Background: In-service training is critical for achieving organizational goals and developing the health workforce. Therefore, this study aimed to identify contextual factors that significantly impact the implementation of in-service training policies for the health workers.
Methods: This study employed an inductive qualitative approach, utilizing semi-structured interviews as the data collection method. The target group consisted of human resources managers and experts. Purposeful sampling was conducted using the snowball method. A total of 23 interviews were conducted, and data saturation was achieved. Framework analysis was performed using MAXQDA10 software to analyze the data. To enhance the credibility of the findings, interview transcripts, and the initially extracted codes were shared with participants for verification. Additionally, various methods were employed to ensure the accuracy and reliability of the data, including seeking input and additional comments from two colleagues and one expert familiar with qualitative research, as well as sending the interview transcripts and extracted codes to each participant for correction during the data collection phase.
Results: The analysis of the data identified seven themes and 16 subthemes related to the implementation of in-service training for healthcare workers. These themes include social factors, personal characteristics, economic and political factors, crises and epidemics, organizational factors, and legal factors. Social factors, such as social crises and demographic characteristics, can affect the type of training provided. Personal characteristics, including motivation, age, job position, and gender, can influence the implementation of training. Political and economic factors, such as government policies and budget constraints, also play a role. Crises and epidemics present opportunities for relevant training. Organizational factors, such as top management commitment and organizational culture, determine the success of training. Legal factors, including restrictive laws and incentives, impact the implementation of training.
Conclusions: The implementation of policies cannot be considered in isolation from contextual factors. Therefore, decision-makers and policymakers should thoroughly identify and analyze the relevant contextual factors when formulating and implementing policies. This approach will enable them to make informed decisions based on the specific context.
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http://dx.doi.org/10.1186/s12909-024-06336-8 | DOI Listing |
Cell Rep
January 2025
Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, South Korea; Neuroscience Research Institute, Medical Research Center, Seoul National University, Seoul 03080, South Korea; Transplantation Research Institute, Medical Research Center, Seoul National University, Seoul 03080, South Korea. Electronic address:
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December 2024
Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany.
Introduction: It has long been known that highly arousing emotional single items are better recollected than low arousing neutral items. Despite the robustness of this memory advantage, emotional arousing events may not always promote the retrieval of source details (i.e.
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December 2024
Africa University, Mutare, Manicaland, Zimbabwe.
Objective: Implementing evidence-based innovations often fails to translate into meaningful outcomes in practice due to dynamic real-world contextual factors. Identifying these influencing factors is pivotal to implementation success. This study aimed to determine the barriers and facilitators of implementing a community health worker (CHW)-delivered home management of hypertension (HoMHyper) intervention from a stakeholder's perspective using the Consolidated Framework for Implementation Research (CFIR).
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December 2024
EPH, LSHTM, London, UK.
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Design: Scoping review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for scoping reviews.
BMJ Open
December 2024
Health Innovation Unit, SGH Warsaw School of Economics, Warsaw, Poland.
Introduction: Integrating digital health technologies to improve the overall performance of healthcare systems counts among the top priorities of the WHO. As evidenced in recent research, there are specific factors that may decisively determine the effective implementation and development of innovative digital health solutions. This review attempts to recognise and map the existing body of research and evidence to identify the determinants that either favour or hinder the deployment and use of digital health technologies by patients and physicians in primary care.
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