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All Journal Journal of Epidemiology and Public Health Journal of Health Policy and Management
Virdaria Andriani
Master’s Program in Public Health, Universitas Sebelas Maret
Medicine & Pharmacology Public Health

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Effects of Social Network, Social Trust, and Social Participation on Depression: A Meta-Analysis Alifia Nadhimah Putri; Shafa Latifah; Virdaria Andriani; Bhisma Murti; Siti Mar’atul Munawaroh
Journal of Epidemiology and Public Health Vol. 9 No. 4 (2024)
Publisher : Masters Program in Public Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2024.09.04.12

Abstract

Background: An estimated 3.8% of the population is depressed, including 5% of adults (4% in men and 6% in women), and 5.7% of adults over the age of 60. Around 280 million people in the world are depressed (World Health Organization, 2023). Depression not only impairs functional abilities, lowers the quality of life, and increases the mortality rate of the elderly, but also poses a heavy economic burden on the elderly themselves, the community, and the health care system. This study aims to determine the effects of social network, social trust, and social participation on depression.Subjects and Method: The meta-analysis study was carried out according to the PRISMA flowchart and the PICO model. Population: adults. Intervention: high social network, high social trust, and high social participation. Comparison: low social network, low social trust, and low social participation. Outcome: Depression. The basic data used involves Google Scholar, PubMed, BMC, Science-Direct, and Springer Link. Multivariate analysis criteria that attach aOR values. Data analysis using the Review Manager 5.3 application.Results: Seven primary studies were used to analyze trust with depression. Adults with high trust may lower depression 0.80 times compared with low trust (OR= 0.80; 95% CI = 0.76 to 0.83); p<0.001). Five primary studies were used to analyze social participants with depression. Adults with high social participation may reduce depression by 0.81 times compared to low social participants (OR= 0.81; 95% CI= 0.75 to 0.88; p<0.001). Four primary studies were used to analyze social networks with depression. Adults with high social networks may reduce depression by 0.62 times compared with low social networks (OR= 0.62; 95% CI= 0.57 to 0.68; p<0.001).Conclusion: Social networks, social trust, and social participation reduce depression in adults.
Associations between Reliability, Assurance, Physical Evidence, Responsiveness, Empathy, Gender, and Income with Inpatient Satisfaction in Yos Sudarso Hospital, Padang, Indonesia Virdaria Andriani; Didik Gunawan Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 10 No. 2 (2025)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2025.10.02.05.a

Abstract

Background: Patient satisfaction refers to the patient's perception and assessment of the quality of health services he receives. There are many factors that affect patient satisfaction. This study aims to analyze variables that affect patient satisfaction. Subjects and Method: This study is an observational analytical study with a cross-sectional design. This research was conducted on Yos Sudarso Hospital, Padang City, in March-May 2024. A sample of 200 patients was selected by simple random sampling. The dependent variable in this study is patient satisfaction. The independent variables in the study were  reliability, guarantee, physical evidence, responsiveness, empathy, gender, and income. Data collection was carried out using a questionnaire and analyzed by path analysis. Results: Patient satisfaction in the health center was influenced by reliability ((b= 0.51; 95% CI= 0.39 to 0.62; p<0.001)), assurance (b= 0.62; 95% CI= 0.52 to 0.72; p<0.001), physical evidence (b= 0.52; 95% CI= 0.41 to 0.64; p<0.001), responsiveness (b= 0.69; 95% CI= 0.60 to 0.78; p<0.001), empathy (b= 0.69; 95% CI= 0.60 to 0.78; p<0.001),  gender (b = 0.15; 95% CI = <0.01 to 0.30; p = 0.047), and income (b = -0.31; 95% CI = -0.45 to -0.17; p<0.001). Conclusion: Patient satisfaction is positively influenced by reliability, assurance, physical evidence, responsiveness, empathy, gender, and income.
Co-Authors Alifia Nadhimah Putri Bhisma Murti Didik Gunawan Tamtomo Shafa Latifah Siti Mar’atul Munawaroh