Evaluation of Interventions to Reduce Opioid Prescribing for Patients Discharged From the Emergency Department: A Systematic Review and Meta-analysis.
Analgesics, Opioid
/ therapeutic use
Emergency Service, Hospital
/ statistics & numerical data
Humans
Interrupted Time Series Analysis
Pain
/ drug therapy
Pain Management
/ statistics & numerical data
Patient Discharge
/ statistics & numerical data
Practice Patterns, Physicians'
/ statistics & numerical data
Prescription Drug Monitoring Programs
/ statistics & numerical data
Journal
JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235
Informations de publication
Date de publication:
04 01 2022
04 01 2022
Historique:
entrez:
13
1
2022
pubmed:
14
1
2022
medline:
24
2
2022
Statut:
epublish
Résumé
Limiting opioid overprescribing in the emergency department (ED) may be associated with decreases in diversion and misuse. To review and analyze interventions designed to reduce the rate of opioid prescriptions or the quantity prescribed for pain in adults discharged from the ED. MEDLINE, Embase, CINAHL, PsycINFO, and Cochrane Controlled Register of Trials databases and the gray literature were searched from inception to May 15, 2020, with an updated search performed March 6, 2021. Intervention studies aimed at reducing opioid prescribing at ED discharge were first screened using titles and abstracts. The full text of the remaining citations was then evaluated against inclusion and exclusion criteria by 2 independent reviewers. Data were extracted independently by 2 reviewers who also assessed the risk of bias. Authors were contacted for missing data. The main meta-analysis was accompanied by intervention category subgroup analyses. All meta-analyses used random-effects models, and heterogeneity was quantified using I2 values. The primary outcome was the variation in opioid prescription rate and/or prescribed quantity associated with the interventions. Effect sizes were computed separately for interrupted time series (ITS) studies. Sixty-three unique studies were included in the review, and 45 studies had sufficient data to be included in the meta-analysis. A statistically significant reduction in the opioid prescription rate was observed for both ITS (6-month step change, -22.61%; 95% CI, -30.70% to -14.52%) and other (odds ratio, 0.56; 95% CI, 0.45-0.70) study designs. No statistically significant reduction in prescribed opioid quantities was observed for ITS studies (6-month step change, -8.64%; 95% CI, -17.48% to 0.20%), but a small, statistically significant reduction was observed for other study designs (standardized mean difference, -0.30; 95% CI, -0.51 to -0.09). For ITS studies, education, policies, and guideline interventions (6-month step change, -33.31%; 95% CI, -39.67% to -26.94%) were better at reducing the opioid prescription rate compared with prescription drug monitoring programs and laws (6-month step change, -11.18%; 95% CI, -22.34% to -0.03%). Most intervention categories did not reduce prescribed opioid quantities. Insufficient data were available on patient-centered outcomes such as pain relief or patients' satisfaction. This systematic review and meta-analysis found that most interventions reduced the opioid prescription rate but not the prescribed opioid quantity for ED-discharged patients. More studies on patient-centered outcomes and using novel approaches to reduce the opioid quantity per prescription are needed. PROSPERO Identifier: CRD42020187251.
Identifiants
pubmed: 35024834
pii: 2788107
doi: 10.1001/jamanetworkopen.2021.43425
pmc: PMC8759006
doi:
Substances chimiques
Analgesics, Opioid
0
Types de publication
Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2143425Commentaires et corrections
Type : CommentIn
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