Factors influencing variation in implementation outcomes of the redesigned community health fund in the Dodoma region of Tanzania: a mixed-methods study.

INTRODUCTION: Micro-health insurance (MHI) has been identified as a possible interim solution to foster progress towards Universal Health Coverage (UHC) in low- and middle- income countries (LMICs). Still, MHI schemes suffer from chronically low penetration rates, especially in sub-Saharan Africa. Initiatives to promote and sustain enrolment have yielded limited effect, yet little effort has been channelled towards understanding how such initiatives are implemented. We aimed to fill this gap in knowledge by examining heterogeneity in implementation outcomes and their moderating factors within the context of the Redesigned Community Health Fund in the Dodoma region in Tanzania. METHODS: We adopted a mixed-methods design to examine implementation outcomes, defined as adoption and fidelity of implementation (FOI) as well as their moderating factors. A survey questionnaire collected individual level data and a document review checklist and in-depth interview guide collected district level data. We relied on descriptive statistics, a chi square test and thematic analysis to analyse our data. RESULTS: A review of district level data revealed high adoption (78%) and FOI (77%) supported also by qualitative interviews. In contrast, survey participants reported relatively low adoption (55%) and FOI (58%). Heterogeneity in adoption and FOI was observed across the districts and was attributed to organisational weakness or strengths, communication and facilitation strategies, resource availability (fiscal capacity, human resources and materials), reward systems, the number of stakeholders, leadership engagement, and implementer's skills. At an individual level, heterogeneity in adoption and FOI of scheme components was explained by the survey participant's level of education, occupation, years of stay in the district and duration of working in the scheme. For example, the adoption of job description was statistically associated with occupation (p = 0.001) and wworking in the scheme for more than 20 months had marginal significant association with FOI (p = 0.04). CONCLUSION: The study demonstrates that assessing the implementation processes helps to detect implementation weaknesses and therefore address such weaknesses as the interventions are implemented or rolled out to other settings. Attention to contextual and individual implementer elements should be paid in advance to adjust implementation strategies and ensure greater adoption and fidelity of implementation.

Implementation of the redesigned Community Health Fund in the Dodoma region of Tanzania: A qualitative study of views from rural communities.

The need to understand how an intervention is received by the beneficiary community is well recognised and particularly neglected in the micro-health insurance (MHI) domain. This study explored the views and reactions of the beneficiary community of the redesigned Community Health Fund (CHF) implemented in the Dodoma region of Tanzania. We collected data from focus group discussions with 24 groups of villagers (CHF members and nonmembers) and in-depth interviews with 12 key informants (enrolment officers and health care workers). The transcribed material was analysed thematically. We found that participants highly appreciate the scheme, but to be resolved are the challenges posed by the implementation strategies adopted. The responses of the community were nested within a complex pathway relating to their interaction with the implementation strategies and their ongoing reflections regarding the benefits of the scheme. Community reactions ranged from accepting to rejecting the scheme, demanding the right to receive benefit packages once enrolled, and dropping out of the scheme when it failed to meet their expectations. Reported drivers of the responses included intensity of CHF communication activities, management of enrolment procedures, delivery of benefit packages, critical features of the scheme, and contextual factors (health system and socio-political context). This study highlights that scheme design and implementation strategies that address people's needs, voices, and values can improve uptake of MHI interventions. The study adds to the knowledge base on implementing MHI initiatives and could promote interests in assessing the response to interventions within the MHI domain and beyond.

Factors affecting adoption, implementation fidelity, and sustainability of the Redesigned Community Health Fund in Tanzania: a mixed methods protocol for process evaluation in the Dodoma region.

BACKGROUND: Despite the implementation of various initiatives to address low enrollment in voluntary micro health insurance (MHI) schemes in sub-Saharan Africa, the problem of low enrollment remains unresolved. The lack of process evaluations of such interventions makes it difficult to ascertain whether their poor results are because of design failures or implementation weaknesses. OBJECTIVE: In this paper, we describe a process evaluation protocol aimed at opening the 'black box' to evaluate the implementation processes of the Redesigned Community Health Fund (CHF) program in the Dodoma region of Tanzania. DESIGN: The study employs a cross-sectional mixed methods design and is being carried out 3 years after the launch of the Redesigned CHF program. The study is grounded in a conceptual framework which rests on the Diffusion of Innovation Theory and the Implementation Fidelity Framework. The study utilizes a mixture of quantitative and qualitative data collection tools (questionnaires, focus group discussions, in-depth interviews, and document review), and aligns the evaluation to the Theory of Intervention developed by our team. Quantitative data will be used to measure program adoption, implementation fidelity, and their moderating factors. Qualitative data will be used to explore the responses of stakeholders to the intervention, contextual factors, and moderators of adoption, implementation fidelity, and sustainability. DISCUSSION: This protocol describes a systematic process evaluation in relation to the implementation of a reformed MHI. We trust that the theoretical approaches and methodologies described in our protocol may be useful to inform the design of future process evaluations focused on the assessment of complex interventions, such as MHI schemes.

Reconciling research and implementation in micro health insurance experiments in India: study protocol for a randomized controlled trial.

BACKGROUND: Microinsurance or Community-Based Health Insurance is a promising healthcare financing mechanism, which is increasingly applied to aid rural poor persons in low-income countries. Robust empirical evidence on the causal relations between Community-Based Health Insurance and healthcare utilisation, financial protection and other areas is scarce and necessary. This paper contains a discussion of the research design of three Cluster Randomised Controlled Trials in India to measure the impact of Community-Based Health Insurance on several outcomes. METHODS/DESIGN: Each trial sets up a Community-Based Health Insurance scheme among a group of micro-finance affiliate families. Villages are grouped into clusters which are congruous with pre-existing social groupings. These clusters are randomly assigned to one of three waves of implementation, ensuring the entire population is offered Community-Based Health Insurance by the end of the experiment. Each wave of treatment is preceded by a round of mixed methods evaluation, with quantitative, qualitative and spatial evidence on impact collected. Improving upon practices in published Cluster Randomised Controlled Trial literature, we detail how research design decisions have ensured that both the households offered insurance and the implementers of the Community-Based Health Insurance scheme operate in an environment replicating a non-experimental implementation. DISCUSSION: When a Cluster Randomised Controlled Trial involves randomizing within a community, generating adequate and valid conclusions requires that the research design must be made congruous with social structures within the target population, to ensure that such trials are conducted in an implementing environment which is a suitable analogue to that of a non-experimental implementing environment.

Microinsurance: innovations in low-cost health insurance.

Microinsurance--low-cost health insurance based on a community, cooperative, or mutual and self-help arrangements-can provide financial protection for poor households and improve access to health care. However, low benefit caps and a low share of premiums paid as benefits--both designed to keep these arrangements in business--perversely limited these schemes' ability to extend coverage, offer financial protection, and retain members. We studied three schemes in India, two of which are member-operated and one a commercial scheme, using household surveys of insured and uninsured households and interviews with managers. All three enrolled poor households and raised their use of hospital services, as intended. Financial exposure was greatest, and protection was least, in the commercial scheme, which imposed the lowest caps on benefits and where income was the lowest.

Willingness to pay for health insurance among rural and poor persons: field evidence from seven micro health insurance units in India.

This study, conducted in India in 2005, provides evidence on Willingness to pay (WTP), gathered through a unidirectional (descending) bidding game among 3024 households (HH) in seven locations where micro health insurance units are in operation. Insured persons reported slightly higher WTP values than uninsured. About two-thirds of the sample agreed to pay at least 1%; about half the sample was willing to pay at least 1.35%; 30% was willing to pay about 2.0% of annual HH income as health insurance premium. Nominal WTP correlates positively with income but relative WTP (expressed as percent of HH income) correlates negatively. The correlation between WTP and education is secondary to that of WTP with HH income. Household composition did not affect WTP. However, HHs that experienced a high-cost health event and male respondents reported slightly higher WTP. The observed nominal levels of WTP are higher than has been estimated hitherto.