Cargando…

Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method

BACKGROUND: For 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 s...

Descripción completa

Detalles Bibliográficos
Autores principales: Pagaiya, Nonglak, Phanthunane, Pudtan, Bamrung, Adun, Noree, Thinakorn, Kongweerakul, Karnwarin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325808/
https://www.ncbi.nlm.nih.gov/pubmed/30621716
http://dx.doi.org/10.1186/s12960-018-0336-2
_version_ 1783386193533075456
author Pagaiya, Nonglak
Phanthunane, Pudtan
Bamrung, Adun
Noree, Thinakorn
Kongweerakul, Karnwarin
author_facet Pagaiya, Nonglak
Phanthunane, Pudtan
Bamrung, Adun
Noree, Thinakorn
Kongweerakul, Karnwarin
author_sort Pagaiya, Nonglak
collection PubMed
description BACKGROUND: For 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 RESULTS: The 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. CONCLUSION: In 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.
format Online
Article
Text
id pubmed-6325808
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63258082019-01-11 Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method Pagaiya, Nonglak Phanthunane, Pudtan Bamrung, Adun Noree, Thinakorn Kongweerakul, Karnwarin Hum Resour Health Research BACKGROUND: For 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 RESULTS: The 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. CONCLUSION: In 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. BioMed Central 2019-01-08 /pmc/articles/PMC6325808/ /pubmed/30621716 http://dx.doi.org/10.1186/s12960-018-0336-2 Text en © The Author(s). 2019 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.
spellingShingle Research
Pagaiya, Nonglak
Phanthunane, Pudtan
Bamrung, Adun
Noree, Thinakorn
Kongweerakul, Karnwarin
Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method
title Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method
title_full Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method
title_fullStr Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method
title_full_unstemmed Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method
title_short Forecasting imbalances of human resources for health in the Thailand health service system: application of a health demand method
title_sort forecasting imbalances of human resources for health in the thailand health service system: application of a health demand method
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325808/
https://www.ncbi.nlm.nih.gov/pubmed/30621716
http://dx.doi.org/10.1186/s12960-018-0336-2
work_keys_str_mv AT pagaiyanonglak forecastingimbalancesofhumanresourcesforhealthinthethailandhealthservicesystemapplicationofahealthdemandmethod
AT phanthunanepudtan forecastingimbalancesofhumanresourcesforhealthinthethailandhealthservicesystemapplicationofahealthdemandmethod
AT bamrungadun forecastingimbalancesofhumanresourcesforhealthinthethailandhealthservicesystemapplicationofahealthdemandmethod
AT noreethinakorn forecastingimbalancesofhumanresourcesforhealthinthethailandhealthservicesystemapplicationofahealthdemandmethod
AT kongweerakulkarnwarin forecastingimbalancesofhumanresourcesforhealthinthethailandhealthservicesystemapplicationofahealthdemandmethod