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Objective: To describe how much of the recent increase in hospital-cardiologist integration has come from acquisitions of physician practices compared to individual employment decisions. While the role of physician practice acquisitions has received considerable attention in the news, integration may also be driven by individual physicians accepting employment at hospital-based practices.Data Sources: American Medical Association Physician Masterfile and Medicare data.Study Design: Analysis of changes in hospital-cardiologist integration from 2011 to 2018. We measured increases in integration and changes in the number of independent and hospital-owned practices.Data Collection/extraction Methods: Not applicable.Principal Findings: In 2011, 18% of cardiologists were integrated, rising to 25% in 2016. Of this rise, 48% occurred with no acquisitions. Physicians who had completed residencies in the past 5 years (early career physicians) had higher rates of integration that also increased over time: the percentage of early career physicians joining hospital systems rose from 25% to 32%, indicating rapid growth in the number of physicians who began their careers working in hospital-based sites.Conclusions: A large and growing portion of hospital-cardiologist integration came from hospital employment at the individual physician level. Future policies focused on preserving competition and affordability may benefit from better understanding this form of consolidation. [ABSTRACT FROM AUTHOR]

Background: Transcatheter aortic valve replacement (TAVR) has made palliation from aortic stenosis more broadly available to populations previously thought to be too high risk for surgery, such as those with Alzheimer's disease and related dementias (ADRD); however, its safety and effectiveness in this context are uncertain. Methods: We performed a retrospective cohort study of national Medicare beneficiaries, aged 66 and older with Parts A and B, between 2010 and 2016. Patients undergoing AVR were identified, and follow‐up was available through 2017. Multivariable regression was used to measure the independent association between having a diagnosis of ADRD at the time of AVR, stratified by TAVR and surgery, and outcomes (mortality and Medicare institutional days at 1 year after AVR). Results: The average rate of increase in AVR per year was 17.5 cases per 100,000 ADRD and 8.4 per 100,000 non‐ADRD beneficiaries, largely driven by more rapid adoption of TAVR. Adjusted mortality following AVR declined significantly between those treated in 2010 and 2016, from 13.5% (95% CI 10.2%–17.7%) to 6.3% (95% CI 5.2%–7.6%) and from 13.7% (95% CI 12.7%–14.7%) to 6.3% (95% CI 5.8%–6.9%) in those with and without ADRD, respectively. The sharpest decline was noted for patients undergoing TAVR between 2011 and 2016, with adjusted mortality declining from 19.9% (95% CI 11.2%–32.8%) to 5.2% (95% CI 4.1%–6.5%) and from 12.2% (95% CI 9.3%–15.8%) to 5.0% (95% CI 4.4%–5.6%) in patients with and without ADRD, respectively. Similar declines were evident for Medicare institutional days in the year after AVR in both patient groups. Conclusions: Rates of AVR in those with ADRD increased during the past decade largely driven by the diffusion of TAVR. The use of TAVR in this vulnerable population did not come at the expense of increasing Medicare institutional days or mortality at 1‐year. [ABSTRACT FROM AUTHOR]

Using Michigan public health data, we assessed geographical access to specialist providers for hepatitis C virus (HCV) treatment in urban and rural areas in Michigan and explored correlates of HCV in these areas to help inform HCV elimination planning and resource allocations. We found higher HCV incidence in urban areas, lower treatment specialist access in rural areas, but few correlates of HCV across adult populations in both areas. State and local HCV elimination planning should include population‐based screening among all adults and address geographical barriers to care. [ABSTRACT FROM AUTHOR]

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Objective: To determine whether observed patterns of physician interaction around shared patients are associated with higher levels of teamwork as perceived by physicians.Data Sources/study Setting: Michigan Medicare beneficiaries who underwent coronary artery bypass grafting (CABG) procedures at 24 hospitals in the state between 2008 and 2011.Study Design: We assessed hospital teamwork using the teamwork climate scale in the Safety Attitudes Questionnaire. After aggregating across CABG discharges at these hospitals, we mapped the physician referral networks (including both surgeons and nonsurgeons) that served them and measured three network properties: (1) reinforcement, (2) clustering, and (3) density. We then used multilevel regression models to identify associations between network properties and teamwork at the hospitals on which the networks were anchored.Principal Findings: In hospitals where physicians repeatedly cared for patients with the same colleagues, physicians perceived better teamwork (β-reinforcement = 3.28, p = .003). When physicians who worked together also had other colleagues in common, the reported teamwork was stronger (β clustering = 1.71, p = .001). Reported teamwork did not change when physicians worked with a higher proportion of other physicians at the hospital (β density = -0.58, p = .64).Conclusion: In networks with higher levels of reinforcement and clustering, physicians perceive stronger teamwork, perhaps because the strong ties between them create a shared understanding; however, sharing patients with more physicians overall (i.e., density) did not lead to stronger teamwork. Clinical and organizational leaders may consider designing the structure of clinical teams to increase interactions with known colleagues and repeated interactions between providers. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives: Establishing the relationship between various doses of an exposure and a response variable is integral to many studies in health care. Linear parametric models, widely used for estimating dose–response relationships, have several limitations. This paper employs the optimal discriminant analysis (ODA) machine‐learning algorithm to determine the degree to which exposure dose can be distinguished based on the distribution of the response variable. By framing the dose–response relationship as a classification problem, machine learning can provide the same functionality as conventional models, but can additionally make individual‐level predictions, which may be helpful in practical applications like establishing responsiveness to prescribed drug regimens. Method: Using data from a study measuring the responses of blood flow in the forearm to the intra‐arterial administration of isoproterenol (separately for 9 black and 13 white men, and pooled), we compare the results estimated from a generalized estimating equations (GEE) model with those estimated using ODA. Results: Generalized estimating equations and ODA both identified many statistically significant dose–response relationships, separately by race and for pooled data. Post hoc comparisons between doses indicated ODA (based on exact P values) was consistently more conservative than GEE (based on estimated P values). Compared with ODA, GEE produced twice as many instances of paradoxical confounding (findings from analysis of pooled data that are inconsistent with findings from analyses stratified by race). Conclusions: Given its unique advantages and greater analytic flexibility, maximum‐accuracy machine‐learning methods like ODA should be considered as the primary analytic approach in dose–response applications. [ABSTRACT FROM AUTHOR]

ACADEMIC EMERGENCY MEDICINE 2012; 19: 525-534 © 2012 by the Society for Academic Emergency Medicine Abstract Objectives: Testing and treatment are essential aspects of the delivery of emergency care. Recognition of the effects of these activities on emergency department (ED) length of stay (LOS) has implications for administrators planning efficient operations, providers, and patients regarding expectations for length of visit; researchers in creating better models to predict LOS; and policy-makers concerned about ED crowding. Methods: A secondary analysis was performed using years 2006 through 2008 of the National Hospital Ambulatory Medical Care Survey (NHAMCS), a nationwide study of ED services. In univariate and bivariate analyses, the authors assessed ED LOS and frequency of testing (blood test, urinalysis, electrocardiogram [ECG], radiograph, ultrasound, computed tomography [CT], or magnetic resonance imaging [MRI]) and treatment (providing a medication or performance of a procedure) according to disposition (discharged or admitted status). Two sets of multivariable models were developed to assess the contribution of testing and treatment to LOS, also stratified by disposition. The first was a series of logistic regression models to provide an overview of how testing and treatment activity affects three dichotomized LOS cutoffs at 2, 4, and 6 hours. The second was a generalized linear model (GLM) with a log-link function and gamma distribution to fit skewed LOS data, which provided time costs associated with tests and treatment. Results: Among 360 million weighted ED visits included in this analysis, 227 million (63%) involved testing, 304 million (85%) involved treatment, and 201 million (56%) involved both. Overall, visits with any testing were associated with longer LOS (median = 196 minutes; interquartile range [IQR] = 125 to 305 minutes) than those with any treatment (median = 159 minutes; IQR = 91 to 262 minutes). This difference was more pronounced among discharged patients than admitted patients. Obtaining a test was associated with an adjusted odds ratio (OR) of 2.29 (95% confidence interval [CI] = 1.86 to 2.83) for experiencing a more than 4-hour LOS, while performing a treatment had no effect (adjusted OR = 0.84; 95% CI = 0.68 to 1.03). The most time-costly testing modalities included blood test (adjusted marginal effects on LOS = +72 minutes; 95% CI = 66 to 78 minutes), MRI (+64 minutes; 95% CI = 36 to 93 minutes), CT (+59 minutes; 95% CI = 54 to 65 minutes), and ultrasound (US; +56 minutes; 95% CI = 45 to 67 minutes). Treatment time costs were less substantial: performing a procedure (+24 minutes; 95% CI = 20 to 28 minutes) and providing a medication (+15 minutes; 95% CI = 8 to 21 minutes). Conclusions: Testing and less substantially treatment were associated with prolonged LOS in the ED, particularly for blood testing and advanced imaging. This knowledge may better direct efforts at streamlining delivery of care for the most time-costly diagnostic modalities or suggest areas for future research into improving processes of care. Developing systems to improve efficient utilization of these services in the ED may improve patient and provider satisfaction. Such practice improvements could then be examined to determine their effects on ED crowding. [ABSTRACT FROM AUTHOR]

Objective: To identify key characteristics of a national quality campaign that participants viewed as effective, to understand mechanisms by which the campaign influenced hospital practices, and to elucidate contextual factors that modified the perceived influence of the campaign on hospital improvements.Data Sources: In-depth interviews, hospital surveys, and Health Quality Alliance data.Study Design: We conducted a qualitative study using in-depth interviews with clinical and administrative staff (N = 99) at hospitals reporting strong influence (n = 6) as well as hospitals reporting limited influence (n = 6) of the Door-to-Balloon (D2B) Alliance, a national quality campaign to improve heart attack care. We analyzed these qualitative data as well as changes in hospital use of recommended strategies reported through a hospital survey and changes in treatment times using Health Quality Alliance data.Data Collection Methods: In-depth, open-ended interviews; hospital survey.Principal Findings: Key characteristics of the national quality campaign viewed as enhancing its effectiveness were as follows: credibility of the recommendations, perceived simplicity of the recommendations, alignment with hospitals' strategic goals, practical implementation tools, and breadth of the network of peer hospitals in the D2B Alliance. Perceived mechanisms of the campaign's influence included raising awareness and influencing goals, fostering strategy adoption, and influencing aspects of organizational culture. Modifying contextual factors included perceptions about current performance and internal championship for the recommended changes.Conclusions: The impact of national quality campaigns may depend on both campaign design features and on the internal environment of participating hospitals. [ABSTRACT FROM AUTHOR]

Beta-Blockers and Microvolt T-Wave Alternans. Introduction: Results of microvolt T-wave alternans (MTWA) studies vary and may be influenced by whether beta-blocker therapy was withheld prior to MTWA assessment. We conducted a meta-analysis of the predictive value of MTWA screening for ventricular arrhythmic events in primary prevention patients with left ventricular dysfunction and examined whether results differed depending upon whether beta-blocker use was withheld prior to MTWA testing. Methods and Results: Prospective studies that evaluated whether MTWA predicted ventricular arrhythmic events published between January 1980 and September 2008 were identified. Summary estimates for the predictive value of MTWA were derived with random-effects models. Nine studies involving 3,939 patients were identified. Overall, an abnormal MTWA (positive and indeterminate) test was associated with an almost 2-fold increased risk for arrhythmic events (pooled RR = 1.95, 95% CI: 1.29–2.96; P = 0.002). However, significant heterogeneity across studies was observed (P = 0.024). In the 4 studies in which beta-blocker therapy was not withheld prior to MTWA assessment, an abnormal MTWA test was associated with a 5-fold increased risk for arrhythmic events (pooled RR = 5.39, 95% CI: 2.68–10.84; P < 0.001) and was robust to sensitivity analyses. In contrast, the association was much weaker in those studies where the use of beta-blocker therapy was withheld prior to MTWA testing (pooled RR = 1.40, 95% CI: 1.06–1.84; P = 0.02). Conclusions: In primary prevention patients with left ventricular dysfunction, the predictive power of MTWA varied widely, based on whether beta-blocker therapy was withheld prior to its assessment. This observation may explain the inconsistent results of MTWA studies in this population. (J Cardiovasc Electrophysiol, Vol. 21, pp. 1009-1014, September 2010) [ABSTRACT FROM AUTHOR]

Differences in the use of implantable cardioverter-defibrillators (ICDs) have been reported, but the extent to which they have widened after the publication of major clinical trials supporting their use is unclear. Using data on Medicare beneficiaries, the authors determined annual age-standardized population-based utilization rates of ICDs for white men, black men, white women, and black women from 1997 to 2003. During the study period, overall use of ICDs increased most for white men (81.7–254.7 procedures per 100,000 from 1997 to 2003) and black men (38.0–151.7 procedures per 100,000), with white women (28.9–98.4 procedures per 100,000) and black women (18.2–77.3 procedures per 100,000) showing smaller increases in comparison. After adjustment with multivariable regression models, differences in utilization rates between whites and men widened compared with blacks and women between 1997 and 2003, a period when indications for ICD therapy have expanded. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To examine the extent to which elderly individuals use various skilled care facilities after coronary artery bypass grafting (CABG). DESIGN: Retrospective cohort study. SETTING: State of Michigan from 1997 to 1998. PARTICIPANTS: Residents aged 65 and older enrolled in Medicare who underwent CABG. MEASUREMENTS: Cumulative incidence of admission within 100 days of hospital discharge, relative risk (RR) of admission, readmission or extended stay at a skilled care facility, and length of stay in a skilled care facility. RESULTS: Fifty percent of patients aged 80 and older used a skilled care facility after CABG, with most requiring admission to a skilled nursing facility (SNF) or readmission to an acute-care hospital within 100 days after discharge. Patients aged 80 and older had a significantly higher risk of admission to a SNF (adjusted RR = 3.3, 95% confidence interval (CI) = 2.8-4.0) than did those aged 65 to 69, as did patients aged 75 to 79 (adjusted RR = 2.2, 95% CI = 1.8-2.6) and those aged 70 to 74 (adjusted RR= 1.5, 95% CI = 1.3-1.8). The length of time spent in skilled care facilities significantly increased with age (mean days = 13.3 for aged 65-69, 16.9 for 70-74, 19.6 for 75-79, and 22.9 for 80 and older; P<.001). CONCLUSION: Older patients are more likely to be admitted to a SNF, be readmitted to an acute-care hospital, and have longer institutional stays after CABG. When balancing the risks and benefits of CABG, physicians, patients, families, and policy-makers need to carefully consider the likelihood of follow-up institutional care in elderly patients. [ABSTRACT FROM AUTHOR]

Background Survivors of in-hospital cardiac arrest (IHCA) experience ongoing physical and cognitive impairments, often requiring support from a caregiver at home afterwards. Caregivers are important in the survivor's recovery, yet there is little research specifically focused on their experiences once the survivor is discharged home. In this study, we highlight how caregivers for veteran IHCA survivors described and experienced their caregiver role, the strategies they used to fulfill their role, and the additional needs they still have years after the IHCA event. Methods and Results Between March and July 2019, semistructured telephone interviews were conducted with 12 caregivers for veteran IHCA survivors. Interviews were transcribed, and content analysis was performed. Patterns within the data were further analyzed and grouped into themes. A predominant theme of "disruption" was identified across 3 different domains including the following: (1) disruption in caregiver's life, (2) disruption in caregiver-patient relationship, and (3) disruption in caregiver's well-being. Disruption was associated with both positive and negative caregiver experiences. Strategies caregivers used and resources they felt would have helped them adjust to their caregiver role were also identified. Conclusions Caregivers for veteran IHCA survivors experienced a disruption in many facets of their lives. Caregivers felt the veterans' IHCA impacted various aspects of their lives, and they continued to need additional support in order to care for the IHCA survivor and themselves. Although some were able to procure coping strategies, such as counseling and engaging in stress-relieving activities, most indicated additional help and resources were still needed.