Factors influencing health facility delivery among women of reproductive age in Lilongwe District, Malawi: a cross-section study.

Introduction: utilization of health facility for delivery could save pregnant women from avoidable maternal deaths. However, use of health facility in deliveries remains inconsistent. The main study objective was to identify factors influencing health facility delivery among women of reproductive age in Lilongwe District. Methods: a cross-sectional study using structured questionnaires administered to 210 women of reproductive age was used. Chi-square (or Fischer Exact Test), where appropriate was used to analyze data. Results: the findings of the study revealed that the level of health facility delivery in Lilongwe District is 73.8%. It revealed that 97.1% of the respondents are aware of health facility delivery and most (89.5%) prefer health worker as the best person to assist pregnant women during delivery. There is a significant association between level of knowledge (p = 0.000), the level of education (p=0.000), employment (94.7%) and religious teachings (p=0.000) with delivery in a health facility. The study further shows that more Muslim´s women (91.7%) delivered at health facility compared to their counterparts from others religions and African traditionalists (20%). Conclusion: in conclusion, the level of knowledge, age, level of education and marital status, Occupation, monthly income, and the amount spent during the past delivery, and the religious teachings influence health facility delivery. We recommend the sharing of the findings with different stakeholders in order to find the solutions and the need for dialogue with traditional chiefs and religious leaders on advocating for health facility delivery.

Evaluation of Implementation Level of Community Health Strategy and Its Influence on Uptake of Skilled Delivery in Lurambi Sub County-Kenya.

BACKGROUND: Despite the widespread application of the community health strategy (CHS) in Kenya and evidence of its effectiveness in reducing health outcomes at the household level, data from Kakamega County, of which Lurambi sub-county is part of, still showed that skilled birth delivery was at 47% against the national estimateof 62% and a target of 90%. However, there was limited evidence on the level of CHS implementation and its association with the uptake of skilled delivery. METHODS: The study employed a cross-sectional analytic design. A structured validated community unit (CU) scorecard and a household questionnaire were used to collect quantitative data from the CUs through Community Health Extension Workers (CHEWs) and at the household level through mothers with children below 1 year. A random sample of 436 mothers from all the 38 Community Units (CUs) was included. CU functionality was assessed using 17 binary indicators (scored as 1 for a positive response, 0 otherwise) and total scores were expressed as percentages. Fully functional CUs scored ≥80% and semi-functional CU scored >50 to <80%. No CU was non-functional (scored ≤50%). Data from the CUs were merged with data at the household level. Association between CU functionality and skilled delivery was assessed using multivariable binary logistic regression controlling for socio-demographic variables. Adjusted Odds Ratios (OR) and 95% Confidence Intervals (95%CI) are reported. RESULTS: A total of 38 CUs were assessed and of these, 26(68.6%) were fully functional and 12(31.4%) were semi-functional, 18(47.4%) had both household registers (MOH 513) and service delivery logbooks (MOH 514). Overall, 387(80.0%) of mothers had skilled birth deliveries, 263(68%) were from functional CUs and 124(32%) were from semi-functional CUs. Pregnant women were more likely to have skilled deliveries in fully functional CUs than semi-functional CUs (OR=1.3; 95% CI=1.1-2.4; p-value<.001). Other factors significantly associated with uptake of skilled delivery included receiving health education(OR=2.9;95%CI =1.4-6.1, p=.005), being visited at least twice by Community Health Volunteers, CHVs(OR=1.9;95%CI=1.1-3.5, p=.045), attending antenatal care clinics, ANC (OR=3.4;95%CI=1.3-3.5, p=.012), receiving advice where to deliver (OR=4.1;95%CI=1.8-9.4, p=.001). CONCLUSION: 2 out of 3 community units were fully functional, and functionality was associated with increased uptake of skilled delivery. In a fully functional CUs, Community Health Volunteers provided health education through regular visits and they were able to provide a referral to health facilities for the pregnant women. To achieve national targets for skilled deliveries and universal health coverage, there is a need to ensure CUs are fully functional.

Short structured general mental health in service training programme in Kenya improves patient health and social outcomes but not detection of mental health problems - a pragmatic cluster randomised controlled trial.

TRIAL DESIGN: A pragmatic cluster randomised controlled trial. PARTICIPANTS: Clusters were primary health care clinics on the Ministry of Health list. Clients were eligible if they were aged 18 and over. INTERVENTIONS: Two members of staff from each intervention clinic received the training programme. Clients in both intervention and control clinics subsequently received normal routine care from their health workers. OBJECTIVE: To examine the impact of a mental health inservice training on routine detection of mental disorder in the clinics and on client outcomes. OUTCOMES: The primary outcome was the rate of accurate routine clinic detection of mental disorder and the secondary outcome was client recovery over a twelve week follow up period. Randomisation: clinics were randomised to intervention and control groups using a table of random numbers. Blinding: researchers and clients were blind to group assignment. RESULTS: Numbers randomised: 49 and 50 clinics were assigned to intervention and control groups respectively. 12 GHQ positive clients per clinic were identified for follow up. Numbers analysed: 468 and 478 clients were followed up for three months in intervention and control groups respectively. OUTCOME: At twelve weeks after training of the intervention group, the rate of accurate routine clinic detection of mental disorder was greater than 0 in 5% versus 0% of the intervention and control groups respectively, in both the intention to treat analysis (p = 0.50) and the per protocol analysis (p =0.50). Standardised effect sizes for client improvement were 0.34 (95% CI = (0.01,0.68)) for the General Health Questionnaire, 0.39 ((95% CI = (0.22, 0.61)) for the EQ and 0.49 (95% CI = (0.11,0.87)) for WHODAS (using ITT analysis); and 0.43 (95% CI = (0.09,0.76)) for the GHQ, 0.44 (95% CI = (0.22,0.65)) for the EQ and 0.58 (95% CI = (0.18,0.97)) for WHODAS (using per protocol analysis). HARMS: None identified. CONCLUSION: The training programme did not result in significantly improved recorded diagnostic rates of mental disorders in the routine clinic consultation register, but did have significant effects on patient outcomes in routine clinical practice. TRIAL REGISTRATION: International Standard Randomised Controlled Trial Number Register ISRCTN53515024.

Factors determining anti-malarial drug use in a peri-urban population from malaria holoendemic region of western Kenya.

BACKGROUND: Interventions to reverse trends in malaria-related morbidity and mortality in Kenya focus on preventive strategies and drug efficacy. However, the pattern of use of anti-malarials in malaria-endemic populations, such as in western Kenya, is still poorly understood. It is critical to understand the patterns of anti-malarial drug use to ascertain that the currently applied new combination therapy to malaria treatment, will achieve sustained cure rates and protection against parasite resistance. Therefore, this cross-sectional study was designed to determine the patterns of use of anti-malarial drugs in households (n = 397) in peri-urban location of Manyatta-B sub-location in Kisumu in western Kenya. METHODS: Household factors, associated with the pattern of anti-malarials use, were evaluated. Using clusters, questionnaire was administered to a particular household member who had the most recent malaria episode (within <2 weeks) and used an anti-malarial for cure. Mothers/caretakers provided information for children aged <13 years. RESULTS: Stratification of the type of anti-malarial drugs taken revealed that 37.0% used sulphadoxine/pyrimethamine (SP), 32.0% artemisinin-based combined therapy (ACT), 11.1% anti-pyretics, 7.3% chloroquine (CQ), 7.1% quinine, 2.5% amodiaquine (AQ), while 3.0% used others which were perceived as anti-malarials (cough syrups and antibiotics). In a regression model, it was demonstrated that age (P = 0.050), household size (P = 0.047), household head (P = 0.049), household source of income (P = 0.015), monthly income (P = 0.020), duration of use (P = 0.029), dosage of drugs taken (P = 0.036), and source of drugs (P = 0.005) significantly influenced anti-malarial drug use. Overall, 38.8% of respondents used drugs as recommended by the Ministry of Health. CONCLUSION: This study demonstrates that consumers require access to correct and comprehensible information associated with use of drugs, including self-prescription. There is potential need by the Kenyan government to improve malaria care and decrease malaria-related morbidity and mortality by increasing drug affordability, ensuring that the recommended anti-malarial drugs are easily available in all government approved drug outlets and educates the local shopkeepers on the symptoms and appropriate treatment of malaria. Following a switch to ACT in national drug policy, education on awareness and behaviour change is recommended, since the efficacy of ACT alone is not sufficient to reduce morbidity and mortality due to malaria.