Surgical appropriateness nudges: Developing behavioral science nudges to integrate appropriateness criteria into the decision making of spine surgeons

BACKGROUND

Substantial variation exists in surgeon decision making. In response, multiple specialty societies have established criteria for the appropriate use of spine surgery. Yet few strategies exist to facilitate routine use of appropriateness criteria by surgeons. Behavioral science nudges are increasingly used to enhance decision making by clinicians. We sought to design "surgical appropriateness nudges" to support routine use of appropriateness criteria for degenerative lumbar scoliosis and spondylolisthesis.

METHODS

The work reflected Stage I of the NIH Stage Model for Behavioral Intervention Development and involved an iterative, multi-method approach, emphasizing qualitative methods. Study sites included two large referral centers for spine surgery. We recruited spine surgeons from both sites for two rounds of focus groups. To produce preliminary nudge prototypes, we examined sources of variation in surgeon decision making (Focus Group 1) and synthesized existing knowledge of appropriateness criteria, behavioral science nudge frameworks, electronic tools, and the surgical workflow. We refined nudge prototypes via feedback from content experts, site leaders, and spine surgeons (Focus Group 2). Concurrently, we collected data on surgical practices and outcomes at study sites. We pilot tested the refined nudge prototypes among spine surgeons, and surveyed them about nudge applicability, acceptability, and feasibility (scale 1-5, 5 = strongly agree).

RESULTS

Fifteen surgeons participated in focus groups, giving substantive input and feedback on nudge design. Refined nudge prototypes included: individualized surgeon score cards (frameworks: descriptive social norms/peer comparison/feedback), online calculators embedded in the EHR (decision aid/mapping), a multispecialty case conference (injunctive norms/social influence), and a preoperative check (reminders/ salience of information/ accountable justification). Two nudges (score cards, preop checks) incorporated data on surgeon practices and outcomes. Six surgeons pilot tested the refined nudges, and five completed the survey (83%). The overall mean score was 4.0 (standard deviation [SD] 0.5), with scores of 3.9 (SD 0.5) for applicability, 4.1 (SD 0.5) for acceptability, and 4.0 (SD 0.5), for feasibility. Conferences had the highest scores 4.3 (SD 0.6) and calculators the lowest 3.9 (SD 0.4).

CONCLUSIONS

Behavioral science nudges might be a promising strategy for facilitating incorporation of appropriateness criteria into the surgical workflow of spine surgeons. Future stages in intervention development will test whether these surgical appropriateness nudges can be implemented in practice and influence surgical decision making.

National Quality Indicators in Pediatric Sickle Cell Anemia

OBJECTIVE

To assess nationally endorsed claims-based quality measures in pediatric sickle cell anemia (SCA).

METHODS

Using data from the Sickle Cell Data Collection programs in California and Georgia from 2010 to 2019, we evaluated 2 quality measures in individuals with hemoglobin S/S or S/β-zero thalassemia: (1) the proportion of patients aged 3 months to 5 years who were dispensed antibiotic prophylaxis for at least 300 days within each measurement year and (2) the proportion of patients aged 2 to 15 years who received at least 1 transcranial Doppler ultrasound (TCD) within each measurement year. We then evaluated differences by year and tested whether performance on quality measures differed according to demographic and clinical factors.

RESULTS

Only 22.2% of those in California and 15.5% in Georgia met or exceeded the quality measure for antibiotic prophylaxis, with increased odds associated with rural residence in Georgia (odds ratio 1.61; 95% confidence interval 1.21-2.14) compared with urban residence and a trend toward increased odds associated with a pediatric hematologist prescriber (odds ratio 1.28; 95% confidence interval 0.97, 1.69) compared with a general pediatrician. Approximately one-half of the sample received an annual assessment of stroke risk using TCD (47.4% in California and 52.7% in Georgia), with increased odds each additional year in both states and among younger children.

CONCLUSIONS

The rates of receipt of recommended antibiotic prophylaxis and annual TCD were low in this sample of children with SCA. These evidence-based quality measures can be tracked over time to help identify policies and practices that maximize survival in SCA.

Reducing Care Overuse in Older Patients Using Professional Norms and Accountability : A Cluster Randomized Controlled Trial

BACKGROUND

Effective strategies are needed to curtail overuse that may lead to harm.

OBJECTIVE

To evaluate the effects of clinician decision support redirecting attention to harms and engaging social and reputational concerns on overuse in older primary care patients.

DESIGN

18-month, single-blind, pragmatic, cluster randomized trial, constrained randomization. (ClinicalTrials.gov: NCT04289753).

SETTING

60 primary care internal medicine, family medicine and geriatrics practices within a health system from 1 September 2020 to 28 February 2022.

PARTICIPANTS

371 primary care clinicians and their older adult patients from participating practices.

INTERVENTION

Behavioral science-informed, point-of-care, clinical decision support tools plus brief case-based education addressing the 3 primary clinical outcomes (187 clinicians from 30 clinics) were compared with brief case-based education alone (187 clinicians from 30 clinics). Decision support was designed to increase salience of potential harms, convey social norms, and promote accountability.

MEASUREMENTS

Prostate-specific antigen (PSA) testing in men aged 76 years and older without previous prostate cancer, urine testing for nonspecific reasons in women aged 65 years and older, and overtreatment of diabetes with hypoglycemic agents in patients aged 75 years and older and hemoglobin A1c (HbA1c) less than 7%.

RESULTS

At randomization, mean clinic annual PSA testing, unspecified urine testing, and diabetes overtreatment rates were 24.9, 23.9, and 16.8 per 100 patients, respectively. After 18 months of intervention, the intervention group had lower adjusted difference-in-differences in annual rates of PSA testing (-8.7 [95% CI, -10.2 to -7.1]), unspecified urine testing (-5.5 [CI, -7.0 to -3.6]), and diabetes overtreatment (-1.4 [CI, -2.9 to -0.03]) compared with education only. Safety measures did not show increased emergency care related to urinary tract infections or hyperglycemia. An HbA1c greater than 9.0% was more common with the intervention among previously overtreated diabetes patients (adjusted difference-in-differences, 0.47 per 100 patients [95% CI, 0.04 to 1.20]).

LIMITATION

A single health system limits generalizability; electronic health data limit ability to differentiate between overtesting and underdocumentation.

CONCLUSION

Decision support designed to increase clinicians' attention to possible harms, social norms, and reputational concerns reduced unspecified testing compared with offering traditional case-based education alone. Small decreases in diabetes overtreatment may also result in higher rates of uncontrolled diabetes.

PRIMARY FUNDING SOURCE

National Institute on Aging.

Risk preferences over health: Empirical estimates and implications for medical decision-making

Mainstream health economic theory implies that an expected gain in health-related quality of life (HRQoL) produces the same value for consumers, regardless of baseline health. Several strands of recent research call this implication into question. Generalized Risk-Adjusted Cost-Effectiveness (GRACE) demonstrates theoretically that baseline health status influences value, so long as consumers are not risk-neutral over health. Prior empirical literature casts doubt on risk-neutral expected utility-maximization in the health domain. We estimate utility over HRQoL in a nationally representative U.S. population and use our estimates to measure risk preferences over health. We find that individuals are risk-seeking at low levels of health, become risk-averse at health equal to 0.485 (measured on a 0-1 scale), and are most risk-averse at perfect health (coefficient of relative risk aversion = 4.51). We develop the resulting implications for medical decision making, cost-effectiveness analyses, and the proper theory of health-related decision making under uncertainty.

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.

A principled approach to non-discrimination in cost-effectiveness

The US Inflation Reduction Act (IRA) prohibits the Centers for Medicare and Medicaid Services (CMS) from using standard quality-adjusted life-years or other value assessment methods that discriminate against the aged, terminally ill, or disabled when setting maximum fair prices for prescription drugs. This policy has reignited interest in methods for assessing value without discrimination. Equal value of life-years gained (EVL), healthy years in total (HYT), and Generalized Risk-Adjusted Cost-Effectiveness (GRACE) have emerged as proposals. Neither EVL nor HYT rests on well-articulated microeconomic foundations. We show that they produce decisions that are inconsistent over time in a variety of ways, including: (1) failure to support additivity and indirect comparison in cases where the standard-of-care therapy changes over time; (2) strictly negative value of survival gains that accrue from a new, better standard-of-care, particularly for the disabled themselves; (3) unbounded average value of survival gains; and (4) non-convex survival preferences. We propose an alternative method that relies on GRACE and its microeconomic foundations.

Antibiotic prescribing for acute respiratory infections during the coronavirus disease 2019 (COVID-19) pandemic: Patterns in a nationwide telehealth service provider

We examined 3,046,538 acute respiratory infection (ARI) encounters with 6,103 national telehealth physicians from January 2019 to October 2021. The antibiotic prescribing rates were 44% for all ARIs; 46% were antibiotic appropriate; 65% were potentially appropriate; 19% resulted from inappropriate diagnoses; and 10% were related to coronavirus disease 2019 (COVID-19) diagnosis.

Use of Telehealth Information for Early Detection: Insights From the COVID-19 Pandemic

Objectives. To examine whether the addition of telehealth data to existing surveillance infrastructure can improve forecasts of cases and mortality. Methods. In this observational study, we compared accuracy of 14-day forecasts using real-time data available to the National Syndromic Surveillance Program (standard forecasts) to forecasts that also included telehealth information (telehealth forecasts). The study was performed in a national telehealth service provider in 2020 serving 50 US states and the District of Columbia. Results. Among 10.5 million telemedicine encounters, 169 672 probable COVID-19 cases were diagnosed by 5050 clinicians, with a rate between 0.79 and 47.8 probable cases per 100 000 encounters per day (mean = 8.37; SD = 10.75). Publicly reported case counts ranged from 0.5 to 237 916 (mean: 53 913; SD = 47 466) and 0 to 2328 deaths (mean = 1035; SD = 550) per day. Telehealth-based forecasts improved 14-day case forecasting accuracy by 1.8 percentage points to 30.9% (P = .06) and mortality forecasting by 6.4 percentage points to 26.9% (P < .048). Conclusions. Modest improvements in forecasting can be gained from adding telehealth data to syndromic surveillance infrastructure. (Am J Public Health. 2024;114(2):218-225. https://doi.org/10.2105/AJPH.2023.307499).

A randomized trial looking at planning prompts to reduce opioid prescribing

Prior work has demonstrated that personalized letters are effective at reducing opioid and benzodiazepine prescribing, but it is unclear whether If/when-then planning prompts would enhance this effect. We conducted a decedent-clustered trial which randomized 541 clinicians in Los Angeles County to receive a standard (n = 284), or comparator (n = 257) version of a letter with If/when-then prompts. We found a significant 12.85% (6.83%, 18.49%) and 8.32% (2.34%, 13.93%) decrease in the primary outcomes morphine (MME) and diazepam milligram equivalents (DME), respectively. This study confirms the benefit of planning prompts, and repeat letter exposure among clinicians with poor patient outcomes. Limitations include lack of generalizability and small sample size. Clinicaltrials.gov registration: NCT03856593.

Context matters: using an Evidence to Decision (EtD) framework to develop and encourage uptake of opioid deprescribing guideline recommendations at the point-of-care

OBJECTIVES

To describe the development and use of an Evidence to Decision (EtD) framework when formulating recommendations for the Evidence-Based Clinical Practice Guideline for Deprescribing Opioid Analgesics.

STUDY DESIGN AND SETTING

Evidence was derived from an overview of systematic reviews and qualitative studies conducted with healthcare professionals and people who take opioids for pain. A multidisciplinary guideline development group conducted extensive EtD framework review and iterative refinement to ensure that guideline recommendations captured contextual factors relevant to the guideline target setting and audience.

RESULTS

The guideline development group considered and accounted for the complexities of opioid deprescribing at the individual and health system level, shaping recommendations and practice points to facilitate point-of-care use. Stakeholders exhibited diverse preferences, beliefs, and values. This variability, low certainty of evidence, and system-level policies and funding models impacted the strength of the generated recommendations, resulting in the formulation of four 'conditional' recommendations.

CONCLUSION

The context within which evidence-based recommendations are considered, as well as the political and health system environment, can contribute to the success of recommendation implementation. Use of an EtD framework allowed for the development of implementable recommendations relevant at the point-of-care through consideration of limitations of the evidence and relevant contextual factors.

Centers for Disease Control and Prevention Guideline for Prescribing Opioids, 2022-Need for Integrating Dosing Benchmarks With Shared Decision-Making

This viewpoint evaluates the CDC’s 2022 clinical practice guideline for prescribing opioids and suggests a model for supplemented shared decision-making between patients and clinicians about long-term opioid therapy.

Clinician Job Satisfaction After Peer Comparison Feedback: A Secondary Analysis of a Randomized Clinical Trial

Importance

Interventions that improve clinician performance through feedback should not contribute to job dissatisfaction or staff turnover. Measurement of job satisfaction may help identify interventions that lead to this undesirable consequence.

Objective

To evaluate whether mean job satisfaction was less than the margin of clinical significance among clinicians who received social norm feedback (peer comparison) compared with clinicians who did not.

Design, Setting, and Participants

This secondary, preregistered, noninferiority analysis of a cluster randomized trial compared 3 interventions to reduce inappropriate antibiotic prescribing in a 2 × 2 × 2 factorial design from November 1, 2011, to April 1, 2014. A total of 248 clinicians were enrolled from 47 clinics. The sample size for this analysis was determined by the number of nonmissing job satisfaction scores from the original enrolled sample, which was 201 clinicians from 43 clinics. Data analysis was performed from October 12 to April 13, 2022.

Interventions

Feedback comparing individual clinician performance to top-performing peers, delivered in monthly emails (peer comparison).

Main Outcomes and Measures

The primary outcome was a response to the following statement: "Overall, I am satisfied with my current job." Responses ranged from 1 (strongly disagree) to 5 (strongly agree).

Results

A total of 201 clinicians (response rate, 81%) from 43 of the 47 clinics (91%) provided a survey response about job satisfaction. Clinicians were primarily female (n = 129 [64%]) and board certified in internal medicine (n = 126 [63%]), with a mean (SD) age of 48 (10) years. The clinic-clustered difference in mean job satisfaction was greater than -0.32 (β = 0.11; 95% CI, -0.19 to 0.42; P = .46). Therefore, the preregistered null hypothesis that peer comparison is inferior by resulting in at least a 1-point decrease in job satisfaction by 1 in 3 clinicians was rejected. The secondary null hypothesis that job satisfaction was similar among clinicians randomized to social norm feedback was not able to be rejected. The effect size did not change when controlling for other trial interventions (t = 0.08; P = .94), and no interaction effects were observed.

Conclusions and Relevance

In this secondary analysis of a randomized clinical trial, peer comparison did not lead to lower job satisfaction. Features that may have protected against dissatisfaction include clinicians' agency over the performance measure, privacy of individual performance, and allowing all clinicians to achieve top performance.

Trial Registration

ClinicalTrials.gov Identifiers: NCT05575115 and NCT01454947.

Cross-sectional study examining household factors associated with SARS-CoV-2 seropositivity in low-income children in Los Angeles

OBJECTIVES

This study aims to quantify the degree to which an underserved, Hispanic population in Los Angeles is impacted by SARS-CoV-2, and determine factors associated with paediatric seropositivity.

DESIGN

Cross-sectional.

SETTING

AltaMed, a Federally Qualified Health Center in Los Angeles.

PARTICIPANTS

A random sample of households who had received healthcare at AltaMed Medical Group was invited to participate. Households with at least one adult and one paediatric participant between 5 and 17 years of age were eligible to participate. Consented participants completed a survey on social determinants of health and were tested for antibodies using Abbott Architect SARS-CoV-2-IgG and SARS-CoV-2-IgM tests.

PRIMARY OUTCOME MEASURE

Seropositive status.

RESULTS

We analysed 390 adults (mean age in years, 38.98 (SD 12.11)) and 332 paediatric participants (11.26 (SD 3.51)) from 196 households. Estimated seropositivity was 52.11% (95% CI 49.61% to 55.19%) in paediatric participants and 63.58% (95% CI 60.39% to 65.24%) in adults. Seropositivity was 11.47% (95% CI 6.82% to 14.09%) lower in paediatric participants, but high relative to other populations. A household member with type 2 diabetes (OR 2.94 (95% CI 1.68 to 5.14)), receipt of food stamps (OR 1.66 (95% CI 1.08 to 2.56)) and lower head-of-household education (OR 1.73 (95% CI 1.06 to 2.84)) were associated with paediatric seropositivity.

CONCLUSIONS

SARS-CoV-2 seropositivity is high in Hispanic children and adolescents in Los Angeles. Food insecure households with low head-of-household education, and at least one household member with type 2 diabetes, had the highest risk. These factors may inform paediatrician COVID-19 mitigation recommendations.

TRIAL REGISTRATION NUMBER

NCT04901624.

Effect of Prescriber Notifications of Patient's Fatal Overdose on Opioid Prescribing at 4 to 12 Months: A Randomized Clinical Trial

This randomized clinical trial evaluates the effect of prescriber notifications of a patient’s fatal overdose on opioid prescribing, including decreases in morphine milligram equivalents, new patients taking opioids, and patients taking a high dose, at 4 to 12 months after notification.

Development and pilot testing of EHR-nudges to reduce overuse in older primary care patients

BACKGROUND

Unnecessary testing and treatment of common conditions in older adults can lead to significant morbidity and mortality. The primary objective of this study was to develop and pilot test a set of clinical decision support (CDS) alerts informed by social psychology to address overuse in three areas related to ambulatory care of older adults.

METHODS

We developed three electronic health record (EHR) CDS alerts to address overuse and pilot tested them from January 17, 2019 to July 17, 2019. We enrolled 14 primary care physicians from three practices within a large health system who cared for adults aged 65 years and older. Three measures of overuse applied to patients meeting the following criteria: ordering of prostate-specific antigen (PSA) for prostate cancer screening in adult men aged 76 years and older, ordering of urinalysis or urine cultures (UA or UC) for non-specific reasons to identify bacteriuria in women aged 65 years and older, and overtreatment of diabetes with insulin or oral hypoglycemic medications in adults aged at 75 years and older (DM). Clinicians received CDS alerts when criteria for any of the three overuse measures were met. We then surveyed clinicians to evaluate their experience with the CDS alerts.

RESULTS

The number of clinical encounters that triggered CDS alerts was 19 for PSA, 48 for UA/UC and 128 for DM. For PSA encounters, 4 (21%) orders were not performed after the alert. In the UA/UC encounters 29 (60%) orders were not performed after the alert. For the DM encounters, 21 (34%) had diabetes therapy reduced following the alert. Survey respondents indicated that the alerts were clinically accurate and sometimes led them to change their clinical action.

CONCLUSIONS

These CDS alerts were feasible to implement and may minimize unnecessary testing and treatment of common conditions in older adults.

Association of Fatal Overdose Notification Letters With Prescription of Benzodiazepines: Secondary Analysis of a Randomized Clinical Trial

This secondary analysis of a randomized clinical trial examines the association of receipt of an injunction letter from a medical examiner following a patient’s drug overdose with patterns of benzodiazepine prescribing among physicians.

A Qualitative Description of Clinician Free-Text Rationales Entered within Accountable Justification Interventions

BACKGROUND

Requiring accountable justifications-visible, clinician-recorded explanations for not following a clinical decision support (CDS) alert-has been used to steer clinicians away from potentially guideline-discordant decisions. Understanding themes from justifications across clinical content areas may reveal how clinicians rationalize decisions and could help inform CDS alerts.

METHODS

We conducted a qualitative evaluation of the free-text justifications entered by primary care physicians from three pilot interventions designed to reduce opioid prescribing and, in older adults, high-risk polypharmacy and overtesting. Clinicians encountered alerts when triggering conditions were met within the chart. Clinicians were asked to change their course of action or enter a justification for the action that would be displayed in the chart. We extracted all justifications and grouped justifications with common themes. Two authors independently coded each justification and resolved differences via discussion. Three physicians used a modified Delphi technique to rate the clinical appropriateness of the justifications.

RESULTS

There were 560 justifications from 50 unique clinicians. We grouped these into three main themes used to justify an action: (1) report of a particular diagnosis or symptom (e.g., for "anxiety" or "acute pain"); (2) provision of further contextual details about the clinical case (e.g., tried and failed alternatives, short-term supply, or chronic medication); and (3) noting communication between clinician and patient (e.g., "risks and benefits discussed"). Most accountable justifications (65%) were of uncertain clinical appropriateness.

CONCLUSION

Most justifications clinicians entered across three separate clinical content areas fit within a small number of themes, and these common rationales may aid in the design of effective accountable justification interventions. Justifications varied in terms of level of clinical detail. On their own, most justifications did not clearly represent appropriate clinical decision making.

Development of High-Risk Geriatric Polypharmacy Electronic Clinical Quality Measures and a Pilot Test of EHR Nudges Based on These Measures

BACKGROUND

Inappropriate polypharmacy, prevalent among older patients, is associated with substantial harms.

OBJECTIVE

To develop measures of high-risk polypharmacy and pilot test novel electronic health record (EHR)-based nudges grounded in behavioral science to promote deprescribing.

DESIGN

We developed and validated seven measures, then conducted a three-arm pilot from February to May 2019.

PARTICIPANTS

Validation used data from 78,880 patients from a single large health system. Six physicians were pre-pilot test environment users. Sixty-nine physicians participated in the pilot.

MAIN MEASURES

Rate of high-risk polypharmacy among patients aged 65 years or older. High-risk polypharmacy was defined as being prescribed ≥5 medications and satisfying ≥1 of the following high-risk criteria: drugs that increase fall risk among patients with fall history; drug-drug interactions that increase fall risk; thiazolidinedione, NSAID, or non-dihydropyridine calcium channel blocker in heart failure; and glyburide, glimepiride, or NSAID in chronic kidney disease.

INTERVENTIONS

Physicians received EHR alerts when renewing or prescribing certain high-risk medications when criteria were met. One practice received a "commitment nudge" that offered a chance to commit to addressing high-risk polypharmacy at the next visit. One practice received a "justification nudge" that asked for a reason when high-risk polypharmacy was present. One practice received both.

KEY RESULTS

Among 55,107 patients 65 and older prescribed 5 or more medications, 6256 (7.9%) had one or more high-risk criteria. During the pilot, the mean (SD) number of nudges per physician per week was 1.7 (0.4) for commitment, 0.8 (0.5) for justification, and 1.9 (0.5) for both interventions. Physicians requested to be reminded to address high-risk polypharmacy for 236/833 (28.3%) of the commitment nudges and acknowledged 441 of 460 (95.9%) of justification nudges, providing a text response for 187 (40.7%).

CONCLUSIONS

EHR-based measures and nudges addressing high-risk polypharmacy were feasible to develop and implement, and warrant further testing.

The protocol of improving safe antibiotic prescribing in telehealth: A randomized trial

BACKGROUND

The CDC estimates that over 40% of Urgent Care visits are for acute respiratory infections (ARI), more than half involving inappropriate antibiotic prescriptions. Previous randomized trials in primary care clinics resulted in reductions in inappropriate antibiotic prescribing, but antibiotic stewardship interventions in telehealth have not been systematically assessed. To better understand how best to decrease inappropriate antibiotic prescribing for ARIs in telehealth, we are conducting a large randomized quality improvement trial testing both patient- and physician-facing feedback and behavioral nudges embedded in the electronic health record.

METHODS

Teladoc® clinicians are assigned to one of 9 arms in a 3 × 3 randomized trial. Each clinician is assigned to one of 3 Commitment groups (Public, Private, Control) and one of 3 Performance Feedback groups (Benchmark Peer Comparison, Trending, Control). After randomly selecting ⅓ of states and associated clinicians required for patient-facing components of the Public Commitment intervention, remaining clinicians are randomized to the Control and Private commitment arms. Clinicians are randomized to the Performance Feedback conditions. The primary outcome is change from baseline in antibiotic prescribing rate for qualifying ARI visits. Secondary outcomes include changes in inappropriate prescribing and revisit rates. Secondary analyses include investigation of heterogeneity of treatment effects. With 1530 clinicians and an intra-clinician correlation in antibiotic prescribing rate of 0.5, we have >80% power to detect 1-7% absolute differences in antibiotic prescribing among groups.

DISCUSSION

Findings from this trial may help inform telehealth stewardship strategies, determine whether significant differences exist between Commitment and Feedback interventions, and provide guidance for clinicians and patients to encourage safe and effective antibiotic use.

CLINICALTRIALS

gov: NCT05138874.

Opioid and Naloxone Prescribing Following Insertion of Prompts in the Electronic Health Record to Encourage Compliance With California State Opioid Law

IMPORTANCE

Opioid addiction or dependency is a serious crisis in the US that affects public health as well as social and economic welfare. The State of California passed Assembly Bill (AB) 2760 in 2018 that mandates the coprescription of naloxone and opioids for patients with a high overdose risk.

OBJECTIVE

To assess whether the AB 2760-based electronic prompts were associated with increased naloxone orders for opioid users and reduced opioid prescribing when integrated into the practitioner workflow.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used interrupted time series mixed models to evaluate data obtained from the regional integrated health care system Kaiser Permanente Southern California (KPSC) from January 1, 2018, to December 31, 2019. Clinician participants were continuously employed at KPSC during the study period and ordered an opioid analgesic for eligible patients in 2018. Patient participants were KPSC members aged 18 years or older who received an opioid analgesic prescription during the study period. A series of AB 2760-based electronic prompts were integrated into the KPSC electronic health record system on December 27, 2018. The prompts are triggered or activated when 1 or more opioid prescribing conditions, defined in the AB 2760, are met at outpatient visits. Data were analyzed from January 8, 2021, to September 15, 2021.

EXPOSURES

Assembly Bill 2760-based electronic prompts for outpatient opioid prescriptions in the electronic health record system.

MAIN OUTCOMES AND MEASURES

Primary outcomes were changes in outpatient naloxone order rates among patients who were prescribed opioids and changes in outpatient opioid prescribing rates. Secondary outcomes were total morphine milligram equivalents (MMEs) ordered per prescriber-month, prompts-targeted objectives, and unintended consequences. Risk for opioid abuse among 3 types of patients was also assessed.

RESULTS

The 6515 eligible clinicians (mean [SD] age, 45.9 [9.43] years; 3604 men [55.3%]) included in the study served 500 711 unique patients in 1 903 289 outpatient encounters (mean [SD] age, 60.4 [15.67] years; 1 121 004 women [58.9%]) in which an opioid analgesic was prescribed. Naloxone order rate increased from 2.0% in December 2018 to 13.2% in January 2019 and then continued to increase to 27.1% in December 2019. Outpatient opioid prescribing rates decreased by 15.1% (rate ratio [RR], 0.85; 95% CI, 0.83-0.87) per prescriber-month when the electronic prompts were implemented. The postimplementation trend increased by 0.7% per prescriber-month (RR, 1.01; 95% CI, 1.01-1.01); the overall trend was still decreasing. The total MMEs per prescriber-month decreased by 7.8% (RR, 0.92; 95% CI, 0.89-0.96) after implementation of the prompts. The postimplementation trend tapered off. Other safe opioid prescribing measures also improved after implementation (decreases in concomitant muscle relaxants orders [RR, 0.94; 95% CI, 0.89-1.00], initial [RR, 0.86; 0.83-0.89] and renewal [RR, 0.65; 95% CI, 0.62-0.69] opioid orders, and long-term high-dose orders [RR, 0.96; 95% CI, 0.94-0.98]).

CONCLUSIONS AND RELEVANCE

This study found an association between implementation of AB 2760-based prompts and increased naloxone order rate; improved opioid prescribing measures (ie, decreased concomitant muscle relaxants orders, initial and renewal opioid orders, and long-term high-dose orders), except monthly median MMEs; and reduced opioid prescribing. The findings suggest that opioid overdose risks can be mitigated by encouraging safe prescribing habits.

Effect of Peer Benchmarking on Specialist Electronic Consult Performance in a Los Angeles Safety-Net: a Cluster Randomized Trial

BACKGROUND

Since the advent of COVID-19, accelerated adoption of systems that reduce face-to-face encounters has outpaced training and best practices. Electronic consultations (eConsults), structured communications between PCPs and specialists regarding a case, have been effective in reducing face-to-face specialist encounters. As the health system rapidly adapts to multiple new practices and communication tools, new mechanisms to measure and improve performance in this context are needed.

OBJECTIVE

To test whether feedback comparing physicians to top performing peers using co-specialists' ratings improves performance.

DESIGN

Cluster-randomized controlled trial PARTICIPANTS: Eighty facility-specialty clusters and 214 clinicians INTERVENTION: Providers in the feedback arms were sent messages that announced their membership in an elite group of "Top Performers" or provided actionable recommendations with feedback for providers that were "Not Top Performers."

MAIN MEASURES

The primary outcomes were changes in peer ratings in the following performance dimensions after feedback was received: (1) elicitation of information from primary care practitioners; (2) adherence to institutional clinical guidelines; (3) agreement with peer's medical decision-making; (4) educational value; (5) relationship building.

KEY RESULTS

Specialists showed significant improvements on 3 of the 5 consultation performance dimensions: medical decision-making (odds ratio 1.52, 95% confidence interval 1.08-2.14, p<.05), educational value (1.86, 1.17-2.96) and relationship building (1.63, 1.13-2.35) (both p<.01).

CONCLUSIONS

The pandemic has shed light on clinicians' commitment to professionalism and service as we rapidly adapt to changing paradigms. Interventions that appeal to professional norms can help improve the efficacy of new systems of practice. We show that specialists' performance can be measured and improved with feedback using aspirational norms.

TRIAL REGISTRATION

clinicaltrials.gov NCT03784950.

The protocol of the Application of Economics & Social psychology to improve Opioid Prescribing Safety trial 2 (AESOPS-2): Availability of opioid harm

BACKGROUND

High levels of opioid prescribing in the United States has resulted in an alarming trend in opioid-related harms. The objective of Trial 2 of the Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS-2) is to dampen the intensity and frequency of opioid prescribing in accordance with the Centers for Disease Control and Prevention recommendation to "go low and slow". We aim to accomplish this by notifying clinicians of harmful patient outcomes, which we expect to increase the mental availability of risks associated with opioid use.

METHODS

The trial is multi-site. Random assignment determines if prescribers to persons who suffer an opioid overdose (fatal or nonfatal) learn of this event (intervention) or practice usual care (control). Clinicians in the intervention group receive a letter notifying them of their patient's overdose. The primary outcome is the change in clinician weekly milligram morphine equivalent (MME) prescribed in a 6-month period before and after receiving the letter. Additional outcomes are the change in the proportion of patients prescribed at least 50 daily MME and in the proportion of patients referred to medication assisted treatment. Group differences in these outcomes will be compared using an intent-to-treat difference-in-differences framework with a mixed-effects regression model to estimate clinician MME.

DISCUSSION

The AESOPS-2 trial will provide new knowledge about whether increasing prescribers' awareness of patients' opioid-related overdoses leads to a reduction in opioid prescribing. Additionally, this trial may better inform how to reduce opioid use disorder and opioid overdoses by lowering population exposure to these drugs.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT04758637.

Opioid-related deaths before and after COVID-19 stay-at-home orders in Los Angeles County

BACKGROUND

Opioid-related morbidity and mortality has increased during the COVID-19 pandemic, yet specific information about the communities most affected remains unknown. Our objective is to evaluate decedent-level associations with an opioid-related death following the implementation of stay-at-home orders in Los Angeles County.

METHODS

This retrospective cohort study used data from the L.A. County Medical Examiner-Coroner to identify opioid-related deaths in 2019 and 2020. We used logistic regression to analyze the change in opioid-related deaths following a 30-day washout period after the start of stay-at-home orders. Independent variables included decedent age, gender, race and ethnicity, heroin or fentanyl present at the time of death, census tract-level education, and a scheduled drug prescription in the year before death.

RESULTS

Opioid-related deaths in L.A. County are most common in census tracts where a small percentage of the population has a Bachelor's degree. Following stay-at-home orders, Non-Hispanic Caucasian individuals had significantly more opioid-related deaths than Hispanic individuals (risk ratio (RR): 1.82 [95 % CI, 1.10-3.02]; P < 0.05) after adjusting for age, gender, and heroin or fentanyl use. Racial and ethnic differences in mortality were not explained by census tract-level education or recent scheduled drug prescriptions.

DISCUSSION

There has been an alarming rise in opioid-related deaths in L.A. County during 2020. The increase in opioid-related overdose deaths following the onset of COVID-19 and related policies occurred most often among Non-Hispanic Caucasian individuals. Further research on this trend's underlying cause is needed to inform policy recommendations during these simultaneous public health crises.

Privacy-protecting, reliable response data discovery using COVID-19 patient observations

OBJECTIVE

To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers online.

MATERIALS AND METHODS

We developed a distributed, federated network of 12 health systems that harmonized their EHRs and submitted aggregate answers to consortia questions posted at https://www.covid19questions.org. Our consortium developed processes and implemented distributed algorithms to produce answers to a variety of questions. We were able to generate counts, descriptive statistics, and build a multivariate, iterative regression model without centralizing individual-level data.

RESULTS

Our public website contains answers to various clinical questions, a web form for users to ask questions in natural language, and a list of items that are currently pending responses. The results show, for example, that patients who were taking angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers, within the year before admission, had lower unadjusted in-hospital mortality rates. We also showed that, when adjusted for, age, sex, and ethnicity were not significantly associated with mortality. We demonstrated that it is possible to answer questions about COVID-19 using EHR data from systems that have different policies and must follow various regulations, without moving data out of their health systems.

DISCUSSION AND CONCLUSIONS

We present an alternative or a complement to centralized COVID-19 registries of EHR data. We can use multivariate distributed logistic regression on observations recorded in the process of care to generate results without transferring individual-level data outside the health systems.

A pilot intervention combining assessment and feedback with communication training and behavioral nudges to increase HPV vaccine uptake

Human papillomavirus (HPV) causes >40,000 cancer diagnoses each year, yet vaccination rates remain low because widespread implementation of strategies to increase vaccinations has not occurred. Behavioral nudges have demonstrated efficacy in improving uptake of desired behaviors in health care settings but have not been tested for increasing HPV vaccinations. We assessed the impact of an intervention combining behavioral nudges with other proven strategies (i.e., assessment and feedback, provider communication training) on HPV vaccination rates and parental satisfaction in four Midwestern pediatric, outpatient practices. Practices were randomly assigned to receive either assessment and feedback or assessment and feedback combined with vaccine communication training and behavioral nudges in the form of vaccine commitment posters. Providers (n = 16) completed surveys regarding vaccine policies and parents (n = 215) reported on their child's vaccine history and satisfaction with the consultation. Three practices increased HPV vaccination rates (1-10%); however, there was no statistically significant difference by study arm. Most parents (M age 41.3; SD 8.1; 85% female, 68% White) indicated their child had previously initiated the HPV vaccine series (61%) and 72% indicated receipt of an HPV vaccine during the study visit. Concerns among HPV vaccine-hesitant parents (28%) included vaccine safety and believing the vaccine is unnecessary (40%). Most parents were satisfied with their consultation. Practices in both intervention groups increased vaccination rates. While some parents continue to harbor concerns about vaccine safety and necessity, parents welcomed discussions about HPV and were satisfied with their provider's communication regardless of their vaccine decisions.

Examining primary care physician rationale for not following geriatric choosing wisely recommendations

Background

The objective is to understand why physicians order tests or treatments in older adults contrary to published recommendations.

Methods

Participants: Physicians above the median for ≥ 1 measures of overuse representing 3 Choosing Wisely topics. Measurements: Participants evaluated decisions in a semi-structured interview regarding: 1) Screening men aged ≥ 76 with prostate specific antigen 2) Ordering urine studies in women ≥ 65 without symptoms 3) Overtreating adults aged ≥ 75 with insulin or oral hypoglycemic medications. Two investigators independently coded transcripts using qualitative analysis.

Results

Nineteen interviews were conducted across the three topics resulting in four themes. First, physicians were aware and knowledgeable of guidelines. Second, perceived patient preference towards overuse influenced physician action even when physicians felt strongly that testing was not indicated. Third, physicians overestimated benefits of a test and underemphasized potential harms. Fourth, physicians were resistant to change when patients appeared to be doing well.

Conclusions

Though physicians expressed awareness to avoid overuse, deference to patient preferences and the tendency to distort the chance of benefit over harm influenced decisions to order testing. Approaches for decreasing unnecessary testing must account for perceived patient preferences, make the potential harms of overtesting salient, and address clinical inertia among patients who appear to be doing well.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-021-01440-w.

Comparison of Direct Oral Anticoagulants Versus Warfarin in Patients With Atrial Fibrillation and Bioprosthetic Heart Valves

There are limited data regarding direct oral anticoagulants (DOACs) for stroke prevention in patients with bioprosthetic heart valves (BHVs) and atrial fibrillation (AF). The objectives of this study were to evaluate the ambulatory utilization of DOACs and to compare the effectiveness and safety of DOACs versus warfarin in patients with AF and BHVs. We conducted a retrospective cohort study at a large integrated health care delivery system in California. Patients with BHVs and AF treated with warfarin, dabigatran, rivaroxaban, or apixaban between September 12, 2011 and June 18, 2020 were identified. Inverse probability of treatment-weighted comparative effectiveness and safety of DOACs compared with warfarin were determined. Use of DOACs gradually increased since 2011, with a significant upward in trend after a stay-at-home order related to COVID-19. Among 2,672 adults with BHVs and AF who met the inclusion criteria, 439 were exposed to a DOAC and 2233 were exposed to warfarin. For the primary effectiveness outcome of ischemic stroke, systemic embolism and transient ischemic attack, no significant association was observed between use of DOACs compared with warfarin (HR 1.19, 95% CI 0.96 to 1.48, p = 0.11). Use of DOACs was associated with lower risk of the primary safety outcome of intracranial hemorrhage, gastrointestinal bleeding, and other bleed (HR 0.69, 95% CI 0.56 to 0.85, p < 0.001). Results were consistent across multiple subgroups in the sensitivity analyses. These findings support the use of DOACs for AF in patients with BHVs.

The protocol of the Application of Economics & Social psychology to improve Opioid Prescribing Safety Trial 1 (AESOPS-1): Electronic health record nudges

BACKGROUND

There is a lack of evidence that long-term opioid use offers benefit for noncancer pain and an abundance of evidence of harm. Despite clinical guidelines and education, prescribing continues at a higher rate than before the opioids crisis. The objective of trial 1 of the Application of Economics & Social psychology to improve Opioid Prescribing Safety (AESOPS-1) is to discourage unnecessary opioid prescribing in primary care by applying "behavioral insights"-empirically-tested social and psychological interventions that affect choice.

METHODS

AESOPS-1 randomizes primary care clinics in Illinois and California to behavioral intervention or control. Both arms receive opioid guideline education. Clinics randomized to the behavioral intervention arm receive nudges within the electronic health record (EHR) including: 1) an "accountable justification" entered in the chart, 2) a precommitment to address high-risk prescriptions, and 3) a "PainTracker" that broadens discussions about pain. The control arm receives no EHR-based intervention. The primary outcome is the change in weekly milligram morphine equivalents (MME) prescribed. The secondary outcome is the change in the proportion of patients prescribed at least 50 daily MME. To evaluate these outcomes, we will use a difference-in-differences mixed-effects regression model on clinician MME weekly or daily dose. The analysis will be "intent-to-treat." The intervention period is 18-months, with a 6-month follow-up period to measure persistence of effects.

DISCUSSION

The AESOPS-1 trial will evaluate the effect of EHR-based interventions in reducing noncancer opioid prescribing in primary care. AESOPS-1 may demonstrate practical and scalable strategies to lower unnecessary population exposure to opioids.

Efficient determination of equivalence for encrypted data

Secure computation of equivalence has fundamental application in many different areas, including health-care. We study this problem in the context of matching an individual's identity to link medical records across systems under the socialist millionaires' problem: Two millionaires wish to determine if their fortunes are equal without disclosing their net worth (Boudot, et al. 2001). In Theorem 2, we show that when a "greater than" algorithm is carried out on a totally ordered set it is easy to achieve secure matching without additional rounds of communication. We present this efficient solution to assess equivalence using a set intersection algorithm designed for "greater than" computation and demonstrate its effectiveness on equivalence of arbitrary data values, as well as demonstrate how it meets regulatory criteria for risk of disclosure.

Privacy-Protecting, Reliable Response Data Discovery Using COVID-19 Patient Observations.. [PMID: 32995818 PMCID: PMC7523159 DOI: 10.1101/2020.09.21.20196220]

There is an urgent need to answer questions related to COVID-19’s clinical course and associations with underlying conditions and health outcomes. Multi-center data are necessary to generate reliable answers, but centralizing data in a single repository is not always possible. Using a privacy-protecting strategy, we launched a public Questions & Answers web portal (https://covid19questions.org) with analyses of comorbidities, medications and laboratory tests using data from 202 hospitals (59,074 COVID-19 patients) in the USA and Germany. We find, for example, that 8.6% of hospitalizations in which the patient was not admitted to the ICU resulted in the patient returning to the hospital within seven days from discharge and that, when adjusted for age, mortality for hospitalized patients was not significantly different by gender or ethnicity.

Publicly Sharing Knowledge on COVID19 Without Sharing Patient-Level Data: A Privacy-Protecting Multivariate Analysis Approach

Primary care physicians' attitudes and perceptions towards antibiotic resistance and outpatient antibiotic stewardship in the USA: a qualitative study

OBJECTIVES

At least 30% of outpatient antibiotic prescriptions are unnecessary. Outpatient antibiotic stewardship is needed to improve prescribing and address the threat of antibiotic resistance. A better understanding of primary care physicians (PCPs) attitudes towards antibiotic prescribing and outpatient antibiotic stewardship is needed to identify barriers to stewardship implementation and help tailor stewardship strategies. The aim of this study was to assess PCPs current attitudes towards antibiotic resistance, inappropriate antibiotic prescribing and the feasibility of outpatient stewardship efforts.

DESIGN

Eight focus groups with PCPs were conducted by an independent moderator using a moderator guide. Focus groups were audio recorded, transcribed and coded for major themes using deductive and inductive content analysis methods.

SETTING

Focus groups were conducted in four US cities: Philadelphia, Birmingham, Chicago and Los Angeles.

PARTICIPANTS

Two focus groups were conducted in each city-one with family medicine and internal medicine physicians and one with paediatricians. A total of 26 family medicine/internal medicine physicians and 26 paediatricians participated.

RESULTS

Participants acknowledged that resistance is an important public health issue, but not as important as other pressing problems (eg, obesity, opioids). Many considered resistance to be more of a hospital issue. While participants recognised inappropriate prescribing as a problem in outpatient settings, many felt that the key drivers were non-primary care settings (eg, urgent care clinics, retail clinics) and patient demand. Participants reacted positively to stewardship efforts aimed at educating patients and clinicians. They questioned the validity of antibiotic prescribing metrics. This scepticism was due to a number of factors, including the feasibility of capturing prescribing quality, a belief that physicians will 'game the system' to improve their measures, and dissatisfaction and distrust of quality measurement in general.

CONCLUSIONS

Stakeholders will need to consider physician attitudes and beliefs about antibiotic stewardship when implementing interventions aimed at improving prescribing.

Primary Care Physicians' Attitudes and Perceptions Towards Antibiotic Resistance and Antibiotic Stewardship: A National Survey

Background

Outpatient antibiotic stewardship is needed to reduce inappropriate prescribing and minimize the development of resistant bacteria. We assessed primary care physicians’ perceptions of antibiotic resistance, antibiotic use, and the need for stewardship activities.

Methods

We conducted a national online survey of 1550 internal, family, and pediatric medicine physicians in the United States recruited from an opt-in panel of healthcare professionals. Descriptive statistics were generated for respondent demographics and question responses. Responses were also stratified by geographic region and medical specialty, with a χ ² test used to assess for differences.

Results

More respondents agreed that antibiotic resistance was a problem in the United States (94%) than in their practice (55%) and that inappropriate antibiotic prescribing was a problem in outpatient settings (91%) than in their practice (37%). In addition, 60% agreed that they prescribed antibiotics more appropriately than their peers. Most respondents (91%) believed that antibiotic stewardship was appropriate in office-based practices, but they ranked antibiotic resistance as less important than other public health issues such as obesity, diabetes, opioids, smoking, and vaccine hesitancy. Approximately half (47%) believed they would need a lot of help to implement stewardship. Respondents indicated that they were likely to implement antibiotic stewardship efforts in response to feedback or incentives provided by payers or health departments.

Conclusions

Primary care physicians generally did not recognize antibiotic resistance and inappropriate prescribing as issues in their practice. This poses a challenge for the success of outpatient stewardship. Healthcare stakeholders will need to explore opportunities for feedback and incentive activities to encourage stewardship uptake.

Clinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement

IMPORTANCE

The extent of clinician-level variation in the overuse of testing or treatment in older adults is not well understood.

OBJECTIVE

To examine clinician-level variation for three new measures of potentially inappropriate use of medical services in older adults.

DESIGN

Retrospective analysis of overall means and clinician-level variation in performance on three new measures.

SUBJECTS

Adults aged 65 years and older who had office visits with outpatient primary or immediate care clinicians within a single academic medical center health system between July 1, 2016, and June 30, 2017.

MEASURES

Two electronic clinical quality measures representing potentially inappropriate use of medical services in older adults: prostate-specific antigen testing against guidelines (PSA) in men aged 76 and older; urinalysis or urine culture for non-specific reasons in women aged 65 and older; and one intermediate outcome measure: hemoglobin A1c less than 7.0 in adults aged 75 and older with diabetes mellitus treated with insulin or oral hypoglycemic medication.

RESULTS

Sixty-nine clinicians and 2009 patients contributed observations to the PSA measure, 144 clinicians and 5933 patients contributed to the urinalysis/urine culture measure, and 42 clinicians and 665 patients contributed to the diabetes measure. Meaningful clinician-level performance variation was greatest for the PSA measure (intraclass correlation coefficient [ICC] = 0.27), followed by the urinalysis/urine culture measure (ICC = 0.18), and the diabetes measure (ICC = 0.024). The range of possible overuse across clinician quartiles was 8-54% for the PSA measure, 3-35% for the urinalysis/urine culture measure, and 13-49% for the diabetes measure. The odds ratios of overuse in the highest quartile compared with the lowest for the PSA, urinalysis/urine culture, and diabetes measures were 99.3 (95% CI 43 to 228), 15.7 (10 to 24), and 6.0 (3.3 to 11), respectively.

CONCLUSIONS

Within the same health system, rates of potential overuse in elderly patients varied greatly across clinicians, particularly for the process measures examined.

Clinician-Level Variation in Three Measures Representing Overuse Based on the American Geriatrics Society Choosing Wisely Statement

IMPORTANCE

The extent of clinician-level variation in the overuse of testing or treatment in older adults is not well understood.

OBJECTIVE

To examine clinician-level variation for three new measures of potentially inappropriate use of medical services in older adults.

DESIGN

Retrospective analysis of overall means and clinician-level variation in performance on three new measures.

SUBJECTS

Adults aged 65 years and older who had office visits with outpatient primary or immediate care clinicians within a single academic medical center health system between July 1, 2016, and June 30, 2017.

MEASURES

Two electronic clinical quality measures representing potentially inappropriate use of medical services in older adults: prostate-specific antigen testing against guidelines (PSA) in men aged 76 and older; urinalysis or urine culture for non-specific reasons in women aged 65 and older; and one intermediate outcome measure: hemoglobin A1c less than 7.0 in adults aged 75 and older with diabetes mellitus treated with insulin or oral hypoglycemic medication.

RESULTS

Sixty-nine clinicians and 2009 patients contributed observations to the PSA measure, 144 clinicians and 5933 patients contributed to the urinalysis/urine culture measure, and 42 clinicians and 665 patients contributed to the diabetes measure. Meaningful clinician-level performance variation was greatest for the PSA measure (intraclass correlation coefficient [ICC] = 0.27), followed by the urinalysis/urine culture measure (ICC = 0.18), and the diabetes measure (ICC = 0.024). The range of possible overuse across clinician quartiles was 8-54% for the PSA measure, 3-35% for the urinalysis/urine culture measure, and 13-49% for the diabetes measure. The odds ratios of overuse in the highest quartile compared with the lowest for the PSA, urinalysis/urine culture, and diabetes measures were 99.3 (95% CI 43 to 228), 15.7 (10 to 24), and 6.0 (3.3 to 11), respectively.

CONCLUSIONS

Within the same health system, rates of potential overuse in elderly patients varied greatly across clinicians, particularly for the process measures examined.

Patient Commitment to Health (PACT-Health) in the Heart Failure Population: A Focus Group Study of an Active Communication Framework for Patient-Centered Health Behavior Change

Background

Over 6 million Americans have heart failure, and 1 in 8 deaths included heart failure as a contributing cause in 2016. Lifestyle changes and adherence to diet and exercise regimens are important in limiting disease progression. Health coaching and public commitment are two interactive communication strategies that may improve self-management of heart failure.

Objective

This study aimed to conduct patient focus groups to gain insight into how best to implement health coaching and public commitment strategies within the heart failure population.

Methods

Focus groups were conducted in two locations. We studied 2 patients in Oakland, California, and 5 patients in Los Angeles, California. Patients were referred by local cardiologists and had to have a diagnosis of chronic heart failure. We used a semistructured interview tool to explore several patient-centered themes including medication adherence, exercise habits, dietary habits, goals, accountability, and rewards. We coded focus group data using the a priori coding criteria for these domains.

Results

Medication adherence barriers included regimen complexity, forgetfulness, and difficulty coping with side effects. Participants reported that they receive little instruction from care providers on appropriate exercise and dietary habits. They also reported personal and social obstacles to achieving these objectives. Participants were in favor of structured goal setting, use of online social networks, and financial rewards as a means of promoting health lifestyles. Peers were viewed as better motivating agents than family members.

Conclusions

An active communication framework involving dissemination of diet- and exercise-related health information, structured goal setting, peer accountability, and financial rewards appears promising in the management of heart failure.

A Multifaceted Intervention Improves Prescribing for Acute Respiratory Infection for Adults and Children in Emergency Department and Urgent Care Settings

BACKGROUND

Antibiotics are commonly prescribed during emergency department (ED) and urgent care center (UCC) visits for viral acute respiratory infection (ARI). We evaluate the comparative effectiveness of an antibiotic stewardship intervention adapted for acute care ambulatory settings (adapted intervention) to a stewardship intervention that additionally incorporates behavioral nudges (enhanced intervention) in reducing inappropriate prescriptions.

METHODS

This study was a pragmatic, cluster-randomized clinical trial conducted in three academic health systems comprising five adult and pediatric EDs and four UCCs. Randomization of the nine sites was stratified by health system; all providers at each site received either the adapted or the enhanced intervention. The main outcome was the proportion of antibiotic-inappropriate ARI diagnosis visits that received an outpatient antibiotic prescription by individual providers. We estimated a hierarchical mixed-effects logistic regression model comparing visits during the influenza season for 2016 to 2017 (baseline) and 2017 to 2018 (intervention).

RESULTS

There were 44,820 ARI visits among 292 providers across all nine cluster sites. Antibiotic prescribing for ARI visits dropped from 6.2% (95% confidence interval [CI] = 4.5% to 7.9%) to 2.4% (95% CI = 1.3% to 3.4%) during the study period. We found a significant reduction in inappropriate prescribing after adjusting for health-system and provider-level effects from 2.2% (95% CI = 1.0% to 3.4%) to 1.5% (95% CI = 0.7% to 2.3%) with an odds ratio of 0.67 (95% CI = 0.54 to 0.82). Difference-in-differences between the two interventions was not significantly different.

CONCLUSION

Implementation of antibiotic stewardship for ARI is feasible and effective in the ED and UCC settings. More intensive behavioral nudging methods were not more effective in high-performance settings.

Behavioral Economics Interventions to Improve Outpatient Antibiotic Prescribing for Acute Respiratory Infections: a Cost-Effectiveness Analysis

BACKGROUND

Behavioral economics interventions have been shown to effectively reduce the rates of inappropriate antibiotic prescriptions for acute respiratory infections (ARIs).

OBJECTIVE

To determine the cost-effectiveness of three behavioral economic interventions designed to reduce inappropriate antibiotic prescriptions for ARIs.

DESIGN

Thirty-year Markov model from the US societal perspective with inputs derived from the literature and CDC surveillance data.

SUBJECTS

Forty-five-year-old adults with signs and symptoms of ARI presenting to a healthcare provider.

INTERVENTIONS

(1) Provider education on guidelines for the appropriate treatment of ARIs; (2) Suggested Alternatives, which utilizes computerized clinical decision support to suggest non-antibiotic treatment choices in lieu of antibiotics; (3) Accountable Justification, which mandates free-text justification into the patient's electronic health record when antibiotics are prescribed; and (4) Peer Comparison, which sends a periodic email to prescribers about his/her rate of inappropriate antibiotic prescribing relative to clinician colleagues.

MAIN MEASURES

Discounted costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios.

KEY RESULTS

Each intervention has lower costs but higher QALYs compared to provider education. Total costs for each intervention were $178.21, $173.22, $172.82, and $172.52, and total QALYs were 14.68, 14.73, 14.74, and 14.74 for the control, Suggested Alternatives, Accountable Justification, and Peer Comparison groups, respectively. Results were most sensitive to the quality-of-life of the uninfected state, and the likelihood and costs for antibiotic-associated adverse events.

CONCLUSIONS

Behavioral economics interventions can be cost-effective strategies for reducing inappropriate antibiotic prescriptions by reducing healthcare resource utilization.

Opioid prescribing decreases after learning of a patient's fatal overdose

Most opioid prescription deaths occur among people with common conditions for which prescribing risks outweigh benefits. General psychological insights offer an explanation: People may judge risk to be low without available personal experiences, may be less careful than expected when not observed, and may falter without an injunction from authority. To test these hypotheses, we conducted a randomized trial of 861 clinicians prescribing to 170 persons who subsequently suffered fatal overdoses. Clinicians in the intervention group received notification of their patients' deaths and a safe prescribing injunction from their county's medical examiner, whereas physicians in the control group did not. Milligram morphine equivalents in prescriptions filled by patients of letter recipients versus controls decreased by 9.7% (95% confidence interval: 6.2 to 13.2%; P < 0.001) over 3 months after intervention. We also observed both fewer opioid initiates and fewer high-dose opioid prescriptions by letter recipients.

Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage

Patient health data are often found spread across various sources. However, precision medicine and personalized care requires access to the complete medical records. The first step towards this is to enable the linkage of health records spread across different sites. Existing record linkage solutions assume that data is centralized with no privacy/security concerns restricting sharing. However, that is often untrue. Therefore, we design and implement a portable method for privacy-preserving record linkage based on garbled circuits to accurately and securely match records. We also develop a novel approximate matching mechanism that significantly improves efficiency.

Effects of Behavioral Interventions on Inappropriate Antibiotic Prescribing in Primary Care 12 Months After Stopping Interventions

This study examines assesses inappropriate antibiotic prescribing 12 months after stopping a randomized clinical trial of a behavioral intervention intended to reduce the rate of inappropriate antibiotic prescribing for acute respiratory infections.

Prescriber preferences for behavioural economics interventions to improve treatment of acute respiratory infections: a discrete choice experiment

OBJECTIVE

To elicit prescribers' preferences for behavioural economics interventions designed to reduce inappropriate antibiotic prescribing, and compare these to actual behaviour.

DESIGN

Discrete choice experiment (DCE).

SETTING

47 primary care centres in Boston and Los Angeles.

PARTICIPANTS

234 primary care providers, with an average 20 years of practice.

MAIN OUTCOMES AND MEASURES

Results of a behavioural economic intervention trial were compared to prescribers' stated preferences for the same interventions relative to monetary and time rewards for improved prescribing outcomes. In the randomised controlled trial (RCT) component, the 3 computerised prescription order entry-triggered interventions studied included: Suggested Alternatives (SA), an alert that populated non-antibiotic treatment options if an inappropriate antibiotic was prescribed; Accountable Justifications (JA), which prompted the prescriber to enter a justification for an inappropriately prescribed antibiotic that would then be documented in the patient's chart; and Peer Comparison (PC), an email periodically sent to each prescriber comparing his/her antibiotic prescribing rate with those who had the lowest rates of inappropriate antibiotic prescribing. A DCE study component was administered to determine whether prescribers felt SA, JA, PC, pay-for-performance or additional clinic time would most effectively reduce their inappropriate antibiotic prescribing. Willingness-to-pay (WTP) was calculated for each intervention.

RESULTS

In the RCT, PC and JA were found to be the most effective interventions to reduce inappropriate antibiotic prescribing, whereas SA was not significantly different from controls. In the DCE however, regardless of treatment intervention received during the RCT, prescribers overwhelmingly preferred SA, followed by PC, then JA. WTP estimates indicated that each intervention would be significantly cheaper to implement than pay-for-performance incentives of $200/month.

CONCLUSIONS

Prescribing behaviour and stated preferences are not concordant, suggesting that relying on stated preferences alone to inform intervention design may eliminate effective interventions.

TRIAL REGISTRATION NUMBER

NCT01454947; Results.

Behavioral interventions to reduce inappropriate antibiotic prescribing: a randomized pilot trial

Background

Clinicians frequently prescribe antibiotics inappropriately for acute respiratory infections (ARIs). Our objective was to test information technology-enabled behavioral interventions to reduce inappropriate antibiotic prescribing for ARIs in a randomized controlled pilot test trial.

Methods

Primary care clinicians were randomized in a 2 × 2 × 2 factorial experiment with 3 interventions: 1) Accountable Justifications; 2) Suggested Alternatives; and 3) Peer Comparison. Beforehand, participants completed an educational module. Measures included: rates of antibiotic prescribing for: non-antibiotic-appropriate ARI diagnoses, acute sinusitis/pharyngitis, all other diagnoses/symptoms of respiratory infection, and all three ARI categories combined.

Results

We examined 3,276 visits in the pre-intervention year and 3,099 in the intervention year. The antibiotic prescribing rate fell for non-antibiotic-appropriate ARIs (24.7 % in the pre-intervention year to 5.2 % in the intervention year); sinusitis/pharyngitis (50.3 to 44.7 %); all other diagnoses/symptoms of respiratory infection (40.2 to 25.3 %); and all categories combined (38.7 to 24.2 %; all p < 0.001). There were no significant relationships between any intervention and antibiotic prescribing for non-antibiotic-appropriate ARI diagnoses or sinusitis/pharyngitis. Suggested Alternatives was associated with reduced antibiotic prescribing for other diagnoses or symptoms of respiratory infection (odds ratio [OR], 0.62; 95 % confidence interval [CI], 0.44–0.89) and for all ARI categories combined (OR, 0.72; 95 % CI, 0.54–0.96). Peer Comparison was associated with reduced prescribing for all ARI categories combined (OR, 0.73; 95 % CI, 0.53–0.995).

Conclusions

We observed large reductions in antibiotic prescribing regardless of whether or not study participants received an intervention, suggesting an overriding Hawthorne effect or possibly clinician-to-clinician contamination. Low baseline inappropriate prescribing may have led to floor effects.

Trial Registration

ClinicalTrials.gov: NCT01454960.

Electronic supplementary material

The online version of this article (doi:10.1186/s12879-016-1715-8) contains supplementary material, which is available to authorized users.

Using Social Media, Online Social Networks, and Internet Search as Platforms for Public Health Interventions: A Pilot Study

OBJECTIVE

To pilot public health interventions at women potentially interested in maternity care via campaigns on social media (Twitter), social networks (Facebook), and online search engines (Google Search).

DATA SOURCES/STUDY SETTING

Primary data from Twitter, Facebook, and Google Search on users of these platforms in Los Angeles between March and July 2014.

STUDY DESIGN

Observational study measuring the responses of targeted users of Twitter, Facebook, and Google Search exposed to our sponsored messages soliciting them to start an engagement process by clicking through to a study website containing information on maternity care quality information for the Los Angeles market.

PRINCIPAL FINDINGS

Campaigns reached a little more than 140,000 consumers each day across the three platforms, with a little more than 400 engagements each day. Facebook and Google search had broader reach, better engagement rates, and lower costs than Twitter. Costs to reach 1,000 targeted users were approximately in the same range as less well-targeted radio and TV advertisements, while initial engagements-a user clicking through an advertisement-cost less than $1 each.

CONCLUSIONS

Our results suggest that commercially available online advertising platforms in wide use by other industries could play a role in targeted public health interventions.