Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project

Abstract Background Clinician utilization of practice guidelines can reduce inappropriate opioid prescribing and harm in chronic non-cancer pain; yet, implementation of “opioid guidelines” is subpar. We hypothesized that a multi-component quality improvement (QI) augmentation of “routine” system-lev...

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Main Authors: Aleksandra E. Zgierska, James M. Robinson, Robert P. Lennon, Paul D. Smith, Kate Nisbet, Mary W. Ales, Deanne Boss, Wen-Jan Tuan, Regina M. Vidaver, David L. Hahn
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Family Practice
Subjects:
Online Access:https://doi.org/10.1186/s12875-020-01320-9
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author Aleksandra E. Zgierska
James M. Robinson
Robert P. Lennon
Paul D. Smith
Kate Nisbet
Mary W. Ales
Deanne Boss
Wen-Jan Tuan
Regina M. Vidaver
David L. Hahn
author_facet Aleksandra E. Zgierska
James M. Robinson
Robert P. Lennon
Paul D. Smith
Kate Nisbet
Mary W. Ales
Deanne Boss
Wen-Jan Tuan
Regina M. Vidaver
David L. Hahn
author_sort Aleksandra E. Zgierska
collection DOAJ
description Abstract Background Clinician utilization of practice guidelines can reduce inappropriate opioid prescribing and harm in chronic non-cancer pain; yet, implementation of “opioid guidelines” is subpar. We hypothesized that a multi-component quality improvement (QI) augmentation of “routine” system-level implementation efforts would increase clinician adherence to the opioid guideline-driven policy recommendations. Methods Opioid policy was implemented system-wide in 26 primary care clinics. A convenience sample of 9 clinics received the QI augmentation (one-hour academic detailing; 2 online educational modules; 4–6 monthly one-hour practice facilitation sessions) in this non-randomized stepped-wedge QI project. The QI participants were volunteer clinic staff. The target patient population was adults with chronic non-cancer pain treated with long-term opioids. The outcomes included the clinic-level percentage of target patients with a current treatment agreement (primary outcome), rates of opioid-benzodiazepine co-prescribing, urine drug testing, depression and opioid misuse risk screening, and prescription drug monitoring database check; additional measures included daily morphine-equivalent dose (MED), and the percentages of all target patients and patients prescribed ≥90 mg/day MED. T-test, mixed-regression and stepped-wedge-based analyses evaluated the QI impact, with significance and effect size assessed with two-tailed p < 0.05, 95% confidence intervals and/or Cohen’s d. Results Two-hundred-fifteen QI participants, a subset of clinical staff, received at least one QI component; 1255 patients in the QI and 1632 patients in the 17 comparison clinics were prescribed long-term opioids. At baseline, more QI than comparison clinic patients were screened for depression (8.1% vs 1.1%, p = 0.019) and prescribed ≥90 mg/day MED (23.0% vs 15.5%, p = 0.038). The stepped-wedge analysis did not show statistically significant changes in outcomes in the QI clinics, when accounting for the comparison clinics’ trends. The Cohen’s d values favored the QI clinics in all outcomes except opioid-benzodiazepine co-prescribing. Subgroup analysis showed that patients prescribed ≥90 mg/day MED in the QI compared to comparison clinics improved urine drug screening rates (38.8% vs 19.1%, p = 0.02), but not other outcomes (p ≥ 0.05). Conclusions Augmenting routine policy implementation with targeted QI intervention, delivered to volunteer clinic staff, did not additionally improve clinic-level, opioid guideline-concordant care metrics. However, the observed effect sizes suggested this approach may be effective, especially in higher-risk patients, if broadly implemented. Trial registration Not applicable.
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spelling doaj.art-6460080dc2ed41db860b6a7a3a28f4f22022-12-22T02:41:09ZengBMCBMC Family Practice1471-22962020-11-0121111110.1186/s12875-020-01320-9Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement projectAleksandra E. Zgierska0James M. Robinson1Robert P. Lennon2Paul D. Smith3Kate Nisbet4Mary W. Ales5Deanne Boss6Wen-Jan Tuan7Regina M. Vidaver8David L. Hahn9Departments of Family and Community Medicine, Public Health Sciences, and Anesthesiology and Perioperative Medicine, Penn State College of MedicineCenter for Health Systems Research and Analysis, University of Wisconsin-MadisonDepartment of Family and Community Medicine, Penn State College of Medicine, 500 University DriveDepartment of Family Medicine and Community Health, Wisconsin Research and Education Network (WREN), University of Wisconsin-Madison, School of Medicine and Public HealthInterstate Postgraduate Medical AssociationInterstate Postgraduate Medical AssociationDepartment of Family Medicine and Community Health, Wisconsin Research and Education Network (WREN), University of Wisconsin-Madison, School of Medicine and Public HealthDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, School of Medicine and Public HealthDepartment of Family Medicine and Community Health, Wisconsin Research and Education Network (WREN), University of Wisconsin-Madison, School of Medicine and Public HealthDepartment of Family Medicine and Community Health, Wisconsin Research and Education Network (WREN), University of Wisconsin-Madison, School of Medicine and Public HealthAbstract Background Clinician utilization of practice guidelines can reduce inappropriate opioid prescribing and harm in chronic non-cancer pain; yet, implementation of “opioid guidelines” is subpar. We hypothesized that a multi-component quality improvement (QI) augmentation of “routine” system-level implementation efforts would increase clinician adherence to the opioid guideline-driven policy recommendations. Methods Opioid policy was implemented system-wide in 26 primary care clinics. A convenience sample of 9 clinics received the QI augmentation (one-hour academic detailing; 2 online educational modules; 4–6 monthly one-hour practice facilitation sessions) in this non-randomized stepped-wedge QI project. The QI participants were volunteer clinic staff. The target patient population was adults with chronic non-cancer pain treated with long-term opioids. The outcomes included the clinic-level percentage of target patients with a current treatment agreement (primary outcome), rates of opioid-benzodiazepine co-prescribing, urine drug testing, depression and opioid misuse risk screening, and prescription drug monitoring database check; additional measures included daily morphine-equivalent dose (MED), and the percentages of all target patients and patients prescribed ≥90 mg/day MED. T-test, mixed-regression and stepped-wedge-based analyses evaluated the QI impact, with significance and effect size assessed with two-tailed p < 0.05, 95% confidence intervals and/or Cohen’s d. Results Two-hundred-fifteen QI participants, a subset of clinical staff, received at least one QI component; 1255 patients in the QI and 1632 patients in the 17 comparison clinics were prescribed long-term opioids. At baseline, more QI than comparison clinic patients were screened for depression (8.1% vs 1.1%, p = 0.019) and prescribed ≥90 mg/day MED (23.0% vs 15.5%, p = 0.038). The stepped-wedge analysis did not show statistically significant changes in outcomes in the QI clinics, when accounting for the comparison clinics’ trends. The Cohen’s d values favored the QI clinics in all outcomes except opioid-benzodiazepine co-prescribing. Subgroup analysis showed that patients prescribed ≥90 mg/day MED in the QI compared to comparison clinics improved urine drug screening rates (38.8% vs 19.1%, p = 0.02), but not other outcomes (p ≥ 0.05). Conclusions Augmenting routine policy implementation with targeted QI intervention, delivered to volunteer clinic staff, did not additionally improve clinic-level, opioid guideline-concordant care metrics. However, the observed effect sizes suggested this approach may be effective, especially in higher-risk patients, if broadly implemented. Trial registration Not applicable.https://doi.org/10.1186/s12875-020-01320-9Quality improvementPrimary careChronic painHealth care deliveryPhysician behaviorOpioids
spellingShingle Aleksandra E. Zgierska
James M. Robinson
Robert P. Lennon
Paul D. Smith
Kate Nisbet
Mary W. Ales
Deanne Boss
Wen-Jan Tuan
Regina M. Vidaver
David L. Hahn
Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project
BMC Family Practice
Quality improvement
Primary care
Chronic pain
Health care delivery
Physician behavior
Opioids
title Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project
title_full Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project
title_fullStr Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project
title_full_unstemmed Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project
title_short Increasing system-wide implementation of opioid prescribing guidelines in primary care: findings from a non-randomized stepped-wedge quality improvement project
title_sort increasing system wide implementation of opioid prescribing guidelines in primary care findings from a non randomized stepped wedge quality improvement project
topic Quality improvement
Primary care
Chronic pain
Health care delivery
Physician behavior
Opioids
url https://doi.org/10.1186/s12875-020-01320-9
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