A Practical Guide to Using the Positive Deviance Method in Health Services Research

Rose, Adam J.; McCullough, Megan

doi:10.1111/1475-6773.12524

Cited by 67 publications

(74 citation statements)

References 30 publications

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“…A follow-up study, with direct observation of care at sites whose temporal patterns of care are markedly more or less regular than predicted, could shed light on how this phenomenon occurs. 23 Third, this study only used data from Medicare FFS beneficiaries, all of whom received primary care from FQHC sites. It is not clear how these phenomena would translate to other individuals.…”

Section: Discussionmentioning

confidence: 99%

Primary Care Visit Regularity and Patient Outcomes: an Observational Study

et al. 2018

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Section: Discussionmentioning

confidence: 99%

Primary Care Visit Regularity and Patient Outcomes: an Observational Study

et al. 2018

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“…These numbers suggest that it may be fruitful to assess the economic benefits of family preventative interventions, both with cost-effectiveness and benefit-cost analyses. Some programs have been evaluated along these lines, and positive outcomes have been found (e.g., Rose & McCullough, 2017;Waldrop, 2014), but most preventative interventions have not been evaluated for their economic benefits (Spoth, 2008). That said, research indicates that every dollar spent for preventive interventions returns $2 to $42 in future costs, summing to a savings of as much as $31,000 per participant (Catalano et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

Family Life Education: Translational Family Science in Action

Darling¹,

Cassidy

Rehm³

2017

Family Relations

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Translational family science lies at the intersection of family research and the practice of family life education (FLE). Discussion of the foundational principles of FLE (education, prevention, strengths‐based, and research and theory‐based) and its key components (culture, context, content, and practice) provide a framework for considering the reciprocal relationship between family science and family life education in the context of translational family science. Further discussion is provided regarding possible barriers to progress and the need to better integrate discovery science and practice science.

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“…[1][2][3][4] Persons facing social or economic obstacles to good health may nevertheless practise health-promoting behaviours when those behaviours are viewed as acceptable, affordable, effective and consistent with local culture. [5][6][7] In this study, we extend the idea of positive deviance from characteristics of individuals to those of communities 8 and hypothesise that communities may also possess collective attributes that allow them to outperform expectations given traditional risk indicators.…”

Section: Introductionmentioning

confidence: 93%

A county-level cross-sectional analysis of positive deviance to assess multiple population health outcomes in Indiana

et al. 2017

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ObjectiveTo test a positive deviance method to identify counties that are performing better than statistical expectations on a set of population health indicators.DesignQuantitative, cross-sectional county-level secondary analysis of risk variables and outcomes in Indiana. Data are analysed using multiple linear regression to identify counties performing better or worse than expected given traditional risk indicators, with a focus on ‘positive deviants’ or counties performing better than expected.ParticipantsCounties in Indiana (n=92) constitute the unit of analysis.Main outcome measuresPer cent adult obesity, per cent fair/poor health, low birth weight per cent, per cent with diabetes, years of potential life lost, colorectal cancer incidence rate and circulatory disease mortality rate.ResultsCounty performance that outperforms expectations is for the most part outcome specific. But there are a few counties that performed particularly well across most measures.ConclusionsThe positive deviance approach provides a means for state and local public health departments to identify places that show better health outcomes despite demographic, social, economic or behavioural disadvantage. These places may serve as case studies or models for subsequent investigations to uncover best practices in the face of adversity and generalise effective approaches to other areas.

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A Practical Guide to Using the Positive Deviance Method in Health Services Research

Abstract: It is hoped that this article will help health services researchers to use this valuable research method more effectively, especially those who have not done so before.

Cited by 67 publications

References 30 publications

Primary Care Visit Regularity and Patient Outcomes: an Observational Study

Primary Care Visit Regularity and Patient Outcomes: an Observational Study

Family Life Education: Translational Family Science in Action

A county-level cross-sectional analysis of positive deviance to assess multiple population health outcomes in Indiana

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