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A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries
© The Author(s). 2016
Received: 23 December 2015
Accepted: 13 September 2016
Published: 29 September 2016
Recognition of the importance of effective human resources for health (HRH) planning is evident in efforts by the World Health Organization (WHO) and the Global Health Workforce Alliance (GHWA) to facilitate, with partner organizations, the development of a global HRH strategy for the period 2016–2030. As part of efforts to inform the development of this strategy, the aims of this study, the first of a pair, were (a) to conduct a rapid review of recent analyses of HRH requirements and labour market dynamics in high-income countries who are members of the Organisation for Economic Co-operation and Development (OECD) and (b) to identify a methodology to determine future HRH requirements for these countries.
A systematic search of peer-reviewed literature, targeted website searches, and multi-stage reference mining were conducted. To supplement these efforts, an international Advisory Group provided additional potentially relevant documents. All documents were assessed against predefined inclusion criteria and reviewed using a standardized data extraction tool.
In total, 224 documents were included in the review. The HRH supply in the included countries is generally expected to grow, but it is not clear whether that growth will be adequate to meet health care system objectives in the future. Several recurring themes regarding factors of importance in HRH planning were evident across the documents reviewed, such as aging populations and health workforces as well as changes in disease patterns, models of care delivery, scopes of practice, and technologies in health care. However, the most common HRH planning approaches found through the review do not account for most of these factors.
The current evidence base on HRH labour markets in high-income OECD countries, although large and growing, does not provide a clear picture of the expected future HRH situation in these countries. Rather than HRH planning methods and analyses being guided by explicit HRH policy questions, most of the reviewed studies appeared to derive HRH policy questions based on predetermined planning methods. Informed by the findings of this review, a methodology to estimate future HRH requirements for these countries is described.
the process of estimating the number of persons and the kind of knowledge, skills, and attitudes they need to achieve predetermined health targets and ultimately health status objectives. Such planning also involves specifying who is going to do what, when, where, how, and with what resources for what population groups or individuals so that the knowledge and skills necessary for the adequate performance can be made available according to predetermined policies and time schedules. This planning must be a continuing and not a sporadic process, and it requires continuous monitoring and evaluation. .
Put another way, it involves matching the supply of HRH to the requirements for the services they provide . Despite the centrality of HRH planning to the success of global campaigns such as the Millennium Development Goals , it remains a significant challenge. For example, many countries still lack the capacity to maintain accurate counts of their health care providers . Other countries’ efforts focus on monitoring HRH supply without considering whether it is adequate to meet HRH requirements [5, 6].
Recognition of the importance of effective HRH planning is evident in efforts by the World Health Organization (WHO) and the Global Health Workforce Alliance (GHWA) to facilitate, with partner organizations, the development of a global HRH strategy for the period 2016–2030 . These efforts build on a number of activities undertaken by the WHO to promote evidence-based HRH planning among member countries. For example, the HRH Observer series, published by WHO, has included technical issues on tools for modelling HRH supply and requirements , measuring inequalities in the distribution of HRH , and analysing HRH labour markets in developing countries , among other topics relevant to HRH planning.
To inform this process, the HRH unit of the WHO requested that the authors first conduct a rapid review of recent analyses of HRH requirements and labour market dynamics in the member countries of the Organisation for Economic Co-operation and Development (OECD) who are classified as ‘high income’ by the World Bank. These include Australia, Austria, Belgium, Canada, Chile, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Luxembourg, the Netherlands, New Zealand, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland, the United Kingdom, and the United States (referred to hereafter as the ‘included countries’). Second, it was requested that the authors identify, informed by the findings of the review, a methodology to determine future HRH requirements for these countries.
To identify all analyses of HRH requirements and health care labour market dynamics for high-income OECD countries published in English within the past 10 years
To categorize the analyses according to the type(s) of models used to estimate requirements, the professions included, the time frames over which they apply, any labour market trends identified, and any assumptions on which they were based
To identify key themes and trends in these analyses emerging over time
To identify and report gaps in the knowledge base formed by these analyses to inform the development of a global HRH strategy
To identify a methodology to estimate future HRH requirements in OECD countries
Multiple steps were taken to obtain all possible relevant analyses of HRH requirements and labour market dynamics used in the last decade for the included countries. These included a systematic search of published peer-reviewed literature, targeted searches of key HRH websites, and multi-stage mining of the references of documents obtained through these means. This analysis was undertaken in collaboration with colleagues in the WHO’s Health Workforce unit, who contributed to the development of the search parameters, helped identify potentially relevant websites, and invited prospective members to join an international Advisory Group (AG) of HRH researchers.
Any of the following: Health human resources, HHR, human resources for health, HRH, health workforce, health workers, health manpower, doctors, physicians, nurses, midwives, pharmacists, dentists AND
Any of the following: planning, forecasting, modeling, requirements, needs, demand, gaps, shortage, supply, oversupply, labor market, dynamics, horizon scan, Australia, Austria, Belgium, Canada, Chile, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, South Korea, Luxembourg, the Netherlands, New Zealand, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland, UK, USA, OECD, high-income
Websites of multiple national organizations such as departments of health, bureaus of statistics, and HRH-specific planning bodies were searched, as well as those of international organizations such as the WHO, the GHWA, the OECD, and the World Bank. When search functions were available for website content, the relevant search terms presented above were used. If search functions were not available, sections of these websites titled ‘Publications’, ‘Reports’, or similar were searched for documents pertaining to HRH analyses. A full list of the websites searched is included as Additional file 1.
The database and website searches yielded over 1000 documents deemed to be potentially relevant. The titles, abstracts, and/or executive summaries of these documents were then reviewed to ensure that they were published in English between March 2005 and March 2015 and included a primary analysis of HRH requirements or labour market dynamics in one or more included countries.
In total, 224 documents were included in the review. A data extraction tool was created to facilitate summarization of key features of each of these documents in terms of their scopes, methods, conclusions, and any major issues or themes identified. A copy of this tool is available as Additional file 2.
Although 49 documents included analyses for more than one profession, the majority of these (38) considered those professions in isolation of each other. Only 11 of these included analyses that considered the interdependence between different professions.
Date of publication
Analytical time frames
Types of models used
Of the 224 documents reviewed, 130 described quantitative analytical methods and/or analyses of HRH supply or requirements (as opposed to, for example, focusing on a qualitative discussion of HRH labour market or policy issues). Of these, 29 (22 %) analysed HRH supply only—i.e. without contrasting it with HRH requirements. Among those documents analysing requirements, 49 (38 %) used utilization-based approaches. Twenty-three (18 %) used provider-based approaches while 18 (14 %) used needs-based approaches. We were not able to determine which type of approach was used in eight documents (6 %).
‘Local health board plans’ 
Health needs, willingness/ability to pay, regulatory structures 
Demography, health needs, service levels, productivity, ‘clinical care microsystems’, ‘policy/governance/power’, ‘funds and support’, ‘individual response:behaviour biology’—several of these are identified as influencing both HRH supply and requirements 
Although the assumptions used in these analyses were often not stated explicitly, 13 documents (6 %) included multiple scenarios to demonstrate the sensitivity of their results to different parameter values such as HRH retirements, population growth, or productivity. Each of these demonstrated that projections of future HRH supply and requirements are highly sensitive to different assumptions about how various determinants would change over time.
Trends and issues identified
A number of trends and issues were raised repeatedly in these documents, many of which have been identified by other recent reviews of HRH studies (e.g. [5, 6, 17, 18]). An exhaustive list of citations for documents in which each issue is raised would be prohibitively long, but for each of these recurring topics, a few relevant documents are cited as examples. These recurring topics are listed below under two additional subheadings: ‘Inputs into HRH planning’ and ‘HRH planning methods’.
Inputs into HRH planning
The most frequently raised issue across these documents was the aging of populations. For example, the population aged 65 and older across all OECD countries is expected to increase by over 70 % from 208 million in 2015 to 355 million in 2050, while the number of those aged 80 and over is expected to increase from 56 million to 133 million over the same period . Most of the reviewed documents indicate that this growth in older populations is expected to significantly increase requirements for health care in these countries, because older people tend to use more health care. Other reviewed documents, however, note that this view conflates the relationships between aging, population health, and service requirements They explained that, while the probability of sickness increases with age, population aging is partially reflective of improvements of the average level of health within each age group, and as such, the failure to account for this distinction between demographic and epidemiological shifts results in overestimates of HRH requirements [20–24].
Chronic disease and comorbidities
Multiple documents identified a trend of increasing prevalence of multiple chronic conditions as likely to contribute to increased future requirements for HRH (e.g. [25, 26]). Only a small minority of these, however, included empirical analyses of such trends and their potential impacts on HRH requirements (e.g. ). Others emphasize that this change in the complexity of health care needs will require changes in the skill mix of available HRH (e.g. ) and/or the models of care delivery they use (e.g. [5, 6, 29]); however, we found no documents that modelled the impacts of changes in needs and potential associated changes in skill mix or care models in terms of their impacts on HRH requirements.
Many of the included documents reported that the stock of available HRH in the jurisdictions to which they pertained is aging, for example, an average of one in three physicians in OECD countries is aged 55 or older . This has prompted concerns about large future HRH shortages, and a number of documents included specific analyses of the potential impacts of different retirement scenarios on HRH supply in their respective jurisdictions (e.g. ). In some documents, it is suggested that strategies to encourage HRH to delay retirement be considered as a means of addressing HRH shortages (e.g. ).
HRH migration across countries is frequently raised as an issue in these documents and in several cases is the primary focus of the analysis (e.g. [31, 32]). Perspectives on migration differ across documents, for example, migration is variously identified as a leading cause of (e.g. [33–35, 36]) or important solution to (e.g. [37, 38]) existing and/or projected future imbalances. Others, in contrast, examine the potential impacts of reducing in-migration from other countries, for example, due to concerns about self-sufficiency and the ethics of international recruitment of HRH (e.g. [27, 39]) or in response to perceived HRH surpluses (e.g. ).
Distribution of resources
The planning models included in the review focus on optimizing the number of HRH at a particular jurisdictional level; ensuring those resources are appropriately distributed within a given jurisdiction is an important but separate issue. Regardless of the methods used to analyse HRH requirements, many documents noted that estimated surpluses or shortages at one jurisdictional level (e.g. national) may mask shortages or surpluses at other (e.g. state or municipal) levels (e.g. [25, 41]). Several types of HRH imbalances are discussed. Most often, the imbalance noted is between urban and rural areas (e.g. [34, 42–44]). Other types of imbalances described are those that occur across professions, sectors, and/or specialties, such as between the acute and primary care sectors (e.g. [16, 45–48]).
Interprofessional education and practice
A number of documents included in this review have identified that modern health care increasingly requires the competencies of more than one profession so that systems must begin to rely increasingly on multi-professional teams of health care providers [5, 49–51]. As such, they note the increasing importance of HRH planning models with the capacity for team-based planning as opposed to single professions in isolation (e.g. [5, 6, 16, 47, 52]). However, only a few such models—from Australia [53–56], Canada [57, 58], and New Zealand [29, 59–61]—were found through this review.
Changing care delivery models
Although most of the approaches reviewed assume that current care delivery models will continue in the future, a number of documents (e.g. [28, 62–64]) identify a need for HRH planning models that can incorporate or accommodate changes in care delivery models which may be required to address changes in health care needs and/or address those needs in more effective or efficient ways. Comparatively few of the approaches reviewed [29, 53–61] appear to have the capacity to account for such changes.
Changing practice patterns
Changing practice patterns or other provider behaviours are identified in some documents as determinants of HRH requirements. A frequently cited example of such a change is a reduction in the working hours of physicians; other things equal, such reductions reduce the effective supply of physicians and, by extension, the supply of the services they provide. Although decreases in physician working hours are frequently attributed to the growing proportion of female physicians (e.g. [25, 30, 43, 65–67]), other evidence indicates that this reduction in activity is occurring among all physicians, across gender and age groups [68, 69].
Evolving scopes of practice and regulatory structures
The issue of scopes of practice is addressed in several documents, specifically in terms of expanding scopes of different health professions over time. A specific example involves task-shifting, whereby tasks traditionally performed by one type of HRH (usually relatively expensive and/or scarce, e.g. physicians) are instead delegated to another type of HRH (usually less expensive and/or scarce, e.g. nurses) . Other things equal, task-shifting reduces requirements for the former profession(s) while increasing them for the latter—such as the expansion of Nurse Practitioner scopes of practice and the potential reduction in demand for physicians . More broadly, it was noted that the evolving scopes of practice for all types require increasing familiarity with a growing range of technologies . Although some approaches include the capacity to adjust for changes in scopes of practice (e.g. [29, 55]), similar to another recent review of HRH planning approaches , we found no examples of such changes actually being accounted for in modelling exercises. In none of the included documents were potentially contracting scopes of practice discussed.
Changes to legislation and the other structures that govern the regulation, management, and delivery of health care are identified as an issue in several documents. An example is the Affordable Care Act (ACA) in the United States; one estimate suggests that the ACA will substantially increase demand for nurses . Other examples of regulatory developments likely to impact HRH labour markets are changes to retirement age in countries such as France  and policies aimed at regulating dual practice by physicians . More broadly, it is becoming increasingly recognized that existing national regulatory structures require strengthening to ensure the adoption and implementation of effective HRH policies (e.g. [12, 73, 74]).
Several documents (e.g. [72, 75–77]) discuss the importance of provider financial and non-financial incentives as determinants of provider behaviour. Some of these emphasize the importance of considering these issues within the broader economic context in which HRH live and work (e.g. [40, 78–80]). However, relatively few documents (e.g. [49, 71, 76, 81–83]) include quantitative analyses of the relationships between these incentives and aspects of HRH supply (including levels of participation and activity) or requirements (e.g. as influenced by productivity rates). Some documents factor provider rates of pay into future HRH supply and requirement estimates (e.g. [84–87]); others explicitly investigate the relationship between different incentives and HRH outcomes such as labour force participation and activity (e.g. ). It was also emphasized that the effectiveness of various incentives will vary according to different economic contexts .
Many of the reviewed documents identified technological change as a factor likely to have a significant impact on HRH balance in their respective jurisdictions (e.g. [5, 64, 88]). These include changes in the technology used in health care—such as those allowing for less invasive surgeries —as well as those used by health care consumers, such as mobile phone apps for the management of chronic conditions (e.g. ). The impacts of such changes in terms of HRH, however, are not clear from the analyses included in this review. Comparatively few documents directly incorporate consideration of technology changes into quantitative analyses. Among those that do (e.g. [63, 90]), the exact nature of the changes in question is not made explicit.
Balancing the private and public sectors
The health care systems in the included countries incorporate a mix of public and private service providers, and the relative size of these sectors varies considerably across and within countries. The public sector is the focus of the vast majority of the included analyses, although several documents emphasize the need for better data on, and coordination by national planners with, the private health care sectors (e.g. [6, 91, 92]). An example of the challenges in effectively managing both the public and private health care systems was raised in multiple documents (e.g. [72, 82]) discussing the issue of dual-practising clinicians—i.e. those who provide services in both the public and private sectors—noting that policies intended to dissuade them from devoting time to private practice may instead drive them to leave the public sector entirely.
HRH planning methods
Inconsistent use of terms
Terminology differs across documents, with terms such as ‘need’, ‘demand’, and ‘utilization’ used almost interchangeably by some authors. Crettenden and colleagues , for example, use utilization as a measure of demand, suggesting that the authors consider these to be equivalent. Other documents note that utilization represents the intersection of supply and demand and, unlike in most markets, demand for health care is not independent of supply, which can result in market failure [2, 72, 78]. Similarly, the Centre for Workforce Intelligence  describes its model as estimating demand but uses utilization to measure demand and identifies a needs-based approach  as the basis for the model. Other documents, in contrast, emphasize that these are three distinct constructs, none of which can be considered to be a measure of the other (e.g. [2, 72, 94]).
In addition, the term ‘shortage’ is used to describe different HRH situations in different documents. For example, HRH shortages are defined in terms of vacant HRH positions (e.g. [95, 96]) or measured as the degree to which jurisdictional HRH requirements exceed supply (e.g. [15, 65, 91]). Similarly, the presence of unemployment among HRH is deemed by some to reflect a surplus (e.g. ) whereas in others a surplus is considered to mean that the jurisdictional supply is greater than requirements (e.g. [86, 98, 99]). Others depict surpluses or shortages as determined at least in part by opinion (e.g. [96, 100, 101]).
The planning approaches identified through this review include a mix of theoretical and applied methods. Among the latter, the importance of stakeholder engagement is acknowledged to varying degrees. Perhaps the most thoroughly documented examples of stakeholder engagement in HRH planning methods are the elicitation and horizon scanning efforts described by the United Kingdom’s Centre for Workforce Intelligence [102, 103]. As part of this approach, multiple groups of stakeholders are engaged in a variety of activities at different stages of the analytical process to help planners identify current and potential future HRH planning issues, articulate potential policy scenarios, supplement administrative data with professional opinions, and interpret and validate results based on their respective experiences.
The validity of any HRH planning exercise is contingent upon the availability, relevance, and the accuracy of the data to which planners have access. Needs-based approaches in particular require comprehensive data on not only the supply of HRH but also on the health of the population, planned levels of service provision for different health problems, and HRH productivity, which may not always be available. Despite the online availability of important HRH-related data from organizations such as the WHO and the OECD, almost every document included in this review articulated concerns about inadequacies in the data available to inform HRH planning (e.g. [3, 4, 75, 86]).
Many documents (e.g. [2, 5, 6, 64]) emphasized the importance of HRH planning being conducted on an iterative, ongoing basis. This is not only so that planning models can be updated with the most current available data but also so that the relevant stakeholders can be engaged, the validity of any necessary assumptions can be tested, and the effectiveness of implemented strategies can be regularly assessed.
Limitations of this review
It was not possible to include documents written in languages other than English. This is a particularly important limitation given that English is not an official language for some countries included in the review.
Not all potentially relevant websites could be included in the review, and those that were included could not be searched exhaustively.
It was not possible to mine the references of every relevant document.
Some relevant peer-reviewed publications may not have been part of the databases searched and/or may not have included any of the search terms used in their titles or abstracts. This may be due to variations in the use of headings and sub-categories in the various databases or in the language used to describe HRH research and planning (see the ‘Results’ section for examples).
Limitations of the available evidence
The HRH research and/or policy question(s) to be answered by the various analyses are often not clear; different approaches may be required to answer different questions.
As shown in Fig. 3, the majority of the available studies focus on physicians and nurses; there is little evidence on the supply of—let alone the requirements for—the other HRH that make up each country’s workforce.
Many of the analyses identified through this review were specific to sub-jurisdictions of the included countries, for example, to one Canadian province  or to England  as opposed to the entire United Kingdom. Such analyses cannot provide a complete picture of the overall HRH situations in the countries. For most of the jurisdictions included in this review, no quantitative analyses of national-level HRH gaps—i.e. the difference between HRH supply and HRH requirements—were found. For others, only analyses of HRH supply (not requirements) were found, so it is not possible to present a picture of the HRH situation across the included countries here.
Even among those analyses that project HRH shortages or surpluses, these are measured in different units—for example, head counts as opposed to full-time equivalents (FTEs) in different studies—they span differing time periods, and are specific to a variety of different sectors (e.g. primary care, mental health services, and long-term care).
As outlined above, there are important differences in the various approaches used to conceptualize and measure HRH supply, requirements, shortages, and surpluses across these countries. Some of these approaches, for example, describe their approach as measuring HRH requirements in terms of demand, even though demand in the market for health care is not independent of supply [2, 72, 94], while others do so in terms of need, which is independent of supply. Given these two fundamentally different concepts, estimates of HRH ‘demand’ cannot be meaningfully combined with estimates of HRH needs, since they are likely to address significantly different policy questions and hence generate different conclusions about the adequacy of HRH supply relative to requirements.
Estimates of future HRH supply or requirements, however sophisticated, require numerous assumptions. As a number of the reviewed documents show, the estimated future HRH supplies and requirements are sensitive to differences in these assumptions. Even a few modest changes to these assumptions can mean the difference between a large estimated future shortage and a large estimated future surplus of HRH for a given jurisdiction and time period (e.g. [27, 105]).
Projected national nurse shortages or surpluses by country for 2025
Projected 2025 shortage (−) or surplus (+)
Health Workforce Australia, 2012a
−109,400 (includes RNs and ENs)
Health Workforce Australia, 2012b
Health Workforce Australia, 2014
−85,000 (includes RNs and ENs)
No gap analyses found
No gap analyses found
Tomblin Murphy et al., 2012
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
Maier and Afentakis, 2013
−195,000 (includes RNs and ENs; estimated from graph)
No gap analyses found
No gap analyses found
Training and Employment Authority, 2009
−836 (for year 2020)
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
No gap analyses found
Centre for Workforce Intelligence, 2013
−50,000 (for England only; estimated from graph; taken as midpoint of the range of demand and supply projection scenarios)
Aiken and Cheung, 2008
−1,016,900 (for year 2020; analysis from another study)
Juraschek et al., 2012
−918,232 (for year 2030)
As shown in Table 1, for the majority of included countries, no estimates of the size of any future RN shortage or surplus was found during this review. For the few jurisdictions for which such estimates were found, studies using different methods reached different conclusions. For example, Juraschek and colleagues  projected a shortage of over 900 000 RNs in the United States by 2030; meanwhile, the HRSA , using different methods and assumptions, estimated a surplus of over 300 000 RNs for 2025.
A similar table for physicians would contain more information but no more clarity, since most analyses of physician supply and requirements focus on particular specialty areas such as emergency care  or obstetrics  as opposed to the physician supply as a whole. As Fig. 2 suggests, such a table for other professions would be even more sparsely populated. Virtually all documents reviewed seemed to suggest that HRH supply was expected to increase. Exceptions included, for example, nuclear medicine technologists in Australia , surgeons in Japan , obstetricians-gynaecologists in the United States , and RNs in Israel . In contrast, as exemplified by the United States studies cited above, there are differing views about whether the requirements for different types of HRH are expected to increase or decrease in the future in different jurisdictions. Although most of the included analyses for nurses and physicians suggest that national-level shortages are likely in the next decade, several analyses for other non-physician health professions such as pharmacists and dentists suggest substantial surpluses are likely over this time period (e.g. [111, 112]). Should the scenarios depicted in these projections come to pass, the potential for substitution of different types of HRH would become an increasingly important policy issue; however, as noted above, most of the approaches identified through this review lack the capacity to account for such substitution.
Knowledge gaps resulting from these limitations
There has been a considerable amount of study devoted to the current and potential future states of the supply of and requirements for HRH in high-income OECD countries. Despite these efforts, however, no clear or consistent picture of the status of these countries’ HRH appears to exist. Some of the gaps in information are likely due to limitations in the various strategies used here to collect HRH analyses for this review. However, other recent studies, which did not have the same limitations (e.g. ), describe similar gaps in the information available. This is partly the result of significantly different approaches to HRH planning being used across and within these countries. The appropriateness of different HRH planning approaches for given jurisdictions depends on the objectives of the health care systems and the precise policy questions being asked for which they are planning as well as the context in which that planning takes place.
A methodology for projecting HRH requirements in high-income OECD countries
The approach is consistent with the objectives of the health care system.
This means, for example, that a system whose objective involves addressing the health care needs of its population must use an HRH planning method that estimates HRH requirements as a function of population health measures so that resources can be planned in accordance with levels of—and potential changes in—the population’s needs for health care. Resources are then allocated between populations based on differences in needs between those populations and increased or decreased over time in accordance with increases or decreases in those needs, while also allowing for changes in the way needs are to be met (e.g. using new technologies or different types of health care teams). Although meeting population health care needs is a goal shared by many health care systems, the findings of this review indicate that few countries appear to be using needs-based methods for HRH planning. Instead, those HRH analyses we found appear to be using utilization- or supply-based approaches. For countries such as the United States, where the ability to pay for health care services has traditionally been an important element of access to care, utilization-based approaches may be more relevant in addressing the policy questions facing decision-makers. Although some of these approaches (e.g. ) incorporate consideration of how population health needs affect service use, this is done within the context of the prevailing organization of services in the United States and hence are unlikely to represent how needs for care would be served in the absence of payment at the point of delivery or via private insurance plans as a means of using care. For countries where meeting population health care needs is a primary objective, however, failure to plan for HRH according to those needs means planning not to meet that system objective. Moreover, the use of supply- or utilization-based approaches will perpetuate and exacerbate existing inefficiencies and inequalities in these systems ([2, 113, 114]).
Needs-based approaches to HRH and health system planning are not new. Over 40 years ago, the WHO , for example, outlined a history of them dating back to at least the 1930s in the United States, also noting their widespread use in what are now former Soviet states. A more detailed description was later provided by Hall , and subsequently, such approaches were also described in the 1980s and 1990s in the United Kingdom [117, 118] and Canada [119–122]. Several more recent examples from Australia [53–56], Canada [2, 27, 57, 58, 104], and New Zealand [29, 59–61] were identified during this review.
Requirements for HRH are a manifestation of requirements for the services they provide. Hence, estimates of HRH requirements must be derived from estimates of the requirements for those services. This makes it possible to consider and plan for potential future changes in the way services are delivered resulting from new technologies, changes in scopes of practice, and so on. The results of this review show, however, that HRH planning approaches that cannot account for such changes—such as the use of provider-population ratios—remain prevalent. This is unfortunate given that the major limitations of such approaches have been extensively documented for decades. For example, the WHO noted over 40 years ago that such approaches may be appropriate in,
HRH requirements are derived from service requirements, and
Those service requirements are aligned with system objectives.
…a country, whatever its stage of development, where professional judgement, backed by utilization studies, suggests that the current patterns of the organizations and delivery of health services [through] existing ratios do not present any anomalies or problems. Unfortunately, such situations are rare, and in any case this static view of society implies that the present situation cannot be significantly improved upon in the foreseeable future.
The exclusive use of health manpower: population ratios for the estimation of future health manpower requirements is increasingly difficult to justify in the developed countries where, depending on the specific characteristics of the health system, other and more refined criteria can be used to improve the country’s capacity to provide health care. .
Other analyses found in this review use methods based on historical population-utilization ratios without any consideration of whether those ratios are consistent with the objectives of the health care system in question. The use of these methods for planning future services—and hence HRH—perpetuates any current patterns of inappropriate use such as over-reliance on emergency departments instead of primary health care or inadequate access to (and therefore use of) services by disadvantaged populations. The needs-based approaches from Australia, Canada, and New Zealand included in this review do not have this limitation. In addition, some ‘needs-informed’ but ultimately utilization-based approaches, such as those described by Dall and colleagues  and Gallagher and colleagues , are designed to explicitly account for potential changes to service provision as a consequence of, for example, changes in health care legislation or practice models.
The approach considers HRH requirements in the context of production functions for health services (i.e. dependent upon the availability or use of other inputs to service production).
Although the availability of HRH is important to the delivery of health care services, other types of human and non-human resources, such as facilities, equipment, and medications, are also necessary. Effective health systems planning approaches must recognize this dependency by considering how the availability (or lack thereof) of (a) other HRH and (b) non-human resources may affect their collective production of health care services, including the potential for substitution of one type of resource for another. For example, the availability of operating theatre nurses or operating theatres may impact on the volume of surgeries that surgeons can perform, even if the number of surgeons and the hours they work remain the same. The review found several examples of approaches that explicitly incorporated this potential for different types of HRH (e.g. [29, 53, 123]). However, although documents sometimes acknowledged the influence of the availability of non-human resources on HRH requirements, the review found no analyses that directly incorporated this relationship.
The approach explicitly considers the role and determinants of productivity (i.e. units of service per hour of work).
In order to translate health care service requirements into HRH requirements, HRH planners must consider the rate at which different types of HRH are able to provide those services per unit time—i.e. their productivity—under a given set of circumstances. In addition to the needs-based approaches referred to above, numerous other analyses found by the review (e.g. [25, 96, 124, 125]) explicitly included productivity as part of their calculations. Although the contexts in which productivity was considered varied widely across these documents, they generally showed that projections regarding the future HRH situation are highly sensitive to even small changes to HRH productivity.
HRH supply is measured in terms of time devoted to service delivery (i.e. flow generated by a stock of HRH) as opposed to focusing only on the HRH stock (numbers of HRH).
The availability of health care services is determined by a number of factors in addition to the raw ‘stock’ or head count of different types of HRH available to provide them. Analyses in many countries have shown how changes or differences in these factors can have profound effects on the effective supply of HRH (e.g. [30, 66, 68]), and most of the HRH supply analyses found through the review considered at least one of these, most frequently hours worked. Several analyses (e.g. [96, 126, 127]), however, did not take any of these factors into account and instead estimated HRH supply based solely on head counts.
The approach considers the determinants of flow (e.g. hours worked) and stock (entries/exits) as policy variables.
The factors that determine the stock and flow of HRH supply, such as the amount of time spent providing patient care (activity levels), and the proportion of licensed HRH who are actively practising (participation levels), are sensitive—to varying degrees—to HRH policies such as education and payment models. Most of the analyses of HRH supply found through the review reflected this situation; in some cases, such factors were the primary focus of the analyses (e.g. [72, 78, 82]).
- 7.The approach considers the following:
The cost implications of HRH plans and
The extent to which HRH plans are aligned with health system financial planning
Essential to determining the relative appropriateness of any potential HRH policy is an understanding of its financial implications in the broader context of the jurisdictional fiscal situation. Although many of the documents included in the review acknowledged this point, comparatively few (e.g. [16, 76, 86, 128]) explicitly incorporated financial considerations into their analyses.
Although over 200 documents discussing the HRH situations in the included countries were reviewed as part of this study, it appears that none of these approaches to HRH planning meets all seven of the above criteria. However, several of the approaches described above meet all but one. The needs-based approaches described in Australia [53–56], Canada [57, 58], and New Zealand [29, 59–61] each identify specific service requirements based on population health needs and translate these into HRH requirements based on information on scopes of practice and standards of care delivery. However, the Australian and New Zealand approaches do not appear to explicitly consider the role and determinants of productivity, while the Canadian approach does not include considerations of cost implications. Further, as noted above, none of the identified approaches appears to account for the impact of non-human resources on HRH requirements.
An example of a methodology for projecting HRH requirements in the included countries, then, could build on these needs-based approaches. This would require augmenting them in two ways. First, the Canadian approach would need additional features to include consideration of cost implications, and the Australian and New Zealand approaches would need to be further developed to include consideration of the role and determinants of productivity. Second, both approaches would need further enhancements to include consideration of the impacts of the availability of non-human resources.
The second of these two improvements is evidently the more difficult to achieve, as no HRH planning approaches found through this review included consideration of the impacts of non-human resources. The first of these improvements, however, has already begun. An analytical framework for such an approach has been developed by a team from Canada, Australia, and New Zealand  that extends existing needs-based methods to include consideration of the implications of HRH and other health system policies on the system’s fiscal and socio-political sustainability. This framework has not yet been applied and was not included in the review because it was published after its specified time frame. Similar international collaborations may be one way of encouraging the continued advancement of HRH planning methods so that in the future they are also able to account for the impacts of non-human resources.
This review sought to synthesize the findings of the past decade of published research on HRH requirements and labour market dynamics in high-income OECD countries. Although over 200 documents pertaining to these topics were reviewed in detail, collectively, they do not include sufficient information to provide a clear picture of the expected future HRH situation in these countries. At best, it can be said that the HRH supply in these countries is generally expected to grow. Because different analyses reach different conclusions about future HRH requirements in these countries, it is not clear whether that growth will be adequate to meet health care system objectives in the future. Although most analyses suggest that the numbers of physicians and nurses required in the included countries are likely to increase in the future, this view varies across analyses depending on the methods and assumptions used. Further, most analyses for professions other than nurses and physicians suggest that the numbers required are likely to decrease in the future. The implications of these projected respective surpluses and shortages in terms of meeting health care system objectives are not clear.
Several recurring themes regarding factors of importance in HRH planning were evident across the documents reviewed. These included the following: aging populations and health workforces; changes in disease patterns, models of care delivery, scopes of practice, regulatory structures, and technologies in health care; migration; incentives; data quality; the distribution of resources; interprofessional education and practice; stakeholder engagement; and balancing the public and private sectors. They also included important inconsistencies in the use of key HRH planning terms, which in turn affected the choice of methods in different documents for HRH planning.
Different approaches to HRH planning will be appropriate for different jurisdictions depending on their respective contexts and the objectives of their health care systems and hence the policy questions being faced. Based on these objectives, methods need to be adopted that produce relevant answers for the precise HRH questions facing policymakers in their particular contexts. The results of this review suggest, however, that rarely have explicit policy questions been identified to guide HRH research methods and analyses; instead, available methods have been adopted with policy ‘interests’ (as distinct from questions) made to fit these methods.
In an attempt to inform improvements to this situation, seven criteria for identifying an HRH planning approach appropriate to a given jurisdiction have been presented. Although none of the approaches found through the review met all of these criteria, several—from Australia, Canada, and New Zealand—met all but one. Examples of other approaches which met each individual criterion have also been identified so that planners can explore different options depending on the relative importance of these criteria given their respective circumstances and health system objectives.
- 1.Identifying and engaging with the relevant HRH stakeholders in their respective jurisdictions to review and discuss the findings of this review and their implications for HRH planning in that jurisdiction. This may include consideration of the degrees to which
The criteria for HRH planning approaches identified here are relevant for their jurisdiction,
HRH planning approaches currently in use in their jurisdiction are consistent with those criteria, and
HRH planning approaches currently in use in their jurisdiction could be improved by incorporating elements from others identified through this review.
Assessing the degree to which available data are adequate to inform HRH planning in that jurisdiction. Concerns about data are as long-standing as the study of HRH planning itself . However, as has been noted elsewhere (e.g. ), problems with data are not avoided by relying on conceptually invalid models that ignore fundamental health care system objectives such as meeting population health needs by failing to incorporate measures of these or cannot account for potential future changes in factors such as productivity. It is better to base plans on appropriate concepts imperfectly measured than on inappropriate concepts that can be easily measured. If a particular jurisdiction’s HRH stakeholders deemed the data available to them inadequate to fully inform planning, then investments should be made in improving the quality of the available data rather than in further entrenching the use of intrinsically flawed models. To that end, the identification and assessment of the data required to inform HRH planning should be based on the question of how many of what type of HRH are required to perform what services, for whom, and under what circumstances .
Items (1) and (2) above must be repeated on a regular basis as part of an iterative process for improving the alignment of HRH planning inputs and processes with the objectives of the jurisdiction’s health care system.
The authors are grateful for the guidance provided by Jim Campbell and Giorgio Cometto of the World Health Organization’s HRH unit, which also provided the funding for this work. The authors also acknowledge the contributions of the international Advisory Group whose members who were invited to provide supplementary documents to the review as well as input on the description of the methodology for estimating future HRH requirements. The members of the group were James Buchan, Jackie Cumming, Mario Dal Poz, Marjolein Dieleman, Gilles Dussault, Paulo Ferrinho, Maureen McCarty, Martine Morin, Guiliano Russo, Edward Salsberg, Tony Scott, and Kai Straehler-Poz.
GTM and SB led the conceptualization of the study; guided the development of the review parameters, the collection and analyses of the documents, and the reporting of the findings; led the development of the HRH planning criteria; and contributed to the writing of the manuscript. AM contributed to the conceptualization of the study as well as the development of the review criteria and the HRH planning criteria and led the collection and analyses of the documents, reporting of the findings, and writing of the manuscript. SB contributed to the development of the review parameters, the collection and analyses of the documents, and the writing of the manuscript. AER contributed to the collection and analyses of the documents and the writing of the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests. Although several papers by some of the authors were among those included in the review, we have endeavoured to discuss all the included papers with equal impartiality.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Mejía A, Fülöp T. Health manpower planning: an overview. In: Hall T, Mejía A, editors. Health manpower planning: principles, methods, issues. Geneva: WHO; 1978. p. 9–30.Google Scholar
- Birch S, Kephart G, Tomblin Murphy G, O’Brien-Pallas L, Alder R, MacKenzie A. Human resources planning and the production of health: a needs-based analytical framework. Canadian Public Policy. 2007;33(Supplement):S1–S16.View ArticleGoogle Scholar
- Campbell J, Dussault G, Buchan J, Pozo-Martin G, Martin F, Guerra Arrias M, et al. A universal truth: no health without a workforce. Recife, Brazil. Geneva: Report on the Third Global Forum on Human Resources for Health; 2014.Google Scholar
- Matrix Insight. EU level Collaboration on Forecasting Health Workforce Needs, Workforce Planning and Health Workforce Trends – A Feasibility Study. Brussels: European Commission; 2007.Google Scholar
- Dussault G, Buchan J, Sermeus W, Padaiga Z. Assessing future health workforce needs. Copenhagen: WHO; 2010.Google Scholar
- Ono T, Lafortune G, Schoenstein M. Health workforce planning in OECD Countries: a review of 26 projection models from 18 countries. OECD Health Working Papers. 2013; 62: 1–130.Google Scholar
- World Health Organization Secretariat. Draft global strategy on human resources for health: Workforce 2030. Geneva: WHO; 2016.Google Scholar
- Dal Poz M, Dreesch N, Fletcher S, Gedik G, Gupta N, Hornby PSD. Models and tools for health workforce planning and projections. Human Resources for Health Observer. 2010; 3:1–17.Google Scholar
- Anand S. Measuring health workforce inequalities: methods and application to China and India. Human Resources for Health Observer. 2010; 5:1–42.Google Scholar
- Scheffler RM, Bruckner T, Spetz J. The labour market for human resources for health in low and middle-income countries. Human Resources for Health Observer. 2012;10: 1–20.Google Scholar
- Scottish Executive. Health workforce plan 2006. Edinburgh: Scottish Executive; 2006.Google Scholar
- McPake B, Maeda A, Araujo EC, Lemeire C, El Maghraby A, Cometto G. Why do health labour market forces matter? Bull World Health Organ. 2013;91:841–6.PubMedPubMed CentralView ArticleGoogle Scholar
- Masnick K, McDonnell G, Masnick K, McDonnell G. A model linking clinical workforce skill mix planning to health and health care dynamics. Hum Resour Health. 2010;8:11.PubMedPubMed CentralView ArticleGoogle Scholar
- United States Health Resources and Services Administration (HRSA). Health workforce projections: Respiratory Therapists. Washington: US Department of Health and Human Services; 2015.Google Scholar
- Centre for Workforce Intelligence. A strategic review of the future healthcare workforce: Informing medical and dental student intakes. London: CfWI; 2012.Google Scholar
- Tennant M, Kruger E. Turning Australia into a ‘flat-land’: what are the implications for workforce supply of addressing the disparity in rural-city dentist distribution. Int Dent J. 2014;64:29–33.PubMedView ArticleGoogle Scholar
- Kuhlmann E, Batenburg R, Groenewegen PP, Larsen C. Bringing a European perspective to the health human resources debate: a scoping study. Health Policy. 2013;110:6–13.PubMedView ArticleGoogle Scholar
- Fellows J, Lyscom T, Burge C, Edwards M. Horizon 2035: International responses to big picture challenges. London: Centre for Workforce Intelligence; 2014.Google Scholar
- OECD. Population age structure. Paris:OECD; 2015.Google Scholar
- Keefe J, Légaré J, Carrière Y. Developing new strategies to support future caregivers of older Canadians with disabilities: projections of need and their policy implications. Canadian Public Policy. 2007;33(Supplement):S66–80.Google Scholar
- Salsberg E, Erickson C. The changing physician workforce landscape—implications for physical medicine and rehabilitation. American Journal of Physical Medical Rehabilitation. 2007;86(10):838–44.View ArticleGoogle Scholar
- Tomblin Murphy G, Kephart G, Lethbridge L, O’Brien-Pallas L, Birch S. Planning for what? Challenging the assumptions of health human resources planning. Health Policy. 2009;92(2-3):225–33.PubMedView ArticleGoogle Scholar
- Birch S, Mason T, Sutton M, Whittaker W. Not enough doctors or not enough needs? Refocusing health workforce planning from providers and services to populations and needs. Journal of Health Services Research and Policy. 2013;18(2):107–13.View ArticleGoogle Scholar
- Mason T, Sutton M, Whittaker W, Birch S. Exploring the limitations of age-based models for health care planning. Soc Sci Med. 2015;132:11–9.PubMedView ArticleGoogle Scholar
- Buske L. Projections of physician supply in Canada. Ottawa: Canadian Medical Association; 2007.Google Scholar
- Helsedirektoratet, World Health Organization, Global Health Workforce Alliance. Consultation on human resources for health for high income countries. Preparatory Meeting for the Third Global Forum on HRH: Meeting Report. Geneva: WHO; 2013Google Scholar
- Tomblin Murphy G, Birch S, MacKenzie A, Alder R, Lethbridge L, Little L. Eliminating the shortage of registered nurses in Canada: an exercise in applied needs-based planning. Health Policy. 2012;105:192–202.PubMedView ArticleGoogle Scholar
- Organisation for Economic Co-operation and Development. The looming crisis in the health workforce: How Can OECD Countries Respond? Paris: OECD; 2008.Google Scholar
- New Zealand Ministry of Health. Aged care workforce service review. Wellington: New Zealand Ministry of Health; 2011.Google Scholar
- Johannessen KA, Hagen TP. Variations in labor supply between female and male hospital physicians: results from a modern welfare state. Health Policy. 2012;107:74–82.PubMedView ArticleGoogle Scholar
- Buchan J. Achieving workforce growth in UK nursing: policy options and implications. Collegian. 2009;16:3–9.PubMedView ArticleGoogle Scholar
- Ognyanova D, Busse R. A destination and a source: Germany manages regional health workforce disparities with foreign medical doctors. In: Wismar M, Maier CB, Glinos IA, Dussault G, Figueras J, editors. Health professional mobility and health systems: evidence from 17 European countries. Copenhagen: World Health Organization; 2011. p. 211–42.Google Scholar
- Longley M, Riley N, Davies P, Hernández-Quezvedo C. United Kingdom (Wales) health system review. Health Systems in Transition. 2012;14:11.Google Scholar
- Pantelli D, Sagan A, Busse R. Poland health system review. Health Systems in Transition. 2011;13:8.Google Scholar
- Sigurgeirsdóttir S, Waagfjörð J, Maresso A. Iceland health system review. Health Systems in Transition. 2014;16:6.Google Scholar
- Gaál P, Szigeti S, Csere M, Gaskins M, Panteli D. Hungary health system review. Health Systems in Transition. 2011;13:5.Google Scholar
- Health Workforce Australia. Australia’s future health workforce—doctors. Canberra:; 2014.Google Scholar
- Cooper RA. The US physician workforce, where do we stand? Paris: OECD; 2008.Google Scholar
- Royal Australasian College of Surgeons. Surgical workforce projections to 2025 (for Australia). Melbourne: RACS; 2011.Google Scholar
- Aiken LH. U.S. nurse labor market dynamics are key to global nurse sufficiency. Health Serv Res. 2007;42(3):1299–320.PubMedPubMed CentralView ArticleGoogle Scholar
- United States Health Resources and Services Administration (HRSA). The future of the nursing workforce. Washington: National- and State-Level Projections, 2012-2025; 2014.Google Scholar
- Toyokawa S, Kobayashi Y. Increasing supply of dentists induces their geographic diffusion in contrast with physicians in Japan. Soc Sci Med. 2010;71:2014–9.PubMedView ArticleGoogle Scholar
- Chevreul K, Durand-Zaleski I, Bahrami S, Hernández-Quevedo C, Mladovsky P. France health system review. Health Systems in Transition. 2010;12:6.Google Scholar
- Hawthorne N, Anderson C. The global pharmacy workforce: a systematic review of the literature. Hum Resour Health. 2009;7:48.PubMedPubMed CentralView ArticleGoogle Scholar
- Ide H, Yasunaga HKT, Koike S, Taketani Y, Imamura T. The dynamics of obstetricians and gynecologists in Japan: a retrospective cohort model using the nationwide survey of physicians data. Journal of Obstetrics & Gynaecology Research. 2009;35(4):761–6.View ArticleGoogle Scholar
- Olejaz M, Nielsen AJ, Rudkjøbing A, Okkels Birk H, Krasnik A, Hernández-Quevedo C. Denmark health system review. Health Systems in Transition. 2012;14:2.Google Scholar
- Anell A, Glenngård AHMS. Sweden health system review. Health Systems in Transition. 2012;14:5.Google Scholar
- Ishikawa T, Ohba H, Yokooka Y, Nakamura K, Ogasawara K. Forecasting the absolute and relative shortage of physicians in Japan using a system dynamics model approach. Hum Resour Health. 2013;11:14.View ArticleGoogle Scholar
- Dubois CA, Singh D. From staff-mix to skill-mix and beyond: towards a systemic approach to health workforce management. Hum Resour Health. 2009;7(87):1–19.Google Scholar
- Scott A, Sivey P, Joyce C, Schofield D, Davies P. Alternative approaches to health workforce planning. Adelaide: National Health Workforce Planning and Research Collaboration; 2011.Google Scholar
- European Commission. Commission staff working document on an action plan for the EU health workforce. Strasbourg: European Commission; 2012.Google Scholar
- New York Health Workforce Data System, Center for Health Care Workforce Studies. The health care workforce in New York: Trend s in the supply and demand for health workers. Resselaer: Center for Health Care Workforce Studies; 2014.Google Scholar
- Andrews G, Titov N. Changing the face of mental health care through needs-based planning. Aust Health Rev. 2007;31(Supplement):S122–8.PubMedView ArticleGoogle Scholar
- Segal L, Dalziel K, Bolton T. A work force model to support the adoption of best practice care in chronic diseases—a missing piece in clinical guideline implementation. Implement Sci. 2008;3:35.PubMedPubMed CentralView ArticleGoogle Scholar
- Segal L, Leach MJ. An evidence-based health workforce model for primary and community care. Implement Sci. 2011;6:93.PubMedPubMed CentralView ArticleGoogle Scholar
- Segal L, Leach MJ, May E, Turnbull C. Regional primary care team to deliver best-practice diabetes care: a needs-driven health workforce model reflecting a biopsychosocial construct of health. Diabetes Care. 2013;36(7):1898–907.PubMedPubMed CentralView ArticleGoogle Scholar
- Tomblin Murphy G, MacKenzie A, Alder R, Langley J, Hickey M, Cook A. Pilot-testing an applied competency-based approach to health human resources planning. Health Policy and Planning. 2013;28(7):739–49.PubMedView ArticleGoogle Scholar
- Tomblin Murphy G, MacKenzie A, Rigby J, Rockwood K, Gough AGA, Montpetit F, et al. Service-based health human resources planning for older adults. J Am Med Dir Assoc. 2013;14(8):611–5.PubMedView ArticleGoogle Scholar
- New Zealand Ministry of Health. Diabetes workforce service review. Wellington: New Zealand Ministry of Health; 2011.Google Scholar
- New Zealand Ministry of Health. Mental health and addictions workforce service forecast. Wellington: New Zealand Ministry of Health; 2011.Google Scholar
- New Zealand Ministry of Health. Dermatology workforce service forecast. Wellington:New Zealand Ministry of Health; 2014.Google Scholar
- Ireland Health Service Executive. Medical workforce planning: Second interim project report. Dublin: Ireland Health Service Executive; 2014.Google Scholar
- New Zealand Ministry of Health. Health workforce development: An overview. Wellington: New Zealand Ministry of Health; 2006.Google Scholar
- Health Education England. Workforce plan for England: Proposed Education and Training Commissions for 2014/15. London: Health Education England; 2013.Google Scholar
- Health Workforce Australia. Health workforce 2025, vol. 1: Doctors, Nurses and Midwives. Adelaide: Health Workforce Australia; 2012.Google Scholar
- Koike S, Matusmoto S, Kodama T, Ide H, Yasunaga HIT. Estimation of physician supply by specialty and the distribution impact of increasing female physicians in Japan. BMC Health Serv Res. 2009;9:180.PubMedPubMed CentralView ArticleGoogle Scholar
- Goodyear-Smith F, Janes R. New Zealand rural primary health care workforce in 2005: more than just a doctor shortage. Aust J Rural Health. 2008;16:40–6.PubMedView ArticleGoogle Scholar
- Crossley TF, Hurley J, Jeon SH. Physician labour supply in Canada: a cohort analysis. Health Econ. 2009;18:437–56.PubMedView ArticleGoogle Scholar
- Stordeur S, Leonard C. Challenges in physician supply planning: the case of Belgium. Hum Resour Health. 2010;8:28.PubMedPubMed CentralView ArticleGoogle Scholar
- Dall T, West T, Chakrabati R, Iobucci W. The complexities of physician supply and demand: projections from 2013 to 2035. Washington: Association of American Medical Colleges; 2015.Google Scholar
- Spetz J. How will health reform affect demand for RNs? Nurs Econ. 2014;32(1):42–4.PubMedGoogle Scholar
- McPake B, Scott A, Edoka I. Analyzing markets for health workers. Washington: World Bank; 2014.Google Scholar
- Campbell J, Buchan J, Cometto G, David B, Dussault G, Fogstad H, et al. Human resources for health and universal health coverage: fostering equity and effective coverage. Bull World Health Organ. 2013;91:853–63.PubMedPubMed CentralView ArticleGoogle Scholar
- Stange K. How does provider supply and regulation influence health care markets? Evidence from nurse practitioners and physician assistants. J Health Econ. 2014;33:1–27.PubMedView ArticleGoogle Scholar
- Dubois CA, McKee M, Nolte E. Human resources for health in Europe. Berkshire: Open University Press; 2006.Google Scholar
- Baltagi BH, Bratberg E, Helge HT. A panel data study of physicians’ labor supply: the case of Norway. Health Econ. 2005;14:1035–45.PubMedView ArticleGoogle Scholar
- Cox A, Grimshaw D, Carroll M, McBride A. Reshaping internal labour markets in the National Health Service: new prospects for pay and training for lower skilled service workers. Hum Resour Manag J. 2008;18(4):347–65.View ArticleGoogle Scholar
- McRae I, Butler JRG. Supply and demand in physician markets: a panel data analysis of GP services in Australia. Int J Health Care Finance Econ. 2014;14:269–87.PubMedPubMed CentralView ArticleGoogle Scholar
- Buchan J, Aiken LH. Solving nursing shortages: a common priority. J Clin Nurs. 2008;17(24):3262–8.PubMedPubMed CentralView ArticleGoogle Scholar
- Buchan J, O’May F, Dussault G. Nursing workforce policy and the economic crisis: a global overview. J Nurs Scholarsh. 2013;46(3):298–307.Google Scholar
- Marvasti A. An estimation of the demand and supply for physicians services using a panel data. Econ Model. 2014;43:279–85.View ArticleGoogle Scholar
- Jeon SH, Hurley J. Physician resource planning in Canada: the need for a stronger behavioural foundation. Canadian Public Policy. 2010;36(3):359–75.PubMedView ArticleGoogle Scholar
- Buchan J, Black S. The impact of pay increases on nurses’ labour market: a review of evidence from four OECD countries. Paris: OECD; 2011.Google Scholar
- World Health Organization Western Pacific Office. WPRO workforce projection tool version 1.0 user’s manual. Manila: WHO Western Pacific Office; 2008.Google Scholar
- World Health Organization. Workload indicators of staffing need (WISN) software manual. Geneva: WHO; 2010.Google Scholar
- Gallagher JE, Kleinman ER, Harper PR. Modelling workforce skill-mix: how can dental professionals meet the needs and demands of older people in England? Br Dent J. 2010;208:E6.PubMedView ArticleGoogle Scholar
- Spetz J, Dyer WT, Chapman S, Seago JA. Hospital demand for licensed practical nurses. West J Nurs Res. 2006;28(6):726–39.PubMedView ArticleGoogle Scholar
- Centre for Workforce Intelligence. A strategic review of the future pharmacist workforce: informing pharmacist student intakes. London: CfWI; 2013.Google Scholar
- Arnhold M, Quade MKW. Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. Journal of Medical Internet Research. 2014;16(4):e104.PubMedPubMed CentralView ArticleGoogle Scholar
- Baumann A, Kolotylo C. Forecasting future workforce demand: a process evaluation. Hamilton: Nursing Health Services Research Unit; 2010.Google Scholar
- Oakley P, Ngo S, Vinten M, Budjanovcanin A. NHS Wales: midwifery workforce planning project. Cardiff: Developing a Workforce Planning Model; 2008.Google Scholar
- Centre for Workforce Intelligence. Horizon scanning—a strategic review of the future healthcare workforce. London: CfWI; 2013.Google Scholar
- Crettenden IF, McCarty M, Fenech BJ, Heywood T, Taitz MC, Tudman S. How evidence-based workforce planning in Australia is informing policy development in the retention and distribution of the health workforce. Hum Resour Health. 2014;12:7.PubMedPubMed CentralView ArticleGoogle Scholar
- Holmes M. Developing an open source simulation model of physician supply and healthcare utilization. Washington: Association of American Medical Colleges Workforce Conference; 2012.Google Scholar
- Crescent Management Consulting. New Brunswick health human resources supply and demand update 2008-2015. Fredericton: New Brunswick Department of Health; 2009.Google Scholar
- Barber P, González López-Valcárcel B. Forecasting the need for medical specialists in Spain: application of a system dynamics model. Hum Resour Health. 2010;8:24.PubMedPubMed CentralView ArticleGoogle Scholar
- Chaloff J. Immigration of Health Professionals to Italy: Mismatches in the formal sector, expansion of the informal sector. Paris: OECD; 2008.Google Scholar
- Takata H, Nagata H, Nogawa H, Tanaka H. The current shortage and future surplus of doctors: a projection of the future growth of the Japanese medical workforce. Hum Resour Health. 2011;9:14.PubMedPubMed CentralView ArticleGoogle Scholar
- United States Health Resources and Services Administration (HRSA). Technical documentation for HRSA’s health workforce simulation model. Rockville: US Department of Health and Human Services; 2014.Google Scholar
- Van Greuningen M, Batenburg RS, Van der Velden LFJ. Ten years of health workforce planning in the Netherlands: a tentative evaluation of GP planning as an example. Hum Resour Health. 2012;10:21.PubMedPubMed CentralView ArticleGoogle Scholar
- Van Greuningen M, Batenburg RS, Van der Velden LFJ. The accuracy of general practitioner workforce projections. Hum Resour Health. 2013;11:31.PubMedPubMed CentralView ArticleGoogle Scholar
- Centre for Workforce Intelligence. Horizon scanning: Analysis of fac tors and forces. London: CfWI; 2014.Google Scholar
- Centre for Workforce Intelligence. Elicitation methods: Applying elicitation methods to robust workforce planni ng. London: CfWI; 2015.Google Scholar
- Singh D, Lalani H, Kralj B, Newman E, Goodyear J, Hellyer D, et al. Ontario population needs-based physician simulation model. Toronto: Ontario Ministry of Health and Long-Term Care; 2010.Google Scholar
- Centre for Health Workforce Intelligence. Future midwifery workforce projections: Starting the discussion. London: CfWI; 2013.Google Scholar
- Juraschek SP, Zhang X, Ranganathan VK, Lin VW. United States registered nurse workforce report card and shortage forecast. Am J Med Qual. 2012;27(3):241–9.PubMedView ArticleGoogle Scholar
- Sullivan AF, Ginde AA, Espinola JA, Camargo CA. Supply and demand of board-certified emergency physicians by U.S. state, 2005. Acad Emerg Med. 2009;16(10):1014–8.PubMedView ArticleGoogle Scholar
- Anderson BL, Hale RW, Salsberg E, Sculkin J. Outlook for the future of the obstetrician-gynecologist workforce. American Journal of Obstetrics & Gynecology. 2008;199(1):e1–8.View ArticleGoogle Scholar
- Adams E, Schofield D, Cox J, Adamson B. Will the Australian nuclear medicine technologist workforce meet anticipated health care demands? Aust Health Rev. 2008;32(2):282–91.PubMedView ArticleGoogle Scholar
- Nirel N, Riba S, Reicher S, Toren O. Registered nurses in Israel—workforce employment characteristics and projected supply. Israel Journal of Health Policy Research. 2012;1(1):11.PubMedPubMed CentralView ArticleGoogle Scholar
- United States Health Resources and Services Administration (HRSA). Health workforce projections: Pharmacists. Washington: US Departent of Health and Human Services; 2015.Google Scholar
- United States Health Resources and Services Administration (HRSA). National and state-level projections of dentists and dental hygienists in the U.S., 2012-2025. Washington:US Department of Health and Human Services; 2015.Google Scholar
- Evans RG. There’s no reason for it, it’s just our policy. Healthcare Policy. 2009;5(2):14–24.PubMedPubMed CentralGoogle Scholar
- Brocklehurst P, Tickle M. Planning a dental workforce for the future for the National Health Service in the United Kingdom: what factors should be accounted for? Health Educ J. 2011;71(3):340–9.View ArticleGoogle Scholar
- World Health Organization. The development of studies in health manpower: Report of a WHO scientific working group. Geneva: WHO; 1971.Google Scholar
- Hall T. Demand. In: Hall T, Mejía A, editors. Health manpower planning: principles, issues, methods. Geneva: WHO; 1978. p. 57–90.Google Scholar
- Birch S. Equity and efficiency in medical manpower planning: defining objectives and looking towards the future. Health Policy. 1985;4:341–6.PubMedView ArticleGoogle Scholar
- Birch S, Maynard A. Dental manpower. Social Policy & Administration. 1985;19(3):199–217.View ArticleGoogle Scholar
- Eyles J, Birch S, Chambers S, Hurley J, Hutchinson B. A needs-based methodology for allocating health care resources in Ontario. Canada: development and an application. Social Science & Medicine. 1991;33:4.Google Scholar
- Birch S, Chambers S. To each according to need: a community-based approach to allocating health care resources. Can Med Assoc J. 1993;149(5):607–12.Google Scholar
- Newbold KB, Eyles J, Birch S, Spencer A. Allocating resources in health care: alternative approaches to measuring needs in resource allocation formula in Ontario. Health and Place. 1998;4(1):79–89.PubMedView ArticleGoogle Scholar
- Birch S, Eyles J, Hurley J, Hutchinson B, Chambers S. A needs-based approach to resource allocation in health care. Canadian Public Policy. 1993;19(1):68–85.View ArticleGoogle Scholar
- Scottish Government. An analysis of the dental workforce in Scotland. Edinburgh: NHS Education for Scotland; 2010.Google Scholar
- Artoisenet C, Deliège D. Medical workforce in Belgium: assessment of future supply and requirements. Louvain Médical. 2006;125(1):4–21.Google Scholar
- Dill MJ, Salsberg E. The complexities of physician supply and demand: projections through 2025. Washington: Association of American Medical Colleges; 2008.Google Scholar
- Capaciteits Orgaan. The 2013 Recommendations for medical specialist training. Utrecht: Capaciteits Orgaan; 2013.Google Scholar
- Landry MD, Ricketts TC, Verrier MC. The precarious supply of physical therapists across Canada: exploring national trends in health human resources (1991 to 2005). Hum Resour Health. 2007;5:23.PubMedPubMed CentralView ArticleGoogle Scholar
- Polgreen LA, Mott DA, Doucette WR. An examination of pharmacists’ labor supply and wages. Research in Social & Administrative Pharmacy. 2011;7:406–14.View ArticleGoogle Scholar
- Birch S, Tomblin Murphy G, MacKenzie A, Cumming J. In place of fear: aligning health care planning with system objectives to achieve financial sustainability. Journal of Health Services Research & Policy. 2015;20(2):109–14.View ArticleGoogle Scholar