scholarly journals Logistics management information system performance for program drugs in public health facilities of East Wollega Zone, Oromia regional state, Ethiopia

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Kefyalewu Tiye ◽  
Tadesse Gudeta
Keyword(s):  
Public Health ◽  
Information System ◽  
Management Information System ◽  
System Performance ◽  
Health Facilities ◽  
Logistics Management ◽  
Management Information ◽  
Public Health Facilities ◽  
Regional State

scholarly journals Utilization of Routine Health Management Information and Associated Factors among Health Professionals Workingat Public Health Facilities of Hadiya Zone Southern Ethiopia

2019 ◽  
Author(s):  
Animut Addis Feleke ◽  
Takele Tigro Olbamo ◽  
Binyam Taddesse ◽  
Yibeltal Siraneh
Keyword(s):  
Public Health ◽  
Information System ◽  
Health Professionals ◽  
Confidence Level ◽  
Health Management ◽  
Health Facilities ◽  
Southern Ethiopia ◽  
Health Management Information System ◽  
Management Information ◽  
Public Health Facilities

Abstract Background Health management information system is a system that used for routine data collection, analysis and utilization in health system. However, limited study done on routine health management information at individual health professionals level. Hence, the objective of this study was to assess utilization of routine health management information and associated factors among health professionals working at public health facilities of Hadiya Zone Southern Ethiopia. Methods A facility based cross-sectional survey was conducted among health professionals working at public health facilities of Hadia Zone from March 15-30, 2018. Using single population proportion formulae, 477participants were randomly selected. Data were collected by self-administered questioner. The data were entered in to Epi data version 3.1 and exported to SPSS version 23 for statistical analysis. Both bivariate (at P<0.25) and multi variable logistics regressions (at P<0.05) were used to identify predictors of utilization. Finally, the findings were presented using graphs, tables, narratives and descriptive numerical summary. Results The finding of this study revealed that utilization of health management information system among health workers was 54.9%. Knowledge [AOR=1.576, 95%CI (1.012, 2.454)], confidence level [AOR=1.873, 95%CI(1.264,2.776)], participation on data aggregation [AOR=2.289, 95% CI (1.293,4.05­)], register their daily data [AOR=2.529, 95% CI(1.023, 6.251)], and complexity of formats [AOR=1.971, 95%CI(1.29,3.011)] were found to be significantly associated with utilization of health information system at 95%confidence level. Conclusion and recommendations The overall health information utilization among health workers was low relative to other literature. Having good knowledge, high confidence level, participation on data aggregation, registering their daily data were independent predictors of information utilization. Therefore, stakeholders at each level should improve capacity of health care providers like providing training and regular mentorship related with information use.

Research and Design of University Logistics Management System Based on J2EE

2013 ◽  
Vol 380-384 ◽  
pp. 4667-4670
Author(s):  
Meng Jie Wang
Keyword(s):  
Information System ◽  
Management Information System ◽  
Function Analysis ◽  
Basic Structure ◽  
Logistics Management ◽  
Main Function ◽  
Management Information ◽  
The Status ◽  
Market Management ◽  
Logistics Management System

This paper analyzes the status quo of Chinese Universities logistics management information system; using the Struts framework based on J2EE university logistics management information system, and the basic structure of the system, the main features integral part of, the main function analysis; combination of university logistics management the actual analysis of the information system client Web layer, business layer, data layer is designed to build stability, flexibility and scalability, easy maintenance of university logistics management information system, and enhance the logistical support capabilities, strengthening the logistics market management, improve work efficiency.

Quality of Routine Health Information System Data and Associated Factors Among Departments in Public Health Facilities of Harari Region, Ethiopia

2021 ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera ◽  
Negga Baraki
Keyword(s):  
Public Health ◽  
Information System ◽  
Data Quality ◽  
Health Information ◽  
Health Information System ◽  
Health Facilities ◽  
Quality Data ◽  
Public Health Facilities ◽  
System Data

Abstract 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 Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation check-lists. 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 <0.05. Result: The study found a good quality data in 51.35% (95% CI, 44.6-58.1) of the departments in public health facilities in Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to departments found in the health posts. The presence of trained staffs able to fill reporting formats (AOR=2.474; 95%CI: 1.124-5.445) and provision of feedback (AOR=3.083; 95%CI: 1.549-6.135) were also significantly associated with data quality. Conclusion: The level of good data quality in the public health facilities was less than the expected national level. Training should be provided to increase the knowledge and skills of the health workers.

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