Didik Tamtomo
Faculty of Medicine, Universitas Sebelas Maret

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Meta Analysis: Patient’s Satisfaction with the Outpatient’s Telemedicine Service Farahdilla Aribowo Putri; Didik Tamtomo; Hanung Prasetya
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.2024.09.02.08

Abstract

Background: Telemedicine is a combination of information and communication technology with medical science to provide health services that are not limited to space and can be done remotely (PB IDI, 2020). Patient satisfaction is referred to as the most integral element in the successful implementation of telemedicine (Ploog et al, 2022). This study aims to compare the satisfaction level of outpatients between telemedicine visits and regular face-to-face visits using meta-analysis. Subjects and Method: This study used a systematic review and meta-analysis based on pico as follows, population: outpatient polyclinic, intervention: telemedicine services, comparison: standard care, outcome: patient satisfaction. Data were obtained from the PubMed, Google Scholar, Springerlink, National Center for Biotechnology Information, MEDLINE, Cochrane Library, and Science Direct databases published from 2020 – 2022. The keywords used in the article search were “telemedicine”, “telehealth”, “ virtual care”, “online follow up care”, “telemedicine vs in office” “telemedicine vs conventional”, “patient satisfaction”, “patient experience”, and “randomized clinical trial.” The inclusion criteria were in the form of a full paper article using a randomized clinical trial design, the subjects were outpatients, new patients and follow-up patients, had a control group that assessed standard services, the study outcomes used the mean SD. Article selection used the PRISMA flowchart and the results were analyzed using Review Manager 5.3 software. Results: A meta-analysis of 10 articles from Hong Kong, Turkey, Germany, Austria, the Netherlands, Ireland and the United States with a sample size of 1412 outpatient polyclinics showed that outpatient polypatients who received telemedicine services had an average satisfaction level of 0.38 points. higher than standard service (SMD= 0.38; 95% CI= -0.01 to 0.77; p= 0.060). The meta-analysis of this study showed significant heterogeneity of effect estimates between studies (I² = 69%; p<0.001), so the analysis used was the Random Effect Model (REM). Conclusion: Patients who received telemedicine services experienced an average satisfaction level of 0.38 higher than patients who received standard services (SMD= 0.38; 95% CI= -0.01 to 0.77; p= 0.060). Keywords: Telemedicine, Patient satisfaction, Meta-analysis Correspondence: Farahdilla Aribowo Putri. Masters Program in Public Health, Sekolah Pascasarjana, Universitas Sebelas Maret. Jl Ir Sutami No. 36A Jebres Surakarta. Email: farahdilla.a.putri@gmail.com. Handphone: +6281333287647.
Multilevel Analysis of Nurse’s Performance Predictors at Dr. Moewardi Hospital, Surakarta Adriana Mardiah; Didik Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 10 No. 1 (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.2025.10.01.03

Abstract

Background: Nurse Performance plays a role as a determinant of patient satisfaction when providing nursing care. Nursing services in hospitals are one of the determining factors for good or bad service, quality and image of a hospital. Factors that influence nurse performance are gender, working time arrangements, education, work experience and job satisfaction. The aim of this study was to analyze the performance of inpatient and outpatient ward nurses at Dr. Moewardi Hospital. Subject and Method: This research uses an observational analytic design with a cross-sectional approach. This research is intended to find the relationship between the independent variables, namely gender, working time arrangements, education, work experience and job satisfaction, with the dependent variable, namely the performance of nurses in the inpatient and outpatient wards at Dr. Moewardi. This research was conducted in October-November 2023. A sample of 200 posyandu cadres was selected using random sampling. Data collection was carried out using questionnaires/interviews and data was analyzed using a multiple linear regression analysis model with a multilevel approach. Results: Gender has an influence and is significant between gender and nurse performance (b = -1.79; 95% CI = -3.13 to -0.45; p = 0.009). Working time arrangements have an influence on nurse performance, and this influence is statistically significant (b = 1.96: 95% CI = 0.39 to 3.54; p = 0.014). Job satisfaction has a positive and significant influence on nurse performance (b = 0.32 CI 95% = 0.10 to 0.4). The results of education and work experience did not show a statistically significant difference in nursing performance between nurses with DIII education and the nursing profession (b = 0.32; 95% CI = -0.86 to 1.51) and work experience of more than 12 years and less than 12 years (b = 0.71; 95% CI = -0.75 to 2.17). The results of this multilevel analysis also found that there was a contextual influence of the ward on nurse performance (ICC= 15.09%). Conclusion: Nurse performance is directly influenced by gender, working time arrangements and job satisfaction. Variations at level 2 wards have a contextual influence on nurse performance.