Routine Health Information Quality and Associated Factors Among Health Facilities in Eastern Zone of Tigray, Ethiopia, 2021: A Comparative Cross-Sectional Study (original) (raw)
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2021
Background: Comprehensive medical records are cornerstones in the quality and efficiency of patient care, as they can provide a complete and accurate chronology of treatments, patient results, and future plans for care. The study was aimed to assess the quality of medical records in public health facilities of Jimma Zone. Methods: A facility-based cross-sectional quantitative study design supplemented by a qualitative method was used from May 30 to July 29, 2020. A total of 384 medical records were reviewed by using the facility inventory form for quantitative data. The data was entered by EPI data 3.1 and analyzed by SPSS 23 and descriptive statistics were used to present the findings. Qualitative data were triangulated with the quantitative data.Result: The majority of the health facility has a shortage of trained and qualified recording personnel in the medical record department. Among 36 health facilities, only one facility have printer in the record room and 3(8%) of them have ...
BMC Medical Informatics and Decision Making
Background Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia. Methods A cross-sectional study was conducted in all public health facilities in the Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation checklists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P value
BMC Medical Informatics and Decision Making
Background Health care practice relies on evidence-based decisions and needs the use of quality health care data. Health management information system (HMIS) is among the core elements of health system building blocks. In our study setting, there is a lack of adequate information on the quality of health information data. This study aimed at exploring the quality of health management information system data in terms of timeliness, completeness, and accuracy. The specific objectives were to evaluate the quality and use of the health management information system in Primary health care units of East Wollega zone, Ethiopia. Methods A cross-sectional study was conducted from April to June 2016 on 316 health professionals/health information technicians. The sample was obtained by simple random sampling technique. Qualitative data were obtained from 16 purposefully selected key informants by Focus group discussion (FGD). We observed 50 selected health facilities using an observation check...