Section | Item no. | Guidance for reporting |
---|---|---|
Title | ||
 Title | 1 | Identify the study as health workforce planning and specify the health professionals being estimated |
Abstract | ||
 Abstract | 2 | Provide a structured summary that highlights context, key methods, results, and alternative analyses |
Introduction | ||
 Background and objectives | 3 | Give the context for the study, the study aims and objectives, and its practical relevance for decision-making in policy or practice |
Methods | ||
 Study population | 4 | Describe characteristics of the study population |
 Geographical area | 5 | Describe the geographical area of the study Report the level of geographical area that the HWP models is applied to |
 Health condition | 6 | Describe whether the study focuses on a specific health condition |
 Health professionals | 7 | Describe which health professional is the focus of the study |
 Time horizon | 8 | Describe the time horizon of the project and forecasting model |
 Scope of activities | 9 | Specify whether the study exclusively focus on healthcare or if it also includes age care, disability care, and community care |
 Overall analytical framework | 10 | Discuss the analytical framework used in the study |
 Study parameters | 11 | Describe specific parameters and variables used in the model, and explain how they were estimated |
 Models and statistical approaches for demand-side analysis | 12 | Explain how demand for health workforce was estimated |
 Models and statistical approaches for supply-side analysis | 13 | Explain how the supply of health workforce was estimated |
 Methods and statistical approaches for gap analysis | 14 | Describe the methodology for calculating the gap between supply and demand, and how sufficiency of health professionals is presented |
 Methods and statistical approaches for budgetary analysis | 15 | Explain the methodology for the financial and budgetary assessment |
 Characterizing uncertainty | 16 | Discuss how uncertainty was quantified and addressed. Explain how estimates for parameters were determined |
 Assumptions of the model | 17 | List and justify key assumptions made in the projection and forecasting model |
 Methods for validation of the model | 18 | Explain how the model's accuracy and reliability were validated. Describe how parameters in scenario analysis were derived |
 Data source | 19 | Provide a comprehensive list of all data sources used, with details on quality and relevance |
Results | ||
 Summary of projection results | 20 | Provide supply and demand projections for each healthcare profession |
 Projection for different geographical areas (if applicable) | 21 | Include projections for various regions or healthcare facilities if applicable |
 Identify supply–demand gap in health professionals | 22 | Present a clear assessment of workforce shortages or surpluses over time |
 Identify geographical distribution (if applicable) | 23 | Present a clear assessment of the geographical distributional analysis to determine relatively underserved and overserved population |
 Effects of policies and scenarios (if applicable) | 24 | Discuss the health workforce requirement impact of different policy scenarios on workforce planning. Possibly the financial and budgetary impact |
 Effects of uncertainty and sensitivity analysis (if applicable) | 25 | Analyse the effects of uncertainty and sensitivity on projection outcomes |
 Model validation (if applicable) | 26 | Highlight the validity and robustness of the model and its sensitivity to changes in assumptions |
Discussion | ||
 Key findings, limitation, | 27 | Discuss implications of findings for health workforce projection and potential challenges or constraints |
 Consideration of policies related to planning, education, training, recruitment, and retention | 28 | Offer policy recommendations to address workforce gaps and improve healthcare delivery |
Other relevant information | ||
 Source of funding | 29 | Disclose all sources of funding for the study |
 Conflict of interests | 30 | Provide information about any potential conflicts of interest among the study’s authors or contributors |