Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
Add more filters










Database
Language
Publication year range
1.
Am J Manag Care ; 29(3): e91-e95, 2023 03 01.
Article in English | MEDLINE | ID: mdl-36947022

ABSTRACT

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


Subject(s)
Health Equity , Medicare Part C , Aged , Humans , United States , Ethnicity , Health Promotion , Minority Groups
2.
Med Care ; 60(6): 453-461, 2022 06 01.
Article in English | MEDLINE | ID: mdl-35315378

ABSTRACT

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.


Subject(s)
Medicare Part C , Quality Improvement , Aged , Ethnicity , Humans , Quality of Health Care , Retrospective Studies , United States
3.
Sleep Health ; 8(2): 140-145, 2022 04.
Article in English | MEDLINE | ID: mdl-35221260

ABSTRACT

OBJECTIVE: To evaluate whether sleep disturbances vary along a continuum of functional limitations in a large nationally representative sample of US adults. METHODS: Using 2014-2015 National Health Interview Survey data (n = 33,424), we considered associations between each of 5 sleep disturbance measures (duration, trouble falling asleep, trouble staying asleep, use of sleep medications, waking rested) and Functional Limitations Index score, which distinguishes among adults with little-or-no (least-limited), moderate (somewhat-limited), and high functional limitations (most-limited). RESULTS: Somewhat-limited and most-limited respondents reported significantly worse sleep health for all sleep disturbance measures than people with little-or-no limitations, even controlling for body mass index, psychological distress, and 14 health indicators. CONCLUSIONS: People with significant self-reported limitations in physical functioning, independent of specific disabilities or disabling condition, report more sleep disturbances. Clinicians may want to evaluate the sleep health of patients with functional limitations.


Subject(s)
Sleep Initiation and Maintenance Disorders , Sleep Wake Disorders , Adult , Humans , Independent Living , Sleep , Sleep Wake Disorders/epidemiology , Surveys and Questionnaires
4.
Health Serv Res ; 57(3): 458-471, 2022 06.
Article in English | MEDLINE | ID: mdl-34596232

ABSTRACT

OBJECTIVE: To investigate (a) the magnitude of the independent associations of neighborhood-level and person-level social risk factors (SRFs) with quality, (b) whether neighborhood-level SRF associations may be proxies for person-level SRF associations, and (c) how the association of person-level SRFs and quality varies by neighborhood-level SRFs. DATA SOURCES: 2015-2016 Medicare Advantage HEDIS data, Medicare beneficiary administrative data, and 2016 American Community Survey (ACS). STUDY DESIGN: Mixed effects linear regression models (1) estimated overall inequities by neighborhood-level and person-level SRFs, (2) compared neighborhood-level associations to person-level associations, and (3) tested the interactions of person-level SRFs with corresponding neighborhood-level SRFs. DATA COLLECTION/EXTRACTION METHODS: Beneficiary-level SES and disability administrative data and five-year ACS neighborhood-level SRF information were each linked to HEDIS data. PRINCIPAL FINDINGS: For all or nearly all HEDIS measures, quality was worse in neighborhoods lower in SES and in neighborhoods with higher proportions of residents with a disability. Quality by neighborhood racial and ethnic composition was mixed. Accounting for corresponding person-level SRFs reduced neighborhood SRF associations by 25% for disability, 43% for SES, and 74%-102% for racial and ethnic groups. Person-level SRF coefficients were not consistently reduced in models that added neighborhood-level SRFs. In 19 of 35 instances, there were significant (p < 0.05) interactions between neighborhood-level and corresponding person-level SRFs. Significant interactions were always positive for disability, SES, Black, and Hispanic, indicating more negative neighborhood effects for people with SRFs that did not match their neighborhood and more positive neighborhood effects for people with SRFs that matched their neighborhood. CONCLUSIONS: Relying solely on neighborhood-level SRF models that omit similar person-level SRFs overattributes inequities to neighborhood characteristics. Neighborhood-level characteristics account for much less variation in these measures' scores than similar person-level SRFs. Inequity-reduction programs may be most effective when targeting neighborhoods with a high proportion of people with a given SRF.


Subject(s)
Medicare Part C , Residence Characteristics , Aged , Delivery of Health Care , Ethnicity , Humans , Risk Factors , Socioeconomic Factors , United States
5.
Res Aging ; 43(7-8): 274-282, 2021 08.
Article in English | MEDLINE | ID: mdl-33769144

ABSTRACT

STUDY OBJECTIVE: As recent efforts to improve culturally competent clinical care (CCCC) have largely overlooked older LGB adults, we conducted a scoping review of position statements, empirical, and non-empirical research and suggest action steps. METHODS: We followed PRISMA Extension for Scoping Reviews Guidelines and searched for articles 1/1/11-3/14/19 (n = 1210) and other resources (n = 52), deduplicating, dually screening abstracts (n = 1,156), reviewing full-text (n = 107), and conducted a content analysis to identify distinct and cross-cutting domains (n = 44). MAIN FINDINGS: Most research was based on simple pre/post-training differences in provider knowledge. A majority of sources were non-empirical. We identified three distinct domains (education & staffing, physical environment, and inclusive language & communication) and three cross-cutting domains (subgroup differences, research, and policy). PRINCIPAL CONCLUSIONS: Sparse empirical data that specify best approaches to improve CCCC exist; nevertheless, providers, in collaboration with researchers and policy makers, can initiate improved practices aimed at increasing CCCC for older LGB patients.


Subject(s)
Cultural Competency , Sexual and Gender Minorities , Humans
SELECTION OF CITATIONS
SEARCH DETAIL
...