Cinthya Callathea
Department of Obstetrics and Gynecology, CMHC Research Center, Palembang, Indonesia

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Comprehension-Based Informed Consent Efficacy in High-Risk Surgeries: A Structural Equation Modeling Study Among Indonesian Patients in a Collectivistic Cultural Context Mustafa Mahmud; Cinthya Callathea; Yi-Fen Huang; Delia Tamim
Sriwijaya Journal of Forensic and Medicolegal Vol. 3 No. 2 (2025): Sriwijaya Journal of Forensic and Medicolegal
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjfm.v3i2.249

Abstract

Introduction: Comprehension-based informed consent (IC) represents the ethical and medicolegal foundation of surgical practice, yet its adequacy in collectivistic societies remains insufficiently studied. This study evaluated IC efficacy among high-risk surgical patients in an Indonesian tertiary hospital and identified sociodemographic, psychosocial, and clinical determinants using binary logistic regression within a structural equation modeling (SEM) analytical framework. Methods: A cross-sectional study enrolled 320 adult patients undergoing high-risk elective surgery (cardiac, thoracic, major abdominal, and orthopaedic) at Private Hospital X, Palembang, South Sumatra, Indonesia, from January to December 2024. Validated instruments assessed IC Comprehension Score (ICCS), Health Literacy Level (HLL), Surgeon Communication Quality (SCQ), Family Influence Score (FIS), Collectivism Index (CI), and IC Efficacy Score (ICE, 0–100). Adequate IC efficacy was defined as ICE ≥ 70. Bivariat analysis used Chi-Square and Mann-Whitney U tests. Multivariable binary logistic regression was performed with all continuous predictors standardised. Results: Mean ICCS was 49.4 ± 20.0 and mean ICE was 40.5 ± 19.8. Only 19 participants (5.9%) achieved adequate IC efficacy. Education level was significantly associated with IC efficacy adequacy (χ²=58.9, p<0.001). Spearman correlations revealed strong positive associations between ICCS and ICE (rho=0.773, p<0.001) and HLL and ICE (rho=0.566, p<0.001), and a weak negative association between FIS and ICE (rho=−0.139, p=0.012). In multivariable analysis, ICCS was the sole statistically significant independent predictor of adequate IC efficacy (OR=13.75, 95% CI [3.32–56.92], p<0.001); the model explained 55.4% of variance (Nagelkerke R²=0.554). Conclusion: Comprehension-based IC efficacy is markedly insufficient in this high-risk surgical collectivistic setting, with only 5.9% achieving adequacy. IC Comprehension Score was the sole independent determinant of IC efficacy, underscoring the imperative for structured, comprehension-focused, and culturally tailored IC interventions in Indonesian and comparable surgical settings.
Cardiovascular Risk Stratification in Pregnant Women with Gestational Diabetes: A Comparative Analysis of Predictive Models in Padang, Indonesia Cinthya Callathea; Vania Delma; Muhammad Rusli; Bjorka Alma; Rinna Azrida
Sriwijaya Journal of Internal Medicine Vol. 3 No. 1 (2025): Sriwijaya Journal of Internal Medicine
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjim.v2i2.177

Abstract

Introduction: Gestational diabetes mellitus (GDM) significantly increases the risk of both short-term and long-term cardiovascular disease (CVD) in women. Effective risk stratification during pregnancy is crucial for targeted interventions. This study aimed to compare the performance of established cardiovascular risk prediction models in a cohort of pregnant women with GDM in Padang, Indonesia. Methods: A prospective cohort study was conducted involving 350 pregnant women diagnosed with GDM at two major hospitals in Padang, Indonesia, between January 2022 and June 2023. Baseline demographic, clinical, and laboratory data were collected. Three established CVD risk prediction models – the Framingham Risk Score (FRS), the American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations (PCE), and a modified version of the PCE adapted for GDM (PCE-GDM) – were applied to calculate individual 10-year CVD risk scores. The primary outcome was the development of any major adverse cardiovascular event (MACE), defined as myocardial infarction, stroke, or cardiovascular death, or new-onset hypertension requiring medication, within one year postpartum. Model performance was assessed using discrimination (c-statistic) and calibration (Hosmer-Lemeshow goodness-of-fit test). Results: The mean age of participants was 32.4 ± 5.1 years. The prevalence of pre-existing hypertension was 8.6%, and the mean pre-pregnancy BMI was 28.5 ± 4.7 kg/m². During the one-year follow-up, 25 (7.1%) women experienced a MACE. The PCE-GDM model demonstrated the best discrimination (c-statistic = 0.82, 95% CI 0.76-0.88), followed by the PCE (c-statistic = 0.75, 95% CI 0.68-0.82), and the FRS (c-statistic = 0.68, 95% CI 0.60-0.76). The PCE-GDM also showed good calibration (χ² = 8.3, p = 0.41), while the FRS and PCE tended to underestimate risk (χ² = 18.5, p = 0.02 and χ² = 15.2, p = 0.06, respectively). Conclusion: The PCE-GDM model, specifically adapted for GDM, showed superior performance in predicting short-term cardiovascular risk compared to traditional models in this Indonesian cohort. These findings highlight the need for GDM-specific risk stratification tools to improve cardiovascular risk management in this vulnerable population.