Surgeons' views of peer comparison and guideline-based feedback on postsurgery opioid prescriptions: a qualitative investigation.

BACKGROUND: Excess opioid prescribing after surgery can lead to prolonged opioid use and diversion. We interviewed surgeons who were part of a three-group cluster-randomised controlled trial aimed at reducing prescribed opioid quantities after surgery via two versions of a monthly emailed behavioural 'nudge' (messages encouraging but not mandating compliance with social norms and clinical guidelines around prescribing) at the end of the implementation year in order to understand surgeons' reasoning for changing or continuing their prescribing behaviour as a result of the intervention and the context for their rationale. METHODS: The study took place at a large healthcare system in northern California with surgeons from three surgical specialties-orthopaedics, obstetrics/gynaecology and general surgery. Following the intervention period, we conducted semistructured interviews with 36 surgeons who had participated in the trial, ensuring representation across trial arm, specialty and changes in prescribing quantities over the year. Interviews focused on reactions to the nudges, impacts of the nudges on prescribing behaviours and other factors impacting prescribing. Three study team members coded and analysed the transcribed interviews. RESULTS: Nudges were equally effective in reducing postsurgical opioid prescribing across surgical specialties and between intervention arms. Surgeons were generally receptive to the nudge intervention, noting that it reduced the size of their discharge opioid prescriptions by improving their awareness and intentionality around prescribing. Most were unaware that clinical guidelines around opioid prescribing existed. Some had reservations regarding the accuracy and context of information provided in the nudges, the prescription quantities encouraged by the nudges and feelings of being watched or admonished. A few described discussing the nudges with colleagues. Respondents emphasised that the prescribing behaviours are informed by individual clinical experience and patient-related and procedure-related factors. CONCLUSIONS: Surgeons were open to learning about their prescribing behaviour through comparisons to guidelines or peer behaviour and incorporating this feedback as one of several factors that guide discharge opioid prescribing. Increasing awareness of clinical guidelines around opioid prescribing is important for curbing postsurgical opioid overprescribing. TRIAL REGISTRATION NUMBER: NCT05070338.

Peer Comparison or Guideline-Based Feedback and Postsurgery Opioid Prescriptions: A Randomized Clinical Trial.

Importance: Excess opioid prescribing after surgery can result in prolonged use and diversion. Email feedback based on social norms may reduce the number of pills prescribed. Objective: To assess the effectiveness of 2 social norm-based interventions on reducing guideline-discordant opioid prescribing after surgery. Design, Setting, and Participants: This cluster randomized clinical trial conducted at a large health care delivery system in northern California between October 2021 and October 2022 included general, obstetric/gynecologic, and orthopedic surgeons with patients aged 18 years or older discharged to home with an oral opioid prescription. Interventions: In 19 hospitals, 3 surgical specialties (general, orthopedic, and obstetric/gynecologic) were randomly assigned to a control group or 1 of 2 interventions. The guidelines intervention provided email feedback to surgeons on opioid prescribing relative to institutionally endorsed guidelines; the peer comparison intervention provided email feedback on opioid prescribing relative to that of peer surgeons. Emails were sent to surgeons with at least 2 guideline-discordant prescriptions in the previous month. The control group had no intervention. Main Outcome and Measures: The probability that a discharged patient was prescribed a quantity of opioids above the guideline for the respective procedure during the 12 intervention months. Results: There were 38 235 patients discharged from 640 surgeons during the 12-month intervention period. Control-group surgeons prescribed above guidelines 36.8% of the time during the intervention period compared with 27.5% and 25.4% among surgeons in the peer comparison and guidelines arms, respectively. In adjusted models, the peer comparison intervention reduced guideline-discordant prescribing by 5.8 percentage points (95% CI, -10.5 to -1.1; P = .03) and the guidelines intervention reduced it by 4.7 percentage points (95% CI, -9.4 to -0.1; P = .05). Effects were driven by surgeons who performed more surgeries and had more guideline-discordant prescribing at baseline. There was no significant difference between interventions. Conclusions and Relevance: In this cluster randomized clinical trial, email feedback based on either guidelines or peer comparison reduced opioid prescribing after surgery. Guideline-based feedback was as effective as peer comparison-based feedback. These interventions are simple, low-cost, and scalable, and may reduce downstream opioid misuse. Trial Registration: ClinicalTrials.gov NCT05070338.

Perceived loss of support to community caregivers during the COVID-19 pandemic in the United States.

Coronavirus disease (COVID-19) had a negative impact on the health and well-being of community caregivers. Few studies examine the pandemic's negative impact on the availability of social networks of caregivers. This article uses data collected during COVID-19 before vaccination to examine caregivers' reports of perceived lost and reduced network support. We assessed the personal networks of a nationally representative sample of 2214 community caregivers in the United States. We analyzed associations between caregiving factors and caregivers' perceptions of lost and reduced network support. Changes in care recipient living circumstances during COVID-19, longer-term caregiving, care recipient hearing/vision/mobility problems, caregiver travel/socializing restrictions, caregiver race/ethnicity, caregiver income, caregiver age, network connectivity, family relationships, and network members' age were associated with perceived lost/reduced support during the pandemic. Findings provide insights for the development of social network interventions to support caregivers and help them cultivate support networks resilient to public health crises.

Increased Care Provision and Caregiver Wellbeing: Moderation by Changes in Social Network Care Provision.

OBJECTIVES: Previous research links increased care provision to worse wellbeing among family and friend caregivers, both before and during the coronavirus disease 2019 (COVID-19) pandemic. We expand on this by incorporating data on caregivers' social networks and exploring the relationships between own and network changes in care during the pandemic and caregiver wellbeing. METHODS: We use nationally representative data from 1,876 family and friend caregivers in the first wave of our Care Network Connections over Time study (fielded 12/17/2020-1/4/2021) who had provided care continuously since before the COVID-19 pandemic began. Caregivers were asked about the amount of care that they and each member of their social networks were providing at the time of the survey relative to before the pandemic. We use multivariate regression models to examine the associations between five caregiver wellbeing outcomes and changes in care, and explore the moderating role of networks' changes in care. RESULTS: Among caregivers who had provided care since prior to the pandemic, most increased (42.0%) or maintained the same (40.8%) care. Their networks also typically increased (33.4%) or maintained (46.5%) care. Increasing one's own care provision was associated with higher levels of anxiety, depression, loneliness, and emotional difficulty than maintaining stable care. Among those who increased care, these levels were highest when the network also increased or decreased care. DISCUSSION: Increased care provision was most strongly associated with poor caregiver wellbeing in contexts where caregivers' social networks also changed care provisions. Supports for caregivers undertaking additional care tasks should take into account caregivers' networks.

Change in Caregiving to Older Adults During the COVID-19 Pandemic: Differences by Dementia Status.

We use a nationally representative study of 3451 adults who provided assistance to a relative or friend age 50 or older immediately prior to the Coronavirus Disease 2019 (COVID-19) pandemic to explore changes to care provisions, use of services, and support networks. While we see turnover in assistance during a retrospectively assessed 12-month time period, respondents exited or adopted caregiving roles primarily for reasons unrelated to the pandemic. About two thirds of caregivers' social networks remained unchanged and, of those that did change, only half lost network members without gaining others. Changes in care settings and use of support services were uncommon. Caregivers to persons with dementia may have been more adversely affected than other caregivers as they were more likely to experience loss of social ties, potentially performing more care activities without the full support system they had in place prior to the pandemic.

Disparities in postoperative opioid prescribing by race and ethnicity: an electronic health records-based observational study from Northern California, 2015-2020.

OBJECTIVES: To examine racial and ethnic disparities in postoperative opioid prescribing. DATA SOURCES: Electronic health records (EHR) data across 24 hospitals from a healthcare delivery system in Northern California from January 1, 2015 to February 2, 2020 (study period). STUDY DESIGN: Cross-sectional, secondary data analyses were conducted to examine differences by race and ethnicity in opioid prescribing, measured as morphine milligram equivalents (MME), among patients who underwent select, but commonly performed, surgical procedures. Linear regression models included adjustment for factors that would likely influence prescribing decisions and race and ethnicity-specific propensity weights. Opioid prescribing, overall and by race and ethnicity, was also compared to postoperative opioid guidelines. DATA EXTRACTION: Data were extracted from the EHR on adult patients undergoing a procedure during the study period, discharged to home with an opioid prescription. PRINCIPAL FINDINGS: Among 61,564 patients, on adjusted regression analysis, non-Hispanic Black (NHB) patients received prescriptions with higher mean MME than non-Hispanic white (NHW) patients (+ 6.4% [95% confidence interval: 4.4%, 8.3%]), whereas Hispanic and non-Hispanic Asian patients received lower mean MME (-4.2% [-5.1%, -3.2%] and - 3.6% [-4.8%, -2.3%], respectively). Nevertheless, 72.8% of all patients received prescriptions above guidelines, ranging from 71.0 to 80.3% by race and ethnicity. Disparities in prescribing were eliminated among Hispanic and NHB patients versus NHW patients when prescriptions were written within guideline recommendations. CONCLUSIONS: Racial and ethnic disparities in opioid prescribing exist in the postoperative setting, yet all groups received prescriptions above guideline recommendations. Policies encouraging guideline-based prescribing may reduce disparities and overall excess prescribing.

Evaluating the effectiveness of email-based nudges to reduce postoperative opioid prescribing: study protocol of a randomised controlled trial.

INTRODUCTION: Surgical patients are commonly prescribed more opioids at discharge than needed to manage their postoperative pain. These excess opioids increase the risks of new persistent opioid use, opioid-induced ventilatory impairment and opioid diversion. This study tests the effectiveness of two behavioural nudges, one based on peer behaviour and one based on best practice guidelines, in reducing excessive postoperative opioid prescriptions. METHODS AND ANALYSIS: The study will be conducted at 19 hospitals within a large healthcare delivery system in northern California, USA. Three surgical specialties (general surgery, orthopaedic surgery and obstetric/gynaecological surgery) at each hospital will be randomised either to a control group or to one of two active intervention arms. One intervention is grounded in the theory of injunctive norms, and provides feedback to surgeons on their postoperative opioid prescribing relative to prescribing guidelines endorsed by their institution. The other intervention draws from the theory of descriptive norms, and provides feedback similar to the first intervention but using peers' behaviour rather than guidelines as the benchmark for the surgeon's prescribing behaviour. The interventions will be delivered by a monthly email. Both interventions will be active for twelve months. The effects of each intervention relative to the control group and to each other will be tested using a four-level hierarchical model adjusted for multiple hypothesis testing. ETHICS AND DISSEMINATION: Using behavioural nudges rather than rigid policy changes allows us to target excessive prescribing without preventing clinicians from using their clinical judgement to address patient pain. All study activities have been approved by the RAND Human Subjects Protection Committee (ID 2018-0988). Findings will be disseminated through conference presentations, peer-reviewed publications and social media accounts. TRIAL REGISTRATION NUMBER: NCT05070338.

Assessment of Postoperative Opioid Prescriptions Before and After Implementation of a Mandatory Prescription Drug Monitoring Program.

Importance: Legislation mandating consultation with a prescription drug monitoring program (PDMP) was implemented in California on October 2, 2018. This mandate requires PDMP consultation before prescribing a controlled substance and integrates electronic health record (EHR)-based alerts; prescribers are exempt from the mandate if they prescribe no more than a 5-day postoperative opioid supply. Although previous studies have examined the consequences of mandated PDMP consultation, few have specifically analyzed changes in postoperative opioid prescribing after mandate implementation. Objective: To examine whether the implementation of mandatory PDMP consultation with concurrent EHR-based alerts was associated with changes in postoperative opioid quantities prescribed at discharge. Design Setting and Participants: This cross-sectional study performed an interrupted time series analysis of opioid prescribing patterns within a large health care system (Sutter Health) in northern California between January 1, 2015, and February 1, 2020. A total of 93 760 adult patients who received an opioid prescription at discharge after undergoing general, obstetric and gynecologic (obstetric/gynecologic), or orthopedic surgery were included. Exposures: Mandatory PDMP consultation before opioid prescribing, with concurrent integration of an EHR alert. Prescribers are exempt from this mandate if prescribing no more than a 5-day opioid supply postoperatively. Main Outcomes and Measures: The primary outcome was the total quantity of opioid medications (morphine milligram equivalents [MMEs] and number of opioid tablets) prescribed at discharge before and after implementation of the PDMP mandate, with separate analyses by surgical specialty (general, obstetric/gynecologic, and orthopedic) and most common surgical procedure within each specialty (laparoscopic cholecystectomy, cesarean delivery, and knee arthroscopy). The secondary outcome was the proportion of prescriptions with a duration of longer than 5 days. Results: Of 93 760 patients (mean [SD] age, 46.7 [17.6] years; 67.9% female) who received an opioid prescription at discharge, 65 911 received prescriptions before PDMP mandate implementation, and 27 849 received prescriptions after implementation. Most patients received general or obstetric/gynecologic surgery (48.6% and 30.1%, respectively), did not have diabetes (90.3%), and had never smoked (66.0%). Before the PDMP mandate was implemented, a decreasing pattern in opioid prescribing quantities was already occurring. During the quarter of implementation, total MMEs prescribed at discharge further decreased for all 3 surgical specialties (eg, medians for general surgery: ß = -10.00 [95% CI, -19.52 to -0.48]; obstetric/gynecologic surgery: ß = -18.65 [95% CI, -22.00 to -15.30]; and orthopedic surgery: ß = -30.59 [95% CI, -40.19 to -21.00]) after adjusting for the preimplementation prescribing pattern. The total number of tablets prescribed also decreased across specialties (eg, medians for general surgery: ß = -3.02 [95% CI, -3.47 to -2.57]; obstetric/gynecologic surgery: ß = -4.86 [95% CI, -5.38 to -4.34]; and orthopedic surgery: ß = -4.06 [95% CI, -5.07 to -3.04]) compared with the quarters before implementation. These reductions were not consistent across the most common surgical procedures. For cesarean delivery, the median number of tablets prescribed decreased during the quarter of implementation (ß = -10.00; 95% CI, -10.10 to -9.90), but median MMEs did not (ß = 0; 95% CI, -9.97 to 9.97), whereas decreases were observed in both median MMEs and number of tablets prescribed (MMEs: ß = -33.33 [95% CI, -38.48 to -28.19]; tablets: ß = -10.00 [95% CI, -11.17 to -8.82]) for laparoscopic cholecystectomy. For knee arthroscopy, no decreases were found in either median MMEs or number of tablets prescribed (MMEs: ß = 10.00 [95% CI, -22.33 to 42.33; tablets: ß = 0.83; 95% CI, -3.39 to 5.05). The proportion of prescriptions written for longer than 5 days also decreased significantly during the quarter of implementation across all 3 surgical specialties. Conclusions and Relevance: In this cross-sectional study, the implementation of mandatory PDMP consultation with a concurrent EHR-based alert was associated with an immediate decrease in opioid prescribing across the 3 surgical specialties. These findings might be explained by prescribers' attempts to meet the mandate exemption and bypass PDMP consultation rather than the PDMP consultation itself. Although policies coupled with EHR alerts may be associated with changes in postoperative opioid prescribing behavior, they need to be well designed to optimize evidence-based opioid prescribing.