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Risk Factors for Prediabetes in Productive Age: Analysis of NCD Screening Data Akhmad Irawan; Irfansyah Baharudin Pakki; Yadi Yadi; Ratno Adrianto; Rahmat Bakhtiar; Akhmad Azmiardi
Indonesian Journal of Global Health Research Vol. 8 No. 4 (2026): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i4.1708

Abstract

One way to prevent diabetes mellitus is by preventing prediabetes, or glucose intolerance. Prediabetes is a reversible condition, while diabetes is irreversible. Prediabetes offers a valuable opportunity to prevent or delay the progression to diabetes. Nearly 4-9% of people with prediabetes will develop diabetes each year. Within 3-5 years, prediabetes will develop into type 2 diabetes mellitus in around 25% of patients and as many as 70% of patients are predicted to experience diabetes mellitus throughout their lives. If current trends continue, efforts must be made to stem the wave of new cases that are likely to emerge in the future. Therefore, it is crucial to determine the most effective indicators for predicting the development of prediabetes and to identify people at higher risk of developing prediabetes.Various studies have shown a causal relationship between prediabetes and cardiovascular disease and all-cause mortality. This study aimed to analyze the risk factors for prediabetes in the productive age group (aged 15-64) in Balikpapan City. This research design uses a cross-sectional design, utilizing secondary data, namely the results of 2024 Non Communicable Disease screenings in Balikpapan City, Data were collected using a structured questionnaire administered directly to respondents and supported by secondary data from medical records. Sampling in this study used purposive sampling technique. The formula used to determine the sample size is the Lemeshow formula. A total of 290 subjects ( 94 males, 196 females, productive age; 15 – 64 years old) whom have prediabetes screening. Univariate, bivariate, and multivariate analyses were conducted using logistic regression. The data comes from medical records containing the variables age, gender, and prediabetes risk factors. Out of 290 subjects, results of analysis showed that age (p = 0.006; OR = 0.404), gender (p = 0.039; OR = 2.237), and physical activity (p = 0.046; OR = 2.148) were significantly associated with prediabetes. Based on the Odds Ratio (OR), specific gender groups were 2.2 times more likely to experience prediabetes compared to the reference group. Demographic factors and physical activity significantly influence prediabetes risk.    
Performance Evaluation of Air Putih Community Health Center BLUD in Samarinda Using the Balanced Scorecard: A 2024 Descriptive Case Study Zheditya Ayu Syawalia; Ratno Adrianto; Akhmad Azmiardi; Ida Ayu Indira Dwika Lestari
Indonesian Journal of Global Health Research Vol. 8 No. 6 (2026): Indonesian Journal of Global Health Research: December 2026
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i6.2576

Abstract

Public healthcare reform in Indonesia has encouraged Puskesmas to adopt the Regional Public Service Agency (BLUD) financial management model, which provides greater financial flexibility while requiring stronger accountability and performance management. Evaluating BLUD performance through multiple dimensions is therefore important for identifying structural strengths and weaknesses that may not be reflected in financial indicators alone. This study aimed to evaluate the performance of BLUD Puskesmas Air Putih, Samarinda City, in 2024 using the four perspectives of the Balanced Scorecard. A descriptive quantitative approach with a single-case study design was employed. Secondary data were obtained from institutional documents, including the revised Business and Budget Plan, monthly financial realisation reports, Minimum Service Standards (SPM) records, the Application for Facilities, Infrastructure, and Medical Equipment (ASPAK), and workforce-needs data. Performance was analysed across the financial, customer, internal business process, and learning and growth perspectives. The financial perspective showed 97.08% effectiveness, 95.85% efficiency, and 25.35% independence. Five months experienced monthly deficits. The average SPM achievement was 61.4%, with strong maternal and child health performance but low non-communicable disease screening achievement, particularly hypertension at 11.31%. SPA completeness reached 83.96%, while only 1 of 193 mandatory-calibration medical devices had been calibrated. Workforce analysis showed that 66.3% of mapped positions were understaffed. BLUD Puskesmas Air Putih demonstrated uneven performance across the four Balanced Scorecard perspectives. Overall, the findings revealed financial dependence, service gaps, equipment quality risks, and workforce shortages across the four perspectives.