Miriam Ryvicker

The Role of Patient Activation in Improving Blood Pressure Outcomes in Black Patients Receiving Home Care

Variations in patients’ self-management knowledge, skills, and confidence as measured by the Patient Activation Measure (PAM) have been linked to variations in health behavior and outcomes. In a randomized trial, we tested two blood pressure (BP) control interventions, one grounded in activation principles. Study participants were Black home care patients (N = 587) with uncontrolled hypertension. This article examines intervention impacts on 12-month PAM score change, other predictors of PAM change, and associations between PAM change and BP outcomes. In multivariate models, the interventions did not significantly affect PAM change. Baseline characteristics associated with increased PAM were lower PAM score, higher income, higher health literacy, younger age, lower systolic BP, diabetes, and fewer medications. PAM increase was associated with a modest reduction in diastolic BP but not with improved systolic BP or BP control. Although studies suggest that increasing activation may lead to improved patient outcomes, this study did not find it to be so.

Patient Activation and Disparate Health Care Outcomes in a Racially Diverse Sample of Chronically Ill Older Adults

The Patient Activation Measure (PAM) assesses people’s ability to self-manage their health. Variations in PAM score have been linked with health behaviors, outcomes, and potential disparities. This study assessed the relative impacts of activation, socio-demographic and clinical factors on health care outcomes in a racially diverse sample of chronically ill, elderly homecare patients. Using survey and administrative data from 249 predominantly non-White patients, logistic regression was conducted to examine the effects of activation level and patient characteristics on the likelihood of subsequent hospitalization and emergency department (ED) use. Activation was not a significant predictor of hospitalization or ED use in adjusted models. Non-Whites were more likely than Whites to have a hospitalization or ED visit. Obesity was a strong predictor of both outcomes. Further research should examine potential sources of disadvantage among chronically ill homecare patients to design effective interventions to reduce health disparities in this population.

Can the Care Transitions Measure Predict Rehospitalization Risk or Home Health Nursing Use of Home Healthcare Patients

Abstract: The Care Transitions Measure (CTM) was designed to assess the quality of patient transitions from the hospital. Many hospitals are using the measure to inform their efforts to improve transitional care. We sought to determine if the measure would have utility for home healthcare providers by predicting newly admitted patients at heightened risk for emergency department use, rehospitalization, or increased home health nursing visits. The CTM was administered to 495 home healthcare patients shortly after hospital discharge and home healthcare admission. Follow‐up interviews were completed 30 and 60 days post hospital discharge. Interview data were supplemented with agency assessment and service use data. We did not find evidence that the CTM could predict home healthcare patients having an elevated risk for emergent care, rehospitalization, or higher home health nursing use. Because Medicare/Medicaid‐certified home healthcare providers already use a comprehensive, mandated start of care assessment, the CTM may not provide them additional crucial information. Process and outcome measurement is increasingly becoming part of usual care. Selection of measures appropriate for each service setting requires thorough site‐specific evaluation. In light of our findings, we cannot recommend the CTM as an additional measure in the home healthcare setting.

Improving functional outcomes in home care patients: impact and challenges of disseminating a quality improvement initiative.

Abstract Most older adults are admitted to home health care with some functional impairment related to chronic illness and/or hospitalization. This article describes: (1) the impact of a quality improvement initiative (QI) on functional outcomes of older, chronically ill patients served by a large homecare organization; and (2) key implementation challenges affecting intervention outcomes. Over 6,000 patients were included in two dissemination phases. Phase 1 randomly assigned service delivery teams to intervention (QI) or usual care (UC). Phase 2 spread the intervention to UC teams. Phase 1 yielded statistically significant, albeit modest, functional improvements among intervention team patients relative to UC. Phase 2 improvements in the original intervention group were smaller, suggesting some regression to the mean. UC teams did not “catch up” when exposed to the intervention in Phase 2. Analysis of the implementation process suggested that modification of improvement strategies and “dilution” of peer‐to‐peer communication hindered additional Phase 2 improvements. The findings highlight the challenges of relying on peer‐to‐peer spread, and of distinguishing the core elements of an effective improvement strategy that must be spread consistently from those that can be adapted to variations within and across organizations.

Spreading Improvement Strategies Within a Large Home Healthcare Organization

&NA; This article describes the process of the spread of improvement strategies to improve relationships between professional and paraprofessional service providers within a large home healthcare organization and its partnering home health aide vendors. We describe the method for spreading the strategies, which emerged from a learning collaborative, and the successes and challenges of the spread. Two case studies highlight how the attributes of innovations and the methods for spreading them can influence the effectiveness of an improvement effort.

A conceptual framework for examining healthcare access and navigation: a behavioral-ecological perspective

This paper introduces a conceptual framework for investigating individual ability to navigate healthcare in the contexts of the built environment, social environment, and healthcare infrastructure in which a person is embedded. Given the complexity of healthcare delivery in the United States, consumers are expected to have an increasingly sophisticated set of skills in order to effectively navigate and benefit from the healthcare resources available to them. Addressing barriers to navigation in vulnerable populations may be essential to reducing health disparities. This paper builds on previous conceptual developments in the areas of healthcare use, navigation, and ecological perspectives on health in order to present a behavioral-ecological framework for examining healthcare navigation and access. The model posits that healthcare navigation is an ecologically informed process not only because of the spatial distribution of health services, but because of the spatial distribution of individual and environmental factors that influence decision-making and behavior with respect to service use. The paper discusses areas for further research on healthcare navigation, challenges for research, and implications for reducing health disparities.

Neighborhood Environment and Disparities in Health Care Access Among Urban Medicare Beneficiaries With Diabetes: A Retrospective Cohort Study.

Older adults’ health is sensitive to variations in neighborhood environment, yet few studies have examined how neighborhood factors influence their health care access. This study examined whether neighborhood environmental factors help to explain racial and socioeconomic disparities in health care access and outcomes among urban older adults with diabetes. Data from 123 233 diabetic Medicare beneficiaries aged 65 years and older in New York City were geocoded to measures of neighborhood walkability, public transit access, and primary care supply. In 2008, 6.4% had no office-based “evaluation and management” (E&M) visits. Multilevel logistic regression indicated that this group had greater odds of preventable hospitalization in 2009 (odds ratio = 1.31; 95% confidence interval: 1.22-1.40). Nonwhites and low-income individuals had greater odds of a lapse in E&M visits and of preventable hospitalization. Neighborhood factors did not help to explain these disparities. Further research is needed on the mechanisms underlying these disparities and older adults’ ability to navigate health care. Even in an insured population living in a provider-dense city, targeted interventions may be needed to overcome barriers to chronic illness care for older adults in the community.

The Homecare Aide Workforce Initiative: Implementation and Outcomes:

Improved training and support are thought to improve retention among direct care workers. However, few studies have examined actual retention. This study examined satisfaction and retention among home health aides enrolled in the “Homecare Aide Workforce Initiative” (HAWI) at three New York agencies. Data included surveys of HAWI trainees and new hires and payroll data for HAWI graduates and others. Three months after hire, 91% of HAWI hires reported they were “very satisfied” or “satisfied” with the job; 57% reported they were “not at all likely” to leave their job in the coming year. At 365 days, 60% were still working. In logistic regression, the odds of being retained at 3, 6, and 12 months were significantly higher among HAWI graduates than non-HAWI new hires. Although not a randomized trial, the study demonstrates an association between participation in an innovative entry-level workforce program and superior 3-, 6-, and 12-month retention.

Driving Status and Transportation Disadvantage Among Medicare Beneficiaries

Transportation disadvantage may have important implications for the health, well-being, and quality of life of older adults. This study used the 2015 National Health Aging Trends Study, a nationally representative study of Medicare beneficiaries aged 65 and over (N = 7,498), to generate national estimates of transportation modalities and transportation disadvantage among community-dwelling older adults in the United States. An estimated 10.8 million community-dwelling older adults in the United States rarely or never drive. Among nondrivers, 25% were classified as transportation disadvantaged, representing 2.3 million individuals. Individuals with more chronic medical conditions and those reliant on assistive devices were more likely to report having a transportation disadvantage (p < .05). Being married resulted in a 50% decreased odds of having a transportation disadvantage (p < .01). Some individuals may be at higher risk for transportation-related barriers to engaging in valued activities and accessing care, calling for tailored interventions such as ride-share services combined with care coordination strategies.

Individual and Environmental Determinants of Provider Continuity Among Urban Older Adults With Heart Failure: A Retrospective Cohort Study

Objective: Continuity in patient–provider relationships is important to providing high-quality care for older adults with chronic conditions. We investigated individual and environmental determinants of provider continuity for office-based physician visits among urban older adults with heart failure. Method: We linked Medicare claims with data on neighborhood characteristics for a retrospective cohort of community-dwelling Medicare beneficiaries with heart failure in New York City (N = 50,475). Results: Mean continuity using the Bice–Boxerman index was 0.33 (SD = 0.22) (possible range of 0 [no continuity] to 1 [perfect continuity]). Multivariable regression indicated that provider continuity was higher among older, female, and dually eligible beneficiaries. Those with more chronic conditions had higher continuity, controlling for number of medical specialties seen. Continuity was lower for beneficiaries in neighborhoods with high median income and high primary care density. Conclusion: Individual and environmental predictors of provider continuity among urban older adults with heart failure could help to identify those at risk of care fragmentation.