The Cost of Unhealthy Days: A New Value Assessment.

For-profit companies addressing disparities in social determinants of health (SDOH), also known as SDOH Industry companies, often lack member-level claims data to evaluate their organizational interventions. Health-related quality of life (HRQOL) measures, such as the Centers for Disease Control and Prevention's Healthy Days Measure, offer a unique proxy metric to evaluate impact. This retrospective study sought to explore the association between self-reported physically and mentally unhealthy days with health care costs among a Medicare Advantage (MA) population. A cross-sectional study of MA members receptive to a companion care program, and thus likely to have unmet social needs, was conducted. The analysis included members with recorded baseline unhealthy days and complete claims data (n = 2,354). Least squares regression analyses were performed to determine the relationship between baseline medical costs, physically unhealthy days, and mentally unhealthy days. A review of Major Diagnostic Categories (MDCs) was also included to elucidate the strength of the Healthy Days Measure as an indicator of the burden of health conditions. Each additional unhealthy day reported was associated with an increase in 30-day medical costs of $60 and $34 for physically and mentally unhealthy days, respectively. Unhealthy days and costs increased with an increasing number of MDCs. Compared with previous studies linking unhealthy days and health care expenditure, these data reveal the potential for even higher savings by reducing the number of unhealthy days in a high-risk population. This evidence supports using unhealthy days as a HRQOL measure and as an important tool for cost estimations.

Social Determinants of Health Impact Complications Following Free-Flap Reconstruction for Head and Neck Cancer.

OBJECTIVE: Head and neck cancers (HNCs) have increased in prevalence and often require free-flap reconstruction (FFR) after tumor ablation. Postoperative complications following FFR can be high, occurring in as many as 48% and 71% of cases. HNC patients also have many disparities in Social Determinants of Health (SDOH), but the potential impact of SDOH disparities on postoperative complications following FFR has not been formally assessed. STUDY DESIGN: Retrospective cohort review. SETTING: Academic Tertiary Care Institution in Northeast United States. METHODS: Patients that underwent head and neck FFR between January 2018 and December 2021 were analyzed to determine associations between quartiles of the national Area Deprivation Index (ADI), a proxy for SDOH disparity, and various medical and surgical postoperative complications. Associations were assessed using χ2 analysis. RESULTS: Two hundred four patients were included in the study, and 61 patients had 97 complications. Significant associations between higher national ADI quartile and incidence of several postoperative complications were identified, including any surgical complication (P = .0419), wound dehiscence (P = .0494), myocardial infarction (MI) (P = .0215), and sepsis (P = .0464). CONCLUSION: There are significant associations between SDOH disparities and postoperative surgical complications, wound dehiscence, MI, and sepsis following head and neck FFR. Addressing SDOH disparities in HNC is pivotal to enhance postoperative outcomes and promote holistic patient care.

Charting a Path to the Quintuple Aim: Harnessing AI to Address Social Determinants of Health.

The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70-80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and community-based organizations (CBOs), but these pathways have had limited success in connecting patients with resources. Given that health inequity is expected to cost the United States nearly USD 300 billion by 2050, new artificial intelligence (AI) technology may aid providers in addressing SDOH. In this commentary, we present our experience with using ChatGPT to obtain SDOH management recommendations for archetypal patients in Philadelphia, PA. ChatGPT identified relevant SDOH resources and provided contact information for local organizations. Future exploration could improve AI prompts and integrate AI into electronic medical records to provide healthcare providers with real-time SDOH recommendations during appointments.

The Social Determinants of Health Industry: Two Years On.

Social determinants of health (SDOH) have been insufficiently addressed by payers and providers despite increased prioritization at the national level. This led to the development of a separate, for-profit "SDOH industry" found to have a valuation of $18.5 billion (all dollar amounts in U.S. dollars) with $2.4 billion in funding as of July 2021. The purpose of this article is to determine the growth of the industry from 2021 to 2023 and provide a multifaceted explanation for this development. The authors conducted an analysis of 57 SDOH industry companies using a third-party market research platform. Over the previous two-year period, 10 out of 57 (18%) companies were acquired, and the industry gained an additional $1.1 billion (46% increase) in funding and $13.7 billion (74% increase) in valuation. The authors propose four contributing factors to explain the nature of this industry's evolution. They include developments in national health care policy favoring SDOH, standardization of SDOH information as actionable claims data, multi-source investment in SDOH, and improved methods of industry intervention measurement. These trends appear likely to continue, requiring additional scrutiny by all relevant stakeholders to ensure maximum improvement of rampant SDOH disparities that impact millions of individuals daily.

Addressing Financial Toxicity in Head and Neck Cancer-A Crucial Imperative.

This Viewpoint calls for consideration of the financial costs of head and neck cancer care when choosing treatment strategies for patients who may face severe financial stress or insolvency due to cancer treatment.

Modified Frailty Index Associates With Transoral Robotic Surgery Complications and Survival: A National Database Study.

OBJECTIVE: The modified frailty index (mFI-5) is a National Surgical Quality Improvement Program-derived 5-factor index that has been proven to reflect frailty and predict morbidity and mortality. We hypothesize that mFI-5 is a valid predictive measure in the transoral robotic surgery (TORS) population. METHODS: Retrospective study utilizing the TriNetX US-collaborative health records network querying for TORS patients. Cohorts were stratified by mFI-5 score which uses five ICD-10 codes: nonindependent functional status, hypertension, obstructive respiratory disease, heart failure, and diabetes mellitus. Cohorts were matched by age using propensity score matching. Outcome measures included survival, infection, pneumonia, tracheostomy dependence, and percutaneous endoscopic gastrostomy dependence. Reported odds ratios were normalized to mFI-5 = 0. RESULTS: A total of 9,081 patients were included in the final analysis. Greater mFI-5 scores predicted decreased survival and increased incidence of postoperative infection and pneumonia. Odds of 5-year mortality were 1.93 (p = 0.0003) for mFI-5 = 2 and 1.90 (p = 0.0002) for mFI-5 = 3. Odds of 2-year mortality were 1.25 (p = 0.0125) for mFI-5 = 1, 1.58 (p = 0.0002) for mFI-5 = 2, and 1.87 (p = 0.003) for mFI-5 = 3. Odds of postoperative infection were 1.51 (p = 0.02) for mFI-5 = 2 and 1.78 (p = 0.05) for mFI-5 = 3. Two-year odds of developing pneumonia were 1.69 (p = 0.0001) for mFI-5 = 2 and 2.84 (p < 0.0001) for mFI-5 = 3. Two-month odds of pneumonia were 1.50 (p = 0.0259) for mFI-5 = 2 and 2.55 (p = 0.0037) for mFI-5 = 3. mFI-5 = 4 or 5 had too few patients to analyze. Using polynomial regression to model age versus incident 5-year post-TORS death (R2 = 0.99), mFI-5 scores better predicted survival than age alone. CONCLUSION: This study demonstrates that mFI-5 predicts mortality, pneumonia, and postoperative infection independently of age. LEVEL OF EVIDENCE: 4 Laryngoscope, 2024.

The Academic Payvider Model: Care and Coverage.

The US health care system has significant room for growth to achieve the Quintuple Aim. Reforming the relationship between payers and providers is pivotal to enhancing value-based care (VBC). The Payvider model, a joint approach to care and coverage rooted in vertical integration, is a potential solution. The authors aimed to investigate academic medical institutions adopting this model, termed Academic Payviders. All Association of American Medical Colleges (AAMC)-member allopathic medical schools were evaluated to identify programs meeting the inclusion criteria of offering both medical care and insurance coverage to patients via partnership with a payer or ownership of, or by, a payer. Twenty-five Academic Payvider systems were identified from 171 total AAMC-member programs. Most programs were founded after 2009 (n = 20), utilized a provider-dominant structural model (n = 17), and offered health plans to patients via Medicare Advantage (n = 23). Passage of the Affordable Care Act, recent trends in health care consolidation, and increased political and financial prioritization of social determinants of health (SDOH) may help to explain the rise of this care and coverage model. The Academic Payvider movement could advance academic medicine toward greater acceptance of VBC via innovations in medical education, resource stewardship in residency, and the establishment of innovative leadership positions at the administrative level.

Integrating Choosing Wisely, Value-Based Care Principles, Into Undergraduate Medical Education: A Pilot Study.

BACKGROUND: Healthcare spending represents a large portion of the GDP of the United States. Value-based care (VBC) seeks to decrease waste in health care spending, yet this concept is insufficiently taught to medical students. The Choosing Wisely Students and Trainees Advocating for Resource Stewardship (STARS) campaign promotes initiatives that integrate knowledge of VBC into undergraduate medical education (UME). This study sought to determine the most effective strategy to educate medical students on key principles of VBC as taught by the STARS campaign. METHODS: Choosing Wisely principles were incorporated into the UME curriculum of an academic medical institution via the creation of eight new learning objectives (LOs) for case-based learning (CBL) sessions and lectures. Medical students completed an annual 10-question survey from 2019 to 2022 and 10 formal examination questions during the preclinical (years 1 and 2) curriculum after exposure to varying quantities of LOs. Pearson correlation, chi-square, and logistic regression were employed to determine the association between increased LOs in the curriculum and (1) campaign awareness and (2) knowledge of VBC principles. RESULTS: A total of 700 survey responses over a four-year period (2019 to 2022) were analyzed. Student awareness of the campaign and knowledge of VBC principles increased year over year during the survey period (39% to 92% and 64% to 74%, respectively). There were significant associations between increased LOs in the curriculum and (1) campaign awareness (0.828, p<0.0001) and (2) knowledge of VBC principles (0.934, p<0.001). Students also performed well on formal examination questions related to VBC principles (mean: 81.5% and mean discrimination index: 0.18). CONCLUSION: Integration of VBC-focused LOs is significantly associated with awareness of the Choosing Wisely STARS campaign and knowledge of VBC principles taught by the campaign. Collaborative initiatives to increase exposure to VBC education may improve students' knowledge of these principles during medical school.

Upper helical reconstruction during aesthetic facelift procedure: a case report.

We present a case of a two-stage reconstruction of a traumatic right upper helix deformity using a random pattern layover skin flap in conjunction with an aesthetic facelift procedure. This serves to encourage reconstructive surgeons to be mindful about seeking opportunities to address additional patient concerns when appropriate and safe.

Physician Burnout and Medical Errors: Exploring the Relationship, Cost, and Solutions.

Physician burnout has demonstrated risks to providers and patients through medical errors. This review aims to synthesize current data surrounding burnout and its impacts on quality to inform targeted interventions that benefit providers and patients. Preferred Reporting Items for Systematic Reviews and Meta-Analyses scoping review methodology was utilized to identify studies of quantitative metrics for burnout and medical errors. Three independent reviewers conducted screening, study selection, and data extraction. Of 1096 identified articles, 21 were analyzed. Overall, 80.9% used the Maslach Burnout Inventory to evaluate for burnout. Moreover, 71.4% used self-reported medical errors as their primary outcome measure. Other outcome measures included observed/identified clinical practice errors and medication errors. Ultimately, 14 of 21 studies found links between burnout and clinically significant errors. Significant associations exist between burnout and medical errors. Physician demographics, including psychological factors, well-being, and training level, modulate this relationship. Better metrics are necessary to quantify errors and their impacts on outcomes. These findings may inform novel interventions that target burnout and improve experiences.

For Profit, but Socially Determined: The Rise of the SDOH Industry.

Social determinants of health (SDOH) are the greatest predictors of one's health status. There are clear SDOH disparities present in the United States, many of which have been especially evident during the COVID pandemic. SDOH have become a greater focus of payers, including Centers for Medicare & Medicaid Services (CMS). CMS has updated the reimbursement structure of Medicare and Medicaid to incentivize more SDOH-related interventions. Providers are also growing increasingly attentive to the SDOH needs of their patients, but often are unable to sufficiently address them outside of care settings. The combination of increased SDOH funding with inefficient mechanisms to meet patients' SDOH needs has led to the emergence of the for-profit SDOH industry. The purpose of this paper was to investigate the industry and identify its size, scope, and future implications. The authors conducted an analysis of for-profit SDOH companies using a third-party industry research platform. A collection of 58 companies was identified with $2.4 billion in funding and a total valuation of over $18.5 billion as of July, 2021. Two literature searches were conducted to support strategy recommendations for critically evaluating SDOH outcomes from these companies, and to determine the downstream effects they will have on community-based organizations also working to improve SDOH.

Model for Mitigation of Workplace Transmission of COVID-19 Through Population-Based Testing and Surveillance.

The coronavirus disease-2019 (COVID-19) pandemic is having a widespread impact on societies across the globe. As part of the effort to control transmission in the United States, many businesses either closed or instituted nonpharmaceutical control measures and allowed only essential workers on-site. During summer and fall of 2020, employers began formulating "return to work" strategies designed to mitigate the risk of transmission among employees. On a population level, several countries implemented national testing and surveillance strategies that proved effective in mitigating citizen-to-citizen transmission and contributed to suppressing COVID-19. A crucial component of many such strategies is population-based testing to identify and engage individuals with asymptomatic or presymptomatic infection, which also is relevant to return-to-work strategies. The authors describe an approach that multisite employers might use to help mitigate transmission of COVID-19 in the workplace. This approach leverages a bioinformatics platform informed by real-time PCR test data at the county and subcounty (eg, Public Use Microdata Area) level, allowing for population-based testing to be selectively targeted for employees in geographies with elevated SARS-CoV-2 positivity. A "Command Center" application integrates data from multiple sources (eg, local infection trends, employee symptom diaries, Bluetooth thermometers) in real time, which can be used to inform decisions regarding surveillance and employee self-isolation or quarantine; a mobile phone-based application provides for rapid, secure communication with employees. This overview is based on peer-reviewed literature and the early experience of a large employer with implementing bioinformatics tools to mitigate the impact of the pandemic on the workplace.

Return to Work: Managing Employee Population Health During the COVID-19 Pandemic.

Coronavirus disease-2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has abruptly transformed the outlook of employer health benefits plans for 2020 and 2021. Containing the spread of the virus and facilitating care of those infected have quickly emerged as immediate priorities. Employers have adjusted health benefits coverage to make COVID-19 testing and treatment accessible and remove barriers to care in order to facilitate the containment of the disease. Employers also are introducing strategies focused on testing, surveillance, workplace modifications, and hygiene to keep workforces healthy and workplaces safe. This paper is intended to provide evidence-based perspectives for self-insured employers for managing population health during the COVID-19 pandemic. Such considerations include (1) return to work practices focused on mitigating the spread of COVID-19 through safety practices, testing and surveillance; and (2) anticipating the impact of COVID-19 on health benefits and costs (including adaptations in delivery of care, social and behavioral health needs, and managing interrupted care for chronic conditions).