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. Author manuscript; available in PMC: 2013 Aug 1.
Published in final edited form as: Med Care. 2012 Mar;50(3):217–226. doi: 10.1097/MLR.0b013e3182408812

TABLE 3.

Hybrid Design Characteristics and Key Challenges

Study Characteristic Hybrid Trial Type 1 Hybrid Trial Type 2 Hybrid Trial Type 3
Research aims Primary aim: determine effectiveness of a clinical intervention
Secondary aim: better understand context for implementation
Coprimary aim*: determine effectiveness of a clinical intervention
Coprimary aim: determine feasibility and potential utility of an implementation intervention/strategy
Primary aim: determine utility of an implementation intervention/strategy
Secondary aim: assess clinical outcomes associated with implementation trial
Research questions (examples) Primary question: will a clinical treatment work in this setting/these patients?
Secondary question: what are potential barriers/facilitators to a treatment’s widespread implementation?
Coprimary question*: will a clinical treatment work in this setting/these patients?
Coprimary question: does the implementation method show promise (either alone or in comparison with another method) in facilitating implementation of a clinical treatment?
Primary question: which method works better in facilitating implementation of a clinical treatment?
Secondary question: are clinical outcomes acceptable?
Units of randomization Patient, clinical unit Clinical effectiveness: see type I
Implementation: see type III, although may be nonrandomized, for example, case study
Provider, clinical unit, facility, system
Comparison conditions Placebo, treatment as usual, competing treatment Clinical effectiveness: see type I
Implementation: see type III, although may be nonrandomized, for example, case study
Provider, clinical unit, facility, system: implementation as usual, competing implementation strategy
Sampling frames Patient: limited restrictions, but some inclusion/exclusion criteria
Provider, clinical unit, facility, system: choose subsample from relevant participants
Patient: limited restrictions, but some inclusion/exclusion criteria
Providers/clinics/facility/systems; consider “optimal” cases
Provider/clinic/facility/system: either “optimal” cases or a more heterogeneous group
Secondary: all or selected patients included in study locations
Evaluation methods Primary aim: quantitative, summative
Secondary aim: mixed methods, qualitative, process-oriented, could also inform interpretation of primary aim findings
Clinical effectiveness aim: quantitative, summative
Implementation aim: mixed method; quantitative, qualitative; formative and summative
Primary aim: mixed-method, quantitative, qualitative, formative, and summative
Secondary aim: quantitative, summative
Measures Primary aim: patient symptoms and functioning, possibly cost
Secondary aim: feasibility and acceptability of implementing clinical treatment, sustainability potential, barriers and facilitators to implementation
Clinical effectiveness aim: patient symptoms and functioning, possibly cost effectiveness
Implementation aim: adoption of clinical treatment and fidelity to it, as well as related factors
Primary aim: adoption of clinical treatment and fidelity to it, as well as related factors
Secondary aim: patient symptoms, functioning, services use
Potential design challenges Generating “buy in” among clinical researchers for implementation aims
Insuring appropriate expertise on study team to conduct rigorous Secondary aim
These studies will likely require more research expertise and personnel, and larger budgets, than nonhybrids
Generating “buy in” among implementation researchers for clinical intervention aims
These studies will require more research expertise and personnel, as well as larger budgets, than nonhybrids
Insuring appropriate expertise on study team to rigorously conduct both aims
“Creep” of clinical treatment away from fidelity needed for optimal effectiveness
IRB complexities with multiple types of participants
Primary data collection with patients in large, multisite implementation trials can be unfeasible, and studies might need to rely on subsamples of patients, medical record review, and/or administrative data.
Patient outcomes data will not be as extensive as in traditional effectiveness trials or even other Hybrid types, and might be insufficient to answer some questions
“Creep” of clinical treatment away from fidelity needed for optimal effectiveness
IRB complexities with multiple types of participants
*

In a grant application, one of these aims/research questions might take precedence, for example in a case where the test of an implementation intervention/strategy is exploratory. Yet, for the purposes of this table, we listed these dual aims/research questions as “coprimary.”

IRB indicates Institutional Review Board.