Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Benzer JK

PROVIDER: S-EPMC6542895 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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

Benzer Justin K JK Singer Sara J SJ Mohr David C DC McIntosh Nathalie N Meterko Mark M Vimalananda Varsha G VG Harvey Kimberly L L KLL Seibert Marjorie Nealon MN Charns Martin P MP

Journal of general internal medicine 20190501 Suppl 1

<h4>Background</h4>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.<h4>Objective</h4>To determine how cardiovascular and mental health comorbidities relate to patient-centered coordinated care in the Department of Veterans Affairs.<h4>Design</h4>This observational st ...[more]

PMID: 31098975

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Project description:Ethnic minority patients receive lower priority triage assignments in Veteran's Affairs (VA) emergency departments (EDs) compared to White patients, but it is currently unknown whether this disparity arises from generalized biases across the triage assessment process or from differences in how objective and/or subjective institution-level or person-level information is incorporated into the triage assessment process, thus contributing to disparate treatment.The VA database of electronic medical records of patients who presented to the VA ED from 2008 to 2012 was used to measure patient ethnicity, self-reported pain intensity (PI) levels, heart rate (HR), respiratory rate (RR), and nurse-provided triage assignment, the Emergency Severity Index (ESI) score. Multilevel, random effects linear modeling was used to control for demographic and clinical characteristics of patients as well as age, gender, and experience of triage nurses.A total of 359,642?patient/provider encounters between 129,991 VA patients and 774 nurses were included in the study. Patients were 61% non-Hispanic White [NHW], 28% African-American, 7% Hispanic, 2% Asian-American, <1% American Indian/Alaska Native, and 1% mixed ethnicity. After controlling for demographic characteristics of nurses and patients, African-American, Hispanic, and mixed-ethnicity patients reported higher average PI scores but lower HRs and RRs than NHW patients. NHW patients received higher priority ESI ratings with lower PI when compared against African-American patients. NHW patients with low to moderate HRs also received higher priority ESI scoring than African-American, Hispanic, Asian-American, and Mixed-ethnicity patients; however, when HR was high NHWs received lower priority ESI ratings than each of the minority groups (except for African-Americans).This study provides evidence for systemic differences in how patients' vital signs are applied for determining ESI scores for different ethnic groups. Additional prospective research will be needed to determine how this specific person-level mechanism affects healthcare quality and outcomes.

Project description:BACKGROUND:Video-based health care can help address access gaps for patients and is rapidly being offered by health care organizations. However, patients who lack access to technology may be left behind in these initiatives. In 2016, the US Department of Veterans Affairs (VA) began distributing video-enabled tablets to provide video visits to veterans with health care access barriers. OBJECTIVE:This study aimed to evaluate veterans' experiences with VA-issued tablets and identify patient characteristics associated with preferences for video visits vs in-person care. METHODS:A baseline survey was sent to the tablet recipients, and a follow-up survey was sent to the respondents 3 to 6 months later. Multivariate logistic regression was used to identify patient characteristics associated with preferences for care, and we examined qualitative themes around care preferences using standard content analysis methods for coding the data collected in the open-ended questions. RESULTS:Patient-reported access barriers centered around transportation and health-related challenges, outside commitments, and feeling uncomfortable or uneasy at the VA. Satisfaction with the tablet program was high, and in the follow-up survey, approximately two-thirds of tablet recipients preferred care via a tablet (194/604, 32.1%) or expressed that video-based and in-person care were "about the same" (216/604, 35.7%), whereas one-third (192/604, 31.7%) indicated a preference for in-person care. Patients were significantly more likely to report a preference for video visits (vs a preference for in-person visits or rating them "about the same") if they felt uncomfortable in a VA setting, reported a collaborative communication style with their doctor, had a substance use disorder diagnosis, or lived in a place with better broadband coverage. Patients were less likely to report a preference for video visits if they had more chronic conditions. Qualitative analyses identified four themes related to preferences for video-based care: perceived improvements in access to care, perceived differential quality of care, feasibility of obtaining necessary care, and technology-related challenges. CONCLUSIONS:Many recipients of VA-issued tablets report that video care is equivalent to or preferred to in-person care. Results may inform efforts to identify good candidates for virtual care and interventions to support individuals who experience technical challenges.

Project description:BackgroundIdentifying feasible and effective implementation strategies remains a significant challenge. At present, there is a gap between the number of strategies prospectively included in implementation trials, typically four or fewer, and the number of strategies utilized retrospectively, often 20 or more. This gap points to the need for developing a better understanding of the range of implementation strategies that should be considered in implementation science and practice.MethodsThis study elicited expert recommendations to identify which of 73 discrete implementation strategies were considered essential for implementing three mental health care high priority practices (HPPs) in the US Department of Veterans Affairs: depression outcome monitoring in primary care mental health (n = 20), prolonged exposure therapy for treating posttraumatic stress disorder (n = 22), and metabolic safety monitoring for patients taking antipsychotic medications (n = 20). Participants had expertise in implementation science, the specific HPP, or both. A highly structured recommendation process was used to obtain recommendations for each HPP.ResultsMajority consensus was identified for 26 or more strategies as absolutely essential; 53 or more strategies were identified as either likely essential or absolutely essential across the three HPPs.ConclusionsThe large number of strategies identified as essential starkly contrasts with existing research that largely focuses on application of single strategies to support implementation. Systematic investigation and documentation of multi-strategy implementation initiatives is needed.Plain language summaryMost implementation studies focus on the impact of a relatively small number of discrete implementation strategies on the uptake of a practice. However, studies that systematically survey providers find that dozens or more discrete implementation strategies can be identified in the context of the implementation initiative. This study engaged experts in implementation science and clinical practice in a structured recommendation process to identify which of the 73 Expert Recommendations for Implementing Change (ERIC) implementation strategies were considered absolutely essential, likely essential, likely inessential, and absolutely inessential for each of the three distinct mental health care practices: depression outcome monitoring in primary care, prolonged exposure therapy for posttraumatic stress disorder, and metabolic safety monitoring for patients taking antipsychotic medications. The results highlight that experts consider a large number of strategies as absolutely or likely essential for supporting the implementation of mental health care practices. For example, 26 strategies were identified as absolutely essential for all three mental health care practices. Another 27 strategies were identified as either absolutely or likely essential across all three practices. This study points to the need for future studies to document the decision-making process an initiative undergoes to identify which strategies to include and exclude in an implementation effort. In particular, a structured approach to this documentation may be necessary to identify strategies that may be endogenous to a care setting and that may not be otherwise be identified as being "deliberately" used to support a practice or intervention.

Dataset Information

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

Publications

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

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