International Journal on Health and Medical Sciences

Correlation of preeclampsia degree with NICU admission rate in neonates at Bhayangkara Hasta Brata Batu Hospital

Afif Rahman Maulana, Miftakhul Ulfa, Wira Darmatasia — Mon, 28 Sep 2026 00:00:00 +0000

Preeclampsia is a pregnancy complication that may affect maternal and neonatal conditions. Impaired placental perfusion caused by preeclampsia increases the risk of prematurity, low birth weight, respiratory disorders, and the need for Neonatal Intensive Care Unit (NICU) admission. This study aimed to determine the correlation between preeclampsia degree and NICU admission rate in neonates at Bhayangkara Hasta Brata Batu Hospital. This retrospective observational analytic study included 32 mothers with preeclampsia and their neonates selected using total sampling. Data were collected from medical records and analyzed using Somers’ d. Sixteen neonates (50%) received NICU care and 16 (50%) did not. NICU admission increased across preeclampsia severity: 0% in mild, 54.5% in moderate, and 90.9% in severe preeclampsia. Somers’ d showed a significant positive correlation (p < 0.001; d = 0.598). Clinically, these findings indicate that severe preeclampsia identifies a group with a substantially higher likelihood of neonatal intensive care needs, supporting early neonatal risk assessment and readiness of NICU resources. However, the findings should be interpreted as an association rather than a validated prediction model because other determinants of NICU admission were not simultaneously modeled.

Analysis of the implementation of BPJS regulations on the completeness of medical records and the accuracy of obstetric coding at RS X Sukabumi

Amelia Nursalam, Sinta Novratilova — Mon, 26 Oct 2026 00:00:00 +0000

The completeness of medical records and the accuracy of coding are important aspects in supporting the BPJS claim process. However, previous research has not extensively examined the relationship between the completeness of medical records and the accuracy of obstetric coding, nor the factors influencing the implementation of BPJS regulations. This study aims to analyze the implementation of BPJS regulations regarding medical record completeness and obstetric diagnosis coding accuracy and identify influencing factors. The research uses a qualitative approach involving 244 obstetric patient medical record files from January to May 2026. Data were collected through document review, observation, and in-depth interviews with six purposively selected informants. Medical record completeness was assessed across six dimensions, while coding accuracy was evaluated through recoding based on ICD-10, the POGI 2022 Coding Guidelines, and BPJS claim regulations. Results showed that 92 files (38%) were complete, while 152 (62%) were incomplete. Of the diagnosis codes, 139 (56.97%) were accurate and 105 (43.03%) were inaccurate. Contributing factors included staff competence and workload, outdated SOPs, hybrid medical record systems, clinical documentation quality, and resource limitations. The novelty of this research lies in the integrated analysis of medical record completeness, obstetric coding accuracy, and the 5M factors in the context of BPJS regulation implementation. Incomplete medical records and inaccurate diagnosis codes may hinder claim verification and increase the risk of pending or rejected BPJS claims. Strengthening staff competencies, updating SOPs, improving documentation, integrating systems, and conducting periodic coding audits are required to improve claim accuracy and completeness.

The relationship between consistency in completing inpatient electronic medical records for internal medicine cases and ICD-10 coding accuracy at RSUD H. Moh. Ruslan Mataram City

Eki Ratna Wahyuni, Sinta Novratilova — Sat, 17 Oct 2026 00:00:00 +0000

High-quality documentation must meet criteria for completeness, accuracy, timeliness, and consistency. Incomplete or inconsistent medical records can lead to coding errors. A preliminary study conducted at RSUD H. Moh. Ruslan Mataram City examining a sample of ten inpatient internal medicine medical records from January to February 2026, found that medical record completion consistency was 50% and coding accuracy was 40%. This study aimed to determine the relationship between the consistency of inpatient internal medicine Electronic Medical Record completion and ICD-10 coding accuracy. This was a quantitative study using a correlational method. The sample consisted of 253 inpatient internal medicine medical records. The results showed that 117 records (46.2%) were completed consistently, while 136 records (53.8%) were inconsistent. Regarding coding, 154 records (60.9%) had accurate ICD-10 codes, and 99 records (39.1%) had inaccurate codes. Statistical analysis using the chi-square test revealed a significant relationship between the consistency of inpatient internal medicine EMR completion and ICD-10 coding accuracy (p-value = 0.000). Inconsistencies in medical record documentation can hinder staff in the disease coding process. Inaccurate diagnostic codes result in low data validity and inaccuracies in reports regarding the top ten diseases and morbidity. Improving the consistency of medical record documentation through periodic qualitative analysis and displaying the results on the Hospital Information Management System dashboard, nabling clinical staff to view the findings, complemented by notifications to the attending physician regarding incomplete records, alongside enhancing staff competence through coding training, revising standards for the use of approved and unapproved abbreviations, and conducting periodic evaluations of ICD-10 coding accuracy.

Occupational fatigue in bakery workers: A retrospective analysis of physical workplace factors in 2019

Chendra Perdana Putra, Asril Asril, Makomulamin Makomulamin — Mon, 26 Oct 2026 00:00:00 +0000

Occupational fatigue is an important occupational health concern that may reduce workers’ performance and increase the risk of workplace accidents. This study aimed to analyze the associations between physical workplace factors and occupational fatigue among bakery workers in Indonesia. This quantitative analytical observational study used a cross-sectional design and was conducted at a bakery factory CV “X” in Kampar Regency, Riau Province, Indonesia, in 2019. A total of 55 workers were recruited using total sampling. Workplace illumination, noise, temperature, and vibration were measured using environmental monitoring instruments, whereas occupational fatigue was assessed using the Work Fatigue Feeling Measurement Questionnaire (KAUPK2). Data were analyzed using chi-square tests and multiple logistic regression. Of the 55 workers, 38 (69.09%) experienced occupational fatigue. Bivariate analysis showed significant associations between fatigue and illumination (p = 0.004), noise (p = 0.001), and vibration (p = 0.006), whereas temperature was not significantly associated with fatigue (p = 0.170). In the multivariable analysis, illumination (POR = 0.124, 95% CI: 0.021–0.726; p = 0.021) and noise (POR = 8.381, 95% CI: 1.093–64.256; p = 0.041) remained significantly associated with occupational fatigue. Occupational fatigue was prevalent among bakery workers and was associated with workplace illumination and noise. Improving workplace lighting and controlling noise exposure should be considered in occupational health and safety programs.