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.

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.

Patient Experience for Hispanic Older Adults Varies by Language Preference.

BACKGROUND: Hispanic people with Medicare report worse patient experiences than non-Hispanic White counterparts. However, little research examines how these disparities may vary by language preference (English/Spanish). OBJECTIVES: Using Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey data, assess whether 2014-2018 disparities in patient experiences for Hispanic people with Medicare vary by language preference. RESEARCH DESIGN: We fit a series of linear, case-mix adjusted models predicting Medicare CAHPS measures by race/ethnicity/language preference (Hispanic Spanish-respondents; Hispanic Spanish-preferring English-respondents; Hispanic English-preferring respondents; and non-Hispanic White English-respondents). SUBJECTS: A total of 1,006,543 Hispanic and non-Hispanic White respondents to the Medicare 2014-2018 CAHPS surveys. RESULTS: There were disparities for all Hispanic groups relative to non-Hispanic White English-respondents. Hispanic Spanish-preferring English-respondents reported worse experience than Hispanic Spanish-respondents for getting care quickly (-8 points), getting needed care (-5 points), doctor communication (-2 points), and customer service (-1 point), but better experiences for flu immunization (+2 points). Similarly, Hispanic Spanish-preferring English-respondents reported worse experience than Hispanic English-preferring respondents for getting care quickly (-4 points) and getting needed care (-2 points). Hispanic English-preferring respondents reported worse experience than Hispanic Spanish-respondents for getting care quickly (-4 points), getting needed care (-3 points), doctor communication and customer service (-2 points each), but better experience for flu immunization (+2 points). CONCLUSIONS: Regardless of language preference, Hispanic people with Medicare experience disparities in patient care relative to non-Hispanic White English-preferring counterparts. Hispanic Spanish-preferring English-respondents report the worse experiences, followed by Hispanic English-preferring respondents. Hispanic Spanish-respondents experienced the least disparities of the three Hispanic language subgroups.

Disparities in Care Experienced by Older Hispanic Medicare Beneficiaries in Urban and Rural Areas.

BACKGROUND: Hispanic older adults face substantial health disparities compared with non-Hispanic-White (hereafter "White") older adults. To the extent that these disparities stem from cultural and language barriers faced by Hispanic people, they may be compounded by residence in rural areas. OBJECTIVE: The objective of this study was to investigate possible interactions between Hispanic ethnicity and rural residence in predicting the health care experiences of older adults in the United States, and whether disparities in care for rural Hispanic older adults differ in Medicare Advantage versus Medicare Fee-for-Service. SUBJECTS: Medicare beneficiaries age 65 years and older who responded to the 2017-2018 nationally representative Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys. METHODS: We fit a series of linear, case-mix-adjusted models predicting Medicare CAHPS measures of patient experience (rescaled to a 0-100 scale) from ethnicity, place of residence, and Medicare coverage type. RESULTS: In all residential areas, Hispanic beneficiaries reported worse experiences with getting needed care (-3 points), getting care quickly (-4 points), and care coordination (-1 point) than White beneficiaries (all P's<0.001). In rural areas only, Hispanic beneficiaries reported significantly worse experiences than White beneficiaries on doctor communication and customer services (-3 and -9 points, respectively, P<0.05). Tests of a 3-way interaction between ethnicity, rural residence, and coverage type were nonsignificant. CONCLUSIONS: There is a need to improve access to care and care coordination for Hispanic beneficiaries overall and doctor-patient communication and customer service for rural Hispanic beneficiaries. Strategies for addressing deficits faced by rural Hispanics may involve cultural competency training and provision of language-appropriate services for beneficiaries (perhaps as telehealth services).

Measuring Inconsistency in Quality Across Patient Groups to Target Quality Improvement.

BACKGROUND: Quality improvement (QI) may be aimed at improving care for all patients, or it may be targeted at only certain patient groups. Health care providers have little guidance when determining when targeted QI may be preferred. OBJECTIVES: The aim was to develop a method for quantifying performance inconsistency and guidelines for when inconsistency indicates targeted QI, which we apply to the performance of health plans for different patient groups. RESEARCH DESIGN AND MEASURES: Retrospective analysis of 7 Health Care Effectiveness Data and Information Set (HEDIS) measures of clinical care quality. SUBJECTS: All Medicare Advantage (MA) beneficiaries eligible for any of 7 HEDIS measures 2015-2018. RESULTS: MA plans with higher overall performance tended to be less inconsistent in their performance (r=-0.2) across groups defined by race-and-ethnicity and low-income status (ie, dual eligibility for Medicaid or receipt of Low-Income Subsidy). Plan characteristics were usually associated with only small differences in inconsistency. The characteristics associated with differences in consistency [eg, size, Health Maintenance Organization (HMO) status] were also associated with differences in overall performance. We identified 9 (of 363) plans that had large inconsistency in performance across groups (>0.8 SD) and investigated the reasons for inconsistency for 2 example plans. CONCLUSIONS: This newly developed inconsistency metric may help those designing and evaluating QI efforts to appropriately determine when targeted QI is preferred. It can be used in settings where performance varies across groups, which can be defined by patient characteristics, geographic areas, hospital wards, etc. Effectively targeting QI efforts is essential in today's resource-constrained health care environment.

Rates of Disenrollment From Medicare Advantage Plans Are Higher for Racial/Ethnic Minority Beneficiaries.

BACKGROUND: Each year, about 10% of Medicare Advantage (MA) enrollees voluntarily switch to another MA contract, while another 2% voluntarily switch from MA to fee-for-service Medicare. Voluntary disenrollment from MA plans is related to beneficiaries' negative experiences with their plan, disrupts the continuity of care, and conflicts with goals to reduce Medicare costs. Little is known about racial/ethnic disparities in voluntary disenrollment from MA plans. OBJECTIVE: The objective of this study was to investigate differences in rates of voluntary disenrollment from MA plans by race/ethnicity. SUBJECTS: A total of 116,770,319 beneficiaries enrolled in 736 MA plans in 2015. METHODS: Differences in rates of disenrollment across racial/ethnic groups [Asian or Pacific Islander (API), Black, Hispanic, and White] were summarized using 4 types of logistic regression models: adjusted and unadjusted models estimating overall differences and adjusted and unadjusted models estimating within-plan differences. Unadjusted overall models included only racial/ethnic group probabilities as predictors. Adjusted overall models added age, sex, dual eligibility, disability, and state of residence as control variables. Between-plan differences were estimated by subtracting within-plan differences from overall differences. RESULTS: Adjusted rates of disenrollment were significantly (P<0.001) higher for Hispanic (+1.2 percentage points), Black (+1.2 percentage points), and API beneficiaries (+2.4 percentage points) than for Whites. Within states, all 3 racial/ethnic minority groups tended to be concentrated in higher disenrollment plans. Within plans, API beneficiaries voluntarily disenrolled considerably more often than otherwise similar White beneficiaries. CONCLUSION: These findings suggest the need to address cost, information, and other factors that may create barriers to racial/ethnic minority beneficiaries' enrollment in plans with lower overall disenrollment rates.

Incentivizing Excellent Care to At-Risk Groups with a Health Equity Summary Score.

BACKGROUND: Social risk factors (SRFs) such as minority race-and-ethnicity or low income are associated with quality-of-care, health, and healthcare outcomes. Organizations might prioritize improving care for easier-to-treat groups over those with SRFs, but measuring, reporting, and further incentivizing quality-of-care for SRF groups may improve their care. OBJECTIVE: To develop, as a proof-of-concept, a Health Equity Summary Score (HESS): a succinct, easy-to-understand score that could be used to promote high-quality care to those with SRFs in Medicare Advantage (MA) health plans, which provide care for almost twenty million older and disabled Americans and collect extensive quality measure and SRF data. DESIGN: We estimated, standardized, and combined performance scores for two sets of quality measures for enrollees in 2013-2016 MA health plans, considering both current levels of care, within-plan improvement, and nationally benchmarked improvement for those with SRFs (specifically, racial-and-ethnic minority status and dual-eligibility for Medicare and Medicaid). PARTICIPANTS: All MA plans with publicly reported quality scores and 500 or more 2016 enrollees. MAIN MEASURES: Publicly reported clinical quality and patient experience measures. KEY RESULTS: Almost 90% of plans measured for MA Star Ratings received a HESS; plans serving few patients with SRFs were excluded. The summary score was moderately positively correlated with publicly reported overall Star Ratings (r = 0.66-0.67). High-scoring plans typically had sizable enrollment of both racial-and-ethnic minorities (38-42%) and dually eligible beneficiaries (29-38%). CONCLUSIONS: We demonstrated the feasibility of developing and estimating a HESS that is intended to promote and incentivize excellent care for racial-and-ethnic minorities and dually eligible MA enrollees. The HESS measures SRF-specific performance and does not simply duplicate overall plan Star Ratings. It also identifies plans that provide excellent care to large numbers of those with SRFs. Our methodology could be extended to other SRFs, quality measures, and settings.

Disparities in Care Experienced by American Indian and Alaska Native Medicare Beneficiaries.

BACKGROUND: Little is known about the health care experiences of American Indians and Alaska Natives (AIANs) due to limited data. OBJECTIVE: The objective of this study was to investigate the health care experiences of AIAN Medicare beneficiaries relative to non-Hispanic Whites using national survey data pooled over 5 years. SUBJECTS: A total of 1,193,248 beneficiaries who responded to the nationally representative 2012-2016 Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys. METHODS: Linear regression models predicted CAHPS measures from race and ethnicity. Scores on the CAHPS measures were linearly transformed to a 0-100 range and case-mix adjusted. Three AIAN groups were compared with non-Hispanic Whites: single-race AIANs (n=2491; 0.4% of the total sample), multiple-race AIANs (n=15,502; 1.3%), and Hispanic AIANs (n=2264; 0.2%). RESULTS: Among AIAN groups, single-race AIANs were most likely to live in rural areas and areas served by the Indian Health Service; Hispanic AIANs were most likely to be Spanish-language-preferring (P's<0.05). Compared with non-Hispanic Whites, single-race AIANs reported worse experiences with getting needed care (adjusted disparity of -5 points; a "large" difference), getting care quickly (-4 points; a "medium" difference), doctor communication (-2 points; a "small" difference), care coordination (-2 points), and customer service (-7 points; P<0.001 for all comparisons). Disparities were similar for Hispanic AIANs but more limited for multiple-race AIANs. CONCLUSIONS: Quality improvement efforts are needed to reduce disparities faced by older AIANs. These findings may assist in developing targeted efforts to address cultural, communication, and health system factors presumed to underlie disparities in health care access and customer service.

Using Ancillary Sociodemographic Data to Identify Sexual Minority Adults Among Those Responding "Something Else" or "Don't Know" to Sexual Orientation Questions.

BACKGROUND: General population surveys are increasingly offering broader response options for questions on sexual orientation-for example, not only gay or lesbian, but also "something else" (SE) and "don't know" (DK). However, these additional response options are potentially confusing for those who may not know what the terms mean. Researchers studying sexual orientation-based disparities face difficult methodological trade-offs regarding how best to classify respondents identifying with the SE and DK categories. OBJECTIVES: Develop respondent-level probabilities of sexual minority orientation without excluding or misclassifying the potentially ambiguous SE and DK responses. Compare 3 increasingly inclusive analytic approaches for estimating health disparities using a single item: (a) omitting SE and DK respondents; (b) classifying SE as sexual minority and omitting DK; and (c) a new approach classifying only SE and DK respondents with >50% predicted probabilities of being sexual minorities as sexual minority. MATERIALS AND METHODS: We used the sociodemographic information and follow-up questions for SE and DK respondents in the 2013-2014 National Health Interview Survey to generate predicted probabilities of identifying as a sexual minority adult. RESULTS: About 94% of the 144 SE respondents and 20% of the 310 DK respondents were predicted to identify as a sexual minority adult, with higher probabilities for younger, wealthier, non-Hispanic white, and urban-dwelling respondents. Using a more specific definition of sexual minority orientation improved the precision of health and health care disparity estimates. CONCLUSIONS: Predicted probabilities of sexual minority orientation may be used in this and other surveys to improve representation and categorization of those who identify as a sexual minority adult.

Improving Patients' Choice of Clinician by Including Roll-up Measures in Public Healthcare Quality Reports: an Online Experiment.

BACKGROUND: Public reports on healthcare quality typically include complex data. To lower the cognitive burden of interpreting these data, some report designers create summary, or roll-up, measures combining multiple indicators of quality into one score. Little is known about how the availability of roll-ups affects clinician choice. OBJECTIVE: To determine how presenting quality scores at different levels of aggregation affects patients' clinician choices. DESIGN: We conducted a simulated clinician-choice experiment, randomizing participants to three versions of a public reporting website and comparing their clinician choices. One version aggregated all clinician-level quality measures into roll-ups, the second provided disaggregated (drill-down) scores only, and the third offered both roll-ups and drill-downs. PARTICIPANTS: Five hundred fifty panelists drawn from a probability-based Internet panel. MAIN MEASURES: We assessed the amount of effort participants exerted by tracking the length of time spent on the website and the number of concrete actions taken on the website (e.g., clicking items). We evaluated decision quality by measuring whether participants selected a clinician who performed more poorly than others and incongruence between participants' stated preferences for dimensions of quality and their chosen clinician's performance on those dimensions. KEY RESULTS: Participants seeing drill-downs alone (mean = 14.9) or with roll-ups (mean = 19.2) took more actions than those who saw roll-ups alone (mean = 10.5) (ps < 0.05). However, participants seeing only drill-downs made poorer choices than those who saw roll-ups alone or with drill-downs. More participants seeing drill-downs chose a clinician who was outperformed (36.3% versus 23.4% [roll-up] and 25.6% [drill-down + roll-up], ps < 0.05) and made choices incongruent with stated preferences (51.2% versus 45.6% [roll-up] and 47.5% [drill-down + roll-up], ps < 0.05). The distinction between roll-up and drill-down was somewhat stronger for sicker participants. CONCLUSIONS: Our results suggest that roll-ups in healthcare quality reports, alone or as a complement to drill-downs, can help patients make better decisions for themselves.

What Words Convey: The Potential for Patient Narratives to Inform Quality Improvement.

Policy Points Narratives about patients' experiences with outpatient care are essential for quality improvement because they convey ample actionable information that both elaborates on existing domains within patient experience surveys and describes multiple additional domains that are important to patients. The content of narrative feedback from patients can potentially be translated to improved quality in multiple ways: clinicians can learn from their own patients, groups of clinicians can learn from the experience of their peers' patients, and health system administrators can identify and respond to patterns in patients' accounts that reflect systemic challenges to quality. Consistent investment by payers and providers is required to ensure that patient narratives are rigorously collected, analyzed fully, and effectively used for quality improvement. CONTEXT: For the past 25 years, health care providers and health system administrators have sought to improve care by surveying patients about their experiences. More recently, policymakers have acted to promote this learning by deploying financial incentives tied to survey scores. This article explores the potential of systematically elicited narratives about experiences with outpatient care to enrich quality improvement. METHODS: Narratives were collected from 348 patients recruited from a nationally representative Internet panel. Drawing from the literature on health services innovation, we developed a two-part coding schema that categorized narrative content in terms of (a) the aspects of care being described, and (b) the actionability of this information for clinicians, quality improvement staff, and health system administrators. Narratives were coded using this schema, with high levels of reliability among the coders. FINDINGS: The scope of outpatient narratives divides evenly among aspects of care currently measured by patient experience surveys (35% of content), aspects related to measured domains but not captured by existing survey questions (31%), and aspects of care that are omitted from surveys entirely (34%). Overall, the narrative data focused heavily on relational aspects of care (43%), elaborating on this aspect of experience well beyond what is captured with communication-related questions on existing surveys. Three-quarters of elicited narratives had some actionable content, and almost a third contained three or more separate actionable elements. CONCLUSIONS: In a health policy environment that incentivizes attention to patient experience, rigorously elicited narratives hold substantial promise for improving quality in general and patients' experiences with care in particular. They do so in two ways: by making concrete what went wrong or right in domains covered by existing surveys, and by expanding our view of what aspects of care matter to patients as articulated in their own words and thus how care can be made more patient-centered. Most narratives convey experiences that are potentially actionable by those committed to improving health care quality in outpatient settings.

Exposure to the Tobacco Power Wall Increases Adolescents' Willingness to Use E-cigarettes in the Future.

INTRODUCTION: Adolescents' e-cigarette use is now more prevalent than their combustible cigarette use. Youth are exposed to e-cigarette advertising at retail point-of-sale (POS) locations via the tobacco power wall (TPW), but no studies have assessed whether exposure to the TPW influences susceptibility to future e-cigarette use. METHODS: The study was conducted in the RAND Store Lab (RSL), a life-sized replica of a convenience store developed to experimentally evaluate how POS advertising influences tobacco use risk under simulated shopping conditions. In a between-subjects experiment, 160 adolescents (M age = 13.82; 53% female, 56% white) were randomized to shop in the RSL under one of two conditions: (1) TPW located behind the cashier (n = 80); or (2) TPW hidden behind an opaque wall (n = 80). Youths rated willingness to use e-cigarettes ("If one of your best friends were to offer you an e-cigarette, would you try it?"; 1 = definitely not, 10 = definitely yes) before and after exposure. Linear regression assessed differences in pre-post changes in willingness to use across conditions. RESULTS: Ever-use of e-cigarettes was 5%; use of cigarettes was 8%; use of both e-cigarettes and cigarettes was 4%. There were no differences between TPW conditions on these or other baseline variables (eg, age, gender). Compared to the hidden condition, TPW exposure was associated with greater increases in willingness to use e-cigarettes in the future (B = 1.15, standard error [SE] = 0.50, p = .02). CONCLUSIONS: Efforts to regulate visibility of the TPW at POS may help to reduce youths' susceptibility to initiating e-cigarettes as well as conventional tobacco products like cigarettes. IMPLICATIONS: Past work suggests that exposure to the TPW in common retail settings, like convenience stores, may increase adolescents' susceptibility to smoking cigarettes. This experimental study builds upon prior research to show that exposure to the TPW at retail POS similarly increases adolescents' willingness to use e-cigarettes in the future. Efforts to regulate the visibility of the TPW in retail settings may help to reduce youths' susceptibility to initiating nicotine and tobacco products, including e-cigarettes.

Placing Antismoking Graphic Warning Posters at Retail Point-of-Sale Locations Increases Some Adolescents' Susceptibility to Future Smoking.

Objectives: This experiment tested whether introducing graphic antitobacco posters at point-of-sale (POS) had any effect on adolescents' susceptibility to future cigarette smoking and whether these effects were moderated by adolescents' baseline risk of cigarette smoking. Methods: The study was conducted in the RAND StoreLab, a life-sized replica of a convenience store that was developed to experimentally evaluate how changing aspects of tobacco advertising displays in retail POS environments influence tobacco use risk and behavior during simulated shopping experiences. In this study, 441 adolescents were randomized to one of the four conditions in a 2 (graphic antismoking poster placed near the tobacco power wall: no, yes) × 2 (graphic antismoking poster placed near the cash register: no, yes) experimental design. The outcome of interest was susceptibility to future cigarette smoking. Results: The addition of antismoking posters at POS led to a significant increase in future smoking susceptibility among those adolescents who already were at high risk for smoking in the future (p < .045). The introduction of graphic antismoking posters had no impact on committed never smokers, regardless of poster location; never smokers' susceptibility to future smoking was uniformly low across experimental conditions. Conclusions: Introducing graphic antismoking posters at POS may have the unintended effect of further increasing cigarette smoking susceptibility among adolescents already at risk.

Do graphic health warning labels on cigarette packages deter purchases at point-of-sale? An experiment with adult smokers.

This experiment tested whether the presence of graphic health warning labels on cigarette packages deterred adult smokers from purchasing cigarettes at retail point-of-sale (POS), and whether individual difference variables moderated this relationship. The study was conducted in the RAND StoreLab (RSL), a life-sized replica of a convenience store that was developed to evaluate how changing POS tobacco advertising influences tobacco use outcomes during simulated shopping experiences. Adult smokers (n = 294; 65% female; 59% African-American; 35% White) were assigned randomly to shop in the RSL under one of two experimental conditions: graphic health warning labels present on cigarette packages versus absent on cigarette packages. Cigarette packages in both conditions were displayed on a tobacco power wall, which was located behind the RSL cashier counter. Results revealed that the presence of graphic health warning labels did not influence participants' purchase of cigarettes as a main effect. However, nicotine dependence acted as a significant moderator of experimental condition. Graphic health warning labels reduced the chances of cigarette purchases for smokers lower in nicotine dependence but had no effect on smokers higher in dependence.

Associations of CAHPS Composites With Global Ratings of the Doctor Vary by Medicare Beneficiaries' Health Status.

RESEARCH OBJECTIVE: Care coordination among health care providers is essential for high-quality care and it is strongly associated with overall ratings of doctors. Care coordination may be especially important for sicker and chronically ill patients because of the multiple providers involved in their care. This study examines whether the association of care coordination with global ratings of one's personal doctor varies by number of chronic conditions and self-rated health. STUDY DESIGN: We used nationally representative Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey data to evaluate care coordination, doctor communication, getting needed care, getting care quickly, count of 6 chronic conditions (angina, cancer, chronic obstructive pulmonary disease, diabetes, heart attack, stroke), self-rated general health (5-point scale, poor to excellent, scored linearly), and interactions among them as predictors of the CAHPS global rating of personal doctor (scored 0-100 with 100 being best possible personal doctor) using linear regression models. The analytic sample included 242,871 Medicare fee-for-service and managed care beneficiaries in 2013: 56% female; 14% 18-64, 47% 65-74, 27% 75-84, and 11% 85 and older; and 48% high school education or less. RESULTS: The CAHPS composites (of care coordination, doctor communication, getting needed care, and getting care quickly) and number of chronic conditions were significantly positively associated with ratings of personal doctor (P<0.05). Care coordination and doctor communication had a stronger association with positive ratings of the personal doctor among those with worse self-rated health (P<0.001). DISCUSSION: Results were consistent with the hypothesis that patients in worse health weigh care coordination more heavily in global physician assessments than patients in better health. Emphasis on improving care coordination, especially for patients in poorer health, may improve patients' overall assessments of their providers. The study provides further evidence for the importance of care coordination experiences in the era of patient-centered care.

Speaking Up and Walking Out: Are Vulnerable Patients Less Likely to Disagree With or Change Doctors?

BACKGROUND: Disparities in clinical process-of-care and patient experiences are well documented for Medicare beneficiaries with ≥1 social risk factors. If such patients are less willing to express disagreement with their doctors or change doctors when dissatisfied, these behaviors may play a role in observed disparities. OBJECTIVE: To investigate the association between social risk factors and self-reported likelihood of disagreeing with or changing doctors if dissatisfied among the Medicare fee-for-service population. SUBJECTS: Fee-for-service beneficiaries (N=96,317) who responded to the 2014 Medicare Consumer Assessment of Healthcare Providers and Systems survey. Subgroups were defined based on age, education, income, and race/ethnicity. METHODS: Respondents reported how likely they would be to express disagreement with their doctors and change doctors if dissatisfied (1=very unlikely to 4=very likely; rescaled to 0-100 points). We fit mixed-effect linear regression models predicting these outcomes from social risk factors, controlling for health status and geographic location. RESULTS: Beneficiaries who were older, less educated, and had lower incomes were least inclined to express disagreement or change doctors (P<0.001). Compared with non-Hispanic whites, Asian/Pacific Islander (-9.5) and Hispanic (-3.6) beneficiaries said they would be less likely, and black (+2.8) beneficiaries more likely, to express disagreement. Asian/Pacific Islander (-8.7), Hispanic (-5.9), and American Indian/Alaska Native (-3.8) beneficiaries were less inclined than non-Hispanic whites to change doctors (P<0.01). DISCUSSION: Reduction in health care disparities may be achieved if doctors and advocates encourage vulnerable patients to express their concerns and perspectives and if communities and caregivers provide support for changing providers when care is poor.

How Patient Comments Affect Consumers' Use of Physician Performance Measures.

BACKGROUND: Patients' comments about doctors are increasingly available on the internet. The effects of these anecdotal accounts on consumers' engagement with reports on doctor quality, use of more statistically reliable performance measures, and ability to choose doctors wisely are unknown. OBJECTIVE: To examine the effects of providing patient comments along with standardized performance information in a web-based public report. DESIGN: Participants were randomly assigned to view 1 of 6 versions of a website presenting comparative performance information on fictitious primary care doctors. Versions varied by the combination of information types [Consumer Assessment of Healthcare Providers and Systems (CAHPS), Healthcare Effectiveness Data and Information Set (HEDIS), and patient comments] and number of doctors. PARTICIPANTS: A random sample of working-age adults (N=848) from an online panel representing the noninstitutionalized population of the United States. MAIN MEASURES: Time spent and actions taken on the website, probing of standardized measures, and decision quality (chosen doctor rated highest on quantifiable metrics, chosen doctor not dominated by another choice). Secondary outcomes were perceived usefulness and trustworthiness of performance metrics and evaluations of the website. KEY RESULTS: Inclusion of patient comments increased time spent on the website by 35%-42% and actions taken (clicks) by 106%-117% compared with versions presenting only CAHPS and HEDIS measures (P<0.01). It also reduced participants' attention to standardized measures (eg, percentage of time probing HEDIS measures dropped by 67%, P<0.01). When patient comments were present, fewer participants chose the doctor scoring highest on standardized metrics (44%-49% vs. 61%-62%, P<0.01). CONCLUSIONS: Including patient comments in physician performance reports enhances consumers' engagement but reduces their attention to standardized measures and substantially increases suboptimal choices. More research is needed to explore whether integrated reporting strategies could leverage the positive effects of patient comments on consumer engagement without undermining consumers' use of other important metrics for informing choice among doctors.

Racial/Ethnic Disparities in Medicare Beneficiaries' Care Coordination Experiences.

BACKGROUND: Little is known about racial/ethnic differences in the experience of care coordination. To the extent that they exist, such differences may exacerbate health disparities given the higher prevalence of some chronic conditions among minorities. OBJECTIVE: To investigate the extent to which racial/ethnic disparities exist in the receipt of coordinated care by Medicare beneficiaries. SUBJECTS: A total of 260,974 beneficiaries who responded to the 2013 Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey. METHODS: We fit a series of linear, case-mix adjusted models predicting Medicare CAHPS measures of care coordination from race/ethnicity. RESULTS: Hispanic, black, and Asian/Pacific Islander (API) beneficiaries reported that their personal doctor had medical records and other relevant information about their care significantly less often than did non-Hispanic white beneficiaries (-2 points for Hispanics, -1 point for blacks, and -4 points for APIs on a 100-point scale). These 3 groups also reported significantly greater difficulty getting timely follow-up on test results than non-Hispanic white beneficiaries (-9 points for Hispanics, -1 point for blacks, -5 points for APIs). Hispanic and black beneficiaries reported that help was provided in managing their care significantly less often than did non-Hispanic white beneficiaries (-2 points for Hispanics, -3 points for blacks). API beneficiaries reported that their personal doctor discussed their medications and had up-to-date information on care from specialists significantly less often than did non-Hispanic white beneficiaries (-2 and -4 points, respectively). DISCUSSION: These results suggest a need for efforts to address racial/ethnic disparities in care coordination to help ensure high-quality care for all patients. Public reporting of plan-level performance data by race/ethnicity may also be helpful to Medicare beneficiaries and their advocates.

Hiding the tobacco power wall reduces cigarette smoking risk in adolescents: using an experimental convenience store to assess tobacco regulatory options at retail point-of-sale.

OBJECTIVES: This experiment tested whether changing the location or visibility of the tobacco power wall in a life sized replica of a convenience store had any effect on adolescents' susceptibility to future cigarette smoking. METHODS: The study was conducted in the RAND StoreLab (RSL), a life sized replica of a convenience store that was developed to experimentally evaluate how changing aspects of tobacco advertising displays in retail point-of-sale environments influences tobacco use risk and behaviour. A randomised, between-subjects experimental design with three conditions that varied the location or visibility of the tobacco power wall within the RSL was used. The conditions were: cashier (the tobacco power wall was located in its typical position behind the cash register counter); sidewall (the tobacco power wall was located on a sidewall away from the cash register); or hidden (the tobacco power wall was located behind the cashier but was hidden behind an opaque wall). The sample included 241 adolescents. RESULTS: Hiding the tobacco power wall significantly reduced adolescents' susceptibility to future cigarette smoking compared to leaving it exposed (ie, the cashier condition; p=0.02). Locating the tobacco power wall on a sidewall away from the cashier had no effect on future cigarette smoking susceptibility compared to the cashier condition (p=0.80). CONCLUSIONS: Hiding the tobacco power wall at retail point-of-sale locations is a strong regulatory option for reducing the impact of the retail environment on cigarette smoking risk in adolescents.