David M Murray, Patrick Heagerty, James Troendle, Feng-Chang Lin, Jonathan Moyer, June Stevens, Leslie Lytle, Xinzhi Zhang, Maliha Ilias, Mary Y Masterson, Nicole Redmond, Veronica Tonwe, Dave Clark, George A Mensah
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Implementation Research at NHLBI: Methodological and Design Challenges and Lessons Learned from the DECIPHeR Initiative.
NHLBI funded seven projects as part of the Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) Initiative. They were expected to collaborate with community partners to (1) employ validated theoretical or conceptual implementation research frameworks, (2) include implementation research study designs, (3) include implementation measures as primary outcomes, and (4) inform our understanding of mediators and mechanisms of action of the implementation strategy. Several projects focused on late-stage implementation strategies that optimally and sustainably delivered two or more evidence-based multilevel interventions to reduce or eliminate cardiovascular and/or pulmonary health disparities and to improve population health in high-burden communities. Projects that were successful in the three-year planning phase transitioned to a 4-year execution phase. NHLBI formed a Technical Assistance Workgroup during the planning phase to help awardees refine study aims, strengthen research designs, detail analytic plans, and to use valid sample size methods. This paper highlights methodological and study design challenges encountered during this process. Important lessons learned included (1) the need for greater emphasis on implementation outcomes, (2) the need to clearly distinguish between intervention and implementation strategies in the protocol, (3) the need to address clustering due to randomization of groups or clusters, (4) the need to address the cross-classification that results when intervention agents work across multiple units of randomization in the same arm, (5) the need to accommodate time-varying intervention effects in stepped-wedge designs, and (6) the need for data-based estimates of the parameters required for sample size estimation.
期刊介绍:
Ethnicity & Disease is an international journal that exclusively publishes information on the causal and associative relationships in the etiology of common illnesses through the study of ethnic patterns of disease. Topics focus on: ethnic differentials in disease rates;impact of migration on health status; social and ethnic factors related to health care access and health; and metabolic epidemiology. A major priority of the journal is to provide a forum for exchange between the United States and the developing countries of Europe, Africa, Asia, and Latin America.