Observational studyHealth services research2023
Evaluating a health system-wide opioid disposal intervention distributing home-disposal bags.
Observational study in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Evaluating a health system-wide opioid disposal intervention distributing home-disposal bags.Health services research · 2023Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo evaluate a health system-wide intervention distributing free home-disposal bags to surgery patients prescribed opioids. DATA SOURCES AND STUDY
settingWe collected patient surveys and electronic medical record data at an academic health system. STUDY
designWe conducted a prospective observational study. The bags were primarily distributed at pharmacies, though pharmacists delivered bags to some patients. The primary outcome was disposal of leftover opioids (effectiveness). Secondary outcomes were patient willingness to dispose and factors associated with disposal (effectiveness), recalling receipt of the bag (reach), and recalling receipt of bags and disposal over time (maintenance). We used a modified Poisson regression to evaluate the relative risk of disposal. Inverse probability of treatment weighting, based on propensity scores, was used to account for differences between survey responders and non-responders and reduce nonresponse bias. DATA COLLECTION/EXTRACTION
methodsFrom August 2020 to May 2021, we surveyed patients 2 weeks after discharge (allowing for home opioid use). Eligibility criteria were age ≥18, English being primary language, valid email address, hospitalization ≤30 days, discharge home, and an opioid prescription sent to a system pharmacy. PRINCIPAL
findingsWe identified 5134 patients with 2174 completing the survey (response rate 42.3%). Among respondents, 1375 (63.8%) recalled receiving the disposal bag. Among 1075 respondents with leftover opioids, 284 (26.4%) disposed, 552 (51.3%) planned to dispose, 79 (7.4%) did not plan to dispose, 69 (6.4%) had undecided, and 91 (8.5%) had not considered disposal. Recalling receipt of the bag (incidence rate ratio [IRR] 1.25, 95% confidence interval [CI] 1.13-1.37) was positively associated with disposal. Patients who used opioids in the last year were less likely to dispose (IRR 0.82, 95% CI 0.73-0.93). Disposal rates remained stable over the study period while recalling receipt of bags trended up.
conclusionsA pragmatic implementation of a disposal intervention resulted in lower disposal rates than prior trials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.