Rika Handayani
Bachelor of Public Health, Faculty of Public Health, Universitas Muhammadiyah Kalimantan Timur, Indonesia

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Birth Companionship as a Non-Pharmacological Strategy to Reduce Maternal Anxiety and Enhance Perceived Support and Safety During Childbirth Nila Trisna Yulianti; Rika Handayani; Rahmat Haji Saeni; Fajar Akbar
Media Kesehatan Politeknik Kesehatan Makassar Vol 20 No 2 (2025): Media Kesehatan
Publisher : Direktorat Politeknik Kesehatan Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/medkes.v20i2.1759

Abstract

Birth companionship is globally recognized as an effective non-pharmacological approach to improving maternal psychological well-being during labor, yet evidence from Indonesian urban settings remains limited. This study evaluated mothers’ perceptions of birth companions and examined changes in anxiety levels before and after an intervention consisting of antenatal education and continuous companionship during labor. A quasi-experimental one-group pretest–posttest design was conducted involving 30 primigravida mothers in Balikpapan, Indonesia. Data were collected using closed-ended nominal questionnaires and analyzed with the McNemar test. Significant improvements were observed in several maternal perception indicators, including feeling calmer (p = 0.000), emotionally supported (p = 0.004), physically assisted (p = 0.016), helped in communicating with health workers (p = 0.008), and safe and comfortable during labor (p = 0.031). Maternal anxiety levels also decreased significantly across key indicators, including fear of childbirth (p = 0.016), negative thoughts (p = 0.016), restlessness while waiting for labor (p = 0.001), and feelings of helplessness (p = 0.016). These findings indicate that antenatal education combined with continuous birth companionship is effective in enhancing perceived support and safety while reducing pre-delivery anxiety. However, because this study used a one-group pretest–posttest design without a comparison group, the generalizability and causal interpretation of the findings remain limited. Further research employing controlled or randomized designs is recommended to strengthen causal inference and expand applicability.
Biometric-Based Frista Application And Outpatient Satisfaction At Darkuthni Primary Clinic Adriansyah Adriansyah; Saparuddin Latu; Fais Satrianegara; Rika Handayani; Rahmat Haji Saeni
Jurnal Kesehatan Manarang Vol 12 No 2 (2026): August 2026
Publisher : Politeknik Kesehatan Kemenkes Mamuju

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33490/jkm.v12i2.2328

Abstract

Outpatient care requires accurate, timely, convenient, and secure patient identification. However, problems related to patient identification, administrative efficiency, and data security may affect patients’ experiences and satisfaction. FRISTA is a biometric authentication system designed to support automated patient identification. Nevertheless, the association between FRISTA use and outpatient satisfaction in primary healthcare settings in Indonesia remains insufficiently evaluated. This study aimed to examine the association between the use of the FRISTA application and outpatient satisfaction at Darkuthni Primary Clinic, Tojo Una-Una Regency, Central Sulawesi, Indonesia. A quantitative approach with a cross-sectional design was employed, involving 150 outpatients selected using stratified random sampling from the Obstetrics and Gynecology, Internal Medicine, and Neurology Clinics. Data were analyzed using the Chi-square test and multivariate binary logistic regression, with results expressed as odds ratios (OR) and 95% confidence intervals (CI). The Chi-square test showed that ease of service access, service speed, patient identification accuracy, and personal data security were significantly associated with patient satisfaction (p < 0.05). Multivariate binary logistic regression showed that patient identification accuracy (OR = 2.226; 95% CI: 1.019–4.861; p = 0.045) and personal data security (OR = 1.748; 95% CI: 1.028–2.972; p = 0.039) remained significantly associated with patient satisfaction, whereas ease of service access and service speed were not independently associated with patient satisfaction. The multivariate binary logistic regression model yielded a Nagelkerke R² of 0.897. The use of the FRISTA biometric application was significantly associated with outpatient satisfaction. Therefore, improving patient identification accuracy and strengthening personal data security should be prioritized in implementing biometric-based digital health systems in primary healthcare settings to enhance patient satisfaction.