Dataset Information

Applying the disability-adjusted life year to track health impact of social franchise programs in low- and middle-income countries.

ABSTRACT:

Background

Developing effective methods for measuring the health impact of social franchising programs is vital for demonstrating the value of this innovative service delivery model, particularly given its rapid expansion worldwide. Currently, these programs define success through patient volume and number of outlets, widely acknowledged as poor reflections of true program impact. An existing metric, the disability-adjusted life years averted (DALYs averted), offers promise as a measure of projected impact. Country-specific and service-specific, DALYs averted enables impact comparisons between programs operating in different contexts. This study explores the use of DALYs averted as a social franchise performance metric.

Methods

Using data collected by the Social Franchising Compendia in 2010 and 2011, we compared franchise performance, analyzing by region and program area. Coefficients produced by Population Services International converted each franchise's service delivery data into DALYs averted. For the 32 networks with two years of data corresponding to these metrics, a paired t-test compared all metrics. Finally, to test data reporting quality, we compared services provided to patient volume.

Results

Social franchising programs grew considerably from 2010 to 2011, measured by services provided (215%), patient volume (31%), and impact (couple-years of protection (CYPs): 86% and DALYs averted: 519%), but not by the total number of outlets. Non-family planning services increased by 857%, with diversification centered in Asia and Africa. However, paired t-test comparisons showed no significant increase within the networks, whether categorized as family planning or non-family planning. The ratio of services provided to patient visits yielded considerable range, with one network reporting a ratio of 16,000:1.

Conclusion

In theory, the DALYs averted metric is a more robust and comprehensive metric for social franchising than current program measures. As social franchising spreads beyond family planning, having a metric that captures the impact of a range of diverse services and allows comparisons will be increasingly important. However, standardizing reporting will be essential to make such comparisons useful. While not widespread, errors in self-reported data appear to have included social marketing distribution data in social franchising reporting, requiring clearer data collection and reporting guidelines. Differences noted above must be interpreted cautiously as a result.

SUBMITTER: Montagu D

PROVIDER: S-EPMC3684545 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

Applying the disability-adjusted life year to track health impact of social franchise programs in low- and middle-income countries.

Montagu Dominic D Ngamkitpaiboon Lek L Duvall Susan S Ratcliffe Amy A

BMC public health 20130617

<h4>Background</h4>Developing effective methods for measuring the health impact of social franchising programs is vital for demonstrating the value of this innovative service delivery model, particularly given its rapid expansion worldwide. Currently, these programs define success through patient volume and number of outlets, widely acknowledged as poor reflections of true program impact. An existing metric, the disability-adjusted life years averted (DALYs averted), offers promise as a measure ...[more]

PMID: 23902679

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Project description:INTRODUCTIONDisability and poverty are believed to operate in a cycle, with each reinforcing the other. While agreement on the existence of a link is strong, robust empirical evidence substantiating and describing this potential association is lacking. Consequently, a systematic review was undertaken to explore the relationship between disability and economic poverty, with a focus on the situation in low and middle income countries (LMICs).METHODSTen electronic databases were searched to retrieve studies of any epidemiological design, published between 1990-March 2016 with data comparing the level of poverty between people with and without disabilities in LMICs (World Bank classifications). Poverty was defined using economic measures (e.g. assets, income), while disability included both broad assessments (e.g. self-reported functional or activity limitations) and specific impairments/disorders. Data extracted included: measures of association between disability and poverty, population characteristics and study characteristics. Proportions of studies finding positive, negative, null or mixed associations between poverty and disability were then disaggregated by population and study characteristics.RESULTSFrom the 15,500 records retrieved and screened, 150 studies were included in the final sample. Almost half of included studies were conducted in China, India or Brazil (n = 70, 47%). Most studies were cross-sectional in design (n = 124, 83%), focussed on specific impairment types (n = 115, 77%) and used income as the measure for economic poverty (n = 82, 55%). 122 studies (81%) found evidence of a positive association between disability and a poverty marker. This relationship persisted when results were disaggregated by gender, measure of poverty used and impairment types. By country income group at the time of data collection, the proportion of country-level analyses with a positive association increased with the rising income level, with 59% of low-income, 67% of lower-middle and 72% of upper-middle income countries finding a positive relationship. By age group, the proportion of studies reporting a positive association between disability and poverty was lowest for older adults and highest for working-age adults (69% vs. 86%).CONCLUSIONSThere is strong evidence for a link between disability and poverty in LMICs and an urgent need for further research and programmatic/policy action to break the cycle.

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Project description:BackgroundThe objective of this review is to identify and critically evaluate the published literature on emergency medicine (EM) training programs in resource-limited health-care settings in order to provide insight for developing EM training programs in such health systems.MethodsA literature search was conducted up to the end of April 2011 using MEDLINE, EMBASE, The Cochrane Library, EBM Reviews, Healthstar and Web of Science databases, using the following search terms: Emergency Medicine, Emergency Medicine Services, Education Training Residency Programs, Emergency Medical Systems and Medical Education, without limitation to income countries as outlined in the World Bank World Trade Indicators classification 2009-2010 (World Trade Indicators Country Classification by Region and Income, July 2009-July 2010). As the intent of the review was to identify and critically evaluate the literature readily available (published) to LMICs developing EM programs, the gray literature was not searched.ResultsThe search yielded 16 articles that met the final inclusion criteria. As the majority of articles provide a narrative description of the processes and building blocks used in developing the residency programs reported, we present our results in narrative format. By providing a summary of the lessons learned to date, we hope to provide a useful starting point for other resource-limited settings interested in establishing emergency medicine specialty training programs and hope to encourage further information exchange on this matter.ConclusionsThe results of the review indicate that EM training is in its infancy in resource-constrained health-care systems. There are few detailed reports of these programs successes and limitations, including efforts to optimize graduate retention. Despite the paucity of currently published data on the development of EM residency training programs in these settings, this review demonstrates the need for encouraging further information exchange to aid in such efforts, and the authors make specific recommendations to help guide future authors on reporting on such efforts.

Dataset Information

Applying the disability-adjusted life year to track health impact of social franchise programs in low- and middle-income countries.

Background

Methods

Results

Conclusion

Publications

Applying the disability-adjusted life year to track health impact of social franchise programs in low- and middle-income countries.

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