Community health workers in low- and middle-income countries: what do we know about scaling up and sustainability?

OBJECTIVES: We sought to provide a systematic review of the determinants of success in scaling up and sustaining community health worker (CHW) programs in low- and middle-income countries (LMICs). METHODS: We searched 11 electronic databases for academic literature published through December 2010 (n = 603 articles). Two independent reviewers applied exclusion criteria to identify articles that provided empirical evidence about the scale-up or sustainability of CHW programs in LMICs, then extracted data from each article by using a standardized form. We analyzed the resulting data for determinants and themes through iterated categorization. RESULTS: The final sample of articles (n = 19) present data on CHW programs in 16 countries. We identified 23 enabling factors and 15 barriers to scale-up and sustainability, which were grouped into 3 thematic categories: program design and management, community fit, and integration with the broader environment. CONCLUSIONS: Scaling up and sustaining CHW programs in LMICs requires effective program design and management, including adequate training, supervision, motivation, and funding; acceptability of the program to the communities served; and securing support for the program from political leaders and other health care providers.

Scaling up of breastfeeding promotion programs in low- and middle-income countries: the "breastfeeding gear" model.

Breastfeeding (BF) promotion is one of the most cost-effective interventions to advance mother-child health. Evidence-based frameworks and models to promote the effective scale up and sustainability of BF programs are still lacking. A systematic review of peer-reviewed and gray literature reports was conducted to identify key barriers and facilitators for scale up of BF programs in low- and middle-income countries. The review identified BF programs located in 28 countries in Africa, Latin America and the Caribbean, and Asia. Study designs included case studies, qualitative studies, and observational quantitative studies. Only 1 randomized, controlled trial was identified. A total of 22 enabling factors and 15 barriers were mapped into a scale-up framework termed "AIDED" that was used to build the parsimonious breastfeeding gear model (BFGM). Analogous to a well-oiled engine, the BFGM indicates the need for several key "gears" to be working in synchrony and coordination. Evidence-based advocacy is needed to generate the necessary political will to enact legislation and policies to protect, promote, and support BF at the hospital and community levels. This political-policy axis in turn drives the resources needed to support workforce development, program delivery, and promotion. Research and evaluation are needed to sustain the decentralized program coordination "gear" required for goal setting and system feedback. The BFGM helps explain the different levels of performance in national BF outcomes in Mexico and Brazil. Empirical research is recommended to further test the usefulness of the AIDED framework and BFGM for global scaling up of BF programs.

A model for scale up of family health innovations in low-income and middle-income settings: a mixed methods study.

BACKGROUND: Many family health innovations that have been shown to be both efficacious and cost-effective fail to scale up for widespread use particularly in low-income and middle-income countries (LMIC). Although individual cases of successful scale-up, in which widespread take up occurs, have been described, we lack an integrated and practical model of scale-up that may be applicable to a wide range of public health innovations in LMIC. OBJECTIVE: To develop an integrated and practical model of scale-up that synthesises experiences of family health programmes in LMICs. DATA SOURCES: We conducted a mixed methods study that included in-depth interviews with 33 key informants and a systematic review of peer-reviewed and grey literature from 11 electronic databases and 20 global health agency web sites. STUDY ELIGIBILITY CRITERIA, PARTICIPANTS AND INTERVENTIONS: We included key informants and studies that reported on the scale up of several family health innovations including Depo-Provera as an example of a product innovation, exclusive breastfeeding as an example of a health behaviour innovation, community health workers (CHWs) as an example of an organisational innovation and social marketing as an example of a business model innovation. Key informants were drawn from non-governmental, government and international organisations using snowball sampling. An article was excluded if the article: did not meet the study's definition of the innovation; did not address dissemination, diffusion, scale up or sustainability of the innovation; did not address low-income or middle-income countries; was superficial in its discussion and/or did not provide empirical evidence about scale-up of the innovation; was not available online in full text; or was not available in English, French, Spanish or Portuguese, resulting in a final sample of 41 peer-reviewed articles and 30 grey literature sources. STUDY APPRAISAL AND SYNTHESIS METHODS: We used the constant comparative method of qualitative data analysis to extract recurrent themes from the interviews, and we integrated these themes with findings from the literature review to generate the proposed model of scale-up. For the systematic review, screening was conducted independently by two team members to ensure consistent application of the predetermined exclusion criteria. Data extraction from the final sample of peer-reviewed and grey literature was conducted independently by two team members using a pre-established data extraction form to list the enabling factors and barriers to dissemination, diffusion, scale up and sustainability. RESULTS: The resulting model-the AIDED model-includes five non-linear, interrelated components: (1) assess the landscape, (2) innovate to fit user receptivity, (3) develop support, (4) engage user groups and (5) devolve efforts for spreading innovation. Our findings suggest that successful scale-up occurs within a complex adaptive system, characterised by interdependent parts, multiple feedback loops and several potential paths to achieve intended outcomes. Failure to scale up may be attributable to insufficient assessment of user groups in context, lack of fit of the innovation with user receptivity, inability to address resistance from stakeholders and inadequate engagement with user groups. LIMITATIONS: The inductive approach used to construct the AIDED model did not allow for simultaneous empirical testing of the model. Furthermore, the literature may have publication bias in which negative studies are under-represented, although we did find examples of unsuccessful scale-up. Last, the AIDED model did not address long-term, sustained use of innovations that are successfully scaled up, which would require longer-term follow-up than is common in the literature. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: Flexible strategies of assessment, innovation, development, engagement and devolution are required to enable effective change in the use of family health innovations in LMIC.