First author, year | Study design | Study population | Study sample size | Primary outcome(s) | Change in intervention group | Change in control group | Effect size (95% CI) | P value | Effective in changing public behaviors | Quality appraisal | |
---|---|---|---|---|---|---|---|---|---|---|---|
Belongia, 2001 | NCT | Longitudinal | Physicians and public | 111 facilities, 664 children | Pediatric antibiotic prescribing in child care facilities | Baseline: 57.6%; post-intervention: 59.5% of initial visits | Baseline: 60.1%; post-intervention 61.5% of initial visits | NR | Baseline: P = 0.56; post-intervention: P = 0.66 | No | Weak |
Belongia, 2005 | CPP | Longitudinal | Parents and primary care clinicians | 4115 primary care physicians | Change in annual antimicrobial prescribing rate | − 20.4% | − 19.8% | − 0.6% | NR | No | Moderate |
Bernier, 2014 | ITS | Longitudinal | French citizens covered by NHI | Not reported | Change in antimicrobial prescribing rate | NA | NA | − 30% (− 36.3 to − 23.8%) | P < 0.001 | Mixed | Strong |
Cebotarenco, 2008 | CPP | Cross-sectional | Students and parents | ~6302 people | No antibiotic use for cold and flu | Students: a 33.7% net increase in no antibiotic use; Adults: a 38.0% net increase in no use | Students − 0.4%; adults +0.1% | Students 3.694 (CI 2.516 to 5.423); adults 5.541 (CI 4.559 to 6.733) | P < 0.0001 | Yes | Weak |
Finkelstein, 2001 | RCT | Longitudinal | Physicians and parents | 8815 children | Antibiotics dispensed per person-year of observation among children | 3 to < 36 months (− 18.6%), 36 to < 72 (− 15.0%) | 3 to < 36 months (− 11.5%), 36 to < 72 (− 9.8%) | 3 to < 36 monnths (− 16%), 36 to < 72 (− 12%) | 3 to < 36 months (P < 0.001), 36 to < 72 (P < 0.001) | Yes | Strong |
Finkelstein, 2008 | RCT | Longitudinal | Physicians and parents | 223,135 person/years | Antibiotics dispensed per person-year of observation among children | 3 to < 24 months (− 20.7%), 24 to < 48 (− 10.3), 48 to < 72 (− 2.5) | 3 to < 24 months (− 21.2), 24 to < 48 (− 14.5), 48 to < 72 (− 9.3) | 3 to < 24 months (− 0.5), 24 to < 48 (− 4.2), 48 to < 72 (− 6.7) | 3 to < 24 months (P = 0.69), 24 to < 48 (P < 0.01), 48 to < 72 (P < 0.0001) | Mixed | Strong |
Formoso, 2013 | NCT | Longitudinal | Modena and Parma, Emilia-Romagna region | 1,150,000 residents | Antibiotic prescription rate | − 11.9 | − 7.4 | − 4.3% (− 7.1 to − 1.5%) | P = 0.008 | Yes | Strong |
Fuertes, 2010 | ITS | Longitudinal | Population in British Columbia, Canada | Not reported | Antibiotic utilization rate | − 5.8% | NA | NR | NR | No | Strong |
Gonzales, 2004 | NCT | Longitudinal | Medicare enrollees with acute respiratory tract infections (ARIs) | 4270 patient visits | Decreased antibiotic prescription rates | − 5% | − 2% | NR | P = 0.79 | No | Moderate |
Gonzales, 2005 | NCT | Longitudinal | Children with pharyngitis and adults with acute bronchitis | Baseline: 10128 patients Study: 9586 patients | Decreased antibiotic prescription rates | Children: − 4% Adults: − 24% | Children: − 2% at local control; 1% at distant control; Adults: − 10% at local control; − 6% at distant control | NR | Children: P = 0.18, P = 0.48 compared with distant and local control; Adults: P < 0.002 and P = 0.006, for distant and local control | Mixed | Moderate |
Gonzales, 2008 | NCT | Longitudinal | Mothers of young children and primary care physicians | 922 households, 1.38+ million antibiotic prescriptions | Net change in antibiotic dispensed per 1000 persons | – | – | − 3.8% in retail pharmacy antibiotic dispenses and − 8.8% in managed care organization (MCO)-associated dispenses | P = 0.30 for public, P = 0.03 for MOC members | Mixed | Strong |
Hennessy, 2002 | NCT | Longitudinal | Medical providers and community | 10,809 | Antibiotic utilization | − 31% (P ≤ 0.01) | − 10% (P ≥ 0.05) | − 21% | NR | Mixed | Moderate |
Kliemann, 2016 | ITS | Longitudinal | Residents of Sao Paulo | 41,262,199 | Antibiotic utilization | − 1.616 DID | NA | NR | P = 0.002 | Yes | Moderate |
Lambert, 2007 | CPP | Longitudinal | Communities in North East of England | Not reported | Per person, per clinic visit | Initial: − 31% Expanded: − 35% | NA | NR | P < 0.01 | Mixed | Weak |
Lee, 2017 | RCT | Cross-sectional | Adult patients | 914 patients | Antibiotic prescriptions | 20.6% | 17.7% | 1.20 (0.83–1.73) | P = 0.313 | No | Weak |
Mainous, 2009 | QE (controlled post-test) | Cross-sectional | Latino adults | 500 adults | Use of non-prescription antibiotics | 1.3% | 3.2% | NR | P = 0.90 | No | Weak |
McNulty, 2010 | CPP | Cross-sectional | Adult ≥ 15 | Pre= (1999); post (1830) | Antibiotic use without professional advice | − 0.5% | 0% | NR | NR | No | Weak |
Perz, 2002 | CPP | Longitudinal | Children < 15 | 464200 person-years | Antibiotic prescription rates | Year 3:19% | Year 1: 8% | 11% (8–14%) | P < 0.001 | Yes | Moderate |
Sabuncu, 2009 | ITS | Longitudinal | French citizens covered by NHI | Not reported | Change in winter antibiotic prescribing rate (Oct to Mar) | NA | NA | − 26.5% (− 33.5 to − 19.6%) | < 0.0001 | Yes | Strong |
Santa-Ana-Tellez, 2013 | ITS | Longitudinal | Populations in Mexico and Brazil | Not reported | OTC antibiotics consumption | Brazil = − 1.35; Mexico = − 1.17 | NA | NR | Brazil P < 0.01; Mexico P < 0.001 | Mixed | Strong |
Santa-Ana-Tellez, 2015 | ITS | Longitudinal | Populations in Mexico and Brazil | Not reported | Seasonal variation in total Penicillin use | Brazil = 0.077; Mexico = − 0.359 | NA | Brazil = 0.077 (-1.142 to 1.297); Mexico = -0.359 (-0.613 to -0.105) | Brazil P > 0.05; Mexico P < 0.01 | Mixed | Strong |
Taylor, 2005 | RCT | Cross-sectional | Parent/child dyads | 499 children | Total no. of prescriptions for antibiotics | 2.2 ± 2.6 | 2.5 ± 2.9 | NR | P = 0.23 | No | Weak |
Trepka, 2001 | CPP | Cross-sectional | Physicians and public | 365 children | Expected an antibiotic for their child and did not receive one and brought their child to another physician because they did not receive an antibiotic | Expected an antibiotic for their child and did not receive one: − 5.1% brought their child to another physician because they did not receive an antibiotic: − 2.9% | Expected an antibiotic for their child and did not receive one: 3.2% brought their child to another physician because they did not receive an antibiotic: 1.6% | Expected an antibiotic for their child and did not receive one: − 8.4% (− 13.9 to − 2.8); brought their child to another physician because they did not receive an antibiotic: − 4.5% (− 8.0 to – 0.9), they did not receive an antibiotic: 1.6% | Expected an antibiotic for their child and did not receive one: P = 0.003 brought their child to another physician because they did not receive an antibiotic: P = 0.02 | Yes | Weak |
Wirtz, 2013 | ITS | Longitudinal | Chile, Colombia, Venezuela, Brazil | Not reported | OTC antibiotics consumption | Colombia: − 2.4DID; Chile: − 3.8 DID; Venezuela: + 5.39DID and Mexico: − 2.4DID | NA | Colombia: − 1.00; Chile: − 5.56; Venezuela: opposite impact; Mexico: no difference | Colombia: P = 0.001; Chile: P < 0.05 | Mixed | Moderate |
Wutzke, 2007 | ITS | Longitudinal | Australian community | Not reported | Change in use of antibiotics | − 3.40% | NA | 1.3–5.5 | < 0.05 | Yes | Moderate |
Beshears, 2013 | RCT | Cross-sectional | union members | 5498 adults | Conversion rate to lower-cost alternatives | Unaffiliated testimonial group 11.3%; Affiliated testimonial group 11.7% | 12.20% | NR | NR (insignificant) | No | Moderate |
O'Malley, 2006 | QE (matched controlled) | Longitudinal | Adult patients | 9790064 claims | Generic dispensing rate | Mailing: − 4.94; Advertising: − 0.13; Generic sampling: − 0.02; physician incentive: − 0.33 | Doubling co-payment for brand-name drugs: 8.60 | NR | P > 0.05 | No | Moderate |
Sedjo, 2009 | QE | Longitudinal | Consumer-directed health care enrolees | 4026 people | Conversion rate to lower-cost alternatives | 0.30% | 9.30% | 29.82 (4.41–201.93) | P < 0.05 | Yes | Moderate |
Vallès, 2003 | RCT | Longitudinal | Patients taking medications for chronic disorders | 4620 patients | Evolution of the percentage of generic prescribing | 5.10% (1999–2000) | 1.90% (1999–2000) | NR | P < 0.001 | Yes | Strong |
Hasak 2018 | QE | Cross-sectional | Postoperative patients | 258 patients | Self-reported proper opioid disposal | 28 (22) | 14 (11) | NR | P = 0.02 | Yes | Weak |
Lawrence, 2019 | RCT | Cross-sectional | Parents of postoperative patients | 202 caregivers | Self-reported proper opioid disposal | 66 (71.7) | 50 (56.2) | 15.5 (1.7 to 29.3) | P = 0.03. | Yes | Moderate |
Maughan, 2016 | RCT | Cross-sectional | Postoperative patients | 79 patients | Self-reported proper opioid disposal | 52% (16/31) | 30% (8/27) | NR | P = 0.11. | No | Weak |
Rose, 2016 | QE | Cross-sectional | Postoperative patients | 87 patients | Self-reported proper opioid disposal | 12 (27%) | 2 (5%) | 22% (5 to 38) | P = 0.005 | Yes | Weak |
Spoth, 2008 | RCT | Longitudinal | Late adolescents and young adults | 2651 (study 2 on prescription drugs) | Self-reported lifetime prescription drug misuse overall | 11th graders: 3.9%; 12th graders: 7.7% | 11th graders: 7.7%; 12th graders: 10.5% | NR | 11th graders: P < 0.01; 12th graders: P < 0.1 | Yes | Weak |
Spoth, 2013 | RCT | Longitudinal | Late adolescents and young adults | Study 1: 667 students; Study 2: 2127 students | Self-reported lifetime prescription drug misuse overall | Study 1- 5.4; Study 2- 2.5 in age 21, 4.4 in age 22, 6.3 in age 25. | Study 1- 15.5; Study 2- 6.5 in age 21, 8.9 in age 22, 9.4 in age25. | Study 1: 65%; Study 2: 62% in age 21, 51% in age 22, 33% in age 25. | Study 1-P < 0.01; Study 2- age 21, P = 0.015, age 22, P = 0.019, age 25, P = 0.064 | Yes | Weak |
Eden, 2014 | RCT | Cross-sectional | Pregnant women with previous cesarean | 131 women | MoD (vaginal) | 41% | 37% | NR | P = 0.724 | No | Weak |
Fraser, 1997 | RCT | Cross-sectional | Pregnant women with previous cesarean section | 1275 women | MoD (vaginal) | 53% | 49% | 1.1 (1.0 to 1.2) | P > 0.05 | No | Weak |
Hassani, 2016 | QE | Cross-sectional | Primiparous women | 60 women | MoD (vaginal) | 30% | 10% | NR | NR | Yes | Weak |
Montgomery, 2007 | RCT | Cross-sectional | Pregnant women with previous cesarean section | 742 women | MoD (vaginal) | Decision analysis group: 37%; Info: 29% | Usual care: 30% | Info v. usual care: 0.93 (0.61,1.41) Decision v. usual care: 1.42 (0.94,2.14) | P > 0.9 P = 0.22 | No | Strong |
Navaee, 2015 | RCT | Cross-sectional | Primiparous women | 67 women | MoD (vaginal) | 62.9% | 43.8% | NR | P = 0.117 | No | Weak |
Sharifirad, 2013 | RCT | Cross-sectional | Pregnant women and partners | 88 women and partners | MoD (vaginal) | 71.5% | 50.0% | NR | P < 0.05 | Yes | Weak |
Shorten, 2005 | RCT | Cross-sectional | Pregnant women with previous cesarean section | 227 women | MoD (vaginal) | VD: 49.2% | CS: 50.8% | NR | NR | No | Weak |
Valiani, 2014 | RCT | Cross-sectional | Pregnant women and partners | 180 women and partners | MoD (vaginal) | Mothers alone intervention = 60%; Couples = 56.7% | 26.7% | NR | P = 0.017 | Yes | Weak |