Assessing Patient Activation among High-Need, High-Cost Patients in Urban Safety Net Care Settings

Bridging health self-efficacy and patient engagement with patient-centered culturally sensitive health care for Black American adults

This study investigates whether systems-level interventions, specifically patient-centered culturally sensitive health care (PC-CSHC) from healthcare providers, office staff, and the clinic environment, moderate the relationship between health self-efficacy and patient engagement among Black American adults. An online survey was completed by 198 Black American adults. PC-CSHC from healthcare providers, office staff, and the clinic environment did not mitigate the adverse effects of low health self-efficacy on patient engagement. However, PC-CSHC from healthcare providers (b = 0.38) was as significant as health self-efficacy (b = 0.37) in predicting patient engagement, R2 = 0.47, F(9, 177) = 19.61, p < 0.001. Provider-delivered PC-CSHC can enhance patient engagement among Black American adults. This systems-level approach has the potential to reach more patients than intrapersonal interventions alone and alleviates the undue burden placed on Black Americans to leverage intrapersonal strengths in the face of health disparities rooted in structural racism.

"Housing Is Health Care": Treating Homelessness in Safety-Net Hospitals

As medicine integrates social and structural determinants into health care, some health workers redefine housing as medical treatment. This article discusses how health workers in two U.S. urban safety-net hospitals worked with patients without stable housing. We observed ethnographically how health workers helped patients seek housing in a sharply stratified housing economy. Analyzing in-depth interviews and observations, we show how health workers: (1) understood housing as health care and navigated limits of individual care in a structurally produced housing crisis; and (2) developed and enacted practices of biomedical and sociopolitical stabilization, including eligibilizing and data-tracking work. We discuss how health workers bridged individually focused techniques of clinical care with structural critiques of stratified housing economies despite contradictions in this approach. Finally, we analyze the implications of providers' extension of medical stabilization into social, economic, and political realms, even as they remained caught in the structural dynamics they sought to address.

Cancer follow-up supported by patient-reported outcomes in patients undergoing intended curative complex surgery for advanced cancer

BACKGROUND AND AIM

Patient activation (PA) and Patient Involvement (PI) are considered elements in good survivorship. We aimed to evaluate the effect of a follow-up supported by electronic patient-reported outcomes (ePRO) on PA and PI.

METHOD

From February 2017 to January 2019, we conducted an explorative interventional study. We included 187 patients followed after intended curative complex surgery for advanced cancer at two different Departments at a University Hospital. Prior to each follow-up consultation, patients used the ePRO to screen themselves for clinical important symptoms, function and needs. The ePRO was graphically presented to the clinician during the follow-up, aiming to facilitate patient activation and involvement in each follow-up. PA was measured by the Patient Activation Measurement (PAM), while PI was measured by five indicator questions. PAM and PI data compared between (- ePRO) and interventional (+ ePRO) consultations. PAM data were analysed using a linear mixed effect regression model with intervention (yes/no) and time along with the interaction between them as categorical fixed effects. The analyses were further adjusted for time (days) since surgery.

RESULTS

According to our data, ePRO supported consultations did not improve PA. The average mean difference in PAM score between + ePRO and - ePRO consultations were - 0.2 (95% confidence interval - 2.6; 2.2, p = 0.9). There was no statistically significant improvement in PAM scores over time in neither + ePRO nor - ePRO group (p = 0.5). Based on the five PI-indicator questions, the majority of all consultations were evaluated as "some, much or very much" involved in consultation; providing a wider scope of dialogue, encouraged patients to ask questions and share their experiences and concerns. Nevertheless, another few patients reported not to be involved at all in the consultations.

CONCLUSION

We did not demonstrate evidence for ePRO supported consultations to improve patient activation, and patient activation did not improve over time. Our results generate the hypotheses that factors related to ePRO supported consultation had the potential to support PI by offering a wider scope of dialogue, and encourage patients to ask questions and share their experiences and concerns during follow-up.

Patient Activation, Depressive Symptoms, and Self-Rated Health: Care Management Intervention Effects among High-Need, Medically Complex Adults

The purpose of this randomized controlled trial (n = 268) at a Federally Qualified Health Center was to evaluate the outcomes of a care management intervention versus an attention control telephone intervention on changes in patient activation, depressive symptoms and self-rated health among a population of high-need, medically complex adults. Both groups had similar, statistically significant improvements in patient activation and self-rated health. Both groups had significant reductions in depressive symptoms over time; however, the group who received the care management intervention had greater reductions in depressive symptoms. Participants in both study groups who had more depressive symptoms had lower activation at baseline and throughout the 12 month study. Findings suggest that patients in the high-need, medically complex population can realize improvements in patient activation, depressive symptoms, and health status perceptions even with a brief telephone intervention. The importance of treating depressive symptoms in patients with complex health conditions is highlighted.

Characteristics of Departments That Provided Primary Support for Households with Complex Care Needs in the Community: A Preliminary Cross-Sectional Study

To prevent emergency admissions and save medical costs, support should be provided to households that include people with complex care needs to allow them to continue living in their own homes. This community-based, cross-sectional study was conducted to (1) identify which departments that public health nurses (PHNs) worked have been the primary providers of support for households with complex care needs and (2) clarify the length of time required by each department to resolve primary health problems. We analyzed 148 households with complex care needs that were registered in City A from April 2018 to July 2019. Four types of departments were the primary support providers for complex care households: the department supporting persons with disabilities (n = 54, 36.5%), public/community health centers (n = 47, 31.8%), department of older adults (n = 29, 19.6%), and welfare offices (n = 18, 12.2%). The Mantel–Cox test showed that welfare offices mainly supported households in economic distress and needed significantly less time to resolve their primary health issues than other departments. For early detection and resolution of primary health problems for households with complex care needs, PHNs and healthcare professionals should focus on their economic distress and enhanced multidisciplinary approaches.

Household characteristics of persons with complex care needs in the community: A preliminary study

Aim

To identify the characteristics of households of persons with complex care needs and clarify the care period length required to resolve their primary health issues.

Design

A descriptive cross-sectional study design.

Methods

We collected registered data and nursing records from 155 households living in City A within the Tokyo Metropolis. They were designated as complex care cases by the home care and life support centre and needed a multidisciplinary approach to care from April 2018-July 2019.

Results

Most households comprised an elderly with a single adult child (N = 47, 30.3%). Mental illness and economic distress overlapped as the most common issues. The mean length of care period was 147.7 days (SD = 120.6). The log-rank test showed that single persons took significantly less time to resolve their primary health issues than elders with single-child households or single-person <65-year-old households.

Social Literacy: Nurses' Contribution Toward the Co-Production of Self-Management

We share findings from a larger ethnographic study of two urban complex care management programs in the Western United States. The data presented stem from in-depth interviews conducted with 17 complex care management RNs and participant observations of home visits. We advance the concept of social literacy as a nursing attribute that comprises an RN's recognition and responses to the varied types of hinderances to self-management with which patients must contend in their lived environment. It is through social literacy that complex care management RNs reconceptualize and understand health literacy to be a product born out of the social circumstances in which patients live and the stratified nature of the health care systems that provide them care. Social literacy provides a broader framework for health literacy-one that is situated within the patient's social context through which complex care management RNs must navigate for self-management goals to be achieved.

Opportunity or Burden? A Behavioral Framework for Patient Engagement

BACKGROUND

Engaging patients as partners in their care is clinically appealing, yet challenging to implement, and we lack a measurement framework that is applicable to vulnerable populations. To address this gap, we conducted a qualitative study to refine a conceptual framework that reflects an individual's propensity to engage with care.

OBJECTIVES

Our objectives were to refine the framework's domains of engagement behavior; identify key behaviors within each domain that describe engagement with providers, health systems or settings; and illustrate examples for each behavior where higher self-efficacy describes an opportunity to enhance engagement, and lower self-efficacy describes difficulties with engagement that risk burden.

RESEARCH DESIGN AND SAMPLE

We elicited patient perspectives by conducting individual semistructured interviews with veterans receiving care for mental health and/or chronic conditions from the Veterans Health Administration. Data were analyzed using the framework method.

RESULTS

The resulting engagement framework encompassed 4 interrelated domains: Self-Management, Health Information Use, Collaborative Communication, and Healthcare Navigation. The propensity to engage with care was conceptualized as the cumulative self-efficacy to engage in behaviors across these domains. Results emphasize the collaborative nature of engagement behaviors and the impact of veteran cultural influences via perceptions of collective efficacy.

CONCLUSIONS

This framework can be applied to judgments regarding a patient's propensity to engage in care. Because self-efficacy is an individual's context-specific judgment of their capabilities, this framework may inform health care and social service interventions that aim to engage patients. This maybe especially useful for public sector settings and populations with social risks.

Developing a Quality Measurement Strategy in an Academic Primary Care Setting: An Environmental Scan

PURPOSE

The purpose of this project was to: (1) develop a strategy for primary care quality measurement using an environmental scan and interviews to identify best practices and candidate measures; (2) present recommendations to facilitate successful measurement.

METHODS

Following stakeholder interviews and review of existing measures, we created a three-tiered recommendation system for selecting and implementing measures. We also developed a framework for reviewing and prioritizing measures and prepared a detailed project report.

RESULTS

Interviews provided a broader perspective on measuring quality, including implementing measures, measuring value, and identifying measurement gaps. Our recommendations fall into three tiers: Tier 1 measures can be implemented quickly and include clinical processes and outcomes for preventive care and disease states. Tier 2 measures require modifications to electronic health record, workflows, and/or staff preparation. Tier 3 (Strategic Vision) addresses topics that should be incorporated in the future to ensure high-quality primary care (adherence, patient activation, patient experience, teamness, staff satisfaction, and value), and infrastructure development to support ongoing quality measurement.

CONCLUSIONS

Implementing a quality measurement strategy is challenging and labor-intensive but is necessary to improve healthcare quality. Our work demonstrates the effort and investment required to progress quality measurement and offers recommendations for successfully undertaking this type of endeavor.

Contingent engagement: What we learn from patients with complex health problems and low socioeconomic status

OBJECTIVE

Elicit patients' perceptions of factors that facilitate their engagement in care METHODS: In-depth interviews with 20 adult Medicaid patients who had complex health problems, frequent hospitalizations/emergency department use, and who were enrolled in an intensive, team-based care program designed to address medical, behavioral, and social needs.

RESULTS

Prior to engaging in the program, participants described weak relationships with primary care providers, frequent hospitalizations and emergency visits, poor adherence to medications and severe social barriers to care. After participating in the program, participants identified key factors that enabled them to develop trust and engage with care including: availability for extended intensive interactions, a non-judgmental approach, addressing patients' material needs, and providing social contact for isolated patients. After developing relationships with their care team, participants described changes such as sustained interactions with their primary care team and incremental improvements in health behaviors.

CONCLUSION

These findings illuminate factors promoting "contingent engagement" for low socio-economic status patients with complex health problems, which allow them to become proactive in ways commensurate with their circumstances, and offers insights for designing interventions to improve patient outcomes.

PRACTICE IMPLICATIONS

For these patients, engagement is contingent on healthcare providers' efforts to develop trust and address patients' material needs.