Observational studyJournal of opioid management
Patient engagement and prescription opioid use in perioperative pain management.
Observational study in Journal of opioid management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 9 citations in OpenAlex.
- The information that patients, their families, and medical staff wish to know about postoperative pain and its management. Results of the survey after mixed surgical procedures.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Transitional Pain Services and Clinics: A Scoping Review of Recent Literature.Journal of pain research · 2026Review
- Creating a Framework for Minimizing Opioid Consumption after Office Based Surgery.Current pain and headache reports · 2025Review
- Perceptions and experiences of pain management and opioid use among orthopaedic patients and health professionals: Insights from a qualitative study in a metropolitan tertiary hospital.SAGE open medicine · 2025Article
- Patient Experiences and Clinical Outcomes in a Multidisciplinary Perioperative Transitional Pain Service.Journal of personalized medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo examine (1) patient perceptions regarding their engagement and the engagement of their families in perioperative pain management, (2) demographic and clinical characteristics associated with perceived patient and family engagement, and (3) the association between perceived patient and family engagement and patient outcomes.
designA prospective, observational study.
settingThe Personalized Pain Program (PPP) at the Johns Hopkins Hospital in Baltimore, Maryland.
participantsPatients having more than one visit to the PPP.
interventionsn/a.
main outcome measuresSince the inception of the PPP, patients were surveyed prior to each clinic visit to assess their pain severity and interference using the Brief Pain Inventory. Starting August 22, 2018, two additional questions were added to the survey to assess patient perceptions of their engagement and the engagement of their families in perioperative pain management. In addition, electronic medical records were reviewed to collect data on daily opioid consumption during the first and last PPP visits presurgery and post-surgery.
resultsThe final analysis included 511 survey responses from 155 patients. Perceived engagement of the patient in perioperative pain management improved over time (p < .001) and was significantly associated with reduction in prescription opioid consumption after surgery (coef = 12.7, SE = 5.8, p = .031).
conclusionsSurgical patients and their family members should be actively engaged in perioperative pain management to improve prescription opioid use and the quality and safety of perioperative care.
Indexed as
Identifiers
What OpenQuestion holds
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.