ArticleHuman resources for health2019
Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method.
Article in Human resources for health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- The Lack of Impact of Primary Care Units on Screening Services in Thailand and the Transition to Local Administrative Organization Policy.Healthcare (Basel, Switzerland) · 2025Article
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- Cocreation in Health Workforce Planning to Shape the Future of the Health Care System in the Philippines.Global health, science and practice · 2022Article
- Regional Differences in Admissions and Treatment Outcomes for Hepatocellular Carcinoma Patients in Thailand.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- The impact of human resources for health on the health outcomes of Chinese people.BMC health services research · 2022Article
- Improving allocative efficiency from network consolidation: a solution for the health workforce shortage.Human resources for health · 2022Article
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- A Human Resource Demand Forecasting Method Based on Improved BP Algorithm.Computational intelligence and neuroscience · 2022Article
- Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network.Computational intelligence and neuroscience · 2022Article
- Assessing a national policy on strengthening chronic care in primary care settings of a middle-income country using patients' perspectives.BMC health services research · 2021Article
- Patient triage system for supporting the operation of dispatch centres and rescue teams.BMC medical informatics and decision making · 2021Article
- From village health volunteers to paid care givers: the optimal mix for a multidisciplinary home health care workforce in rural Thailand.Human resources for health · 2021Article
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- Study on the Experience of Public Health System Construction in China's COVID-19 Prevention.Frontiers in public healthArticle
- Development of pharmacy competency framework for the changing demands of Thailand's pharmaceutical and health services.Pharmacy practiceArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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