Socioeconomic Differences in Use of Low-Value Cancer Screenings and Distributional Effects in Medicare.
Ontology highlight
ABSTRACT: Objective
Consuming low-value health care not only highlights inefficient resource use but also brings an important concern regarding the economics of disparities. We identify the relation of socioeconomic characteristics to the use of low-value cancer screenings in Medicare fee-for-service (FFS) settings, and quantify the amount subsidized from nonusers and taxpayers to users of these screenings.Data sources
2007-2013 Medicare Current Beneficiary Survey, Medicare FFS claims, and the Area Health Resource Files.Study design
Our sample included enrollees in FFS Part B for the entire calendar year. We excluded beneficiaries with a claims-documented or self-reported history of targeted cancers, or those enrolled in Medicaid or Medicare Advantage plans. We identified use of low-value Pap smears, mammograms, and prostate-specific antigen tests based on established algorithms, and estimated a logistic model with year dummies separately for each test.Data collection/extraction methods
Secondary data analyses.Principal findings
We found a statistically significant positive association between privileged socioeconomic characteristics and use of low-value screenings. Having higher income and supplemental private insurance strongly predicted more net subsidies from Medicare.Conclusions
FFS enrollees who are better off in terms of sociodemographic characteristics receive greater subsidies from taxpayers for using low-value cancer screenings.
SUBMITTER: Xu WY
PROVIDER: S-EPMC5583315 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
Publications
Socioeconomic Differences in Use of Low-Value Cancer Screenings and Distributional Effects in Medicare.
Xu Wendy Yi WY Jung Jeah Kyoungrae JK
Health services research 20160913 5
<h4>Objective</h4>Consuming low-value health care not only highlights inefficient resource use but also brings an important concern regarding the economics of disparities. We identify the relation of socioeconomic characteristics to the use of low-value cancer screenings in Medicare fee-for-service (FFS) settings, and quantify the amount subsidized from nonusers and taxpayers to users of these screenings.<h4>Data sources</h4>2007-2013 Medicare Current Beneficiary Survey, Medicare FFS claims, and ...[more]
Similar Datasets
Project description:Public health decision makers value interventions for their effects on overall health and health inequality. Distributional cost-effectiveness analysis (DCEA) incorporates health inequality concerns into economic evaluation by accounting for how parameters, such as effectiveness, differ across population groups. A good understanding of how and when accounting for socioeconomic differences between groups affects the assessment of intervention impacts on overall health and health inequality could inform decision makers where DCEA would add most value. We interrogated 2 DCEA models of smoking and alcohol policies using first national level and then local authority level information on various socioeconomic differences in health and intervention use. Through a series of scenario analyses, we explored the impact of altering these differences on the DCEA results. When all available evidence on socioeconomic differences was incorporated, provision of a smoking cessation service was estimated to increase overall health and increase health inequality, while the screening and brief intervention for alcohol misuse was estimated to increase overall health and reduce inequality. Ignoring all or some socioeconomic differences resulted in minimal change to the estimated impact on overall health in both models; however, there were larger effects on the estimated impact on health inequality. Across the models, there were no clear patterns in how the extent and direction of socioeconomic differences in the inputs translated into the estimated impact on health inequality. Modifying use or coverage of either intervention so that each population group matched the highest level improved the impacts to a greater degree than modifying intervention effectiveness. When local level socioeconomic differences were considered, the magnitude of the impacts was altered; in some cases, the direction of impact on inequality was also altered.
| S-EPMC7488816 | biostudies-literature
Project description:ImportanceMost clinical practice guidelines recommend stopping cancer screenings when risks exceed benefits, yet low-value screenings persist. The Veterans Health Administration focuses on improving the value and quality of care, using a patient-centered medical home model that may affect cancer screening behavior.ObjectiveTo understand rates and factors associated with outpatient low-value cancer screenings.Design, setting, and participantsThis cohort study assessed the receipt of low-value cancer screening and associated factors among 5 993 010 veterans. Four measures of low-value cancer screening defined by validated recommendations of practices to avoid were constructed using administrative data. Patients with cancer screenings in 2017 at Veterans Health Administration primary care clinics were included. Excluded patients had recent symptoms or historic high-risk diagnoses that may affect test appropriateness (eg, melena preceding colonoscopy). Data were analyzed from December 23, 2019, to June 21, 2021.ExposuresReceipt of cancer screening test.Main outcomes and measuresLow-value screenings were defined as occurring for average-risk patients outside of guideline-recommended ages or if the 1-year mortality risk estimated using a previously validated score was at least 50%. Factors evaluated in multivariable regression models included patient, clinician, and clinic characteristics and patient-centered medical home domain performance for team-based care, access, and continuity previously developed from administrative and survey data.ResultsOf 5 993 010 veterans (mean [SD] age, 63.1 [16.8] years; 5 496 976 men [91.7%]; 1 027 836 non-Hispanic Black [17.2%] and 4 539 341 non-Hispanic White [75.7%] race and ethnicity) enrolled in primary care, 903 612 of 4 647 479 men of average risk (19.4%) underwent prostate cancer screening; 299 765 of 5 770 622 patients of average risk (5.2%) underwent colorectal cancer screening; 21 930 of 469 045 women of average risk (4.7%) underwent breast cancer screening; and 65 511 of 458 086 women of average risk (14.3%) underwent cervical cancer screening. Of patients screened, low-value testing was rare for 3 cancers, with receipt of a low-value test in 633 of 21 930 of women screened for breast cancer (2.9%), 630 of 65 511 of women screened for cervical cancer (1.0%), and 6790 of 299 765 of patients screened for colorectal cancer (2.3%). However, 350 705 of 4 647 479 of screened men (7.5%) received a low-value prostate cancer test. Patient race and ethnicity, sociodemographic factors, and illness burden were significantly associated with likelihood of receipt of low-value tests among screened patients. No single patient-, clinician-, or clinic-level factor explained the receipt of a low-value test across cancer screening cohorts.Conclusions and relevanceThis large cohort study found that low-value breast, cervical, and colorectal cancer screenings were rare in the Veterans Health Administration, but more than one-third of patients screened for prostate cancer were tested outside of clinical practice guidelines. Guideline-discordant care has quality implications and is not consistently explained by associated multilevel factors.
| S-EPMC8536952 | biostudies-literature
Project description:ObjectiveTo examine the effects of Medicare eligibility and enrollment on the use of high-value and low-value care services.Data sources/study settingThe 2002-2019 Medical Expenditure Panel Survey.Study designWe employed a regression discontinuity design, which exploits the discontinuity in eligibility for Medicare at age 65 and compares individuals just before and after age 65. Our primary outcomes included the use of high-value care services (eight services) and low-value care services (seven services). To examine the effects of Medicare eligibility, we conducted a regression discontinuity analysis. To examine the effects of Medicare enrollment, we used the discontinuity in the probability of having Medicare coverage around the age eligibility cutoff and conducted an instrumental variable analysis.Data collection/extraction methodsN/A.Principal findingsMedicare eligibility and enrollment led to statistically significant increases in the use of only two high-value services: cholesterol measurement [2.1 percentage points (95%: 0.4-3.7) (2.2% relative change) and 2.4 percentage points (95%: 0.4-4.4)] and receipt of the influenza vaccine [3.0 percentage points (95%: 0.3-5.6) (6.0% relative change) and 3.6 percentage points (95%: 0.4-6.8)]. Medicare eligibility and enrollment led to statistically significant increases in the use of two low-value services: antibiotics for acute upper respiratory infections [6.9 percentage points (95% CI: 0.8-13.0) (24.0% relative change) and 8.2 percentage points (95% CI: 0.8-15.5)] and radiographs for back pain [4.6 percentage points (95% CI: 0.1-9.2) (36.8% relative change) and 6.2 percentage points (95% CI: 0.1-12.3)]. However, there was no significant change in the use of other high-value and low-value care services.ConclusionMedicare eligibility and enrollment at age 65 years led to increases in the use of some high-value and low-value care services, but there were no changes in the use of the majority of other services. Policymakers should consider refining the Medicare program to enhance the value of care delivered.
| S-EPMC9836961 | biostudies-literature
Project description:ObjectiveTo evaluate the effect of Accountable Care Organizations (ACOs) on the use of vertebroplasty and arthroscopic partial meniscectomy, 2 procedures for which randomized controlled trials suggest similar outcomes to sham surgery and therefore may provide low value. Medicare Shared Savings Program ACOs aim to improve quality and decrease health care spending. Reducing the use of potentially low-value procedures can accomplish both of these goals.MethodsWe performed a retrospective cohort study of patients who underwent potentially low-value orthopedic procedures (vertebroplasty and partial meniscectomy) and a control (hip fracture) from 2010 to 2015 using a 20% sample of national Medicare claims. We performed an interrupted time-series analysis using linear spline models to evaluate the count of each procedure per 1000 patients, stratified by ACO participation.ResultsWe identified 76 256 patients who underwent arthroscopic partial meniscectomy, 44 539 patients who underwent vertebroplasty, and 50 760 patients who underwent hip fracture admission. Arthroscopic partial meniscectomy rates decreased, vertebroplasty rates remained stable, and hip fracture rates increased for both groups during the study period, with similar trends among ACO and non-ACO patients. After January 1, 2013, ACO and non-ACO populations had similar trends for vertebroplasty (ACO incidence rate ratio [IRR] = 1.15 [1.08-1.23] vs non-ACO IRR = 1.11 [1.05-1.16]), meniscectomy (ACO IRR = 1.06 [1.01-1.12] vs non-ACO IRR = 1.03 [0.99-1.07]), and hip fracture (ACO IRR = 1.08 [1.01-1.14] vs non-ACO IRR = 1.08 [1.03-1.13]).ConclusionsACOs were not associated with a reduction in the frequency of vertebroplasty and arthroscopic partial meniscectomy.
| S-EPMC6503656 | biostudies-literature
Project description:ImportanceDecreasing use of low-value care is a major goal for Medicare given the potential to decrease costs and harms. Compared with traditional fee-for-service Medicare (TM), Medicare Advantage (MA) is more strongly financially incentivized to decrease use of low-value care.ObjectivesTo compare use of low-value care among individuals enrolled in TM and those enrolled in MA overall and to examine trends in use of low-value care in both programs from 2006 to 2015.Design, setting, and participantsThis cross-sectional study analyzed individuals enrolled in TM and MA using data from the 2006 to 2015 Medical Expenditure Panel Survey. To account for differences in characteristics between individuals enrolled in TM and those enrolled in MA, a propensity score-based approach was used. Data were analyzed from August 2020 through January 2021.ExposuresBeing enrolled in MA or TM.Main outcomes and measuresBinary measures of use were collected for 13 low-value services in 4 categories (ie, [1] cancer screening: cervical, colorectal, and prostate cancer screening in older adults; [2] antibiotic use: antibiotic for acute upper respiratory infection and antibiotic for influenza; [3] medication: anxiolytic, sedative, or hypnotic in an adult older than 65 years; benzodiazepine for depression; opioid for headache; opioid for back pain; and nonsteroidal anti-inflammatory drug [NSAID] for hypertension, heart failure, or chronic kidney disease; and [4] imaging: magnetic resonance imaging [MRI] or computed tomography [CT] for back pain, radiograph for back pain, and MRI or CT for headache) and 4 low-value composites corresponding to the categories (ie, cancer screening composite, antibiotic use composite, medication composite, and imaging composite).ResultsAmong 11 677 individuals enrolled in TM and 5164 individuals enrolled in MA, 9429 (56.0%) were women and the mean (SD) age was 74.5 (6.3) years. Of 13 low-value services and 4 low-value composites, statistically significant differences were found in 2 measures. For the low-value medication composite, 2054 of 11 636 eligible individuals enrolled in TM (adjusted mean, 17.6%; 95% CI, 16.8%-18.3%) received the care, and 981 of 5141 eligible individuals enrolled in MA (adjusted mean, 19.7%; 95% CI, 18.3%-21.2%) received the care, for a rate of use that was significantly higher among individuals enrolled in MA, by 2.2 percentage points (95% CI, 0.5-3.8 percentage points; P = .02). For the NSAID use for hypertension, heart failure, or kidney disease metric, 807 of 7832 individuals enrolled in TM (adjusted mean, 10.0%; 95% CI, 9.2%-10.8%) received the care, and 447 of 3566 individuals enrolled in MA (adjusted mean, 12.9%; 95% CI, 19.7%-27.1%) received the care, for a rate of use that was significantly higher among individuals enrolled in MA, by 2.9 percentage points (95% CI, 1.3-4.6 percentage points; P = .001). Overall, there were no decreases in use of low-value care in TM or MA over time.Conclusions and relevanceThis cross-sectional study found that use of low-value care was similarly prevalent in MA and TM, suggesting that MA enrollment was not associated with decreased provision of low-value care compared with TM.
| S-EPMC7970337 | biostudies-literature
Project description:Despite the importance of identifying and reducing wasteful health care use, few direct measures of overuse have been developed. Direct measures are appealing because they identify specific services to limit and can characterize low-value care even among the most efficient providers.To develop claims-based measures of low-value services, examine service use (and associated spending) detected by these measures in Medicare, and determine whether patterns of use are related across different types of low-value services.Drawing from evidence-based lists of services that provide minimal clinical benefit, we developed 26 claims-based measures of low-value services. Using 2009 claims for 1,360,908 Medicare beneficiaries, we assessed the proportion of beneficiaries receiving these services, mean per-beneficiary service use, and the proportion of total spending devoted to these services. We compared the amount of use and spending detected by versions of these measures with different sensitivity and specificity. We also estimated correlations between use of different services within geographic areas, adjusting for beneficiaries' sociodemographic and clinical characteristics.Use and spending detected by 26 measures of low-value services in 6 categories: low-value cancer screening, low-value diagnostic and preventive testing, low-value preoperative testing, low-value imaging, low-value cardiovascular testing and procedures, and other low-value surgical procedures.Services detected by more sensitive versions of measures affected 42% of beneficiaries and constituted 2.7% of overall annual spending. Services detected by more specific versions of measures affected 25% of beneficiaries and constituted 0.6% of overall spending. In adjusted analyses, low-value spending detected in geographic regions at the 5th percentile of the regional distribution of low-value spending ($227 per beneficiary) exceeded the difference in detected low-value spending between regions at the 5th and 95th percentiles ($189 per beneficiary). Adjusted regional use was positively correlated among 5 of 6 categories of low-value services (mean r for pairwise, between-category correlations, 0.33; range, 0.14-0.54; P???.01).Services detected by a limited number of measures of low-value care constituted modest proportions of overall spending but affected substantial proportions of beneficiaries and may be reflective of overuse more broadly. Performance of claims-based measures in supporting targeted payment or coverage policies to reduce overuse may depend heavily on how the measures are defined.
| S-EPMC4241845 | biostudies-literature
Project description:ImportanceLow-value care in the Medicare program is prevalent, costly, potentially harmful, and persistent. Although Medicare Advantage (MA) plans can use managed care strategies not available in traditional Medicare (TM), it is not clear whether this flexibility is associated with lower rates of low-value care.ObjectivesTo compare rates of low-value services between MA and TM beneficiaries and explore how elements of insurance design present in MA are associated with the delivery of low-value care.Design, setting, and participantsThis cross-sectional study analyzed beneficiaries enrolled in MA and TM using claims data from a large, national MA insurer and a random 5% sample of TM beneficiaries. The study period was January 1, 2017, through December 31, 2019. All analyses were conducted from July 2021 to March 2022.ExposuresEnrollment in MA vs TM.Main outcomes and measuresLow-value care was assessed using 26 claims-based measures. Regression models were used to estimate the association between MA enrollment and rates of low-value services while controlling for beneficiary characteristics. Stratified analyses explored whether network design, product design, value-based payment, or utilization management moderated differences in low-value care between MA and TM beneficiaries and among MA beneficiaries.ResultsAmong a study population of 2 470 199 Medicare beneficiaries (mean [SD] age, 75.6 [7.0] years; 1 346 777 [54.5%] female; 229 107 [9.3%] Black and 2 126 353 [86.1%] White individuals), 1 527 763 (61.8%) were enrolled in MA and 942 436 (38.2%) were enrolled in TM. Beneficiaries enrolled in MA received 9.2% (95% CI, 8.5%-9.8%) fewer low-value services in 2019 than TM beneficiaries (23.1 vs 25.4 total low-value services per 100 beneficiaries). Although MA beneficiaries enrolled in health management organization and preferred provider organization products received fewer low-value services than TM beneficiaries, the difference was largest for those enrolled in health management organization products (2.6 fewer [95% CI, 2.4-2.8] vs 2.1 fewer [95% CI, 1.9-2.3] services per 100 beneficiaries, respectively). Across primary care payment arrangements, MA beneficiaries received fewer low-value services than TM beneficiaries, with the largest difference observed for MA beneficiaries whose primary care physicians were reimbursed within 2-sided risk arrangements.Conclusions and relevanceIn this cross-sectional study of Medicare beneficiaries, those enrolled in MA had lower rates of low-value care than those enrolled in TM; elements of insurance design present in the MA program and absent in TM were associated with reduction in low-value care.
| S-EPMC9463603 | biostudies-literature
Project description:BackgroundAlthough cancer mortality has been decreasing since 1991, many cancers are still not detected until later stages with poorer outcomes. Screening for early-stage cancer can save lives because treatments are generally more effective at earlier than later stages of disease. Evidence of the aggregate benefits of guideline-recommended single-site cancer screenings has been limited. This article assesses the benefits in terms of life-years gained and associated value from major cancer screening technologies in the United States.MethodsA mathematical model was built to estimate the aggregate benefits of screenings for breast, colorectal, cervical, and lung cancer over time since the start of US Preventive Services Task Force (USPSTF) recommendations. For each type, the full potential benefits under perfect adherence and the benefits considering reported adherence rates were estimated. The effectiveness of each screening technology was abstracted from published literature on the life-years gained per screened individual. The number of individuals eligible for screening per year was estimated using US Census data matched to the USPSTF recommendations, which changed over time. Adherence rates to screening protocols were based on the National Health Interview Survey results with extrapolation.ResultsSince initial USPSTF recommendations, up to 417 million people were eligible for cancer screening. Assuming perfect adherence to screening recommendations, the life-years gained from screenings are estimated to be 15.5-21.3 million (2.2-4.9, 1.4-3.6, 11.4-12.3, and 0.5 million for breast, colorectal, cervical, and lung cancer, respectively). At reported adherence rates, combined screening has saved 12.2-16.2 million life-years since the introduction of USPSTF recommendations, ~ 75% of potential with perfect adherence. These benefits translate into a value of $8.2-$11.3 trillion at full potential and $6.5-$8.6 trillion considering current adherence. Therefore, single-site screening could have saved an additional 3.2-5.1 million life-years, equating to $1.7-$2.7 trillion, with perfect adherence.ConclusionsAlthough gaps persist between the full potential benefit and benefits considering adherence, existing cancer screening technologies have offered significant value to the US population. Technologies and policy interventions that can improve adherence and/or expand the number of cancer types tested will provide significantly more value and save significantly more patient lives.
| S-EPMC10405449 | biostudies-literature
Project description:BackgroundBecause specialty care accounts for half of Medicare expenditures, improving its value is critical to the success of Medicare accountable care organizations (ACOs) in curbing spending growth. However, whether ACOs have reduced low-value specialty care without compromising use of high-value services remains unknown.Methods and resultsUsing national Medicare data, we identified 2 cohorts: beneficiaries for whom the value of coronary revascularization is lower (those with ischemic heart disease without angina, congestive heart failure, or recent admission for acute myocardial infarction) and beneficiaries for whom its value is higher (those with recent acute myocardial infarction admission). We then determined the provider groups who cared for the cohorts, distinguishing between those participating (n=298) and those not participating in a Medicare ACO (1329). After measuring the provider groups' use of coronary artery bypass grafting and percutaneous coronary intervention among the 2 cohorts, we fit multivariable models to test the statistical significance of rates of change in low- and high-value revascularization after ACO participation. During the pre-ACO period, participating and nonparticipating provider groups had similar rates of low- and high-value revascularization. Our multivariable model results show that rates of change for low- and high-value coronary revascularization were not altered by a provider group's participation in a Medicare ACO (lower value: difference, -0.04 per year; 95% confidence interval, -0.11 to 0.03; higher value: difference, 0.96 per year; 95% confidence interval, -0.46 to 2.4).ConclusionsWe found no association between provider group participation in a Medicare ACO and use of low- or high-value coronary revascularization.
| S-EPMC6005663 | biostudies-literature
Project description:PurposeEvaluate differences in eye care utilization among patients with glaucoma by race and socioeconomic status (SES).DesignRetrospective cohort study.ParticipantsRepresentative 5% sample of Medicare beneficiaries aged > 65 years with continuous part A/B enrollment between January 1, 2014, and July 1, 2014, at least 1 diagnosis code for glaucoma within that period, and a glaucoma diagnosis in the Chronic Conditions Warehouse before January 1, 2014.MethodsThe following race/ethnicity categories were defined in our cohort: non-Hispanic White, Black/African American, Hispanic, and Asian/Pacific Islander. Low SES was defined as having 2 or more enrollment-based low-income indicators (dual eligibility for Medicare/Medicaid, Part D limited income subsidies, and eligibility for Part A and B State buy-in). Negative binomial regression analyses were carried out to compare relative rate ratios (RRs) of eye care utilization among racial groups stratified by low and non-low SES.Main outcome measuresMeasured from July 1, 2014, to December 31, 2016: eye examinations and eye care-related office visits; eye care-related inpatient and emergency department (ED) encounters; eye care-related nursing home and home-visit encounters; visual field and retinal nerve fiber OCT tests; glaucoma lasers and surgeries.ResultsAmong 78 526 participants with glaucoma, mean age was 79.1 years (standard deviation, 7.9 years), 60.9% were female, 78.4% were non-Hispanic White, and 13.8% met enrollment-based criteria for low-SES. Compared with White beneficiaries, Blacks had lower counts of outpatient visits (RR, 0.92; 95% confidence interval [CI], 0.90-0.93), visual field (VF) tests (RR, 0.92; 95% CI, 0.90-0.94), but more inpatient/ED encounters (RR, 2.42; 95% CI, 1.55-3.78) and surgeries (RR, 1.14; 95% CI, 1.03-1.27). Hispanics had fewer outpatient visits (RR, 0.97; 95% CI, 0.95-0.98) and retinal nerve fiber layer (RNFL) OCT tests (RR, 0.89; 95% CI, 0.86-0.93), but more inpatient/ED encounters (RR, 2.32; 95% CI, 1.18-4.57) and selective laser trabeculoplasty (SLT) (RR, 1.25; 95% CI, 1.11-1.42) versus non-Hispanic Whites. In the non-low SES group, Black versus White disparities persisted in outpatient visits (RR, 0.93; 95% CI, 0.92-0.95), VF (RR, 0.96; 95% CI, 0.94-0.98), RNFL OCT (RR, 0.81; 95% CI, 0.78-0.83), and inpatient/ED encounters (RR, 2.57; 95% CI, 1.55-4.26).ConclusionsDisparities were found in eye care utilization among Black and Hispanic patients with glaucoma. These differences persisted among Blacks after stratification by SES, suggesting that systemic racism may be an independent driver in this population.
| S-EPMC8940630 | biostudies-literature