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 checklist. We analyzed quantitative data by SPSS version 20 using descriptive and logistic regression analysis techniques. we applied a thematic analysis approach to analyze qualitative data. Results: Timeliness of report, registration completeness, report completeness, and data accuracy level of the selected facilities were 70, 78.2, 86, and 48%, respectively. All results are below the expected national standards. Commonly reported reasons for the poor practice of data quality were; poor support of management, lack of accountability for the false report, poor supportive supervision, and lack of separate and responsible unit for health information management. Conclusion: The Health information management system is poorly coordinated at the primary health units. Accountability should be assured through continuous in-service training, supportive supervision, and concrete feedbacks. Electronic management of health information should be available in primary health care units.

Background Essential Newborn Care is a set of strategic and cost-effective interventions planned to improve the health of newborns through the care they receive from birth up to 28 days. In the current study area, little is known about the prevalence of essential newborn care practices and its associated factors. This study was aimed to assess the prevalence of essential newborn care practice and its associated factors among home-delivered mothers in Guto Gida district, western Ethiopia. Methods A community-based cross-sectional study was conducted in Guto Gida district from September 5 to 15, 2020. Data were collected by interviewing 601 systematically selected home-delivered women. Descriptive statistics were employed to describe frequency and percent. Binary logistic regression analysis was employed to identify candidate variables for the final model. Variables with p-value less than 0.25 at bivariate logistic regression were considered as the candidate variable and entered into multivariable logistic regression model. Finally, multivariable logistic regression was employed to identify associated factors at p-value less than 0.05, and the strength of association was described by adjusted odds ratios with 95% CI. Results The study shows that the level of essential newborn care practices was 168 (28%) (23.9–31.4). In this study, women in the first wealth quantile (AOR [95% CI] = 0.64 [0.34–0.97]), women who had one live birth (AOR [95% CI] = 0.51 [0.22–0.87]), women who lost their neonate before the study period (AOR [95% CI] = 0.11 [0.05–0.22]) were less likely to practice essential newborn care. Women who were advised on essential newborn care practice during a home visit by health extension workers (AOR [95% CI] = 3.45[1.56–7.26]), women who attended antenatal care during their current pregnancy (AOR [95% CI] = 1.79 (1.21–3.36]), and women who were attended at their birth by health extension workers (AOR [95% CI] = 3.29 [2.13–5.94]) were more likely to practice essential newborn care. Conclusions In this study, the prevalence of essential newborn care practice was low (28%), as compared with the World Health Organization recommendation that it should be 100%. The wealth quantile, number of live births, home visits by health extension workers, antenatal care, birth attendant, and neonatal death were independent predictors of essential newborn care practices.

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