Delayed Healthcare Due to Cost Among Adults with Multimorbidity in the United States

BACKGROUND/OBJECTIVES

Multimorbidity, defined as two or more chronic diseases co-occurring in an individual, has been linked to elevated healthcare utilization and out-of-pocket expenses. Yet, the barriers to healthcare access due to the health profile of multimorbid adults are underexplored. This study investigates the differences in delayed healthcare due to cost among adults with multimorbidity and those with one chronic disease condition.

METHODS

Data from the National Health Interview Survey from the years 2016-2018 and 2020-2021 were examined. The sample included 13,439 adults with at least one of the chronic disease conditions outlined by the US Department of Health and Human Services. Logistic regression models were used to estimate odd ratios of delayed healthcare due to cost among participants.

RESULTS

Multimorbid adults were 1.29 times more likely to delay healthcare compared to adults living with one chronic disease (p < 0.01). Other influencing factors include being female, Asian, unmarried, uninsured, age, worsening self-rated health, region, and poverty threshold of 100-199%.

CONCLUSIONS

Our findings highlight the disparities in healthcare success experienced by adults living with multimorbidity and indicate the need for policymakers to implement targeted measures such as subsidized costs for comorbidities to alleviate the financial burdens experienced by this population.

Deductible imputation in administrative medical claims datasets

OBJECTIVE

To validate imputation methods used to infer plan-level deductibles and determine which enrollees are in high-deductible health plans (HDHPs) in administrative claims datasets.

DATA SOURCES AND STUDY SETTING

2017 medical and pharmaceutical claims from OptumLabs Data Warehouse for US individuals <65 continuously enrolled in an employer-sponsored plan. Data include enrollee and plan characteristics, deductible spending, plan spending, and actual plan-level deductibles.

STUDY DESIGN

We impute plan deductibles using four methods: (1) parametric prediction using individual-level spending; (2) parametric prediction with imputation and plan characteristics; (3) highest plan-specific mode of individual annual deductible spending; and (4) deductible spending at the 80th percentile among individuals meeting their deductible. We compare deductibles' levels and categories for imputed versus actual deductibles.

DATA COLLECTION/EXTRACTION METHODS

Not applicable.

PRINCIPAL FINDINGS

All methods had a positive predictive value (PPV) for determining high- versus low-deductible plans of ≥87%; negative predictive values (NPV) were lower. The method imputing plan-specific deductible spending modes was most accurate and least computationally intensive (PPV: 95%; NPV: 91%). This method also best correlated with actual deductible levels; 69% of imputed deductibles were within $250 of the true deductible.

CONCLUSIONS

In the absence of plan structure data, imputing plan-specific modes of individual annual deductible spending best correlates with true deductibles and best predicts enrollees in HDHPs.

Association of Medicare eligibility with access to and affordability of care among older cancer survivors

PURPOSE

Older cancer survivors have substantial needs for ongoing care, but they may encounter difficulties accessing care due to cost concerns. We examined whether near-universal insurance coverage through Medicare-a key source of health insurance coverage in this population-is associated with improvements in care access and affordability among older cancer survivors around age 65.

METHODS

In a nationally representative sample of cancer survivors (aged 50-80) from 2006-2018 National Health Interview Survey, we employed a quasi-experimental, regression discontinuity design to estimate changes in insurance coverage, delayed/skipped care due to cost, and worries about or problems paying medical bills at age 65.

RESULTS

Medicare coverage sharply increased from 8.3% at age 64 to 98.2% at age 65, ensuring near-universal insurance coverage (99.5%). Medicare eligibility at age 65 was associated with reductions in delayed/skipped care due to cost (discontinuity, - 5.7 percentage points or pp; 95% CI, - 8.1, - 3.3; P < .001), worries about paying for medical bills (- 7.7 pp; 95% CI, - 12.0, - 3.2; P = .001), and problems paying medical bills (- 3.2 pp; 95% CI, - 6.1, - 0.2; P = .036). However, a sizable proportion reported any access or affordability problems (29.7%) between ages 66 and 80.

CONCLUSIONS

Near-universal Medicare coverage at age 65 was associated with a reduction-but not elimination-of access and affordability problems among cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

These findings reaffirm the role of Medicare in improving access and affordability for older cancer survivor and highlight opportunities for reforms to further alleviate financial burden of care in this population.

The Effects of High Deductible Health Plans on Breast Cancer Treatment and Reconstruction

BACKGROUND

High-deductible health plans (HDHP) have expanded rapidly creating the potential for substantially increased out-of-pocket (OOP) costs. The associated financial strain has been associated with the decision to forego care, but the impact on patients undergoing breast cancer reconstruction is not known. We examined the impact of HDHPs vs. LDHPs and OOP maximums on breast reconstruction.

METHODS

Between January 2014 and 2020, patients who had breast reconstruction by the 2 senior authors were retrospectively evaluated. Information on patient's insurance contract was collected. Criteria for HDHP and LDHP were defined following section 223(c)(2)(A) of the Internal Revenue Code. All aspects of cancer diagnosis, cancer treatment, and surgical procedures were reviewed.

RESULTS

About 507 patients (262 in LDHPs and 245 in HDHPs) were reviewed. Patients treated with neoadjuvant chemotherapy were more likely to be enrolled in HDHPs (25.7% vs. 36.8%, P < .01). There was no significant difference in total operations, number of revisions, or length of reconstruction in days or calendar years. Additionally, no difference existed in the choice of autologous implant reconstruction.

CONCLUSION

The cost-sharing burden of HDHPs creates the potential for patients to forego care, and thus, effort should be directed toward increasing patient education concerning health plan benefits. Utilization of postdeductible spending, as well as resources of health savings accounts, may limit the adverse effects of HDHPs. This study also emphasizes the importance for providers to increase cost transparency.

Do High-Deductible Health Plans Incentivize Changing the Timing of Substance Use Disorder Treatment?

A high-deductible health plan (HDHP) may incentivize enrollees to limit health care use at the beginning of a plan year, when they are responsible for 100% of costs, or to increase the use of care at the end of the year, when enrollees may have less cost exposure. We investigated both the impact of the deductible reset that occurs at the beginning of a plan year and the option to enroll in an HDHP on the use of substance use disorder (SUD) treatment services over the course of a health plan year. We found decreases in SUD treatment use following the increase in cost exposure related to a deductible reset. There was no variation in this behavior between HDHP offer enrollees and comparison enrollees who were not offered an HDHP. These findings reinforce that cost-sharing poses a barrier to SUD care and continuity of care, which can increase the risk of adverse clinical outcomes.

High Deductible Health Plans and Use of Free Preventive Services Under the Affordable Care Act

The Affordable Care Act aimed to increase use of preventive services by eliminating cost-sharing to consumers. However, patients may be unaware of this benefit or they may not seek preventive services if they anticipate that the cost of potential diagnostic or treatment services will be too high, both more likely among those in high deductible health plans. We used nationally representative private health insurance claims (100% sample of IBM^® MarketScan^®) for the United States from 2006 to 2018, restricting the data to enrollment and claims for non-elderly adults who were enrolled for the full plan year. The cross-sectional sample (185 million person-years) is used to describe trends in preventive service use and costs from 2008 through 2016. The cohort sample (9 million people) focuses on the elimination of cost-sharing for certain high-value preventive services in late 2010, requiring continuous enrollment across 2010 and 2011. We examine whether HDHP enrollment is associated with use of eligible preventive services using semi-parametric difference-in-differences to account for endogenous plan selection. Our preferred model implies that HDHP enrollment was associated with a reduction of the post-ACA change in any use of eligible preventive services by 0.2 percentage points or 12.5%. Cancer screenings were unaffected but HDHP enrollment was associated with smaller increases in wellness visits, immunizations, and screening for chronic conditions and sexually transmitted infections. We also find that the policy was ineffective at reducing out-of-pocket costs for the eligible preventive services, likely due to implementation issues.

High deductible health plans and spending among families with a substance use disorder

BACKGROUND

The United States faces an ongoing drug crisis, worsened by the undertreatment of substance use disorders (SUDs). Family enrollment in high deductible health plans (HDHPs) and the resulting increased cost exposure could exacerbate the undertreatment of SUD. This study characterized the distribution of health care spending within families where a member has a SUD and estimated the association between HDHPs and family health care spending.

METHODS

Using commercial claims and enrollment data from OptumLabs (2007-2017), we identified a treatment group of enrollees whose employers began offering an HDHP and comparison group whose employers never offered an HDHP. We used a difference-in-differences analysis that compared health care spending in families at firms that did vs. did not offer an HDHP before and after the HDHP offer. All models were adjusted for employer and year fixed effects, as well as family demographics, size, and chronic conditions.

RESULTS

Our sample was comprised of 317,353 family-years. Family members with a SUD, on average, contributed an outsized proportion of total family health care expenditures (56.9% in a family of three). Offering a family HDHP was associated with a 6.1% reduction (95% confidence interval [CI]: 9.7-2.6%) in the probability of families having any SUD-related expenditures. The HDHP offer was associated with a $1546 reduction in family total expenditures and a $1185 reduction for the individual with SUD (95% CI: -2272 to -821 and -1845 to -525, respectively).

CONCLUSIONS

The increased prevalence of family enrollment in HDHPs may further the existing issue of undertreatment of SUDs.

High-Deductible Health Plans for US Children: Trends, Health Service Use, and Financial Barriers to Care

OBJECTIVE

Few studies have examined children's enrollment in high-deductible health plans (HDHPs) and associations with health service use. We examine trends, health service use, and financial barriers to care for US children with high-deductible private insurance.

METHODS

Trend data on HDHP enrollment were available for 58,910 children ages 0 to 17 with private insurance from the 2007 to 2018 National Health Interview Survey. Health service indicators were examined in a cross-sectional sample of 23,959 children in the 2014-2018 datasets. High deductible was defined as a minimum of $2,700 for a family in 2018. Chi-square tests examined associations of HDHPs with health service indicators. Logistic regression models adjusted for sociodemographics and child health.

RESULTS

The percent of privately insured children with HDHPs increased from 18.4% to 48.6% from 2007 to 2018. In adjusted regression, those with HDHPs fared worse than those with traditional plans on 7 of 10 measures and those with HDHPs and no health savings account (HSA) fared worse on eight. While small differences were found for various child-focused measures, the most consistent differences were found for family-focused measures. Parents with HDHPs were more likely than parents with traditional private insurance to report they had delayed or forgone their medical care (10.2% vs 5.7%), had problems paying medical bills (15.7% vs 10.3%), and had family medical debt (34.1% vs 25.8%).

CONCLUSIONS

Privately insured families have seen substantial growth in high-deductible plans in the last decade. Families with HDHPs, especially those without HSAs, have more financial barriers to care.

Financial Toxicity in Atherosclerotic Cardiovascular Disease in the United States: Current State and Future Directions

Atherosclerotic cardiovascular disease (ASCVD) has posed an increasing burden on Americans and the United States healthcare system for decades. In addition, ASCVD has had a substantial economic impact, with national expenditures for ASCVD projected to increase by over 2.5‐fold from 2015 to 2035. This rapid increase in costs associated with health care for ASCVD has consequences for payers, healthcare providers, and patients. The issues to patients are particularly relevant in recent years, with a growing trend of shifting costs of treatment expenses to patients in various forms, such as high deductibles, copays, and coinsurance. Therefore, the issue of “financial toxicity” of health care is gaining significant attention. The term encapsulates the deleterious impact of healthcare expenditures for patients. This includes the economic burden posed by healthcare costs, but also the unintended consequences it creates in form of barriers to necessary medical care, quality of life as well tradeoffs related to non‐health–related necessities. While the societal impact of rising costs related to ASCVD management have been actively studied and debated in policy circles, there is lack of a comprehensive assessment of the current literature on the financial impact of cost sharing for ASCVD patients and their families. In this review we systematically describe the scope and domains of financial toxicity, the instruments that measure various facets of healthcare‐related financial toxicity, and accentuating factors and consequences on patient health and well‐being. We further identify avenues and potential solutions for clinicians to apply in medical practice to mitigate the burden and consequences of out‐of‐pocket costs for ASCVD patients and their families.

Mortality-to-incidence ratios by US Congressional District: Implications for epidemiologic, dissemination and implementation research, and public health policy

The mortality-to-incidence ratio (MIR) can be computed from readily accessible, public-use data on cancer incidence and mortality, and a high MIR value is an indicator of poor survival relative to incidence. Newly available data on congressional district-specific cancer incidence and mortality from the U.S. Cancer Statistics (USCS) database from 2011 to 2015 were used to compute MIR values for overall (all types combined), breast, cervix, colorectal, esophagus, lung, oral, pancreas, and prostate cancer. Congressional districts in the South and Midwest, including MS, AL, and KY, had higher (worse) MIR values for all cancer types combined than for the U.S. as a whole. For all cancers combined, there was a positive correlation between each district's percent of rural residents and the MIR (r = 0.47; p < .001). The MIR for all cancer types combined was lower in districts within states that expanded Medicaid vs. those states that did not expand Medicaid (0.36 vs. 0.38; p < .001). A positive correlation was seen between the proportion of non-Hispanic Black residents and MIR (r = 0.15; p < .01 for all cancers). Lower MIRs were observed in districts in New England and in states that expanded Medicaid. However, there also were some interesting departures from this rule (e.g., Wyoming, South Dakota, parts of Wisconsin and Florida). Rural congressional districts have generally higher MIRs than more urban districts. There is some concern that poorer, more rural states that did not expand Medicaid may experience greater disparities in MIRs relative to Medicaid expansion states in the future.