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.

Risk of Gastric Adenocarcinoma in a Multiethnic Population Undergoing Routine Care: An Electronic Health Records Cohort Study.

BACKGROUND: Gastric adenocarcinoma (GAC) is often diagnosed at advanced stages and portends a poor prognosis. We hypothesized that electronic health records (EHR) could be leveraged to identify individuals at highest risk for GAC from the population seeking routine care. METHODS: This was a retrospective cohort study, with endpoint of GAC incidence as ascertained through linkage to an institutional tumor registry. We utilized 2010 to 2020 data from the Palo Alto Medical Foundation, a large multispecialty practice serving Northern California. The analytic cohort comprised individuals ages 40-75 receiving regular ambulatory care. Variables collected included demographic, medical, pharmaceutical, social, and familial data. Electronic phenotyping was based on rule-based methods. RESULTS: The cohort comprised 316,044 individuals and approximately 2 million person-years (p-y) of observation. 157 incident GACs occurred (incidence 7.9 per 100,000 p-y), of which 102 were non-cardia GACs (incidence 5.1 per 100,000 p-y). In multivariable analysis, male sex [HR: 2.2, 95% confidence interval (CI): 1.6-3.1], older age, Asian race (HR: 2.5, 95% CI: 1.7-3.7), Hispanic ethnicity (HR: 1.9, 95% CI: 1.1-3.3), atrophic gastritis (HR: 4.6, 95% CI: 2.2-9.3), and anemia (HR: 1.9, 95% CI: 1.3-2.6) were associated with GAC risk; use of NSAID was inversely associated (HR: 0.3, 95% CI: 0.2-0.5). Older age, Asian race, Hispanic ethnicity, atrophic gastritis, and anemia were associated with non-cardia GAC. CONCLUSIONS: Routine EHR data can stratify the general population for GAC risk. IMPACT: Such methods may help triage populations for targeted screening efforts, such as upper endoscopy.

Trends in Detection of Adenoma and Sessile Serrated Lesions Over a Decade in a Community-Based Healthcare System.

INTRODUCTION: Adenoma detection rate (ADR) is an accepted benchmark for screening colonoscopy. Factors driving ADR and its relationship with sessile serrated lesions detection rate (SSLDR) over time remain unclear. We aim to explore patient, physician, and procedural influences on ADR and SSLDR trends. METHODS: Using a large healthcare system in northern California from January 2010 to December 2020, a total of 146,818 screening colonoscopies performed by 33 endoscopists were included. ADR and SSLDR were calculated over time using natural language processing. Logistic regression was used to calculate the odd ratios of patient demographics, physician attributes, and procedural details over time. RESULTS: Between 2010 and 2020, ADR rose from 19.4% to 44.4%, whereas SSLDR increased from 1.6% to 11.6%. ADR increased by 2.7% per year (95% confidence interval 1.9%-3.4%), and SSLDR increased by 1.0% per year (95% confidence interval 0.8%-1.2%). Higher ADR was associated with older age, male sex, higher body mass index, current smoker, higher comorbidities, and high-risk colonoscopy. By contrast, SSLDR was associated with younger age, female sex, white race, and fewer comorbidities. Patient and procedure characteristics did not significantly change over time ( P -interaction >0.05). Longer years in practice and male physician were associated with lower ADR and SSLDR in 2010, but significantly attenuated over time ( P -interaction <0.05). DISCUSSION: Both ADR and SSLDR have increased over time. Patient and procedure factors did not significantly change over time. Male endoscopist and longer years in practice had lower initial ADR and SSLDR, but significantly lessened over time.

Factors associated with adherence to provider referrals for lung cancer screening with low dose computed tomography before and during COVID-19 pandemic.

BACKGROUND: Lung cancer has been the leading cause of American deaths from cancer. Although Medicare started covering lung cancer screening (LCS) with low-dose computed tomography (LDCT) in 2015, the uptake of LDCT-LCS remains low. This study examines the changes in adherence to provider referrals for LDCT-LCS and the factors at patient, provider, and health system levels that influence the completion rate of LDCT-LCS orders before and during the COVID-19 pandemic. METHODS: Our study examined electronic health record data (December 2013 - December 2020) from a large, community-based clinical healthcare delivery system in California. We plotted monthly trends in the frequency of LDCT-LCS orders and completion rate and compared the annual LDCT-LCS completion rate between LCS-eligible, LCS-ineligible, and unknown eligibility groups. We then explored multilevel factors associated with the completion of LDCT-LCS orders using hierarchical generalized linear models. RESULTS: There was an increase in LDCT-LCS orders (N = 12,469) from 2013 to 2019, followed by a sharp decline in March 2020 due to the onset of the COVID-19 pandemic. Thereafter, LDCT-LCS orders slowly increased again in June 2020. The completion rate of LDCT-LCS increased from 0% in December 2013 to approximately 70% in 2018-2019 but declined to 50-60% in 2020 during the pandemic. Ineligible patients had lower completion rates of LDCT-LCS. Patients who were new to the healthcare system, Black, received the LDCT-LCS order in the first few years after Medicare coverage (2016 or 2017), during the pandemic, had major comorbidities, and smoked less than 30 pack-years were less likely to complete an order. Patients were more likely to complete LDCT-LCS orders if they were younger, received the LDCT-LCS order from a physician (vs. nonphysician provider), from family medicine or other specialties (vs. internal medicine), or saw a provider with more experience in LDCT-LCS. CONCLUSIONS: The beginning of the COVID-19 pandemic largely decreased the volume of LDCT-LCS orders, but rates have since been slowing recovering. Future interventions to improve lung cancer screening should consider doing more targeted outreach to new patients and Black patients as well as providing additional education to nonphysician practitioners and those providers with lower rates of LDCT-LCS referral orders.

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.

Relationships and resilience at work and at home: Impact of relational coordination on clinician work-life balance and well-being in times of crisis.

BACKGROUND: The COVID-19 pandemic has been an unusually comprehensive crisis that has taken a toll on people in their roles both at work and at home, giving rise to a new normal. PURPOSE: Relational coordination theory shows how communicating and relating for the purpose of task integration drives positive outcomes for workers, their clients, and their employers. The ecological theory of work-family spillover shows how relational dynamics from work spillover into family life, and vice versa. We build upon these two theories to understand how relationships at work impact work-life balance and worker well-being, especially in times of crisis. METHODOLOGY: This study was based on surveys of clinicians affiliated with a large California health system during the COVID-19 pandemic. Mediation and multilevel logistic regression models were used to assess how relational coordination among colleagues impacts well-being (job satisfaction and lack of burnout) through its effects on work-life balance (schedule control and personal time). RESULTS: A 1-point increase in relational coordination tripled clinician odds of having schedule control ( OR = 3.33, p < .001) and nearly doubled the odds of having adequate personal time ( OR = 1.83, p < .001). A 1-point increase in relational coordination nearly quadrupled odds of being satisfied with their job ( OR = 3.92, p < .001) and decreased odds of burnout by 64% ( OR = 0.36, p < .001). The impact of relational coordination on worker well-being was mediated by greater schedule control and personal time. CONCLUSION: Relational coordination among colleagues impacts worker well-being by enabling greater control over one's schedule and more personal time, thus creating a positive spillover from work to home in times of crisis. PRACTICE IMPLICATIONS: In times of crisis, leaders should prioritize relational coordination among colleagues in order to support their resilience both at work and at home.

Provider and patient perspectives to improve lung cancer screening with low-dose computed tomography 5 years after Medicare coverage: a qualitative study.

Lung cancer remains the leading cause of cancer-related deaths for both men and women in the U.S., yet uptake of preventive cancer screening for people with a heavy smoking history remains low. This qualitative interview study of patients and providers from a large ambulatory healthcare system in northern and central California reevaluated perceptions of lung cancer screening with low-dose computed tomography (LCS-LDCT) 5 years after Medicare coverage. We hypothesized that initial attitudes and barriers within the LCS-LDCT discussion and process have likely persisted with little change since Medicare coverage and we sought to understand how these attitudes continue to impact effective implementation and uptake of screening with the goal of identifying opportunities for improvement. Between 2019 and 2020, interviews were conducted with 10 primary care physicians and 30 patients using semi-structured interview guides. Providers and patients expressed that they were both aware and supportive of LCS-LDCT, a change from earlier studies, but continued to report little to no shared decision making nor use of a decision aid despite being Medicare requirements. Creation and incorporation of a single-page, graphic heavy decision aid may help address many of the persistent barriers around implementation for both providers and patients. Given recently expanded guidelines from the U.S. Preventive Services Task Force for LCS-LDCT screening and their coverage by Medicare, it is important for healthcare systems to understand provider and patient perceptions to further improve the implementation of LCS-LDCT to ultimately reduce lung cancer mortality.

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.

Effects of Smoking on SARS-CoV-2 Positivity: A Study of a Large Health System in Northern and Central California.

Introduction: COVID-19 continues to impact vulnerable populations disproportionally. Identifying modifiable risk factors could lead to targeted interventions to reduce infections. The purpose of this study is to identify risk factors for testing positive for SARS-CoV-2. Methods: Using electronic health records collected from a large ambulatory care system in northern and central California, the study identified patients who had a test for SARS-CoV-2 between 2/20/2020 and 3/31/2021. The adjusted effect of active and passive smoking and other risk factors on the probability of testing positive for SARS-CoV-2 were estimated using multivariable logistic regression. Analyses were conducted in 2021. Results: Of 556 690 eligible patients in our sample, 70 564 (12.7%) patients tested positive for SARS-CoV-2. Younger age, being male, racial/ethnic minorities, and having mild major comorbidities were significantly associated with a positive SARS-CoV-2 test. Current smokers (adjusted OR: 0.69, 95% CI: 0.66-0.73) and former smokers (adjusted OR: 0.92, 95% CI: 0.89-0.95) were less likely than nonsmokers to be lab-confirmed positive, but no statistically significant differences were found when comparing passive smokers with non-smokers. The patients with missing smoking status (25.7%) were more likely to be members of vulnerable populations with major comorbidities (adjusted OR ranges from severe: 2.52, 95% CI = 2.36-2.69 to mild: 3.28, 95% CI = 3.09-3.48), lower income (adjusted OR: 0.85, 95% CI: 0.85-0.86), aged 80 years or older (adjusted OR: 1.11, 95% CI: 1.07-1.16), have less access to primary care (adjusted OR: 0.07, 95% CI: 0.07-0.07), and identify as racial ethnic minorities (adjusted OR ranges from Hispanic: 1.61, 95% CI = 1.56-1.65 to Non-Hispanic Black: 2.60, 95% CI = 2.5-2.69). Conclusions: Our findings suggest that the odds of testing positive for SARS-CoV-2 were significantly lower in smokers compared to nonsmokers. Other risk factors include missing data on smoking status, being under 18, being male, being a racial/ethnic minority, and having mild major comorbidities. Since those with missing data on smoking status were more likely to be members of vulnerable populations with higher smoking rates, the risk of testing positive for SARS-CoV-2 among smokers may have been underestimated due to missing data on smoking status. Future studies should investigate the risk of severe outcomes among active and passive smokers, the role that exposure to tobacco smoke constitutes among nonsmokers, the role of comorbidities in COVID-19 disease course, and health disparities experienced by disadvantaged groups.

Patching for Amblyopia: A Novel Occlusion Dose Monitor for Glasses Wearers to Track Adherence.

PURPOSE: To evaluate the acceptability of a novel occlusion dose monitor (ODM) for glasses wearers with amblyopia. The novel ODM consists of a patch worn over the glasses, a logger affixed to the glasses frame, and a system that processes the logged data for interpretation by an algorithm. METHODS: In this pilot study, pediatric amblyopes (ages 2-8) were recruited for a cosmesis test of a sham logger for a 1-week period. Patients were then recruited to test a functional ODM for a 2-week period and their parents were asked to document patch wear in a diary. Feedback was solicited using a modified Pediatric Eye Disease Investigator Group (PEDIG) Amblyopia Treatment Index (ATI). RESULTS: Five children tested the sham logger and eight children tested the functional ODM. Early feedback recommended esthetic modifications including the use of colored shrink wrap to affix the logger to the glasses' frame. The modified patch did not reduce patients' willingness to wear the patch as compared to a standard patch. ODM-recorded wear correlated with diary-recorded wear. The specific timestamps for wear were identical for patients with good ODM-diary concordance. CONCLUSIONS: The novel ODM is acceptable for parents and children and correlates with diary records of patch wear.

Women, Younger Clinicians', and Caregivers' Experiences of Burnout and Well-being During COVID-19 in a US Healthcare System.

BACKGROUND: The COVID-19 pandemic brought rapid changes to the work and personal lives of clinicians. OBJECTIVE: To assess clinician burnout and well-being during the COVID-19 pandemic and guide healthcare system improvement efforts. DESIGN: A survey asking about clinician burnout, well-being, and work experiences. PARTICIPANTS: Surveys distributed to 8141 clinicians from June to August 2020 in 9 medical groups and 17 hospitals at Sutter Health, a large healthcare system in Northern California. MAIN MEASURES: Burnout was the primary outcome, and other indicators of well-being and work experience were also measured. Descriptive statistics and multivariate logistic regression analyses were performed. All statistical inferences were based on weighted estimates adjusting for response bias. KEY RESULTS: A total of 3176 clinicians (39.0%) responded to the survey. Weighted results showed 29.2% reported burnout, and burnout was more common among women than among men (39.0% vs. 22.7%, p<0.01). In multivariate models, being a woman was associated with increased odds of reporting burnout (OR=2.19, 95% CI: 1.51-3.17) and being 55+ years old with lower odds (OR=0.54, 95% CI: 0.34-0.87). More women than men reported that childcare/caregiving was impacting work (32.9% vs. 19.0%, p<0.01). Even after controlling for age and gender, clinicians who reported childcare/caregiving responsibilities impacted their work had substantially higher odds of reporting burnout (OR=2.19, 95% CI: 1.54-3.11). Other factors associated with higher burnout included worrying about safety at work, being given additional work tasks, concern about losing one's job, and working in emergency medicine or radiology. Protective factors included believing one's concerns will be acted upon and feeling highly valued. CONCLUSIONS: This large survey found the pandemic disproportionally impacted women, younger clinicians, and those whose caregiving responsibilities impacted their work. These results highlight the need for a holistic and targeted strategy for improving clinician well-being that addresses the needs of women, younger clinicians, and those with caregiving responsibilities.

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.

Patient-Centric Scheduling With the Implementation of Health Information Technology to Improve the Patient Experience and Access to Care: Retrospective Case-Control Analysis.

BACKGROUND: Cancellations and rescheduling of doctor's appointments are common. An automated rescheduling system has the potential to facilitate the rescheduling process so that newly opened slots are promptly filled by patients who need and can take the slot. Building on an existing online patient portal, a large health care system adopted an automated rescheduling system, Fast Pass, that sends out an earlier appointment offer to patients via email or SMS text messaging and allows patients to reschedule their appointment through the online portal. OBJECTIVE: We examined the uptake of Fast Pass at its early stage of implementation. We assessed program features and patient and visit characteristics associated with higher levels of Fast Pass utilization and the association between Fast Pass use and no-show and cancellation rates. METHODS: This study was a retrospective analysis of Fast Pass offers sent between July and December 2018. Multivariable logistic regression was used to assess the independent contribution of program, patient, and visit characteristics on the likelihood of accepting an offer. We then assessed the appointment outcome (completion, cancellation, or no-show) of Fast Pass offered appointments compared to appointments with the same patient and visit characteristics, but without an offer. RESULTS: Of 177,311 Fast Pass offers sent, 14,717 (8.3%) were accepted. Overall, there was a 1.3 percentage point (38%) reduction in no-show rates among Fast Pass accepted appointments compared to other appointments with matching characteristics (P<.001). The offers were more likely to be accepted if they were sent in the evening (versus early morning), the first (versus repeated) offer for the same appointment, for a slot 1-31 days ahead (versus same-day), for later in a day (versus before 10am), for a primary care (versus specialty) visit, sent via SMS text messaging (versus email only), for an appointment made through the online patient portal (versus via phone call or in-person), or for younger adults aged 18-49 years (versus those aged 65 years or older; all at P<.001). Factors negatively associated with offer acceptance were a higher number of comorbidities (P=.02) and visits scheduled for chronic conditions (versus acute conditions only; P=.002). CONCLUSIONS: An automated rescheduling system can improve patients' access by reducing wait times for an appointment, with an added benefit of reducing no-shows by serving as a reminder of an upcoming appointment. Future modifications, such as increasing the adoption of SMS text messaging offers and targeting older adults or patients with complex conditions, may make the system more patient-centered and help promote wider utilization.

Smoking-Cessation Interventions After Lung Cancer Screening Guideline Change.

INTRODUCTION: Recent guideline changes for lung cancer screening with low-dose computed tomography recommend smoking-cessation interventions be done in parallel with screening. The purpose of this study is to determine the post-guideline rates of smoking-cessation interventions among patients eligible and ineligible for lung cancer screening. METHODS: Using electronic health records collected from a large ambulatory care system in northern California between 2010 and 2017, authors identified new patients who were current smokers aged 55-80 years visiting a primary care provider, and grouped patients into lung cancer screening-eligible heavy smokers, screening-ineligible moderate smokers, and screening-ineligible light smokers. Screening-eligible smokers versus screening-ineligible smokers were compared in receipt of smoking-cessation interventions before (2010-2013) and after (2014-2017) the guideline change, overall and by intervention type (formal counseling, informal counseling, pharmacotherapy) using hierarchical generalized linear models. Analyses were conducted in 2018-2019. RESULTS: After the guideline change, the likelihood of receiving any smoking-cessation intervention (OR=1.44, 95% CI=1.28, 1.61, p<0.05), informal counseling (OR=1.29, 95% CI=1.15, 1.46, p<0.05), and pharmacotherapy (OR=1.24, 95% CI=1.02, 1.50, p<0.05) during a new patient visit significantly increased, with the increase not varying by level of smoking. For formal counseling, the post-guideline increase was greater for screening-eligible heavy smokers (OR=3.15, 95% CI=1.18, 8.36, p<0.05) and moderate smokers (OR=3.58, 95% CI=1.29, 9.95, p<0.05) relative to light smokers. CONCLUSIONS: Smoking-cessation interventions increased after new lung cancer screening guidelines. Given the sizable adverse impacts of smoking on morbidity and mortality, small increases in the implementation of smoking-cessation interventions could have substantial public health benefits.

Scaling Lean in primary care: impacts on system performance.

OBJECTIVES: We examined a wide range of performance outcomes after Lean methodology-a leading strategy to enhance efficiency and patient value-was implemented and scaled across all primary care clinics in a nonprofit, ambulatory care delivery system. STUDY DESIGN: Using a stepped wedge approach, we assessed changes associated with the phased introduction of Lean-based redesigns across 46 primary care departments in 17 different clinic locations. Longitudinal analysis of operational metrics included: workflow efficiency, physician productivity, operating expenses, clinical quality, and satisfaction among patients, physicians, and staff. METHODS: We used interrupted time series analysis with generalized linear mixed models to estimate Lean impacts over time. Projected outcomes in the absence of changes (ie, counterfactuals) were compared with observed outcomes after Lean redesigns were implemented, and mean differences were assessed using 95% bias-corrected bootstrap confidence intervals (CIs). RESULTS: We observed systemwide improvements in workflow efficiencies (eg, 95% CI, 5.8-10.4) and physician productivity (95% CI, 3.9-27.2), with no adverse effects on clinical quality. Patient satisfaction increased with respect to access to care (95% CI, 15.2-20.7), handling of personal issues (95% CI, 2.1-6.9), and overall experience of care (95% CI, 11.0-17.0), but decreased with respect to interactions with care providers (95% CI, -13.4 to -5.7). Departmental operating costs decreased, and annual staff and physician satisfaction scores increased particularly among early adopters, with key improvements in employee engagement, connection to purpose, relationships with staff, and physician time spent working. CONCLUSIONS: Lean redesigns can benefit primary care patients, physicians, and staff without negatively impacting the quality of clinical care. Study results may lead other delivery system leaders to innovate using Lean techniques and may further enhance support for Lean learning among public and private payers.

Acceptance of lean redesigns in primary care: A contextual analysis.

BACKGROUND: Lean is a leading change strategy used in health care to achieve short-term efficiency and quality improvement while promising longer-term system transformation. Most research examines Lean intervention to address isolated problems, rather than to achieve broader systemic changes to care delivery. Moreover, no studies examine contextual influences on system-wide Lean implementation efforts in primary care. PURPOSE: The aim of this study was to identify contextual factors most critical to implementing and scaling Lean redesigns across all primary care clinics in a large, ambulatory care delivery system. METHODOLOGY/APPROACH: Over 100 interviews and focus groups were conducted with frontline physicians, clinical staff, and operational leaders. Data analysis was guided by a modified Consolidated Framework for Implementation Research (CFIR), a popular implementation science framework. On the basis of expert recommendations, the modified framework targets factors influencing the implementation of process redesigns. This modified framework, the CFIR-PR, informed our identification of contextual factors that most impacted Lean acceptance among frontline physicians and staff. FINDINGS: Several domains identified by the CFIR-PR were critical to acceptance of Lean redesigns. Regarding the implementation process acceptance was influenced by time and intensity of exposure to changes, "top-down" versus "bottom-up" implementation styles, and degrees of employee engagement in developing new workflows. Important factors in the inner setting were the clinic's culture and style of leadership, along with availability of information about Lean's effectiveness. Last, implementation efforts were impacted by individual and team characteristics regarding changed work roles and related issues of professional identity, authority, and autonomy. PRACTICE IMPLICATIONS: This study underscores the need for change leaders to consider the contextual factors that surround efforts to implement Lean in primary care. As Lean redesigns are scaled across a system, special attention is warranted with respect to the implementation approach, internal clinic setting, and implications for professional roles and identities of physicians and staff.

Effect of Organizational Culture on Patient Access, Care Continuity, and Experience of Primary Care.

This study examined relationships between organizational culture and patient-centered outcomes in primary care. Generalized least squares regression was used to analyze patient access, care continuity, and reported experiences of care among 357 physicians in 41 primary care departments. Compared with a "Group-oriented" culture, a "Rational" culture type was associated with longer appointment wait times, and both "Hierarchical" and "Developmental" culture types were associated with less care continuity, but better patient experiences with care. Understanding the unique effects of organizational culture can enhance the delivery of more patient-centered care.

Implementing a Lean Management System in Primary Care: Facilitators and Barriers From the Front Lines.

BACKGROUND: Although Lean management techniques are increasingly used in health care to improve quality and reduce costs, lessons about how to successfully implement this approach on the front lines of care delivery are not well documented. In this study, we highlight key facilitators and barriers to implementing Lean among frontline primary care providers. METHODS: This case study took place at a large, ambulatory care delivery system serving nearly 1 million patients. In-depth interviews were conducted with primary care physicians, staff, and administrators to identify key factors impacting Lean redesigns in primary care. RESULTS: Overall, staff engagement and performance management, sensitivity to the professional values and culture of medicine, and perceived adequacy of organizational resources were critical when introducing Lean changes. Specific drivers of change included empowerment of staff at all levels, visual display of performance metrics, and a culture of innovation and collaboration. Barriers included physician resistance to standardized work, difficulty transferring management responsibilities to non-physician staff, and time and staffing required for participating in improvement efforts. CONCLUSION: Although Lean offers a new approach to delivering care, the implementation process itself is both complex and crucial to success. Understanding early facilitators and barriers can maximize Lean's, potential to improve health care delivery.