Assessing the Influence of Process Interventions of Community Health Volunteers on Use of Community Based Health Management Information Systems in Selected Counties, Kenya.
| dc.contributor.author | Mambo, Susan Njoki | |
| dc.contributor.author | Odhiambo-Otieno, George W. | |
| dc.contributor.author | Ochieng’-Otieno, George | |
| dc.contributor.author | Tenambergen, Mwaura Wanja | |
| dc.date.accessioned | 2024-11-05T05:37:28Z | |
| dc.date.available | 2024-11-05T05:37:28Z | |
| dc.date.issued | 2018-08 | |
| dc.description.abstract | The World Health Organization (WHO) identified information as one of the six key pillars of an effective health system. In this context, the need to strengthen community health information has been felt globally. African countries have faced the greatest challenges in collecting, analyzing, evaluating and interpreting indicator data to guide evidence based policy-making. The generation of health information starts at the community level through the Community-Based health information system (CbHMIS) (Kaburu, Kaburi, & Okero, 2016). At the community level, this source of information is complete in coverage and in planning and action-oriented (Odhiambo-Otieno, 2005). High health threats characterized by low levels of life expectancy, deteriorating healthcare facilities, high disease incidences, high levels of infant mortality (73/1000) and maternal mortality (488/100,000) specifically on communicable diseases are currently facing Kenya (Flora, Margaret, & Dan, 2017). The importance of effective information use is still a key impediment to these problems, hence affecting greatly the health care service delivery at all levels, and the worst level in its information use is level 1 – the community. In Kenya, According to a situation analysis on the state of Community Health Services in year 2014, the functionality of CbHIS was said to be at 64% which came down considerably to 55% in year 2015 documented by USAID, and that access to quality data was not guaranteed through the current CbHMIS. Some known and assumed barriers include: lack of proper processes, lack of physical access, lack of awareness of what is available; lack of relevance of available information (i.e. not meeting peoples' needs in terms of scope, style or format); lack of time and incentives to access information; and lack of interpretation skills (Flora et al., 2017). Processes forms an integral part of performance (Aqil et al., 2009). In Kenya, the Kenyan Health Information System has had several weaknesses which include weak linkages, data sharing, inadequate feedback, and lack of an operational CBHMIS manual, among others. The purpose of the study was to assess the influence of process interventions of the CHVs on CBHIS use in Kiambu, Kajiado and Nairobi Counties, Kenya. The study objectives were to 1. examine the influence community units assesments on CbHMIS use; 2. Assess the influence of feedback on CbHMIS use; 3. Assess dialogue and action days influence on CbHMIS use; 4. Determine the influence of reporting channels on CbHMIs use. A cross-sectional analytical study design was adopted, utilizing both quantitative and qualitative approaches. The target population was 156 active CUs from the 3 counties, from whence a total sample of 122 CUswasderived. Multistage sampling was used to identify the CUs, and systematic random sampling to identify 366 respondents. One Focus Group Discussion with the members of the community health committees and two Key Informant Interviews (KIIs) were conducted in each of the three counties. The respondents in the KIIs were County Community Strategy Coordinators and Sub-county Community Strategy Officers. Quantitative data was analyzed using SPSS to generate univariate and bivariate analysis at p<0.05 significance level and results were presented in form of graphs, frequency tables, figures, and narration. Qualitative data was analyzed using content analysis based on key themes generated from the objectives. Majority were Females 72.4% n=265; majority attained secondary level education 42.6% (n=156); Non-formal occupation stood at 84.7% (n=310); Use of CBHMIS stood at 56.6% (n=207). Process interventions, 36% of the respondents agreed that the Sub-county team and CU leadership are quick to act on the feedback of our MIS reports. Process interventions (X4) explains 67.4% of total variation in CbHMIS use. (R2 = .674). Attention should be given to reporting channels by ensuring that CUs are technologically enabled to be reporting in a timely manner The study recommends that CUs should be provided with enabling technology and further capacity development in technical, computer and electronic reporting skills | |
| dc.identifier.issn | ISSN 2250-3153 | |
| dc.identifier.uri | https://repository.ru.ac.ke/handle/123456789/1375 | |
| dc.language.iso | en | |
| dc.publisher | International Journal of Scientific and Research Publications | |
| dc.relation.ispartofseries | Volume 8, Issue 8, | |
| dc.subject | Process interventions | |
| dc.subject | Community Health Volunteers | |
| dc.subject | Community based Health Management Information Systems | |
| dc.subject | Use | |
| dc.title | Assessing the Influence of Process Interventions of Community Health Volunteers on Use of Community Based Health Management Information Systems in Selected Counties, Kenya. | |
| dc.type | Article |