Joint Letter Regarding Customs and Border Patrol Medical Services

Joint Letter Re: Protecting Access to Post-COVID-19 Telehealth Act of 2020 (HR 7663)

Thank You Letter on Preventing Maternal Deaths Act

Joint Letter to President and Congressional Leaders in Support of CSR Funding

Joint Letter to CMS on Patient-Centered Medical Homes in MACRA

Joint Letter Opposing the Chiropractic Medicare Coverage Modernization Act of 2025

Joint Letter in Opposition to Legislation Barring DEI Initiatives in Medical School

Joint Letter Opposing HR 884, the Medicare Mental Health Access Act

Preserve Guaranteed Coverage of Women’s Preventive Services, Including Contraception

Joint Letter Opposing Changes to ACA Section 1557 LGBTQ Nondiscrimination Protection

Attention Among Health Care Professionals: A Scoping Review: Annals of Internal Medicine: Vol 177, No 7

Background: The concept of attention can provide insight into the needs of clinicians and how health systems design can impact patient care quality and medical errors. Purpose: To conduct a scoping review to 1) identify and characterize literature relevant to clinician attention; 2) compile metrics used to measure attention; and 3) create a framework of key concepts. Data Sources: Cumulated Index to Nursing and Allied Health Literature (CINAHL), Medline (PubMed), and Embase (Ovid) from 2001 to 26 February 2024. Study Selection: English-language studies addressing health care worker attention in patient care. At least dual review and data abstraction. Data Extraction: Article information, health care professional studied, practice environment, study design and intent, factor type related to attention, and metrics of attention used. Data Synthesis: Of 6448 screened articles, 585 met inclusion criteria. Most studies were descriptive (n = 469) versus investigational (n = 116). More studies focused on barriers to attention (n = 387; 342 descriptive and 45 investigational) versus facilitators to improving attention (n = 198; 112 descriptive and 86 investigational). We developed a framework, grouping studies into 6 categories: 1) definitions of attention, 2) the clinical environment and its effect on attention, 3) personal factors affecting attention, 4) relationships between interventions or factors that affect attention and patient outcomes, 5) the effect of clinical alarms and alarm fatigue on attention, and 6) health information technology’s effect on attention. Eighty-two metrics were used to measure attention. Limitations: Does not synthesize answers to specific questions. Quality of studies was not assessed. Conclusion: This overview may be a resource for researchers, quality improvement experts, and health system leaders to improve clinical environments. Future systematic reviews may synthesize evidence on metrics to measure attention and on the effectiveness of barriers or facilitators related to attention. Primary Funding Source: None.

Strengthening the Integrity of the Match: A Novel, Comprehensive, Standardized, and Transparent Postinterview Communication Policy

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.

Ensuring Adequate Preparation for Patient Care Through Interprofessional Team-Based Training and Postgraduate Residencies for Nonphysician Clinicians

Does Racial Bias Play a Role in Internal Medicine Resident Knowledge Evaluations?

Effect of Isocaloric, Time-Restricted Eating on Body Weight in Adults With Obesity: A Randomized Controlled Trial: Annals of Internal Medicine: Vol 177, No 5

Background: Time-restricted eating (TRE) lowers body weight in many studies. Whether TRE induces weight loss independent of reductions in calorie intake, as seen in rodent studies, is unknown. Objective: To determine the effect of TRE versus a usual eating pattern (UEP) on body weight in the setting of stable caloric intake. Design: Randomized, isocaloric feeding study. (ClinicalTrials.gov: NCT03527368) Setting: Clinical research unit. Participants: Adults with obesity and prediabetes or diet-controlled diabetes. Intervention: Participants were randomly assigned 1:1 to TRE (10-hour eating window, 80% of calories before 1 p.m.) or UEP (≤16-hour window, ≥50% of calories after 5 p.m.) for 12 weeks. Both groups had the same nutrient content and were isocaloric with total calories determined at baseline. Measurements: Primary outcome was change in body weight at 12 weeks. Secondary outcomes were fasting glucose, homeostatic model assessment for insulin resistance (HOMA-IR), glucose area under the curve by oral glucose tolerance test, and glycated albumin. We used linear mixed models to evaluate the effect of interventions on outcomes. Results: All 41 randomly assigned participants (mean age, 59 years; 93% women; 93% Black race; mean BMI, 36 kg/m2) completed the intervention. Baseline weight was 95.6 kg (95% CI, 89.6 to 101.6 kg) in the TRE group and 103.7 kg (CI, 95.3 to 112.0 kg) in the UEP group. At 12 weeks, weight decreased by 2.3 kg (CI, 1.0 to 3.5 kg) in the TRE group and by 2.6 kg (CI, 1.5 to 3.7 kg) in the UEP group (average difference TRE vs. UEP, 0.3 kg [CI, −1.2 to 1.9 kg]). Change in glycemic measures did not differ between groups. Limitation: Small, single-site study; baseline differences in weight by group. Conclusion: In the setting of isocaloric eating, TRE did not decrease weight or improve glucose homeostasis relative to a UEP, suggesting that any effects of TRE on weight in prior studies may be due to reductions in caloric intake. Primary Funding Source: American Heart Association.

Effect of Starting Dialysis Versus Continuing Medical Management on Survival and Home Time in Older Adults With Kidney Failure: A Target Trial Emulation Study: Annals of Internal Medicine: Vol 177, No 9

Background: For older adults with kidney failure who are not referred for transplant, medical management is an alternative to dialysis. Objective: To compare survival and home time between older adults who started dialysis at an estimated glomerular filtration rate (eGFR) less than 12 mL/min/1.73 m2 and those who continued medical management. Design: Observational cohort study using target trial emulation. Setting: U.S. Department of Veterans Affairs, 2010 to 2018. Participants: Adults aged 65 years or older with chronic kidney failure and eGFR below 12 mL/min/1.73 m2 who were not referred for transplant. Intervention: Starting dialysis within 30 days versus continuing medical management. Measurements: Mean survival and number of days at home. Results: Among 20 440 adults (mean age, 77.9 years [SD, 8.8]), the median time to dialysis start was 8.0 days in the group starting dialysis and 3.0 years in the group continuing medical management. Over a 3-year horizon, the group starting dialysis survived 770 days and the group continuing medical management survived 761 days (difference, 9.3 days [95% CI, −17.4 to 30.1 days]). Compared with the group continuing medical management, the group starting dialysis had 13.6 fewer days at home (CI, 7.7 to 20.5 fewer days at home). Compared with the group continuing medical management and forgoing dialysis completely, the group starting dialysis had longer survival by 77.6 days (CI, 62.8 to 91.1 days) and 14.7 fewer days at home (CI, 11.2 to 16.5 fewer days at home). Limitation: Potential for unmeasured confounding due to lack of symptom assessments at eligibility; limited generalizability to women and nonveterans. Conclusion: Older adults starting dialysis when their eGFR fell below 12 mL/min/1.73 m2 who were not referred for transplant had modest gains in life expectancy and less time at home. Primary Funding Source: U.S. Department of Veterans Affairs and National Institutes of Health.

The Impact of Health Care Algorithms on Racial and Ethnic Disparities: A Systematic Review: Annals of Internal Medicine: Vol 177, No 4

Background: There is increasing concern for the potential impact of health care algorithms on racial and ethnic disparities. Purpose: To examine the evidence on how health care algorithms and associated mitigation strategies affect racial and ethnic disparities. Data Sources: Several databases were searched for relevant studies published from 1 January 2011 to 30 September 2023. Study Selection: Using predefined criteria and dual review, studies were screened and selected to determine: 1) the effect of algorithms on racial and ethnic disparities in health and health care outcomes and 2) the effect of strategies or approaches to mitigate racial and ethnic bias in the development, validation, dissemination, and implementation of algorithms. Data Extraction: Outcomes of interest (that is, access to health care, quality of care, and health outcomes) were extracted with risk-of-bias assessment using the ROBINS-I (Risk Of Bias In Non-randomised Studies – of Interventions) tool and adapted CARE-CPM (Critical Appraisal for Racial and Ethnic Equity in Clinical Prediction Models) equity extension. Data Synthesis: Sixty-three studies (51 modeling, 4 retrospective, 2 prospective, 5 prepost studies, and 1 randomized controlled trial) were included. Heterogenous evidence on algorithms was found to: a) reduce disparities (for example, the revised kidney allocation system), b) perpetuate or exacerbate disparities (for example, severity-of-illness scores applied to critical care resource allocation), and/or c) have no statistically significant effect on select outcomes (for example, the HEART Pathway [history, electrocardiogram, age, risk factors, and troponin]). To mitigate disparities, 7 strategies were identified: removing an input variable, replacing a variable, adding race, adding a non–race-based variable, changing the racial and ethnic composition of the population used in model development, creating separate thresholds for subpopulations, and modifying algorithmic analytic techniques. Limitation: Results are mostly based on modeling studies and may be highly context-specific. Conclusion: Algorithms can mitigate, perpetuate, and exacerbate racial and ethnic disparities, regardless of the explicit use of race and ethnicity, but evidence is heterogeneous. Intentionality and implementation of the algorithm can impact the effect on disparities, and there may be tradeoffs in outcomes. Primary Funding Source: Agency for Healthcare Quality and Research.

School Mask Mandates and COVID-19: The Challenge of Using Difference-in-Differences Analysis of Observational Data to Estimate the Effectiveness of a Public Health Intervention

Background: There are considerable challenges when using difference-in-differences (DiD) analysis of ecological data to estimate the effectiveness of public health interventions in rapidly changing situations. Objective: To discuss the shortcomings of DiD methodology for the estimation of the effects of public health interventions using ecological data. Design: As an example, the authors consider an analysis that used DiD methodology and reported a causal reduction in COVID-19 cases due to the maintenance of school mask mandates. They did alternate analyses using various control groups to assess the robustness of the prior analysis. Setting: School districts in the greater Boston area and Massachusetts during the 2021-to-2022 academic year. Participants: Students and school staff. Measurements: Changes in COVID-19 case rates in districts that did and did not lift mask mandates. Results: Important potential confounders rendered DiD methodology inappropriate for causal inference, including prior immunity, temporal variation in rates of infection, and changes in testing practices. The racial composition and income of intervention and control groups also differed substantially. Compared with maintaining the mask requirement, dropping the requirement was associated with anywhere from an increase of 5.64 cases (95% CI, 3.00 to 8.29 cases) per 1000 persons to a decrease of 2.74 cases (CI, 0.63 to 4.85 cases) per 1000 persons, depending on choice of control group and whether students or staff were examined. Limitation: Ecological data were used; detailed data on all potential confounders were unavailable. Conclusion: Alternate analyses yielded estimates consistent with a wide range of both negative and positive associations in COVID-19 case rates after removal of mask mandates. The findings highlight the challenges of using DiD analysis of ecological data to estimate the effectiveness of interventions in divergent intervention and control groups during rapidly changing circumstances. Primary Funding Source: None.

Computer-Aided Diagnosis for Leaving Colorectal Polyps In Situ: A Systematic Review and Meta-analysis: Annals of Internal Medicine: Vol 177, No 7

Background: Computer-aided diagnosis (CADx) allows prediction of polyp histology during colonoscopy, which may reduce unnecessary removal of nonneoplastic polyps. However, the potential benefits and harms of CADx are still unclear. Purpose: To quantify the benefit and harm of using CADx in colonoscopy for the optical diagnosis of small (≤5-mm) rectosigmoid polyps. Data Sources: Medline, Embase, and Scopus were searched for articles published before 22 December 2023. Study Selection: Histologically verified diagnostic accuracy studies that evaluated the real-time performance of physicians in predicting neoplastic change of small rectosigmoid polyps without or with CADx assistance during colonoscopy. Data Extraction: The clinical benefit and harm were estimated on the basis of accuracy values of the endoscopist before and after CADx assistance. The certainty of evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework. The outcome measure for benefit was the proportion of polyps predicted to be nonneoplastic that would avoid removal with the use of CADx. The outcome measure for harm was the proportion of neoplastic polyps that would be not resected and left in situ due to an incorrect diagnosis with the use of CADx. Histology served as the reference standard for both outcomes. Data Synthesis: Ten studies, including 3620 patients with 4103 small rectosigmoid polyps, were analyzed. The studies that assessed the performance of CADx alone (9 studies; 3237 polyps) showed a sensitivity of 87.3% (95% CI, 79.2% to 92.5%) and specificity of 88.9% (CI, 81.7% to 93.5%) in predicting neoplastic change. In the studies that compared histology prediction performance before versus after CADx assistance (4 studies; 2503 polyps), there was no difference in the proportion of polyps predicted to be nonneoplastic that would avoid removal (55.4% vs. 58.4%; risk ratio [RR], 1.06 [CI, 0.96 to 1.17]; moderate-certainty evidence) or in the proportion of neoplastic polyps that would be erroneously left in situ (8.2% vs. 7.5%; RR, 0.95 [CI, 0.69 to 1.33]; moderate-certainty evidence). Limitation: The application of optical diagnosis was only simulated, potentially altering the decision-making process of the operator. Conclusion: Computer-aided diagnosis provided no incremental benefit or harm in the management of small rectosigmoid polyps during colonoscopy. Primary Funding Source: European Commission. (PROSPERO: CRD42023402197)