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All Journal Journal of Epidemiology and Public Health Indonesian Journal of Medicine Journal of Health Policy and Management Journal of Health Promotion and Behavior
Hanung Prasetya
Study Program of Acupuncture, Health Polytechnics, Ministry of Health Surakarta
Medicine & Pharmacology Public Health

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Effects of Training and Supervision on Work Performance among Health Workers in Hospital: Meta-Analysis Antina Luturmas; Eti Poncorini Pamungkasari; Hanung Prasetya
Journal of Health Policy and Management Vol. 9 No. 1 (2024)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.01.05

Abstract

Background: Performance in an organization is carried out by all existing human resources, both leaders and workers. There are several factors that can affect human resources in carrying out their performance, both factors that come from within human resources and those that come from outside themselves. The purpose of this study was to analyze the effect of training and supervision on the performance of health workers in hospitals, using a meta-analysis of primary studies conducted by previous authors. Subjects and Method: This article was prepared using a systematic review and meta-analytic study. This research was conducted using the PICO model. The meta-analytic study was carried out by searching for articles from databases in electronic form using Google scholar, PubMed, Science direct, and Springerlink. An article search was conducted from 1 to 18 February 2023. The keywords used were “Performance” AND “Training” AND “supervision” AND “health workers” AND “Multivariate” AND “Cross-Sectional”. The inclusion criteria for this study were complete articles using cross-sectional research, published years from 2013-2023. Analysis of the articles in this study used RevMan 5.3 software. Results: A total of 10 cross-sectional studies from Africa and Asia were selected for systematic review and meta-analysis. The results of the meta-analysis show that training can improve performance and supervision can improve performance. Health workers who received training had a large influence on improving performance by 1.68 compared to those who did not receive training (aOR= 1.68; 95% CI= 1.37 to 2.05; p= 0.001). Supervised health workers had an influence on improving performance 2.38 times compared to unsupervised health workers (aOR= 2.38; 95% CI= 1.57 to 3.61; p= 0.009). Conclusion: Training can improve performance and supervision can improve health worker performance. Keywords: Performance, training, supervision, health workers Correspondence: Antina Luturmas, Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: antinaluturmas@g­mail.com­­. Mobile: +6282387204089
Meta-Analysis: Effects of Knowledge and Training on the Readiness of Electronic Medical Record Use in Health Workers Agus Syukron Ma'ruf; Hanung Prasetya; Bhisma Murti
Journal of Health Policy and Management Vol. 9 No. 2 (2024)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.02.12

Abstract

Background: Globally, more than half of RME projects face the potential problem that only 35% of lower-middle-income countries and 15% of low-income countries have implemented national electronic health record systems. This study aims to analyze previous primary studies in assessing the influence of electronic medical record training and level of knowledge on health workers' readiness to use electronic medical records. Subjects and Method: This research is a systematic review and meta-analysis using the PRISMA flow diagram and PICO model. Population: health workers. Intervention: RME training and level of knowledge. Comparison: no RME training and poor knowledge level. Outcome: readiness to use RME in health workers. The databases used were Google Scholar, Pubmed, ScienceDirect, Taylor & Francis, Springer Link, Plos One, and BioMed Central, with the keywords (“Willingness” OR “Readiness” OR “Utilization” AND “Electronic Medical Records” OR “EMR” AND “Training” OR “EMR Training” AND “Knowledge” AND 46 “Health Professionals” AND “Cross Sectional” AND “Adjusted Odds Ratio” OR “AOR”). There were 9 cross-sectional studies published in 2015-2023 that met the inclusion criteria. Data analysis using RevMan 5.4. Results: Meta-analysis of 9 articles with a cross-sectional study design obtained from Ethiopia with a sample size of 3,996 health workers. The meta-analysis results show that health workers who received EMR training were 2.62 times more prepared to use electronic medical records compared to health workers who did not receive EMR training, and these results were statistically significant (aOR= 2.62; 95% CI= 2.01 to 3.42; p = 0.001), Health workers who have good knowledge can increase readiness to use electronic medical records by 1.83 times compared to health workers who have poor knowledge, and these results are statistically significant (aOR= 1.83; 95% CI= 1.50 to 2.24; p= 0.001). Conclusion: Health workers who receive RME training and have a good level of knowledge can increase their readiness to use RME. Keywords: RME training, level of knowledge, RME readiness, health personnel Correspondence: Agus Syukron Ma’ruf. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: syukron.agsyma2901@itsk-soepraoen.ac.id. Mobile: +6281333387010.
Is Longer Working Time Associated with Depression and Mental Well-being in Resident and Young Doctors? Ayu Nanda Sari; Hanung Prasetya; Bhisma Murti
Journal of Health Policy and Management Vol. 9 No. 2 (2024)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.02.11

Abstract

Background: Long working hours are known to have a negative impact on health. This study aims to explore the association between long working hours on depression and mental well-being with a nationally representative sample. Subjects and Method: A cross-sectional study was conducted on 176 resident doctors and young doctors in Indonesia via Google Forms from November 2022 to July 2023. Depression and mental well-being were evaluated using the Patient Health Questionnaire-9 (PHQ-9) and the World Health Organization's five-item Well-Being Index (WHO-5). The correlation between working hours (< 12 hours and ≥ 12 hours on weekdays) and depression was analyzed using multiple linear regression, while the interrelation between working hours and mental well-being applied multiple logistic regression. Results: A total of 53 (30.11%) resident doctors and junior doctors worked ≥ 12 hours on weekdays. Multiple linear regression analysis revealed that individuals with work duration ≥ 12 hours had a probability of experiencing depression 1.93 units higher than those who worked < 12 hours (b= 1.93; 95% CI= 0.35 to 3.51; p= 0.017). The multiple logistic regression model shows that individuals with work periods of ≥ 12 hours are 2.69 times more at risk of having poor mental well-being than those who work < 12 hours (OR= 2.69; 95% CI= 1.26 to 5.74; p= 0.010). Conclusion: Working too long is significantly associated with the development of depressive symptoms and poor mental well-being. Management of working hours for resident doctors and young doctors is essential for maintaining physical and psychological health in order to improve the quality of care. Keywords: long working hours, depression, mental well-being
Co-Authors Agus Kristiyanto Agus Kristiyanto Agus Syukron Ma&#039;ruf Antina Luturmas Argyo Demartoto Arista Gunawati Audria Ersananda Ayu Nanda Sari Ayunda Prisilia Kusuma Ningtyas Bhisma Murti Bhisma Murti Bhisma Murti Bhisma Murti Bhisma Murti Burhannudin Ichsan Cendekia Airedeta Mulianda Cynthia Ayu Dian Puspitaningrum Didik Gunawan Tamtomo Didik Tamtomo Didik Tamtomo Elsa Tursina Emirza Nur Wicaksono Ervia Fahma Dhony Eti Poncorini Pamungkasari Fadhila Firmanurulita Fadila Alfiasari Galang Aji Samudera Indah Adhitama Chrisnanda Jihan Nafisah Fauziyyah Lusiana Dewi Saputri Mehdya Vikia Murti Niken Yuliani Untari Revi Gama Hatta Novika Rita Benya Adriani Rosyida, Muslihatin Khuril Septyan Dwi Nugroho Vitri Widiyaningsih Yessy Widhi Astuti Yovita Galuh Eka Ariska