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Meta-Analysis: Effects of Knowledge and Training on the Readiness of Electronic Medical Record Use in Health Workers Ma'ruf, Agus Syukron; Prasetya, Hanung; Murti, Bhisma
Journal of Health Policy and Management Vol. 9 No. 2 (2024)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

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

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.

Meta-Analysis of Public Trust in the Implementation of the COVID-19 Vaccination Based on the Health Belief Model Amallia, Ade; Ma'ruf, Agus Syukron; Rohmah, Isna Nur
Journal of Health Promotion and Behavior Vol. 6 No. 4 (2021)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Background: Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The magnitude of the global spread of COVID-19, and the declaration by the WHO as a public health emergency pandemic, has created an urgent need for rapid diagnosis, vaccines and therapies for COVID-19. This study aims to determine the relationship between perceptions of COVID-19 and vaccination with the Health Belief Model theory approach, one of which is perceived benefit, with the acceptance of COVID-19 vaccination.Subjects and Method: This study uses a systematic review and meta-analysis with PICO, population: people with an age range of 18-65 years. Intervention: health belief model. Comparison: not health belief model. Outcome: Receiving the COVID-19 Vaccine (Perceived Benefit). The articles used were obtained from several databases, namely Google Scholar, Pubmed, Science Direct, MDPI. The article search keywords were “Health Belief Model” AND “vaccination COVID-19” OR COVID-19 vaccine” AND “COVID-19” The inclusion criteria for research articles were full-text articles using a cross-sectional study design, community research subjects with a range of aged 18-65 years, with the result of the study being receiving the COVID-19 Vaccine (Perceived Benefit) after which a multivariate analysis was carried out with adjusted Odds Ratio (aOR). Data were analyzed using the Review Manager application (RevMan 5.4).Results: A total of 9 cross-sectional studies involving 31,055 vaccine recipient communities spread across Bangladesh, China, South Asia, Hong Kong and Malaysia were selected for a systematic review and meta-analysis. The data collected showed that a person with a high level of confidence in the benefits of the vaccine had a major influence on the acceptance of the COVID-19 vaccine as much as 3.96 times compared to someone with no confidence in the benefits of the COVID-19 vaccine (aOR = 3.97; CI 95 % = 2.62 to 6.02; p < 0.001).Conclusion: People with a high level of confidence in the benefits of the COVID-19 vaccine can increase the impact of receiving the COVID-19 vaccine.Keywords: health belief model, COVID-19 vaccine, vaccine acceptanceCorrespondence:Ade Amallia. Study Program of Prosthetic Orthotic, Health Polytechnics, Ministry of Health Surakarta. Jl. Letjen Sutoyo, Mojosongo, Jebres, Surakarta, Central Java 57127. Email: amalliaadelia@gmail.com. Mobile: 081228466836.Journal of Health Promotion and Behavior (2021), 06(04): 298-306DOI: https://doi.org/10.26911/thejhpb.2021.06.04.04

Meta-Analysis of Public Trust in the Implementation of the COVID-19 Vaccination Based on the Health Belief Model Amallia, Ade; Ma'ruf, Agus Syukron; Rohmah, Isna Nur
Journal of Health Promotion and Behavior Vol. 6 No. 4 (2021)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (32.781 KB)

Background: Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The magnitude of the global spread of COVID-19, and the declaration by the WHO as a public health emergency pandemic, has created an urgent need for rapid diagnosis, vaccines and therapies for COVID-19. This study aims to determine the relationship between perceptions of COVID-19 and vaccination with the Health Belief Model theory approach, one of which is perceived benefit, with the acceptance of COVID-19 vaccination.Subjects and Method: This study uses a systematic review and meta-analysis with PICO, population: people with an age range of 18-65 years. Intervention: health belief model. Comparison: not health belief model. Outcome: Receiving the COVID-19 Vaccine (Perceived Benefit). The articles used were obtained from several databases, namely Google Scholar, Pubmed, Science Direct, MDPI. The article search keywords were “Health Belief Model” AND “vaccination COVID-19” OR COVID-19 vaccine” AND “COVID-19” The inclusion criteria for research articles were full-text articles using a cross-sectional study design, community research subjects with a range of aged 18-65 years, with the result of the study being receiving the COVID-19 Vaccine (Perceived Benefit) after which a multivariate analysis was carried out with adjusted Odds Ratio (aOR). Data were analyzed using the Review Manager application (RevMan 5.4).Results: A total of 9 cross-sectional studies involving 31,055 vaccine recipient communities spread across Bangladesh, China, South Asia, Hong Kong and Malaysia were selected for a systematic review and meta-analysis. The data collected showed that a person with a high level of confidence in the benefits of the vaccine had a major influence on the acceptance of the COVID-19 vaccine as much as 3.96 times compared to someone with no confidence in the benefits of the COVID-19 vaccine (aOR = 3.97; CI 95 % = 2.62 to 6.02; p < 0.001).Conclusion: People with a high level of confidence in the benefits of the COVID-19 vaccine can increase the impact of receiving the COVID-19 vaccine.Keywords: health belief model, COVID-19 vaccine, vaccine acceptanceCorrespondence:Ade Amallia. Study Program of Prosthetic Orthotic, Health Polytechnics, Ministry of Health Surakarta. Jl. Letjen Sutoyo, Mojosongo, Jebres, Surakarta, Central Java 57127. Email: amalliaadelia@gmail.com. Mobile: 081228466836.Journal of Health Promotion and Behavior (2021), 06(04): 298-306DOI: https://doi.org/10.26911/thejhpb.2021.06.04.04

Revitalization of the INA-CBG’S Application Interface at Wava Husada Hospital Aprilia, Sendi Fantri; Afifah, Nur; Annastasia, Shinta; Gading, Rahmaninda Putri; Jamilah, Nuril Khabibatul; Yulianti, Puput Dwi; Dasilva, Elisabet Natali Sonya; Rusdi, Ahmad Jaelani; Ma'ruf, Agus Syukron; Duana, Farma
AMK : Abdi Masyarakat UIKA Vol. 4 No. 4 (2025): DESEMBER
Publisher : Universitas Ibn Khaldun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/amk.v4i4.2902

The completeness of diagnosis is something that medical recorders must pay attention to. The completeness of diagnosis is very important in the fields of clinical data management, cost reimbursement, and health care and services. INA-CBG's (Indonesia Case Groups) is an application used by all hospitals, one of which is Wava Husada Kepanjen Hospital, in submitting claims using a package system based on the illness suffered. The method of implementing this activity involves explaining the necessary updates to the diagnosis coding system, which will be automatically bridged to the INA-CBGs application. The activity was conducted at Wava Husada Hospital, specifically in the CASE MIX unit. The method of implementing this activity was to explain the parts that needed to be updated or corrected, conduct hands-on practice with each user, and hold a question and answer session regarding obstacles in its use. The socialization activity proceeded smoothly, and staff members felt assisted by the changes made to the system, which had been adapted to user needs. However, during implementation, staff members still need to perform double checks to anticipate errors related to the assignment of diagnosis codes. This is because the system lacks prompts to remind staff members about the completeness or accuracy of diagnosis code entry, resulting in frequent errors made by CASE MIX staff members.

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