Rural Veterans' Experiences with Social Risk Factors: Impacts, Challenges, and Care System Recommendations.

BACKGROUND: Social risk factors, such as food insecurity and financial needs, are associated with increased risk of cardiovascular diseases, health conditions that are highly prevalent in rural populations. A better understanding of rural Veterans' experiences with social risk factors can inform expansion of Veterans Health Administration (VHA) efforts to address social needs. OBJECTIVE: To examine social risk and need from rural Veterans' lived experiences and develop recommendations for VHA to address social needs. DESIGN: We conducted semi-structured interviews with participants purposively sampled for racial diversity. The interview guide was informed by Andersen's Behavioral Model of Health Services Use and the Outcomes from Addressing Social Determinants of Health in Systems framework. PARTICIPANTS: Rural Veterans with or at risk of cardiovascular disease who participated in a parent survey and agreed to be recontacted. APPROACH: Interviews were recorded and transcribed. We analyzed transcripts using directed qualitative content analysis to identify themes. KEY RESULTS: Interviews (n = 29) took place from March to June 2022. We identified four themes: (1) Social needs can impact access to healthcare, (2) Structural factors can make it difficult to get help for social needs, (3) Some Veterans are reluctant to seek help, and (4) Veterans recommended enhancing resource dissemination and navigation support. CONCLUSIONS: VHA interventions should include active dissemination of information on social needs resources and navigation support to help Veterans access resources. Community-based organizations (e.g., Veteran Service Organizations) could be key partners in the design and implementation of future social need interventions.

Developing Relational Coordination: A Qualitative Study of Outpatient Mental Health Teams.

Previous studies have shown Relational Coordination improves team functioning in healthcare settings. The aim of this study was to examine the relational factors needed to support team functioning in outpatient mental health care teams with low staffing ratios. We interviewed interdisciplinary mental health teams that had achieved high team functioning despite low staffing ratios in U.S. Department of Veterans Affairs medical centers. We conducted qualitative interviews with 21 interdisciplinary team members across three teams within two medical centers. We used directed content analysis to code the transcripts with a priori codes based on the Relational Coordination dimensions, while also being attentive to emergent themes. We found that all seven dimensions of Relational Coordination were relevant to improved team functioning: frequent communication, timely communication, accurate communication, problem-solving communication, shared goals, shared knowledge, and mutual respect. Participants also described these dimensions as reciprocal processes that influenced each other. In conclusion, relational Coordination dimensions can play pivotal roles in improving team functioning both individually and in combination. Communication dimensions were a catalyst for developing relationship dimensions; once relationships were developed, there was a mutually reinforcing cycle between communication and relationship dimensions. Our results suggest that establishing high-functioning mental health care teams, even in low-staffed settings, requires encouraging frequent communication within teams. Moreover, attention should be given to ensuring appropriate representation of disciplines among leadership and defining roles of team members when teams are formed.

Promoting high-functioning mental health treatment teams in the context of low staffing ratios.

BACKGROUND: Many previous studies of health care teamwork have taken place in clinical teams with high staffing ratios (i.e., high ratios of staff to patients). PURPOSE: The aim of this study was to identify clinicians' viewpoints of foundational resources necessary to support good team functioning in the context of low staffing ratios. METHODOLOGY: We used administrative data, validated with local mental health chiefs, to identify mental health teams that had achieved high team functioning despite low staffing ratios in U.S. Department of Veterans Affairs medical centers. Guided by a recently developed model of team effectiveness, the Team Effectiveness Pyramid, we conducted qualitative interviews with 21 team members across three teams within two medical centers. Interview questions focused on the resources needed to support good team functioning despite low staffing ratios. We used directed content analysis to analyze results. RESULTS: We found there were several domains of relevant resources: material, staffing, temporal, organizational, and psychological. These represent an expansion of the domains originally included in the Team Effectiveness Pyramid. CONCLUSIONS: Within the five domains, we identified key tensions to be addressed when forming teams, including the balances between providing care for new versus established patients, emphasizing shared caseloads within the team versus matching patients to clinicians based on individual expertise, and establishing reporting structures by clinical discipline versus team membership. PRACTICE IMPLICATIONS: Establishing high-functioning health care teams in the context of low staffing ratios requires attention to key resource domains and fundamental trade-offs in how teams are structured.

Organizational Coordination and Patient Experiences of Specialty Care Integration.

BACKGROUND: Delivering care to patients with complex healthcare needs benefits from coordination among healthcare providers. Greater levels of care coordination have been associated with more favorable patient experiences, cost management, and lower utilization of services. Organizational approaches consider how systems, practices, and relationships influence coordination and associated outcomes. OBJECTIVE: Examine measures of organizational coordination and their association with patient experiences of care coordination involving specialists. DESIGN: Cross-sectional surveys of patients and primary care providers (PCPs). PARTICIPANTS: Final sample included 3183 patients matched to 233 PCPs from the Veterans Health Administration. All patients had a diagnosis of type 2 diabetes mellitus and one of four other conditions: hypertension; congestive heart failure; depression/anxiety; or severe mental illness/posttraumatic stress disorder. MAIN MEASURES: Patients completed a survey assessing perceptions of coordinated care. We examined ratings on three domains: specialist knowledge management; knowledge integration across settings and time; and knowledge fragmentation across settings and time. We created care coordination measures involving the PCP and three specialty provider types. PCPs provided ratings on relational coordination for specialists, feedback coordination, and team coordination. We aligned patient's specialty services used with corresponding PCP ratings of that specialty. KEY RESULTS: Patient ratings were significantly lower on specialist knowledge management and knowledge integration when either PCPs did not use feedback coordination (b = - .20; b = - .17, respectively) or rated feedback coordination lower (b = - .08 for both). Teamwork was significantly related to specialist knowledge management (b = .06), knowledge integration (b = .04); and knowledge fragmentation (b = - .04). Relational coordination was related to coordination between the primary care provider and (i) diabetes specialist (b = .09) and (ii) mental health provider (b = .12). CONCLUSIONS: Practices to improve provider coordination within and across primary care and specialty care services may improve patient experiences of care coordination. Improvements in these areas may improve care efficiency and effectiveness.

Survey of Patient-Centered Coordination of Care for Diabetes with Cardiovascular and Mental Health Comorbidities in the Department of Veterans Affairs.

BACKGROUND: Multiple comorbidities thought to be associated with poor coordination due to the need for shared treatment plans and active involvement of patients, among other factors. Cardiovascular and mental health comorbidities present potential coordination challenges relative to diabetes. OBJECTIVE: To determine how cardiovascular and mental health comorbidities relate to patient-centered coordinated care in the Department of Veterans Affairs. DESIGN: This observational study used a 2 × 2 factorial design to determine how cardiovascular and mental health comorbidities are associated with patient perceptions of coordinated care among patients with type 2 diabetes mellitus as a focal condition. PARTICIPANTS: Five thousand eight hundred six patients attributed to 262 primary care providers, from a national sample of 29 medical centers, who had completed an online survey of patient-centered coordinated care in the Department of Veterans Affairs (VA). MAIN MEASURES: Eight dimensions from the Patient Perceptions of Integrated Care (PPIC) survey, a state-of-the-art measure of patients' perspective on coordinated and patient-centered care. KEY RESULTS: Mental health conditions were associated with significantly lower patient experiences of coordinated care. Hypotheses for disease severity were not supported, with associations in the hypothesized direction for only one dimension. CONCLUSIONS: Results suggest that VA may be adequately addressing coordination needs related to cardiovascular conditions, but more attention could be placed on coordination for mental health conditions. While specialized programs for more severe conditions (e.g., heart failure and serious mental illness) are important, coordination is also needed for more common, less severe conditions (e.g., hypertension, depression, anxiety). Strengthening coordination for common, less severe conditions is particularly important as VA develops alternative models (e.g., community care) that may negatively impact the degree to which care is coordinated.

The National Cancer Institute's Health Information National Trends Survey [HINTS]: a national cross-sectional analysis of talking to your doctor and other healthcare providers for health information.

BACKGROUND: The need to understand preferred sources of health information remains important to providing patient-centered care. The Internet remains a popular resource for health information, but more traditional sources may still be valid for patients during a recent health need. This study sought to understand the characteristics of patients that turn to their doctor or healthcare provider first for a recent health or medical information need. METHODS: Using the national cross-sectional survey, Health Information National Trend Study [HINTS], characteristics of those who sought a doctor or healthcare provider for a recent health information need were compared to other sources. Weighted survey responses from Cycle 1 and Cycle 2 of the HINTS survey were used for multivariable logistic regression. RESULTS: A total 5,307 patient responses were analyzed. Overall, those who seek a doctor or healthcare provider first for a health need are female, 46-64 years, White non-Hispanic, educated, in good health and users of the Internet. Yet, adjusted logistic regressions showed that those who sought a doctor or healthcare provider first during a recent health information need compared to other sources were most likely to be 65+ years, in poor health, less educated and have health insurance. CONCLUSIONS: Patients who seek their doctor or healthcare provider first for health information rather than other sources of information represent a unique population. Doctors or healthcare providers remain an important resource for these patients during recent needs, despite the wide use of the Internet as a source of health information.

Identification of Implementation Strategies Using the CFIR-ERIC Matching Tool to Mitigate Barriers in a Primary Care Model for Older Veterans.

BACKGROUND AND OBJECTIVES: As the proportion of the U.S. population over 65 and living with complex chronic conditions grows, understanding how to strengthen the implementation of age-sensitive primary care models for older adults, such as the Veterans Health Administration's Geriatric Patient-Aligned Care Teams (GeriPACT), is critical. However, little is known about which implementation strategies can best help to mitigate barriers to adopting these models. We aimed to identify barriers to GeriPACT implementation and strategies to address these barriers using the Consolidated Framework for Implementation Research-Expert Recommendations for Implementing Change (CFIR-ERIC) Matching Tool. RESEARCH DESIGN AND METHODS: We conducted a content analysis of qualitative responses obtained from a web-based survey sent to GeriPACT members. Using a matrix approach, we grouped similar responses into key barrier categories. After mapping barriers to CFIR, we used the Tool to identify recommended strategies. RESULTS: Across 53 Veterans Health Administration hospitals, 32% of team members (n = 197) responded to our open-ended question about barriers to GeriPACT care. Barriers identified include Available Resources, Networks & Communication, Design Quality & Packaging, Knowledge & Beliefs, Leadership Engagement, and Relative Priority. The Tool recommended 12 Level 1 (e.g., conduct educational meetings) and 24 Level 2 ERIC strategies (e.g., facilitation). Several strategies (e.g., conduct local consensus discussions) cut across multiple barriers. DISCUSSION AND IMPLICATIONS: Strategies identified by the Tool can inform on-going development of the GeriPACT model's effective implementation and sustainment. Incorporating cross-cutting implementation strategies that mitigate multiple barriers at once may further support these next steps.

Development and Validation of an Instrument to Measure Staff Perceptions of Recovery Climate and Culture in Mental Health Programs.

OBJECTIVE: Few existing instruments measure recovery-oriented organizational climate and culture. This study developed, psychometrically assessed, and validated an instrument to measure recovery climate and culture. METHODS: Organizational theory and an evidence-based conceptualization of mental health recovery guided instrument development. Items from existing instruments were reviewed and adapted, and new items were developed as needed. All items were rated by recovery experts. A 35-item instrument was pilot-tested and administered to a national sample of mental health staff in U.S. Department of Veterans Affairs Psychosocial Rehabilitation and Recovery Centers (PRRCs). Analysis entailed an exploratory factor analysis (EFA) and inter-item reliability and scale correlation assessment. Blinded site visits to four PRRCs were performed to validate the instrument. RESULTS: The EFA determined a seven-factor solution for the data. The factors identified were staff expectations, values, leadership, rewards, policies, education and training, and quality improvement. Seven items did not meet retention criteria and were dropped from the final instrument. The instrument exhibited good internal consistency (Cronbach's α=0.81; subscales, α=0.84-0.88). Scale correlations were between 0.16 and 0.61, well below the threshold (α=0.9) for indicating overlapping constructs. Site visitors validated the instrument by correctly identifying high-scoring and low-scoring centers. CONCLUSIONS: These findings provide a psychometrically tested and validated instrument for measuring recovery climate and culture in mental health programs. This instrument can be used in evaluation of mental health services to determine the extent to which programs possess the organizational precursors that drive recovery-oriented service delivery.