Skip to main content
Top
Published in: Implementation Science 1/2019

Open Access 01-12-2019 | Care | Research

The effect of a clinical decision support system on prompting an intervention for risky alcohol use in a primary care smoking cessation program: a cluster randomized trial

Authors: Nadia Minian, Dolly Baliunas, Aliya Noormohamed, Laurie Zawertailo, Norman Giesbrecht, Christian S. Hendershot, Bernard Le Foll, Jürgen Rehm, Andriy V. Samokhvalov, Peter L. Selby

Published in: Implementation Science | Issue 1/2019

Login to get access

Abstract

Background

Clinical decision support systems (CDSSs) may promote practitioner adherence to evidence-based guidelines. This study examined if the addition of a CDSS influenced practitioner delivery of a brief intervention with treatment-seeking smokers who were drinking above recommended alcohol consumption guidelines, compared with practitioners who do not receive a CDSS prompt.

Methods

This was a cluster randomized controlled trial conducted in primary health care clinics across Ontario, Canada, implementing the Smoking Treatment for Ontario Patients (STOP) smoking cessation program. Clinics randomized to the intervention group received a prompt when a patient reported consuming alcohol above the Canadian Cancer Society (CCS) guidelines; the control group did not receive computer alerts. The primary outcome was an offer of an appropriate educational alcohol resource, an alcohol reduction workbook for patients drinking above the CCS guidelines, and an abstinence workbook to patients scoring above 20 points in the AUDIT screening tool; the secondary outcome was patient acceptance of the resource. The tertiary outcome was patient abstinence from smoking, and alcohol consumption within CCS guidelines, at 6-month follow-up. Results were analyzed using a generalized estimation approach for fitting logistic regression using a population-averaged method.

Results

Two hundred and twenty-one clinics across Ontario were randomized for this study; 110 to the intervention arm and 111 to the control arm. From the 15,222 patients that enrolled in the smoking cessation program, 15,150 (99.6% of patients) were screened for alcohol use and 5715 patients were identified as drinking above the CCS guidelines. No statistically significant difference between groups was seen in practitioner offer of an educational alcohol resource to appropriate patients (OR = 1.19, 95% CI 0.88–1.64, p = 0.261) or in patient abstinence from smoking and drinking within the CCS guidelines at 6-month follow-up (OR = 0.93, 95% CI 0.71–1.22, p = 0.594). However, a significantly greater proportion of patients in the intervention group accepted the alcohol resource offered to them by their practitioner (OR = 1.48, 95% CI 1.01–2.16, p = 0.045).

Conclusion

A CDSS may not increase the likelihood of practitioners offering an educational alcohol resource, though it may have influenced patients’ acceptance of the resource.

Trial registration

This trial is registered with ClinicalTrials.gov, number NCT03108144, registered on April 11, 2017, “retrospectively registered”.
Appendix
Available only for authorised users
Literature
1.
go back to reference Lang ES, Wyer PC, Haynes RB. Knowledge translation: closing the evidence-to-practice gap. Ann Emerg Med. 2007;49(3):355–63.CrossRef Lang ES, Wyer PC, Haynes RB. Knowledge translation: closing the evidence-to-practice gap. Ann Emerg Med. 2007;49(3):355–63.CrossRef
2.
go back to reference Gagliardi AR, Brouwers MC, Palda VA, Lemieux-Charles L, Grimshaw JM. How can we improve guideline use? A conceptual framework of implementability. Implement Sci. 2011;6(1):26.CrossRef Gagliardi AR, Brouwers MC, Palda VA, Lemieux-Charles L, Grimshaw JM. How can we improve guideline use? A conceptual framework of implementability. Implement Sci. 2011;6(1):26.CrossRef
3.
go back to reference Epstein RM, Street RLJ. Patient-centered communication in cancer care: promoting healing and reducing suffering. In: Contract No. Bethesda, MD: National Cancer Institute; 2007. p. 07–6225. Epstein RM, Street RLJ. Patient-centered communication in cancer care: promoting healing and reducing suffering. In: Contract No. Bethesda, MD: National Cancer Institute; 2007. p. 07–6225.
4.
go back to reference Gulliver SB, Kamholz BW, Helstrom AW. Smoking cessation and alcohol abstinence: what do the data tell us? Alcohol Res. 2006;29(3):208. Gulliver SB, Kamholz BW, Helstrom AW. Smoking cessation and alcohol abstinence: what do the data tell us? Alcohol Res. 2006;29(3):208.
5.
go back to reference Baca CT, Yahne CE. Smoking cessation during substance abuse treatment: what you need to know. J Subst Abuse Treat. 2009;36(2):205–19.CrossRef Baca CT, Yahne CE. Smoking cessation during substance abuse treatment: what you need to know. J Subst Abuse Treat. 2009;36(2):205–19.CrossRef
6.
go back to reference Bobo J, Davis C. Cigarette smoking cessation and alcohol treatment. Addiction. 1993;88:405–12.CrossRef Bobo J, Davis C. Cigarette smoking cessation and alcohol treatment. Addiction. 1993;88:405–12.CrossRef
7.
go back to reference Bobo JK, McIlvain HE, Lando HA, Walker RD, Leed-Kelly A. Effect of smoking cessation counseling on recovery from alcoholism: findings from a randomized community intervention trial. Addiction (Abingdon, England). 1998;93(6):877–87.CrossRef Bobo JK, McIlvain HE, Lando HA, Walker RD, Leed-Kelly A. Effect of smoking cessation counseling on recovery from alcoholism: findings from a randomized community intervention trial. Addiction (Abingdon, England). 1998;93(6):877–87.CrossRef
8.
go back to reference Prochaska J, Delucchi K, Hall S. A meta-analysis of smoking cessation interventions with individuals in substance abuse treatment or recovery. J Consult Clin Psychol. 2004;72(6):1144–56.CrossRef Prochaska J, Delucchi K, Hall S. A meta-analysis of smoking cessation interventions with individuals in substance abuse treatment or recovery. J Consult Clin Psychol. 2004;72(6):1144–56.CrossRef
9.
go back to reference Lim AC, Courtney KE, Moallem NR, Allen VC Jr, Leventhal AM, Ray LA. A brief smoking cessation intervention for heavy drinking smokers: treatment feasibility and acceptability. Front Psych. 2018;9:362. Lim AC, Courtney KE, Moallem NR, Allen VC Jr, Leventhal AM, Ray LA. A brief smoking cessation intervention for heavy drinking smokers: treatment feasibility and acceptability. Front Psych. 2018;9:362.
10.
go back to reference Ahacic K, Allebeck P, Thakker KD. Being questioned and receiving advice about alcohol and smoking in health care: associations with patients’ characteristics, health behavior, and reported stage of change. Subst Abuse Treat Prev Policy. 2010;5(1):30.CrossRef Ahacic K, Allebeck P, Thakker KD. Being questioned and receiving advice about alcohol and smoking in health care: associations with patients’ characteristics, health behavior, and reported stage of change. Subst Abuse Treat Prev Policy. 2010;5(1):30.CrossRef
11.
go back to reference Nilsen P, Aalto M, Bendtsen P, Seppa K. Effectiveness of strategies to implement brief alcohol intervention in primary healthcare. A systematic review. Scand J Prim Health Care. 2006;24(1):5–15.CrossRef Nilsen P, Aalto M, Bendtsen P, Seppa K. Effectiveness of strategies to implement brief alcohol intervention in primary healthcare. A systematic review. Scand J Prim Health Care. 2006;24(1):5–15.CrossRef
12.
go back to reference Blot W. Alcohol and cancer. Cancer Res. 1992;52(2119 s):2123 s. Blot W. Alcohol and cancer. Cancer Res. 1992;52(2119 s):2123 s.
13.
go back to reference Franceschi S, Talamini R, Barra S, Barón A, Negri E, Bidoli E, et al. Smoking and drinking in relation to cancers of the oral cavity, pharynx, larynx, and esophagus in Northern Italy. Cancer Res. 1990;50(20):6502–7.PubMed Franceschi S, Talamini R, Barra S, Barón A, Negri E, Bidoli E, et al. Smoking and drinking in relation to cancers of the oral cavity, pharynx, larynx, and esophagus in Northern Italy. Cancer Res. 1990;50(20):6502–7.PubMed
14.
go back to reference Pelucchi C, Gallus S, Garavello W, Bosetti C, La Vecchia C. Cancer risk associated with alcohol and tobacco use: focus on upper aero-digestive tract and liver. Alcohol Res Health. 2006;29(3):193–8.PubMedPubMedCentral Pelucchi C, Gallus S, Garavello W, Bosetti C, La Vecchia C. Cancer risk associated with alcohol and tobacco use: focus on upper aero-digestive tract and liver. Alcohol Res Health. 2006;29(3):193–8.PubMedPubMedCentral
15.
go back to reference Chiolero A, Wietlisbach V, Ruffieux C, Paccaud F, Cornuz J. Clustering of risk behaviors with cigarette consumption: a population-based survey. Prev Med. 2006;42(5):348–53.CrossRef Chiolero A, Wietlisbach V, Ruffieux C, Paccaud F, Cornuz J. Clustering of risk behaviors with cigarette consumption: a population-based survey. Prev Med. 2006;42(5):348–53.CrossRef
16.
go back to reference Dawson D. Drinking as a risk factor for sustained smoking. Drug Alcohol Depend. 2000;59(3):235–49.CrossRef Dawson D. Drinking as a risk factor for sustained smoking. Drug Alcohol Depend. 2000;59(3):235–49.CrossRef
17.
go back to reference Falk D, Yi H, Hiller-Sturmhöfel S. An epidemiologic analysis of co-occurring alcohol and tobacco use and disorders: findings from the National Epidemiologic Survey on Alcohol and Related Conditions. Alcohol Res Health. 2006;29(3):162–71.PubMedPubMedCentral Falk D, Yi H, Hiller-Sturmhöfel S. An epidemiologic analysis of co-occurring alcohol and tobacco use and disorders: findings from the National Epidemiologic Survey on Alcohol and Related Conditions. Alcohol Res Health. 2006;29(3):162–71.PubMedPubMedCentral
18.
go back to reference De P. The Canadian Cancer Society’s perspective on alcohol and the evidence supporting it. Canadian Cancer Society. 2013. De P. The Canadian Cancer Society’s perspective on alcohol and the evidence supporting it. Canadian Cancer Society. 2013.
19.
go back to reference Durazzo TC, Cardenas VA, Studholme C, Weiner MW, Meyerhoff DJ. Non-treatment-seeking heavy drinkers: effects of chronic cigarette smoking on brain structure. Drug Alcohol Depend. 2007;87(1):76–82.CrossRef Durazzo TC, Cardenas VA, Studholme C, Weiner MW, Meyerhoff DJ. Non-treatment-seeking heavy drinkers: effects of chronic cigarette smoking on brain structure. Drug Alcohol Depend. 2007;87(1):76–82.CrossRef
20.
go back to reference Meyerhoff DJ, Tizabi Y, Staley JK, Durazzo TC, Glass JM, Nixon SJ. Smoking comorbidity in alcoholism: neurobiological and neurocognitive consequences. Alcohol Clin Exp Res. 2006;30(2):253–64.CrossRef Meyerhoff DJ, Tizabi Y, Staley JK, Durazzo TC, Glass JM, Nixon SJ. Smoking comorbidity in alcoholism: neurobiological and neurocognitive consequences. Alcohol Clin Exp Res. 2006;30(2):253–64.CrossRef
21.
go back to reference Rehm J, Anderson P, Manthey J, Shield KD, Struzzo P, Wojnar M, et al. Alcohol use disorders in primary health care: what do we know and where do we go? Alcohol Alcohol (Oxford, Oxfordshire). 2016;51(4):422–7.CrossRef Rehm J, Anderson P, Manthey J, Shield KD, Struzzo P, Wojnar M, et al. Alcohol use disorders in primary health care: what do we know and where do we go? Alcohol Alcohol (Oxford, Oxfordshire). 2016;51(4):422–7.CrossRef
22.
go back to reference Schiff GD, Rucker TD. Computerized prescribing: building the electronic infrastructure for better medication usage. JAMA. 1998;279(13):1024–9.CrossRef Schiff GD, Rucker TD. Computerized prescribing: building the electronic infrastructure for better medication usage. JAMA. 1998;279(13):1024–9.CrossRef
23.
go back to reference Bennett JW, Glasziou PP. Computerised reminders and feedback in medication management: a systematic review of randomised controlled trials. Med J Aust. 2003;178(5):217–22.PubMed Bennett JW, Glasziou PP. Computerised reminders and feedback in medication management: a systematic review of randomised controlled trials. Med J Aust. 2003;178(5):217–22.PubMed
24.
go back to reference Walton RT, Harvey E, Dovey S, Freemantle N. Computerised advice on drug dosage to improve prescribing practice. Cochrane Database Syst Rev. 2001;(1):Cd002894. Walton RT, Harvey E, Dovey S, Freemantle N. Computerised advice on drug dosage to improve prescribing practice. Cochrane Database Syst Rev. 2001;(1):Cd002894.
25.
go back to reference Bright TJ, Wong A, Dhurjati R, Bristow E, Bastian L, Coeytaux RR, et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157(1):29–43.CrossRef Bright TJ, Wong A, Dhurjati R, Bristow E, Bastian L, Coeytaux RR, et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157(1):29–43.CrossRef
26.
go back to reference Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003;163(12):1409–16.CrossRef Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003;163(12):1409–16.CrossRef
27.
go back to reference Balas EA, Weingarten S, Garb CT, Blumenthal D, Boren SA, Brown GD. Improving preventive care by prompting physicians. Arch Intern Med. 2000;160(3):301–8.CrossRef Balas EA, Weingarten S, Garb CT, Blumenthal D, Boren SA, Brown GD. Improving preventive care by prompting physicians. Arch Intern Med. 2000;160(3):301–8.CrossRef
28.
go back to reference Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. Jama. 1998;280(15):1339–46.CrossRef Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. Jama. 1998;280(15):1339–46.CrossRef
29.
go back to reference McGinn TG, McCullagh L, Kannry J, Knaus M, Sofianou A, Wisnivesky JP, et al. Efficacy of an evidence-based clinical decision support in primary care practices: a randomized clinical trial. JAMA Intern Med. 2013;173(17):1584–91.CrossRef McGinn TG, McCullagh L, Kannry J, Knaus M, Sofianou A, Wisnivesky JP, et al. Efficacy of an evidence-based clinical decision support in primary care practices: a randomized clinical trial. JAMA Intern Med. 2013;173(17):1584–91.CrossRef
30.
go back to reference Wandersman A, Duffy J, Flaspohler P, Noonan R, Lubell K, Stillman L, et al. Bridging the gap between prevention research and practice: the interactive systems framework for dissemination and implementation. Am J Community Psychol. 2008;41(3-4):171–81.CrossRef Wandersman A, Duffy J, Flaspohler P, Noonan R, Lubell K, Stillman L, et al. Bridging the gap between prevention research and practice: the interactive systems framework for dissemination and implementation. Am J Community Psychol. 2008;41(3-4):171–81.CrossRef
31.
go back to reference Minian N, Baliunas D, Zawertailo L, Noormohamed A, Giesbrecht N, Hendershot CS, et al. Combining alcohol interventions with tobacco addictions treatment in primary care-the COMBAT study: a pragmatic cluster randomized trial. Implement Sci. 2017;12(1):65.CrossRef Minian N, Baliunas D, Zawertailo L, Noormohamed A, Giesbrecht N, Hendershot CS, et al. Combining alcohol interventions with tobacco addictions treatment in primary care-the COMBAT study: a pragmatic cluster randomized trial. Implement Sci. 2017;12(1):65.CrossRef
32.
go back to reference StataCorp. Stata Statistical Software: Release 13. Release 13 ed. College Station. TX: StataCorp; 2013. StataCorp. Stata Statistical Software: Release 13. Release 13 ed. College Station. TX: StataCorp; 2013.
33.
go back to reference Sobell LC, Sobell MB. Alcohol timeline followback users’ manual. Toronto, Canada: Addiction Research Foundation; 1995. Sobell LC, Sobell MB. Alcohol timeline followback users’ manual. Toronto, Canada: Addiction Research Foundation; 1995.
34.
go back to reference Gomez A, Conde A, Santana JM, Jorrin A. Diagnostic usefulness of brief versions of Alcohol Use Disorders Identification Test (AUDIT) for detecting hazardous drinkers in primary care settings. J Stud Alcohol. 2005;66(2):305–8.CrossRef Gomez A, Conde A, Santana JM, Jorrin A. Diagnostic usefulness of brief versions of Alcohol Use Disorders Identification Test (AUDIT) for detecting hazardous drinkers in primary care settings. J Stud Alcohol. 2005;66(2):305–8.CrossRef
35.
go back to reference Minian N, Noormohamed A, Zawertailo L, Baliunas D, Giesbrecht N, Le Foll B, et al. A method for co-creation of an evidence-based patient workbook to address alcohol use when quitting smoking in primary care: a case study. Res Involv Engagem. 2018;4(1):4.CrossRef Minian N, Noormohamed A, Zawertailo L, Baliunas D, Giesbrecht N, Le Foll B, et al. A method for co-creation of an evidence-based patient workbook to address alcohol use when quitting smoking in primary care: a case study. Res Involv Engagem. 2018;4(1):4.CrossRef
36.
go back to reference Statistics Canada. Canadian Community Health Survey Annual Component (CCHS) cycle 3.1.; 2005. Statistics Canada. Canadian Community Health Survey Annual Component (CCHS) cycle 3.1.; 2005.
38.
go back to reference Rutterford C, Copas A, Eldridge S. Methods for sample size determination in cluster randomized trials. Int J Epidemiol. 2015;44(3):1051–67.CrossRef Rutterford C, Copas A, Eldridge S. Methods for sample size determination in cluster randomized trials. Int J Epidemiol. 2015;44(3):1051–67.CrossRef
39.
go back to reference Eldridge SM, Ashby D, Kerry S. Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method. Int J Epidemiol. 2006;35(5):1292–300.CrossRef Eldridge SM, Ashby D, Kerry S. Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method. Int J Epidemiol. 2006;35(5):1292–300.CrossRef
40.
go back to reference Eldridge S, Kerry S. Introduction. A practical guide to cluster randomised trials in health services research. West Sussex, UK: Wiley; 2012.CrossRef Eldridge S, Kerry S. Introduction. A practical guide to cluster randomised trials in health services research. West Sussex, UK: Wiley; 2012.CrossRef
41.
go back to reference Eldridge S, Kerry S. The Intra-cluster correlation coefficient. A practical guide to cluster randomised trials in healthservices research. West Sussex, UK: Wiley; 2012. p. 172–95.CrossRef Eldridge S, Kerry S. The Intra-cluster correlation coefficient. A practical guide to cluster randomised trials in healthservices research. West Sussex, UK: Wiley; 2012. p. 172–95.CrossRef
42.
go back to reference Statistics Canada. Census of Population, Statistics Canada Catalogue no. 98-400-X2016132.; 2016. Statistics Canada. Census of Population, Statistics Canada Catalogue no. 98-400-X2016132.; 2016.
43.
go back to reference Hargraves D, White C, Frederick R, Cinibulk M, Peters M, Young A, et al. Implementing SBIRT (Screening, Brief Intervention and Referral to Treatment) in primary care: lessons learned from a multi-practice evaluation portfolio. Public Health Rev. 2017;38:31.CrossRef Hargraves D, White C, Frederick R, Cinibulk M, Peters M, Young A, et al. Implementing SBIRT (Screening, Brief Intervention and Referral to Treatment) in primary care: lessons learned from a multi-practice evaluation portfolio. Public Health Rev. 2017;38:31.CrossRef
44.
go back to reference Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765.CrossRef Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765.CrossRef
45.
go back to reference Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research. Ann Intern Med. 1994;120(2):135–42.CrossRef Johnston ME, Langton KB, Haynes RB, Mathieu A. Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research. Ann Intern Med. 1994;120(2):135–42.CrossRef
46.
go back to reference Walton R, Dovey S, Harvey E, Freemantle N. Computer support for determining drug dose: systematic review and meta-analysis. BMJ (Clinical research ed). 1999;318(7189):984–90.CrossRef Walton R, Dovey S, Harvey E, Freemantle N. Computer support for determining drug dose: systematic review and meta-analysis. BMJ (Clinical research ed). 1999;318(7189):984–90.CrossRef
47.
go back to reference Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223–38.CrossRef Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223–38.CrossRef
48.
go back to reference Liu JL, Wyatt JC, Deeks JJ, Clamp S, Keen J, Verde P, et al. Systematic reviews of clinical decision tools for acute abdominal pain. Health Technol Assess (Winchester, England). 2006;10:47):1–167 iii-iv. Liu JL, Wyatt JC, Deeks JJ, Clamp S, Keen J, Verde P, et al. Systematic reviews of clinical decision tools for acute abdominal pain. Health Technol Assess (Winchester, England). 2006;10:47):1–167 iii-iv.
49.
go back to reference Randell R, Mitchell N, Dowding D, Cullum N, Thompson C. Effects of computerized decision support systems on nursing performance and patient outcomes: a systematic review. J Health Serv Res Policy. 2007;12(4):242–9.CrossRef Randell R, Mitchell N, Dowding D, Cullum N, Thompson C. Effects of computerized decision support systems on nursing performance and patient outcomes: a systematic review. J Health Serv Res Policy. 2007;12(4):242–9.CrossRef
50.
go back to reference Chatellier G, Colombet I, Degoulet P. An overview of the effect of computer-assisted management of anticoagulant therapy on the quality of anticoagulation. Int J Med Informatics. 1998;49(3):311–20.CrossRef Chatellier G, Colombet I, Degoulet P. An overview of the effect of computer-assisted management of anticoagulant therapy on the quality of anticoagulation. Int J Med Informatics. 1998;49(3):311–20.CrossRef
51.
go back to reference Le KB, Johnson JA, Seale JP, Woodall H, Clark DC, Parish DC, et al. Primary care residents lack comfort and experience with alcohol screening and brief intervention: a multi-site survey. J Gen Intern Med. 2015;30(6):790–6.CrossRef Le KB, Johnson JA, Seale JP, Woodall H, Clark DC, Parish DC, et al. Primary care residents lack comfort and experience with alcohol screening and brief intervention: a multi-site survey. J Gen Intern Med. 2015;30(6):790–6.CrossRef
52.
go back to reference O'Donnell A, Kaner E. Are brief alcohol interventions adequately embedded in UK primary care? A qualitative study utilising normalisation process theory. Int J Environ Res Public Health. 2017;14:4. O'Donnell A, Kaner E. Are brief alcohol interventions adequately embedded in UK primary care? A qualitative study utilising normalisation process theory. Int J Environ Res Public Health. 2017;14:4.
Metadata
Title
The effect of a clinical decision support system on prompting an intervention for risky alcohol use in a primary care smoking cessation program: a cluster randomized trial
Authors
Nadia Minian
Dolly Baliunas
Aliya Noormohamed
Laurie Zawertailo
Norman Giesbrecht
Christian S. Hendershot
Bernard Le Foll
Jürgen Rehm
Andriy V. Samokhvalov
Peter L. Selby
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Care
Published in
Implementation Science / Issue 1/2019
Electronic ISSN: 1748-5908
DOI
https://doi.org/10.1186/s13012-019-0935-x

Other articles of this Issue 1/2019

Implementation Science 1/2019 Go to the issue