The development of a patient-reported functional limitations index.

OBJECTIVES: To develop an easy-to-interpret, patient-reported Functional Limitations Index (FLI) that can be used to assess and monitor the full spectrum of functioning in a community-dwelling population. STUDY DESIGN: Observational design using nationally representative survey data. METHODS: We used self-rated health as a criterion for empirically assigning weights to 5 National Health Interview Survey items assessing difficulty with seeing, hearing, walking, cognition, and self-care. In addition to succinctly summarizing cumulative limitations, we addressed 2 main questions: (1) Which limitations have stronger associations with self-rated health? and (2) How does severity (from 0, no difficulty, to 3, unable to do) relate to self-rated health? We generated a respondent-level summary score based on a model predicting self-rated health from the 5 linearly scored (0-3) items and used splines to account for nonlinear severity-self-rated health associations. RESULTS: The strongest association of specific functional limitations with self-rated health involved mobility; the weakest associations involved sensory limitations. The association of severity with self-rated health was nonlinear and largest moving from no difficulty to somewhat difficult. Nationally, 5% of noninstitutionalized adults were considered most limited, 8% somewhat limited, and 87% least limited. Great mobility limitations (defined as a lot of difficulty or unable to do) most distinguished limitation groups (present in 0% of least limited, 25% of somewhat limited, and 70% of most limited). CONCLUSIONS: The FLI is an easy-to-administer, easy-to-interpret, and valid summary measure of disability that health plans and health care organizations can use for quality-of-care monitoring across a variety of settings to improve care for patients with disabilities.

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

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

Identifying Medicare Beneficiaries Accessing Transgender-Related Care in the Era of ICD-10.

Purpose: The study purpose was to describe trends in the size and demographics of the population of transgender Medicare beneficiaries identified using International Classification of Diseases (ICD) Clinical Modification codes over time. We also assessed how the change from ICD, Ninth Revision (ICD-9) diagnosis codes to ICD, 10th Revision (ICD-10) diagnosis codes in October 2015 has affected the ability to identify transgender beneficiaries within claims data. Methods: We used Medicare Fee-for-Service claims within the Centers for Medicare & Medicaid Services Chronic Conditions Data Warehouse from 2010 through 2016 to identify transgender beneficiaries. We linked these data to Medicare enrollment records to study demographic trends. Results: Within the Medicare program, the number of beneficiaries identified as transgender through claims data in each year has increased from 2088 beneficiaries in 2010 to 10,242 beneficiaries in 2016 (a 390% increase). The highest numbers of transgender beneficiaries were identified in 2015 and 2016, which coincide with the change to ICD-10. Similarly, more beneficiaries were identified as transgender in the 12 months after the change to ICD-10 (N = 8733) than in the 12 months before (N = 4857). Conclusion: Given that a first and critical step to better understand and eliminate health disparities and deliver culturally competent care is to identify and characterize the population of interest, this study provides an innovative view into how the change to the ICD-10 coding system affects the ability to study a transgender cohort within Medicare claims data.

Explaining the Relationship Between Minority Group Status and Health Disparities: A Review of Selected Concepts.

Purpose: There is growing concern that value-based payment for health care may disadvantage health care organizations that serve populations with social risk. In the broader investigation of social risk factors, including income, education, neighborhood deprivation, and other risks, the focus on race and ethnicity as a risk factor for disparities in health and health care has diminished. Understanding the independent contribution of minority group status is critical to this discussion. This narrative review discusses four concepts-minority stress, resilience, epigenetics, and life course-that may help explain the contribution of minority group status and its association with health disparities. Methods: We briefly describe each concept and the supporting evidence. Results: Our results indicate that all four concepts have potential relevance for understanding and addressing health disparities. The life course perspective emphasizes the importance of understanding explanatory mechanisms and factors that contribute to health-including biological, physical, and social factors-over a person's life span. Both minority stress and resilience may influence health in either a negative or positive manner that potentially underlies health changes. Exposure to these factors and others may interact with and modify epigenetic regulation-biological processes that impact how our genes are expressed. This may increase the risk of disease and negative health outcomes, particularly among groups that may be at disproportionate risk because of social circumstances and environmental exposure over the life course. Conclusion: Despite these concepts' relevance, more research is needed to assess how they may explain the relationship between minority status and disparities in health. Such evidence is needed to focus interventions and to inform the design of delivery and payment models that can spur actions to reduce disparities.

Improving Measures of Sexual and Gender Identity in English and Spanish to Identify LGBT Older Adults in Surveys.

PURPOSE: The goal of this research is to advance the study of health disparities faced by older sexual and gender minorities by assessing comprehension of and improving measures of sexual and gender identity in surveys. METHODS: Cognitive interviews were conducted by expert interviewers with 48 non-lesbian, gay, bisexual, and transgender (non-LGBT) and 9 LGBT older English and Spanish speakers. RESULTS: All respondents were able to answer questions about their sex assigned at birth and current gender identity successfully despite some cisgender respondents' lack of clear understanding of the transgender response option. On the contrary, while the vast majority of English speakers could answer the question about their sexual identity successfully, almost 60% of the non-LGBT Spanish speakers did not select the "heterosexual, that is, not gay (or lesbian)" response category. Qualitative probing of their response process pointed mainly to difficulties understanding the term "heterosexual," leading to their choosing "something else" or saying that they didn't know how to answer. A second round of testing of alternative response categories for the sexual identity question with Spanish speakers found a marked improvement when offered "not gay (or lesbian), that is, heterosexual" instead of beginning with the term "heterosexual." CONCLUSION: This research adds to our understanding of gender and sexual identity questions appropriate for population surveys with older adults. Inclusion of these measures in surveys is a crucial step in advancing insights into the needs of and disparities faced by LGBT older adults.

Transgender Medicare Beneficiaries and Chronic Conditions: Exploring Fee-for-Service Claims Data.

PURPOSE: Data on the health and well-being of the transgender population are limited. However, using claims data we can identify transgender Medicare beneficiaries (TMBs) with high confidence. We seek to describe the TMB population and provide comparisons of chronic disease burden between TMBs and cisgender Medicare beneficiaries (CMBs), thus laying a foundation for national level TMB health disparity research. METHODS: Using a previously validated claims algorithm based on ICD-9-CM codes relating to transsexualism and gender identity disorder, we identified a cohort of TMBs using Medicare Fee-for-Service (FFS) claims data. We then describe the demographic characteristics and chronic disease burden of TMBs (N = 7454) and CMBs (N = 39,136,229). RESULTS: Compared to CMBs, a greater observed proportion of TMBs are young (under age 65) and Black, although these differences vary by entitlement. Regardless of entitlement, TMBs have more chronic conditions than CMBs, and more TMBs have been diagnosed with asthma, autism spectrum disorder, chronic obstructive pulmonary disease, depression, hepatitis, HIV, schizophrenia, and substance use disorders. TMBs also have higher observed rates of potentially disabling mental health and neurological/chronic pain conditions, as well as obesity and other liver conditions (nonhepatitis), compared to CMBs. CONCLUSION: This is the first systematic look at chronic disease burden in the transgender population using Medicare FFS claims data. We found that TMBs experience multiple chronic conditions at higher rates than CMBs, regardless of Medicare entitlement. TMBs under age 65 show an already heavy chronic disease burden which will only be exacerbated with age.