Reported Political Participation by Physicians vs Nonphysicians.

This study uses survey data to compare rates of political participation between US physicians and nonphysicians from 2017 to 2021.

Cost-benefit analysis of intraoperative neuromonitoring for cardiac surgery.

BACKGROUND: Intraoperative neuromonitoring (IONM) can detect large vessel occlusion (LVO) in real-time during surgery. The aim of this study was to conduct a cost-benefit analysis of utilizing IONM among patients undergoing cardiac surgery. METHODS: A decision-analysis tree with terminal Markov nodes was constructed to model functional outcome, as measured via the modified Rankin Scale (mRS), among 65-year-old patients undergoing cardiac surgery. Our cost-benefit analysis compares the use of IONM (electroencephalography and somatosensory evoked potential) against no IONM in preventing neurological complications from perioperative LVO during cardiac surgery. The study was performed over a lifetime horizon from a societal perspective in the United States. Base case and one-way probabilistic sensitivity analyses were performed. RESULTS: At a baseline LVO rate of 0.31%, the mean attributable lifetime expenditure for IONM-monitored cardiac surgeries relative to unmonitored cardiac surgeries was $1047.41 (95% CI, $742.12 - $1445.10). At a critical LVO rate of approximately 3.67%, the costs of both monitored and unmonitored cardiac surgeries were the same. Above this critical rate, implementing IONM became cost-saving. On one-way sensitivity analysis, variation in LVO rate from 0% - 10% caused lifetime costs attributable to receiving IONM to range from $1150.47 - $29404.61; variations in IONM cost, percentage of intervenable LVOs, IONM sensitivity, and mechanical thrombectomy cost exerted comparably minimal influence over lifetime costs. DISCUSSION: We find considerable cost savings favoring the use of IONM under certain parameters corresponding to high-risk patients. This study will provide financial perspective to policymakers, clinicians, and patients alike on the appropriate use of IONM during cardiac surgery.

Disparities in Stage at Presentation Among Hispanic and Latinx Patients With Non-Small-Cell Lung Cancer in the United States.

PURPOSE: Hispanic and Latinx people in the United States are the fastest-growing ethnic group. However, previous studies in non-small-cell lung cancer (NSCLC) often analyze these diverse communities in aggregate. We aimed to identify differences in NSCLC stage at diagnosis in the US population, focusing on disaggregated Hispanic/Latinx individuals. METHODS: Data from the National Cancer Database from 2004 to 2018 identified patients with primary NSCLC. Individuals were disaggregated by racial and ethnic subgroup and Hispanic country of origin. Ordinal logistic regression adjusting for age, facility type, income, educational attainment, comorbidity index, insurance, and year of diagnosis was used to create adjusted odds ratios (aORs), with higher odds representing diagnosis at later-stage NSCLC. RESULTS: Of 1,565,159 patients with NSCLC, 46,616 were Hispanic/Latinx (3.0%). When analyzed in the setting of race and ethnicity, Hispanic patients were more likely to be diagnosed with metastatic disease compared with non-Hispanic White (NHW) patients: 47.0% for Hispanic Black, 46.0% Hispanic White, and 44.3% of Hispanic other patients versus 39.1% of non-Hispanic White patients (P < .001 for all). By country of origin, 51.4% of Mexican, 41.7% of Puerto Rican, 44.6% of Cuban, 50.8% of South or Central American, 48.4% of Dominican, and 45.6% of other Hispanic patients were diagnosed with metastatic disease, compared with 39.1% of NHWs. Conversely, 20.2% of Mexican, 26.9% of Puerto Rican, 24.2% of Cuban, 22.5% of South or Central American, 23.7% of Dominican, and 24.5% of other Hispanic patients were diagnosed with stage I disease, compared with 30.0% of NHWs. All Hispanic groups were more likely to present with later-stage NSCLC than NHW patients (greatest odds for Mexican patients, aOR, 1.44; P < .001). CONCLUSION: Hispanic/Latinx patients with non-small-cell lung cancer were more likely to be diagnosed with advanced disease compared with NHWs. Disparities persisted upon disaggregation by both race and country of origin, with over half of Mexican patients with metastatic disease at diagnosis. Disparities among Hispanic/Latinx groups by race and by country of origin highlight the shortcomings of treating these groups as a monolith and underscore the need for disaggregated research and targeted interventions.

An introduction to digital determinants of health.

In recent years, technology has been increasingly incorporated within healthcare for the provision of safe and efficient delivery of services. Although this can be attributed to the benefits that can be harnessed, digital technology has the potential to exacerbate and reinforce preexisting health disparities. Previous work has highlighted how sociodemographic, economic, and political factors affect individuals' interactions with digital health systems and are termed social determinants of health [SDOH]. But, there is a paucity of literature addressing how the intrinsic design, implementation, and use of technology interact with SDOH to influence health outcomes. Such interactions are termed digital determinants of health [DDOH]. This paper will, for the first time, propose a definition of DDOH and provide a conceptual model characterizing its influence on healthcare outcomes. Specifically, DDOH is implicit in the design of artificial intelligence systems, mobile phone applications, telemedicine, digital health literacy [DHL], and other forms of digital technology. A better appreciation of DDOH by the various stakeholders at the individual and societal levels can be channeled towards policies that are more digitally inclusive. In tandem with ongoing work to minimize the digital divide caused by existing SDOH, further work is necessary to recognize digital determinants as an important and distinct entity.

Outcomes after Perioperative Transient Ischemic Attack Following Cardiac Surgery.

Perioperative transient ischemic attacks (PTIAs) are associated with significantly increased rates of postoperative complications such as low cardiac output, atrial fibrillation, and significantly higher mortality in cardiac procedures. The current literature on PTIAs is sparse and understudied. Therefore, we aim to understand the effects of PTIA on hospital utilization, readmission, and morbidity. Using data on all the cardiac procedures at the University of Pittsburgh Medical Center from 2011 to 2019, fine and gray analysis was performed to identify whether PTIAs and covariables correlate with increased hospital utilization, stroke, all-cause readmission, Major Adverse Cardiac and Cerebrovascular Events (MACCE), MI, and all-cause mortality. Logistic regression for longer hospitalization showed that PTIA (HR: 2.199 [95% CI: 1.416-3.416] increased utilization rates. Fine and gray modeling indicated that PTIA (HR: 1.444 [95% CI: 1.096-1.902], p < 0.01) increased the rates of follow-up all-cause readmission. However, PTIA (HR: 1.643 [95% CI: 0.913-2.956] was not statistically significant for stroke readmission modeling. Multivariate modeling for MACCE events within 30 days of surgery (HR: 0.524 [95% CI: 0.171-1.605], p > 0.25) and anytime during the follow-up period (HR: 1.116 [95% CI: 0.825-1.509], p > 0.45) showed no significant correlation with PTIA. As a result of PTIA's significant burden on the healthcare system due to increased utilization, it is critical to better define and recognize PTIA for timely management to improve perioperative outcomes.

Trends and Determinants of Location of Death Due to Colorectal Cancer in the United States : A Nationwide Study.

BACKGROUND: Colorectal cancer (CRC) is the second leading cause of cancer-related mortality in the United States (US); however, there are limited data on location of death in patients who die from CRC. We examined the trends in location of death and determinants in patients dying from CRC in the US. METHODS: We utilized the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database to extract nationwide data on underlying cause of death as CRC. A multinomial logistic regression was performed to assess associations between clinico-sociodemographic characteristics and location of death. RESULTS: There were 850,750 deaths due to CRC from 2003 to 2019. There was a gradual decrease in deaths in hospital, nursing home, or outpatient facility/emergency department over time and an increase in deaths at home and in hospice. Relative to White decedents, Black, Asian, and American Indian/Alaska Native decedents were less likely to die at home and in hospice compared with hospitals. Individuals with lower educational status also had a lower risk of dying at home or in hospice compared with in hospitals. CONCLUSIONS: The gradual shift in location of death of patients who die of CRC from institutionalized settings to home and hospice is a promising trend and reflects the prioritization of patient goals for end-of-life care by healthcare providers. However, there are existing sociodemographic disparities in access to deaths at home and in hospice, which emphasizes the need for policy interventions to reduce health inequity in end-of-life care for CRC.

Access and barriers to genomic classifiers for breast cancer and prostate cancer in India.

The incidence of cancer in general, including breast and prostate cancer specifically, is increasing in India. Breast and prostate cancers have genomic classifiers developed to guide therapy decisions. However, these genomic classifiers are often inaccessible in India due to high cost. These classifiers may also be less suitable to the Indian population, as data primarily from patients in wealthy Western countries were used in developing these genomic classifiers. In addition to the limitations in using these existing genomic classifiers, developing and validating new genomic classifiers for breast and prostate cancer in India is challenging due to the heterogeneity in the Indian population. However, there are steps that can be taken to address the various barriers that currently exist for accurate, accessible genomic classifiers for cancer in India.

Corporate Social Responsibility Framework: An Innovative Solution to Social Determinants of Health in the USA.

PURPOSE: Expand firms' corporate social responsibility (CSR) framework to systematically address social determinants of health (SDOH) in their communities and improve firms' performance (FP). GAP: The U.S. healthcare system has struggled to improve population health outcomes while enhancing delivery performance. An oft-overlooked contributor to this deficit is SDOH inequities, accounting for 25-60% of deaths in the USA annually. Ironically, most healthcare firms do not view investment in SDOH, a neglected phenomenon, to develop sustainable healthy communities as their direct responsibility due to the "wrong pocket problem." Although extant literature theorizes the CSR construct, there is a paucity of research on SDOH integration with the CSR framework. DESIGN: We integrate a quantitative and qualitative study with supplementary literature on CSR and SDOH using the grounded theory method by researching fourteen health plan firms across the USA. FINDINGS: Research reveals early efforts undertaken by top-performing healthcare insurers to address SDOH and provides evidence that such measures can be integrated profitably under CSR as a competitive advantage. ORIGINALITY: Contributes to CSR theory and practice by providing an empirical model and expanding its framework to address SDOH systematically. Key implications are as follows: (1) healthcare firms to link with unconventional partners, such as housing authorities, food banks, employment agencies, and schools; (2) the entire healthcare supply chain to collaborate with social enterprises and regulators to develop sustainable communities; (3) policymakers must incentivize firms to align social equity and corporate goals; and (4) long-term view on CSR, SDOH, and healthy living (HL) will in-turn eliminate social inequities while enhancing FP.

Trends in Location of Death for Individuals With Ovarian Cancer in the United States.

Using the publicly available Centers for Disease Control and Prevention's WONDER (Wide-ranging Online Data for Epidemiologic Research) database from 2003 to 2019, we evaluated associations between decedent characteristics and location of death for patients with ovarian malignancy. We found that Black, Native American, Asian American, and Hispanic patients were more likely to die in hospitals than White patients, despite an overall reduction in hospital deaths and an overall increase in hospice facility deaths. Additionally, patients with lesser educational attainment were more likely to die in nursing facilities and less likely to die in hospice facilities. Although there may be some contribution from cultural preferences, these findings may represent disparities in access to palliative care affecting people with cancer from racial and ethnic minoritized groups.

Trends in Utilization and Medicare Spending on Short-Course Radiation Therapy for Breast and Prostate Cancer: An Episode-Based Analysis From 2015 to 2019.

PURPOSE: Evidence supports the value of shorter, similarly efficacious, and potentially more cost-effective hypofractionated radiation therapy (RT) regimens in many clinical scenarios for breast cancer (BC) and prostate cancer (PC). However, practice patterns vary considerably. We used the most recent Centers for Medicare and Medicaid Services data to assess trends in RT cost and practice patterns among episodes of BC and PC. METHODS AND MATERIALS: We performed a retrospective cohort analysis of all external beam RT episodes for BC and PC from 2015 to 2019 to assess predictors of short-course RT (SCRT) use and calculated spending differences. Multivariable logistic regression defined adjusted odds ratios of receipt of SCRT over longer-course RT (LCRT) by treatment modality, age, year of diagnosis, type of practice, and the interaction between year and treatment setting. Medicare spending was evaluated using multivariable linear regression controlling for duration of RT regimen (SCRT vs LCRT) in addition to the above covariables. RESULTS: Of 143,729 BC episodes and 114,214 PC episodes, 63,623 (44.27%) and 25,955 (22.72%) were SCRT regimens, respectively. Median total spending for SCRT regimens among BC episodes was $9418 (interquartile range [IQR], $7966-$10,983) versus $13,602 (IQR, $11,814-$15,499) for LCRT. Among PC episodes, median total spending was $6924 (IQR, $4,509-$12,905) for stereotactic body RT, $18,768 (IQR, $15,421-$20,740) for moderate hypofractionation, and $27,319 (IQR, $25,446-$29,421) for LCRT. On logistic regression, receipt of SCRT was associated with older age among both BC and PC episodes as well as treatment at hospital-affiliated over freestanding sites (P < .001 for all). CONCLUSIONS: In this evaluation of BC and PC RT episodes from 2015 to 2019, we found that shorter-course RT resulted in lower costs than longer-course RT. SCRT was also more common in hospital-affiliated sites. Future research focusing on potential payment incentives encouraging SCRT when clinically appropriate in the 2 most common cancers treated with RT will be valuable as the field continues to prospectively evaluate cost-effective hypofractionation in other disease sites.

A burden shared: the financial, psychological, and health-related consequences borne by family members and caregivers of people with cancer in India.

In India, approximately 1.4 million new cases of cancer are recorded annually, with 26.7 million people living with cancer in 2021. Providing care for family members with cancer impacts caregivers' health and financial resources. Effects on caregivers' health and financial resources, understood as family and caregiver "financial toxicity" of cancer, are important to explore in the Indian context, where family members often serve as caregivers, in light of cultural attitudes towards family. This is reinforced by other structural issues such as grave disparities in socioeconomic status, barriers in access to care, and limited access to supportive care services for many patients. Effects on family caregivers' financial resources are particularly prevalent in India given the increased dependency on out-of-pocket financing for healthcare, disparate access to insurance coverage, and limitations in public expenditure on healthcare. In this paper, we explore family and caregiver financial toxicity of cancer in the Indian context, highlighting the multiple psychosocial aspects through which these factors may play out. We suggest steps forward, including future directions in (1) health services research, (2) community-level interventions, and (3) policy changes. We underscore that multidisciplinary and multi-sectoral efforts are needed to study and address family and caregiver financial toxicity in India.

The impact of commercial health datasets on medical research and health-care algorithms.

As the health-care industry emerges into a new era of digital health driven by cloud data storage, distributed computing, and machine learning, health-care data have become a premium commodity with value for private and public entities. Current frameworks of health data collection and distribution, whether from industry, academia, or government institutions, are imperfect and do not allow researchers to leverage the full potential of downstream analytical efforts. In this Health Policy paper, we review the current landscape of commercial health data vendors, with special emphasis on the sources of their data, challenges associated with data reproducibility and generalisability, and ethical considerations for data vending. We argue for sustainable approaches to curating open-source health data to enable global populations to be included in the biomedical research community. However, to fully implement these approaches, key stakeholders should come together to make health-care datasets increasingly accessible, inclusive, and representative, while balancing the privacy and rights of individuals whose data are being collected.