Corrigendum: Guaranteed Income and Financial Treatment Trial (GIFT Trial or GIFTT): a 12-month, randomized controlled trial to compare the effectiveness of monthly unconditional cash transfers to treatment as usual in reducing financial toxicity in people with cancer who have low incomes.

[This corrects the article DOI: 10.3389/fpsyg.2023.

Corrigendum: Guaranteed Income and Financial Treatment (G.I.F.T.): a 12-month, randomized controlled trial to compare the effectiveness of monthly unconditional cash transfers to treatment as usual in reducing financial toxicity in people with cancer who have low incomes.

[This corrects the article DOI: 10.3389/fpsyg.2023.

Guaranteed Income and Financial Treatment Trial (GIFT Trial or GIFTT): a 12-month, randomized controlled trial to compare the effectiveness of monthly unconditional cash transfers to treatment as usual in reducing financial toxicity in people with cancer who have low incomes.

Cancer-related financial hardship (i.e., financial toxicity) has been associated with anxiety and depression, greater pain and symptom burden, treatment nonadherence, and mortality.

Factors Associated With the Acceptance of New TRICARE and Medicare Patients by Health Care Providers.

We use data from the 2012-2015 TRICARE Standard Survey to examine factors that affect civilian health care providers' acceptance of patients covered by the U.S. Department of Defense's TRICARE insurance program and Medicare.

Provider Acceptance And Beneficiary Access Under TRICARE's PPO Health Plan.

TRICARE provides health benefits to more than nine million beneficiaries (active duty and retired military members and their families). Complaints about access to civilian providers in TRICARE's preferred provider organization (PPO) plan led Congress to mandate surveys of beneficiaries and providers to identify the extent of the problem and the reasons for it. The beneficiary survey asked about beneficiaries' perceived access to care, and the provider survey asked about providers' acceptance of TRICARE patients.

Using Predictive Analytics for Early Identification of Short-Term Disability Claimants Who Exhaust Their Benefits.

Purpose Early interventions can help short-term disability insurance (STDI) claimants return to work following onset of an off-the-job medical condition. Accurately targeting such interventions involves identifying claimants who would, without intervention, exhaust STDI benefits and transition to longer-term support. We identify factors that predict STDI exhaustion and transfer to long-term disability insurance (LTDI).

Opportunities for Early Intervention to Avoid Prolonged Work Disability: Introduction to the Special Section.

Purpose The articles in this special section examine opportunities for early intervention that is intended to retain the jobs of workers who have medical conditions that could put them at risk of prolonged work disability. Methods The first three articles examine options for analyzing various types of disability claims data for targeting early intervention; the fourth article provides new information from 50 case studies on how employers decide to invest in the retention of individual workers. Results Together, the four articles demonstrate that there may be an opportunity to positively affect longer-term outcomes for workers with medical conditions.

Employers' Perspectives on Accommodating and Retaining Employees with Newly Acquired Disabilities: An Exploratory Study.

Introduction Timely and appropriate accommodations can help employees who experience disabilities stay at work instead of exiting the labor force. Employers can play a critical role in connecting such workers with the accommodations they need. This qualitative study seeks to inform policy makers who want to improve workforce retention outcomes by uncovering factors that affect whether employers provide accommodations to, and ultimately retain, employees with disabilities.

Early Identification of Potential SSDI Entrants in California: The Predictive Value of State Disability Insurance and Workers' Compensation Claims.

Purpose Examine the potential for using information in short-term disability claims to identify workers at high risk of leaving the workforce and entering Social Security Disability Insurance (SSDI). Methods We analyze state-wide California data on claimants of State Disability Insurance (SDI) and Workers' Compensation (WC) and present statistics on: (1) characteristics (primary diagnosis, sex, age, geography, wage level) by claim duration (0-3, 4-6, 7-12, 12 + months); and (2) the ability of initial claim characteristics to predict duration of at least 12 months. All data are for claims with disability lasting more than 1 week.

Trends in disability and program participation among U.S. veterans.

Background: Disability is increasingly part of the lives of veterans and more research is needed to understand its impact on veterans' participation in disability benefit programs.

Objective/hypothesis: We examine how recent trends in receipt of service-connected disability compensation from the Department of Veterans Affairs (VA) compare to trends in self-reported disability and participation in Social Security Disability Insurance (DI) and Supplemental Security Income (SSI) among veterans.

Methods: We use 2002-2013 data from the Current Population Survey to describe trends in receipt of VA disability compensation and to compare between trends in self-reported disability and DI/SSI participation for veterans versus nonveterans.

Predicting Disability among Community-Dwelling Medicare Beneficiaries Using Claims-Based Indicators.

Objectives: To assess the feasibility of using existing claims-based algorithms to identify community-dwelling Medicare beneficiaries with disability based solely on the conditions for which they are being treated, and improving on these algorithms by combining them in predictive models.

Data Source: Data on 12,415 community-dwelling fee-for-service Medicare beneficiaries who first responded to the Medicare Current Beneficiary Survey (MCBS) in 2003-2006.

Study Design: Logistic regression models in which six claims-based disability indicators are used to predict self-reported disability.

How do working-age people with disabilities spend their time? New evidence from the American Time Use Survey.

We use the American Time Use Survey to examine the extent to which adults with disabilities-defined using both the new six-question sequence on disability and the traditional work-limitation question-spend more time on health-related activities and less time on other activities than those without disabilities. We find that men and women who both reported a work limitation and responded "yes" to any of the questions in the six-question disability sequence spend approximately 40 to 50 more minutes per week, respectively, on health-related activities. We also find that most working-age men and women who report a disability work fewer hours per day than men and women without disabilities.