Comparison of Hospital Mortality and Readmission Rates by Physician and Patient Sex.

BACKGROUND: Little is known as to whether the effects of physician sex on patients' clinical outcomes vary by patient sex. OBJECTIVE: To examine whether the association between physician sex and hospital outcomes varied between female and male patients hospitalized with medical conditions. DESIGN: Retrospective observational study. SETTING: Medicare claims data. PATIENTS: 20% random sample of Medicare fee-for-service beneficiaries hospitalized with medical conditions during 2016 to 2019 and treated by hospitalists. MEASUREMENTS: The primary outcomes were patients' 30-day mortality and readmission rates, adjusted for patient and physician characteristics and hospital-level averages of exposures (effectively comparing physicians within the same hospital). RESULTS: Of 458 108 female and 318 819 male patients, 142 465 (31.1%) and 97 500 (30.6%) were treated by female physicians, respectively. Both female and male patients had a lower patient mortality when treated by female physicians; however, the benefit of receiving care from female physicians was larger for female patients than for male patients (difference-in-differences, -0.16 percentage points [pp] [95% CI, -0.42 to 0.10 pp]). For female patients, the difference between female and male physicians was large and clinically meaningful (adjusted mortality rates, 8.15% vs. 8.38%; average marginal effect [AME], -0.24 pp [CI, -0.41 to -0.07 pp]). For male patients, an important difference between female and male physicians could be ruled out (10.15% vs. 10.23%; AME, -0.08 pp [CI, -0.29 to 0.14 pp]). The pattern was similar for patients' readmission rates. LIMITATION: The findings may not be generalizable to younger populations. CONCLUSION: The findings indicate that patients have lower mortality and readmission rates when treated by female physicians, and the benefit of receiving treatments from female physicians is larger for female patients than for male patients. PRIMARY FUNDING SOURCE: Gregory Annenberg Weingarten, GRoW @ Annenberg.

Association between physicians' geriatric training and patterns of end-of-life care delivered to persons with dementia.

BACKGROUND: Geriatric training is designed to prepare physicians to meet the complex needs of older adults, including persons with dementia at the end-of-life (EOL) stage. We sought to compare patterns of EOL care delivered to persons with dementia between physicians with versus without geriatric training. METHODS: We conducted a cross-sectional study of a 20% random sample of fee-for-service Medicare beneficiaries with dementia who died in 2016-2018 (n = 99,631). We attributed beneficiaries to a physician who had the largest number of primary care visits during the last 6 months of life and determined whether the physician was trained in geriatrics. Our outcome measures included: (i) advance care planning (ACP) and palliative care (e.g., ACP, hospice enrollment in the last 90 days of life), and (ii) high-intensity EOL care (e.g., emergency department visits or hospital admissions in the last 30 days of life). RESULTS: Beneficiaries with dementia under the care of physicians with geriatric training had a higher proportion of ACP (adjusted proportion, 15.8% vs. 13.0%; p < 0.001 after accounting for multiple comparisons), palliative care counseling (22.4% vs. 20.9%; p = 0.01), and hospice enrollment (63.7% vs. 60.6%; p < 0.001). Geriatric training was also associated with a lower proportion of emergency department visits (55.1% vs. 59.1%; p < 0.001), hospital admissions (48.8% vs. 52.3%; p < 0.001), ICU admissions (24.9% vs. 27.4%; p < 0.001), use of mechanical ventilation (11.2% vs. 13.0%; p < 0.001), and use of cardiopulmonary resuscitation (2.1% vs. 2.4%; p = 0.03) in the last 30 days of life. There was no evidence that the placement of feeding tubes differed between the two groups. CONCLUSIONS: Physicians' geriatric training was associated with the receipt of more ACP and palliative care and less intensive EOL care among persons with dementia. Provision of geriatric training for physicians may have the potential to improve the quality of EOL care delivered to persons with dementia.

Longitudinal Patterns in Testosterone Prescribing After US FDA Safety Communication in 2014.

BACKGROUND: The objective of this study was to describe changes in testosterone prescribing following a 2014 US Food and Drug Administration (FDA) safety communication and how changes varied by physician characteristics. METHODS: Data were extracted from a 20% random sample of Medicare fee-for-service administrative claims data from 2011 through 2019. The sample included 1,544,604 unique male beneficiaries who received evaluation and management (E&M) services from 58,819 unique physicians that prescribed testosterone between 2011 and 2013. Patients were categorized based on presence of coronary artery disease (CAD) and non-age-related hypogonadism. Physician characteristics were identified in the OneKey database and included specialty and affiliations with teaching hospitals, for-profit hospitals, hospitals in integrated delivery networks, and hospitals in the top decile of case mix index. Linear segmented models described how testosterone prescriptions changed following a 2014 FDA safety communication and how changes were associated with physician and organizational characteristics. RESULTS: Among 65,089,560 physician-patient-quarter-year observations, mean (standard deviation) age ranged from 72.16 (5.84) years for observations without CAD or non-age-related hypogonadism to 75.73 (6.92) years with CAD and without non-age-related hypogonadism. Following the safety communication, immediate changes in off-label testosterone prescription levels fell by 0.22 percentage points (pp) (95% confidence interval [CI] -0.33 to -0.11) for patients with CAD and by -0.16 pp (95% CI -0.19 to -0.16) for patients without CAD. A similar change was noticed in on-label prescribing levels. Off-label testosterone prescription quarterly trend, however, increased for patients with CAD and without CAD; on-label testosterone prescription trends declined for both groups. Declines in off-label prescribing were larger when treated by primary care physicians vs. non-primary care physicians, and physicians affiliated with teaching compared to nonteaching hospitals. Physician and organizational characteristics were not associated with changes in on-label prescribing. CONCLUSION: On-label and off-label testosterone therapy declined following the FDA safety communication. Certain physician characteristics were associated with changes in off-label, but not on-label, prescribing.

Comparison of Hospital Outcomes for Patients Treated by Allopathic Versus Osteopathic Hospitalists : An Observational Study.

BACKGROUND: The United States has 2 types of degree programs that educate physicians: allopathic and osteopathic medical schools. OBJECTIVE: To determine whether quality and costs of care differ between hospitalized Medicare patients treated by allopathic or osteopathic physicians. DESIGN: Retrospective observational study. SETTING: Medicare claims data. PATIENTS: 20% random sample of Medicare fee-for-service beneficiaries hospitalized with a medical condition during 2016 to 2019 and treated by hospitalists. MEASUREMENTS: The primary outcome was 30-day patient mortality. The secondary outcomes were 30-day readmission, length of stay (LOS), and health care spending (Part B spending). Multivariable regression models adjusted for patient and physician characteristics and their hospital-level averages (to effectively estimate differences within hospitals) were estimated. RESULTS: Of 329 510 Medicare admissions, 253 670 (77.0%) and 75 840 (23.0%) received care from allopathic and osteopathic physicians, respectively. The results can rule out important differences in quality and costs of care between allopathic versus osteopathic physicians for patient mortality (adjusted mortality, 9.4% for allopathic physicians vs. 9.5% [reference] for osteopathic hospitalists; average marginal effect [AME], -0.1 percentage point [95% CI, -0.4 to 0.1 percentage point]; P = 0.36), readmission (15.7% vs. 15.6%; AME, 0.1 percentage point [CI, -0.4 to 0.3 percentage point; P = 0.72), LOS (4.5 vs. 4.5 days; adjusted difference, -0.001 day [CI, -0.04 to 0.04 day]; P = 0.96), and health care spending ($1004 vs. $1003; adjusted difference, $1 [CI, -$8 to $10]; P = 0.85). LIMITATION: Data were limited to elderly Medicare patients hospitalized with medical conditions. CONCLUSION: The quality and costs of care were similar between allopathic and osteopathic hospitalists when they cared for elderly patients and worked as the principal physician in a team of health care professionals that often included other allopathic and osteopathic physicians. PRIMARY FUNDING SOURCE: National Institutes of Health/National Institute on Aging.

Association Between Emergency Physician's Age and Mortality of Medicare Patients Aged 65 to 89 Years After Emergency Department Visit.

STUDY OBJECTIVE: To determine the association between emergency physicians' ages and patient mortality after emergency department visits. METHODS: This observational study used a 20% random sample of Medicare fee-for-service beneficiaries aged 65 to 89 years treated by emergency physicians at EDs from 2016 to 2017. We investigated whether 7-day mortality after ED visits differed by the age of the emergency physician, adjusting for patient and physician characteristics and hospital fixed effects. RESULTS: We observed 2,629,464 ED visits treated by 32,570 emergency physicians (mean age 43.5). We found that patients treated by younger emergency physicians had lower mortality rates compared with those treated by older physicians. Adjusted 7-day mortality was 1.33% for patients treated by emergency physicians aged less than 40 years, 1.36% (adjusted difference, 0.03%; 95% confidence interval [CI], -0.001% to 0.06%) for physicians ages 40 to 49, 1.40% (0.08%; 95% CI 0.04% to 0.12%) for physicians ages 50 to 59, and 1.43% (0.11%; 95% CI 0.06% to 0.16%) for those with a physician age of 60 years and more. Similar patterns were observed when stratified by the patient's disposition (discharged vs admitted), and the association was more pronounced for patients with higher severity of illness. CONCLUSIONS: Medicare patients aged 65 to 89 years treated by emergency physicians aged under 40 years had lower 7-day mortality rates than those treated by physicians aged 50 to 59 years and 60 years or older within the same hospital. Potential mechanisms explaining the association between emergency physician age and patient mortality (eg, differences in training received and other unobservable patient/physician characteristics) are uncertain and require further study.

Assessing Heuristic Bias During Care for Patients Hospitalized for Heart Failure: Get With The Guidelines-Heart Failure.

BACKGROUND: Heuristic biases are increasingly recognized, and potentially modifiable, contributors to patient care and outcomes. Left digit bias is a cognitive bias where continuous variables are categorized by their left-most digit. The impact of this heuristic bias applied to patient age on quality of care in heart failure has not been explored. METHODS: We examined participants admitted from 2005 to 2021 in the Get With The Guidelines-Heart Failure registry. To create 2 naturally randomized groups, isolating the effect of left digit bias, we dichotomized patients into those discharged within 60 days prior to their 80th birthday (N=4238) and those discharged within 60 days after their 80th birthday (N=4329). We performed multivariable logistic regression to assess the association between discharge date relative to 80th birthday and several in-hospital quality metrics and in-hospital outcomes. Among Medicare participants (N=2759), we performed adjusted Cox regression to analyze the relationship between discharge date and risk of 1-year mortality or readmission. RESULTS: Among 8567 patients, 50.4% were female, 73% were non-Hispanic White, and 42.9% had an ejection fraction ≤40%. Discharge date relative to 80th birthday was not associated with numerous in-hospital quality metrics or in-hospital outcomes on unadjusted or adjusted logistic regression. Among Medicare beneficiaries, there was no association between discharge date and risk of mortality or readmission at 1-year postdischarge (hazard ratio, 1.03 [95% CI, 0.95-1.12]; P=0.52). CONCLUSIONS: In a large registry of patients hospitalized for heart failure, we did not detect a left digit bias' with respect to age at discharge, which resulted in differential quality of care or outcomes.

The Physician and Administrator-Reported Cost of Drug Utilization Management to Physician Practices: A Cross-Sectional Survey.

BACKGROUND: The use of drug utilization management techniques such as formulary exclusions, prior authorizations, and step edits has risen sharply during the last decade, contributing to growing administrative costs for physician practices. However, limited data exist on the extent of these administrative costs, with previous studies relying on data from over a decade ago. OBJECTIVE: The aim of this study was to assess physician and practice administrator experiences with drug utilization management. METHODS: A national survey was conducted between 9 February and 30 March 2021, targeting 925 physicians and administrators working at medical practices in the US. Time spent by physicians and their staff on tasks related to drug utilization management for prescription medications was collected and used to calculate the dollar value of that time. RESULTS: We estimated that physicians spent a median of 4.0 h per week on drug utilization management, while nurses spent 15.0 h and other staff spent between 3.6 and 10.0 h on drug utilization management per physician per week. This time was associated with a calculated median dollar value of $75,927 per physician per year. Extrapolating this estimate to a national scale suggests that time spent annually by physician practices on drug utilization management could be valued at more than $43 billion. CONCLUSIONS: Drug utilization management results in significant time spent by US physician practices, which in turn, results in meaningful costs to these practices. As the prevalence of drug utilization management continues to grow, the impact on physician practices will remain an important topic.

Limitations of standard cost-effectiveness methods for health technology assessment of treatments for rare, chronic diseases: a case study of treatment for cystic fibrosis.

OBJECTIVES: Cost-effectiveness analysis (CEA) is useful to assess the value of health care interventions based on clinical effectiveness and costs. However, standard CEA methods make important assumptions that may significantly increase the incremental cost-effectiveness ratio (ICER) for lifelong treatments for rare, chronic diseases. We used the cost-effectiveness of elexacaftor/tezacaftor/ivacaftor and ivacaftor (ELX/TEZ/IVA) for the treatment of cystic fibrosis as a case study to explore how alternative assumptions for (1) discounting, (2) utility measures, (3) disease management costs, and (4) static drug pricing impact cost-effectiveness outcomes. MATERIALS AND METHODS: Cost-effectiveness of ELX/TEZ/IVA was evaluated using base-case inputs and assumptions reflecting standard CEA methods and was then compared with cost-effectiveness estimates obtained with alternate assumptions: (1) applying a lower discount rate to health benefits (1.5%) than costs (3%); (2) including a treatment-specific utility increment; (3) excluding disease management costs incurred during the period of extended survival attributable to ELX/TEZ/IVA treatment; and (4) decreasing the price of ELX/TEZ/IVA following loss of exclusivity. RESULTS: Modifying assumptions for these four factors together reduced the ICER by 75% from the base case, with the largest reduction (45%) occurring when the price trajectory was modified to allow for generic entry. Differential discounting, use of a treatment-specific utility increment, and exclusion of additional disease management costs each individually reduced the ICER by 36%, 14%, and 10%, respectively, from the base case. CONCLUSIONS: This study illustrates the impact that modifications to standard CEA methods may have on measures of cost-effectiveness for rare, chronic diseases.

An Empirical Assessment of Reviewer 2.

According to research lore, the second peer reviewer (Reviewer 2) is believed to rate research manuscripts more harshly than the other reviewers. The purpose of this study was to empirically investigate this common belief. We measured word count, positive phrases, negative phrases, question marks, and use of the word "please" in 2546 open peer reviews of 796 manuscripts published in the British Medical Journal. There was no difference in the content of peer reviews between Reviewer 2 and other reviewers for word count (630 vs 606, respectively, P = .16), negative phrases (8.7 vs 8.4, P = .29), positive phrases (4.2 vs 4.1, P = .10), question marks (4.8 vs 4.6, P = .26), and uses of "please" (1.0 vs 1.0, P = .86). In this study, Reviewer 2 provided reviews of equal sentiment to other reviewers, suggesting that popular beliefs surrounding Reviewer 2 may be unfounded.

Surgeon Variation in Perioperative Opioid Prescribing and Medium- or Long-term Opioid Utilization after Total Knee Arthroplasty: A Cross-sectional Analysis.

BACKGROUND: Whether a particular surgeon's opioid prescribing behavior is associated with prolonged postoperative opioid use is unknown. This study tested the hypothesis that the patients of surgeons with a higher propensity to prescribe opioids are more likely to utilize opioids long-term postoperatively. METHODS: The study identified 612,378 Medicare fee-for-service patients undergoing total knee arthroplasty between January 1, 2011, and December 31, 2016. "High-intensity" surgeons were defined as those whose patients were, on average, in the upper quartile of opioid utilization in the immediate perioperative period (preoperative day 7 to postoperative day 7). The study then estimated whether patients of high-intensity surgeons had higher opioid utilization in the midterm (postoperative days 8 to 90) and long-term (postoperative days 91 to 365), utilizing an instrumental variable approach to minimize confounding from unobservable factors. RESULTS: In the final sample of 604,093 patients, the average age was 74 yr (SD 5), and there were 413,121 (68.4%) females. A total of 180,926 patients (30%) were treated by high-intensity surgeons. On average, patients receiving treatment from a high-intensity surgeon received 36.1 (SD 35.0) oral morphine equivalent (morphine milligram equivalents) per day during the immediate perioperative period compared to 17.3 morphine milligram equivalents (SD 23.1) per day for all other patients (+18.9 morphine milligram equivalents per day difference; 95% CI, 18.7 to 19.0; P < 0.001). After adjusting for confounders, receiving treatment from a high-intensity surgeon was associated with higher opioid utilization in the midterm opioid postoperative period (+2.4 morphine milligram equivalents per day difference; 95% CI, 1.7 to 3.2; P < 0.001 [11.4 morphine milligram equivalents per day vs. 9.0]) and lower opioid utilization in the long-term postoperative period (-1.0 morphine milligram equivalents per day difference; 95% CI, -1.4 to -0.6; P < 0.001 [2.8 morphine milligram equivalents per day vs. 3.8]). While statistically significant, these differences are clinically small. CONCLUSIONS: Among Medicare fee-for-service patients undergoing total knee arthroplasty, surgeon-level variation in opioid utilization in the immediate perioperative period was associated with statistically significant but clinically insignificant differences in opioid utilization in the medium- and long-term postoperative periods.

Assessment of Perioperative Outcomes Among Surgeons Who Operated the Night Before.

Importance: The association between physician fatigue and patient outcomes is important to understand but has been difficult to examine given methodological and data limitations. Surgeons frequently perform urgent procedures overnight and perform additional procedures the following day, which could adversely affect outcomes for those daytime operations. Objective: To examine the association between an attending surgeon operating overnight and outcomes for operations performed by that surgeon the next day. Design, Setting, and Participants: In this cross-sectional study, a retrospective analysis of a large multicenter registry of surgical procedures was done using a within-surgeon analysis to address confounding, with data from 20 high-volume US institutions. This study included 498 234 patients who underwent a surgical procedure during the day (between 7 am and 5 pm) between January 1, 2010, and August 30, 2020. Exposures: Whether the attending surgeon for the current day's procedures operated between 11 pm and 7 am the previous night. Two exposure measures were examined: whether the surgeon operated at all the previous night and the number of hours spent operating the previous night (including having performed no work at all). Main Outcomes and Measures: The primary composite outcome was in-hospital death or major complication (sepsis, pneumonia, myocardial infarction, thromboembolic event, or stroke). Secondary outcomes included operation length and individual outcomes of death, major complications, and minor complications (surgical site infection or urinary tract infection). Results: Among 498 234 daytime operations performed by 1131 surgeons, 13 098 (2.6%) involved an attending surgeon who operated the night before. The mean (SD) age of the patients who underwent an operation was 55.3 (16.4) years, and 264 740 (53.1%) were female. After adjusting for operation type, surgeon fixed effects, and observable patient characteristics (ie, age and comorbidities), the adjusted incidence of in-hospital death or major complications was 5.89% (95% CI, 5.41%-6.36%) among daytime operations when the attending surgeon operated the night before compared with 5.87% (95% CI, 5.85%-5.89%) among daytime operations when the same surgeon did not (absolute adjusted difference, 0.02%; 95% CI, -0.47% to 0.51%; P = .93). No significant associations were found between overnight work and secondary outcomes except for operation length. Operating the previous night was associated with a statistically significant decrease in length of daytime operations (adjusted length, 112.7 vs 117.4 minutes; adjusted difference, -4.7 minutes; 95% CI, -8.7 to -0.8, P = .02), although this difference is unlikely to be meaningful. Conclusions and Relevance: The findings of this cross-sectional study suggest that operating overnight was not associated with worse outcomes for operations performed by surgeons the subsequent day. These results provide reassurance concerning the practice of having attending surgeons take overnight call and still perform operations the following morning.

Association Between Changes in Postoperative Opioid Utilization and Long-Term Health Care Spending Among Surgical Patients With Chronic Opioid Utilization.

BACKGROUND: There is growing interest in identifying and developing interventions aimed at reducing the risk of increased, long-term opioid use among surgical patients. While understanding how these interventions impact health care spending has important policy implications and may facilitate the widespread adoption of these interventions, the extent to which they may impact health care spending among surgical patients who utilize opioids chronically is unknown. METHODS: This study was a retrospective analysis of administrative health care claims data for privately insured patients. We identified 53,847 patients undergoing 1 of 10 procedures between January 1, 2004, and September 30, 2018 (total knee arthroplasty, total hip arthroplasty, laparoscopic cholecystectomy, open cholecystectomy, laparoscopic appendectomy, open appendectomy, cesarean delivery, functional endoscopic sinus surgery, transurethral resection of the prostate, or simple mastectomy) who had chronic opioid utilization (≥10 prescriptions or ≥120-day supply in the year before surgery). Patients were classified into 3 groups based on differences in opioid utilization, measured in average daily oral morphine milligram equivalents (MMEs), between the first postoperative year and the year before surgery: "stable" (<20% change), "increasing" (≥20% increase), or "decreasing" (≥20% decrease). We then examined the association between these 3 groups and health care spending during the first postoperative year, using a multivariable regression to adjust for observable confounders, such as patient demographics, medical comorbidities, and preoperative health care utilization. RESULTS: The average age of the sample was 62.0 (standard deviation [SD] 13.1) years, and there were 35,715 (66.3%) women. Based on the change in average daily MME between the first postoperative year and the year before surgery, 16,961 (31.5%) patients were classified as "stable," 15,463 (28.7%) were classified as "increasing," and 21,423 (39.8%) patients were classified as "decreasing." After adjusting for potential confounders, "increasing" patients had higher health care spending ($37,437) than "stable" patients ($31,061), a difference that was statistically significant ($6377; 95% confidence interval [CI], $5669-$7084; P < .001), while "decreasing" patients had lower health care spending ($29,990), a difference (-$1070) that was also statistically significant (95% CI, -$1679 to -$462; P = .001). These results were generally consistent across an array of subgroup and sensitivity analyses. CONCLUSIONS: Among patients with chronic opioid utilization before surgery, subsequent increases in opioid utilization during the first postoperative year were associated with increased health care spending during that timeframe, while subsequent decreases in opioid utilization were associated with decreased health care spending.

Association of Fluoroquinolone Prescribing Rates With Black Box Warnings from the US Food and Drug Administration.

Importance: In 2013 and 2016, the US Food and Drug Administration (FDA) issued warnings and recommended limited use of fluoroquinolones for patients with certain acute conditions. It is not clear how prescribers have responded to these warnings. Objective: To analyze changes in prescribing of fluoroquinolones after the 2013 and 2016 FDA warnings and to examine the physician characteristics associated with these changes. Design, Setting, and Participants: This cross-sectional study used Medicare administrative claims data on Medicare fee-for-service beneficiaries and OneKey data on physicians and their organizations from January 1, 2011, to December 31, 2017. The sample was restricted to outpatient visits for sinusitis, bronchitis, and uncomplicated urinary tract infections. An interrupted time series approach was used to analyze the changes in the prescription rate after each FDA warning. Data analysis was performed between January 1, 2011, and December 31, 2017. Interventions: Two FDA black box warnings released in August 2013 and July 2016. Main Outcomes and Measures: The main outcome was an indicator for fluoroquinolone prescriptions in 3 periods: before the 2013 warning (baseline period), after the 2013 warning but before the 2016 warning (postwarning period 1), and after the 2016 warning (postwarning period 2). Results: The sample comprised 1 238 397 unique patients with a total of 2 720 071 outpatient acute care visits. Of this sample, 848 360 were women (68.5%), and the mean (SD) age was 69.7 (12.6) years. The immediate prescribing levels of fluoroquinolones in postwarning period 1 increased by 3.42 percentage points (95% CI, 3.23-3.62; P < .001) and declined by -0.77 percentage points (95% CI, -1.00 to -0.54; P < .001) in postwarning period 2. The prescribing trend increased by 0.08 percentage points per month (95% CI, 0.08-0.10; P < .001) in postwarning period 1 and 0.06 percentage points per month (95% CI, 0.04-0.08; P < .001) in postwarning period 2. In postwarning period 1, the prescribing levels for physicians who were affiliated with hospitals with a top 10th percentile case mix index vs those without such affiliation decreased by -1.13 percentage points (95% CI, -1.92 to -0.34; P = .005), whereas the levels for primary care physicians declined by -1.34 percentage points (95% CI, -1.78 to -0.88; P < .001) compared with non-primary care physicians in postwarning period 2. Physicians at teaching hospitals were the only ones who showed a decline in prescribing trend in postwarning period 1. Conclusions and Relevance: This cross-sectional study found an overall decline in prescribing of fluoroquinolones after the release of FDA warnings. Understanding the association of physician and organizational characteristics with fluoroquinolone prescribing behavior may ultimately help to identify mechanisms to improve de-adoption.

Association Between Physician Part-time Clinical Work and Patient Outcomes.

Importance: Despite the growing number of physicians who reduce clinical time owing to research, administrative work, and family responsibilities, the quality of care provided by these physicians remains unclear. Objective: To examine the association between the number of days worked clinically per year by physicians and patient mortality. Design, Setting, and Participants: This cross-sectional analysis was completed on a 20% random sample of Medicare fee-for-service beneficiaries 65 years and older who were admitted to the hospital with an emergency medical condition and treated by a hospitalist in 2011 through 2016. Because hospitalists typically work in shifts, hospitalists' patients are plausibly quasirandomized to hospitalists based on the hospitalists' work schedules (natural experiment). The associations between hospitalists' number of days worked clinically per year and 30-day patient mortality and readmission rates were examined, adjusting for patient and physician characteristics and hospital fixed effects (effectively comparing physicians within the same hospital). Data analysis was conducted from July 1, 2020, to July 2, 2021. Exposures: Physicians' number of days worked clinically per year. Main Outcomes and Measures: The primary outcome was 30-day patient mortality, and the secondary outcome was 30-day patient readmission. Results: Among 392 797 hospitalizations of patients treated by 19 170 hospitalists (7482 female [39.0%], 11 688 male [61.0%]; mean [SD] age, 41.1 [8.8] years), patients treated by physicians with more days worked clinically exhibited lower mortality. Adjusted 30-day mortality rates were 10.5% (reference), 10.0% (adjusted risk difference [aRD], -0.5%; 95% CI, -0.8% to -0.2%; P = .002), 9.5% (aRD, -0.9%; 95% CI, -1.2% to -0.6%; P < .001), and 9.6% (aRD, -0.9%; 95% CI, -1.2% to -0.6%; P < .001) for physicians in the first (bottom), second, third, and fourth (top) quartile of days worked clinically, respectively. Readmission rates were not associated with the numbers of days a physician worked clinically (adjusted 30-day readmissions for physicians in the bottom quartile of days worked clinically per year vs those in the top quartile, 15.3% vs 15.2%; aRD, -0.1%; 95% CI, -0.5% to 0.3%; P = .61). Conclusions and Relevance: In this cross-sectional study, hospitalized Medicare patients treated by physicians who worked more clinical days had lower 30-day mortality. Given that physicians with reduced clinical time must often balance clinical and nonclinical obligations, improved support by institutions may be necessary to maintain the clinical performance of these physicians.

Noninvasive ventilation at home reduces mortality in COPD with CRF.

OBJECTIVES: Patients with chronic respiratory failure resulting from chronic obstructive pulmonary disease (COPD-CRF) have limited treatment options and poor health outcomes. We examined the effect of noninvasive ventilation at home (NIVH) treatment on all-cause mortality, hospitalizations, and emergency department (ED) visits. STUDY DESIGN: Retrospective cohort study. METHODS: Using Medicare claims data between 2012 and 2017, we divided patients with COPD-CRF into a treatment group, defined by NIVH receipt within 2 months of CRF diagnosis, and a control group without NIVH receipt in the entire follow-up period. We modeled time to death, first hospitalization, and first ED visit. Cox regressions were performed, mitigating selection bias using stabilized inverse probability of treatment weights with regression controls. Sensitivity analyses with time-varying exposure to NIVH were conducted on the full sample irrespective of treatment timing. RESULTS: We identified 410 patients treated with NIVH and 36,247 controls. We observed a reduced risk of hospitalizations (HR, 0.790; 95% CI, 0.592-0.988), ED visits (HR, 0.571; 95% CI, 0.457-0.686), and mortality (HR, 0.617; 95% CI, 0.462-0.772). The benefit of NIVH diminished over time for mortality and ED visits but remained constant for hospitalizations. However, no survival benefit was observed in the sensitivity analyses that accounted for immortal-time bias; further exploration suggests that earlier NIVH treatment following CRF diagnosis may be an important factor in improving survival outcomes. CONCLUSIONS: Patients with COPD-CRF who received NIVH had statistically significant reductions in hospitalizations and ED visits compared with patients not treated with NIVH. Further research is needed to examine the effect of NIVH on mortality.

Physician Network Connections Associated With Faster De-Adoption of Dronedarone for Permanent Atrial Fibrillation.

BACKGROUND: Physicians' professional networks are an important source of new medical information and have been shown to influence the adoption of new treatments, but it is unknown how physician networks impact the de-adoption of harmful practices. METHODS: We analyzed changes in physicians' use of dronedarone after the PALLAS trial (Palbociclib Collaborative Adjuvant Study; November 2011) showed that dronedarone increased the risk of death from cardiovascular events among patients with permanent atrial fibrillation. Deidentified administrative claims from the OptumLabs Data Warehouse were combined with physicians' demographic information from the Doximity database and publicly available data on physicians' patient-sharing relationships compiled by the Centers for Medicare and Medicaid Services. We used a linear probability model with an interrupted linear time trend specification to model the impact of the PALLAS trial on physicians' dronedarone usage between 2009 and 2014. RESULTS: Before the PALLAS trial, the use of dronedarone was increasing by 0.22 percentage points per quarter (95% CI, 0.19-0.25) in our Medicare Advantage sample (N=343 429 patient-quarter observations) and 0.63 percentage points per quarter (95% CI, 0.52-0.75) in our commercially insured sample (N=44 402 patient-quarter observations). After the PALLAS trial and subsequent United States Food and Drug Administration black box warning, physicians in the Medicare Advantage sample with an above-median number of network connections to other physicians decreased their quarterly usage of dronedarone by 0.12 percentage points more per quarter (95% CI, -0.20 to -0.04; P=0.031) than physicians with equal to or below the median number of network connections. Similar patterns existed in the commercially insured sample (P=0.0318). CONCLUSIONS: After controlling for a wide range of patient, physician, and geographic characteristics, physicians with a greater number of network connections were faster de-adopters of dronedarone for patients with permanent atrial fibrillation after the PALLAS trial and subsequent United States Food and Drug Administration black box warning detailed the harmfulness of dronedarone for these patients. Policies for improving physicians' responsiveness to new medical information should consider utilizing the influence of these important professional network relationships.