Open AccessSufficiency and Stability of Evidence for Public Health Interventions Using Cumulative Meta-Analysis
Author(s) -
Paige Muellerleile,
Brian Mullen
Publication year - 2006
Publication title -
american journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.284
H-Index - 264
eISSN - 1541-0048
pISSN - 0090-0036
DOI - 10.2105/ajph.2003.036343
Subject(s) - public health interventions , public health , meta analysis , psychological intervention , set (abstract data type) , intervention (counseling) , stability (learning theory) , environmental health , medicine , psychology , data science , computer science , nursing , machine learning , programming language
We propose cumulative meta-analysis as the procedure of completing a new meta-analysis at each successive wave in a research database. Two facets of cumulative knowledge are considered: the first, sufficiency, refers to whether the meta-analytic database adequately demonstrates that a public health intervention works. The second, stability, refers to the shifts over time in the accruing evidence about whether a public health intervention works. We used a hypothetical data set to develop the indicators of sufficiency and stability, and then applied them to existing, published datasets. Our discussion centers on the implications of the use of this procedure in evaluating public health interventions.