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1.
PLoS One ; 16(10): e0255949, 2021.
Article in English | MEDLINE | ID: mdl-34705833

ABSTRACT

BACKGROUND: A well designed Health management information system is necessary for improving health service effectiveness and efficiency. It also helps to produce quality information and conduct evidence based monitoring, adjusting policy implementation and resource use. However, evidences show that data quality is poor and is not utilized for program decisions in Ethiopia especially at lower levels of the health care and it remains as a major challenge. METHOD: Facility based cross sectional study design was employed. A total of 18 health centers and 302 health professionals were selected by simple random sampling using lottery method from each selected health center. Data was collected by health professionals who were experienced and had training on HMIS tasks after the tools were pretested. Data quality was assessed using accuracy, completeness and timeliness dimensions. Seven indicators from national priority area were selected to assess data accuracy and monthly reports were used to assess completeness and timeliness. Statistical software SPSS version 20 for descriptive statistics and binary logistic regression was used for quantitative data analysis to identify candidate variable. RESULT: A total of 291 respondents were participated in the study with response rate of 96%. Overall average data quality was 82.5%. Accuracy, completeness and timeliness dimensions were 76%, 83.3 and 88.4 respectively which was lower than the national target. About 52.2% respondents were trained on HMIS, 62.5% had supervisory visits as per standard and only 55.3% got written feedback. Only 11% of facilities assigned health information technicians. Level of confidence [AOR = 1.75, 95% CI (0.99, 3.11)], filling registration or tally completely [AOR = 3.4, 95% CI (1.3, 8.7)], data quality check, supervision AOR = 1.7 95% CI (0.92, 2.63) and training [AOR = 1.89 95% CI (1.03, 3.45)] were significantly associated with data quality. CONCLUSION: This study found that the overall data quality was lower than the national target. Over reporting of all indicators were observed in all facilities. It needs major improvement on supervision quality, training status to increase confidence of individuals to do HMIS activities.


Subject(s)
Data Accuracy , Delivery of Health Care/statistics & numerical data , Health Facilities/statistics & numerical data , Management Information Systems/statistics & numerical data , Quality of Health Care/statistics & numerical data , Adult , Cross-Sectional Studies , Ethiopia , Female , Health Personnel/statistics & numerical data , Health Records, Personal , Humans , Male , Surveys and Questionnaires , Young Adult
2.
Biomed Res Int ; 2020: 4916421, 2020.
Article in English | MEDLINE | ID: mdl-32923481

ABSTRACT

BACKGROUND: Home delivery is responsible to maternal mortality due to obstetric complication like hemorrhage, hypertensive disorders, and sepsis. The prevalence of home delivery is remained very high both nationally (73%) and regionally (SNNPR) with 74.5%. Efforts were made to increase institutional delivery through skilled birth attendance. But women still prefer home as a place of delivery. This study was done to determine whether home preference has association with home delivery or not and the reason why they prefer home delivery. METHOD: A community-based cross-sectional study was conducted in East Badawacho District from January 26 to February 25/2018. A total of 552 participants were selected by systematic sampling. Data were collected using both quantitative and qualitative methods. Bivariate and multivariable analyses were carried out to identify factors associated with home delivery. Qualitative data was analyzed thematically, and results were triangulated with the data. Associations were determined by using OR at 95% CI and p value at 0.05. RESULT: Home delivery is found to be 73.6% (95% CI, 69.9%-77.2%). Lack of written birth plan for birth preparedness and readiness (AOR = 14.965, 95% CI: 4.488-49.899), incomplete number of ANC visits (1-3)(AOR = 4.455, 95% CI: 1.942-10.221), and home preference as a place of delivery (AOR = 4.039, 95% CI: 1.545-10.558) were independent predictors of home delivery. CONCLUSION: Home delivery was high in the district. The independent factors significantly associated with home were lack of written birth plan for preparedness and readiness, incomplete number of ANC visits (1-3), and home preference as place of delivery. Actions targeting maternal education, encouraging number of ANC visits, and avoiding barriers for ID utilization were the crucial areas to tackle the problem.


Subject(s)
Home Childbirth/statistics & numerical data , Adult , Cross-Sectional Studies , Delivery, Obstetric/methods , Ethiopia , Evaluation Studies as Topic , Female , Health Facilities/statistics & numerical data , Humans , Maternal Mortality , Parturition/physiology
3.
PLoS One ; 15(5): e0233092, 2020.
Article in English | MEDLINE | ID: mdl-32437466

ABSTRACT

BACKGROUND: The utilization of routine health information is an essential factor of the structural capacity of health departments and public health performance depends on the effectiveness of information use for routine and programed decisions. Considerable research has been conducted in health data collection and ways to improve data quality, but little is known about utilization of routine health information among health workers in Ethiopia in general and in the study area in particular. OBJECTIVES: The aim of this study was to assess level of utilization of routine health information and associated factors among health workers in Hadiya zone, Southern Ethiopia, 2019. METHODS AND MATERIALS: Facility-based cross-sectional study design with both quantitative and qualitative data collection methods was employed at the Hadiya zone from March 10-25, 2019. A total of 480 health workers were included in the study and systematic random sampling was employed to select the health care workers in the study. The results were analyzed and presented in tables and graphs. Finally, the binary logistic regression was used to examine independent predictors. RESULT: Good level of utilization of routine health information was reported by 301 (62.7%, 95% CI: 58.5%-66.9%) of the health workers. Training [AOR = 8.12; 95% CI: (4.33-15.23)], supportive supervision [AOR = 2.34; 95% CI:(1.40-3.92)], good perceived culture of health information [AOR = 5.05; 95% CI: (2.99-8.50], having a standard set of indicators (AOR = 2.05 95%; CI: (1.23-3.41) and competence on routine health information tasks [AOR = 5.85; 95% CI: (3.41-10.02)] were independent predictors. CONCLUSION: Good level of utilization of routine health information was noted in less than two-third of the study participants. Further training, supportive supervision, perceived culture of health information, having standard set of indicators and competence on routine health information task were factors that improve routine health information utilization.


Subject(s)
Delivery of Health Care , Health Personnel , Health Workforce , Adult , Cross-Sectional Studies , Ethiopia , Female , Humans , Male
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