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ObjectiveAssessing functional limitations for adults at high risk of frailty yields valuable information for identifying those in need of therapy. We evaluate a self-report measure used to assess physical function among Medicare recipients in the United States.DesignSecondary analysis of the 2020 Medicare Health Outcomes Survey.SettingA random sample of adult enrollees of 510 managed care plans.Participants287,476 adults (37% completion rate): 58% women; 16% were

Patient experience is a key aspect of care quality. Since the 2007 release of the Consumer Assessment of Healthcare Providers and Systems Clinician and Group (CG-CAHPS) survey, no systematic review of factors associated with CG-CAHPS scores has been reported. We reviewed 52 peer-reviewed English language articles published in the United States using CG-CAHPS data. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines and used the Checklist for Analytical Cross-Sectional Studies. We identified several interventions (eg, adding a care coordinator focused on chronic care management) associated with improved overall provider rating and 2 interventions (eg, peer shadow coaching) that improved provider communication scores. Studies evaluating the implementation of patient-centered medical homes or patient-reported outcomes found mixed results. We identified site-level factors (eg, better team communication) and provider-level factors (eg, physician empathy) associated with better patient experience. In contrast, patient-level factors (eg, medication adherence) found mixed associations with patient experience. Policymakers, clinicians, and healthcare leaders can leverage this evidence for quality improvement efforts and interventions supporting patient-centered care.

The objective was to examine the associations of socioecological connectedness with bullying victimization and depressive symptoms in early adolescence and with non-suicidal self-injury (NSSI) in mid-adolescence, and how these might differ between genders. Diverse adolescents (N = 4115; 49.1% girls) in the 7th grade reported on connections with parents/family, peers, school, and neighborhood, as well as bullying victimization and depressive symptoms, and NSSI in 10th grade (Me = 16.1 years). Structural equation modeling with WSLMV indicated that the lower likelihood of NSSI in 10th grade was associated with higher perceptions of connections between adolescents and their families, both directly as well as indirectly through reduced bully victimization and depressive symptoms three years earlier. Higher school connectedness was indirectly associated with the lower likelihood of NSSI through bullying victimization and depressive symptoms. Paths to NSSI varied for girls and boys. Results advance the understanding of developmental pathways leading to NSSI in adolescent girls and boys.

Abstract: The Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS®) surveys collect standardized information about patient experiences of care from nationally representative samples of people with Medicare to support consumers’ enrollment choices and enable the Centers for Medicare & Medicaid Services to monitor care quality and incentivize high quality patient-centered care. Since 2007, protocols for data collection, analysis, and reporting have evolved to address expanded Medicare coverage options and a shift from a single survey vendor to a model in which health plans hire approved vendors to administer the survey. During that time, response rates for all types of surveys have declined; increasing effort has gone toward increasing survey participation, especially among people whose preferred language is not English. In this paper, we describe the history, goals, and current use of the Medicare CAHPS surveys. We also summarize key methodological issues, such as sample design, field implementation and data cleaning, adjustment, scoring, and report production. Additionally, we discuss issues that may arise more generally in managing a large, annual national survey that has direct impact on policy, and consider how a long-running survey of this nature may need to evolve to reflect changes in health care delivery and promote standardization in survey administration while maintaining survey content.

BackgroundOpen-ended questions eliciting free-text comments have been widely adopted in surveys of patient experience. Analysis of free text comments can provide deeper or new insight, identify areas for action, and initiate further investigation. Also, they may be a promising way to progress from documentation of patient experience to achieving quality improvement. The usual methods of analyzing free-text comments are known to be time and resource intensive. To efficiently deal with a large amount of free-text, new methods of rapidly summarizing and characterizing the text are being explored. ObjectiveThe aim of this study was to investigate the feasibility of using freely available Web-based text processing tools (text clouds, distinctive word extraction, key words in context) for extracting useful information from large amounts of free-text commentary about patient experience, as an alternative to more resource intensive analytic methods. MethodsWe collected free-text responses to a broad, open-ended question on patients’ experience of primary care in a cross-sectional postal survey of patients recently consulting doctors in 25 English general practices. We encoded the responses to text files which were then uploaded to three Web-based textual processing tools. The tools we used were two text cloud creators: TagCrowd for unigrams, and Many Eyes for bigrams; and Voyant Tools, a Web-based reading tool that can extract distinctive words and perform Keyword in Context (KWIC) analysis. The association of patients’ experience scores with the occurrence of certain words was tested with logistic regression analysis. KWIC analysis was also performed to gain insight into the use of a significant word. ResultsIn total, 3426 free-text responses were received from 7721 patients (comment rate: 44.4%). The five most frequent words in the patients’ comments were “doctor”, “appointment”, “surgery”, “practice”, and “time”. The three most frequent two-word combinations were “reception staff”, “excellent service”, and “two weeks”. The regression analysis showed that the occurrence of the word “excellent” in the comments was significantly associated with a better patient experience (OR=1.96, 95%CI=1.63-2.34), while “rude” was significantly associated with a worse experience (OR=0.53, 95%CI=0.46-0.60). The KWIC results revealed that 49 of the 78 (63%) occurrences of the word “rude” in the comments were related to receptionists and 17(22%) were related to doctors. ConclusionsWeb-based text processing tools can extract useful information from free-text comments and the output may serve as a springboard for further investigation. Text clouds, distinctive words extraction and KWIC analysis show promise in quick evaluation of unstructured patient feedback. The results are easily understandable, but may require further probing such as KWIC analysis to establish the context. Future research should explore whether more sophisticated methods of textual analysis (eg, sentiment analysis, natural language processing) could add additional levels of understanding.

BackgroundShadow coaching, a type of one-on-one provider counseling by trained peers, is an effective strategy for improving provider behaviors and patient interactions, but its effects on improving patient experience for English- and Spanish-preferring patients is unknown.ObjectiveAssess effects of shadow coaching on patient experience for English- and for Spanish-preferring patients.DesignWe analyzed 2012-2019 Clinician and Group Consumer Assessment of Healthcare Providers and Systems (CG-CAHPS) data (n=46,089) from an urban Federally Qualified Health Center with 44 primary care practices and 320 providers. One-third (n=14,631) were Spanish-preferring patients. We fit mixed-effects regression models with random effects for provider (the level of treatment assignment) and fixed effects for time (a linear spline for time with a knot and "jump" at coaching date), patient characteristics, and site indicators, stratified by preferred language.ParticipantsThe 74 providers who had a 6-month average top-box score on the CAHPS overall provider rating below 90 (on a 100-point scale) were shadow coached. Similar percentages of English-preferring (45%) and Spanish-preferring patients (43%) were seen by coached providers.InterventionTrained providers observed patient care by colleagues and provided suggestions for improvement. Verbal feedback was provided immediately after the observation and the participant received a written report summarizing the comments and recommendations from the coaching session.Main measuresCG-CAHPS Visit Survey 2.0 provider communication composite and overall provider rating (0-100 scoring).Key resultsWe found a statistically significant 2-point (small) jump in CAHPS provider communication and overall provider rating among English-preferring patients of coached providers. There was no evidence of a coaching effect on patient experience for Spanish-preferring patients.ConclusionsCoaching improved care experiences for English-preferring patients but may not have improved patient experience for Spanish-preferring patients. Selection and training of providers to communicate effectively with Spanish-preferring patients is needed to extend the benefits of shadow coaching to Spanish-preferring patients.

IntroductionShadow coaching improves provider-patient interactions, as measured by CG-CAHPS® overall provider rating (OPR) and provider communication (PC). However, these improvements erode over time.AimExamine whether a second coaching session (re-coaching) improves and sustains patient experience.SettingLarge, urban Federally Qualified Health Center PROGRAM: Trained providers observed patient care by colleagues and provided suggestions for improvement. Providers with OPRs

BackgroundData from surveys of patient care experiences are a cornerstone of public reporting and pay-for-performance initiatives. Recently, increasing concerns have been raised about survey response rates and how to promote equity by ensuring that responses represent the perspectives of all patients.ObjectiveReview evidence on survey administration strategies to improve response rates and representativeness of patient surveys.Research designSystematic review adhering to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.Study selectionForty peer-reviewed randomized experiments of administration protocols for patient experience surveys.ResultsMail administration with telephone follow-up provides a median response rate benefit of 13% compared with mail-only or telephone-only. While surveys administered only by web typically result in lower response rates than those administered by mail or telephone (median difference in response rate: -21%, range: -44%, 0%), the limited evidence for a sequential web-mail-telephone mode suggests a potential response rate benefit over sequential mail-telephone (median: 4%, range: 2%, 5%). Telephone-only and sequential mixed modes including telephone may yield better representation across patient subgroups by age, insurance type, and race/ethnicity. Monetary incentives are associated with large increases in response rates (median increase: 12%, range: 7%, 20%).ConclusionsSequential mixed-mode administration yields higher patient survey response rates than a single mode. Including telephone in sequential mixed-mode administration improves response among those with historically lower response rates; including web in mixed-mode administration may increase response at lower cost. Other promising strategies to improve response rates include in-person survey administration during hospital discharge, incentives, minimizing survey language complexity, and prenotification before survey administration.

ObjectivesTo 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 designCross-sectional analysis of data from the 2018 Medicare Consumer Assessment of Healthcare Providers and Systems survey.MethodsLogistic 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.ResultsOverall, 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

ObjectivesTo (1) develop a survey to assess the patient experience of care in hospital-based emergency departments (ED) and (2) evaluate the reliability and validity of composite measures of patient experience using data collected through the experimental implementation of the newly developed Emergency Department Patient Experience of Care (EDPEC) Discharged to Community (DTC) Survey.Data source4893 adult patients were treated in the ED of 16 hospitals across the United States in 2018.Study designThe study utilized a cross-sectional survey.Data collectionSurvey development activities included a literature review, focus groups, and cognitive interviews with recently discharged ED patients, technical expert panels, and multiple field experiments. Survey development resulted in a 34-item instrument; the analysis reported here focuses on 18 items on patient experience of care. Using data from the EDPEC DTC Survey in the 2018 Feasibility Test, we performed confirmatory factor analysis to group 15 evaluative survey items into composite measures. We examined internal consistency reliability, interunit reliability, and associations between each composite measure and patients' overall rating and willingness to recommend the ED.Principal findingsAnalyses of 15 evaluative items identified four composite measures: Getting Timely Care, How Well Doctors and Nurses Communicate, Communication about Medications, and Communication about Follow-up. Patient-level internal consistency reliability exceeded 0.75 for two of four composites; ED-level internal consistency reliability exceeded 0.83 for all four composites. Interunit reliability estimates indicated that 450 survey completes per ED results in at least 0.70 reliability for all composites. Higher scores on each composite were associated with higher overall ratings and willingness to recommend the ED.ConclusionsThe composite measures derived from the EDPEC DTC Survey are statistically reliable and valid. These results provide guidance for EDPEC DTC Survey adopters on how to construct meaningful and psychometrically-sound composite measures for monitoring the quality of care they provide.

BackgroundPrior studies using aggregated data suggest that better care coordination is associated with higher performance on measures of clinical care process; it is unclear whether this relationship reflects care coordination activities of health plans or physician practices.ObjectiveEstimate within-plan relationships between beneficiary-reported care coordination measures and HEDIS measures of clinical process for the same individuals.DesignMixed-effect regression models in cross-sectional data.Participants2013 Medicare Advantage CAHPS respondents (n=152,069) with care coordination items linked to independently collected HEDIS data on clinical processes.Main measuresCare coordination measures assessed follow-up, whether doctors had medical records during visits, whether doctors discussed medicines being taken, how informed doctors seemed about specialist care, and help received with managing care among different providers. HEDIS measures included mammography, colorectal cancer screening, cardiovascular LDL-C screening, controlling blood pressure, 5 diabetes care measures (LDL-C screening, retinal eye exam, nephropathy, blood sugar/HbA1c

BackgroundHealth care organizations strive to improve patient care experiences. Some use one-on-one provider counseling (shadow coaching) to identify and target modifiable provider behaviors.ObjectiveWe examined whether shadow coaching improves patient experience across 44 primary care practices in a large urban Federally Qualified Health Center.Research designSeventy-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.SubjectsA 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.MeasuresCAHPS overall provider rating and provider communication composite (scaled 0-100).ResultsProviders 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.ConclusionsShadow 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.

ObjectivesKnowing which patient-centered medical home (PCMH) care delivery changes and quality improvement (QI) practices further PCMH implementation is essential.Study designWe used the 2008-2017 National Committee of Quality Assurance (NCQA) PCMH directory of 15,188 primary care practices that received Level 1, 2, or 3 NCQA PCMH recognition to construct a stratified national sample of 105 practices engaged in PCMH transformation. We examined their QI practices and PCMH changes associated with PCMH transformation.MethodsWe derived QI practice and PCMH change variables from semistructured interviews. Practice leaders completed the PCMH Assessment (PCMH-A) measuring the practice's degree of PCMH implementation, which is a proxy for patient-centeredness. Controlling for practice characteristics, we regressed PCMH-A scores on QI practice and PCMH change variables.ResultsPractices undergoing PCMH transformation nationwide most commonly made care delivery changes in access and continuity of care. To improve quality, practices most commonly engaged in discussing and targeting areas of patient experience improvement, trending performance, and conducting targeted QI. However, practices lower in patient-centeredness as measured by the PCMH-A were more likely to engage in efforts to improve patient experiences, such as reviewing patient experience data or engaging in 1-on-1 provider counseling related to patient interactions. Mature PCMH practices focused on changes in continuity of care.ConclusionsPractices undertake a wide variety of care delivery changes and QI practices simultaneously to meet PCMH requirements. The patient experience-specific QI practices and PCMH care delivery changes that practices make to improve patient-centeredness differ by years of PCMH recognition.

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.

BackgroundPatient surveys are the primary tool to measure patient experiences of care. Caution must be taken when analyzing these data, as responses can be influenced by factors that do not reflect the quality of care received.ObjectivesTo provide a practical overview of adjusting patient experience survey results to address bias related to patient case-mix, extreme response tendency, and mode of survey administration.Research designWe discuss options for adjustment for biases in how people respond to patient experience surveys.ResultsCase-mix adjustment (CMA) aims to compare provider performance that would have been observed if all providers had treated the same set of patients by removing the effects of patient characteristics that vary across providers. Extreme response tendency can bias the measurement of the disparities in patient experiences even after typical CMAs, since differences in patients' use of extreme response options may affect patient experience scores when they have a skewed distribution. Survey mode may affect scores for the provider entity being evaluated (eg, hospital) more than CMA if survey mode differs at the provider level.ConclusionsIt is best practice to evaluate known source of bias when analyzing patient experience surveys. Failure to adjust for patient case-mix, extreme response tendency, and survey mode in patient experience surveys may lead to erroneous comparisons of providers.

Dual-process theories may be effective at predicting adolescent smoking; however, little is known about the effectiveness of these models across race/ethnicity and gender. Adolescents (N = 4035) completed biopsychosocial and tobacco-related perception measures in Grade 7 and reported on smoking initiation in Grade 10. Using structural equation modeling and comparing models by gender and race/ethnicity showed differences, where both intentions and willingness predicted smoking initiation for only Black and male adolescents, compared to their Latino and White and female counterparts. Intentions and willingness appear to play a role in whether an adolescent will initiate smoking in the future, but this does not apply universally across gender and race/ethnicity.

PurposeStressful life events (SLEs) increase allostatic load and require adaptation. Experiencing SLEs has been associated with decreased health-related quality of life (HRQOL) among adolescents. This study examined racial/ethnic and developmental differences in the relationship between SLEs and HRQOL from preadolescence to midadolescence.MethodsData were from 4,824 participants in the Healthy Passages project, a population-based prospective longitudinal survey of fifth, seventh, and 10th grade adolescents in the U.S. HRQOL was measured with Pediatric Quality of Life Inventory and SLEs with items addressing family-related SLEs (e.g., the parent's death, separation, and divorce; family member's injury/illness; residential change; new child in the household).ResultsAdolescents, regardless of race/ethnicity, reported the highest SLEs and the lowest HRQOL in early adolescence. Analysis of an autoregressive model with cross-lagged effects showed that the concurrent relationships between SLEs and HRQOL were significantly negative across preadolescence, early adolescence, and midadolescence in African-American, Latinx, and white groups. Furthermore, adolescents had a negative cross-lagged association from SLEs in early adolescence to HRQOL in pre adolescence, but this was not the case among the other racial/ethnic groups.ConclusionsBecause the negative relationship between family-related SLEs and HRQOL persisted throughout stages of adolescent development, health services targeting adolescents should provide comprehensive family-centered care to alleviate the impact of family-related life stress. Relationships between family life stress and HRQOL varied by racial/ethnic groups, which should be considered by health professionals, teachers, and parents, and in prevention efforts. Latinx adolescents may be particularly vulnerable to time-lagged effects of such family-related stress.

PurposeSchool social capital incorporates the intangible prosocial resources from social networks, including expectations and social norms, found in a school environment. School social capital may influence health behaviors such as smoking. This study examined the association of school social capital with smoking behaviors from childhood into adolescence.MethodsWe used a cohort sampled from three U.S. cities for the Healthy Passages Longitudinal Study of Adolescent Health. The primary outcome was cigarette smoking at grade 10 (Wave 3). The primary predictor of interest was school social capital at grade 5 (Wave 1). We included potential covariates at the individual, school, and neighborhood levels at Wave 1. To account for simultaneous clustering in schools and neighborhoods, cross-classified multilevel models were used.ResultsAfter exclusions and imputations for missing variables, our final sample contained 3,968 students as constituents of 118 schools and 479 neighborhoods. With adjustment for the covariates, school social capital for grade 5 was negatively associated with cigarette smoking in grade 10. We estimated that a 1 standard deviation increase in the school average social capital for grade 5 is associated with an odds ratio of .86 (95% credible interval: .75-.98) for school-level smoking in grade 10.ConclusionsThis study suggests that school social capital in late elementary years is associated with reduced smoking behaviors among adolescents in the U.S. Influencing school social capital through enrichment of positive social norms and parent/teacher expectations may be a useful strategy to reduce adolescent smoking, with long-term implications for adult health.

BackgroundPatient 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.ObjectiveTo explore differences in Consumer Assessment of Healthcare Providers and Systems Clinician and Group survey (CG-CAHPS) scores using periodic and continuous sampling.Research designWe use observational data to estimate case-mix-adjusted differences in patient experience scores under 12-month periodic sampling and simulated continuous sampling.SubjectsA 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.MeasuresOverall doctor rating and 4 CG-CAHPS composite measures of patient experience: doctor communication, access to care, care coordination, and office staff.ResultsCompared 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).ConclusionsPatients 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.

ObjectiveTo assess the effect of changing survey questions on plan-level patient experience measures and ratings.Data source2015 Medicare Advantage CAHPS Survey respondents.Study designNinety 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 findingsResponse 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 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.ConclusionsThese 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.

PurposeTo examine (1) racial/ethnic disparities in health-related quality of life (HRQOL) and overall health status among Black, Latino, and White youth during adolescence; (2) whether socioeconomic status (SES) and family contextual variables influence disparities; and (3) whether disparities are consistent from pre- to early- to mid-adolescence.MethodsA population sample of 4823 Black (1755), Latino (1812), and White (1256) youth in three US metropolitan areas was prospectively assessed in a longitudinal survey conducted on three occasions, in 5th, 7th, and 10th grades, when youth reported their HRQOL using the PedsQL™ short-form Total, Physical and Psychosocial scales and youth and parents separately reported on youth's overall health status. Parents reported their education and household income to index SES, family structure, and use of English at home.ResultsBased on analysis conducted separately at each grade, marked racial/ethnic disparities were observed across all measures of HRQOL and health status, favoring White and disfavoring Black, and especially Latino youth. More strongly present in 5th and 7th grade, HRQOL disparities decreased by 10th grade. Most disparities between White and Black youth disappeared when adjusting for SES. However, even after adjusting for SES, family structure, and English use, overall health status disparities disfavoring Latino youth remained across all three assessments.ConclusionsRacial/ethnic disparities in adolescent HRQOL and health are substantial. These disparities appear consistent from pre- to early-adolescence but diminish for HRQOL by mid-adolescence. As disparities appear influenced by SES and other family contextual variables differently in different racial/ethnic groups, efforts to reduce health disparities in youth should address culturally specific conditions impinging on health.

ObjectiveTo evaluate the dimensionality of hospital quality indicators treated as unidimensional in a prior publication.Data source/study designPooled cross-sectional 2010-2011 Hospital Compare data (10/1/10 and 10/1/11 archives) and the 2012 American Hospital Association Annual Survey.Data extractionWe used 71 indicators of structure, process, and outcomes of hospital care in a principal component analysis of Ridit scores to evaluate the dimensionality of the indicators. We conducted an exploratory factor analysis using only the indicators in the Centers for Medicare & Medicaid Services' Hospital Value-Based Purchasing.Principal findingsThere were four underlying dimensions of hospital quality: patient experience, mortality, and two clinical process dimensions.ConclusionsHospital quality should be measured using a variety of indicators reflecting different dimensions of quality. Treating hospital quality as unidimensional leads to erroneous conclusions about the performance of different hospitals.

ObjectiveSpanish-preferring Medicare beneficiaries are underrepresented in national patient experience surveys. We test a method for improving their representation via higher response rates.Data sources/study setting2009-2010 Medicare CAHPS surveys; Medicare population.Study designWe used surname and address to predict Spanish-language preference for a national sample of 177 139 beneficiaries. We randomized half of the 10 000 non-Puerto Rico beneficiaries with the highest predicted probabilities of Spanish preference (>10 percent) to bilingual mailings (intervention) and half to standard English-only mailings (control).Data collectionMedicare CAHPS Survey data were collected through mail surveys with telephone follow-up of nonrespondents.Principal findingsMail response rate was higher for intervention (28.7 percent) than control (23.9 percent) (P

ObjectiveThis study examined how parental general monitoring (PGM), which refers to parental awareness of adolescents' activities in various domains, is associated with adolescents' weight status and related behaviors and whether these relationships differ among racial/ethnic groups.MethodsData are from 4,088 Black, Latino, and White youth assessed in seventh grade (mean age = 13.06). BMI percentile based on measured height and weight indicated weight status. PGM was assessed by adolescent report of parents' awareness of money spending, friends, and whereabouts. Adolescents reported both healthy and unhealthy dietary intake (DI), physical activity, and screen time over the past 7 days. Total sample and multigroup structural models were estimated.ResultsPGM was associated with lower weight status for the total sample, as well as being positively associated with healthy DI and physical activity and inversely associated with screen time across racial/ethnic groups. PGM was also inversely associated with unhealthy DI, except for in Black adolescents. There was an indirect effect from PGM to lower weight status via reduced screen time among Latino and White adolescents.ConclusionsPositive outcomes associated with PGM are extended to weight status and related behaviors. Efforts at improving weight status and related behaviors could benefit from addressing general parenting practices with their children.

BackgroundResearch suggests that an immigrant paradox exists where those who were not born in the United States (1st generation) have significantly better health than those who were born in the U.S. (2nd generation or more). The aim of the current study was to examine the immigrant paradox with respect to tobacco-related perceptions and parenting influences in smoking initiation among Latinx adolescents.MethodsData came from the 7th and 10th grade Healthy Passages™ assessments of Latinx participants in three U.S. urban areas (N = 1536) who were first (18%), second (60%), and third (22%) generation. In addition to demographics, measures included perceived cigarette availability and peer smoking, intentions and willingness to smoke, and general monitoring by parents. Parents reported on generational status and their own tobacco use. The primary outcome was participant's reported use of cigarettes.ResultsBy 10th grade, 31% of Latinx youth had tried a cigarette, compared to 8% in 7th grade. After controlling for age, gender, and socioeconomic status, regression analyses indicated that there were no significant differences related to generational status in cigarette smoking initiation in either 7th or 10th grade. Youth tobacco-related perceptions, general parental monitoring, and parental tobacco use predicted Latinx adolescent cigarette use initiation by 10th grade.ConclusionsLatinx adolescents might not have deferential smoking rates based on generation status, suggesting that the immigrant paradox concept may not hold for smoking initiation among Latinx adolescents. Rather, factors influencing cigarette initiation generally in adolescents as a group appear to apply to Latinxs as well.

Patient experience is a key aspect of care quality. Since the 2007 release of the Consumer Assessment of Healthcare Providers and Systems Clinician and Group (CG-CAHPS) survey, no systematic review of factors associated with CG-CAHPS scores has been reported. We reviewed 52 peer-reviewed English language articles published in the United States using CG-CAHPS data. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines and used the Checklist for Analytical Cross-Sectional Studies. We identified several interventions (eg, adding a care coordinator focused on chronic care management) associated with improved overall provider rating and 2 interventions (eg, peer shadow coaching) that improved provider communication scores. Studies evaluating the implementation of patient-centered medical homes or patient-reported outcomes found mixed results. We identified site-level factors (eg, better team communication) and provider-level factors (eg, physician empathy) associated with better patient experience. In contrast, patient-level factors (eg, medication adherence) found mixed associations with patient experience. Policymakers, clinicians, and healthcare leaders can leverage this evidence for quality improvement efforts and interventions supporting patient-centered care. [ABSTRACT FROM AUTHOR]

This research letter examines the access to personal physicians among older adults enrolled in Medicare Advantage (MA) and Medicare Fee-for-Service (FFS) plans, with a focus on preferred language. The study found that MA enrollees were more likely to have a personal physician compared to FFS enrollees. Additionally, Spanish-speaking respondents were less likely to have a personal physician, but the analysis did not include Puerto Rico residents. The study suggests that MA enrollment may be associated with greater access to personal physicians for Spanish-speaking individuals. Further research is needed to understand the impact of these findings on healthcare disparities. [Extracted from the article]