How Physician Self-Perceptions Affect the Impact of Peer Comparison Feedback on Opioid Prescribing.

Peer comparison feedback is a promising strategy for reducing opioid prescribing and opioid-related harms. Such comparisons may be particularly impactful among underestimating clinicians who do not perceive themselves as high prescribers relative to their peers. But peer comparisons could also unintentionally increase prescribing among overestimating clinicians who do not perceive themselves as lower prescribers than peers. The objective of this study was to assess if the impact of peer comparisons varied by clinicians' preexisting opioid prescribing self-perceptions. Subgroup analysis of a randomized trial of peer comparison interventions among emergency department and urgent care clinicians was used. Generalized mixed-effects models were used to assess whether the impact of peer comparisons, alone or combined with individual feedback, varied by underestimating or overestimating prescriber status. Underestimating and overestimating prescribers were defined as those who self-reported relative prescribing amounts that were lower and higher, respectively, than actual relative baseline amounts. The primary outcome was pills per opioid prescription. Among 438 clinicians, 54% (n = 236) provided baseline prescribing self-perceptions and were included in this analysis. Overall, 17% (n = 40) were underestimating prescribers whereas 5% (n = 11) were overestimating prescribers. Underestimating prescribers exhibited a differentially greater decrease in pills per prescription compared to nonunderestimating clinicians when receiving peer comparison feedback (1.7 pills, 95% CI, -3.2 to -0.2 pills) or combined peer and individual feedback (2.8 pills, 95% CI, -4.8 to -0.8 pills). In contrast, there were no differential changes in pills per prescription for overestimating versus nonoverestimating prescribers after receiving peer comparison (1.5 pills, 95% CI, -0.9 to 3.9 pills) or combined peer and individual feedback (3.0 pills, 95% CI, -0.3 to 6.2 pills). Peer comparisons were more impactful among clinicians who underestimated their prescribing compared to peers. By correcting inaccurate self-perceptions, peer comparison feedback can be an effective strategy for influencing opioid prescribing.

Clinician Perceptions of Receiving Different Forms of Feedback on their Opioid Prescribing.

Opioid misuse represents a major public health issue in the United States. One driver is overprescription for acute pain, with the size of initial prescription associated with subsequent long-term use. However, little work has been done to elicit clinician feedback about interventions to reduce opioid prescribing. To address this knowledge gap, qualitative analyses were conducted with clinicians who participated in a randomized controlled trial in which clinicians received monthly emailed feedback notifications about their opioid prescribing behaviors. Semistructured telephone interviews were conducted (N = 12) with urgent care (N = 7) and emergency department (N = 5) clinicians who participated in the trial between November 2020 and April 2021. Clinicians appreciated feedback about their prescribing behavior and found comparative data with peer clinicians to be most useful. Sharing opioid prescribing feedback data with clinicians can be an acceptable way to address opioid prescribing among emergency and urgent care clinicians.

The Effect Of Clinician Feedback Interventions On Opioid Prescribing.

An initial opioid prescription with a greater number of pills is associated with a greater risk for future long-term opioid use, yet few interventions have reliably influenced individual clinicians' prescribing. Our objective was to evaluate the effect of feedback interventions for clinicians in reducing opioid prescribing. The interventions included feedback on a clinician's outlier prescribing (individual audit feedback), peer comparison, and both interventions combined. We conducted a four-arm factorial pragmatic cluster randomized trial at forty-eight emergency department (ED) and urgent care (UC) sites in the western US, including 263 ED and 175 UC clinicians with 294,962 patient encounters. Relative to usual care, there was a significant decrease in pills per prescription both for peer comparison feedback (-0.8) and for the combination of peer comparison and individual audit feedback (-1.2). This decrease was sustained during follow-up. There were no significant changes for individual audit feedback alone, and no interventions changed the proportion of encounters with an opioid prescription.

Imputation of missing values for electronic health record laboratory data.

Laboratory data from Electronic Health Records (EHR) are often used in prediction models where estimation bias and model performance from missingness can be mitigated using imputation methods. We demonstrate the utility of imputation in two real-world EHR-derived cohorts of ischemic stroke from Geisinger and of heart failure from Sutter Health to: (1) characterize the patterns of missingness in laboratory variables; (2) simulate two missing mechanisms, arbitrary and monotone; (3) compare cross-sectional and multi-level multivariate missing imputation algorithms applied to laboratory data; (4) assess whether incorporation of latent information, derived from comorbidity data, can improve the performance of the algorithms. The latter was based on a case study of hemoglobin A1c under a univariate missing imputation framework. Overall, the pattern of missingness in EHR laboratory variables was not at random and was highly associated with patients' comorbidity data; and the multi-level imputation algorithm showed smaller imputation error than the cross-sectional method.

CM-SHARE: Development, Integration, and Adoption of an Electronic Health Record-Linked Digital Health Solution to Support Care for Diabetes in Primary Care.

IN BRIEF Chronic conditions such as diabetes are largely managed by primary care providers (PCPs), with significant patient self-management. This article describes the development, pilot testing, and fine-tuning of a Web-based digital health solution to help PCPs manage patients with cardiometabolic diseases during routine office encounters. It shows that such products can be successfully integrated into primary care settings when they address important unmet needs and are developed with input from end-users.

Mixed Incontinence Masked as Stress Induced Urgency Urinary Incontinence.

PURPOSE: We sought to understand variations in the expression and temporal relation of bladder control episodes among women with mixed urinary incontinence. MATERIALS AND METHODS: A random sample of women 40 years old or older with mixed urinary incontinence on GLOBE-UI (General Longitudinal Overactive Bladder Evaluation-Urinary Incontinence) was recruited in a digital daily diary study using a smartphone application. When a bladder control event occurred, women were instructed to answer episode specific questions. Episodes were defined as urgency, and urinary incontinence with and urinary incontinence without urgency. Women and episodes were compared by the type of activity preceding each episode. Urinary incontinence episodes were further defined as stress urinary incontinence, urgency urinary incontinence, stress induced urgency urinary incontinence and other. The chi-square and Wilcoxon tests were used for categorical and continuous variables, respectively. RESULTS: Of 40 women with a mean age of 65.5 years 35 provided complete 30-day diary data. Of the 950 bladder control episodes reported 25% were urgency only, 55% were urinary incontinence with urgency and 19% were urinary incontinence without urgency. Of the urinary incontinence episodes without urgency 82% occurred after a stress activity (eg coughing or sneezing). Notably, a stress activity also occurred just before 52.5% of the urgency urinary incontinence episodes (p <0.001). A total of 24 women (69%) reported at least 1 episode of stress induced urgency urinary incontinence, which was the most prevalent urinary incontinence subtype episode, followed by urgency urinary incontinence and stress urinary incontinence (29% vs 27% and 16%, respectively). The mean number of daily episodes was 1 or 2 across all groups. CONCLUSIONS: Women with mixed urinary incontinence express a heterogeneous set of bladder control episodes with stress induced urgency urinary incontinence as the dominant type.

Clinical validation of the Bladder Health Survey for urinary incontinence in a population sample of women.

INTRODUCTION AND HYPOTHESIS: Our aim was to clinically validate the Bladder Health Survey (BHS) for detecting urinary incontinence (UI) in population-based surveys. METHODS: A random sample of women ≥40 years was recruited from primary care practices. We assessed the BHS content validity with an expert advisory board. Test-retest reliability of UI questions was measured. BHS UI definitions included noncases, active (more than three symptoms in the prior 6 months), inactive (past but no current symptoms), and incident (new onset over the past 2 years) cases. To assess criterion validity, we compared BHS diagnosis to an expert clinical diagnosis using structured history, pelvic exam, voiding diary, and urodynamics (if needed). Construct validity was assessed comparing the BHS UI score and case status to Sandvik's score. RESULTS: Among 322 patients, the BHS identified 17 % as noncases, 70 % as active, 10 % as inactive, and 3 % as incident cases. Using the clinical diagnosis as the gold standard, the percent of true-positive UI cases was 98 % (active), 84 % (inactive), and 80 % (incident). A total of 75 % of BHS noncases were true negatives. The receiver operating characteristic c-statistic was 0.86. Sensitivity and specificity of the BHS were 91 % and 84 %, respectively. The Sandvik score for active cases (median = 4) was significantly greater than it was for inactive (median = 1), incident (median = 1), and noncases (median = 0) (p < 0.001). The BHS UI score was significantly correlated with the Sandvik severity score (r = 0.68, p < 0.01). CONCLUSION: The BHS is highly reliable, with robust content and construct validity for detecting UI for use in population samples.

The interaction of stress and urgency urinary incontinence and its effect on quality of life.

INTRODUCTION AND HYPOTHESIS: The objective was to estimate the impact of stress and urgency urinary incontinence (UI) on the quality of life (QOL), and to determine whether the impact varies according to UI severity. METHODS: We used data from the General Longitudinal Overactive Bladder Evaluation-UI study in women. Stress and urgency UI symptom severity scores ranged from 0 to 8. We used logistic regression to test the relation among different severity levels of stress and urgency UI, and their interaction with the Incontinence Impact Questionnaire (IIQ-7). This was categorized according to percentage ranges as 0-40% (reference), 41-80%, and 81-100%. RESULTS: Both stress and urgency UI were significantly associated with IIQ-7. Higher scores had higher odds ratios (ORs). The OR for urgency vs stress UI was greater at the same severity level. For instance, comparing IIQ-7 quintiles (0-40% vs 41-80%), the OR for an association with an urgency UI score of 5-6 was 5.27 (95% CI = 3.78-7.33) vs 2.76 (95% CI = 2.07-3.68) for a stress UI score of 5-6. Both UI subtypes were more strongly related to the upper (81-100%) than the to the lower (41-80%) quintiles. There was a strong positive urgency UI and stress UI interaction with the upper (i.e., 81-100%) but not the two next lower (41-80%) quintiles. CONCLUSION: The impact of UI subtypes on QOL varies according to the score of IIQ-7, stress and urgency UI, and their interaction. Urgency vs stress UI has a stronger impact. The effect is greatest for high IIQ-7 scores with a significant share mediated by the interaction of the two UI subtypes.