TY - JOUR
T1 - Adoption, reach and effectiveness of computer-based, practitioner delivered and combined smoking interventions in general medical practices: A three-arm cluster randomized trial
AU - Meyer, Christian
AU - Ulbricht, Sabina
AU - Gross, Beatrice
AU - Kästel, Lissy
AU - Wittrien, Sabine
AU - Klein, Gudrun
AU - Skoeries, Britta A.
AU - Rumpf, Hans Jürgen
AU - John, Ulrich
N1 - Funding Information:
The “Proactive interventions for smoking cessation in General medical Practices” (Pro GP) project is part of the German research network EARLINT (EARLy substance use INTervention) and is funded by the German Federal Ministry of Research and Education (grant no. 01EB0120 , 01EB0420 ), the Social Ministry of the State of Mecklenburg-Vorpommern (grant no. IX311a 406.68.43.05 ) and the German Research Foundation (Deutsche Forschungsgemeinschaft, grant no. JO150/6-1 ).
Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/2/1
Y1 - 2012/2/1
N2 - Background: Brief advice for smoking patients has not been sufficiently integrated in routine care. Computer-based interventions emerged as a time saving option that might help to exhaust the potential population impact of the general practice setting. Method: 151 practices were randomly assigned to one of three intervention programs consisting in the delivery of: (1) brief advice by the practitioner; (2) individually tailored computer-generated letters; or (3) a combination of both interventions. We assessed three dimensions of population impact: (1) adoption, i.e., the rate of practices participating in the program; (2) reach, measured as the number of interventions provided within 7 months; (3) effectiveness, measured as smoking abstinence at 12-months follow-up. Results: Among the practices, 70% adopted the program with no significant differences across study groups. Treatment was provided to 3086 adult smokers. Negative binomial regression analysis revealed that the number of interventions provided was higher in practices allocated to the tailored letter and combination intervention groups by 215% (p<. .01) and 127% (p=02), respectively, compared to the brief advice intervention group. Among the patients who received the combination of both intervention, the odds of point abstinence from smoking was increased by 65% (p=02) and 32% (p=01) compared to the brief advice and tailored letters intervention respectively. Comparing the number of abstinent patients at follow-up revealed that the tailored letter and combination interventions were superior to the brief advice intervention. Conclusions: Computer-based interventions alone or in addition to conventional practitioner-delivered advice can foster the participation of general medical practices in tobacco control.
AB - Background: Brief advice for smoking patients has not been sufficiently integrated in routine care. Computer-based interventions emerged as a time saving option that might help to exhaust the potential population impact of the general practice setting. Method: 151 practices were randomly assigned to one of three intervention programs consisting in the delivery of: (1) brief advice by the practitioner; (2) individually tailored computer-generated letters; or (3) a combination of both interventions. We assessed three dimensions of population impact: (1) adoption, i.e., the rate of practices participating in the program; (2) reach, measured as the number of interventions provided within 7 months; (3) effectiveness, measured as smoking abstinence at 12-months follow-up. Results: Among the practices, 70% adopted the program with no significant differences across study groups. Treatment was provided to 3086 adult smokers. Negative binomial regression analysis revealed that the number of interventions provided was higher in practices allocated to the tailored letter and combination intervention groups by 215% (p<. .01) and 127% (p=02), respectively, compared to the brief advice intervention group. Among the patients who received the combination of both intervention, the odds of point abstinence from smoking was increased by 65% (p=02) and 32% (p=01) compared to the brief advice and tailored letters intervention respectively. Comparing the number of abstinent patients at follow-up revealed that the tailored letter and combination interventions were superior to the brief advice intervention. Conclusions: Computer-based interventions alone or in addition to conventional practitioner-delivered advice can foster the participation of general medical practices in tobacco control.
UR - http://www.scopus.com/inward/record.url?scp=84855877104&partnerID=8YFLogxK
U2 - 10.1016/j.drugalcdep.2011.08.019
DO - 10.1016/j.drugalcdep.2011.08.019
M3 - Journal articles
C2 - 21924563
AN - SCOPUS:84855877104
SN - 0376-8716
VL - 121
SP - 124
EP - 132
JO - Drug and Alcohol Dependence
JF - Drug and Alcohol Dependence
IS - 1-2
ER -