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BACKGROUND: Physical function is an important indicator of physical health and predicts mortality. This study identified characteristics associated with limitations in Medicare recipients' activities of daily living. METHODS: 2019 Consumer Assessment of Healthcare Providers and Systems Fee-for-Service Medicare Survey data: 79,725 respondents (34% response rate) who were 65 and older and 53% female; 7% Black, 5% Hispanic, 4% Asian American, Native Hawaiian, or other Pacific Islander, 2% Multiracial, 1% American Indian/Alaskan Native; 35% with high school education or less. Walking, getting in and out of chairs, bathing, dressing, toileting, and eating (scored as having no difficulty versus being able to do with difficulty or unable to do) and a scale of these items were regressed on patient characteristics. RESULTS: After adjustment for all characteristics, function limitations were found for those who smoked (effect sizes of significant associations range .04-.13), had chronic health conditions (.02-.33), were 85 years or older (.09-.46), needed assistance completing the survey (.32-1.29), were female (.05-.07), and had low income and assets (.15-.47). CONCLUSIONS: These nationally representative U.S. estimates of physical function characteristics are useful for interventions for vulnerable population subgroups.
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Actividades Cotidianas , Planes de Aranceles por Servicios , Medicare , Autoinforme , Humanos , Femenino , Masculino , Estados Unidos/epidemiología , Anciano , Anciano de 80 o más AñosRESUMEN
BACKGROUND: Low response rates (RRs) can affect hospitals' data collection costs for patient experience surveys and value-based purchasing eligibility. Most hospitals use single-mode approaches, even though sequential mixed mode (MM) yields higher RRs and perhaps better patient representativeness. Some hospitals may be reluctant to incur MM's potential additional cost and complexity without knowing how much RRs would increase. OBJECTIVE: The aim of this study was to estimate the differences in RR and patient representation between MM and single-mode approaches and to identify hospital characteristics associated with the largest RR differences from MM of single-mode protocols (mail-only, phone-only). RESEARCH DESIGN: Patients were randomized within hospitals to one of 3 modes (mail-only, phone-only, MM). SUBJECTS: A total of 17,415 patients from the 51 nationally representative US hospitals participating in a randomized HCAHPS mode experiment. RESULTS: Mail-only RRs were lowest for ages 18-24 (7%) and highest for ages 65+ (31%-35%). Phone-only RRs were 24% for ages 18-24, increasing to 37%-40% by ages 55+. MM RRs were 28% for ages 18-24, increasing to 50%-60% by ages 65-84. Lower hospital-level mail-only RRs strongly predicted greater gains from MM. For example, a hospital with a 15% mail-only RR has a predicted MM RR >40% (with >25% occurring in telephone follow-up). CONCLUSION: MM increased representation of hard-to-reach (especially young adult) patients and hospital RRs in all mode experiment hospitals, especially in hospitals with low mail-only RRs.
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Hospitales , Humanos , Persona de Mediana Edad , Adulto , Anciano , Adolescente , Femenino , Masculino , Estados Unidos , Adulto Joven , Hospitales/estadística & datos numéricos , Servicios Postales , Teléfono , Satisfacción del Paciente , Factores de Edad , Recolección de Datos/métodosRESUMEN
OBJECTIVES: To examine characteristics of Medicare Advantage (MA) enrollees who use their plan's customer service to help plans understand how to better meet members' needs. STUDY DESIGN: National sample of 259,533 respondents to MA Consumer Assessment of Healthcare Providers and Systems survey enrolled in any of the 559 MA contracts in 2022. METHODS: We assessed the association between self-reported customer service use in the prior 6 months and enrollee demographic, coverage, health, and health care utilization characteristics. We used weighted linear regression models to test for bivariate and multivariate associations between customer service use and enrollee characteristics. RESULTS: Forty-two percent of MA enrollees reported using customer service in the prior 6 months. Use was 20 percentage points (PP) higher for those in poor vs excellent/very good general health, 13 PP higher for those in poor vs excellent/very good mental health, and 14 PP higher for those reporting 3 or more vs no chronic conditions. Those using customer service more often had lower educational attainment, had limited income and assets, preferred another language to English, and had greater health care utilization. CONCLUSIONS: MA customer service supports a less healthy, higher-need population with greater-than-average barriers to health care, and so should be designed and staffed to effectively serve medically complex, high-need patients. Commercial plan evidence suggests that continuity in customer service support for a member or a given issue may be helpful. Customer service is an important mechanism for improving quality and addressing health equity.
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Medicare Part C , Humanos , Medicare Part C/estadística & datos numéricos , Estados Unidos , Femenino , Masculino , Anciano , Persona de Mediana Edad , Estado de Salud , Factores Socioeconómicos , Aceptación de la Atención de Salud/estadística & datos numéricos , Anciano de 80 o más Años , Comportamiento del Consumidor/estadística & datos numéricosRESUMEN
Purpose: Patient experience is a key aspect of care quality. The Consumer Assessment of Healthcare Providers and Systems Clinician and Group (CG-CAHPS®) survey measures experiences with ambulatory care providers to inform public reporting, pay-for-performance initiatives, interventions, patient choice of physicians/practices, and quality improvement. Since the survey's 2007 release, no systematic review of its use in research has been published. Methods: We reviewed English-language, peer-reviewed articles published since 2008 using CG-CAHPS survey data in the U.S. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and used the Checklist for Analytical Cross-Sectional Studies. Results: We examined 126 articles and included 52. Twenty-seven articles focused on general primary care, and the others focused on ambulatory specialty care. Of the 52 studies, 37 were cross-sectional, and the majority conducted patient-level regression analysis, controlling for patient characteristics. The most-used CAHPS measures were overall provider rating and the provider communication composite. CG-CAHPS data were primarily utilized to evaluate interventions (24 studies) and examine cross-sectional associations (21 studies) of site-level (eg, organizational climate), provider-level (physician empathy), and patient-level (medication adherence) factors with patient experience. Four studies reported disparities in patient experience. Conclusions: The widespread use of CG-CAHPS data implies the survey's value in measuring and improving care quality. Unlike facility or plan surveys, the CG-CAHPS survey was designed to allow attribution to medical groups and clinicians, which, as evidence shows, is its main strength. Policymakers, researchers, clinicians, and health care leaders can leverage CG-CAHPS data in quality improvement efforts and interventions supporting patient-centered care.
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PURPOSE: Sexual debut in early adolescence is associated with poor health outcomes in adulthood. We examined the associations of social capital within families, schools, and neighborhoods with early sexual debut. METHODS: Using data from the Healthy Passages cohort, a longitudinal multilevel study of adolescents, we performed a series of cross-classified multilevel logistic regression models to examine (1) the relative contribution of schools and neighborhoods to the variance and (2) the association of markers of social cohesion/social capital in families, schools, and neighborhoods with sexual debut by 10th grade. RESULTS: There were 4,001 youth participants nested in 115 schools and 751 neighborhoods, with a high degree of cross-classification (1,340 unique combinations of school and neighborhoods). In models adjusting for individual demographics, neighborhoods contributed more to the variance (log odds U [95% confidence interval {CI}] [intra class correlation {ICC}%]) in sexual debut than schools: Uneighborhoods = 0.11 (0.02, 0.23) [3.2%] versus Uschools = 0.07 (0.01, 0.16) [2%]. Restriction of dating and family cohesion, markers of family social capital, were associated with reduced odds of sexual debut by 10th grade (odds ratio = 0.45 95% CI: 0.41-0.49 and 0.93, 95% CI: 0.86, 1.00). Neighborhood cohesion and education level were associated with early debut. Although reduced, there remained significant, unexplained variance in both the school and neighborhood level in the fully adjusted model (Uschool = 0.08 [0.01, 0.17] [2.3%], Uneighborhood = 0.08 [0.02, 0.17] [2.2%]). DISCUSSION: Markers of social capital at the family and neighborhood levels were associated with sexual debut by 10th grade. Developers of public health programs aiming to delay sexual debut should consider family-focused and neighborhood-focused interventions.
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Instituciones Académicas , Capital Social , Humanos , Adolescente , Femenino , Masculino , Estudios Longitudinales , Conducta del Adolescente , Características de la Residencia/estadística & datos numéricos , Características del Vecindario , Conducta Sexual/estadística & datos numéricosRESUMEN
Adolescent substance use is linked with negative future outcomes (e.g., depression, anxiety, substance use disorder). Given that the brain undergoes significant maturation during adolescence, this developmental period may represent a time of particular vulnerability to substance use. Neuroimaging research has largely focused on heavy or binge patterns of substance use; thus, relatively less is known about the neural impact of a broader range of adolescent substance use. Characterizing the neural impact of a broader range of adolescent substance use may inform prevention and treatment efforts. The present study investigated relationships between adolescent substance use trajectories (i.e., alcohol, tobacco, and cannabis) and gray matter volume in young adulthood. Substance use was assessed in 1,594 participants at ages 11, 13, 16, and 19. Following the last assessment, 320 participants completed a single magnetic resonance imaging session to assess brain gray matter volume. Latent growth curve models were used to estimate growth parameters characterizing alcohol, tobacco, and cannabis use trajectories for each participant. These growth parameters (i.e., intercept, linear slope, and quadratic slope) were then used as predictors of gray matter volume. The gray matter volume of the hippocampus was positively associated with age 14 alcohol use (i.e., intercept) but not other trajectories (i.e., progression or acceleration) or substances (tobacco or cannabis). These results provide new insight into the neural impact of distinct adolescent alcohol, tobacco, and cannabis use trajectories, which may help to refine prevention and treatment efforts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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People eligible for both Medicare and Medicaid coverage ("dually eligible individuals") have lower levels of income and assets and often higher health care needs and costs than those eligible for Medicare but not Medicaid coverage. Their 3 most common Medicare coverage options are Medicare Advantage (MA) Dual Eligible Special Needs Plans (D-SNPs), non-D-SNP MA plans, and fee-for-service (FFS) Medicare with a stand-alone prescription drug plan. No prior study has examined clinical quality of care for dually eligible individuals across these 3 coverage types. To fill that void, we used logistic regression to compare these coverage types on 6 HEDIS measures of clinical quality of care that were available for both MA and FFS (constructed from claims files). D-SNPs and non-D-SNP MA plans significantly outperformed FFS for all 6 measures for dually eligible individuals, by approximately 5 percentage points for 2 measures and by 18-34 percentage points for the other 4 measures. For the 4 measures with the greatest advantage over FFS, performance was 3-8 percentage points higher in D-SNPs than in non-D-SNP MA plans.
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We investigated unfair treatment among 1863 Medicare Advantage (MA) enrollees from 21 MA plans using 2022 survey data (40% response rate) in which respondents indicated whether they were treated unfairly in a health care setting based on any of 10 personal characteristics. We calculated reported unfair treatment rates overall and by enrollee characteristics. Nine percent of respondents reported any unfair treatment, most often based on health condition (6%), disability (3%), or age (2%). Approximately 40% of those reporting any unfair treatment endorsed multiple categories. People who qualified for Medicare via disability reported unfair treatment by disability, age, income, race and ethnicity, sex, sexual orientation, and gender/gender identity more often than those who qualified via age. Enrollees dually eligible for Medicare and Medicaid or eligible for a Low-Income Subsidy (DE/LIS) reported unfair treatment by disability, income, language/accent, race and ethnicity, culture/religion, and sex more often than non-DE/LIS enrollees. Compared with White respondents, racial and ethnic minority respondents more often reported unfair treatment by race and ethnicity, language/accent, culture/religion, and income. Female respondents were more likely than male respondents to report unfair treatment based on age and sex.
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BACKGROUND: While a number of tools exist to predict mortality among older adults, less research has described the characteristics of Medicare Advantage (MA) enrollees at higher risk for 1 year mortality. OBJECTIVES: To describe the characteristics of MA enrollees at higher mortality risk using patient survey data. RESEARCH DESIGN: Retrospective cohort. SUBJECTS: MA enrollees completing the 2019 MA Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey. MEASURES: Linked demographic, health, and mortality data from a sample of MA enrollees were used to predict 1-year mortality risk and describe enrollee characteristics across levels of predicted mortality risk. RESULTS: The mortality model had a 0.80 c-statistic. Mortality risks were skewed: 6 % of enrollees had a ≥ 10 % 1-year mortality risk, while 45 % of enrollees had 1 % to < 5 % 1-year mortality risk. Among the high-risk (≥10 %) group, 47 % were age 85+ versus 12 % among those with mortality risk <5 %. 79 % were in fair or poor self-rated health versus 29 % among those with mortality risk of <5 %. 71 % reported needing urgent care in the prior 6 months versus 40 % among those with a mortality risk of 1 to<5 %. CONCLUSIONS: Relatively few older adults enrolled in MA are at high 1-year mortality risk. Nonetheless, MA enrollees over age 85, in fair or poor health, or with recent urgent care needs are far more likely to be in a high mortality risk group.
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Medicare Part C , Mortalidad , Humanos , Medicare Part C/estadística & datos numéricos , Estados Unidos/epidemiología , Masculino , Femenino , Estudios Retrospectivos , Anciano de 80 o más Años , Anciano , Mortalidad/tendencias , Medición de Riesgo , Factores de Riesgo , Estado de SaludRESUMEN
BACKGROUND: HCAHPS' 2008 initial public reporting, 2012 inclusion in the Hospital Value-Based Purchasing Program (HVBP), and 2015 inclusion in Hospital Star Ratings were intended to improve patient experiences. OBJECTIVES: Characterize pre-COVID-19 (2008-2019) trends in hospital consumer assessment of healthcare providers and systems (HCAHPS) scores. RESEARCH DESIGN: Describe HCAHPS score trends overall, by phase: (1) initial public reporting period (2008-2013), (2) first 2 years of HVBP (2013-2015), and (3) initial HCAHPS Star Ratings reporting (2015-2019); and by hospital characteristics (HCAHPS decile, ownership, size, teaching affiliation, and urban/rural). SUBJECTS: A total of 3909 HCAHPS-participating US hospitals. MEASURES: HCAHPS summary score (HCAHPS-SS) and 9 measures. RESULTS: The mean 2007-2019 HCAHPS-SS improvement in most-positive-category ("top-box") responses was +5.2 percentage points/pp across all hospitals (where differences of 5pp, 3pp, and 1pp are "large," "medium," and "small"). Improvement rate was largest in phase 1 (+0.8/pp/year vs. +0.2pp/year and +0.1pp/year for phases 2 and 3, respectively). Improvement was largest for Overall Rating of Hospital (+8.5pp), Discharge Information (+7.3pp), and Nurse Communication (+6.5pp), smallest for Doctor Communication (+0.8pp). Some measures improved notably through phases 2 and 3 (Nurse Communication, Staff Responsiveness, Overall Rating of Hospital), but others slowed or reversed in Phase 3 (Communication about Medicines, Quietness). Bottom-decile hospitals improved more than other hospitals for all measures. CONCLUSIONS: All HCAHPS measures improved rapidly 2008-2013, especially among low-performing (bottom-decile) hospitals, narrowing the range of performance and improving scores overall. This initial improvement may reflect widespread, general quality improvement (QI) efforts in lower-performing hospitals. Subsequent slower improvement following the introduction of HVBP and Star Ratings may have reflected targeted, resource-intensive QI in higher-performing hospitals.
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Satisfacción del Paciente , Mejoramiento de la Calidad , Humanos , Estados Unidos , Hospitales/normas , Hospitales/estadística & datos numéricos , COVID-19/epidemiología , Compra Basada en Calidad , Encuestas de Atención de la Salud , Encuestas y CuestionariosRESUMEN
Census data are vital to health care research but must also protect respondents' confidentiality. The 2020 decennial Census employs a new Differential Privacy framework; this study examines its effect on the accuracy of an important tool for measuring health disparities, the Bayesian Improved Surname and Geocoding (BISG) algorithm, which uses Census Block Group data to estimate race and ethnicity when self-reported data are unavailable. Using self-reported race and ethnicity data as our standard, we compared the accuracy of BISG estimates calculated using the original 2010 Census counts to the accuracy of estimates calculated using 2010 data but with 2020 Differential Privacy in place. The Differential Privacy methodology slightly decreases BISG accuracy for American Indian and Alaska Native people but has little effect for other groups, suggesting that the methodology will not impede health disparities research that employs BISG and similar methods.
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Censos , Etnicidad , Humanos , Estados Unidos , Confidencialidad , Teorema de Bayes , Grupos Raciales , Algoritmos , Privacidad/legislación & jurisprudencia , Disparidades en el Estado de SaludRESUMEN
PURPOSE: Adults' comments on patient experience surveys explain variation in provider ratings, with negative comments providing more actionable information than positive comments. We investigate if narrative comments on the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) survey of inpatient pediatric care (Child HCAHPS) account for global perceptions of the hospital beyond that explained by reports about specific aspects of care. METHODS: We analyzed 545 comments from 927 Child HCAHPS surveys completed by parents and guardians of hospitalized children with at least a 24-h hospital stay from July 2017 to December 2020 at an urban children's hospital. Comments were coded for valence (positive/negative/mixed) and actionability and used to predict Overall Hospital Rating and Willingness to Recommend the Hospital along with Child HCAHPS composite scores. RESULTS: Comments were provided more often by White and more educated respondents. Negative comments and greater actionability of comments were significantly associated with Child HCAHPS global rating measures, controlling for responses to closed-ended questions, and child and respondent characteristics. Each explained an additional 8% of the variance in respondents' overall hospital ratings and an additional 5% in their willingness to recommend the hospital. CONCLUSIONS: Child HCAHPS narrative comment data provide significant additional information about what is important to parents and guardians during inpatient pediatric care beyond closed-ended composites. PRACTICE IMPLICATIONS: Quality improvement efforts should include a review of narrative comments alongside closed-ended responses to help identify ways to improve inpatient care experiences. To promote health equity, comments should be encouraged for racial-and-ethnic minority patients and those with less educational attainment.
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Hospitales Pediátricos , Satisfacción del Paciente , Humanos , Masculino , Niño , Femenino , Satisfacción del Paciente/estadística & datos numéricos , Encuestas de Atención de la Salud , Narración , Niño Hospitalizado , Pacientes Internos/estadística & datos numéricos , Adulto , Preescolar , Adolescente , Encuestas y CuestionariosRESUMEN
BACKGROUND: Limitations in the quality of race-and-ethnicity information in Medicare's data systems constrain efforts to assess disparities in care among older Americans. Using demographic information from standardized patient assessments may be an efficient way to enhance the accuracy and completeness of race-and-ethnicity information in Medicare's data systems, but it is critical to first establish the accuracy of these data as they may be prone to inaccurate observer-reported or third-party-based information. This study evaluates the accuracy of patient-level race-and-ethnicity information included in the Outcome and Assessment Information Set (OASIS) submitted by home health agencies. METHODS: We compared 2017-2022 OASIS-D race-and-ethnicity data to gold-standard self-reported information from the Medicare Consumer Assessment of Healthcare Providers and Systems® survey in a matched sample of 304,804 people with Medicare coverage. We also compared OASIS data to indirect estimates of race-and-ethnicity generated using the Medicare Bayesian Improved Surname and Geocoding (MBISG) 2.1.1 method and to existing Centers for Medicare & Medicaid Services (CMS) administrative records. RESULTS: Compared with existing CMS administrative data, OASIS data are far more accurate for Hispanic, Asian American and Native Hawaiian or other Pacific Islander, and White race-and-ethnicity; slightly less accurate for American Indian or Alaska Native race-and-ethnicity; and similarly accurate for Black race-and-ethnicity. However, MBISG 2.1.1 accuracy exceeds that of both OASIS and CMS administrative data for every racial-and-ethnic category. Patterns of inconsistent reporting of racial-and-ethnic information among people for whom there were multiple observations in the OASIS and Consumer Assessment of Healthcare Providers and Systems (CAHPS) datasets suggest that some of the inaccuracies in OASIS data may result from observation-based reporting that lessens correspondence with self-reported data. CONCLUSIONS: When health record data on race-and-ethnicity includes observer-reported information, it can be less accurate than both true self-report and a high-performing imputation approach. Efforts are needed to encourage collection of true self-reported data and explicit record-level data on the source of race-and-ethnicity information.
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Etnicidad , Medicare , Humanos , Estados Unidos , Medicare/estadística & datos numéricos , Masculino , Anciano , Femenino , Etnicidad/estadística & datos numéricos , Grupos Raciales/estadística & datos numéricos , Exactitud de los Datos , Anciano de 80 o más Años , Disparidades en Atención de Salud/etnología , Disparidades en Atención de Salud/estadística & datos numéricos , Evaluación de Resultado en la Atención de Salud , AutoinformeRESUMEN
Patient experience is a key hospital quality measure. We review and characterize the literature on interventions, care and management processes, and structural characteristics associated with better inpatient experiences as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey. Prior reviews identified several promising interventions. We update these previous efforts by including more recent peer-reviewed literature and expanding the review's scope to include observational studies of HCAHPS measures with process measures and structural characteristics. We used PubMed to identify U.S. English-language peer-reviewed articles published in 2017 to 2020 and focused on hospital patient experience. The two HCAHPS domains for which we found the fewest potential quality improvement interventions were Communication with Doctors and Quietness. We identified several modifiable processes that could be rigorously evaluated in the future, including electronic health record patient engagement functionality, care management processes, and nurse-to-patient ratios. We describe implications for future policy, practice, and research.
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Hospitales , Satisfacción del Paciente , Humanos , Mejoramiento de la Calidad , Calidad de la Atención de SaludRESUMEN
Objectives: To establish principles informing a new scoring system for the UK's Clinical Impact Awards and pilot a system based on those principles. Design: A three-round online Delphi process was used to generate consensus from experts on principles a scoring system should follow. We conducted a shadow scoring exercise of 20 anonymised, historic applications using a new scoring system incorporating those principles. Setting: Assessment of clinical excellence awards for senior doctors and dentists in England and Wales. Participants: The Delphi panel comprised 45 members including clinical excellence award assessors and representatives of professional bodies. The shadow scoring exercise was completed by 24 current clinical excellence award assessors. Main outcome measures: The Delphi panel rated the appropriateness of a series of items. In the shadow scoring exercise, a novel scoring system was used with each of five domains rated on a 0-10 scale. Results: Consensus was achieved around principles that could underpin a future scoring system; in particular, a 0-10 scale with the lowest point on the scale reï¬ecting someone operating below the expectations of their job plan was agreed as appropriate. The shadow scoring exercise showed similar levels of reliability between the novel scoring system and that used historically, but with potentially better distinguishing performance at higher levels of performance. Conclusions: Clinical excellence awards represent substantial public spending and thus far the deployment of these funds has lacked a strong evidence base. We have developed a new scoring system in a robust manner which shows improvements over current arrangements.
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COVID-19 , Estados Unidos/epidemiología , Anciano , Humanos , Uso de Internet , Medicare , Pandemias , InternetRESUMEN
Importance: Surveys often underrepresent certain patients, such as underserved patients. Methods that improve their response rates (RRs) would help patient surveys better represent their experiences and assess equity and equity-targeted quality improvement efforts. Objective: To estimate the effect of adding an initial web mode to existing Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey protocols and extending the fielding period on RR and representativeness of underserved patient groups. Design, Setting, and Participants: This randomized clinical trial included 36â¯001 patients discharged from 46 US hospitals from May through December 2021. Data analysis was performed from May 2022 to September 2023. Exposures: Patients were randomized to 1 of 6 survey protocols: 3 standard HCAHPS protocols (mail only, phone only, mail-phone) plus 3 web-enhanced protocols (web-mail, web-phone, web-mail-phone). Main Outcomes and Measures: RR and number of respondents per 100 survey attempts (yield) were calculated and compared for each of the 6 survey protocols, overall, and by patient age, service line, sex, and race and ethnicity. Results: A total of 34â¯335 patients (median age range, 55-59 years; 59.3% female individuals and 40.7% male individuals) were eligible and included in the study. Of the respondents, 6.9% were Asian American or Native Hawaiian or Other Pacific Islander, 0.7% were American Indian or Alaska Native, 11.5% were Black, 17.4% were Hispanic, 61.0% were White, and 2.6% were multiracial. Of the 6 protocols, RRs were highest in web-mail-phone (36.5%), intermediate for the 3 two-mode survey protocols (mail-phone, web-mail, web-phone, 30.3%-31.1%), and lowest for the 2 single-mode protocols (mail only, phone only, 22.1%-24.3%). Web-mail-phone resulted in the highest yield for 3 racial and ethnic groups (Black, Hispanic, and White patients) and second highest for another (multiracial patients). Otherwise, the highest or second highest yield was almost always a 2-mode protocol. Mail only was the lowest-yield protocol for Black, Hispanic, and multiracial patients and phone-only was the lowest-yield protocol for White patients; these 2 protocols tied for lowest-yield for Asian American or Native Hawaiian or Other Pacific Islander patients. Gains from multimode approaches were often 2 to 3 times as large for Asian American or Native Hawaiian or Other Pacific Islander, Black, Hispanic, and multiracial patients as for White patients. Web-mail-phone had the highest RR for 6 of 8 age groups and 4 of 5 combinations of service line and sex. Conclusions and Relevance: In this randomized clinical trial, web-first multimode survey protocols significantly improved the RR and representativeness of patient surveys. The best-performing protocol based on RR and representativeness was web-mail-phone. Web-phone performed well for young and diverse patient populations, and web-mail for older and less diverse patient populations. The US Centers for Medicare & Medicaid Services will allow hospitals to use the web-mail, web-phone, and web-mail-phone protocols for HCAHPS administration beginning in 2025.
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Encuestas y Cuestionarios , Poblaciones Vulnerables , Femenino , Humanos , Masculino , Persona de Mediana Edad , Etnicidad , Grupos Raciales , Estados UnidosRESUMEN
OBJECTIVE: Assessing 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. DESIGN: Secondary analysis of the 2020 Medicare Health Outcomes Survey. SETTING: A random sample of adult enrollees of 510 managed care plans. PARTICIPANTS: 287,476 adults (37% completion rate): 58% women; 16% were <65 years old (entitled via disability), 50% 65-74, and 34% 75 or older; 77% White, 14% Black, and 8% another race; 19% had Asunto(s)
Actividades Cotidianas
, Medicare
, Adulto
, Humanos
, Femenino
, Anciano
, Estados Unidos
, Masculino
, Reproducibilidad de los Resultados
, Encuestas y Cuestionarios
, Evaluación de Resultado en la Atención de Salud
, Evaluación de la Discapacidad