Developing logic models to inform public health policy outcome evaluation: an example from tobacco control.

Journal of Public Health
Tessa LangleyBen Young

Abstract

The evaluation of large-scale public health policy interventions often relies on observational designs where attributing causality is challenging. Logic models-visual representations of an intervention's anticipated causal pathway-facilitate the analysis of the most relevant outcomes. We aimed to develop a set of logic models that could be widely used in tobacco policy evaluation. We developed an overarching logic model that reflected the broad categories of outcomes that would be expected following the implementation of tobacco control policies. We subsequently reviewed policy documents to identify the outcomes expected to result from the implementation of each policy and conducted a literature review of existing evaluations to identify further outcomes. The models were revised according to feedbacks from a range of stakeholders. The final models represented expected causal pathways for each policy. The models included short-term outcomes (such as policy awareness, compliance and social cognitive outcomes), intermediate outcomes (such as changes in smoking behaviour) and long-term outcomes (such as mortality, morbidity and health service usage). The use of logic models enables transparent and theory-based planning of evaluatio...Continue Reading

References

May 26, 2005·Public Health·M PetticrewL Sparks
Apr 23, 2010·Tobacco Control·April Roeseler, David Burns
Nov 23, 2010·Tobacco Control·Ann McNeillRichard Edwards
Sep 9, 2011·Journal of the American Board of Family Medicine : JABFM·Holly HayesRay Howard
Feb 26, 2014·Social Science & Medicine·David K Humphreys, Manuel P Eisner
Jan 16, 2016·Annals of Operations Research·Alan BrennanDaniel Hill-Macmanus
Aug 28, 2016·Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research·Hazel SquiresMichael P Kelly
Apr 7, 2017·Annual Review of Public Health·Sanjay BasuArjumand Siddiqi

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