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Factors Associated with Incomplete Informed Consent in Inpatient Medical Records Rudy Dwi Laksono; Mila Sari
Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems Vol. 2 No. 1 (2026): March, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/rekammedis.v2i1.636

Abstract

Informed consent is a crucial component of medical records that serves as legal evidence and a means of protecting patient rights; however, incomplete documentation remains a common issue that may compromise healthcare quality. This study aimed to analyze factors associated with incomplete informed consent documentation in inpatient medical records. A quantitative study with a cross-sectional design was conducted on 120 medical records selected using systematic random sampling. The dependent variable was the completeness of informed consent, while the independent variables included staff knowledge, years of experience, workload, and compliance with standard operating procedures (SOPs). Data were collected using a checklist based on Ministry of Health Regulation No. 290 of 2008 and analyzed using univariate and bivariate methods with the Chi-square test at a significance level of 0.05. The results showed that incomplete informed consent documentation was relatively high (62.5%). Bivariate analysis indicated that knowledge (p=0.002; OR=5.5), workload (p=0.004; OR=5.0), and SOP compliance (p=0.001; OR=7.55) were significantly associated with incomplete documentation, while years of experience was not significantly associated (p=0.087). In conclusion, the incompleteness of informed consent is influenced by both individual and system-related factors, with SOP compliance identified as the most dominant factor.
The Relationship Between Health Misinformation Exposure and Adherence to Disease Prevention Programs: A Cross-Sectional Study in Indonesia Adriani; Mila Sari; Samuel Hadjo
Miracle Journal Get Press Vol 3 No 2 (2026): May, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/mgj.v3i2.607

Abstract

The rapid growth of digital technology has expanded access to health information but has also increased exposure to health misinformation, which may affect health-related behaviors. This study aimed to examine the relationship between exposure to health misinformation and adherence to disease prevention programs among adults in Palembang City, South Sumatra, Indonesia. A quantitative cross-sectional design was employed involving 120 respondents aged 18 years and above who actively accessed health information through digital media. Participants were selected using simple random sampling. Data were collected using a validated Likert-scale questionnaire and analyzed using descriptive statistics, Pearson correlation, and linear regression. The findings showed that exposure to health misinformation was moderately high (mean = 3.62), while adherence to disease prevention programs was at a moderate level (mean = 3.45). Pearson correlation analysis revealed a significant negative relationship between misinformation exposure and adherence (r = −0.462; p < 0.05). Linear regression analysis indicated that misinformation exposure significantly predicted adherence behavior (B = −0.385; p < 0.001), explaining 21.3% of the variance. The results suggest that health misinformation is an important factor influencing adherence to disease prevention programs. Enhancing digital health literacy, strengthening evidence-based health communication, and increasing public trust in health institutions are essential strategies to improve compliance with disease prevention measures and reduce the negative impact of misinformation.
Multicomponent Nudging Strategy to Improve Medication Adherence in Hypertensive Patients Esa Zahirah; Evino Sugriarta; Mila Sari
Miracle Journal Get Press Vol 3 No 2 (2026): May, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/mgj.v3i2.613

Abstract

Hypertension remains a major global non-communicable disease, with medication non-adherence representing a significant barrier to effective blood pressure control. This study aimed to evaluate the effectiveness of a multicomponent nudging strategy consisting of health education, medication reminder systems, and family support in improving medication adherence among hypertensive patients at a primary healthcare facility. A quasi-experimental study with a non-equivalent control group design was conducted involving 60 respondents, equally divided into intervention (n = 30) and control (n = 30) groups. Medication adherence was assessed using the Morisky Medication Adherence Scale-8 (MMAS-8) at baseline and post-intervention. Data were analyzed using paired and independent t-tests. Before the intervention, 58.3% of respondents in both groups demonstrated low adherence. Following the intervention, the proportion of participants with high adherence in the intervention group increased from 10.0% to 46.7%, while the mean MMAS-8 score improved significantly from 5.2 ± 1.3 to 7.1 ± 1.1 (p < 0.001). In contrast, the control group showed only a modest increase from 5.3 ± 1.2 to 5.8 ± 1.3 (p = 0.043). The change in adherence scores was significantly greater in the intervention group than in the control group (Δ = 1.9 vs. 0.5; p < 0.001). These findings indicate that multicomponent nudging strategies effectively enhance medication adherence among hypertensive patients and may support improved hypertension management in primary healthcare settings.
The Effectiveness of Family-Centered Care on Anxiety Levels in Children with Chronic Illnesses: A Cross-Sectional Study Andrafikar; Mila Sari; Safiyah Kamilah
Miracle Journal Get Press Vol 3 No 2 (2026): May, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/mgj.v3i2.657

Abstract

Chronic illnesses in children often lead to significant psychological distress, particularly anxiety caused by repeated hospitalizations, invasive procedures, and uncertainty regarding prognosis. Family-Centered Care (FCC) is a family-oriented healthcare approach that may reduce anxiety by enhancing emotional support and fostering a sense of security. Purpose: This study aimed to analyze the effect of Family-Centered Care implementation on anxiety levels among children with chronic illnesses. Methods: An analytical observational study with a cross-sectional design was conducted involving 80 children aged 6–18 years diagnosed with chronic illnesses, recruited through purposive sampling. Family-Centered Care was assessed using the Family-Centered Care Questionnaire-Revised (FCCQ-R), while anxiety levels were measured using the Spence Children’s Anxiety Scale (SCAS). Data were analyzed using Pearson correlation and simple linear regression. Results: Most respondents perceived FCC implementation as good (60.0%), while 48.8% of children reported moderate anxiety. Pearson correlation analysis showed a significant negative relationship between FCC and anxiety levels (r = −0.621; p < 0.001). Linear regression revealed that FCC significantly predicted anxiety levels (B = −0.371; 95% CI: −0.475 to −0.267; β = −0.621; p < 0.001), explaining 38.6% of the variance (R² = 0.386). Conclusion: Higher levels of Family-Centered Care were associated with lower anxiety levels in children with chronic illnesses, suggesting that strengthening FCC implementation may improve psychosocial outcomes in pediatric nursing care.
Road Damage Prediction via Smartphone: Optimizing Vibration Sensors and Crowdsourced Data for Low-Cost Pavement Condition Assessment Mila Sari; Rozlinda Dewi
Science Journal Get Press Vol 3 No 3 (2026): July,2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v3i3.710

Abstract

Road authorities in developing countries lack cost-effective pavement monitoring tools. This study optimizes smartphone vibration sensing and crowdsourced data for automatic road damage prediction. Accelerometer and GPS data were collected from motorcycles on 42 urban road segments (86.4 km) in Padang, Indonesia, producing 12,480 labelled windows across four pavement condition classes. Four machine-learning classifiers were trained and compared: SVM, ANN, XGBoost, and Random Forest (RF). Sampling rate, mounting position, and contributor aggregation effects were systematically evaluated. RF achieved the highest performance (92.4% accuracy, 91.4% F1-score). A 50 Hz sampling rate with dashboard mounting provided optimal results, while pocket mounting degraded accuracy substantially. Aggregating data from five or more contributors reduced IRI estimation RMSE from 2.31 to 1.21 m/km, with strong correlation to ground-truth measurements (r = 0.91). Optimized smartphone sensing offers a scalable, low-cost alternative for pavement assessment in resource-constrained regions, supporting evidence-based maintenance prioritization.
Analysis of the Implementation of Medical Record Retention Based on Medical Record Officers' Perceptions: A Qualitative Case Study at Siti Rahmah Islamic Hospital Padang Yulfa Yulia; Mila Sari; Arif Prima
Research and Evidence on Knowledge in Administration and Management — Medical Electronic Data and Information Systems Vol. 2 No. 1 (2026): March, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/rekammedis.v2i1.706

Abstract

The implementation of medical record retention is an important activity in medical record management to ensure storage efficiency, ease of file retrieval, and compliance with applicable regulations. However, its implementation in hospitals still faces obstacles, such as limited human resources, storage facilities, and officers' understanding of retention procedures. This study aims to analyze the implementation of medical record retention based on the perceptions of medical record officers. Unlike previous studies that focused mainly on compliance with retention procedures, this study explores medical record officers' perceptions to identify organizational and operational barriers affecting retention implementation. This study employed a qualitative case study design at the Medical Record Installation of Siti Rahmah Islamic Hospital Padang involving five informants selected through purposive sampling. Data were collected through in-depth interviews, observations, and document analysis, and analyzed using the Miles and Huberman model. The findings indicate that retention procedures have been implemented but not consistently or according to schedule. The main barriers include varying levels of officers' understanding, limited facilities and storage space, and inadequate monitoring and evaluation. It was concluded that strengthening human resources, facilities, and supervision is essential to optimize medical record retention implementation.
Revenue Projection of Padang Panjang General Hospital Based on Standard Inpatient Class (KRIS) Policy Based on Ina-CBGs Tariff Simulation Mila Sari; Agnes Ratna Saputri
Journal of Health Service Administration and Hospital Management Vol. 2 No. 2 (2026): July, 2026
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/laceri.v2i2.744

Abstract

The Standard Inpatient Class (KRIS) policy, which replaces the BPJS Kesehatan class 1, 2, and 3 system, poses financial implications for regional public hospitals, particularly regarding conformity of INA-CBGs tariffs to real service costs. This tariff gap can suppress hospital cash flow, leaving Padang Panjang Hospital, a Regional Referral Hospital, with uncertain revenue projections following KRIS implementation. Purpose: This study aims to analyze the projected revenue of Padang Panjang Hospital based on INA-CBGs tariff simulation under the KRIS scheme. Methods: The study used a quantitative descriptive design using a retrospective approach on secondary data, conducted at Padang Panjang Hospital, West Sumatra. The sample comprised all inpatient claims from January–December 2025, totaling 1,240 episodes, selected through total sampling. Data were collected via documentation study of medical record and INA-CBGs claim data. Univariate analysis described the distribution of tariffs and case volumes, while bivariate analysis used the Paired t-test/Wilcoxon test to examine tariff differences and Pearson correlation to examine the relationship between case severity and tariff differences. Results: Results showed a mean difference between real and INA-CBGs tariffs of IDR 387,500 per episode (SD = 112,300), with a projected revenue decrease of 8.7% following KRIS implementation. Bivariate analysis showed a significant relationship between case severity and tariff difference magnitude (p = 0.012; r = 0.341). Implications: These findings imply the need to strengthen clinical pathways and improve operational cost efficiency. Conclusion: Padang Panjang Hospital needs to develop a case-mix strategy and a real-time claims monitoring system to maintain financial sustainability in the KRIS era