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.2023.1179320.].

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.2023.1179320.].

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. Out-of-pocket healthcare costs and lost income are primary drivers of financial toxicity, however, income loss is a pronounced risk factor for cancer patients with low incomes. There has been little progress in developing an income intervention to alleviate financial toxicity cancer patients with low incomes. Unconditional cash transfers (UCT), or guaranteed income, have produced positive health effects in experiments with general low-income populations, but have not yet been evaluated in people with cancer. The Guaranteed Income and Financial Treatment (GIFT) Trial will use a two-arm randomized controlled trial to compare the efficacy of a 12-month UCT intervention providing $1000/month to treatment as usual on financial toxicity, health-related quality of life and treatment adherence in people with cancer who have low-incomes. The study will recruit 250 Medicaid beneficiaries with advanced cancer from two comprehensive cancer centers in Philadelphia, obtain informed consent, and randomize patients to one of two conditions: (1) $1,000/month UCT or (2) treatment as usual. Both arms will receive information on financial toxicity and the contact information for their hospital social worker or financial advocate upon enrollment. Participants will complete online surveys at baseline, 3, 6, 9, and 12 months from enrollment to collect patient-reported data on primary (i.e., financial toxicity, health-related quality of life, and treatment adherence) and secondary outcomes (i.e., anxiety, depression, food insecurity, housing stability). Social security records will be used to explore the effect on mortality at 2, 3, and 5 years post-enrollment. Linear mixed-models will be used to analyze all primary and secondary continuous outcomes over time and general estimating equations with a logit link and binary distribution for all binary outcomes over time. Differences between treatment and control groups and treatment effects will be determined using models that control for age, gender, race, baseline food security, baseline housing stability, and baseline ECOG. Findings from this study will have significant implications for the development and implementation of programs and policies that address the financial burden of cancer and other serious illnesses.

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. We find that 74% of physicians report that they accept new TRICARE patients compared with 83% accepting new Medicare patients; in contrast, only 36% of mental health providers report that they accept new Medicare and/or TRICARE patients. Among the most common reasons provided by both physicians and mental health providers for not accepting either insurance type are insufficient reimbursement or their specialty not being covered; lack of awareness of TRICARE is also frequently cited, particularly among mental health providers. These findings suggest that successful strategies to increase provider acceptance of TRICARE and Medicare may include improving reimbursement rates and specialty coverage and increasing provider awareness of TRICARE through outreach programs.

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. TRICARE's civilian PPO plans are required to maintain provider networks wherever TRICARE's health maintenance organization option (known as Prime) is offered. For the years 2012-15, we describe beneficiary access and utilization and provider participation in TRICARE's PPO plans in Prime and non-Prime markets. We also compare individual market rankings for access and acceptance. In both market types, most providers reported participating in TRICARE's PPO network, and most PPO users reported using network providers. In areas where Prime is not offered, PPO users reported slightly better access, and providers were more likely to accept new PPO patients. Areas with low access and acceptance, or where multiple access measures indicate problems, may be fruitful for in-depth investigation.

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). We also explore whether waiting for some claims to resolve without intervention improves targeting efficiency. Methods We use a large database of STDI claims from private employer-sponsored disability insurance programs in the United States to predict which claims will exhaust STDI or transition to LTDI. We use a split sample approach, conducting logistic regressions on half of our data and generating predictions for the other half. We assess predictive accuracy using ROC curve analysis, repeating on successive subsamples, omitting claims that resolve within 2, 4, and 6 weeks. Results Age, primary diagnosis, and employer industry were associated with the two outcomes. Rapid attrition of short-duration claims from the sample means that waiting can substantially increase the efficiency of targeting efforts. Overall accuracy of classification increases from 63.2% at week 0 to 82.9% at week 6 for exhausting STDI benefits, and from 63.7 to 83.0% for LTDI transfer. Conclusions Waiting even a few weeks can substantially increase the accuracy of early intervention targeting by allowing claims that will resolve without further intervention to do so. Predictive modeling further narrows the target population based on claim characteristics, reducing intervention costs. Before adopting a waiting strategy, however, it is important to consider potential trade-offs involved in delaying the start of any intervention.

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. This would be accomplished by building and expanding on existing systems in order to efficiently identify, and provide timely support to, workers with medical conditions in a critical period during which the decisions and actions of various stakeholders, including the workers themselves, may have a major influence on these outcomes. Conclusions Forthcoming opportunities to develop, implement, and test evidence-based interventions to promote job retention can provide further insight into the value of the options described in the articles.

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. Methods We conducted semistructured interviews with a convenience sample of human resources professionals in 14 Arkansas-based employers, yielding detailed information on 50 cases in which an employee developed or disclosed a disability. We analyzed the interviews using a grounded theory approach and compared cases to identify key themes emerging across subgroups of cases. Results Two organization-level factors and four employee-level factors influenced employers' efforts to accommodate and retain employees with disabilities: employer resources; employers' communication with the employee and other stakeholders; employee tenure; employee work performance; active/sedentary nature of employee role; and the severity and type of employees' health conditions. Conclusions Consistent with prior literature, employers with greater access to resources and better ability to communicate generally made greater effort to accommodate and retain employees with disabilities. However, employers in the study did not deploy these resources and processes consistently when making decisions about whether and how to provide accommodations to workers with disabilities; employee-level characteristics affected their actions. Policy makers should consider intervention approaches that reach workers who may be overlooked by employers with scarce resources.

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. Results 22.2% of SDI claims last longer than 6 months and 12.5% last 12 months. More WC claims reach these durations: 33.7 and 18.6%, respectively. Long-term SDI and WC claimants are similar to SSDI awardees, nationwide, but differ in age distribution; they are typically younger. Conclusions Characteristics of SDI and WC claims can help predict claims likely to last 12 months, but more information is needed to effectively target early intervention services. Waiting longer to intervene improves targeting but risks missing opportunities where early intervention could be more effective. Collecting additional information at SDI or WC entry or soon thereafter could improve both the efficiency and timing of interventions.

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. RESULTS: The percentage of veterans reporting they receive VA disability compensation increased substantially from 2002 to 2013 and was especially notable among younger (ages 18-39) and older (ages 50-64) veterans. From 2009 to 2013, self-reported disability increased among the younger and older veterans but not among middle-age veterans and nonveterans, and self-reported cognitive disability increased substantially among young veterans. DI/SSI participation among older veterans increased more than for nonveterans over the period examined. CONCLUSIONS: Effective policies are needed to incentivize work among young veterans and to help them obtain both the skills they need to succeed in the labor force and the supports (such as psychiatric health services) they need to do so. Older veterans are facing increasing challenges in the labor market, and further research is needed to determine whether these challenges are primarily related to health, a growing skills gap, or poorly-aligned incentives.

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. Receiver operating characteristic (ROC) curves were used to assess the performance of the predictive models. PRINCIPAL FINDINGS: The predictive performance of the regression-based models is better than that of the individual claims-based indicators. At a predicted probability threshold chosen to maximize the sum of sensitivity and specificity, sensitivity is 0.72 for beneficiaries age 65 or older and specificity is 0.65. For those under 65, sensitivity is 0.54 and specificity is 0.67. The findings also suggest ways to improve predictive performance for specific disability populations of interest to researchers. CONCLUSIONS: Predictive models that incorporate multiple claims-based indicators provide an improved tool for researchers seeking to identify people with disabilities in claims data.

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. The largest difference is for men and women who report both types of disability; these individuals spend, on average, 5 fewer hours per day in paid work than men and women without disabilities. On average, most of the decrease in paid work time is offset by more time spent on leisure activities (defined as activities that provide direct utility, such as entertainment, social activities, attending recreational events, and general relaxation) and sleeping, which is likely due to these being default activities for individuals whose medical issues and environment constrain them from participating in other activities.