Sex differences in Medicare beneficiaries' experiences by low-income status.

OBJECTIVES: Medicare beneficiaries dually eligible for Medicaid are a low-income group who are often in poor health. Little research has examined sex differences in patient experience by dual/low-income subsidy (LIS) status. STUDY DESIGN: Cross-sectional comparison by sex and low-income status. METHODS: We used linear regression to compare 6 case mix-adjusted patient experience measures (on a 0-100 scale) by sex within non-dual/LIS and dual/LIS beneficiary groups among 549,603 respondents 65 years and older to the 2016-2017 Medicare Consumer Assessment of Healthcare Providers and Systems surveys of beneficiary experience with Medicare (mail with telephone follow-up of nonrespondents, 42% response rate). RESULTS: Dual/LIS male beneficiaries reported worse patient experiences on all 6 measures than female beneficiaries, with scores 1 to 2 percentage points lower for 3 measures and less than 1 percentage point lower for the other 3 measures. For 4 of the 6 measures, sex differences among dual/LIS beneficiaries were significantly larger than those among non-dual/LIS beneficiaries. In all 4 instances, the gaps between men and women among dual/LIS beneficiaries favored women; P < .05 for all differences discussed. CONCLUSIONS: Low-income male Medicare beneficiaries are more likely to report poor patient experiences, possibly because of lower health literacy, less patient activation, and smaller social networks, along with provider responses to these characteristics. Efforts to address these patient-level factors should happen in parallel with structural-level approaches to train and prepare providers to ensure attentive, respectful patient-centered care for all patients. Additionally, targeted use of ombudsmen and interventions may help reduce inequities.

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.

Development and Testing of an Emergency Department Quality Measure for Pediatric Suicidal Ideation and Self-Harm.

OBJECTIVE: To develop and test a new quality measure assessing timeliness of follow-up mental health care for youth presenting to the emergency department (ED) with suicidal ideation or self-harm. METHODS: Based on a conceptual framework, evidence review, and a modified Delphi process, we developed a quality measure assessing whether youth 5 to 17 years old evaluated for suicidal ideation or self-harm in the ED and discharged to home had a follow-up mental health care visit within 7 days. The measure was tested in 4 geographically dispersed states (California, Pennsylvania, South Carolina, Tennessee) using Medicaid administrative data. We examined measure feasibility of implementation, variation, reliability, and validity. To test validity, adjusted regression models examined associations between quality measure scores and subsequent all-cause and same-cause hospital readmissions/ED return visits. RESULTS: Overall, there were 16,486 eligible ED visits between September 1, 2014 and July 31, 2016; 53.5% of eligible ED visits had an associated mental health care follow-up visit within 7 days. Measure scores varied by state, ranging from 26.3% to 66.5%, and by youth characteristics: visits by youth who were non-White, male, and living in an urban area were significantly less likely to be associated with a follow-up visit within 7 days. Better quality measure performance was not associated with decreased reutilization. CONCLUSIONS: This new ED quality measure may be useful for monitoring and improving the quality of care for this vulnerable population; however, future work is needed to establish the measure's predictive validity using more prevalent outcomes such as recurrence of suicidal ideation or deliberate self-harm.

Shadow Coaching Improves Patient Experience With Care, But Gains Erode Later.

BACKGROUND: Health care organizations strive to improve patient care experiences. Some use one-on-one provider counseling (shadow coaching) to identify and target modifiable provider behaviors. OBJECTIVE: We examined whether shadow coaching improves patient experience across 44 primary care practices in a large urban Federally Qualified Health Center. RESEARCH DESIGN: Seventy-four providers with "medium" (ie, slightly below average) overall provider ratings received coaching and were compared with 246 uncoached providers. We fit mixed-effects regression models with random effects for provider (level of treatment assignment) and fixed effects for time (linear spline with a knot and "jump" at coaching date), patient characteristics and site indicators. By design, coached providers performed worse at selection; models account for the very small (0.2 point) regression-to-the-mean effects. We assessed differential effects by coach. SUBJECTS: A total of 46,452 patients (from 320 providers) who completed the Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) Visit Survey 2.0. MEASURES: CAHPS overall provider rating and provider communication composite (scaled 0-100). RESULTS: Providers not chosen for coaching had a nonsignificant change in performance during the period when selected providers were coached. We observed a statistically significant 2-point (small-to-medium) jump among coached providers after coaching on the CAHPS overall provider rating and provider communication score. However, these gains disappeared after 2.5 years; effects differed by coach. CONCLUSIONS: Shadow coaching improved providers' overall performance and communication immediately after being coached. Regularly planned shadow coaching "booster" sessions might maintain or even increase the improvement gained in patient experience scores, but research examining additional coaching and optimal implementation is needed.

Quality of Care for Youth Hospitalized for Suicidal Ideation and Self-Harm.

OBJECTIVE: To examine performance on quality measures for pediatric inpatient suicidal ideation/self-harm care, and whether performance is associated with reutilization. METHODS: Retrospective observational 8 hospital study of patients [N = 1090] aged 5 to 17 years hospitalized for suicidal ideation/self-harm between 9/1/14 and 8/31/16. Two medical records-based quality measures assessing suicidal ideation/self-harm care were evaluated, one on counseling caregivers regarding restricting access to lethal means and the other on communication between inpatient and outpatient providers regarding the follow-up plan. Multivariable logistic regression assessed associations between quality measure scores and 1) hospital site, 2) patient demographics, and 3) 30-day emergency department return visits and inpatient readmissions. RESULTS: Medical record documentation revealed that, depending on hospital site, 17% to 98% of caregivers received lethal means restriction counseling (mean 70%); inpatient-to-outpatient provider communication was documented in 0% to 51% of cases (mean 16%). The odds of documenting receipt of lethal means restriction counseling was higher for caregivers of female patients compared to caregivers of male patients (adjusted odds ratio [aOR] 1.51, 95% confidence interval [CI], 1.07-2.14). The odds of documenting inpatient-to-outpatient provider follow-up plan communication was lower for Black patients compared to White patients (aOR 0.45, 95% CI, 0.24-0.84). All-cause 30-day readmission was lower for patients with documented caregiver receipt of lethal means restriction counseling (aOR 0.48, 95% CI, 0.28-0.83). CONCLUSIONS: This study revealed disparities and deficits in the quality of care received by youth with suicidal ideation/self-harm. Providing caregivers lethal means restriction counseling prior to discharge may help to prevent readmission.

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.

Associations of Mail Survey Length and Layout With Response Rates.

We assess the association between survey layout and response rates (RRs) in the 2017 Medicare Advantage Consumer Assessment of Healthcare Providers and Systems mail survey. Among 438 Medicare Advantage plans surveyed by six vendors, there was latitude in survey layout, and plans could add up to 12 supplemental items. Regression models predicted survey response from survey characteristics (page count, number of supplemental items, and survey attractiveness), and beneficiary sociodemographics. Beneficiary-age-by-survey-characteristic interactions assessed whether survey characteristics were more strongly related to RRs among older beneficiaries. We found that surveys with more supplemental items and less attractive layouts had lower adjusted odds of response. RRs were more sensitive to format among older beneficiaries. The difference in adjusted RRs for the most favorable versus the least favorable survey design was 14.5%. For a 65-year-old, this difference was 13.6%; for an 80-year-old, it was 21.0%. These findings suggest that even within a relatively standardized survey, formatting can substantially influence RRs.

Gender Differences in Patient Experience Across Medicare Advantage Plans.

BACKGROUND: Medicare beneficiaries annually select fee-for-service Medicare or a private Medicare insurance (managed care) plan; information about plan performance on quality measures can inform their decisions. Although there is drill-down information available regarding quality variation by race and ethnicity, there remains a dearth of evidence regarding the extent to which care varies by other key beneficiary characteristics, such as gender. We measured gender differences for six patient experience measures and how gender gaps differ across Medicare plans. METHODS: We used data from 300,979 respondents to the 2015-2016 Medicare Advantage Consumer Assessment of Healthcare Providers and Systems surveys. We fit case mix-adjusted linear mixed-effects models to estimate gender differences and evaluate heterogeneity in differences across health plans. RESULTS: Nationally, women's experiences were better than men's (p < .05) by 1 percentage point on measures involving interactions with administrative staff (+1.6 percentage point for customer service) and timely access to care (+1.1 percentage point for getting care quickly), but worse on a measure that may involve negotiation with physicians (getting needed care). Gender gaps varied across plans, particularly for getting care quickly and getting needed care, where plan-level differences of up to 5 to 6 percentage points were observed. CONCLUSIONS: Although the average national differences in patient experience by gender were generally small, gender gaps were larger in some health plans and for specific measures. This finding indicates opportunities for health plans with larger gender gaps to implement quality improvement efforts.

Identifying optimal level-of-care placement decisions for adolescent substance use treatment.

BACKGROUND: Adolescents respond differentially to substance use treatment based on their individual needs and goals. Providers may benefit from guidance (via decision rules) for personalizing aspects of treatment, such as level-of-care (LOC) placements, like choosing between outpatient or inpatient care. The field lacks an empirically-supported foundation to inform the development of an adaptive LOC-placement protocol. This work begins to build the evidence base for adaptive protocols by estimating them from a large observational dataset. METHODS: We estimated two-stage LOC-placement protocols adapted to individual adolescent characteristics collected from the Global Appraisal of Individual Needs assessment tool (n = 10,131 adolescents). We used a modified version of Q-learning, a regression-based method for estimating personalized treatment rules over time, to estimate four protocols, each targeting a potentially distinct treatment goal: one primary outcome (a composite of ten positive treatment outcomes) and three secondary (substance frequency, substance problems, and emotional problems). We compared the adaptive protocols to non-adaptive protocols using an independent dataset. RESULTS: Intensive outpatient was recommended for all adolescents at intake for the primary outcome, while low-risk adolescents were recommended for no further treatment at followup while higher-risk patients were recommended to inpatient. Our adaptive protocols outperformed static protocols by an average of 0.4 standard deviations (95 % confidence interval 0.2-0.6) of the primary outcome. CONCLUSIONS: Adaptive protocols provide a simple one-to-one guide between adolescents' needs and recommended treatment which can be used as decision support for clinicians making LOC-placement decisions.

The effects of survey version on patient experience scores and plan rankings.

OBJECTIVE: To assess the effect of changing survey questions on plan-level patient experience measures and ratings. DATA SOURCE: 2015 Medicare Advantage CAHPS Survey respondents. STUDY DESIGN: Ninety three randomly selected beneficiaries in each of 40 MA plans received a revised (5.0) CAHPS survey; 38 832 beneficiaries received version 4.0. Linear mixed-effect regression predicted CAHPS measures from fixed effects for survey version and beneficiary characteristics and random effects for plan and plan-by-version random slope. PRINCIPAL FINDINGS: Response rates were 42 percent for both versions. Removal of "try to" from screeners increased the percentage of respondents eligible for follow-up questions. Version 5.0 caused a small increase (1-3 points on a 0-100 scale, P < 0.05) in the mean of three altered measures and a moderate increase (>3 points) in one. There was a small statistically significant increase in two unaltered measures. These changes were uniform across plans, so there would be no expected change compared to results using the legacy survey in the score distributions other than uniform mean shifts, and no expected effect on summary measures. CONCLUSIONS: These analyses illustrate how to assess the impact of seemingly minor survey modifications for other national surveys considering changes and highlight the importance of screeners in instrument design.

Differences in Consumer Assessment of Healthcare Providers and Systems Clinician and Group Survey Scores by Recency of the Last Visit: Implications for Comparability of Periodic and Continuous Sampling.

BACKGROUND: Patient experience data can be collected by sampling patients periodically (eg, patients with any visits over a 1-year period) or sampling visits continuously (eg, sampling any visit in a monthly interval). Continuous sampling likely yields a sample with more frequent and more recent visits, possibly affecting the comparability of data collected under the 2 approaches. OBJECTIVE: To explore differences in Consumer Assessment of Healthcare Providers and Systems Clinician and Group survey (CG-CAHPS) scores using periodic and continuous sampling. RESEARCH DESIGN: We use observational data to estimate case-mix-adjusted differences in patient experience scores under 12-month periodic sampling and simulated continuous sampling. SUBJECTS: A total of 29,254 adult patients responding to the CG-CAHPS survey regarding visits in the past 12 months to any of 480 physicians, 2007-2009. MEASURES: Overall doctor rating and 4 CG-CAHPS composite measures of patient experience: doctor communication, access to care, care coordination, and office staff. RESULTS: Compared with 12-month periodic sampling, simulated continuous sampling yielded patients with more recent visits (by definition), more frequent visits (92% of patients with 2+ visits, compared with 76%), and more positive case-mix-adjusted CAHPS scores (2-3 percentage points higher). CONCLUSIONS: Patients with more frequent visits reported markedly higher CG-CAHPS scores, but this causes only small to moderate changes in adjusted physician-level scores between 12-month periodic and continuous sampling schemes. Caution should be exercised in trending or comparing scores collected through different schemes.

Exploring Disparities in Influenza Immunization for Older Women.

OBJECTIVES: While women obtain most recommended preventive health interventions more often than men, evidence is mixed regarding influenza vaccination for older adults. Therefore, we evaluated sex differences in influenza vaccination among older adults. DESIGN: Nationally representative cross-sectional survey. SETTING: United States. PARTICIPANTS: A total of 1 252 705 adults, aged 65 years and older, responding to 2013 to 2017 Medicare Consumer Assessment of Healthcare Providers and Systems surveys. MEASUREMENTS: The dependent variable was Healthcare Effectiveness Data and Information Set self-reported influenza immunization. The primary predictor was sex. Covariates included general health status, education, race/ethnicity, and Medicare Advantage (MA; managed care) vs Fee-for-Service (FFS) coverage. RESULTS: After adjusting for health status and other sociodemographic factors, women's immunization was 2% lower than men's immunization in MA, with no significant overall sex difference in FFS. Women were immunized less often than men in 95% of MA health plans, with the largest gaps in low-immunizing plans. Further analyses revealed variation in sex differences by health status, education, and race/ethnicity in both MA and FFS. Notably in MA, women in poor health were immunized less often than men in similar health (-4%; P < .001). Black women were immunized much less often than black men in both MA and FFS (-5%; P < .001 for each). Hispanic women were immunized less often than Hispanic men in MA (-4%; P < .001) but not within FFS. CONCLUSION: Women in MA experience small disparities overall in influenza immunization, with larger disparities for black and Hispanic women. Providers and MA plans should increase efforts to recommend and monitor immunization for older women, especially black and Hispanic women and those in poor health. Given the potential to reduce morbidity and mortality, equitable access to a critical preventive health service, such as influenza immunization, is crucial for all older adults.

Medicare Beneficiaries With a Specialist as Their Personal Doctor Report Better Experiences With Care.

BACKGROUND: Health plans often require that patients have a personal doctor. Older adults rely on specialists for much of their care and may use a specialist in this role, but little is known about how many or which Medicare beneficiaries use specialists as their personal doctor and how their care experiences differ from others'. OBJECTIVE: To examine the prevalence and characteristics of Medicare beneficiaries with a specialist as a personal doctor and compare their patient experiences and immunization to other beneficiaries'. RESEARCH DESIGN: Logistic regression predicted having a specialist as a personal doctor from beneficiary characteristics. Doubly-robust models compared 7 patient experience and 2 immunization measures for beneficiaries with and without a specialist as their personal doctor. Interactions of a specialist indicator and beneficiary characteristics tested for moderators. STUDY POPULATION: A total of 227,642 Medicare beneficiaries aged 65+ who reported having a personal doctor on the 2014 Medicare CAHPS survey. RESULTS: In total, 20% of beneficiaries reported that their personal doctor was a specialist, fewer than previously reported for the most frequently visited physician (43%); beneficiaries who were older, less healthy, less educated, racial/ethnic minorities, had fee-for-service coverage, or had lower income were more likely to do so. They also reported better patient experiences than those with nonspecialist personal physicians on 6 of 7 measures and more immunizations; the largest difference was for care coordination. Having a specialist personal doctor was associated with particularly positive patient experience for low income, Black, Hispanic, and less healthy beneficiaries. CONCLUSION: Future research should investigate whether specialists as personal doctors may reduce patient-experience disparities for vulnerable patients.

An Integrated Approach to Measuring Sexual Orientation Disparities in Women's Access to Health Services: A National Health Interview Survey Application.

PURPOSE: The extent to which disparities affect all sexual minority women (SMW) versus specific subgroups of lesbian, bisexual, or other women remains unclear, in part due to inconsistent analysis of available data. We propose an integrated approach that aggregates subgroups to maximize power to detect broadly applicable disparities, then tests for subgroup heterogeneity, exercising caution with disaggregation when there is no direct evidence of heterogeneity. METHODS: Multivariate analyses of 2014-2015 National Health Interview Survey data examined six barriers to care. We compared heterosexual women (n = 36,474) with SMW (n = 1048) overall and tested for heterogeneous outcomes among subgroups of SMW compared with heterosexual women and with each other. RESULTS: Controlling for sociodemographics and health status, aggregated analyses showed that SMW were more likely than heterosexual peers to have trouble finding a provider (adjusted percentages 5.1% vs. 3.2%, p < 0.01) and no optimal usual place of care (14.5% vs. 11.2%, p < 0.01). There was no evidence of subgroup heterogeneity for either barrier, suggesting uniform disparities for SMW. In contrast, only lesbian/gay women were more likely than heterosexual women to be told their health insurance was not accepted (p = 0.03); this was the only outcome for which the adjusted difference between bisexual and lesbian/gay women was significant (2.8% vs. 6.3%, p = 0.02). CONCLUSION: Analyses that only disaggregated data would have understated overall sexual minority disparities and perhaps overstated subgroup differences; an integrated approach can more accurately characterize disparities experienced by all SMW versus those specific to certain subgroups. Large national surveys should include sexual orientation questions to support adequately powered comparisons.

Differences in Hospitalizations Between Fee-for-Service and Medicare Advantage Beneficiaries.

BACKGROUND: Previous studies found lower hospitalization rates for enrollees in Medicare Advantage (MA) plans than for beneficiaries with fee-for-service (FFS) coverage. MA enrollment is increasing, especially for those newly eligible for Medicare, but little is known about how service use in FFS or MA differs for new beneficiaries. OBJECTIVE: To compare differences in rates of hospitalization between MA and FFS. RESEARCH DESIGN: A retrospective study of hospitalization among FFS and MA respondents to the Medicare Consumer Assessment of Healthcare Providers and Systems (MCAHPS) survey. Differences in hospitalization rates were assessed using multivariable logistic regression models that controlled for patient sociodemographic and health characteristics. Models included an interaction between age and coverage type to determine whether patterns of care were distinct for enrollees recently eligible for Medicare. STUDY POPULATION: In total, 259,335 respondents to the 2013 MCAHPS survey. RESULTS: In total, 14% of FFS and 12% of MA enrollees had ≥1 hospitalization in the 6 months before survey administration. Models adjusted for enrollee demographics found that MA enrollees had 0.81 the odds of being hospitalized relative to those with FFS coverage (95% confidence interval, 0.78-0.84). Differences between groups were substantially reduced and no longer statistically significant when they were fully adjusted (adjusted odds ratio 1.01, 95% confidence interval, 0.97-1.08). Models with interactions indicated no significant age differences in the MA/FFS hospitalization gap. CONCLUSION: Differences in hospital admissions between those with MA and FFS coverage appear to be primarily related to differences in health status.

Geographic context of black-white disparities in Medicare CAHPS patient experience measures.

OBJECTIVE: To examine whether black-white patient experience disparities vary by geography and within-county contextual factors. DATA SOURCES: 321 300 Medicare beneficiaries responding to the 2015-2016 Medicare Consumer Assessment of Health care Providers and Systems (MCAHPS) Surveys; 2010 Census data for several within-county contextual factors. STUDY DESIGN: Mixed-effects regression models predicted three MCAHPS patient experience measures for black and white beneficiaries from geographic random effects, contextual fixed effects, and beneficiary-level case-mix adjustors. PRINCIPAL FINDINGS: Black-white disparities in patient experiences were smaller in counties with higher average patient experiences. Black-white disparities in patient experiences were not associated with county-level poverty or racial segregation. However, county racial segregation and some measures of poverty were significantly associated with all beneficiaries' level of health care access. Getting Needed Care scores were higher with greater racial segregation, while Getting Care Quickly scores were lower with higher poverty and racial segregation. CONCLUSIONS: Efforts to reduce black-white disparities in patient experiences should focus on areas with low average patient experiences. Attempts to reduce disparities in timely access to health care should target primarily black, low-income, and racially and economically segregated areas. Positive associations of racial segregation with accessing needed care were unexpected.

Hospital-Based Quality Measures for Pediatric Mental Health Care.

BACKGROUND AND OBJECTIVES: Patients with a primary mental health condition account for nearly 10% of pediatric hospitalizations nationally, but little is known about the quality of care provided for them in hospital settings. Our objective was to develop and test medical record-based measures used to assess quality of pediatric mental health care in the emergency department (ED) and inpatient settings. METHODS: We drafted an evidence-based set of pediatric mental health care quality measures for the ED and inpatient settings. We used the modified Delphi method to prioritize measures; 2 ED and 6 inpatient measures were operationalized and field-tested in 2 community and 3 children's hospitals. Eligible patients were 5 to 19 years old and diagnosed with psychosis, suicidality, or substance use from January 2012 to December 2013. We used bivariate and multivariate models to examine measure performance by patient characteristics and by hospital. RESULTS: Eight hundred and seventeen records were abstracted with primary diagnoses of suicidality (n = 446), psychosis (n = 321), and substance use (n = 50). Performance varied across measures. Among patients with suicidality, male patients (adjusted odds ratio: 0.27, P < .001) and African American patients (adjusted odds ratio: 0.31, P = .02) were less likely to have documentation of caregiver counseling on lethal means restriction. Among admitted suicidal patients, 27% had documentation of communication with an outside provider, with variation across hospitals (0%-38%; P < .001). There was low overall performance on screening for comorbid substance abuse in ED patients with psychosis (mean: 30.3). CONCLUSIONS: These new pediatric mental health care quality measures were used to identify sex and race disparities and substantial hospital variation. These measures may be useful for assessing and improving hospital-based pediatric mental health care quality.

Quality of Care for Children With Medical Complexity: An Analysis of Continuity of Care as a Potential Quality Indicator.

OBJECTIVE: To examine the relationship between continuity of care for children with medical complexity (CMC) and emergency department (ED) utilization, care coordination quality, and family effects related to care coordination. METHODS: We measured ED utilization and primary care continuity with the Bice-Boxerman continuity of care index for 1477 CMC using administrative data from Minnesota and Washington state Medicaid agencies. For a subset of 186 of these CMC a caregiver survey was used to measure care coordination quality (using items adapted from the Consumer Assessment of Healthcare Providers and System Adult Health Plan Survey) and family impact (using items adapted from the National Survey of Children with Special Health Care Needs). Multivariable regression was used to examine the relationship between continuity, entered as a continuous variable ranging from 0 to 1, and the outcomes. RESULTS: The median continuity was 0.27 (interquartile range [IQR], 0.12-0.48) in the administrative data cohort and 0.27 (IQR, 0.14-0.43) in the survey cohort. Compared with children with a continuity score of 0, children with a score of 1 had lower odds of having ≥1 ED visit (odds ratio, 0.65; 95% confidence interval [CI], 0.46-0.93; P = .017) and their caregivers reported higher scores for the measure of receipt of care coordination (ß = 35.2 on a 0-100 scale; 95% CI, 11.5-58.9; P = .004). There was no association between continuity and family impact. CONCLUSIONS: Continuity of care holds promise as a quality measure for CMC because of its association with lower ED utilization and more frequent receipt of care coordination.

Validation of New Care Coordination Quality Measures for Children with Medical Complexity.

OBJECTIVES: To validate new caregiver-reported quality measures assessing care coordination services for children with medical complexity (CMC). METHODS: A cross-sectional analysis of the associations between 20 newly developed Family Experiences with Coordination of Care (FECC) quality measures and 3 validation measures among 1209 caregivers who responded to a telephone or mailed survey from August to November 2013 in Minnesota and Washington. Validation measures included an access composite, a provider rating item, and a care coordination outcome measure, all derived from Consumer Assessments of Healthcare Providers and Systems (CAHPS) survey items. Multivariate regression was used to examine associations between the 3 validation measures and each of the 20 FECC quality measures. RESULTS: Nineteen of the 20 FECC quality measures were significantly and positively associated with ≥1 of the validation measures. The components of care coordination demonstrating the strongest positive association with provider ratings included: 1) having a care coordinator who was knowledgeable and supportive and advocated for the child's needs (ß = 26.4; 95% confidence interval [CI], 20.0-32.8, scaled to reflect change associated with a 0-100 change in the FECC measure score); and 2) receiving a written visit summary that was useful and easy to understand (ß = 22.0; 95% CI, 17.1-27.0). CONCLUSIONS: Nineteen newly developed FECC quality measures demonstrated convergent validity with previously validated CAHPS measures. These new measures are valid for assessing the quality of care coordination services provided to CMC and may be useful for evaluating new models of care focused on improving these services.

Care Experiences Among Medicare Beneficiaries With and Without a Personal Physician.

BACKGROUND: Having a "personal" physician is a critical element to care continuity. Little is known about which older adults are more likely to lack personal physicians and if their care experiences differ from those with a personal physician. OBJECTIVE: The objective of this study was to describe care experiences and characteristics associated with not having a personal physician. RESEARCH DESIGN: We compare rates of lacking a personal physician across subgroups. Using doubly robust propensity-score-weighted regression, we compare patient experience among beneficiaries with and without a personal physician. SUBJECTS: A total of 272,463 nationally representative beneficiaries age 65+ responding to the 2012 Medicare CAHPS survey. MEASURES: Beneficiary characteristics, having a personal physician, 4 patient experience measures. RESULTS: Five percent of respondents reported no personal physician. Lacking a personal physician was more common for men, racial/ethnic minorities (eg, 16% of American Indian/Alaska Natives), and the younger and less educated. Those without a personal physician reported substantially poorer experiences on 4 measures (P<0.001); these differences are larger than those observed by key demographic characteristics. Beneficiaries without a personal physician were more than 3 times as likely to have not seen any health care provider in the last 6 months. CONCLUSIONS: Even with the access provided by Medicare, a small but nontrivial proportion of seniors report having no personal physician. Those without a personal physician report substantially worse patient experiences and lacking a personal physician is more common for some vulnerable groups. This may underlie some previously observed disparities. Efforts should be made to encourage and help seniors without personal physicians to select one.