Optimizing primary healthcare experience: assessing client satisfaction in Kaduna State, Northwest Nigeria.

BACKGROUND: Client satisfaction is a multidimensional construct focusing on clients' perceptions and evaluations of the treatment and care received. It is one of the factors affecting the outcomes of healthcare and the use of health services. Therefore, we aimed to assess clients' satisfaction with PHC services in Kaduna State, Northwest Nigeria. METHODOLOGY: A cross-sectional descriptive study was conducted in Kaduna State, Northwest, Nigeria which evaluate the satisfaction of clients and caregivers accessing healthcare in PHC centres. A sample size of 217 was determined using Fisher's formula, with a multi-stage sampling technique used to randomly select eligible respondents, who have accessed at least a PHC service in any of the PHCs in the State were included in the study, A semi-structured, interviewer-administered questionnaire was administered, and the data collected was analyzed using SPSS version 23.0. Appropriate statistical tests were used to examine the association between dependent and independent variables, while predictor variables that showed significant association with the outcome variables were further subjected to logistic regression analysis, to determine factors that affect clients' satisfaction with PHC services. Statistical significance was determined at an alpha level set at 0.05 at a 95% confidence interval. RESULTS: Thirty-one percent of the respondents were satisfied with PHC services in Kaduna State with a mean composite satisfaction score of 3.78 ± 0.67. Age, ethnicity, level of education, and occupational status were factors affecting clients' satisfaction with PHC services among the respondents. On multivariate analysis, age, ethnicity, educational status, and occupational status were significant factors affecting clients' satisfaction with PHC services. Clients of Hausa/Fulani extraction are one and a half times less likely to be satisfied with PHC services when compared to clients from other tribes [aOR = 1.5, 95% CI (1.21-4.67); p = 0.003]. In terms of educational status, clients with formal education are one and a one-third times more likely to be satisfied [aOR = 1.3, 95% CI (0.17-0.94)] with PHC service when compared with their counterparts with informal education (p = 0.034). CONCLUSION: Clients' satisfaction with PHC services in Kaduna State, Northwest Nigeria was sub-optimal. Healthcare providers were recommended to improve their attitude bearing in mind clients' peculiarities.

Role of digital health insurance management systems in scaling health insurance coverage in low- and Middle-Income Countries: A case study from Nigeria.

Background: Increasing global commitment to Universal Health Coverage (UHC) in the past decade has triggered UHC-inspired reforms and investments to expand health service coverage in many Low- and Middle-Income Countries (LMICs). UHC aims to ensure that all people can access quality health services, safeguard them from public health risks and impoverishment from out-of-pocket payments for healthcare when household members are sick. Aim: This paper reviews the role of health insurance as a policy tool to address health financing as a contributory mechanism for accelerating the achievement of UHC in LMICs. We focus on Nigeria's legal framework for health insurance coverage for its whole population and the role of technology in facilitating enrollment to health insurance schemes. Methods: From May to July 2022, we adopted a cross-sectional case study design combining: (i) a literature review of the effects of UHC with (ii) document analysis of health insurance systems in Nigeria, and (iii) secondary analysis of health insurance datasets to understand experiences of deploying MedStrat, a locally-developed digital health insurance management system, and its features that support the administration of health insurance schemes in multiple states of Nigeria. We drew on contemporary technology adoption models to triangulate diverse data analyzed from literature and documents reviews and from health insurance datasets to identify: (i) enablers of adoption of digital insurance schemes, (ii) the contribution of digital technology to expanding access to health insurance, and (iii) further scalability of digital insurance intervention. Results: Preliminary findings suggests that digital insurance management systems can help to increase the number of enrollees for insurance especially among poor households. Three contextual enablers of adoption of digital insurance schemes were a favourable policy environment, public-private-partnerships, and sustained stakeholder engagement and training. Discussion and conclusion: Key elements for successful scaling of digital health insurance schemes across Nigeria and similar contexts include: (i) ease of use, (ii) existing digital infrastructure to support electronic insurance systems, and (iii) trust manifested via data encryption, maintaining audit trails for all data, and in-built fraud prevention processes. Our findings affirm that digital health technology can play a role in the attainment of UHC in LMICs.

Can training of health care workers improve data management practice in health management information systems: a case study of primary health care facilities in Kaduna State, Nigeria.

INTRODUCTION: Reliable and accurate public health information is essential for monitoring, evaluating and improving the delivery of healthcare services. The objective of this study was to assess the effect of training health care workers on data management practice in health management information systems in primary health care (PHC) centers in Kaduna state. METHODS: The study was quasi-experimental with baseline, intervention and end point components. It was carried out in two local government areas, a study and a control. Eleven PHC facilities were selected in each LGA. The intervention was carried out among 76 PHC workers in the study LGA. Data were collected using a health facility checklist and a focused group discussion (FGD) guide. Data analysis was done using SPSS version 20.0 and statistical significance of the difference between baseline and end-line data were determined using chi-square or fisher's exact test where applicable at p < 0.05. RESULTS: There was a statistically significant increase in completeness of reporting (p = 0.02), overall accuracy rate (p < 0.001), timeliness rate of reporting (p = <0.001) and feedback (p = 0.012). No improvement was found in the control group. During the baseline FGDs, PHC workers in both study and control LGAs expressed difficulty in filling registers/forms, data analysis and use of data. At end point, those in the study LGA said their practice had improved but those in the control LGA still expressed difficulty in data management. CONCLUSION: Health management information system training achieved an improvement in the data management practice of PHC workers. In-service training and re-training should be done to improve data management practice of health workers.

Barriers to utilisation of maternal health services in a semi-urban community in northern Nigeria: The clients' perspective.

BACKGROUND: Low level of utilisation of maternal health services is a major factor responsible for high maternal mortality in northwestern region of Nigeria. This study was aimed at determining the barriers to utilisation of maternal health services from the perspective of mothers in northwestern Nigeria. MATERIALS AND METHODS: A cross-sectional study of 150 mothers, selected through multistage technique, was conducted. Data were collected using a structured interviewer-administered questionnaire, and analysed using SPSS statistics 17.0. RESULTS: Only 2.7% utilised preconception service, 98.7% antenatal care service (ANC), 24.0% delivery, 35.3% postnatal care and 14.0% utilised family planning service. Major reasons for non-utilisation of delivery service were not having a delivery complication in the past (57% (CI = 47.4-66.1)) and negative provider attitude (23.7% (CI = 16.4-32.7)). For non-utilisation of postnatal care, the major reasons were also not having a postnatal complication in the past (60.8% (CI = 50.4-70.4)) and negative provider attitude (27.8% (CI = 19.4-38.0)). As for non-utilisation of family planning service, the major reason was desire to have more children (32.6% (CI = 24.7-41.4)). Reasons for non-use of preconception care and ANC were not computed because respondents to these questions were not enough; only 6 (4.0%) were aware of preconception care in the first place and only 2 (1.3%) were not using ANC. CONCLUSION: Despite living near a health facility, most of the mothers were not using maternal health services. It is recommended that while there is the need to raise awareness on the utilisation of maternal health services, bring it closer to the mothers and make it more affordable, there is a more pressing need to improve its quality, especially through the alleviation of negative attitude of health care providers.