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Analysis of Risk Factors Influencing the Incidence of Diabetes Mellitus among Employees Ira Puspa Rachmawati; Irfansyah Baharuddin Pakki
Indonesian Journal of Global Health Research Vol 7 No 5 (2025): 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.v7i5.6697

Abstract

Diabetes Mellitus (DM) is a chronic metabolic disorder that remains a major public health concern globally. Its prevalence is influenced by various lifestyle and hereditary factors. This study aims to analyze the risk factors contributing to the incidence of DM among employees at Segiri Community Health Center. A retrospective case-control study was conducted using secondary data from health screenings and fitness assessments of Segiri Community Health Center employees in September 2023. From 50 staff members, 40 with complete records were included: 10 DM cases and 30 non-DM controls (1:3 ratio). Data included medical history, lifestyle behaviors, and anthropometric measurements. Analysis involved univariate and bivariate tests using cross-tabulation and Odds Ratio (OR). The most significant risk factor was abnormal Body Mass Index (BMI), as all DM cases had abnormal BMI values. Other influential factors included parental history of diabetes (OR = 18.0), personal history of hypertension (OR = 9.3), and parental history of hypertension (OR = 6.0). Additional contributing factors were low fruit and vegetable intake (OR = 4.0), excessive salt intake (OR = 1.63), and abnormal waist circumference (OR = 1.31). Smoking and alcohol consumption were not significantly associated with DM in this sample. Abnormal BMI and a family history of diabetes and hypertension significantly contribute to the incidence of DM. Targeted interventions focusing on these modifiable and non-modifiable risk factors are essential for effective workplace prevention strategies.
The Influence of Hospital Marketing Mix and Consumer Personal Factors on the Selection of Referral Hospitals by Patients Ira Puspa Rachmawati; Rahmat Bakhtiar; Blego Sedionoto; Ratih Wirapuspita Wisnuwardani; Ratno Adrianto; Hilda Hilda
Indonesian Journal of Global Health Research Vol. 8 No. 3 (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.v8i3.1049

Abstract

The selection of referral hospitals is not solely determined by the administrative mechanism of the National Health Insurance (JKN) referral system but is also influenced by hospital marketing strategies and patient characteristics. This study aimed to examine the effects of the hospital marketing mix (7Ps) and personal patient factors on referral hospital selection at Segiri Primary Health Center, Samarinda. A quantitative cross-sectional design was employed involving 348 respondents selected through simple random sampling from 1,758 referred patients. Data were collected using a structured questionnaire that had been tested and confirmed to be valid and reliable. Statistical analyses included Chi-square and Fisher’s exact tests for categorical variables, as well as Kruskal-Wallis and Mann-Whitney tests for non-parametric comparisons. The results indicated that most personal characteristics, including age, gender, education, occupation, income, and JKN ownership, were not significantly associated with referral hospital selection (p>0.05), except for domicile (p<0.05). Clinical factors, represented by the destination polyclinic, showed a strong association with hospital choice (p<0.001). Among the marketing mix components, Product (p=0.026), Process (p=0.018), and Physical Evidence (p<0.0001) significantly influenced referral hospital selection, while Price, Place, Promotion, and People showed no significant effects (p>0.05). In conclusion, referral hospital selection was primarily influenced by service needs and the quality of patient experience rather than personal characteristics. Prioritizing improvements in physical facilities and optimizing service processes are essential to enhance the effectiveness of the referral system.