Table 4 Results of portfolio analysis of de-implementation grants (N = 20)
From: Studying de-implementation in health: an analysis of funded research grants
Domain | Code | Total | |
|---|---|---|---|
n | % | ||
Study objectives | Understand or characterize factors influencing de-implementation | 14 | 70 |
Develop strategies to facilitate de-implementation | 15 | 75 | |
Health area | Cancer | 8 | 40 |
Cardiovascular disease | 1 | 5 | |
Geriatric syndromes | 1 | 5 | |
Hormone imbalance | 1 | 5 | |
Infectious diseases | 3 | 15 | |
Kidney disease | 1 | 5 | |
Mental health | 2 | 10 | |
Neurological | 1 | 5 | |
Multiplea | 1 | 5 | |
Not specified | 1 | 5 | |
Continuum of care | Prevention | 2 | 10 |
Screening and/or detection | 5 | 25 | |
Diagnosis | 3 | 15 | |
Treatment | 14 | 70 | |
Surveillance | 2 | 10 | |
Not specified | 1 | 5 | |
Health service or practice | Drugs, medications, or therapies | 15 | 75 |
Preventive or screening tests | 8 | 40 | |
Target patient population | Children (< 18 years old) | 2 | 10 |
Adults (18–64 years old) | 12 | 60 | |
Older adults (65+ years old) | 11 | 55 | |
Study setting | Clinical care | 16 | 80 |
Hospital | 4 | 20 | |
Nursing homes/assisted living facilities | 2 | 10 | |
Schools | 1 | 5 | |
Study design and methods | Experimental | 7 | 35 |
Measurement/algorithm development | 1 | 5 | |
Mixed methods | 4 | 20 | |
Observational | 7 | 35 | |
Qualitative | 3 | 15 | |
Quasi-experimental | 5 | 25 | |
Systems science | 4 | 20 | |
Proposed data source | Primary (e.g., original data collection) | 13 | 65 |
Secondary (e.g., claims data) | 13 | 65 | |