Dataset Information

Postpartum Analgesia in New Mothers (PAIN) Study: A Survey of Canadian Obstetricians' Post-Delivery Opioid-Prescribing Practices.

ABSTRACT:

Objective

We aimed to describe opioid prescribing practices after obstetric delivery and to evaluate how these practices compare with national opioid prescribing guidelines.

Methods

A closed survey was developed, evaluated for validity and reliability, and distributed by email to obstetrician members of the Society of Obstetricians and Gynaecologists of Canada (SOGC) in December 2018. Descriptive statistics were used to summarize respondent demographics, pharmaceutical pain management strategies, and opioid prescribing practices. Logistic regression was used to measure associations between respondent characteristics and high-risk opioid prescribing practices (e.g., prescribing >50 mg morphine equivalent dose per day, prescribing >5 days, not screening for substance/opioid use disorder before prescribing).

Results

Our survey had high content validity (content validity index 0.89; 95% CI 0.78-1.00) and adequate reliability (Kappa 0.70; 95% CI 0.63-0.84 and intraclass correlation coefficient 0.70; 95% CI 0.67-0.81). Of the 1019 SOGC members reached, 243 initiated the survey (response rate, 24%). Among respondents, 235 (92%) completed the survey. Among opioid prescribers, 47% reported at least 1 high-risk opioid prescribing practice, the most frequent being a lack of substance/opioid use disorder screening. In the adjusted logistic regression model, being in practice more than 20 years (adjusted odds ratio [aOR] 0.53; 95% CI 0.29-0.93) and practising in a non-central area of Canada (aOR 0.49; 95% CI 0.28-0.84) reduced the odds of high-risk prescribing.

Conclusion

Further research on barriers to screening are needed to support and enhance safer opioid prescribing practices among Canadian obstetricians.

SUBMITTER: Harris M

PROVIDER: S-EPMC8824683 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Postpartum Analgesia in New Mothers (PAIN) Study: A Survey of Canadian Obstetricians' Post-Delivery Opioid-Prescribing Practices.

Harris Miriam M McDonald Emily G EG Marrone Erica E El-Messidi Amira A Girard Tanya T Gosselin Sophie S Gunn Christine M CM Shapiro Gabriel D GD Longo Cristina C Dayan Natalie N

Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC 20201213 8

<h4>Objective</h4>We aimed to describe opioid prescribing practices after obstetric delivery and to evaluate how these practices compare with national opioid prescribing guidelines.<h4>Methods</h4>A closed survey was developed, evaluated for validity and reliability, and distributed by email to obstetrician members of the Society of Obstetricians and Gynaecologists of Canada (SOGC) in December 2018. Descriptive statistics were used to summarize respondent demographics, pharmaceutical pain manage ...[more]

PMID: 33321248

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Project description:BACKGROUND:This is an updated version of the original Cochrane review published in Issue 4, 2006. Patients may control postoperative pain by self administration of intravenous opioids using devices designed for this purpose (patient controlled analgesia or PCA). A 1992 meta-analysis by Ballantyne et al found a strong patient preference for PCA over non-patient controlled analgesia, but disclosed no differences in analgesic consumption or length of postoperative hospital stay. Although Ballantyne's meta-analysis found that PCA did have a small but statistically significant benefit upon pain intensity, a 2001 review by Walder et al did not find statistically significant differences in pain intensity or pain relief between PCA and groups treated with non-patient controlled analgesia. OBJECTIVES:To evaluate the efficacy and safety of patient controlled intravenous opioid analgesia (termed PCA in this review) versus non-patient controlled opioid analgesia of as-needed opioid analgesia for postoperative pain relief. SEARCH METHODS:We ran the search for the previous review in November 2004. For this update, we searched the Cochrane Central Register of Controlled Trials (CENTRAL 2014, Issue 12), MEDLINE (1966 to 28 January 2015), and EMBASE (1980 to 28 January 2015) for randomized controlled trials (RCTs) in any language, and reference lists of reviews and retrieved articles. SELECTION CRITERIA:We selected RCTs that assessed pain intensity as a primary or secondary outcome. These studies compared PCA without a continuous background infusion with non-patient controlled opioid analgesic regimens. We excluded studies that explicitly stated they involved patients with chronic pain. DATA COLLECTION AND ANALYSIS:Two review authors independently extracted data, which included demographic variables, type of surgery, interventions, efficacy, and adverse events. We graded each included study for methodological quality by assessing risk of bias and employed the GRADE approach to assess the overall quality of the evidence. We performed meta-analysis of outcomes that included pain intensity assessed by a 0 to 100 visual analog scale (VAS), opioid consumption, patient satisfaction, length of stay, and adverse events. MAIN RESULTS:Forty-nine studies with 1725 participants receiving PCA and 1687 participants assigned to a control group met the inclusion criteria. The original review included 55 studies with 2023 patients receiving PCA and 1838 patients assigned to a control group. There were fewer included studies in our updated review due to the revised exclusion criteria. For the primary outcome, participants receiving PCA had lower VAS pain intensity scores versus non-patient controlled analgesia over most time intervals, e.g., scores over 0 to 24 hours were nine points lower (95% confidence interval (CI) -13 to -5, moderate quality evidence) and over 0 to 48 hours were 10 points lower (95% CI -12 to -7, low quality evidence). Among the secondary outcomes, participants were more satisfied with PCA (81% versus 61%, P value = 0.002) and consumed higher amounts of opioids than controls (0 to 24 hours, 7 mg more of intravenous morphine equivalents, 95% CI 1 mg to 13 mg). Those receiving PCA had a higher incidence of pruritus (15% versus 8%, P value = 0.01) but had a similar incidence of other adverse events. There was no difference in the length of hospital stay. AUTHORS' CONCLUSIONS:Since the last version of this review, we have found new studies providing additional information. We reanalyzed the data but the results did not substantially alter any of our previously published conclusions. This review provides moderate to low quality evidence that PCA is an efficacious alternative to non-patient controlled systemic analgesia for postoperative pain control.

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Project description:ImportanceThe Centers for Disease Control and Prevention (CDC) released the "Guideline For Prescribing Opioids For Chronic Pain" (hereafter, CDC guideline) in 2016, but its association with prescribing practices for patients who are opioid naive is unknown.ObjectiveTo estimate changes in initial prescribing rates, duration, and dosage practices to patients who are opioid naive after the release of the CDC guideline.Design, setting, and participantsThis cohort study used 6 sequential cohorts to estimate preguideline trends in prescribing among patients who were opioid naive, project that trend forward, and compare it with postguideline prescribing practices. Participants included commercially insured adults without current cancer or hospice care diagnoses and with no past-year opioid claims in the US from 2011 to 2017. All adjusted models were controlled for patient demographics and state-fixed effects. Data were analyzed from January 2020 to May 2021.ExposuresThe release of the CDC guideline.Main outcomes and measuresIndicators of any opioid prescription fills during a 9-month period, the number of days' supply of the initial prescription, and the binary indicator of whether the initial prescription was for 50 or more morphine milligram equivalents (MMEs) per day.ResultsThere were 12 870 612 eligible unique patients across cohorts (mean [SD] age in 2016, 51.2 [18.7] years; 6 553 458 [50.9%] women); and the mean (SD) age of the cohorts increased annually, from 48.7 (17.9) years in the April 2011 to December 2012 cohort to 51.9 (19.2) years in the April 2016 to December 2017 cohort. The postguideline prescribing prevalence was 532 962 of 5 834 088 individuals (9.1%), which exceeded that projected from the preguideline trend, estimated at 9.0% (95% CI, 9.0%-9.1%). Among patients receiving prescriptions during follow-up, adjusted mean days' supply was 4.7% (95% CI, 4.3%-5.1%) lower in the first year after release of the guideline and 9.8% (95% CI, 9.3%-10.3%) lower in the second year after release, compared with the expected rate from the preguideline trend. The adjusted odds of receiving a high-dose (ie, ≥50 MME/d) initial prescription were lower in the first year (odds ratio, 0.97; 95% CI, 0.96-0.98) and in the second year (odds ratio, 0.94; 95% CI, 0.93-0.96) after the release of the CDC guideline compared with the odds expected from the preguideline trend.Conclusions and relevanceThis cohort study found that patients who were opioid naive continued to initiate opioid therapy after the release of opioid prescribing guidelines by the CDC, but trends in prescribing duration reversed and decreased, after increasing in each of 4 preguideline cohorts examined. High-dose prescribing rates were already decreasing, but those trends accelerated after the CDC guideline release. These results suggest that nonmandatory, evidence-based guidelines from trusted sources were associated with prescribing practices. Guideline-concordant care has potential to improve pain management and reduce opioid-related harms.

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Dataset Information

Postpartum Analgesia in New Mothers (PAIN) Study: A Survey of Canadian Obstetricians' Post-Delivery Opioid-Prescribing Practices.

Objective

Methods

Results

Conclusion

Publications

Postpartum Analgesia in New Mothers (PAIN) Study: A Survey of Canadian Obstetricians' Post-Delivery Opioid-Prescribing Practices.

Similar Datasets

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