Bagoes Widjanarko
Faculty of Public Health, Diponegoro University, Semarang, Indonesia

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Integrated Situational Analysis of Chronic Energy Deficiency to Inform A Community-Based Mentoring Model in Indonesia Moch Taufik Hidayatullah; Sri Achadi Nugraheni; Bagoes Widjanarko; Apoina Kartini
Jurnal Kesehatan Masyarakat Vol. 21 No. 4 (2026)
Publisher : Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v21i4.48410

Abstract

Maternal malnutrition in Central Lombok remains a challenge. This study aimed to identify multilevel determinants of chronic energy deficiency among pregnant women through an integrated situational analysis using a mixed-methods approach to inform a community-based mentoring model in Indonesia. A sequential exploratory mixedmethods design was conducted in 2025 at the district health office and five community health centers. The qualitative phase used purposive sampling of stakeholders and cadres, while the quantitative phase included 206 pregnant women with mid-upper arm circumference (MUAC) <23.5 cm selected through cluster random sampling. The dependent variable was MUAC status, with independent variables including maternal characteristics, dietary intake, food taboos, antenatal care (ANC), iron–folate supplementation, mentoring exposure, knowledge, and attitudes. Data were analyzed using contingency coefficients and multiple logistic regression. Food taboos were reported by 43.2% and were significantly associated with MUAC (p=0.023). Energy and protein inadequacy were 91.3% and 84.0%, respectively. ANC attendance (94.7%) and iron–folate use (91.3%) were high. High-risk maternal age increased the odds of lower  MUAC (OR=2.364; 95% CI:1.208–4.629), while higher education decreased the odds (OR=0.528; 95% CI:0.279–0.998). Mentoring exposure (OR=2.636; 95% CI:1.238–5.612) and parity (OR=1.610; 95% CI:1.122–2.310) were also significant. These findings inform community-based mentoring models focusing on dietary behavior and social context. 
Comparing Online Registration Systems for Waiting Time and Patient Satisfaction in an Oncology Outpatient Clinic Ninung Rose Diana Kusumawati; Bagoes Widjanarko; Sutopo Patria Jati
Contagion: Scientific Periodical Journal of Public Health and Coastal Health Vol 8, No 3 (2026): Contagion
Publisher : Universitas Islam Negeri Sumatera Utara, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/contagion.v8i3.29709

Abstract

Prolonged waiting times are particularly burdensome in oncology clinics, where patients require repeated and complex visits. The previous web-based registration system at Dr. Kariadi General Hospital did not provide real-time queue information and was reported to experience stability and loading issues. In contrast, the new application-based model incorporated real-time queue monitoring, automated notifications, and clearer scheduling information. This study aimed to compare outpatient waiting time sand patient satisfaction between the old and new online registration models in an oncology outpatient clinic. This cross-sectional observational study with a comparative design included 317 oncology outpatients recruited between October to December 2025, during  a period when both registration models were operational. Participants were classified according to the registration model used (old model, n = 187; new model, n = 130). Waiting time was defined at the interval between the Hospital Management Information System (HMIS)-recorded check-in time and the start of the physician consultation. Patient satisfaction was assessed across the five SERVPERF dimensions. Unadjusted between-group comparisons were performed using the Mann-Whitney U test. Semi-structured interviews were conducted solely to provide supplementary illustrative observations and were not included as a formal qualitative component.  The Mean waiting time was 83.10 minutes with the new model and 95.83 minutes with the old model group (mean difference, -12.73 minutes; p = 0.037). Mean overall satisfaction scores were 58.67 and 55.33, respectively (mean difference, +3.34; p = 0.003). Scores for tangibles, reliability, responsiveness, and assurance dimensions were significantly higher among users of the new registration model, whereas empathy scores did not differ significantly between groups (p = 0.071). In this unadjusted cross-sectional comparison, use of the new registration model was associated with modestly shorter waiting times and higher patient satisfaction, although overall waiting times remained prolonged. These findings support the integration of real-time digital features into hospital registration systems while highlighting the need for longitudinal studies to confirm their effectiveness and for strategies to ensure equitable access among patients with  limited digital literacy. Keywords: Oncology, online registration, outpatient services, patient satisfaction, SERVPERF, waiting time