Behavioral and Technical Factors Associated with Perceived Quality of HIV/AIDS Data Reported in Community Based Health Information System in Homa-Bay County, Kenya

Author(s):  
Evans Ogondi ◽  
George Otieno ◽  
Isaac Mwanzo ◽  
Gilbert Koome
2021 ◽  
Author(s):  
Adisu Tafari Shama ◽  
Hirbo Shore Roba ◽  
Admas Abera ◽  
Negga Baraki

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.


2016 ◽  
Vol 4 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Viera Juniver Thenu ◽  
Eko Sediyono ◽  
Cahya Tri Purnami

Purworejo District Health Office (DHO) has developed Health Center Management Information System (HCMIS) to provide quick, precise, and accurate information for supporting the process of decision making and the policy of services at Health Center. However, there was still any empty forms and did not use the system. To standardize Health Information System, Ministry of Health has released a concept of Generic SIKDA. Therefore, the system applied by Purworejo DHO needs to be evaluated using the method of HOT fit. This was qualitative research using indepth interview and direct observation. Main informants were nine data operators and informants for triangulation purpose was six persons from health centers and five persons from DHO. Furthermore, data were analyzed using content analysis. The result of this research revealed that the application of HCMIS at Purworejo DHO was equal to Generic SIKDA. The system had been applied routinely but there was no a guidance book and training. Number of human resources was sufficient. However, there needed to make an implementer team of Health Information System in accordance with competency. There was no routine monitoring and current budget was not sufficient to maintain hardware to support the system. Quality of the system used was good, easy to use, and available of menu to communicate data. Unfortunately, quality of resulted information had still been inaccurate and incomplete because it did not cover data of services at Subsidiary Health Centers (SHC) and Village Health Posts (VHP). The lateness of services was related to a funding procedure. HCMIS at Purworejo DHO was equal to Generic SIKDA but it had not been used to make a decision. As a suggestion, DHO needs to conduct training, monitor, and provide hardware and a network. Meanwhile, Health Centers needs to make a commitment for applying the HCMIS maximally by SHC and VHP.


2014 ◽  
Vol 72 (1) ◽  
Author(s):  
Yolaine Glèlè Ahanhanzo ◽  
Laurent T Ouedraogo ◽  
Alphonse Kpozèhouen ◽  
Yves Coppieters ◽  
Michel Makoutodé ◽  
...  

2018 ◽  
Vol 26 (2) ◽  
pp. 180
Author(s):  
Nazmun Nuri ◽  
Malabika Sarker ◽  
Helal Ahmed ◽  
Mohammad Hossain ◽  
Fekri Dureab ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document