Appropriate research designs for evaluating community-level alcohol interventions: what next?
OBJECTIVE
The aim of this study was to explore the logistical and methodological strengths and weaknesses of some of the more common research designs which can be used to evaluate the impact of system- or population-level approaches for reducing alcohol-related harms.


METHODS
This paper identifies studies that have evaluated system or population approaches to reduce alcohol-related harms. It highlights the tension caused by a desire for the most rigorous research designs, such as randomized controlled trials (RCTs), the most potentially efficacious interventions and the practical problems in applying the RCT to population-level research. Alternative research designs, which possess methodological rigour and are more feasible, are identified and described. The design with the strongest methodological characteristics and feasibility in allowing the evaluation of population interventions is considered to be the multiple baseline.


RESULTS
The multiple baseline design addresses potential problems of sample sizes, selection bias, the suitability and baseline stability of outcome measures, statistical analyses and the practicalities of conducting rigorous research in system- or population-level settings.


CONCLUSIONS
The multiple baseline design has the capacity to allow methodologically and statistically stringent evaluations with relatively small sample sizes, low cost and fewer of the complications imposed by RCTs. Like all research designs it has limitations, but arguably represents the most practical and methodologically rigorous approach to the evaluation of system- or population-level strategies.
Gilligan
Conor
C
Priority Research Centre for Health Behaviour, School of Medicine and Public Health, University of Newcastle, Newcastle, Australia. Conor.Gilligan@newcastle.edu.au
Sanson-Fisher
Rob
R
Shakeshaft
Anthony
A
D000437:Alcoholism / Q000453:epidemiology / Q000517:prevention & control*; D006266:Health Education / Q000639:trends*; D006801:Humans; D016032:Randomized Controlled Trials as Topic / Q000639:trends; D012107:Research Design / Q000639:trends*; D012111:Residence Characteristics; D012307:Risk Factors