Managing transitions from external assistance: cross-national learning about sustaining effective coverage.

The often-prominent role of external assistance in health financing in low- and middle-income countries raises the question of how such resources can enable the sustained or even expanded coverage of key health services and initiatives even after donor funding is no longer available. In response to this question, this paper analyses the process and outcomes of donor transitions in health-where countries or regions within countries are no longer eligible to receive grants or concessional loans from external sources based on eligibility criteria or change in donor policy. The comparative analysis of multiple donor transitions in four countries-China, Georgia, Sri Lanka and Uganda-identifies 16 factors related to policy actors, policy process, the content of donor-funded initiatives and the broader political-economic context that were associated with sustained coverage of previously donor supported interventions. From a contextual standpoint, these factors relate to favourable economic and political environments for domestic systems to prioritize coverage for donor-supported interventions. Clear and transparent transition processes also enabled a smoother transition. How the donor-supported initiatives and services were organized within the context of the overall health system was found to be critically important, both before and during the transition process. This includes a targeted approach to integrate, strengthen and align key elements of the governance, financing, input management and service delivery arrangements with domestic systems. The findings of this analysis have important implications for how both donors and country policy makers can better structure external assistance that enables sustained coverage regardless of the source of funding. In particular, donors can better support sustained coverage through supporting long-term structural and institutional reform, clear co-financing policies, ensuring alignment with local salary scales and engaging with communities to ensure a continued focus on equitable access post-transition.

Prevalence of dry eye disease in the low vision population at the University of Colorado.

PURPOSE: To evaluate the prevalence of diagnosed dry eye syndrome, meibomian gland dysfunction, and blepharitis amongst the low vision population. METHODS: A retrospective analysis was conducted on patients seen in the University of Colorado Low Vision Rehabilitation Service between the dates of 12/1/2017 and 12/1/2022. 74 ICD-10 codes were used to identify patients as having dry eye syndrome or not having dry eye syndrome. Data was further analyzed to determine the prevalence of blepharitis and meibomian gland dysfunction using 29 blepharitis and 9 meibomian gland dysfunction ICD-10 codes. Data were also analyzed to determine the age and sex of the patients with diagnosed dry eye syndrome. RESULTS: The percentage of patients with a diagnosis of dry eye syndrome by an eyecare provider was 38.02 %. The prevalence of dry eye syndrome by age group was 3.57 % for 0-19 years, 14.35 % for 20-39 years, 29.07 % for 40-59 years, 43.79 % for 60-79 years, and 46.21 % for 80 and above. The prevalence of meibomian gland dysfunction and blepharitis was 11.90 % and 9.1 % respectively. Dry eye syndrome prevalence amongst males was 31.59 % and 42.47 % for females. CONCLUSION: This study demonstrates that dry eye syndrome in the low vision population is a significant co-morbidity occurring in over a third of patients in the University of Colorado Low Vision Rehabilitation Service. These findings are meaningful as ocular comfort should not be overlooked while managing complex visual needs.

Determinants of government spending on primary healthcare: a global data analysis.

In 2018 global leaders renewed their political commitment to primary healthcare (PHC) ratifying the Declaration of Astana emphasising the importance of building a sustainable PHC system based on accessible and affordable delivery models strengthened by community empowerment. Yet, PHC often remains underfunded, of poor quality, unreliable and not accountable to users which further deprives PHC of funding. This paper analyses the determinants of PHC expenditure in 102 countries, and quantitatively tests the influence of a set of economic, social and political determinants of government expenditure on PHC. The analysis is focused on the determinants of PHC funding from government sources as the government is in a position to make decisions in relation to this expenditure as opposed to out-of-pocket spending which is not in their direct control. Multivariate regression analysis was done to determine statistically significant predictors.Our analysis found that some economic factors-namely Gross Domestic Product (GDP) per capita, government commitment to health and tax revenue raising capacity-were strongly associated with per capita government spending on PHC. We also found that control of corruption was strongly associated with the level of total spending on PHC, while voice and accountability were positively associated with greater government commitment to PHC as measured by government spending on PHC as a share of total government health spending.Our analysis takes a step towards understanding of the drivers of PHC expenditure beyond the level of national income. Some of these drivers may be beyond the remit of health policy decision makers and relate to broader governance arrangements and political forces in societies. Thus, efforts to prioritise PHC in the health agenda and increase PHC expenditure should recognise the constraints within the political landscapes and engage with a wide range of actors who influence decisions affecting the health sector.

Examining multiple funding flows to public healthcare providers in low- and middle-income countries - results from case studies in Burkina Faso, Kenya, Morocco, Nigeria, Tunisia and Vietnam.

Provider payment methods are traditionally examined by appraising the incentive signals inherent in individual payment mechanisms. However, mixed payment arrangements, which result in multiple funding flows from purchasers to providers, could be better understood by applying a systems approach that assesses the combined effects of multiple payment streams on healthcare providers. Guided by the framework developed by Barasa et al. (2021) (Barasa E, Mathauer I, Kabia E et al. 2021. How do healthcare providers respond to multiple funding flows? A conceptual framework and options to align them. Health Policy and Planning  36: 861-8.), this paper synthesizes the findings from six country case studies that examined multiple funding flows and describes the potential effect of multiple payment streams on healthcare provider behaviour in low- and middle-income countries. The qualitative findings from this study reveal the extent of undesirable provider behaviour occurring due to the receipt of multiple funding flows and explain how certain characteristics of funding flows can drive the occurrence of undesirable behaviours. Service and resource shifting occurred in most of the study countries; however, the occurrence of cost shifting was less evident. The perceived adequacy of payment rates was found to be the strongest driver of provider behaviour in the countries examined. The study results indicate that undesirable provider behaviours can have negative impacts on efficiency, equity and quality in healthcare service provision. Further empirical studies are required to add to the evidence on this link. In addition, future research could explore how governance arrangements can be used to coordinate multiple funding flows, mitigate unfavourable consequences and identify issues associated with the implementation of relevant governance measures.

Budget monitoring, accountability practices and their influence on the efficiency of county health systems in Kenya.

Public Finance Management (PFM) practices influence the attainment of health system goals. PFM processes are implemented within the budget cycle which entails the formulation, execution, and monitoring of government budgets. Budget monitoring and accountability actors, structures, and processes are important in improving the efficiency of health systems. This study examined how the budget monitoring and accountability processes influence the efficiency of county health systems in KenyaWe conducted a qualitative case study of four counties in Kenya selected based on their relative technical efficiency. We collected data using in-depth interviews with health and finance stakeholders (n = 70), and document reviews. We analyzed data using a thematic approach, informed by our study conceptual framework. We found that weak budget monitoring and accountability mechanisms compromised county health system efficiency by a) weakening the effective implementation of the budget formulation and execution steps of the budget cycle, b) enabling the misappropriation of public resources, and c) limiting evidence-informed decision-making by weakening feedback that would be provided by effective monitoring and accountability. Devolution meant that accountability actors were closer to implementation actors which promoted timely problem solving and the relevance of solutions. Internal audit practices were supportive and provided useful feedback to health system managers that facilitated improvements in budget formulation and execution. The efficiency of county health systems can be improved by strengthening the budget monitoring and accountability processes. This can be achieved by increasing the population's budget literacy, supporting participatory budgeting, synchronizing performance and financial accountability, implementing the existent budget monitoring and accountability mechanisms, rewarding efficiency, and sanctioning inefficiency.

Evaluating the effectiveness of the National Health Insurance Fund in providing financial protection to households with hypertension and diabetes patients in Kenya.

BACKGROUND: Non-communicable diseases (NCDs) can impose a substantial financial burden to households in the absence of an effective financial risk protection mechanism. The national health insurance fund (NHIF) has included NCD services in its national scheme. We evaluated the effectiveness of NHIF in providing financial risk protection to households with persons living with hypertension and/or diabetes in Kenya. METHODS: We carried out a prospective cohort study, following 888 households with at least one individual living with hypertension and/or diabetes for 12 months. The exposure arm comprised households that are enrolled in the NHIF national scheme, while the control arm comprised households that were not enrolled in the NHIF. Study participants were drawn from two counties in Kenya. We used the incidence of catastrophic health expenditure (CHE) as the outcome of interest. We used coarsened exact matching and a conditional logistic regression model to analyse the odds of CHE among households enrolled in the NHIF compared with unenrolled households. Socioeconomic inequality in CHE was examined using concentration curves and indices. RESULTS: We found strong evidence that NHIF-enrolled households spent a lower share (12.4%) of their household budget on healthcare compared with unenrolled households (23.2%) (p = 0.004). While households that were enrolled in NHIF were less likely to incur CHE, we did not find strong evidence that they are better protected from CHE compared with households without NHIF (OR = 0.67; p = 0.47). The concentration index (CI) for CHE showed a pro-poor distribution (CI: -0.190, p < 0.001). Almost half (46.9%) of households reported active NHIF enrolment at baseline but this reduced to 10.9% after one year, indicating an NHIF attrition rate of 76.7%. The depth of NHIF cover (i.e., the share of out-of-pocket healthcare costs paid by NHIF) among households with active NHIF was 29.6%. CONCLUSION: We did not find strong evidence that the NHIF national scheme is effective in providing financial risk protection to households with individuals living with hypertension and/diabetes in Kenya. This could partly be explained by the low depth of cover of the NHIF national scheme, and the high attrition rate. To enhance NHIF effectiveness, there is a need to revise the NHIF benefit package to include essential hypertension and/diabetes services, review existing provider payment mechanisms to explicitly reimburse these services, and extend the existing insurance subsidy programme to include individuals in the informal labour market.

Examining the influence of health sector coordination on the efficiency of county health systems in Kenya.

BACKGROUND: Health systems are complex, consisting of multiple interacting structures and actors whose effective coordination is paramount to enhancing health system goals. Health sector coordination is a potential source of inefficiency in the health sector. We examined how the coordination of the health sector affects health system efficiency in Kenya. METHODS: We conducted a qualitative cross-sectional study, collecting data at the national level and in two purposely selected counties in Kenya. We collected data using in-depth interviews (n = 37) with national and county-level respondents, and document reviews. We analyzed the data using a thematic approach. RESULTS: The study found that while formal coordination structures exist in the Kenyan health system, duplication, fragmentation, and misalignment of health system functions and actor actions compromise the coordination of the health sector. These challenges were observed in both vertical (coordination within the ministry of health, within the county departments of health, and between the national ministry of health and the county department of health) and horizontal coordination mechanisms (coordination between the ministry of health or the county department of health and non-state partners, and coordination among county governments). These coordination challenges are likely to impact the efficiency of the Kenyan health system by increasing the transaction costs of health system functions. Inadequate coordination also impairs the implementation of health programmes and hence compromises health system performance. CONCLUSION: The efficiency of the Kenyan health system could be enhanced by strengthening the coordination of the Kenyan health sector. This can be achieved by aligning and harmonizing the intergovernmental and health sector-specific coordination mechanisms, strengthening the implementation of the Kenya health sector coordination framework at the county level, and enhancing donor coordination through common funding arrangements and integrating vertical disease programs with the rest of the health system. The ministry of health and county departments of health should also review internal organizational structures to enhance functional and role clarity of organizational units and staff, respectively. Finally, counties should consider initiating health sector coordination mechanisms between counties to reduce the fragmentation of health system functions across neighboring counties.

The stated preferences of community-based volunteers for roles in the prevention of violence against women and girls in Ghana: A discrete choice analysis.

Violence against women and girls (VAWG) is a human rights violation with substantial health-related consequences. Interventions to prevent VAWG, often implemented at the community level by volunteers, have been proven effective and cost-effective. One such intervention is the Rural Response System in Ghana, a volunteer-run program which hires community based action teams (COMBATs) to sensitise the community about VAWG and to provide counselling services in rural areas. To increase programmatic impact and maximise the retention of these volunteers, it is important to understand their preferences for incentives. We conducted a discrete choice experiment (DCE) among 107 COMBAT volunteers, in two Ghanaian districts in 2018, to examine their stated preferences for financial and non-financial incentives that could be offered in their roles. Each respondent answered 12 choice tasks, and each task comprised four hypothetical volunteering positions. The first three positions included different levels of five role attributes. The fourth option was to cease volunteering as a COMBAT volunteer (opt-out). We found that, overall, COMBAT volunteers cared most for receiving training in volunteering skills and three-monthly supervisions. These results were consistent between multinomial logit, and mixed multinomial logit models. A three-class latent class model fitted our data best, identifying subgroups of COMBAT workers with distinct preferences for incentives: The younger 'go getters'; older 'veterans', and the 'balanced bunch' encompassing the majority of the sample. The opt-out was chosen only 4 (0.3%) times. Only one other study quantitatively examined the preferences for incentives of VAWG-prevention volunteers using a DCE (Kasteng et al., 2016). Understanding preferences and how they vary between sub-groups can be leveraged by programme managers to improve volunteer motivation and retention. As effective VAWG-prevention programmes are scaled up from small pilots to the national level, data on volunteer preferences may be useful in improving volunteer retention.

Comparing estimates of household expenditures between pictorial diaries and surveys in three low- and middle-income countries.

In most low- and middle-income countries (LMICs), household out-of-pocket (OOP) health spending constitutes a major source of healthcare financing. Household surveys are commonly used to monitor OOP health spending, but are prone to recall bias and unable to capture seasonal variation, and may underestimate expenditure-particularly among households with long-term chronic health conditions. Household expenditure diaries have been developed as an alternative to overcome the limitations of surveys, and pictorial diaries have been proposed where literacy levels may render traditional diary approaches inappropriate. This study compares estimates for general household and chronic healthcare expenditure in South Africa, Tanzania and Zimbabwe derived using survey and pictorial diary approaches. We selected a random sub-sample of 900 households across urban and rural communities participating in the Prospective Urban and Rural Epidemiology study. For a range of general and health-specific categories, OOP expenditure estimates use cross-sectional survey data collected via standardised questionnaire, and data from these same households collected via two-week pictorial diaries repeated four times over 2016-2019. In all countries, average monthly per capita expenditure on food, non-food/non-health items, health, and consequently, total household expenditure reported by pictorial diaries was consistently higher than that reported by surveys (each p<0.001). Differences were greatest for health expenditure. The share of total household expenditure allocated to health also differed by method, accounting for 2% in each country when using survey data, and from 8-20% when using diary data. Our findings suggest that the choice of data collection method may have significant implications for estimating OOP health spending and the burden it places on households. Despite several practical challenges to their implementation, pictorial diaries offer a method to assess potential bias in surveys or triangulate data from multiple sources. We offer some practical guidance when considering the use of pictorial diaries for estimating household expenditure.

Examining the influence of budget execution processes on the efficiency of county health systems in Kenya.

Public financial management (PFM) processes are a driver of health system efficiency. PFM happens within the budget cycle which entails budget formulation, execution and accountability. At the budget execution phase, budgets are implemented by spending as planned to generate a desired output or outcome. Understanding how the budget execution processes influence the use of inputs and the outcomes that result is important for maximizing efficiency. This study sought to explain how the budget execution processes influence the efficiency of health systems, an area that is understudied, using a case study of county health systems in Kenya. We conducted a concurrent mixed methods case study using counties classified as relatively efficient (n = 2) and relatively inefficient (n = 2). We developed a conceptual framework from a literature review to guide the development of tools and analysis. We collected qualitative data through document reviews and in-depth interviews (n = 70) with actors from health and finance sectors at the national and county level. We collected quantitative data from secondary sources, including budgets and budget reports. We analysed qualitative data using the thematic approach and carried out descriptive analyses on quantitative data. The budget execution processes within counties in Kenya were characterized by poor budget credibility, cash disbursement delays, limited provider autonomy and poor procurement practices. These challenges were linked to an inappropriate input mix that compromised the capacity of county health systems to deliver health-care services, misalignment between county health needs and the use of resources, reduced staff motivation and productivity, procurement inefficiencies and reduced county accountability for finances and performance. The efficiency of county health systems in Kenya can be enhanced by improving budget credibility, cash disbursement processes, procurement processes and provider autonomy.

Analysing the Efficiency of Health Systems: A Systematic Review of the Literature.

BACKGROUND: Efficiency refers the use of resources in ways that optimise desired outcomes. Health system efficiency is a priority concern for policy makers globally as countries aim to achieve universal health coverage, and face the additional challenge of an aging population. Efficiency analysis in the health sector has typically focused on the efficiency of healthcare facilities (hospitals, primary healthcare facilities), with few studies focusing on system level (national or sub-national) efficiency. We carried out a thematic review of literature that assessed the efficiency of health systems at the national and sub-national level. METHODS: We conducted a systematic search of PubMed and Google scholar between 2000 and 2021 and a manual search of relevant papers selected from their reference lists. A total of 131 papers were included. We analysed and synthesised evidence from the selected papers using a thematic approach (selecting, sorting, coding and charting collected data according to identified key issues and themes). FINDINGS: There were more publications from high- and upper middle-income countries (53%) than from low-income and lower middle-income countries. There were also more publications focusing on national level (60%) compared to sub-national health systems' efficiency. Only 6% of studies used either qualitative methods or mixed methods while 94% used quantitative approaches. Data envelopment analysis, a non-parametric method, was the most common methodological approach used, followed by stochastic frontier analysis, a parametric method. A range of regression methods were used to identify the determinants of health system efficiency. While studies used a range of inputs, these generally considered the building blocks of health systems, health risk factors, and social determinants of health. Outputs used in efficiency analysis could be classified as either intermediate health service outputs (e.g., number of health facility visits), single health outcomes (e.g., infant mortality rate) or composite indices of either intermediate outputs of health outcomes (e.g., Health Adjusted Life Expectancy). Factors that were found to affect health system efficiency include demographic and socio-economic characteristics of the population, macro-economic characteristics of the national and sub-national regions, population health and wellbeing, the governance and political characteristics of these regions, and health system characteristics. CONCLUSION: This review highlights the limited evidence on health system efficiency, especially in low- and middle-income countries. It also reveals the dearth of efficiency studies that use mixed methods approaches by incorporating qualitative inquiry. The review offers insights on the drivers of the efficiency of national and sub-national health systems, and highlights potential targets for reforms to improve health system efficiency.

Low Vision Referral Patterns in Intermediate Age-Related Macular Degeneration.

PURPOSE: Sparse data exist regarding low vision (LV) services referral patterns. We retrospectively examined our institution's intermediate age-related macular degeneration (iAMD) patients to determine factors influencing referral. METHODS: We compared visual acuity (VA) and Visual Function Questionnaire (VFQ-25) composite and subscale scores for referred and non-referred iAMD patients. VA was collected at time of referral or most recent visit, and VFQ-25 was taken upon enrollment into the registry. RESULTS: Thirty-six (15.5%) of the 232 iAMD patients were referred to LV. Referred patients were more likely to have older age, worse VA in both eyes, and lower VFQ-25 scores. Univariate analysis of VFQ-25 subscales demonstrated worse scores in general vision, near, distance, mental health, role limitations, dependency, and driving. Multivariable analysis revealed lower scores in general health, general vision, and driving. Forty-eight percent of non-referred patients had VA or VFQ-25 composite scores at least as poor as the median for referred patients. Two-thirds of patients who were not referred had no discernable obstacle to referral. CONCLUSIONS: Our institution refers patients with worse objective and functioning vision, but more patients may benefit from referral. Future studies should identify metrics to prompt referral and evaluate this approach.

Healthcare clinic and pharmacy chains in Kenya and Nigeria: A qualitative exploration of the opportunities and risks they present for healthcare regulatory systems.

BACKGROUND: Regulating fragmented healthcare markets is a major challenge in low- and middle-income countries. Although a recent transformation towards consolidation could improve regulatory efficiency, there are concerns over risks to client safety and market functioning. We investigated market consolidation through the emergence of clinic and pharmacy chains in Kenya and Nigeria and explored resultant regulatory opportunities and risks. METHODS: The study was conducted in Nairobi Kenya and Abuja Nigeria. Data were collected through document reviews and 26 interviews with chain operators, professional associations and regulators between September and December 2018. A thematic analysis was conducted. RESULTS: We characterised two broad types of chains: organic chains that started as single business locations and expanded gradually, and investor-driven chains that expanded rapidly following external capital injection. In both countries, chains and independents were regulated similarly, with regulators failing to both capitalize on opportunities and guard against risks. For instance, chains' brand visibility and centralised management systems made them easier to regulate and more suitable for self-regulation. On the other hand, chains were perceived to pose the risks of market dominance, commercialisation of healthcare, and regulatory capture. CONCLUSION: As healthcare chains expand, regulators should build on opportunities presented and guard against emerging risks.

Management of human resources for health: implications for health systems efficiency in Kenya.

BACKGROUND: Human resources for health consume a substantial share of healthcare resources and determine the efficiency and overall performance of health systems. Under Kenya's devolved governance, human resources for health are managed by county governments. The aim of this study was to examine how the management of human resources for health influences the efficiency of county health systems in Kenya. METHODS: We conducted a case study using a mixed methods approach in two purposively selected counties in Kenya. We collected data through in-depth interviews (n = 46) with national and county level HRH stakeholders, and document and secondary data reviews. We analyzed qualitative data using a thematic approach, and quantitative data using descriptive analysis. RESULTS: Human resources for health in the selected counties was inadequately financed and there were an insufficient number of health workers, which compromised the input mix of the health system. The scarcity of medical specialists led to inappropriate task shifting where nonspecialized staff took on the roles of specialists with potential undesired impacts on quality of care and health outcomes. The maldistribution of staff in favor of higher-level facilities led to unnecessary referrals to higher level (referral) hospitals and compromised quality of primary healthcare. Delayed salaries, non-harmonized contractual terms and incentives reduced the motivation of health workers. All of these effects are likely to have negative effects on health system efficiency. CONCLUSIONS: Human resources for health management in counties in Kenya could be reformed with likely positive implications for county health system efficiency by increasing the level of funding, resolving funding flow challenges to address the delay of salaries, addressing skill mix challenges, prioritizing the allocation of health workers to lower-level facilities, harmonizing the contractual terms and incentives of health workers, and strengthening monitoring and supervision.

Linking health worker motivation with their stated job preferences: A hybrid choice analysis in Ethiopia.

Understanding health worker job preferences can help policymakers better align incentives to retain a motivated workforce in the public sector. However, in stated preference choice modelling, health worker motivation to do their jobs has not been incorporated, perhaps surprisingly, as an important antecedent to health worker job choices. This paper is the first application of a hybrid choice model to measure the extent to which variations in the job preferences of community health workers (CHWs) can be explained by multidimensional motivation. We interviewed 202 CHWs in Ethiopia in 2019. Motivation was assessed quantitatively using a series of thirty questions, on a five-point Likert scale. Stated preferences for hypothetical jobs were captured using an unlabelled discrete choice experiment. We estimated three models and explored which best fitted choice data. We found that the hybrid choice model fitted better than simpler choice models and provides additional behavioural insight into the preferences of CHWs. Intrinsically motivated CHWs had strong disutility towards a higher than average salary, but preferred good facility quality and good health outcomes. On the contrary, CHWs who were assessed to be extrinsically motivated had disutility attached to a heavy workload and preferred higher than average salaries. We show a link between heterogeneity in the job preferences of CHWs and their motivation, demonstrating that its important for policy makers and managers to understand this link in order to get health workers to exert more effort in return for the right incentives and to retain a motivated workforce in the long run.