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BackgroundIn Thailand, the inequitable distribution of doctors between rural and urban areas has a major impact on access to care for those living in rural communities. The rural medical education programme ‘Collaborative Project to Increase Rural Doctors (CPIRD)’ was implemented in 1994 with the aim of attracting and retaining rural doctors. This study examined the impact of CPIRD in relation to doctor retention in rural areas and public health service.MethodsBaseline data consisting of age, sex and date of entry to the Ministry of Health (MoH) service was collected from 7,157 doctors graduating between 2000 and 2007. There were 1,093 graduates from the CPIRD track and 6,064 that graduated through normal channels. Follow-up data, consisting of workplace, number of years spent in rural districts and years within the MoH service, were retrieved from June 2000 to July 2011. The Kaplan-Meier method of survival analysis and Cox proportional hazards ratios were used to interpret the data.ResultsFemale subjects slightly outnumbered their male counterparts. Almost half of the normal track (48%) and 33% of the CPIRD doctors eventually left the MoH. The retention rate at rural hospitals was 29% for the CPIRD doctors compared to 18% for those from the normal track. Survival curves indicated a dramatic drop rate after 3 years in service for both groups, but normal track individuals decreased at a faster rate. Multivariate Cox proportional hazards modelling revealed that the normal track doctors had a significantly higher risk of leaving rural areas at about 1.3 times the CPIRD doctors. The predicted median survival time in rural hospitals was 4.2 years for the CPIRD group and 3.4 years for the normal track. The normal track doctors had a significantly higher risk of leaving public service at about 1.5 times the CPIRD doctors.ConclusionsThe project evaluation results showed a positive impact in that CPIRD doctors were more likely to stay longer in rural areas and in public service than their counterparts. However, turnover has been increasing in recent years for both groups. There is a need for the MoH to review and improve upon the project implementation.

Summarybackground Nurses run primary health centres in Thailand. We examined whether clinical guidelines improved the quality of the care they provide.methods Eighteen nurse-led health centres randomized to (a) guidelines, receiving a training workshop plus educational outreach visit, with guidelines for children (acute respiratory tract infection and diarrhoea) and adults (diazepam prescribing and diabetes management) or (b) usual care. Outcomes were changes at 6 months in antibiotic use, diazepam prescribing, drug costs per patient, and a composite process index for diabetes care.results Baseline prescribing was high for antibiotics (37% of all attendees), and no difference between intervention and control sites was detected at follow-up for this variable. In children (0-5 years old), antibiotics were widely used for acute respiratory tract infection (34%), and fell with guidelines (intervention: 42% at baseline to 27% at follow-up; control: 27-30%, P ¼ 0.022), with an associated fall in drug costs per patient. Antibiotics were widely prescribed for diarrhoea in children (91%), but no change was detected with guidelines. In adults, diazepam prescribing at baseline was high (17%), and fell in the guidelines group (intervention: 17-10%; control 21-18%; P ¼ 0.029). Diabetes care was generally good, and changed little with guidelines.

This study investigates heterogeneity in Thai doctors' job preferences at the beginning of their career, with a view to inform the design of effective policies to retain them in rural areas. A discrete choice experiment was designed and administered to 198 young doctors. We analysed the data using several specifications of a random parameter model to account for various sources of preference heterogeneity. By modelling preference heterogeneity, we showed how sensitivity to different incentives varied in different sections of the population. In particular, doctors from rural backgrounds were more sensitive than others to a 45% salary increase and having a post near their home province, but they were less sensitive to a reduction in the number of on-call nights. On the basis of the model results, the effects of two types of interventions were simulated: introducing various incentives and modifying the population structure. The results of the simulations provide multiple elements for consideration for policy-makers interested in designing effective interventions. They also underline the interest of modelling preference heterogeneity carefully.

BackgroundFor an effective health system, human resources for health (HRH) planning should be aligned with health system needs. To provide evidence-based information to support HRH plan and policy, we should develop strategies to quantify health workforce requirements and supply. The aim of this study is to project HRH requirements for the Thai health service system in 2026. HRH included in this study were doctors, dentists, nurses, pharmacists, medical technicians (MTs), physiotherapists (PTs), and Thai traditional medicine (TTM) practitioners.Methods and resultsThe study mainly relied on the secondary data in relation to service utilization and population projection together with expert opinions. Health demand method was employed to forecast the HRH requirements based on the forecasted service utilizations. The results were then converted into HRH requirements using the staffing norm and productivity. The HRH supply projection was based on the stock and flow approach in which current stock and the flow in and out were taken into account in the projection. The results showed that in 2026, nurses are likely to be in critical shortages. The supply of doctors, pharmacists, and PTs is likely to be surplus. The HRH requirements are likely to match with the supply in cases of dentists, MTs, and TTM practitioners.ConclusionIn 2026, the supply of key professionals is likely to be sufficient except nurses who will be in critical shortages. The health demand method, although facing some limitations, is useful to project HRH requirements in such a situation that people are accessible to health services and future service utilizations are closely linked to current utilization rates.