PubMed Health⌕ Search

Biomedical subjects

Risa Lavizzo-Mourey

Publications and source records attributed to Risa Lavizzo-Mourey.

10 recordsLinked to original sources

Racial and ethnic disparities and perceptions of health care: does health plan type matter?

OBJECTIVE: To examine whether racial and ethnic differences in the distribution of individuals across types of health plans explain differences in satisfaction and trust with their physicians. DATA SOURCES: Data were derived from the 1998-1999 Community Tracking Household and Followback Studies and consisted of a nationwide sample of adults (18 years and older). DATA COLLECTION: The data were collected by telephone survey. Surveys were administered in English and Spanish. The response rate for the Household Survey was 63 percent, and the match rate for the Followback Survey was 59 percent. STUDY DESIGN: Multivariate analyses used regression methods to detect independent effects of respondent race and ethnicity on satisfaction and trust with physician, while controlling for enrollment in different types of health plans. PRINCIPAL FINDINGS: Racial and ethnic minorities are more likely than whites to have lower levels of trust and satisfaction with their physician. The most prominent differences occurred within the Latino and Native American/Asian American/Pacific Islander/Other ("Other") populations. Plan type does not mitigate the relationship between race/ethnicity and trust and satisfaction for the overall adult population. CONCLUSIONS: Disparate levels of trust and satisfaction exist within ethnic and minority populations, even when controlling for the distribution of individuals across types of health plans. The results demonstrate a need to better understand the health care-related factors that drive disparate trust and satisfaction.

Adult↗

Dissemination and characteristics of acute care for elders (ACE) units in the United States.

OBJECTIVE: The objective of this paper is to determine prevalence and characteristics of acute care for elders (ACE) units and hospital characteristics associated with the presence of an ACE unit. METHODS: Data on characteristics and prevalence of ACE units were obtained by surveying all established geriatric medical divisions across U.S. medical schools. Data on hospital characteristics such as number of beds, revenue, number of Medicare inpatients, and average length of stay were obtained from the 1999 American Hospital Association Annual Survey Data. Descriptive statistics and t test were used to analyze the characteristics of ACE units. Stepwise logistic regression was used to analyze the hospital characteristics associated with the presence of an ACE unit. RESULTS: The survey identified 16 geriatric divisions and programs with ACE units. Hospitals that have ACE units differ significantly with respect to number of beds and total revenue, compared with institutions that do not have an ACE unit. Stepwise logistic regression indicated total hospital revenue was the only factor significantly associated with the presence of an ACE unit. CONCLUSIONS: ACE units are attractive interdisciplinary models to address the particular needs of the elderly during their hospital stay. Low presence of ACE units warrants further research as to reasons more hospitals have not included them, given the available evidence for clinical, functional, and economic benefits.

Acute Disease↗

Disparities and quality improvement: federal policy levers.

Using a quality improvement framework to address racial and ethnic disparities in health care highlights multiple opportunities for federal and state governments to exert policy leverage, particularly through their roles as purchasers and regulators. Under such a framework, federal and state governments can expand their roles in collecting race/ethnicity data; define universal and meaningful race/ethnicity categories; more broadly disseminate standards for cultural competence; and demand the reduction of disparities through leveraging their status as collectively the largest U.S. health care payer.

Centers for Medicare and Medicaid Services, U.S.↗