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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

Interactive ICD-10-Based Morbidity Dashboard Using BPJS Central Data: A Case Study of Karanganyar Regency Widiyanto, Wahyu Wijaya; Amallia, Ade; Wariyanti, Astri Sri
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.44415

The increasing complexity of disease trends in the post-pandemic era necessitates more accessible and data-driven decision-making tools, particularly in primary healthcare services. This study aims to develop an interactive morbidity dashboard based on ICD-10 classifications using secondary data from BPJS Kesehatan. The research focuses on outpatient visit records in Karanganyar Regency from 2020 to 2024. A descriptive quantitative approach was applied, accompanied by system development using Python. Data preprocessing involved standardizing ICD-10 codes, handling missing values, and grouping by year, gender, and age category. The resulting dashboard allows users to filter morbidity trends based on demographic variables and disease categories. The ten most prevalent disease groups include respiratory, digestive, endocrine, and circulatory disorders. This dashboard facilitates data-based decision-making and enables targeted promotive and preventive interventions in primary healthcare facilities.

Evaluation of the Nutrition Installation Information System at RS Melati Tangerang Using the CIPP Model: Evaluasi Sistem Informasi Instalasi Gizi RS Melati Tangerang Menggunakan Model CIPP Nafi’a, Zidni Ilma; Amallia, Ade
RADIANT: Journal of Applied, Social, and Education Studies Vol. 6 No. 1 (2025): RADIANT: Journal of Applied, Social, and Education Studies
Publisher : Politeknik Harapan Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52187/rdt.v6i1.299

The implementation of the nutrition installation information system at RS Melati Tangerang still encounters several obstacles. This research aims to evaluate the nutritional installation information system at RS Melati Tangerang using the CIPP model. This type of research is a qualitative method with a case study approach. Evaluation using the CIPP model (Context, Input, Process and Product). The 5 informants included the Head of the Nutrition Installation (1 person), the Nutritionist (1 person), the Cook (1 person), and the Waiter (2 people). Data collection techniques through interviews and observation. The data that has been collected is then analyzed through stages: data reduction, data presentation and drawing conclusions. The research results show that the problems with the nutrition installation information system at RS Melati Tangerang include: programmer limitations, not all features in the system can be used, there are parts between units that are not yet integrated in the system and do not facilitate the overall service and weak monitoring. The information system for the nutrition installation at RS Melati Tangerang received a positive response, however problems were found that had an impact on service integration. It is necessary to fulfill resource needs, build an integrated system and strengthen monitoring and evaluation.

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

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