Processing and validation of inpatient Medicare Advantage data for use in hospital outcome measures.

OBJECTIVE: To determine the feasibility of integrating Medicare Advantage (MA) admissions into the Centers for Medicare & Medicaid Services (CMS) hospital outcome measures through combining Medicare Advantage Organization (MAO) encounter- and hospital-submitted inpatient claims. DATA SOURCES AND STUDY SETTING: Beneficiary enrollment data and inpatient claims from the Integrated Data Repository for 2018 Medicare discharges. STUDY DESIGN: We examined timeliness of MA claims, compared diagnosis and procedure codes for admissions with claims submitted both by the hospital and the MAO (overlapping claims), and compared demographic characteristics and principal diagnosis codes for admissions with overlapping claims versus admissions with a single claim. DATA COLLECTION/EXTRACTION METHODS: We combined hospital- and MAO-submitted claims to capture MA admissions from all hospitals and identified overlapping claims. For admissions with only an MAO-submitted claim, we used provider history data to match the National Provider Identifier on the claim to the CMS Certification Number used for reporting purposes in CMS outcome measures. PRINCIPAL FINDINGS: After removing void and duplicate claims, identifying overlapped claims between the hospital- and MAO-submitted datasets, restricting claims to acute care and critical access hospitals, and bundling same admission claims, we identified 5,078,611 MA admissions. Of these, 76.1% were submitted by both the hospital and MAO, 14.2% were submitted only by MAOs, and 9.7% were submitted only by hospitals. Nearly all (96.6%) hospital-submitted claims were submitted within 3 months after a one-year performance period, versus 85.2% of MAO-submitted claims. Among the 3,864,524 admissions with overlapping claims, 98.9% shared the same principal diagnosis code between the two datasets, and 97.5% shared the same first procedure code. CONCLUSIONS: Inpatient MA data are feasible for use in CMS claims-based hospital outcome measures. We recommend prioritizing hospital-submitted over MAO-submitted claims for analyses. Monitoring, data audits, and ongoing policies to improve the quality of MA data are important approaches to address potential missing data and errors.

People with mental illness stigmatize mental illness less: A comparison study between a hospital-based sample of people with mental illness and a non-clinical general population sample in urban India.

Evidence shows that stigma negatively influences the quality of life of persons with severe mental illness. Nonetheless, stigma towards mental illness is lower among persons with a lived experience of mental illness compared to the rest of the population. Understanding the association between stigma of mental illness and the mental status of individuals living in urban India and whether this association is moderated by demographic factors opens a new avenue for prevention of social exclusion. Persons diagnosed with schizophrenia, bipolar disorder, or severe unipolar depression (cases, n = 647) were recruited from among hospital patients in New Delhi between November 2011 and June 2012 and matched with non-psychiatric urban dwellers by age, sex, and location of residence (controls, n = 649). Propensity score matching with multivariable linear regression was used to test whether stigma towards mental illness, measured by a 13-item Stigma Questionnaire, differed between cases and controls. Cases reported significantly lower stigma scores than controls (b = -0.50, p < 0.0001). The strength of the association between mental illness and stigma was not affected after controlling for age, caste, sex, education, and employment status, while wealth marginally reduced the strength of the association. These findings suggest individuals with a lived experience of mental illness, in New Delhi, India, may be more tolerant towards mental illness and support the need to involve persons with lived experience in the development and implementation of health promotional campaigns and programs aimed at reducing stigma towards mental illness.

Economic Abuse and Care-seeking Practices for HIV and Financial Support Services in Women Employed by Sex Work: A Cross-Sectional Baseline Assessment of a Clinical Trial Cohort in Uganda.

Economic hardship is a driver of entry into sex work, which is associated with high HIV risk. Yet, little is known about economic abuse in women employed by sex work (WESW) and its relationship to uptake of HIV prevention and financial support services. This study used cross-sectional baseline data from a multisite, longitudinal clinical trial that tests the efficacy of adding economic empowerment to traditional HIV risk reduction education on HIV incidence in 542 WESW. Mixed effects logistic and linear regressions were used to examine associations in reported economic abuse by demographic characteristics, sexual behaviors, HIV care-seeking, and financial care-seeking. Mean age was 31.4 years. Most WESW were unmarried (74%) and had less than primary school education (64%). 48% had savings, and 72% had debt. 93% reported at least one economic abuse incident. Common incidents included being forced to ask for money (80%), having financial information kept from them (61%), and being forced to disclose how money was spent (56%). WESW also reported partners/relatives spending money needed for bills (45%), not paying bills (38%), threatening them to quit their job(s) (38%), and using physical violence when earning income (24%). Married/partnered WESW (OR = 2.68, 95% CI:1.60-4.48), those with debt (OR = 1.70, 95% CI:1.04-2.77), and those with sex-work bosses (OR = 1.90, 95% CI:1.07-3.38) had higher economic abuse. Condomless sex (ß = +4.43, p < .05) was higher among WESW experiencing economic abuse, who also had lower odds of initiating PrEP (OR = .39, 95% CI:.17-.89). WESW experiencing economic abuse were also more likely to ask for cash among relatives (OR = 2.36, 95% CI:1.13-4.94) or banks (OR = 2.12, 95% CI:1.11-4.03). The high prevalence of HIV and economic abuse in WESW underscores the importance of integrating financial empowerment in HIV risk reduction interventions for WESW, including education about economic abuse and strategies to address it. Programs focusing on violence against women should also consider economic barriers to accessing HIV prevention services.