Reliability of Community Health Worker Collected Data for Planning and Policy in a Peri-Urban Area of Kisumu, Kenya

A general introduction of this article is as follows: Reliable and timely health information is an essential foundation of public health action and health systems strengthening, both nationally and internationally (Aqil et al. in Health Policy Plan 24(3): 217–228, 2009; Bradshaw et al. in initial burden of disease estimates for South Africa, 2000. South African Medical Research Council, Cape Town, 2003). The need for sound information is especially urgent in the case of emergent diseases and other acute health threats, where rapid awareness, investigation and response can save lives and prevent broader national outbreaks and even global pandemics (Aqil et al. in Health Policy Plan 24(3): 217–228, 2009). The government of Kenya, through the ministry of public health and sanitation has rolled out the community health strategy as a way of improving health care at the household level. This involves community health workers collecting health status data at the household level, which is then used for dialogue at all the levels to inform decisions and actions towards improvement in health status. A lot of health interventions have involved the community health workers in reaching out to the community, hence successfully implementing these health interventions. Large scale involvement of community health workers in government initiatives and most especially to collect health data for use in the health systems has been minimal due to the assumption that the data may not be useful to the government, because its quality is uncertain. It was therefore necessary that the validity and reliability of the data collected by community health workers be determined, and whether this kind of data can be used for planning and policy formulation for the communities from which it is collected. This would go a long way to settle speculation on whether the data collected by these workers is valid and reliable for use in determining the health status, its causes and distribution, of a community. Our general objective of this article is to investigate the validity and reliability of Community Based Information, and we deal with research question “What is the reliability of data collected at the Community level by Community health workers?”. The methods which we use to find an reliable answer to this question is “Ten percent of all households visited by CHWs for data collection were recollected by a technically trained team. Test/retest method was applied to the data to establish reliability. The Kappa score, sensitivity, specificity and positive predictive values were also used to measure reliability”. Finally our findings are as follows: Latrine availability and Antenatal care presented good correspondence between the two sets of data. This was also true for exclusive breast feeding indicator. Measles immunization coverage showed less consistency than the rest of the child health indicators. At last we conclude and recommend that CHWs can accurately and reliably collect household data which can be used for health decisions and actions especially in resource poor settings where other approaches to population based data are too expensive

The impact of leadership hubs on the uptake of evidence-informed nursing practices and workplace policies for HIV care: a quasi-experimental study in Jamaica, Kenya, Uganda and South Africa

Sherpa Romeo green journal. Open access article. Creative Commons Attribution 4.0 international License (CC BY 4.0) appliesBackground: The enormous impact of HIV on communities and health services in Sub-Saharan Africa and the Caribbean has especially affected nurses, who comprise the largest proportion of the health workforce in low-and-middle-income countries (LMICs). Strengthening action-based leadership for and by nurses is a means to improve the uptake of evidence-informed practices for HIV care. Methods: A prospective quasi-experimental study in Jamaica, Kenya, Uganda and South Africa examined the impact of establishing multi-stakeholder leadership hubs on evidence-informed HIV care practices. Hub members were engaged through a participatory action research (PAR) approach. Three intervention districts were purposefully selected in each country, and three control districts were chosen in Jamaica, Kenya and Uganda. WHO level 3, 4 and 5 health care institutions and their employed nurses were randomly sampled. Self-administered, validated instruments measured clinical practices (reports of self and peers), quality assurance, work place policies and stigma at baseline and follow-up. Standardised average scores ranging from 0 to 1 were computed for clinical practices, quality assurance and work place policies. Stigma scores were summarised as 0 (no reports) versus 1 (one or more reports). Pre-post differences in outcomes between intervention and control groups were compared using the Mantel Haenszel chi-square for dichotomised stigma scores, and independent t tests for other measures. For South Africa, which had no control group, pre-post differences were compared using a Pearson chi-square and independent t test. Multivariate analysis was completed for Jamaica and Kenya. Hub members in all countries self-assessed changes in their capacity at follow-up; these were examined using a paired t test. Results: Response rates among health care institutions were 90.2 and 80.4 % at baseline and follow-up, respectively. Results were mixed. There were small but statistically significant pre-post, intervention versus control district improvements in workplace policies and quality assurance in Jamaica, but these were primarily due to a decline in scores in the control group. There were modest improvements in clinical practices, workplace policies and quality assurance in South Africa (pre-post) (clinical practices of self—pre 0.67 (95 % CI, 0.62, 0.72) versus post 0.78 (95 % CI, 0.73–0.82), p = 0.002; workplace policies—pre 0.82 (95 % CI, 0.70, 0.85) versus post 0.87 (95 % CI, 0.84, 0.90), p = 0.001; quality assurance—pre 0.72 (95 % CI, 0.67, 0.77) versus post 0.84 (95 % CI, 0.80, 0.88)). There were statistically significant improvements in scores for nurses stigmatising patients (Jamaica reports of not stigmatising—pre-post intervention 33.9 versus 62.4 %, pre-post control 54.7 versus 64.4 %, p = 0.002—and Kenya pre-post intervention 35 versus 51.6 %, pre-post control 34.2 versus 47.8 %, p = 0.006) and for nurses being stigmatised (Kenya reports of no stigmatisation—pre-post intervention 23 versus 37.3 %, pre-post control 15.4 versus 27 %, p = 0.004). Multivariate results for Kenya and Jamaica were non-significant. Twelve hubs were established; 11 were active at follow-up. Hub members (n = 34) reported significant improvements in their capacity to address care gaps. Conclusions: Leadership hubs, comprising nurses and other stakeholders committed to change and provided with capacity building can collectively identify issues and act on strategies that may improve practice and policy. Overall, hubs did not provide the necessary force to improve the uptake of evidence-informed HIV care in their districts. If hubs are to succeed, they must be integrated within district health authorities and become part of formal, legal organisations that can regularise and sustain them.Ye

Reviewing the literature on access to prompt and effective malaria treatment in Kenya: implications for meeting the Abuja targets

<p>Abstract</p> <p>Background</p> <p>Effective case management is central to reducing malaria mortality and morbidity worldwide, but only a minority of those affected by malaria, have access to prompt effective treatment.</p> <p>In Kenya, the Division of Malaria Control is committed to ensuring that 80 percent of childhood fevers are treated with effective anti-malarial medicines within 24 hours of fever onset, but this target is largely unmet. This review aimed to document evidence on access to effective malaria treatment in Kenya, identify factors that influence access, and make recommendations on how to improve prompt access to effective malaria treatment. Since treatment-seeking patterns for malaria are similar in many settings in sub-Saharan Africa, the findings presented in this review have important lessons for other malaria endemic countries.</p> <p>Methods</p> <p>Internet searches were conducted in PUBMED (MEDLINE) and HINARI databases using specific search terms and strategies. Grey literature was obtained by soliciting reports from individual researchers working in the treatment-seeking field, from websites of major organizations involved in malaria control and from international reports.</p> <p>Results</p> <p>The review indicated that malaria treatment-seeking occurs mostly in the informal sector; that most fevers are treated, but treatment is often ineffective. Irrational drug use was identified as a problem in most studies, but determinants of this behaviour were not documented. Availability of non-recommended medicines over-the-counter and the presence of substandard anti-malarials in the market are well documented. Demand side determinants of access include perception of illness causes, severity and timing of treatment, perceptions of treatment efficacy, simplicity of regimens and ability to pay. Supply side determinants include distance to health facilities, availability of medicines, prescribing and dispensing practices and quality of medicines. Policy level factors are around the complexity and unclear messages regarding drug policy changes.</p> <p>Conclusion</p> <p>Kenya, like many other African countries, is still far from achieving the Abuja targets. The government, with support from donors, should invest adequately in mechanisms that promote access to effective treatment. Such approaches should focus on factors influencing multiple dimensions of access and will require the cooperation of all stakeholders working in malaria control.</p

An integrated rural health project in Saradidi, Kenya

In 1979 a community self help health development programme was initiated in Saradidi, Kenya, as the community's response to its problems. In line with the theoretical considerations made for the implementation of primary health care the community was involved in planning, organization, setting of priorities and objectives, implementation and evaluation of the programme. The Saradidi Health Development Project (SHDP) was initiated by people from the area with material assistance from within and outside Saradidi. Nearly 10 years since the beginning of the project, the SHDP still runs more or less on its own providing experiences for other projects and initiators.primary health care Kenya rural health programmes