Adoption of opioid-prescribing guidelines in primary care: a realist synthesis of contextual factors
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ABSTRACT: Objective
As part of an effort to design an implementation strategy tailoring tool, our research group sought to understand what is known about how contextual factors and prescriber characteristics affect the adoption of guideline-concordant opioid-prescribing practices in primary care settings. Design
We conducted a realist synthesis of 71 articles. Results
We found that adoption is related to contextual factors at the individual, clinic, health system and environmental levels, which operate via intrapersonal, interpersonal, organisational and structural mechanisms. Conclusion
A single static model cannot capture the complexity of the relationships between contexts, mechanisms and outcomes. Instead, a deeper understanding requires a dynamic model that conceptualises clusters of contextual factors and mechanisms that tend towards guideline concordance and clusters that tend toward non-concordance. Trail registration number
ClinicalTrial.gov registration number NCT04044521.
SUBMITTER: Jacobson N
PROVIDER: S-EPMC8719206 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Long-term opioid use for noncancer pain is increasingly prevalent yet controversial given the risks of addiction, diversion, and overdose. Prior literature has identified the problem and proposed management guidelines, but limited evidence exists on the actual effectiveness of implementing such guidelines in a primary care setting.A multidisciplinary working group of institutional experts assembled comprehensive guidelines for chronic opioid prescribing, including monitoring and referral recommendations. The guidelines were disseminated in September 2013 to our medical center's primary care clinics via in person and electronic education.We extracted electronic medical records for patients with noncancer pain receiving opioid prescriptions (Rxs) in seasonally matched preintervention (11/1/2012-6/1/2013) and postintervention (11/1/2013-6/1/2014) periods. For patients receiving chronic (3 or more) opioid Rxs, we assessed the rates of drug screening, specialty referrals, clinic visits, emergency room visits, and quantity of opioids prescribed.After disseminating guidelines, the percentage of noncancer clinic patients receiving any opioid Rxs dropped from 3.9% to 3.4% (P?=?0.02). The percentage of noncancer patients receiving chronic opioid Rxs decreased from 2.0% to 1.6% (P?=?0.03). The rate of urine drug screening increased from 9.2% to 17.3% (P?=?0.005) amongst noncancer chronic opioid patients. No significant differences were detected for other metrics or demographics assessed.An educational intervention for primary care opioid prescribing is feasible and was temporally associated with a modest reduction in overall opioid Rx rates. Provider use of routine drug screening increased, but overall rates of screening and specialty referral remained low despite the intervention. Despite national pressures to introduce opioid prescribing guidelines for chronic pain, doing so alone does not necessarily yield substantial changes in clinical practice.
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| S-EPMC5989454 | biostudies-literature
Project description:ImportanceTime pressure to provide a quick fix is commonly cited as a reason why opioids are frequently prescribed in the United States, but there is little evidence of an association between appointment timing and clinical decision-making. As the workday progresses and appointments run behind schedule, physicians may be more likely to prescribe opioids.ObjectiveTo estimate whether characteristics of appointment timing are associated with clinical decision-making about pain treatment.Design, setting, and participantsThis cross-sectional study of physician behavior used data from electronic health record systems in primary care offices in the United States to analyze primary care appointments occurring in 2017 for patients with a new painful condition who had not received an opioid prescription within the past year.Main outcomes and measuresThe association between treatment decisions and 2 dimensions of appointment timing (order of appointment occurrence and delay relative to scheduled start time) were assessed. The rates of opioid prescribing were measured and compared with rates of nonopioid pain medication (ie, nonsteroidal anti-inflammatory drugs) prescribing and referral to physical therapy. All rates were estimated within the same physician using physician fixed effects, adjusting for patient, appointment, and seasonal characteristics.ResultsAmong 678 319 primary care appointments (642 262 patients; 392 422 [61.1%] women) with 5603 primary care physicians, the likelihood that an appointment resulted in an opioid prescription increased by 33% as the workday progressed (1st to 3rd appointment, 4.0% [95% CI, 3.9%-4.1%] vs 19th to 21st appointment, 5.3% [95% CI. 5.1%-5.6%]; P < .001) and by 17% as appointments ran behind schedule (0-9 minutes late, 4.4% [95% CI, 4.3%-4.6%] vs ≥60 minutes late, 5.2% [95% CI, 5.0%-5.4%]; P < .001). Prescribing of nonsteroidal anti-inflammatory drugs and referral to physical therapy did not display similar patterns.Conclusions and relevanceThese findings suggest that, even within an individual physician's schedule, clinical decision-making for opioid prescribing varies by the timing and lateness of appointments.
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Project description:BackgroundPrimary care nurses are well-suited to provide care management for common mental disorders, but their practices depend on context. Various strategies can be considered to improve the adoption of nursing care manager activities, but data from implementation studies rarely address strategy formulation.AimTo analyze the influence of contextual factors on strategy formulation to improve the adoption of care manager activities by primary care nurses.MethodA qualitative multiple case study in three primary care clinics was carried out. Data were collected through individual interviews (n = 32) and observations (n = 7), working group meetings, and relevant documents. Thematic analysis was conducted.ResultsContextual factors influenced strategy formulation through organizational readiness for change, which resulted from tension for change and perceived organizational ability to implement change. Tension for change was generated through the perceived gap between patient needs and service availability, perceived compatibility with the nurses work environment, and their assessment of their capacity to perform care manager activities or acquire the necessary skills.ConclusionFuture studies should give sufficient attention to implementation strategy formulation and consider the dynamic role of organizational readiness for change when facilitating the adoption of evidence-based practices for common mental disorders in primary care.
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Project description:BackgroundClinician 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.MethodsOpioid 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.ResultsTwo-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).ConclusionsAugmenting 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 registrationNot applicable.
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| S-EPMC7068902 | biostudies-literature