Determinants of Reporting Rates for HIV Test-kits; A Case of Meru County

Abstract

: Many health organizations including Ministry of Health through Kenya Medical Supplies Authority have adopted reporting rates as a measure for improving health service delivery in terms of ensuring the availability of health commodities and product supply. Uninterrupted health commodity supply is determined by ensuring commodity reports are uploaded into District Health Information System 2 platform which is a national system for consolidating consumption data. It is this data that the national allocation committee uses to quantify HIV test kits required by facilities on quarterly basis. Methods: The study embraced quantitative research design where quantitative approach was used. The study target population was 260 Healthcare workers in Meru County to assess the role or the factors that affect the reporting rates of HIV test kits. The study used purposive sampling technique to sample the respondent’s i.e. Health care workers who are responsible for consolidating facility level HIV test kits reports in Meru County Therefore the sample size was 260 health care workers. The study used semi structured questionnaires and data extraction sheet to collect the data. Majority were familiar with the recommended data reporting tools (MOH 643). Results: Majority 153(, 61.2%) were familiar with the recommended reporting tools (MOH 643) (x2=101.76, p<0.05) slightly more than half of the Healthcare workers were regularly trained in the recommended data reporting tools (MOH 643 tool) 145, (58.0%) (x2=6.4, p<0.05). Approximately 101(40.4%) that recommended data reporting tools(MOH 643) is adequate in capturing the consumption data of the HIV test kits (x2=77.67, p<0.05). Most respondents indicated that the trainings were not useful compared to a third indicated that the trainings were useful.. The respondents agreed to the statement that they were aware of HIV test kits policies that are in place and the agreed that the policies were helpful at their work. The respondents agreed that they had a supervisor whom they report to in the course of their work and that their supervisor was not always available for consultation. There was strong positive relationship that was significant (p<0.05) between reporting rates and availability of the reporting tools (rho=.693, p<0.05) while a strong positive relationship existed between reporting rates and availability of Standard operating Procedure (rho=.814, p<0.05) and a strong relationship between the reporting rates and human capacity (rho=.896, p=054) and support supervision (rho=-.407, p=.053). Conclusion: presence of enough staffs, availability of Standard Operating Procedure, supportive supervision all affects reporting rates for HIV testing kits. The coefficient of determination obtained from the model was .663 and this indicated that the regression model explained only 66.3% of the factors that affected the reporting rates on consumption data of HIV test kits in the county