Embedding brief interventions for alcohol in general practice: a study protocol for the REACH Project feasibility trial

Elizabeth Sturgiss; Nilakshi Gunatillaka; Lauren Ball; Tina Lam; Suzanne Nielsen; Renee O'Donnell; Chris Barton; Helen Skouteris; Chun Wah Michael Tam; David Jacka; Danielle Mazza; Grant Russell

doi:10.3399/BJGPO.2021.0037

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Table 1. Data Source and data collection timepoints

Data source	Practice	Provider	Patient	Primary health network
Tool or survey	Electronic patient database (PENCS CAT4^TM¹³)	Practice survey	NoMAD tool^a	Interview	Patient survey (all)	Interview	Follow-up SMS survey	Interview	Project timelines
Contact point timeline
Baseline	X	X
Post- consultation					SMS link	Telephone
3 months	X						X	X	X
6 months	X		X				X	X	X
12 months	X		X	X			X		X

SMS = short message service.
↵a Normalisation Measure Development questionnaire.¹⁷

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Table 2. Mixed-methods data collection, analysis, and outcomes: implementation matrix adapted from Guetterman et al¹⁹

Data type	Study aim	Data collection procedure	Data analysisprocedure	Theoretical framework	Products or outcomes	Points of integration
Qualitative	To identify the barriers and facilitators to implementing alcohol BIs in general practice	Interviews: patients; clinicians; practice staff; PHN staff	Inductive thematic coding	CFIRRE-AIM	Perception of implementation processes from multiple viewpoints (acceptability; adoption; fidelity)	Triangulate with NoMAD data to inform implementation process.Compare with practice level data on % alcohol intake recording to look for patterns on increased uptake, or not
Quantitative	Increase uptake of alcohol BIs	Routine data extraction from practice to PHN (drinker, non-drinker, not recorded; sex; age); PHN to share the amalgamated data with research team	Descriptive statistics every 3 months.Interrupted time-series analysis compared with all practices in PHN catchment. Data will be collected monthly	CFIRRE-AIM	% change in patient records with alcohol intake recorded (reach; adoption)	Compare with qualitative interview data to understand barriers and facilitators to % change
Quantitative	To identify the barriers and facilitators to implementing alcohol BIs in general practice	NoMAD survey from practice managers and clinicians	Likert scale	Normalisation Process Theory	Measure of provider assessment of potential 'normalisation' of new procedure (acceptability; adoption; sustainability)	Triangulate with interview data from providers to identify implementation processes
Quantitative	Nested SMS study to determine response rates to SMS surveys over 9–12 months	SMS survey to patients at 3-monthly intervals using 2-way SMS (Qualtrics)	% response rate% of questions completed at each time point	NA	Response rate to SMS surveys over time	NA

BI = brief intervention. CFIR = Consolidated Framework for Implementation Research. NA = not applicable. NoMAD = Normalisation Measure Development. PHN = primary health network. RE-AIM = Reach, Effectiveness, Adoption, Implementation, Maintenance. SMS = short message service.

Supplementary Data

BJGPO.2021.0037.pdf -
Supplementary material is not copyedited or typeset, and is published as supplied by the author(s). The author(s) retain(s) responsibility for its accuracy.