Correction to: System dynamics modelling of health workforce planning to address future challenges of Thailand’s Universal Health Coverage

Leerapan, Borwornsom; Teekasap, Pard; Urwannachotima, Nipaporn; Jaichuen, Wararat; Chiangchaisakulthai, Kwanpracha; Udomaksorn, Khunjira; Meeyai, Aronrag; Noree, Thinakorn; Sawaengdee, Krisada

doi:10.1186/s12960-021-00589-w

Cited by 3 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the population and its changes (28)(29)(30)(31)(32), dividing disease into categories (31), demographic (33) and epidemiologic changes (34)(35)(36), insurance status (14,37,38), economic condition (28,(39)(40)(41), health literacy (37,42), general health (42), and service accessibility (37) are in line with the results of other studies or recommended by them. Using full-time equivalent factor, number (31) and average time (31,43) of visits, or number of services (30,32,43) are in line with the results of other studies, and the present study used them to calculate the number of referrals and conversion coefficient of referrals to the full-time equivalent of physicians.…”

Section: Discussionsupporting

confidence: 67%

Modeling Health Workforce Planning in Specialties and Subspecialties: A Need-Adjusted Demand Model

et al. 2022

View full text Add to dashboard Cite

Background: Need and demand modeling is one of the conceptual approaches of health workforce planning. In many models of this field, “need” is not considered. Each country should model according to its context. Objectives: The present study aimed to design a need adjusted with demand model of the health workforce in the fields of specialties and subspecialties. Methods: Walker and Avant’s synthesis theory method was used for modeling in this study. The concepts of need and demand were chosen as the focal concepts. In addition, to find the components related to the concepts and the relationships between these components, the result of a previous systematic review and a supplementary study of viewpoints of research teams were used. In the last step, the graphic form of the model was presented. Results: The need-adjusted demand model was presented in this study. In this model, the types of flows were headcounts. Actual need, willingness, and ability to use health services were considered. Finally, the number of full-time equivalents of physicians was estimated. Conclusions: In this model, a series of main components that are headcounts and a series of influential factors that affect the main factors through rates were considered.

show abstract

Section: Discussionsupporting

confidence: 67%

Modeling Health Workforce Planning in Specialties and Subspecialties: A Need-Adjusted Demand Model

et al. 2022

View full text Add to dashboard Cite

show abstract

“…There are many supply models worldwide ( 1 , 42 - 56 ). In the current model, an attempt has been made to include the components of those models, encompassing graduates ( 48 , 50 , 52 , 53 , 56 ), people with activity licenses ( 1 , 48 , 56 ), announced capacities, and the number of program entries ( 1 , 49 , 51 , 53 ), and factors related to academic dropout ( 43 , 51 ).…”

Section: Discussionmentioning

confidence: 99%

Health Workforce Planning: Designing a Specialty and Subspecialty Supply Model for Iran

Yazdani,

Koohpayehzadeh,

Bosak

et al. 2024

MJIRI

View full text Add to dashboard Cite

Background One of the approaches to health workforce planning is supply-based. It has been emphasized that countries should model health workforce based on evidence and their context. The objective of this study is to "design a supply health workforce planning model for specialty and subspecialty in Iran." Methods This is a study using Walker and Avant’s (2018) theory synthesis framework to construct the model. This method has three steps. According to the viewpoint of the research team and the needs of the country, the focal concept is determined. Then, a literature review was done to determine related factors and their relationships. In the third step, according to the review, the viewpoint of the research team, the rationale of the connection between components, and the graphic model were presented. Results "Supply" was selected as the focal concept. In the literature review, 42 components were obtained from the systematic review, 43 components obtained from the study of other texts were combined with the opinion of the research team about the field of Iran, and the connections between them were determined. In the third step, the supply model was designed using the Stock and Flow method. Finally, by applying the "functional full-time coefficient", the number of full-time equivalent physicians was calculated. Conclusion The presented model is an evidence-based model that follows stock and flow design. Stock is the number of specialties or subspecialties that exist in the labor market. Flow includes inflow and outflow according to the educational pathway in the context of Iran.

show abstract

Assessing Thai Hospitals’ Evacuation Preparedness Using the Flexible Surge Capacity Concept and Its Collaborative Tool

Phattharapornjaroen

Carlström

Holmqvist

et al. 2023

Int J Disaster Risk Sci

View full text Add to dashboard Cite

According to the concept of “flexible surge capacity,” hospitals may need to be evacuated on two occasions: (1) when they are exposed to danger, such as in war; and (2) when they are contaminated, such as during the Covid-19 pandemic. In the former, the entire hospital must be evacuated, while in the latter, the hospital becomes a pandemic center necessitating the transfer of its non-contaminated staff, patients, and routine activities to other facilities. Such occasions involve several degrees of evacuation—partial or total—yet all require deliberate surge planning and collaboration with diverse authorities. This study aimed to investigate the extent of hospital evacuation preparedness in Thailand, using the main elements of the flexible surge capacity concept. A mixed method cross-sectional study was conducted using a hospital evacuation questionnaire from a previously published multinational hospital evacuation study. The tool contained questions regarding evacuation preparedness encompassing surge capacity and collaborative elements and an open-ended inquiry to grasp potential perspectives. All 143 secondary care, tertiary care, and university hospitals received the questionnaire; 43 hospitals provided responses. The findings indicate glitches in evacuation protocols, particularly triage systems, the inadequacies of surge planning and multiagency collaboration, and knowledge limitations in community capabilities. In conclusion, the applications of the essential components of flexible surge capacity allow the assessment of hospital preparedness and facilitate the evaluation of guidelines and instructions through scenario-based training exercises.

show abstract

Correction to: System dynamics modelling of health workforce planning to address future challenges of Thailand’s Universal Health Coverage

Abstract: An amendment to this paper has been published and can be accessed via the original article.

Cited by 3 publications

References 2 publications

Modeling Health Workforce Planning in Specialties and Subspecialties: A Need-Adjusted Demand Model

Modeling Health Workforce Planning in Specialties and Subspecialties: A Need-Adjusted Demand Model

Health Workforce Planning: Designing a Specialty and Subspecialty Supply Model for Iran

Assessing Thai Hospitals’ Evacuation Preparedness Using the Flexible Surge Capacity Concept and Its Collaborative Tool

Contact Info

Product

Resources

About