Open Access

Projecting Thailand physician supplies between 2012 and 2030: application of cohort approaches

  • Rapeepong Suphanchaimat1Email author,
  • Thunthita Wisaijohn1,
  • Noppakun Thammathacharee2 and
  • Viroj Tangcharoensathien1
Human Resources for Health201311:3

DOI: 10.1186/1478-4491-11-3

Received: 27 March 2012

Accepted: 23 October 2012

Published: 1 February 2013

Abstract

Background

This study forecasts physician supply between 2012 and 2030 using cohort analysis, based on future production capacity and losses from the profession, and assesses if, and by when, the projected numbers of physicians would meet the targets of one doctor per 1,500 population, as proposed by the 7th National Conference on Medical Education in 2001, and one per 1,800, proposed by the Ministry of Public Health (MoPH) in 2004.

Methods

We estimated the annual loss rate that best reflected the dynamics of existing practising doctors, then applied this rate to the existing physicians, plus the newly licensed physicians flowing into the pool over the next two decades (from 2012 to 2030). Finally, the remaining practising physicians, after adjustment for losses, were verified against demand projections in order to identify supply gaps.

Results

Thailand has been experiencing an expansion in the total number of physicians, with an annual loss rate of 1%. Considering future plans for admission of medical students, the number of licensed physicians flowing into the pool should reach 2,592 per annum, and 2,661 per annum, by 2019 and 2030 respectively. By applying the 1% loss rate to the existing, and future newly licensed, physicians, there are forecast to be around 40,000 physicians in active clinical service by 2016, and in excess of 60,000 by 2028.

Conclusion

This supply forecast, given various assumptions, would meet the targets outlined above, of one doctor per 1,800 population, and one per 1,500 population, by 2016 and 2020 respectively. However, rapid changes in the contextual environment, e.g. economic demand, physician demographics, and disease burden, may mean that the annual loss rate of 1% used in this projection is not accurate in the future. To ensure population health needs are met, parallel policies on physician production encompassing both qualitative and quantitative aspects should be in place. Improved, up-to-date information and establishment of a physician cohort study are recommended.

Keywords

Cohort analysis Annual loss rate Physician projection Physician to population ratio

Background

The health workforce is one of six key health system components but is often neglected in developing countries [1] when determining success in achieving national health goals, in particular the Millennium Development Goals (MDGs) [24]. A well-functioning health system requires an adequate number of capable, motivated and well-supported health workers; policy makers often ask how many physicians they should produce in order to meet future health needs [5]; accurate predictions of demand for health workers facilitate better production plans.

In the early 1970s, the World Health Organization (WHO) suggested an optimal density of one physician per 5,000 population for developing countries: this ratio was not useful for physician production planning because a country’s level of socio-economic development and the nature of their health-care delivery systems determine the demand for health workers [6]. For instance, in 1992, despite the fact that Thailand had one physician per 4,500 population, well above this benchmark, there were shortages in some areas and maldistribution as a consequence of rapid economic growth that increased demand for doctors in the private health sector in the period from 1992 to 1997 [79].

Efforts to forecast demand for, and supply of, health workers, especially physicians, have been ongoing in Thailand since the 1970s [7, 10, 11]. The summary in Table 1 shows that most studies focused on demand-side projection using service targets or ratios of health workforce per population, with fewer studies applying supply projection.
Table 1

Studies of demand for and supply of physicians in Thailand from 1972 to 2004

Year

Organizations

Methodology

Key results and recommendations

Before 1972

National Economic and Social Development Board

Physician to population ratio

Need more physicians to meet the target of one doctor to 5,000 population

1979

Coordinating Committee for Medical and Health Affairs

Service targeted approach

Thailand needs 200 more doctors per annum to meet the demand for rural health development project.

1986

The Thai Medical Council

Service targeted approach

Predict a shortage of 4,286 physicians by 2000

1986

National Economic and Social Development Board

Trend projection

Adequate supply by the year 2000

1992

Health Planning Division, the Ministry of Public Health (MoPH)

Physician to population ratio

Increase production in response to increased demand due to economic growth, need 340 more doctors per annum

1994

Bureau of Health Policy and Planning, the MoPH

Combination of physician to population ratio, service targeted and health demand approach

Increase production to fill in the expanded rural health services. A Collaborative Project to Increase Production of Rural Doctors was decided by the Cabinet to produce 300 more doctors per year

1995-1996

Bureau of Health Policy and Planning, Praboromrachanok Institute for Human Resource Development, the MoPH and Health Systems Research Institute

Combination of physician to population ratio and service targeted and health demand approach

Adequate supply by 2015

1996

Thailand Development Research Institute

Health demand approach

Adequate supply by 2020

1996

Bureau of Policy and Strategy, the MoPH

Cohort analysis, annual loss rate method and modified physician to population ratio

The supply of physicians by the year 2020 will be 44,028 (using high-loss scenario) to 47,519 (using low-loss scenario)

2001

The 7th National Conference on Medical Education

Health demand approach and physician to population ratio

Increase production to reach an optimal ratio of one physician to 1,500 population by 2021

2004

Bureau of Policy and Strategy, the MoPH

Physician to population ratio

Increase production to reach an optimal ratio of one physician to 1,800 population; 6,000 additional more physicians should be produced in 2006

Sources: Tida Suwannakij (1996); Thaksaphol Thammarangsri (2005).

Among the few studies that did examine supply projection, Suwannakij et al., in 1996 [7], applied cohort analysis and the annual loss rate method. A number of assumptions of physician annual loss rate were applied: <2.5% in an expanding state, >2.5% in a shrinking state and 2.5% for equilibrium state [12]. The 2.5% figure was estimated from the assumption that a physician’s loss from clinical practice would be 100% after 40 years of working, thus the annual loss rate would be 100/40 = 2.5%. The projection appears to have been fairly accurate in projecting the actual number of physicians in the first few years following the study, however, no subsequent studies applied this method and verified whether the forecast of supply matched the demand for physicians as proposed by numerous organizations, as is presented in Table 1 above [13, 14].

To fill the gap, this study forecasts physician supply between 2012 and 2030 based on future production capacity and losses from the profession, and assesses whether, and if so when, the projected supplies will meet the respective goals of one doctor per 1,500 population as proposed by the 7th National Conference on Medical Education in 2001, and one per 1,800 population as proposed by the Ministry of Public Health (MoPH) in 2004.

Material and method

Among the three types of projection tools available (cohort, observed change and two life-table methods) [15], this study applies the cohort method. Health workforce loss rate is commonly applied in supply projection, especially in cohort and life-table approaches.

The following approaches were utilised: we estimated the value of an annual loss rate that best reflected the dynamics of existing practising doctors and this loss rate was applied to all existing physicians in the pool, as well as newly licensed physicians flowing into the pool over the next two decades (from 2012 to 2030). Finally, the supply projection of practising physicians adjusted for losses was verified against the demand projection using one per 1,500, and 1,800 population, in order to identify supply gaps See Figure 1.
https://static-content.springer.com/image/art%3A10.1186%2F1478-4491-11-3/MediaObjects/12960_2012_Article_322_Fig1_HTML.jpg
Figure 1

Framework of the dynamics of physician supply.

In making these projections, we required (a) accurate numbers of the existing pool of practising doctors (stock), (b) the annual number of licensed physicians entering into the pool, both domestic and foreign graduates (flow), minus (c) losses from the profession through death, retirement and leaving clinical practice to take up alternative roles e.g. administration, or research, or leaving the profession entirely. Projections of the supply of practising physicians are reliable when these data are available and accurate [15].

This study applied the assumptions presented in Suwannakij [7] but with new data. Age-specific loss rates was solicited from the opinions of three experts, these were two senior officers within the MoPH and the director of the Health Systems Research Institute [7]. At the time of writing they posited that, in an expanding state, the annual loss rate among 25- to 59-year-olds would be 0.15% to 0.6% (averaging 0.45%) with this annual loss rate, at the end of 35 working years (assuming entry to the workforce at 24 years old), one year before the mandatory retirement age of 60 years old, there would be 81–95% of physicians still pursuing a medical career. At the retirement age of 60 years old, the experts forecasted an annual loss rate of 40%, while during the first 4 years after reaching 60 years old the annual loss rate would decrease to 10%. This would then rebound to 30% annual loss for the remainder of the working period after 64 years old. This meant that only 44% of physicians between 61 and 70 years old would still be engaged in clinical practice, and very few would remain in clinical services after 70 years old.

Flow of future licensed physicians

The number of domestic and foreign graduates gaining a licence to practise was retrieved from the Thai Medical Council. There are 18 public medical schools, and one private medical school, in Thailand. All domestic medical graduates have to pass the comprehensive examination, held by their respective schools, and must also pass the National Licensing Examination, held by the Thai Medical Council, in order to be licensed to practise in Thailand.

Likewise, all foreign medical graduates are required to hold a diploma from a medical school recognized by the Thai Medical Council and must hold a licence to practise in that country [16] prior to applying to sit the National Licensing Examination held by the Council. On passing that exam they can then gain a licence to practice in Thailand.

Graduates who pass the licensing examination

The numbers of local graduates gaining licences was estimated from the rate of graduates who passed the National Licensing Examination multiplied with the number of planned future admissions at all 19 medical schools. Currently, there are no explicit plans from the MoPH or, known private institutes, to open new medical schools in the near future. The number of medical schools used in this study is thus 19.

The historical numbers of medical student admissions were retrieved from the Human Resources for Health Research and Development Office (HRDO), at the MoPH, while the numbers of newly licensed doctors were retrieved from the Thai Medical Council. For newly established medical schools where students have not yet graduated, the average graduation and licensing rate of all other medical schools were applied. The data on the future admission plans of each medical school were retrieved from the HRDO.

This study assumes no significant changes in the number of licensed foreign graduates in the next two decades. The average number of licensed doctors, graduating from overseas, is applied at the same rate for the future as was seen in the past two decades.

Stock of existing physicians and annual loss rate

Stock data on existing licensed doctors between 1937 and 2010 was retrieved from the Thai Medical Council. This dataset counts the registration number, which is unique to each physician, ensuring no double counting. However, this dataset counts all registered physicians regardless of whether they are in active professional service or not, and physicians who have died are not de-registered. We devised methods to clean this dataset with the aim of estimating the number of physicians in active clinical practice.

The Medical Council conducted two surveys of physicians in 2010 and 2011. The surveys reported 37,396 and 39,269 physicians, subdivided by age profile, who were able to be contacted by mail, but unfortunately no information on their current professional practice: see Table 2. We modified this information, the only source that is available, by assuming that all contactable physicians aged 20 to 60 years old, and 44% of physicians 60 to 70 years old, were active in professional life either in clinical service, research, teaching or administration. However, all physicians more than 70 years old were considered inactive. We then calculated the proportion of active physicians to total registered numbers as 83% in 2010 and 2011.
Table 2

The number of physicians categorized by age group and proportion of active physicians to total registered physicians between 2010 and 2011

Number of physicians

2010

2011

a) Age 20-30

9,865

10,234

b) Age 31-40

10,553

11,292

c) Age 41-50

7,386

7,620

d) Age 51-60

4,959

5,202

e) Age 61-70

2,347

2,543

f) Age more than 70

2,178

2,280

g) Unknown age

108

98

Total contactable physicians

37,396

39,269

Estimated total active physiciansa

33,937

35,620

Total registered physicians at the Council

41,015

42,890

Proportion of active physicians to total registered physicians

83%

83%

aTotal active physicians = a + b + c + d + (e x 44/100).

Source: The Thai Medical Council (2011).

The calculated figure of 83% was used to reduce the total number of registered physicians, in the years 2000 to 2011, to leave the number of active professionals. Further, a study by Thammarangsri in 2005 showed around 8% of total active physicians did not engage in clinical practice [10]; this figure was applied to scale down the number of active physicians to only those who were actively engaging in clinical services, see the final column of Table 3.
Table 3

Total registered physicians, estimated active and clinical practising physicians between 2000 and 2011

Year

Total registered numbers

Total active physicians (83% of registered number)

Total physicians in clinical practice (92% total active physiciansa)

2000

26,226

21,768

19,972

2001

27,498

22,823

20,940

2002

28,824

23,924

21,950

2003

30,300

25,149

23,074

2004

31,730

26,336

24,163

2005

33,280

27,622

25,344

2006

34,820

28,901

26,516

2007

36,392

30,205

27,713

2008

37,841

31,408

28,817

2009

39,204

32,539

29,855

2010

41,015

34,042

31,234

2011

42,890

35,599

32,662

a Adjusted from Thaksaphol Thammarangsri (2005).

Fine-tuning the annual loss rate

In the last decade, an increasing loss of physicians from the profession has been observed [10, 17, 18]; the assumed annual loss rate of 0.45% appears to be too low and should, therefore, be re-estimated. The annual loss rate required adjustment to achieve the best fit with the number of active physicians as produced in the final column of Table 3. By gradually increasing the annual loss rate, starting from 0.45%, we found that a 1% annual loss rate best fitted the number of active physicians in the final column of Table 3.

In Figure 2 when a 0.45% annual loss rate was applied, there was a 7% overestimate of the total number of active physicians. However, when a 1% annual loss rate was applied, it closely matched the estimated number of active physicians, see Figure 2. Therefore, we decided to apply a 1% annual loss rate in the projection between 2012 and 2030.
https://static-content.springer.com/image/art%3A10.1186%2F1478-4491-11-3/MediaObjects/12960_2012_Article_322_Fig2_HTML.jpg
Figure 2

Comparing estimated active physicians with the results from a 0.45% and a 1% annual loss rate.

Results

Flow of future licensed physicians

Figure 3 clearly demonstrates the dominant contribution of domestic public medical schools. In 2010, there were approximately 1,800 graduates gaining licences in public schools: double the number in 1996. This was a result of a rapid expansion in the number of public medical schools, from 13 to 18 over the past 15 years. Also, the one existing private medical school tripled their production capacity, from 30 graduates per year in 1999, to 93 graduates in 2010. Licensed physicians from foreign institutions played a negligible role, averaging 15 per annum. There was a dip in the number of licensed doctors from 2007 to 2009 as a result of a reduction in admissions in the 2002 and 2003 student cohorts in response to budget reductions; this rebounded from 2004 onwards as a Cabinet Resolution endorsed the increased production of doctors [19], see Figure 3.
https://static-content.springer.com/image/art%3A10.1186%2F1478-4491-11-3/MediaObjects/12960_2012_Article_322_Fig3_HTML.jpg
Figure 3

Medical graduates gaining licences from public and private domestic and foreign medical schools between 1996 and 2010.

Table 4 provides the pass rates of medical graduates taking the national licensing examination in 19 schools: ranging from 90.6% in PMK to 99.4% in VJ. The rate from individual schools was applied to Table 5 to estimate the total number of medical graduates gaining licences between 2012 and 2030. With this future admission plan, the flow of future licensed physicians into the pool would exceed 2,500 per year from 2017 onwards See Table 5.
Table 4

Rates of graduates who passed the National Licensing Examination for each medical school in Thailand

Medical school

Years of admission

Total admissions

Total graduates who passed the National Licensing Exam

Years of graduation

Rates of graduates who passed the National Licensing Exam

Vajira (VJ)

2001-2004

161

160

2007-2010

99.4

Khon Kaen (KK)

2001-2004

599

589

2007-2010

98.3

Chiang Mai (CMU)

2001-2004

664

655

2007-2010

98.6

Thammasat (TU)

2001-2004

348

330

2007-2010

94.8

Princess of Naradhiwas (PNU)

2007-2011

88

-

2013-2017

-

Naresuan (NSU)

2003-2004

292

279

2009-2010

95.5

Burapha (BU)

2007-2010

144

-

2013-2016

-

Chulalongkorn (CU)

2001-2004

869

846

2007-2010

97.4

Phayao (PU)

2011

15

-

2017

-

Phramongkutklao (PMK)

2001-2004

192

174

2007-2010

90.6

Mahasarakham (MSU)

2007-2010

249

-

2013-2016

-

Ramathibodi (RA)

2000-2004

505

494

2006-2010

97.8

Walailak (WA)

2008-2010

143

-

2014-2016

-

Srinakharinwirot (SWU)

2000-2003

390

376

2006-2009

96.4

Siriraj (SI)

2000-2003

798

791

2006-2009

99.1

Prince of Songkla (PSU)

2001-2003

583

553

2007-2009

94.9

Suranaree University of Technology (SUT)

2006-2010

240

-

2012-2016

-

Ubonratchathani (UBU)

2006-2010

134

-

2012-2016

-

Rangsit (RSU)a

2000-2004

456

445

2006-2010

97.6

Total

5,857

5,692

 

97.2

a Faculty of Medicine, Rangsit University, is the only private medical school in Thailand.

Source: Human Resources for Health Research and Development Office (HRDO), MoPH (2011).

Table 5

Future admission plans and projected annual graduates by 19 domestic medical schools and annual foreign graduates

Medical school

Graduation percentage

Graduates per year

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

2027

2028

2029

2030

VJ

99.4%

Admissions

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

Graduates gaining licence

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

80

KK

98.3%

Admissions

247

285

281

275

283

288

288

288

288

288

288

288

288

288

288

288

288

288

288

Graduates gaining licence

243

280

276

270

278

283

283

283

283

283

283

283

283

283

283

283

283

283

283

CMU

98.6%

Admissions

188

188

232

251

249

250

250

250

250

250

250

250

250

250

250

250

250

250

250

Graduates gaining licence

185

185

229

248

246

247

247

247

247

247

247

247

247

247

247

247

247

247

247

TU

94.8%

Admissions

134

131

156

161

187

177

177

177

177

177

177

177

177

177

177

177

177

177

177

Graduates gaining licence

127

124

148

153

177

168

168

168

168

168

168

168

168

168

168

168

168

168

168

PNU

97.2%

Admissions

0

0

16

24

24

24

24

24

24

36

36

36

36

48

48

48

48

48

48

Graduates gaining licence

0

0

16

23

23

23

23

23

23

35

35

35

35

47

47

47

47

47

47

NSU

95.5%

Admissions

168

128

151

136

172

169

165

165

165

180

180

180

180

180

180

180

180

180

180

Graduates gaining licence

161

122

144

130

164

161

158

158

158

172

172

172

172

172

172

172

172

172

172

BU

97.2%

Admissions

0

0

32

32

32

48

48

48

48

48

48

48

48

48

48

48

48

48

48

Graduates gaining licence

0

0

31

31

31

47

47

47

47

47

47

47

47

47

47

47

47

47

47

CU

97.4%

Admissions

248

278

273

291

302

313

313

313

313

313

313

313

313

313

313

313

313

313

313

Graduates gaining licence

241

271

266

283

294

305

305

305

305

305

305

305

305

305

305

305

305

305

305

PU

97.2%

Admissions

0

0

0

0

0

0

15

30

30

30

30

30

30

30

30

30

30

30

30

Graduates gaining licence

0

0

0

0

0

0

15

29

29

29

29

29

29

29

29

29

29

29

29

PMK

90.6%

Admissions

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

100

Graduates gaining licence

91

91

91

91

91

91

91

91

91

91

91

91

91

91

91

91

91

91

91

MSU

97.2%

Admissions

0

48

48

48

48

50

50

50

50

50

50

50

50

50

50

50

50

50

50

Graduates gaining licence

0

47

47

47

47

49

49

49

49

49

49

49

49

49

49

49

49

49

49

RA

97.8%

Admissions

128

131

158

160

161

180

180

180

180

180

180

180

180

180

180

180

180

180

180

Graduates gaining licence

125

128

155

157

157

176

176

176

176

176

176

176

176

176

176

176

176

176

176

WU

97.2%

Admissions

0

0

0

48

47

48

48

48

48

48

48

48

48

60

60

60

60

60

60

Graduates gaining licence

0

0

0

47

46

47

47

47

47

47

47

47

47

58

58

58

58

58

58

SWU

96.4%

Admissions

120

120

120

120

120

150

165

180

180

180

180

180

180

180

180

180

180

180

180

Graduates gaining licence

116

116

116

116

116

145

159

174

174

174

174

174

174

174

174

174

174

174

174

SI

99.1%

Admissions

242

232

233

247

291

292

292

292

292

292

292

292

292

292

292

292

292

292

292

Graduates gaining licence

240

230

231

245

288

289

289

289

289

289

289

289

289

289

289

289

289

289

289

PSU

94.9%

Admissions

175

185

188

183

195

200

200

200

200

200

200

200

200

200

200

200

200

200

200

Graduates gaining licence

166

175

178

174

185

190

190

190

190

190

190

190

190

190

190

190

190

190

190

SUT

97.2%

Admissions

0

48

48

48

49

48

60

60

60

80

80

80

80

80

80

80

80

80

80

Graduates gaining licence

0

47

47

47

48

47

58

58

58

78

78

78

78

78

78

78

78

78

78

UBU

97.2%

Admissions

0

50

16

16

16

50

50

50

50

50

50

50

50

50

50

50

50

50

50

Graduates gaining licence

0

49

16

16

16

49

49

49

49

49

49

49

49

49

49

49

49

49

49

RSU

97.6%

Admissions

100

108

113

137

129

120

120

120

120

120

120

120

120

120

120

120

120

120

120

Graduates gaining licence

98

105

110

134

126

117

117

117

117

117

117

117

117

117

117

117

117

117

117

Total number of graduates gaining licences

1872

2050

2179

2288

2412

2511

2548

2577

2577

2623

2623

2623

2623

2646

2646

2646

2646

2646

2646

Average number of foreign-trained graduates gaining licences

15

15

15

15

15

15

15

15

15

15

15

15

15

15

15

15

15

15

15

Total number of graduates gaining licences

1887

2065

2194

2303

2427

2526

2563

2592

2592

2638

2638

2638

2638

2661

2661

2661

2661

2661

2661

Source: The Medical Council of Thailand (2011); Human Resources for Health Research and Development Office (HRDO), MoPH (2011).

Cohort analysis applying the 1% annual loss rate

Additional file 1: Table S1 provides the full cohort analysis table with the application of the 1% annual loss rate for the existing pool and the new licensed doctors flowing into the pool; See Additional file 1: Table S1. The future supply of physicians, active in clinical practice, would be around 40,000 by 2016 and would exceed 50,000 and 60,000 by 2022 and 2028 respectively.

Table 6 compares the future supply of physicians from the cohort analysis with the estimated population in the corresponding period [20]. With these figures, the doctor density would reach the goals of one doctor per 1,800 population and one per 1,500 population by 2016 and 2020 respectively See Table 6.
Table 6

Projecting physician supply and future population between 2012 and 2030

Year

Estimated population (thousands)a

Estimated physician supply

Physician to population ratio

2012

68,251

33,471

1: 2,039

2013

68,610

34,944

1: 1,963

2014

68,980

36,515

1: 1,889

2015

69,222

38,168

1: 1,814

2016

69,455

39,909

1: 1,740

2017

69,679

41,718

1: 1,670

2018

69,893

43,540

1: 1,605

2019

70,100

45,349

1: 1,546

2020

70,217

47,081

1: 1,491

2021

70,330

48,762

1: 1,442

2022

70,440

50,505

1: 1,395

2023

70,547

52,197

1: 1,352

2024

70,651

53,864

1: 1,312

2025

72,065

55,505

1: 1,298

2026

72,400

57,101

1: 1,268

2027

72,734

58,666

1: 1,240

2028

73,069

60,204

1: 1,214

2029

73,403

61,717

1: 1,189

2030

73,738

63,212

1: 1,167

a The rows highlighted indicate years when the national goals of physician to population ratio of 1:1,800 and 1:1,500 will be achieved.

Source: National Economic and Social Development Board (2003).

Discussion

This study is an extensive attempt at applying the cohort approach in projecting future supply of physicians in Thailand with a 1% annual loss rate. This assumes that the physician population is in an expanding state despite the increase in the annual loss rate in comparison to that found in the previous study by Suwannakij et al. in 1996. Given that the assumptions are valid, especially the 1% annual loss rate, the fine-tuning of the Medical Council dataset on the stock of physicians, the future production capacities of medical schools, and the rate of graduates gaining licences, the projected supplies will be able to match the national goals of one doctor per 1,500 population as proposed by the 7th National Conference on Medical Education by 2020, and one per 1,800 proposed by the MoPH by 2016.

A key factor that has kept the supply of physicians in an expanding state has been the rapid increase in physician production over the past two decades. This has been the result of a set of policies aimed at expanding physician supply, e.g. establishing a number of new public medical schools, recruiting a greater number of students into medical schools, in particular those in remote areas, through various modes of admission. The Collaborative Project to Increase Rural Doctors (CPIRD), launched by the MoPH in 1994, is a good example of these policies. It has enrolled around 300 students per annum from rural backgrounds, with a mandate that these students need to serve their hometown upon graduation [21]. The project also plans to increase its production levels to produce 3,807 graduates between 2009 and 2019.

In carrying out this study, several limitations were addressed with a rigorous evidence-based methodology. However, several remaining limitations were identified as follows:

The assumption that the cohort age-specific loss rate will remain unchanged in the future may not hold true [15], because other elements of the contextual environment may change rapidly, such as, labour market dynamics. Since the recovery from the economic crisis in early 2000, the private sector’s demand for physicians has grown significantly and may cause a brain drain of physicians from the public sector [21]. In the context of the upcoming 2015 inauguration of the ASEAN Economic Community [22], the relaxation of medical council requirements on licensing may increase the number of foreign graduates practising in Thailand; meanwhile, licensing relaxation in recipient countries may stimulate outward migration of Thai physicians to practise abroad. Increased job opportunities in other economic sectors may also stimulate losses from professional practice.

A significant change in the demographics of physicians, specifically the great increase in female students enrolling in medical schools, may affect physicians’ career patterns and as such the loss rate will need further examination. The evidence from a survey of new medical graduates in 2011, by the International Health Policy Program, revealed that only 40% of new graduates were male [23]. This is in contrast to the current gender ratio of overall physicians in Thailand in which around two-thirds of physicians are male [24].

The cleaning of the Thai Medical Council’s dataset on the stock of physicians relied on the 2010 and 2011 surveys, which concluded that 83% of total registered physicians were active in clinical practice; the surveys may have had numerous limitations, such as the representativeness of respondents to the overall physician population, and neither took into account the potential for a return to practice after a career break. This inevitably has an effect on the accuracy of this data.

Focusing on the national average obscures the issue of the sub-national distribution of physicians, for which parallel policies should be in place to address imbalances. This study quantifies the future supply of physicians; however, quality, in terms of clinical competency, communication skills, human interaction, social skills and attitudes and capacity to conduct ‘interprofessional teamwork’, is an equally important factor determining productivity and outcomes. This study indicates that, if the given assumptions hold, current production capacity is adequate to meet the national goals of physician density of 1:1,800 by 2016 and 1:1,500 by 2020, but policy makers should not be complacent as a result of these findings. This supply of physicians, if achieved, does not fully ensure that there will be adequate physicians to respond to the health needs of the population. Maldistribution is still a major policy concern; in 2005, physician density was around 1:800 in Bangkok, almost nine times as high as the density in the Northeast where it was 1:7,000. Almost one quarter of the total number of physicians was employed in the private sector [25] and this trend is increasing [17].

It should be noted that the results of this study will yield greater benefits if integrated into the production and employment planning of other health professions e.g. nurses, dentists, pharmacists, and also medical specialities. Elaborating on the findings of the study, by taking into account the production planning of other professions in concordance with the population’s health needs, may be useful for policy implementation in an effective manner.

Evidence-based health workforce policy and planning requires more accurate data on both stock and flow of physicians. While there has previously been ad hoc physician cohort data collection undertaken, there is a need for regular, routine and integrated collection of physician data by cohort, as part of a strengthening of the whole human resources for health information system. This would improve on the routine registration dataset collected by the Medical Council, ensure greater provision of information to the public, and reflect professional employment dynamics, in particular, losses from the profession and from clinical practice. Ad hoc surveys usually suffer from poor response rates and the non-representativeness of respondents. A 20-year Thai nurse cohort study [26], launched in 2010, provides useful information on the life dynamics of Thai nurses, it monitors the loss rate and assesses the duration of the nursing career – one of the vital parameters in health workforce planning. Lessons from the nurse cohort study would be useful for establishing a physician cohort study in Thailand.

Conclusion

Despite data limitations, given various assumptions and data cleaning of stock, with the application of the cohort approach and a 1% loss rate for both stock and flow, while assuming future production by all medical schools adheres to the plan, this paper thoroughly estimates the future supply of physicians in Thailand. It clearly shows that the desired physician density of 1:1,800 and 1:1,500 can be achieved by 2016 and 2020 respectively.

Given these assumptions, the current production capacity in Thailand can meet the goals of physician density by 2020. However, this may not fully ensure an adequate supply of physicians to respond to the health needs of the population, nor equitable distribution across provinces, unless other parallel policies are in place. Further studies on physician dynamics based on improved, up-to-date and accurate health workforce information, and the establishment of a doctor cohort study are recommended.

Declarations

Acknowledgements

We are grateful to the kind advice from Dr Suwit Wibulpolprasert and Dr Weerasak Putthasri. We also thank Dr Thinakorn Noree, Dr Nonglak Pagaiya, Dr Thaksapol Thammarangsri, Thai Medical Council staff, Ms Kanang Kantamaturapoj and Mr Tanavij Pannoi, and the Asia Pacific Action Alliance on Human Resources for Health (AAAH) secretariat for sharing data for the analysis. The assistance from Mr Alex Dalliston in language correction is highly appreciated.

Authors’ Affiliations

(1)
International Health Policy Program, Ministry of Public Health
(2)
Health Insurance Systems Research Office, Ministry of Public Health

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Copyright

© Suphanchaimat et al.; licensee BioMed Central Ltd. 2013

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