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1.
Hum Resour Health ; 22(1): 32, 2024 May 27.
Article in English | MEDLINE | ID: mdl-38802811

ABSTRACT

BACKGROUND: Eswatini faces persistent challenges in providing care for diabetes and hypertension, exacerbated by a shortage of healthcare workers. The implementation of WHO-PEN interventions aimed to address these issues, yet their effects on healthcare worker time requirements and associated costs remain unclear. METHODS: This study employed a time-and-motion analysis and a bottom-up cost assessment to quantify the human and financial resources required for scaling up WHO-PEN interventions nationally in Eswatini for all estimated diabetic and hypertensive patients. RESULTS: Findings reveal that healthcare workers in intervention-arm clinics reported longer workday durations compared to those in control-arm clinics, yet spent less time per patient while seeing more patients. The implementation of WHO-PEN interventions increased the workload on healthcare workers but also led to a notable increase in patient care utilization. Furthermore, a morning peak in patient visits was identified, suggesting potential opportunities for optimizing patient flow. Notably, scaling up care provision nationally with WHO-PEN interventions proved to be more cost saving than expanding standard-of-care treatment. CONCLUSION: WHO-PEN interventions hold promise in improving access to diabetes and hypertension care in Eswatini while offering an efficient solution. However, addressing challenges in healthcare workforce creation and retention is crucial for sustained effectiveness. Policy makers must consider all aspects of the WHO-PEN intervention for informed decision-making. Trial registration US Clinical Trials Registry. NCT04183413. Trial registration date: December 3, 2019. https://ichgcp.net/clinical-trials-registry/NCT04183413.


Subject(s)
Diabetes Mellitus , Hypertension , Humans , Hypertension/therapy , Diabetes Mellitus/therapy , Health Personnel , Workload , World Health Organization , Time and Motion Studies , Health Services Accessibility , Male
2.
PLoS One ; 14(8): e0220558, 2019.
Article in English | MEDLINE | ID: mdl-31374083

ABSTRACT

BACKGROUND: Many low and middle-income countries are increasingly cognisant of the need to offer financial protection to its citizens through pre-payment schemes in order to curb high out of pocket expenditure and catastrophic spending on healthcare. However, there is limited rigorous contextual evidence to make decisions regarding optimal design of such schemes. This study assesses the willingness-to-pay (WTP) for the recently introduced state contributory health insurance scheme (SHIS) in Nigeria. METHODS: The study took place in 6 local government areas in Kaduna state, North-west Nigeria. Data were collected from a household survey using a three-stage cluster sampling approach, with each household having the same probability of being selected. Interviews were conducted with 4000 individuals in 1020 households. Contingent valuation was used to elicit the willing to pay (WTP) for the household using the bidding game technique. The relationship between socioeconomic status and WTP was also examined using logistic regression models. FINDINGS: About 82% of the household heads were willing to pay insurance premiums for their households, which came to an average of 513 Naira (1.68 USD) per month per person. The average amount individuals were willing to pay was lower in rural areas (611 Naira) compared to urban areas (463 Naira). These results were influenced by household size, level of education, occupation and household income. In addition, only 65% of the households had the ability to pay the average premium. CONCLUSION: Socioeconomic factors influence individuals' WTP for contributory health insurance schemes. It is important to create awareness about the benefits of the insurance scheme, especially in rural areas, and in both the formal and informal sectors in Nigeria. WTP information can inform the amount of insurance premiums. However, it is important to consider differences between the WTP and the cost of benefits package to be offered, as the premium amount may need to be subsidized with public financing.


Subject(s)
Attitude to Health , Decision Making , Health Expenditures , Insurance, Health/economics , Social Security/economics , Adult , Aged , Aged, 80 and over , Educational Status , Female , Humans , Male , Middle Aged , Nigeria , Social Class , Socioeconomic Factors , Young Adult
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