Pre-surgical factors related to latent trajectories of 5-year weight loss for a diverse bariatric surgery population.

BACKGROUND: Analyzing trajectories of weight loss may address how particular groups of patients respond to metabolic and bariatric surgery. OBJECTIVES: The Bariatric Experience Long Term (BELONG) study was designed to use a theoretical model to examine determinants of weight loss and recurrence. SETTING: Large integrated health system in Southern California with 11 surgical practices and 23 surgeons. METHODS: A total of n = 1338 patients who had metabolic and bariatric surgery were surveyed before surgery to measure factors related to median percent total weight loss (%TWL) over 5 years. Longitudinal weight data were available for n = 1024 (76.5% of the sample). Data were analyzed using latent growth mixture models (GMM) to estimate trajectories of weight change separately for gastric sleeve and bypass operations. These trajectories were then described using relevant variables from the baseline survey. RESULTS: For both gastric sleeve (n = 733) and bypass (n = 291) operations, 3 latent trajectories of median %TWL were found corresponding to most, moderate, and least %TWL. Sleeve trajectories were distinguished by body mass index at surgery and geocoded environmental factors. Bypass trajectories varied by self-reported and geocoded environmental factors, comorbidity burden, race, experiential avoidance, and weight control strategies. CONCLUSIONS: Future research should examine the role of the built and perceived environment in surgical weight loss. Bariatric practices should focus less on the presurgical period for predictors of long-term weight loss and begin efforts to monitor real-time patient-reported outcomes to help tailor intervention strategies for patients who either do not lose an expected amount of weight or who begin to experience weight recurrence.

Trends in HPV vaccine administration and HPV vaccine coverage in children by race/ethnicity and socioeconomic status during the COVID-19 pandemic in an integrated health care system in California.

BACKGROUND: We sought to evaluate the trends of HPV vaccination between 03/2019-09/2021 and whether the impact of the COVID pandemic on HPV vaccination varied by race/ethnicity and neighborhood deprivation index (NDI). METHODS: Electronic medical records at Kaiser Permanente Southern California were used to assess monthly volume of HPV vaccine doses administered among children aged 9-12.9yrs, and up-to-date coverage (% vaccinated) by age 13 between 03/2019-09/2021. Modified Poisson models were used to evaluate the interactions between race/ethnicity, NDI and the pandemic periods on HPV vaccine coverage. RESULTS: HPV vaccine doses administered in 2020/2021 have returned to the 2019 level after the initial drop. The average up-to-date coverage in 05/2021-09/2021 (54.8%) remained lower than the pre-pandemic level (58.5%). The associations between race/ethnicity, NDI and HPV vaccine coverage did not vary due to the pandemic. CONCLUSION: HPV vaccine promotion efforts are needed to address COVID-19 pandemic's lasting impact on HPV vaccination coverage.

Association between post-hospital clinic and telephone follow-up provider visits with 30-day readmission risk in an integrated health system.

BACKGROUND: Follow-up visits with clinic providers after hospital discharge may not be feasible for some patients due to functional limitations, transportation challenges, need for physical distancing, or fear of exposure especially during the current COVID-19 pandemic. METHODS: The aim of the study was to determine the effects of post-hospital clinic (POSH) and telephone (TPOSH) follow-up provider visits versus no visit on 30-day readmission. We used a retrospective cohort design based on data from 1/1/2017 to 12/31/2019 on adult patients (n = 213,513) discharged home from 15 Kaiser Permanente Southern California hospitals. Completion of POSH or TPOSH provider visits within 7 days of discharge was the exposure and all-cause 30-day inpatient and observation stay readmission was the primary outcome. We used matching weights to balance the groups and Fine-Gray subdistribution hazard model to assess for readmission risk. RESULTS: Unweighted all-cause 30-day readmission rate was highest for patients who completed a TPOSH (17.3%) followed by no visit (14.2%), non-POSH (evaluation and management visits that were not focused on the hospitalization: 13.6%) and POSH (12.6%) visits. The matching weighted models showed that the effects of POSH and TPOSH visits varied across patient subgroups. For high risk (LACE 11+) medicine patients, both POSH (HR: 0.77, 95% CI: 0.71, 0.85, P < .001) and TPOSH (HR: 0.91, 95% CI: 0.83, 0.99, P = .03) were associated with 23 and 9% lower risk of 30-day readmission, respectively, compared to no visit. For medium to low risk medicine patients (LACE< 11) and all surgical patients regardless of LACE score or age, there were no significant associations for either visit type with risk of 30-day readmission. CONCLUSIONS: Post-hospital telephone follow-up provider visits had only modest effects on 30-day readmission in high-risk medicine patients compared to clinic visits. It remains to be determined if greater use and comfort with virtual visits by providers and patients as a result of the pandemic might improve the effectiveness of these encounters.

A population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia.

STUDY OBJECTIVES: To determine if a population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia (ICBT-I) affects dispensed medications and provider encounters compared with usual care. METHODS: A pragmatic hybrid study design was used to evaluate both the implementation strategy and the long-term effects of ICBT-I on health care utilization in an integrated health system. Adult members with insomnia (a diagnosis or insomnia medication dispensation) or at high risk of insomnia (a diagnosis of depression or anxiety) were randomized to receive information on either an ICBT-I program (intervention arm) or in-person classes on insomnia (usual-care arm). Outcomes included dispensed insomnia medications and provider encounters over 12 months. The effectiveness of our implementation of ICBT-I on the target population was determined by an intention-to-treat analysis and by regression models comparing those who engaged in ICBT-I with matched usual-care arm controls. RESULTS: A total of 136,630 participants were randomized. Six hundred thirty-eight (0.96%) accessed the ICBT-I program while 431 (0.66%) attended 1 or more usual-care insomnia classes. Dispensed insomnia medications and provider encounters were no different in the ICBT-I arm vs the usual-care arm (intention-to-treat) or among those who engaged in ICBT-I vs matched usual-care arm controls. CONCLUSIONS: Since ICBT-I program engagement was low, additional strategies to improve engagement should be explored. ICBT-I did not result in a reduction in several measures of health care utilization; nevertheless, it offers an alternative and accessible approach to managing population insomnia. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Trial of Internet-Based Cognitive Behavioral Therapy for Insomnia in Patients Prescribed Insomnia Medications; URL: https://clinicaltrials.gov/ct2/show/NCT03313466; Identifier: NCT03313466. CITATION: Derose SF, Rozema E, Chen A, Shen E, Hwang D, Manthena P. A population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2021;17(8):1675-1684.

Single vs Serial Measurements of Cardiac Troponin Level in the Evaluation of Patients in the Emergency Department With Suspected Acute Myocardial Infarction.

Importance: Chest pain is among the most common reasons for emergency department (ED) presentations. However, most patients are at low risk for acute coronary syndrome (ACS), with low cardiac adverse outcomes rates. Biomarker testing with troponin levels is key in the initial assessment for ACS. Although serial troponin testing can improve the diagnosis of ACS in clinical practice, some patients deemed to be low risk are discharged after a single negative troponin test result. Objective: To report the clinical outcomes of patients discharged after a single negative troponin test result compared with patients discharged after serial troponin measurements. Design, Setting, and Participants: This is a retrospective cohort study of ED encounters from May 5, 2016, to December 1, 2017, across 15 community EDs within an integrated health care system in southern California. The study cohort includes 27 918 adult ED encounters in which patients were evaluated for suspected ACS with a HEART (history, electrocardiogram, age, risk factors, and troponin) score and an initial conventional troponin-I measurement below the level of detection (<0.02 ng/mL). Statistical analysis was performed from December 1, 2019, to December 1, 2020. Exposure: Single troponin test vs multiple troponin tests. Main Outcomes and Measures: The primary outcome was acute myocardial infarction or cardiac mortality; secondary outcomes included coronary artery bypass graft, percutaneous coronary intervention, invasive coronary angiography, and unstable angina within 30 days of discharge. A multivariable logistic regression model was performed to evaluate the association between testing strategies and clinical outcomes. Results: A total of 27 918 patient encounters (16 212 women [58.1%]; mean [SD] age, 58.7 [15.2] years) were included in the study. Of patients with an initial troponin measurement below the level of detection, 14 459 (51.8%) were discharged after a single troponin measurement, and 13 459 (48.2%) underwent serial troponin tests. After adjustment for cardiac risk factors and comorbidities, there was no statistically significant difference in the primary outcome of acute myocardial infarction or cardiac mortality within 30 days between the 2 groups (single troponin, 56 [0.4%] vs serial troponin, 52 [0.4%]; adjusted odds ratio, 1.41 [95% CI, 0.96-2.07]). Patients discharged after a single troponin test had lower rates of coronary artery bypass graft (adjusted odds ratio, 0.24 [95% CI, 0.11-0.48]) and invasive coronary angiography (adjusted odds ratio, 0.46 [95% CI, 0.38-0.56]). Conclusions and Relevance: This study suggests that patients are routinely discharged from the ED after a single negative troponin test result, and when compared with serial troponin testing, a single troponin test appears safe based on current physician decision-making, with no difference in rates of 30-day cardiac mortality and acute myocardial infarction, which are low in both groups.

Higher Emergency Physician Chest Pain Hospitalization Rates Do Not Lead to Improved Patient Outcomes.

BACKGROUND: Wide variation exists for hospital admission rates for the evaluation of possible acute coronary syndrome, but there are limited data on physician-level variation. Our aim is to describe physicians' rates of admission for suspected acute coronary syndrome and associated 30-day major adverse events. METHODS: We conducted a retrospective analysis of adult emergency department chest pain encounters from January 2016 to December 2017 across 15 community emergency departments within an integrated health system in Southern California. The unit of analysis was the Emergency physician. The primary outcome was the proportion of patients admitted/observed in the hospital. Secondary analysis described the 30-day incidence of death or acute myocardial infarction. RESULTS: Thirty-eight thousand seven hundred seventy-eight patients encounters were included among 327 managing physicians. The median number of encounters per physician was 123 (interquartile range, 82-157) with an overall admission/observation rate of 14.0%. Wide variation in individual physician admission rates were observed (unadjusted, 1.5%-68.9%) and persisted after case-mix adjustments (adjusted, 5.5%-27.8%). More clinical experience was associated with a higher likelihood of hospital care. There was no difference in 30-day death or acute myocardial infarction between high- and low-admitting physician quartiles (unadjusted, 1.70% versus 0.82% and adjusted, 1.33% versus 1.29%). CONCLUSIONS: Wide variation persists in physician-level admission rates for emergency department chest pain evaluation, even in a well-integrated health system. There was no associated benefit in 30-day death or acute myocardial infarction for patients evaluated by high-admitting physicians. This suggests an additional opportunity to investigate the safe reduction of physician-level variation in the use of hospital care.

COPD Comorbidity Profiles and 2-Year Trajectory of Acute and Postacute Care Use.

BACKGROUND: Multiple morbidity is the norm in advanced COPD and contributes to high symptom burden and worse outcomes. RESEARCH QUESTION: Can distinct comorbidity profiles be identified and validated in a community-based sample of patients with COPD from a large integrated health care system using a standard, commonly used diagnostic code-based comorbidity index and downstream 2-year health care use data? STUDY DESIGN AND METHODS: In this retrospective cohort study, we used latent class analysis (LCA) to identify comorbidity profiles in a population-based sample of 91,453 patients with a COPD diagnosis between 2011 and 2015. We included specific comorbid conditions from the Charlson Comorbidity Index (CCI) and accounted for variation in underlying prevalence of different comorbidities across the three study sites. Sociodemographic, clinical, and health-care use data were obtained from electronic health records (EHRs). Multivariate logistic regression analysis was used to compare rates of acute and postacute care use by class. RESULTS: The mean age was 71 ± 11 years, 55% of patients were women, 23% of patients were people of color, and 80% of patients were former or current smokers. LCA identified four distinct comorbidity profiles with progressively higher CCI scores: low morbidity (61%; 1.9 ± 1.4), metabolic renal (21%; 4.7 ± 1.8), cardiovascular (12%; 4.6 ± 1.9), and multimorbidity (7%; 7.5 ± 1.7). In multivariate models, during 2 years of follow-up, a significant, nonoverlapping increase was found in the odds of having any all-cause acute (hospitalizations, observation stays, and ED visits) and postacute care use across the comorbidity profiles. INTERPRETATION: Distinct comorbidity profiles can be identified in patients with COPD using standard EHR-based diagnostic codes, and these profiles are associated with subsequent acute and postacute care use. Population-based risk stratification schemes for end-to-end, comprehensive COPD management should consider integrating comorbidity profiles such as those found in this study.

Early Noninvasive Cardiac Testing After Emergency Department Evaluation for Suspected Acute Coronary Syndrome.

Importance: Professional guidelines recommend noninvasive cardiac testing (NIT) within 72 hours of an emergency department (ED) evaluation for suspected acute coronary syndrome. However, there is inexact evidence that this strategy reduces the risk of future death or acute myocardial infarction (MI). Objective: To evaluate the effectiveness of early NIT in reducing the risk of death or acute MI within 30 days. Design, Setting, and Participants: This retrospective, multicenter cohort study within the Kaiser Permanente Southern California integrated health care delivery system compared the effectiveness of early noninvasive cardiac testing vs no testing in patients with chest pain and in whom acute MI was ruled out who presented to an ED from January 2015 to December 2017. Patients were followed up for up to 30 days after emergency department discharge. Exposures: Noninvasive cardiac testing performed within 3 days of an ED evaluation for suspected acute coronary syndrome. Main Outcomes and Measures: The primary outcome was composite risk of death or acute MI, within 30 days of an ED discharge. Results: A total of 79 040 patients were evaluated in this study, of whom 57.7% were female. The mean (SD) age of the cohort was 57 (16) years, and 16 164 patients (21%) had completed early NIT. The absolute risk of death or MI within 30 days was low (<1%). Early NIT had the minor benefit of reducing the absolute composite risk of death or MI (0.4% [95% CI, -0.6% to -0.3%]), and, separately, of death (0.2% [95% CI, -0.2% to -0.1%]), MI (-0.3% [95% CI, -0.5% to -0.1%]), and major adverse cardiac event (-0.5% [95% CI, -0.7% to -0.3%]). The number needed to treat was 250 to avoid 1 death or MI, 500 to avoid 1 death, 333 to avoid 1 MI, and 200 to avoid 1 major adverse cardiovascular event within 30 days. Subgroup analysis revealed a number needed to treat of 14 to avoid 1 death or MI in the subset of patients with elevated troponin. Conclusions and Relevance: Early NIT was associated with a small decrease in the risk of death or MI in patients admitted to the ED with suspected acute coronary syndrome, but this clinical strategy may not be optimal for most patients given the large number needed to treat.

Evaluation of Outpatient Cardiac Stress Testing After Emergency Department Encounters for Suspected Acute Coronary Syndrome.

STUDY OBJECTIVE: Professional guidelines recommend 72-hour cardiac stress testing after an emergency department (ED) evaluation for possible acute coronary syndrome. There are limited data on actual compliance rates and effect on patient outcomes. Our aim is to describe rates of completion of noninvasive cardiac stress testing and associated 30-day major adverse cardiac events. METHODS: We conducted a retrospective analysis of ED encounters from June 2015 to June 2017 across 13 community EDs within an integrated health system in Southern California. The study population included all adults with a chest pain diagnosis, troponin value, and discharge with an order for an outpatient cardiac stress test. The primary outcome was the proportion of patients who completed an outpatient stress test within the recommended 3 days, 4 to 30 days, or not at all. Secondary analysis described the 30-day incidence of major adverse cardiac events. RESULTS: During the study period, 24,459 patients presented with a chest pain evaluation requiring troponin analysis and stress test ordering from the ED. Of these, we studied the 7,988 patients who were discharged home to complete diagnostic testing, having been deemed appropriate by the treating clinicians for an outpatient stress test. The stress test completion rate was 31.3% within 3 days and 58.7% between 4 and 30 days, and 10.0% of patients did not complete the ordered test. The 30-day rates of major adverse cardiac events were low (death 0.0%, acute myocardial infarction 0.7%, and revascularization 0.3%). Rapid receipt of stress testing was not associated with improved 30-day major adverse cardiac events (odds ratio 0.92; 95% confidence interval 0.55 to 1.54). CONCLUSION: Less than one third of patients completed outpatient stress testing within the guideline-recommended 3 days after initial evaluation. More important, the low adverse event rates suggest that selective outpatient stress testing is safe. In this cohort of patients selected for outpatient cardiac stress testing in a well-integrated health system, there does not appear to be any associated benefit of stress testing within 3 days, nor within 30 days, compared with those who never received testing at all. The lack of benefit of obtaining timely testing, in combination with low rates of objective adverse events, may warrant reassessment of the current guidelines.

Effect of a HEART Care Pathway on Chest Pain Management Within an Integrated Health System.

STUDY OBJECTIVE: We describe the association of implementing a History, ECG, Age, Risk Factors, and Troponin (HEART) care pathway on use of hospital care and noninvasive stress testing, as well as 30-day patient outcomes in community emergency departments (EDs). METHODS: We performed a prospective interrupted-time-series study of adult encounters for patients evaluated for suspected acute coronary syndrome. The primary outcome was hospitalization or observation, noninvasive stress testing, or both within 30 days. The secondary outcome was 30-day all-cause mortality or acute myocardial infarction. A generalized estimating equation segmented logistic regression model was used to compare the odds of the primary outcome before and after HEART implementation. All models were adjusted for patient and facility characteristics and fit with physicians as a clustering variable. RESULTS: A total of 65,393 ED encounters (before, 30,522; after, 34,871) were included in the study. Overall, 33.5% (before, 35.5%; after, 31.8%) of ED chest pain encounters resulted in hospitalization or observation, noninvasive stress testing, or both. Primary adjusted results found a significant decrease in the primary outcome postimplementation (odds ratio 0.984; 95% confidence interval [CI] 0.974 to 0.995). This resulted in an absolute adjusted month-to-month decrease of 4.39% (95% CI 3.72% to 5.07%) after 12 months' follow-up, with a continued trend downward. There was no difference in 30-day mortality or myocardial infarction (0.6% [before] versus 0.6% [after]; odds ratio 1.02; 95% CI 0.97 to 1.08). CONCLUSION: Implementation of a HEART pathway in the ED evaluation of patients with chest pain resulted in less inpatient care and noninvasive cardiac testing and was safe. Using HEART to risk stratify chest pain patients can improve the efficiency and quality of care.

Segmentation of High-Cost Adults in an Integrated Healthcare System Based on Empirical Clustering of Acute and Chronic Conditions.

BACKGROUND: High-cost patients are a frequent focus of improvement projects based on primary care and other settings. Efforts to characterize high-cost, high-need patients are needed to inform care planning, but such efforts often rely on a priori assumptions, masking underlying complexities of a heterogenous population. OBJECTIVE: To define recognizable subgroups of patients among high-cost adults based on clinical conditions, and describe their survival and future spending. DESIGN: Retrospective observational cohort study. PARTICIPANTS: Within a large integrated delivery system with 2.7 million adult members, we selected the top 1% of continuously enrolled adults with respect to total healthcare expenditures during 2010. MAIN MEASURES: We used latent class analysis to identify clusters of alike patients based on 53 hierarchical condition categories. Prognosis as measured by healthcare spending and survival was assessed through 2014 for the resulting classes of patients. RESULTS: Among 21,183 high-cost adults, seven clinically distinctive subgroups of patients emerged. Classes included end-stage renal disease (12% of high-cost population), cardiopulmonary conditions (17%), diabetes with multiple comorbidities (8%), acute illness superimposed on chronic conditions (11%), conditions requiring highly specialized care (14%), neurologic and catastrophic conditions (5%), and patients with few comorbidities (the largest class, 33%). Over 4 years of follow-up, 6566 (31%) patients died, and survival in the classes ranged from 43 to 88%. Spending regressed to the mean in all classes except the ESRD and diabetes with multiple comorbidities groups. CONCLUSIONS: Data-driven characterization of high-cost adults yielded clinically intuitive classes that were associated with survival and reflected markedly different healthcare needs. Relatively few high-cost patients remain persistently high cost over 4 years. Our results suggest that high-cost patients, while not a monolithic group, can be segmented into few subgroups. These subgroups may be the focus of future work to understand appropriateness of care and design interventions accordingly.

Understanding Comorbidity Profiles and Their Effect on Treatment and Survival in Patients With Colorectal Cancer.

Background: Patients with colorectal cancer (CRC) commonly present at an older age with multiple comorbid conditions and complex care needs at the time of diagnosis. Clusters of comorbid conditions, or profiles, have not been systematically identified in this patient population. This study aimed to identify clinically distinct comorbidity profiles in a large sample of patients with CRC from an integrated healthcare system, and to examine the effect of comorbidity profiles on treatment and survival. Methods: In this retrospective cohort study, we used latent class analysis (LCA) to identify comorbidity profiles in a sample of 7,803 patients with CRC diagnosed between 2008 and 2013. We identified treatment received from electronic health records and used Cox proportional hazards analysis to examine the effect of comorbidity class on survival. We also examined the effect of comorbidity profile on receipt of guideline-recommended treatment. Results: Median age at diagnosis was 66 years, 52% of patients were male, and 48% were nonwhite. A plurality had stage 0-I disease (42%), with 22% stage II, 22% stage III, and 14% stage IV. More than half (59%) had ≤1 comorbid condition, whereas 19% had ≥4 comorbidities. LCA identified 4 distinct comorbidity classes. Classes were distinguished by the presence or absence of vascular and/or respiratory disease and diabetes with complications, as well as progressively greater Charlson comorbidity index scores. Comorbidity class was independently associated with treatment selection (P<.001) and survival (P<.001). Conclusions: Patients with CRC can be described by 4 distinct comorbidity profiles that are independent predictors of treatment and survival. These results provide insight into how comorbidities cluster within patients with CRC. This work represents a shift away from simple counting of comorbid conditions and toward a more nuanced understanding of how comorbidities cluster within groups of patients with CRC.

Completion of an Outpatient Visit After Skilled Nursing Facility Discharge and Readmission Risk.

OBJECTIVES: Examine the association between completion of an outpatient visit with a physician or advanced practice provider (PCP) within 7 days of discharge from a short skilled nursing facility (SNF) stay and 30-day readmission and determine if functional status at discharge moderates visit effectiveness. DESIGN: Retrospective cohort study. SETTING: Large integrated health care system. PARTICIPANTS: Adults 65 years and older, discharged home from a short SNF stay (n = 4073). INTERVENTION: None. MEASUREMENTS: Exposure is completion of an outpatient visit with a PCP within 7 days of discharge from an SNF. Primary outcome is readmission within 30 days of SNF discharge. Covariates included gender, risk score for readmission or early death, medical or surgical hospitalization, SNF facility, SNF length of stay, SNF stay in the previous 12 months, discharge to home or home health, and discharge functional independence measures (FIM). RESULTS: A total of 476 (11.6%) patients were readmitted within 30 days of SNF discharge. Patients who completed an outpatient visit with a PCP within 7 days of SNF discharge had a 23% higher risk of being readmitted compared to patients who did not complete any visit (hazard ratio [HR] 1.23, 95% confidence interval [CI] 1.01-1.50). Patients who had FIM scores ≥80 and completed a visit had an increased readmission risk (HR 1.37, 95% CI 1.04-1.79); the increased risk was not seen for those with worse functional impairment, FIM <80 (HR 1.11, 95% CI 0.85-1.46). CONCLUSION: The finding of increased risk of readmission post SNF discharge with completion of an outpatient visit likely reflects inadequate adjustment for selection bias in this observational study, which strongly argues for the need to design prospective studies to test transitional care services post SNF discharge.

Safe and Effective Implementation of Telestroke in a US Community Hospital Setting.

CONTEXT: There is substantial hospital-level variation in use of tissue plasminogen activator (tPA) for treatment of acute ischemic stroke. Telestroke services can bring neurologic expertise to hospitals with fewer resources. OBJECTIVE: To determine whether implementation of a telestroke intervention in a large integrated health system would lead to increased tPA utilization and would change rates of hemorrhagic complications. DESIGN: A stepped-wedge cluster randomized trial of 11 community hospitals connected to 2 tertiary care centers via telestroke, implemented at each hospital incrementally during a 1-year period. We examined pre- and postimplementation data from July 2013 through January 2015. A 2-level mixed-effects logistic regression model accounted for the staggered rollout. MAIN OUTCOME MEASURES: Receipt of tPA. Secondary outcome was the rate of significant hemorrhagic complications. RESULTS: Of the 2657 patients, demographic and clinical characteristics were similar in pre- and postintervention cohorts. Utilization of tPA increased from 6.3% before the intervention to 10.9% after the intervention, without a significant change in complication rates. Postintervention patients were more likely to receive tPA than were preintervention patients (odds ratio = 2.0; 95% confidence interval = 1.2-3.4). Before implementation, 8 of the 10 community hospitals were significantly less likely to administer tPA than the highest-volume tertiary care center; however, after implementation, 9 of the 10 were at least as likely to administer tPA as the highest-volume center. CONCLUSION: Telestroke implementation in a regional integrated health system was safe and effective. Community hospitals' rates of tPA utilization quickly increased and were similar to the largest-volume tertiary care center.

Emergency Care of Patients with Acute Ischemic Stroke in the Kaiser Permanente Southern California Integrated Health System.

CONTEXT: Tissue plasminogen activator (tPA) is underutilized for treatment of acute ischemic stroke. OBJECTIVE: To determine whether the probability of tPA administration for patients with ischemic stroke in an integrated health care system improved from 2009 to 2013, and to identify predictors of tPA administration. DESIGN: Retrospective analysis of all ischemic stroke presentations to 14 Emergency Departments between 2009 and 2013. A generalized linear mixed-effects model identified patient and hospital predictors of tPA. MAIN OUTCOME MEASURES: Primary outcome was tPA administration; secondary outcomes were door-to-imaging and door-to-needle times and tPA-related bleeding complications. RESULTS: Of the 11,630 patients, 3.9% received tPA. The likelihood of tPA administration increased with presentation in 2012 and 2013 (odds ratio [OR] = 1.75; 95% confidence interval [CI] = 1.26-2.43; and OR = 2.58; 95% CI = 1.90-3.51), female sex (OR = 1.27; 95% CI = 1.04-1.54), and ambulance arrival (OR = 2.17; 95% CI = 1.76-2.67), and decreased with prior stroke (OR = 0.47; 95% CI = 0.25-0.89) and increased age (OR = 0.98; 95% CI = 0.97-0.99). Likelihood varied by Medical Center (pseudo-intraclass correlation coefficient 13.5%). Among tPA-treated patients, median door-to-imaging time was 15 minutes (interquartile range, 9-23 minutes), and door-to-needle time was 73 minutes (interquartile range, 55-103 minutes). The rate of intracranial hemorrhage was 4.2% and 0.9% among tPA- and non-tPA treated patients (p < 0.001). CONCLUSION: Acute ischemic stroke care improved over time in this integrated health system. Better understanding of differences in hospital performance will have important quality-improvement and policy implications.

Use of posttreatment imaging and biomarkers in survivors of early-stage breast cancer: Inappropriate surveillance or necessary care?

BACKGROUND: Advanced imaging and serum biomarkers are commonly used for surveillance in patients with early-stage breast cancer, despite recommendations against this practice. Incentives to perform such low-value testing may be less prominent in integrated health care delivery systems. The purpose of the current study was to evaluate and compare the use of these services within 2 integrated systems: Kaiser Permanente (KP) and Intermountain Healthcare (IH). The authors also sought to distinguish the indication for testing: diagnostic purposes or routine surveillance. METHODS: Patients with American Joint Committee on Cancer stage 0 to II breast cancer diagnosed between 2009 and 2010 were identified and the use of imaging and biomarker tests over an 18-month period were quantified, starting at 1 year after diagnosis. Chart abstraction was performed on a random sample of patients who received testing to identify the indication for testing. Multivariate regression was used to explore associations with the use of nonrecommended care. RESULTS: A total of 6585 patients were identified; 22% had stage 0 disease, 44% had stage I disease, and 34% had stage II disease. Overall, 24% of patients received at least 1 imaging test (25% at KP vs 22% at IH; P = .009) and 28% of patients received at least 1 biomarker (36% at KP vs 13% at IH; P<.001). Chart abstraction revealed that 84% of imaging tests were performed to evaluate symptoms or signs. Virtually all biomarkers were ordered for routine surveillance. Stage of disease, medical center that provided the services, and provider experience were found to be significantly associated with the use of biomarkers. CONCLUSIONS: Advanced imaging was most often performed for appropriate indications, but biomarkers were used for nonrecommended surveillance. Distinguishing between inappropriate use for surveillance and appropriate diagnostic testing is essential when evaluating adherence to recommendations.

Low-value care for acute sinusitis encounters: who's choosing wisely?

OBJECTIVES: To assess acute sinusitis (AS) encounters in primary care (PC), urgent care (UC), and emergency department (ED) settings for adherence to recommendations to avoid low-value care. STUDY DESIGN: A retrospective, observational study of adult AS encounters (2010-2012) within a large integrated healthcare system. METHODS: We compared ED and UC encounters with PC visits, adjusting for differences in patient characteristics. PRIMARY OUTCOMES: adherence to recommendations to avoid antibiotics and a computed tomography (CT) scan of the face, head, or sinuses. SECONDARY OUTCOMES: length of symptoms and adherence with AS recommendations. RESULTS: Of 152,774 AS encounters, 89.2% resulted in antibiotics and 1.1% resulted in a CT scan. Compared with PC encounters, ED encounters were less likely to result in antibiotics (adjusted odds ratio [AOR], 0.57; 95% CI, 0.50-0.65) but more likely to result in a CT scan (AOR, 59.4; 95% CI, 51.3-68.7), while UC encounters were more likely to result in both antibiotics (AOR, 1.12; 95% CI, 1.08-1.17) and CT imaging (AOR, 2.4; 95% CI, 2.1-2.7). Chart review of encounters resulting in antibiotics found that 50% were inappropriately prescribed for symptoms of ≤7 days' duration (95% CI, 41%-58%), while 35% were appropriately prescribed for symptoms of ≥14 days' duration (95% CI, 27%-44%). Only 29% (95% CI, 22%-36%) of encounters were consistent with guideline-adherent care. CONCLUSIONS: AS encounters in an integrated health system infrequently result in CT imaging, but antibiotic treatment is common. Differences exist across acute care settings, but improved antibiotic stewardship is needed in all settings.

Use of imaging for staging of early-stage breast cancer in two integrated health care systems: adherence with a choosing wisely recommendation.

PURPOSE: Advanced imaging is commonly used for staging of early-stage breast cancer, despite recommendations against this practice. The objective of this study was to evaluate and compare use of imaging for staging of breast cancer in two integrated health care systems, Kaiser Permanente (KP) and Intermountain Healthcare (IH). We also sought to distinguish whether imaging was routine or used for diagnostic purposes. METHODS: We identified patients with stages 0 to IIB breast cancer diagnosed between 2010 and 2012. Using KP and IH electronic health records, we identified use of computed tomography, positron emission tomography, or bone scintigraphy 30 days before diagnosis to 30 days postsurgery. We performed chart abstraction on a random sample of patients who received a presurgical imaging test to identify indication. RESULTS: For the sample of 10,010 patients, mean age at diagnosis was 60 years (range, 22 to 99 years); with 21% stage 0, 47% stage I, and 32% stage II. Overall, 15% of patients (n = 1,480) received at least one imaging test during the staging window, 15% at KP and 14% at IH (P = .5). Eight percent of patients received imaging before surgery, and 7% postsurgery. We found significant intraregional variation in imaging use. Chart abstraction (n = 129, 16% of patients who received presurgical imaging) revealed that 48% of presurgical imaging was diagnostic. CONCLUSION: Use of imaging for staging of low-risk breast cancer was similar in both systems, and slightly lower than has been reported in the literature. Approximately half of imaging tests were ordered in response to a sign or symptom.