dat.baskerville2012 {metadat}R Documentation

Studies on the Effectiveness of Practice Facilitation Interventions

Description

Results from 23 studies on the effectiveness of practice facilitation interventions within the primary care practice setting.

Usage

dat.baskerville2012

Format

The data frame contains the following columns:

author character study author(s)
year numeric publication year
score numeric quality score (0 to 12 scale)
design character study design (cct = controlled clinical trial, rct = randomized clinical trial, crct = cluster randomized clinical trial)
alloconc numeric allocation concealed (0 = no, 1 = yes)
blind numeric single- or double-blind study (0 = no, 1 = yes)
itt numeric intention to treat analysis (0 = no, 1 = yes)
fumonths numeric follow-up months
retention numeric retention (in percent)
country character country where study was conducted
outcomes numeric number of outcomes assessed
duration numeric duration of intervention
pperf numeric practices per facilitator
meetings numeric (average) number of meetings
hours numeric (average) hours per meeting
tailor numeric intervention tailored to the context and needs of the practice (0 = no, 1 = yes)
smd numeric standardized mean difference
se numeric corresponding standard error

Details

Baskerville et al. (2012) describe outreach or practice facilitation as a "multifaceted approach that involves skilled individuals who enable others, through a range of intervention components and approaches, to address the challenges in implementing evidence-based care guidelines within the primary care setting". The studies included in this dataset examined the effectiveness of practice facilitation interventions for improving some relevant evidence-based practice behavior. The effect was quantified in terms of a standardized mean difference, comparing the change (from pre- to post-intervention) in the intervention versus the comparison group (or the difference from baseline in prospective cohort studies).

Concepts

medicine, primary care, standardized mean differences, publication bias, meta-regression

Author(s)

Wolfgang Viechtbauer, wvb@metafor-project.org, https://www.metafor-project.org

Source

Baskerville, N. B., Liddy, C., & Hogg, W. (2012). Systematic review and meta-analysis of practice facilitation within primary care settings. Annals of Family Medicine, 10(1), 63–74. ⁠https://doi.org/10.1370/afm.1312⁠

Examples

### copy data into 'dat' and examine data
dat <- dat.baskerville2012
dat

## Not run: 

### load metafor package
library(metafor)

### random-effects model
res <- rma(smd, sei=se, data=dat, method="DL")
print(res, digits=2)

### funnel plot
funnel(res, xlab="Standardized Mean Difference", ylim=c(0,0.6))

### rank and regression tests for funnel plot asymmetry
ranktest(res)
regtest(res)

### meta-regression analyses examining various potential moderators
rma(smd, sei=se, mods = ~ score, data=dat, method="DL")
rma(smd, sei=se, mods = ~ alloconc, data=dat, method="DL")
rma(smd, sei=se, mods = ~ blind,    data=dat, method="DL")
rma(smd, sei=se, mods = ~ itt,      data=dat, method="DL")
rma(smd, sei=se, mods = ~ duration, data=dat, method="DL")
rma(smd, sei=se, mods = ~ tailor,   data=dat, method="DL")
rma(smd, sei=se, mods = ~ pperf,    data=dat, method="DL")
rma(smd, sei=se, mods = ~ I(meetings * hours), data=dat, method="DL")


## End(Not run)

[Package metadat version 1.2-0 Index]