Non-public Facilities Research Articles

Health systems' capacity in availability of human resource for health towards implementation of Universal Health Coverage in Kenya.

Kenya faces significant challenges related to health worker shortages, low retention rates, and the equitable distribution of Human Resource for Health (HRH). The Ministry of Health (MOH) in Kenya has established HRH norms and standards that define the minimum requirements for healthcare providers and infrastructure at various levels of the health system. The study assessed on the progress of Universal Health Coverage (UHC) piloting on Human Resource for Health in the country. The study utilized a Convergent-Parallel-Mixed-Methods design, incorporating both quantitative and qualitative approaches. The study sampled diverse population groups and randomly selected health facilities. Four UHC pilot counties are paired with two non-UHC pilot counties, one neighboring county and the second county with a geographically distant and does not share a border with any UHC pilot counties. Stratification based on ownership and level was performed, and the required number of facilities per stratum was determined using the square root allocation method. Data on the availability of human resources for health was collected using a customized Kenya Service Availability and Readiness Assessment Mapping (SARAM) tool facilitated by KoBo ToolKitTM open-source software. Data quality checks and validation were conducted, and the HRH general service availability index was measured on availability of Nurses, Clinician, Nutritionist, Laboratory technologist and Pharmacist which is a minimum requirement across all levels of health facilities. Statistical analyses were performed using IBM SPSS version 27 and comparisons between UHC pilot counties and non-UHC counties where significance threshold was established at p < 0.05. Qualitative data collected using focus group discussions and in-depth interview guides. Ethical approval and research permits were obtained, and written informed consent was obtained from all participants. The study assessed 746 health facilities with a response rate of 94.3%. Public health facilities accounted for 75% of the sample. The overall healthcare professional availability index score was 17.2%. There was no significant difference in health workers' availability between UHC pilot counties and non-UHC pilot counties at P = 0.834. Public health facilities had a lower index score of 14.7% compared to non-public facilities at 27.0%. Rural areas had the highest staffing shortages, with only 11.1% meeting staffing norms, compared to 31.8% in urban areas and 30.4% in peri-urban areas. Availability of health workers increased with the advancement of The Kenya Essential Package for Health (KEPH Level), with all Level 2 facilities across counties failing to meet MOH staffing norms (0.0%) except Taita Taveta at 8.3%. Among specific cadres, nursing had the highest availability index at 93.2%, followed by clinical officers at 52.3% and laboratory professionals at 55.2%. The least available professions were nutritionists at 21.6% and pharmacist personnel at 33.0%. This result is corroborated by qualitative verbatim. The study findings highlight crucial challenges in healthcare professional availability and distribution in Kenya. The UHC pilot program has not effectively enhanced healthcare facilities to meet the standards for staffing, calling for additional interventions. Rural areas face a pronounced shortage of healthcare workers, necessitating efforts to attract and retain professionals in these regions. Public facilities have lower availability compared to private facilities, raising concerns about accessibility and quality of care provided. Primary healthcare facilities have lower availability than secondary facilities, emphasizing the need to address shortages at the community level. Disparities in the availability of different healthcare cadres must be addressed to meet diverse healthcare needs. Overall, comprehensive interventions are urgently needed to improve access to quality healthcare services and address workforce challenges.

Health care seeking behaviour and financial protection of patients with hypertension: A cross-sectional study in rural West Bengal, India.

BackgroundElevated blood pressure or hypertension is responsible for around 10 million annual deaths globally, and people residing in low and middle-income countries are disproportionately affected by it. India is no exception, where low rate of treatment seeking for hypertension coupled with widespread out-of-pocket payments (OOPs) have been a challenge. This study assessed the pattern of health care seeking behaviour and financial protection along with the associated factors among hypertensive individuals in rural West Bengal, India.Method and findingsA cross-sectional study was conducted in Birbhum district of the state of West Bengal, India, during 2017–2018, where 300 individuals were recruited randomly from a list of hypertensives in a population cohort. Healthcare seeking for hypertension and related financial protection in terms of–OOPs and expenses relative to monthly per-capita family expenditure, were analysed. Findings indicated that 47% of hypertensives were not on treatment. Among those under treatment, 80% preferred non-public facilities, and 91% of them had wide-spread OOPs. Cost of medication was a major share of expenses followed by transportation cost to access public health care facility. Multivariable logistic regression analysis indicated longer duration of disease (adjusted odds ratio (aOR): 5.68, 95% Confidence Interval (CI) 1.24–25.99) and health care seeking from non-public establishment (aOR: 34.33, CI: 4.82–244.68) were associated with more incident of OOPs. Linear regression with generalized linear model revealed presence of co-morbidities (adjusted coefficient (aCoeff)10.28, CI: 4.96,15.61) and poorer economic groups (aCoeffpoorest 11.27, CI 3.82,18.71; aCoefflower-middle 7.83, CI 0.65,15.00 and aCoeffupper-middle 7.25, CI: 0.80,13.70) had higher relative expenditure.ConclusionThis study suggests that individuals with hypertension had poor health care seeking behaviour, preferred non-public health facilities and had suboptimal financial protection. Economically poorer individuals had higher burden of health expenditure for treatment of hypertension, which indicated gaps in equitable health care delivery for the control of hypertension.

Access and utilisation of healthcare services in rural Tanzania: A comparison of public and non-public facilities using quality, equity, and trust dimensions

ABSTRACTThis study compared the access and utilisation of health services in public and non-public health facilities in terms of quality, equity and trust in the Mbarali district, Tanzania. Interviews, focus group discussions, and informal discussions were used to generate data. Of the 1836 respondents, 1157 and 679 respondents sought healthcare services on their last visit at public or non-public health facilities, respectively. While 45.5% rated the quality of services to be good in both types of facilities, reported medicine shortages were more pronounced among those who visited public rather than non-public health facilities (OR = 1.7, 95% CI 1.4, 2.1). Respondents who visited public facilities were 4.9 times less likely than those who visited non-public facilities to emphasise the influence of cost in accessing and utilising health care (OR = 4.9, CI 3.9–6.1). A significant difference was also found in the provider–client relationship satisfaction level between non-public (89.1%) and public facilities (74.7%) (OR = 2.8, CI: 1.5–5.0), indicating a level of lower trust in the later. Revised strategies are needed to ensure availability of medicines in public facilities, which are used by the majority of the population, while strengthening private–public partnerships to harmonise healthcare costs.

Comparison of medicine availability measurements at health facilities: evidence from Service Provision Assessment surveys in five sub-Saharan African countries

BackgroundWith growing emphasis on health systems strengthening in global health, various health facility assessment methods have been used increasingly to measure medicine and commodity availability. However, few studies have systematically compared estimates of availability based on different definitions. The objective of this study was to compare estimates of medicine availability based on different definitions.MethodsA secondary data analysis was conducted using data from the Service Provision Assessment (SPA) – a nationally representative sample survey of health facilities – conducted in five countries: Kenya SPA 2010, Namibia SPA 2009, Rwanda SPA 2007, Tanzania SPA 2006, and Uganda SPA 2007. For 32 medicines, percent of facilities having the medicine were estimated using five definitions: four for current availability and one for six-month period availability. ‘Observed availability of at least one valid unit’ was used as a reference definition, and ratios between the reference and each of the other four estimates were calculated. Summary statistics of the ratios among the 32 medicines were calculated by country. The ratios were compared further between public and non-public facilities within each country.ResultsAcross five countries, compared to current observed availability of at least one valid unit, ‘reported availability without observation’ was on average 6% higher (ranging from 3% in Rwanda to 8% in Namibia), ‘observed availability where all units were valid’ was 11% lower (ranging from 2% in Tanzania to 19% in Uganda), and ‘six-month period availability’ was 14% lower (ranging from 5% in Namibia to 25% in Uganda).ConclusionsMedicine availability estimates vary substantially across definitions, and need to be interpreted with careful consideration of the methods used.

Factors related to job stability of direct-care staff of residential facilities for mentally retarded people.

Direct-care staff turnover has frequently been cited as a major problem in the management of both public and nonpublic residential facilities. This article reports on a follow-up study of over 100 direct-care staff one year after an initial interview. Staff members were employees of facilities in a national, stratified random sample of public and nonpublic facilities. Demographic, experiential, job satisfaction, geographical, and institutional factors related to occupational status at the time of the follow-up are reported.