Factors associated with self-reports of limitations in activities of daily living among Medicare Fee-for-Service recipients.

BACKGROUND: Physical function is an important indicator of physical health and predicts mortality. This study identified characteristics associated with limitations in Medicare recipients' activities of daily living. METHODS: 2019 Consumer Assessment of Healthcare Providers and Systems Fee-for-Service Medicare Survey data: 79,725 respondents (34% response rate) who were 65 and older and 53% female; 7% Black, 5% Hispanic, 4% Asian American, Native Hawaiian, or other Pacific Islander, 2% Multiracial, 1% American Indian/Alaskan Native; 35% with high school education or less. Walking, getting in and out of chairs, bathing, dressing, toileting, and eating (scored as having no difficulty versus being able to do with difficulty or unable to do) and a scale of these items were regressed on patient characteristics. RESULTS: After adjustment for all characteristics, function limitations were found for those who smoked (effect sizes of significant associations range .04-.13), had chronic health conditions (.02-.33), were 85 years or older (.09-.46), needed assistance completing the survey (.32-1.29), were female (.05-.07), and had low income and assets (.15-.47). CONCLUSIONS: These nationally representative U.S. estimates of physical function characteristics are useful for interventions for vulnerable population subgroups.

Differential Privacy Protections in 2020 U.S. Decennial Census Data Do Not Impede Measurement of Racial and Ethnic Disparities.

Census data are vital to health care research but must also protect respondents' confidentiality. The 2020 decennial Census employs a new Differential Privacy framework; this study examines its effect on the accuracy of an important tool for measuring health disparities, the Bayesian Improved Surname and Geocoding (BISG) algorithm, which uses Census Block Group data to estimate race and ethnicity when self-reported data are unavailable. Using self-reported race and ethnicity data as our standard, we compared the accuracy of BISG estimates calculated using the original 2010 Census counts to the accuracy of estimates calculated using 2010 data but with 2020 Differential Privacy in place. The Differential Privacy methodology slightly decreases BISG accuracy for American Indian and Alaska Native people but has little effect for other groups, suggesting that the methodology will not impede health disparities research that employs BISG and similar methods.

Medicare Advantage enrollees' reports of unfair treatment during health care encounters.

We investigated unfair treatment among 1863 Medicare Advantage (MA) enrollees from 21 MA plans using 2022 survey data (40% response rate) in which respondents indicated whether they were treated unfairly in a health care setting based on any of 10 personal characteristics. We calculated reported unfair treatment rates overall and by enrollee characteristics. Nine percent of respondents reported any unfair treatment, most often based on health condition (6%), disability (3%), or age (2%). Approximately 40% of those reporting any unfair treatment endorsed multiple categories. People who qualified for Medicare via disability reported unfair treatment by disability, age, income, race and ethnicity, sex, sexual orientation, and gender/gender identity more often than those who qualified via age. Enrollees dually eligible for Medicare and Medicaid or eligible for a Low-Income Subsidy (DE/LIS) reported unfair treatment by disability, income, language/accent, race and ethnicity, culture/religion, and sex more often than non-DE/LIS enrollees. Compared with White respondents, racial and ethnic minority respondents more often reported unfair treatment by race and ethnicity, language/accent, culture/religion, and income. Female respondents were more likely than male respondents to report unfair treatment based on age and sex.

Comparing HEDIS performance of Dual Eligible Special Needs Plans with other coverage types for dually eligible people.

People eligible for both Medicare and Medicaid coverage ("dually eligible individuals") have lower levels of income and assets and often higher health care needs and costs than those eligible for Medicare but not Medicaid coverage. Their 3 most common Medicare coverage options are Medicare Advantage (MA) Dual Eligible Special Needs Plans (D-SNPs), non-D-SNP MA plans, and fee-for-service (FFS) Medicare with a stand-alone prescription drug plan. No prior study has examined clinical quality of care for dually eligible individuals across these 3 coverage types. To fill that void, we used logistic regression to compare these coverage types on 6 HEDIS measures of clinical quality of care that were available for both MA and FFS (constructed from claims files). D-SNPs and non-D-SNP MA plans significantly outperformed FFS for all 6 measures for dually eligible individuals, by approximately 5 percentage points for 2 measures and by 18-34 percentage points for the other 4 measures. For the 4 measures with the greatest advantage over FFS, performance was 3-8 percentage points higher in D-SNPs than in non-D-SNP MA plans.

Assessing the accuracy of race-and-ethnicity data in the Outcome and Assessment Information Set.

BACKGROUND: Limitations in the quality of race-and-ethnicity information in Medicare's data systems constrain efforts to assess disparities in care among older Americans. Using demographic information from standardized patient assessments may be an efficient way to enhance the accuracy and completeness of race-and-ethnicity information in Medicare's data systems, but it is critical to first establish the accuracy of these data as they may be prone to inaccurate observer-reported or third-party-based information. This study evaluates the accuracy of patient-level race-and-ethnicity information included in the Outcome and Assessment Information Set (OASIS) submitted by home health agencies. METHODS: We compared 2017-2022 OASIS-D race-and-ethnicity data to gold-standard self-reported information from the Medicare Consumer Assessment of Healthcare Providers and Systems® survey in a matched sample of 304,804 people with Medicare coverage. We also compared OASIS data to indirect estimates of race-and-ethnicity generated using the Medicare Bayesian Improved Surname and Geocoding (MBISG) 2.1.1 method and to existing Centers for Medicare & Medicaid Services (CMS) administrative records. RESULTS: Compared with existing CMS administrative data, OASIS data are far more accurate for Hispanic, Asian American and Native Hawaiian or other Pacific Islander, and White race-and-ethnicity; slightly less accurate for American Indian or Alaska Native race-and-ethnicity; and similarly accurate for Black race-and-ethnicity. However, MBISG 2.1.1 accuracy exceeds that of both OASIS and CMS administrative data for every racial-and-ethnic category. Patterns of inconsistent reporting of racial-and-ethnic information among people for whom there were multiple observations in the OASIS and Consumer Assessment of Healthcare Providers and Systems (CAHPS) datasets suggest that some of the inaccuracies in OASIS data may result from observation-based reporting that lessens correspondence with self-reported data. CONCLUSIONS: When health record data on race-and-ethnicity includes observer-reported information, it can be less accurate than both true self-report and a high-performing imputation approach. Efforts are needed to encourage collection of true self-reported data and explicit record-level data on the source of race-and-ethnicity information.

Measuring susceptibility to use tobacco in an increasingly complex consumer marketplace: How many questions do we really need?

OBJECTIVE: Predicting which young people are likely to use tobacco in the future is critical for prevention and intervention. Although measures for assessing susceptibility to using tobacco have fulfilled this goal for decades, there is almost no standard for the number of items that should be administered, or which items should be administered for which products. This study explored whether brief but psychometrically sound versions of commonly used susceptibility measures can adequately capture the construct relative to longer measures. METHOD: A sample of young people (N = 451; Mage = 16.5 years; 64% females; 65% White) completed 33 susceptibility items, which are designed to assess susceptibility to use different types of tobacco products (cigarette, smokeless tobacco, vaping products, and little cigars/cigarillos) of various flavors (tobacco, menthol, and sweet). RESULTS: Analysis of these 33 items indicated that asking about the likelihood of using each tobacco product class when a best friend offers it (four items in all) captures 98.5% of information that is captured using the longer set of items; asking the best friend question for each product by each flavor category (11 items in all) captures 99.7% of the information. CONCLUSIONS: Depending on research needs, tobacco use susceptibility can be measured with little loss of information by administering a limited set of items assessing the likelihood that a young person will use a tobacco product if a friend offers it for any product-flavor combination. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Doing more with less: A proposal to advance cigarette packaging regulations in the United States.

Cigarette packages are potent marketing tools. Following guidance from the WHO Framework Convention on Tobacco Control, many countries have sought to diminish this marketing power by mandating that (1) large graphic health warnings be affixed to the packages (i.e., text warnings combined with graphic images of the health consequences of smoking) and (2) all packages be fully "plain" in their design (i.e., all packages use the same drab/bland color and font type; no brand logos, other colors, or designs are permitted). Yet, the United States lags other countries in implementing regulations designed to blunt the marketing power of cigarette packages. This is not because of a lack of effort on the part of the Food and Drug Administration, the main governmental body charged with regulating tobacco products in the United States. Rather, it is because the regulatory options that that have been advanced in the country (e.g., graphic health warnings) have not been found - yet - to be legally feasible by its courts. This commentary works through some of the conceptual, practical, and legal issues regarding packaging regulations in the United States. It considers the political and bureaucratic risks involved with issuing new regulations. The overall intent is to prompt our field to think creatively about what is realistic in this regulatory space and to offer a novel perspective that may help move the United States tobacco control community forward in its efforts to reduce the promotional power of cigarette packages.

Does Reducing the Size of the Tobacco Power Wall Affect Young People's Risk of Future Use of Tobacco Products? An Experimental Investigation.

OBJECTIVE: A ban on tobacco power walls (in-store package displays) is unlikely in the United States because of concerns that such bans violate commercial free speech rights. This experiment evaluated the effectiveness of a more measured strategy for mitigating the influence of the power wall on young people's susceptibility to tobacco use: limiting its size. METHOD: The experiment took place in the RAND StoreLab, a life-sized replica of a convenience store. Participants (N = 275) ages 11-20 years were randomly assigned to shop in a variant of the StoreLab that had either a large (status quo), medium, or small power wall situated behind the checkout counter. Before and after shopping, participants completed measures of risk of future use of unflavored and flavored cigarettes and vaping products. RESULTS: Study condition was unrelated to future risk of smoking unflavored cigarettes, using menthol vaping products, and using sweet-flavored vaping products. Study condition was related to future risk of smoking menthol cigarettes and using unflavored vaping products; compared with exposure to a large power wall, exposure to a small power wall increased the odds of a participant's being at risk for future smoking of menthol cigarettes (odds ratio [OR] = 3.29, 95% CI [1.10, 9.83]) and the odds of a participant's being at risk for using unflavored vaping products (OR = 4.09, 95% CI [1.41, 11.85]). CONCLUSIONS: These findings call into question the viability of reducing the size of the power wall as a singular strategy for dampening its effect on young people's susceptibility to tobacco use.

Do Hospital Characteristics Predict Racial-and-Ethnic Disparities in Patient Experience? National Results From the HCAHPS Survey.

OBJECTIVE: Assess whether hospital characteristics associated with better patient experiences overall are also associated with smaller racial-and-ethnic disparities in inpatient experience. BACKGROUND: Hospitals that are smaller, non-profit, and serve high proportions of White patients tend to be high-performing overall, but it is not known whether these hospitals also have smaller racial-and-ethnic disparities in care. RESEARCH DESIGN: We used linear mixed-effect regression models to predict a summary measure that averaged eight Hospital CAHPS (HCAHPS) measures (Nurse Communication, Doctor Communication, Staff Responsiveness, Communication about Medicines, Discharge Information, Care Coordination, Hospital Cleanliness, and Quietness) from patient race-and-ethnicity, hospital characteristics (size, ownership, racial-and-ethnic patient-mix), and interactions of race-and-ethnicity with hospital characteristics. SUBJECTS: Inpatients discharged from 4,365 hospitals in 2021 who completed an HCAHPS survey ( N =2,288,862). RESULTS: While hospitals serving larger proportions of Black and Hispanic patients scored lower on all measures, racial-and-ethnic disparities were generally smaller for Black and Hispanic patients who received care from hospitals serving higher proportions of patients in their racial-and-ethnic group. Experiences overall were better in smaller and non-profit hospitals, but racial-and-ethnic differences were slightly larger. CONCLUSIONS: Large, for-profit hospitals and hospitals serving higher proportions of Black and Hispanic patients tend to be lower performing overall but have smaller disparities in patient experience. High-performing hospitals might look at low-performing hospitals for how to provide less disparate care whereas low-performing hospitals may look to high-performing hospitals for how to improve patient experience overall.

Does removing menthol cigarettes in convenience stores reduce susceptibility to cigarette smoking? An experimental investigation in young people.

BACKGROUND: Evidence for the effectiveness of menthol cigarette bans comes mostly from studies of adults that smoke. This experiment evaluated whether the absence of menthol products from a convenience store influenced young people's susceptibility to cigarette smoking after they shopped in the store. METHODS: This experiment took place in the RAND StoreLab (RSL), a life-sized research convenience store. A three-group, between-subjects design was used. Study conditions differed in the mix of flavored tobacco products the RSL displayed: 1) All tobacco-, sweet-, and menthol-flavors displayed; 2) only tobacco- and menthol-flavors displayed; and 3) only tobacco-flavors displayed. Participants were randomly assigned to shop in the RSL under one of these conditions and after shopping, completed measures of their susceptibility to cigarette smoking, one measure for menthol cigarettes and one for unflavored cigarettes (scores on each susceptibility measure was dichotomized: 0 = not susceptible; 1 = susceptible). RESULTS: Multivariable logistic regression assessed the main effects of condition on susceptibility to smoking menthol and unflavored cigarettes. There was no condition effect on susceptibility to smoking unflavored cigarettes. However, removing menthol-flavored products significantly increased participants' susceptibility to smoking menthol cigarettes compared to when all flavored products were available (OR = 3.66, 95% CI [1.33, 10.03]). This significant effect was only found among young people with some pre-existing risk of cigarette smoking (OR = 5.92, 95% CI [1.81, 19.39]). CONCLUSION: Results suggest the need to consider that menthol bans could unintentionally increase the appeal of menthol cigarettes among youth already at risk of smoking.

Patient Comments on the Consumer Assessment of Healthcare Providers and Systems Clinician and Group (CG-CAHPS) Survey Reflect Improvements in Provider Behaviors From Coaching.

GOAL: Patient experience survey data are used to examine the patient-centeredness of care, identify areas for improvement, and monitor interventions aimed to enhance the patient experience. Most healthcare organizations measure patient experience using Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys. Studies have documented the use of CAHPS closed-ended survey responses for completing public reports, monitoring internal feedback and performance, identifying areas of improvement, and evaluating interventions to improve care. However, limited evidence exists on the utility of patients' comments on CAHPS surveys for evaluating provider-level interventions. To explore this potential, we examined comments on the CAHPS Clinician and Group (CG-CAHPS) 2.0 visit survey before and after a provider intervention. The "shadow coaching" intervention had been shown to improve provider performance and patient experience scores on the CG-CAHPS overall provider rating and provider communication composite. METHODS: We examined how patient comments on the CG-CAHPS survey differed before and after shadow coaching of 74 providers. We described the valence (tone), content, and actionability of 1,935 comments-1,051 collected before coaching and 884 collected after coaching-to see how these aspects changed before and after providers were coached. PRINCIPAL FINDINGS: Patient comments reflected improved CG-CAHPS scores after shadow coaching. The proportion of positive comments increased, and comments about doctors were more positive. Comments about time spent in the examination room decreased, apparently reflecting the decreased proportion of negative comments after coaching. Comments regarding three of the four aspects of provider communication asked on the CG-CAHPS survey were more positive after coaching (provider listens carefully, shows respect, spends enough time); the valence of comments about the fourth aspect (provider explains things in a way that is easy to understand) did not change. Also, comments describing an overall positive evaluation of the practice increased. Comments were generally less actionable after coaching, perhaps reflecting the increased positivity of the comments. PRACTICAL APPLICATIONS: Patient comments collected before the provider intervention reflected overall improvements in provider behavior, as indicated by medium-to-large statistically significant improvements in CG-CAHPS composite scores. These results suggest that patient comments from the CG-CAHPS survey can be used as input for quality improvement or an evaluation of provider-level interventions. Tracking the valence and content of comments about providers before and after an intervention to improve care is a practical method to learn how provider behavior changes.

An experimental evaluation of the effects of banning the sale of flavored tobacco products on adolescents' and young adults' future nicotine vaping intentions.

BACKGROUND: Some U.S. states and municipalities have banned the sale of flavored tobacco products to help curb youth vaping. However, evidence supporting such bans is limited. This experiment tested whether removing flavored tobacco products from a retail setting diminished adolescents' (ages 11-20) future intentions to use vaping products. METHODS: The study was implemented in the RAND StoreLab, a life-sized model convenience store. The display of flavored tobacco products in the store was manipulated with these conditions: 1) tobacco, sweet, and menthol/mint flavors displayed; 2) only tobacco and menthol/mint displayed; and 3) only tobacco flavors displayed. Participants were randomly assigned to shop in one of these conditions and completed measures of future vaping intentions post-shopping. Separate logistic regression models assessed effect of condition on future intentions to use different flavors (tobacco-, menthol/mint-, and sweet-flavored) and any flavor (composite score across flavor categories) of vaping products. RESULTS: Study condition was not associated with intentions to use menthol/mint-, sweet-flavored, or any flavor. Compared to the condition in which all flavored products were displayed, removing menthol/mint- and sweet-flavored products significantly increased future intentions to use tobacco-flavored vaping products (OR = 3.97, 95 % CI [1.01, 15.58], p < .05). This effect was only observed among adolescents with history of vaping (OR = 11.30, 95 % CI [1.42, 89.96], p = .02). CONCLUSIONS: Flavor bans may not affect adolescents' intentions to use menthol/mint, sweet, or "any" flavor of vaping products but may increase intentions to use tobacco-flavored products for teens who have already started vaping.

Development of a Medicare plan dashboard to promote health equity.

OBJECTIVE: To describe a multistage process of designing and evaluating a dashboard that presents data on how equitably health plans provide care for their members. STUDY DESIGN: We designed a dashboard for presenting summative and finer-grained data to health plans for characterizing how well plans are serving individuals who belong to racial/ethnic minority groups and individuals with low income. The data presented in the dashboard were based on CMS' Health Equity Summary Score (HESS) for Medicare Advantage plans. METHODS: Interviews and listening sessions were conducted with health plan representatives and other stakeholders to assess understanding, perceived usefulness, and interpretability of HESS data. Usability testing was conducted with individuals familiar with quality measurement and reporting to evaluate dashboard design efficiency. RESULTS: Listening session participants understood the purpose of the HESS and expressed a desire for this type of information. Usability testing revealed a need to improve dashboard navigability and to streamline content. CONCLUSIONS: The HESS dashboard is a potentially useful tool for presenting data on health equity to health plans. The multistage process of continual testing and improvement used to develop the dashboard could be a model for targeting and deciding upon quality improvement efforts in the domain of health equity.

Evaluation of a protocol for eliciting narrative accounts of pediatric inpatient experiences of care.

OBJECTIVE: To evaluate the measurement properties of a set of six items designed to elicit narrative accounts of pediatric inpatient experience. DATA SOURCES: Data came from 163 participants recruited from a probability-based online panel of U.S. adults. Participants were family members of a child who had an overnight hospital stay in the past 12 months. STUDY DESIGN: Cross-sectional survey with follow-up phone interviews. DATA COLLECTION/EXTRACTION METHODS: Participants completed an online (n = 129) or phone (n = 34) survey about their child's hospitalization experience. The survey contained closed-ended items from the Child Hospital Consumer Assessment of Healthcare Providers and Systems (Child HCAHPS) survey, followed by the six narrative items. Approximately 2 weeks after completing the survey, 47 participants additionally completed a one-hour, semi-structured phone interview, the results of which served as a "gold standard" for evaluating the fidelity of narrative responses. Qualitative content analysis was used to code narrative and interview responses for domains of patient experience and actionability. PRINCIPAL FINDINGS: The average narrative was 248 words (SD = 319). Seventy-nine percent of narratives mentioned a topic included in the Child HCAHPS survey; 89% mentioned a topic not covered by that survey; and 75% included at least one detailed description of an actionable event. Overall, there was 66% correspondence between narrative and interview responses. Correspondence was higher on the phone than in the online condition (75% vs. 59%). CONCLUSIONS: Narratives elicited from rigorously designed multi-item sets can provide detailed, substantive information about pediatric inpatient experiences that hospitals could use to improve child and family experiences during pediatric hospitalization. They add context to closed-ended survey item responses and provide information about experiences of care important to children and families that are not included in quantitative surveys.

Measuring Equity in the Hospital Setting: An HCAHPS Application of the Health Equity Summary Score.

BACKGROUND: Health care quality varies by patient factors, including race-and-ethnicity and preferred language. Addressing inequities requires identifying them and incentivizing equity. OBJECTIVES: We apply an approach first implemented in the Medicare Advantage setting to measure equity in patient experiences by race-and-ethnicity [Asian American and Native Hawaiian or Pacific Islander (AA and NHPI), Black, Hispanic, vs. White] and language preference (English-preferring vs. another-language-preferring). We identify characteristics of hospitals providing high-quality equitable care. RESEARCH DESIGN: We estimated, standardized, and combined performance measures into a Health Equity Summary Score (HESS) using 2016-2019 Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey data. The HCAHPS HESS considered current cross-sectional performance, within-hospital improvement, and overall improvement by race-and-ethnicity and language preference. SUBJECTS: A total of 3333 US hospitals with 2019 HCAHPS Star Ratings. RESULTS: The HCAHPS HESS was calculable for 44% of hospitals. High-scoring (4-5 diamonds on a 1-diamond to 5-diamond scale) hospitals tended to be smaller than intermediate-scoring [3 diamonds (14% of high-scoring hospitals had <100 beds vs. 7% of intermediate-scoring hospitals, P <0.001) and were less often for-profit (20% vs. 31%, P <0.001)]. While a significant percentage (29%) of patients served by high-scoring hospitals were AA and NHPI, Black, or Hispanic, and 9% were another-language-preferring, there were smaller proportions of Black and Hispanic patients in high-scoring versus other hospitals. HESS performance was negatively associated with the percentage of patients preferring another language to English. HESS scores were moderately correlated with overall Star Ratings ( r =0.70). CONCLUSIONS: The HCAHPS HESS and practices of high-scoring hospitals could promote more equitable patient experiences.

Rural disparities in the quality of clinical care are notable and larger for males.

PURPOSE: To investigate whether rural-urban differences in quality of care for Medicare Advantage (MA) enrollees vary between females and males. METHODS: Data for this study came from the 2019 Healthcare Effectiveness Data and Information Set. Linear regression was used to investigate urban-rural differences in individual MA enrollee scores on 34 clinical care measures grouped into 7 categories, and how those differences varied by sex (through evaluation of statistical interactions). FINDINGS: Across all 7 categories of measures, scores for rural residents were worse than scores for urban residents. For 4 categories-care for patients with (suspected) chronic obstructive pulmonary disease, avoiding prescription misuse, behavioral health, and diabetes care-the average difference across measures in the category was greater than 3 percentage points. Across all 34 measures, there were 15 statistically significant rural-by-sex interactions that exceeded 1 percentage point. In 11 of those cases, the deficit associated with living in a rural area was greater for males than for females. In 3 cases, the deficit associated with living in a rural area was larger for females than for males. In 1 case involving Follow-up After Hospitalization for Mental Illness, rural residents had an advantage, and it was larger for males than for females. CONCLUSIONS: Interventions may help address patient- (eg, health literacy and patient activation), provider- (eg, workforce recruitment and retention), and structural-level issues contributing to these disparities, especially for rural males.

Income-related disparities in Medicare advantage behavioral health care quality.

OBJECTIVE: To inform efforts to improve equity in the quality of behavioral health care by examining income-related differences in performance on HEDIS behavioral health measures in Medicare Advantage (MA) plans. DATA SOURCES AND STUDY SETTING: Reporting Year 2019 MA HEDIS data were obtained and analyzed. STUDY DESIGN: Logistic regression models were used to estimate differences in performance related to enrollee income, adjusting for sex, age, and race-and-ethnicity. Low-income enrollees were identified by Dual Eligibility for Medicare and Medicaid or receipt of the Low-Income Subsidy (DE/LIS). Models without and with random effects for plans were used to estimate overall and within-plan differences in measure performance. Heterogeneity by race-and-ethnicity in the associations of low-income with behavioral health quality were examined using models with interaction terms. DATA COLLECTION/EXTRACTION METHODS: Data were included for all MA contracts in the 50 states and the District of Columbia that collect HEDIS data. PRINCIPAL FINDINGS: For six of the eight measures, enrollees with DE/LIS coverage were more likely to have behavioral health conditions that qualify for HEDIS measures than higher income enrollees. In mixed-effects logistic regression models, DE/LIS coverage was associated with statistically significantly worse overall performance on five measures, with four large (>5 percentage point) differences (-7.5 to -11.1 percentage points) related to follow-up after hospitalization and avoidance of drug-disease interactions. Where the differences were large, they were primarily within-plan rather than between-plan. Interactions between DE/LIS and race-and-ethnicity were statistically significant (p < 0.05) for all measures; income-based quality gaps were larger for White enrollees than for Black or Hispanic enrollees. CONCLUSIONS: Low income is associated with lower performance on behavioral health HEDIS measures in MA, but these associations differ across racial-and-ethnic groups. Improving care integration and addressing barriers to care for low-income enrollees may improve equity across income levels in behavioral health care.

Poor self-rated mental health and Medicare beneficiaries' routine care-seeking.

OBJECTIVES: To assess the relationship between self-rated mental health (SRMH) and infrequent routine care among Medicare beneficiaries and to investigate the roles of managed care and having a personal doctor. STUDY DESIGN: Cross-sectional analysis of data from the 2018 Medicare Consumer Assessment of Healthcare Providers and Systems survey. METHODS: Logistic regression was used to predict infrequent routine care (having not made an appointment for routine care in the last 6 months) from SRMH, Medicare coverage type (fee-for-service [FFS] vs Medicare Advantage [MA], the managed care version of Medicare), and the interaction of these variables. Models that did and did not include having a personal doctor were compared. All models controlled for demographics and physical health. RESULTS: Overall, 14.9% of beneficiaries did not make a routine care appointment in the last 6 months, with rates adjusted for demographics and physical health ranging from 14.5% for those with "excellent" SRMH to 19.2% for those with "poor" SRMH. Beneficiaries with poor SRMH were less likely to make a routine care appointment in FFS than in MA (20.1% vs 16.4%, respectively, had not done so in the last 6 months; P < .05). Accounting for having a personal doctor reduced the association between SRMH and infrequent routine care by about a third. CONCLUSIONS: Extra efforts are needed to ensure receipt of routine care by beneficiaries with poor mental health-particularly in FFS, where more should be done to ensure that beneficiaries have a personal doctor.