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Purnawan Junadi
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INDONESIA
Journal of Indonesian Health Policy and Administration
Published by Universitas Indonesia
ISSN : 24601330     EISSN : 24773832     DOI : https://doi.org/10.7454/ihpa
Core Subject : Health, Science,
Decision Sciences, Operations Research & Management Health Professions Medicine & Pharmacology Public Health
Journal of Indonesian Health Policy and Administration is a journal that presents scientific articles mainly in the field of health policy, programs, and administration. This journal is intended to disseminate research from students, lecturers, or researchers in general who are concerned about improving health efforts through program evaluation and preparing policy recommendations. The articles or manuscripts contained in the Journal of Indonesian Health Policy and Administration include the realm of research, case studies, or conceptual, and limited to literature review. It is an online open-access, blindly peer-reviewed journal that is published every 4 (four) months or 3 (three) times a year, usually in January, May, and September. This journal is published by the Department of Health Administration and Policy, Faculty of Public Health, University Indonesia . Journal of Indonesian Health Policy and Administration is also supported by the Indonesian Public Health Association / Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI).
Arjuna Subject : Profesi Kesehatan - Profesi Kesehatan (Lain-Lain)
Articles 3 Documents
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Search results for , issue "vol. 11, no. 2" : 3 Documents clear
Accessibility and Daily Cigarette Consumption among Indonesian Adolescents: A Descriptive Study Lathifah, Noviana; Rachman, Istiqomah Hanifah; Isnaini, Anisa; Simatupang, Gloria Threesia Piliphinsa
Journal of Indonesian Health Policy and Administration Vol. 11, No. 2
Publisher : UI Scholars Hub

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Abstract

Despite restrictive regulations, Indonesia faces a high prevalence of adolescent smoking, facilitated by easy access to tobacco products. This descriptive study aims to describe cigarette accessibility patterns and daily consumption trends among Indonesian adolescents. A cross-sectional study was conducted using secondary data from the 2019 Global Youth Tobacco Survey (GYTS) involving 9,208 respondents. Descriptive analysis was performed to examine the distribution of age at smoking initiation, daily cigarette consumption, and purchasing accessibility. The majority of respondents started smoking at ≥14 years of age. Daily cigarette consumption showed an increasing trend with age, with older adolescents more likely to consume more than five cigarettes per day. Regarding accessibility, 10.78% of adolescents reported purchasing single cigarettes, and 12.27% were not refused purchase by vendors despite being underage. Overall trends indicate that greater ease of access is associated with increasing age and smoking intensity. Access to cigarettes remains largely unimpeded for Indonesian adolescents, contributing to higher consumption patterns as they age. Strict enforcement of regulations prohibiting cigarette sales to minors is therefore imperative.
Referral Patterns from Primary Care to Referral Care by ICD-10 Codes in Indonesia: Cross-Sectional Analysis of National Claims Data (2017–2024) Ayu, Della Dwi; Hasibuan, Syarif Rahman; Pradnyani, Putu Erma; Widyasanti, Nisrina
Journal of Indonesian Health Policy and Administration Vol. 11, No. 2
Publisher : UI Scholars Hub

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Abstract

Primary health care (PHC) facilities serve as gatekeepers within Indonesia’s tiered health system. However, PHC referral patterns to hospitals still show substantial variation and remain insufficiently characterized by disease groupings based on the International Classification of Diseases, 10th Revision (ICD-10). This study aimed to identify the most frequently referred diagnoses from PHC to secondary or tertiary care facilities and to determine the participant characteristics associated with referrals. This observational study employed a cross-sectional design using secondary data from the National Health Insurance (Jaminan Kesehatan Nasional – JKN) claims database for the period 2017–2024. The unit of analysis was each patient visit to a PHC facility. The outcome variable was referral status (referred vs. not referred), with ICD-10 diagnostic codes as the main independent variable, while age and sex were covariates. Descriptive and inferential analyses, including binary logistic regression, were conducted to identify factors associated with referral likelihood. Of 1.2 billion visit episodes, 14% resulted in referrals to higher-level facilities. The most frequent diagnoses were classified under ICD-10 Code J (respiratory system diseases, 21.5%), yet referrals were most common among cases under Code C (neoplasms). Referrals were also more frequent among older adults and male patients.
Deadline-Chasing in Digital Health: Forecasting EMR Adoption Dynamics and Regulatory Impact in Indonesian Primary Care Satrio, Suryo; Aqid, Bukhori Muhammad
Journal of Indonesian Health Policy and Administration Vol. 11, No. 2
Publisher : UI Scholars Hub

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Abstract

Indonesia is accelerating digital health adoption under Minister of Health Regulation No. 24/2022, which mandates the use and integration of Electronic Medical Records (EMRs) with SATUSEHAT. However, evidence on how quickly primary health care facilities (Fasilitas Kesehatan Tingkat Pertama – FKTP) are adopting EMRs and what the adoption curve looks like remains limited. Survey findings also suggest key barriers and enablers, including security and data migration concerns, as well as human resource and infrastructure constraints. This observational study used provider-network data from a single EMR vendor. Key measures included cumulative registered facilities, monthly registrations, same-month activation (total_active/monthly inflow) as a proxy for onboarding readiness, and the estimated national pool of eligible FKTPs. The study applied descriptive analysis, logistic growth modeling, and Autoregressive Integrated Moving Average (ARIMA) forecasting for short-term projections. Over 39 months, cumulative registrations increased from 2 to 3,803 facilities. Same-month activation remained consistently high (median 0.969, IQR 0.744–0.999). By June 2025, the vendor network captured a 10.3% share of the estimated eligible FKTP pool (3,803/36,784). Logistic modeling suggested convergence to a carrying capacity of approximately 4,034 facilities (95% CI 3,953–4,115), while ARIMA projected around 4,030 facilities by December 2025 (95% CI 3,467–4,593). EMR adoption continues to increase, with rapid activation after registration, although growth slows over time. Localized increases near enforcement milestone windows are consistent with “deadline-chasing” behavior. Policy makers and vendors should combine deadline calendars with streamlined onboarding, secure migration support, clear technical-support SLAs, and region-specific interventions to address workforce and infrastructure gaps.

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