Search Filters for Knowledge Translation (KT) in CINAHL

Knowledge Translation

Our objective was to produce search filters for KT articles in the major healthcare databases, Medline and CINAHL. We approached the KT literature as having two natural subgroups of articles, those describing interventions designed to change behaviours (KT applications) and those related to the theory and understanding of KT (KT theory). In this study, we sought to develop and validate search filters to retrieve articles with content related to KT in general (general KT articles, KT applications, and KT theory) as well as KT applications and KT theory separately.

Jump to: Content, Applications, Theory

 

Filter type

CINAHL Filter

Sens / spec / prec / acc (%)
Maximizes sensitivity therapeutic* OR evaluation OR patient* OR polic*
63 / 56 / 30 / 57
Maximizes specificity patient education OR decision making OR therapeutic OR patient*
50 / 70 / 33 / 66
Best balance of sensitivity and specificity clinical trial* OR therapeutic* OR patient* OR utilization
58 / 65 / 33 / 63

 

Filter type

CINAHL Filter

Sens / spec / prec / acc (%)
Maximizes sensitivity evaluation OR evidence based practice (TX) OR health services (TX) OR patient (TX)
79 / 51 / 12 / 53
Maximizes specificity randomized controlled trial OR pretest-posttest design OR decision making OR evaluation
51 / 80 / 18 / 79
Best balance of sensitivity and specificity physician OR utilization OR evaluation OR evidence based practice
68 / 70 / 16 / 70

 

Filter type

CINAHL Filter

Sens / spec / prec / acc (%)
Maximizes sensitivity research OR evaluation (TX) OR evidence based practice (TX) OR social work (TX)
80 / 52 / 10 / 54
Maximizes specificity change* OR evidence-based medicine OR decision making OR knowledge
54 / 85 / 18 / 83
Best balance of sensitivity and specificity theoretical OR decision making OR change* (TX) OR evidence based practice
70 / 78 / 17 / 77