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Behavioral and Technical Factors Associated with Perceived Quality of HIV/AIDS Data Reported in Community Based Health Information System in Homa-Bay County, Kenya
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ogondi, Evans Otieno, George Ochieng Mwanzo, Isaac J. Koome, Gilbert |
| Copyright Year | 2018 |
| Abstract | Introduction: In Kenya, Community Based Health Information System (CBHIS) plays a pivotal role in ensuring HIV/AIDS data from grass-root and community level is collected and report for evidence-based decision-making. This information is pivotal for evidence-based planning and programming However, quality of data in CBHIS has been persistently reported to be poor. This can adversely hamper achievement of the goal of zero infections rates in the coming years. Therefore, the aim of this study was to determine factors associated with perceived quality of HIV/IDS data reported into the CBHIS in Kenya. Methods: The study used a cross-sectional study design. One stage cluster sampling was used to randomly select one hundred and thirty eight (138) active Community-Based and Faith-Based HIV/AIDS implementing Organizations representatives in Homa-Bay County. Chi-square statistical techniques were used to establish relationship between study variables and perceived quality of data. Results: More than half (58%) of the respondents ranked quality of HIV/AIDS data in the CBHIS to be of low quality. Chi-square analysis showed that level of education (p=0.001) was the only behavioural factor associated with perceived quality of data reported in CBHIS. In regards to technical factors, the analysis showed that availability of functional computers (p=0.001), and frequent Data Quality Checks (p=0.001) were statistically significant in explaining the variations in HIV/AIDS data quality. Conclusion: Perceived quality of HIV/AIDS data in CBHIS is influenced by staff education level, availability of computers and performance of data quality checks. There is need to institutionalizing frequent data quality checks and computerization of information systems to improve quality of data reported in the CBHIS. In addition, data staff recruitment should take into account staff educational qualification. |
| File Format | PDF HTM / HTML |
| DOI | 10.29322/ijsrp.8.11.2018.p8373 |
| Volume Number | 8 |
| Alternate Webpage(s) | http://www.ijsrp.org/research-paper-1118/ijsrp-p8373.pdf |
| Alternate Webpage(s) | https://doi.org/10.29322/ijsrp.8.11.2018.p8373 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
