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BackgroundVideo-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. ObjectiveThis study aimed to evaluate veterans’ experiences with VA-issued tablets and identify patient characteristics associated with preferences for video visits vs in-person care. MethodsA 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. ResultsPatient-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. ConclusionsMany 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.

BackgroundSelf-management is essential to caring for high-need, high-cost (HNHC) populations. Advances in mobile phone technology coupled with increased availability and adoption of health-focused mobile apps have made self-management more achievable, but the extent and quality of the literature supporting their use is not well defined. ObjectiveThe purpose of this review was to assess the breadth, quality, bias, and types of outcomes measured in the literature supporting the use of apps targeting HNHC populations. MethodsData sources included articles in PubMed and MEDLINE (National Center for Biotechnology Information), EMBASE (Elsevier), the Cochrane Central Register of Controlled Trials (EBSCO), Web of Science (Thomson Reuters), and the NTIS (National Technical Information Service) Bibliographic Database (EBSCO) published since 2008. We selected studies involving use of patient-facing iOS or Android mobile health apps. Extraction was performed by 1 reviewer; 40 randomly selected articles were evaluated by 2 reviewers to assess agreement. ResultsOur final analysis included 175 studies. The populations most commonly targeted by apps included patients with obesity, physical handicaps, diabetes, older age, and dementia. Only 30.3% (53/175) of the apps studied in the reviewed literature were identifiable and available to the public through app stores. Many of the studies were cross-sectional analyses (42.9%, 75/175), small (median number of participants=31, interquartile range 11.0-207.2, maximum 11,690), or performed by an app’s developers (61.1%, 107/175). Of the 175 studies, only 36 (20.6%, 36/175) studies evaluated a clinical outcome. ConclusionsMost apps described in the literature could not be located on the iOS or Android app stores, and existing research does not robustly evaluate the potential of mobile apps. Whereas apps may be useful in patients with chronic conditions, data do not support this yet. Although we had 2-3 reviewers to screen and assess abstract eligibility, only 1 reviewer abstracted the data. This is one limitation of our study. With respect to the 40 articles (22.9%, 40/175) that were assigned to 2 reviewers (of which 3 articles were excluded), inter-rater agreement was significant on the majority of items (17 of 30) but fair-to-moderate on others.

BackgroundThe Internet is an increasingly important resource for individuals who seek information from both health professionals and peers. While the demographic and health characteristics of persons who use health information technology has been well described, less is known about the relationship between these health characteristics and level of engagement with health information technology. Even less is known about whether persons who produce Web-based health information differ in health status from persons who consume such content. ObjectiveWe explored the health characteristics of persons who engage with the Internet for the purposes of consuming or producing Web-based health information, and specifically, whether healthier versus sicker persons engage with health information technology in different ways. MethodsWe analyzed data from the 2012 Pew Health survey, a landline and cell phone survey of 3104 adults in the United States. Using multiple logistic regression with sampling weights, we examined the association between sociodemographic and health characteristics and the consumption or production of Web-based health information. Sociodemographic variables included age, sex, race, and education. Health characteristics included self-reported health status, presence of chronic condition(s), and having an acute medical exacerbation. Acute medical exacerbations were defined as an emergency department visit, hospitalization, or other serious medical emergency in the last 12 months. ResultsThe majority of the sample reported good or excellent health (79.7%), although 50.3% reported having at least one chronic condition. About a fifth (20.2%) of the sample experienced an acute medical exacerbation in the past year. Education was the sociodemographic characteristic most strongly associated with consuming Web-based health information. The strongest health-related predictors of consuming Web-based health information were an acute medical exacerbation (OR 2.39, P

BackgroundAnti-Black racism is prevalent in medicine, and anti-racism training is needed in medical education. One such training is the Presence 5 for Racial Justice (P5RJ) Curriculum which covers evidence-based anti-racism communication strategies that promote health equity for Black patients. The P5RJ Curriculum was developed using feedback from clinicians and trainees with diversity, equity, and inclusion (DEI) experience. In this study, we identify themes in recommended anti-racism language and phrases that surveyed clinicians and trainees use to promote racial justice and health equity in clinical care for Black patients.MethodsSecondary analysis of survey responses to identify themes in qualitative data.DatasetSurvey responses of specific phrases for anti-racism communication based on P5RJ Curriculum feedback.Population studiedN = 50 respondents (27 clinicians, 17 medical trainees, 6 unreported) recruited through convenience sampling and listservs of clinicians with DEI experience. An inductive qualitative analysis was performed on survey responses to identify emerging themes.ResultsEmerging themes from survey responses reflected four communication practices: "Inquiry" was the predominant practice (59%), followed by "Empathy" (25%), "Statements of Allyship" (9%), and "Self-Accountability" (8%).ConclusionInquiry and empathy may be predominant communication practices when addressing anti-Black racism in medicine. There is an opportunity to expand anti-racism communication tools with statements of self-accountability and allyship. Future research is necessary to analyze the patient voice on clinician communication practices that promote anti-racism in clinical care.

BackgroundMany patients with chronic conditions are supported by out-of-home informal caregivers—family members, friends, and other individuals who provide care and support without pay—who, if armed with effective consumer health information technology, could inexpensively facilitate their care. ObjectiveWe sought to understand caregivers’ use of, interest in, and perceived barriers to health information technology for out-of-home caregiving. MethodsWe conducted 2 sequential Web-based surveys with a national sample of individuals who provide out-of-home caregiving to an adult family member or friend with a chronic illness. We queried respondents about their use of health information technology for out-of-home caregiving and used multivariable regression to investigate caregiver and care-recipient characteristics associated with caregivers’ technology use for caregiving. ResultsAmong 316 out-of-home caregiver respondents, 34.5% (109/316) reported using health information technology for caregiving activities. The likelihood of a caregiver using technology increased significantly with intensity of caregiving (as measured by number of out-of-home caregiving activities). Compared with very low intensity caregivers, the adjusted odds ratio (OR) of technology use was 1.88 (95% CI 1.01-3.50) for low intensity caregivers, 2.39 (95% CI 1.11-5.15) for moderate intensity caregivers, and 3.70 (95% CI 1.62-8.45) for high intensity caregivers. Over 70% (149/207) of technology nonusers reported interest in using technology in the future to support caregiving. The most commonly cited barriers to technology use for caregiving were health system privacy rules that restrict access to care-recipients’ health information and lack of familiarity with programs or websites that facilitate out-of-home caregiving. ConclusionsHealth information technology use for out-of-home caregiving is common, especially among individuals who provide more intense caregiving. Health care systems can address the mismatch between caregivers’ interest in and use of technology by modifying privacy policies that impede information exchange.

OBJECTIVE: Examine whether distribution of tablets to patients with access barriers influences their adoption and use of patient portals. MATERIALS AND METHODS: This retrospective cohort study included Veterans Affairs (VA) patients (n = 28 659) who received a VA-issued tablet between November 1, 2020 and April 30, 2021. Tablets included an app for VAs My HealtheVet (MHV) portal. Veterans were grouped into 3 MHV baseline user types (non-users, inactive users, and active users) based on MHV registration status and feature use pre-tablet receipt. Three multivariable models were estimated to examine the factors predicting (1) MHV registration among non-users, (2) any MHV feature use among inactive users, and (3) more MHV use among active users post-tablet receipt. Differences in feature use during the 6 months pre-/post-tablet were examined with McNemar chi-squared tests of proportions. RESULTS: In the 6 months post-tablet, 1298 (8%) non-users registered for MHV, 525 (24%) inactive users used at least one MHV feature, and 4234 (46%) active users increased feature use. Across veteran characteristics, there were differences in registration and feature use post-tablet, particularly among older adults and those without prior use of video visits (P

OBJECTIVE: To identify communication practices that clinicians can use to address racism faced by Black patients, build trusting relationships, and empower Black individuals in clinical care. DATA SOURCES: Qualitative data (N = 112 participants, August 2020-March 2021) collected in partnership with clinics primarily serving Black patients in Leeds, AL; Memphis, TN; Oakland, CA; and Rochester, NY. STUDY DESIGN: This multi-phased project was informed by human-centered design thinking and community-based participatory research principles. We mapped emergent communication and trust-building strategies to domains from the Presence 5 framework for fostering meaningful connection in clinical care. DATA COLLECTION METHODS: Interviews and focus group discussions explored anti-racist communication and patient-clinician trust (n = 36 Black patients; n = 40 nonmedical professionals; and n = 24 clinicians of various races and ethnicities). The Presence 5 Virtual National Community Advisory Board guided analysis interpretation. PRINCIPAL FINDINGS: The emergent Presence 5 for Racial Justice (P5RJ) practices include: (1) Prepare with intention by reflecting on identity, bias, and power dynamics; and creating structures to address bias and structural determinants of health; (2) Listen intently and completely without interruption and listen deeply for the potential impact of anti-Black racism on patient health and interactions with health care; (3) Agree on what matters most by having explicit conversations about patient goals, treatment comfort and consent, and referral planning; (4) Connect with the patients story, acknowledging socioeconomic factors influencing patient health and focusing on positive efforts; (5) Explore emotional cues by noticing and naming patient emotions, and considering how experiences with racism might influence emotions. CONCLUSION: P5RJ provides a framework with actionable communication practices to address pervasive racism experienced by Black patients. Effective implementation necessitates clinician self-reflection, personal commitment, and institutional support that offers time and resources to elicit a patients story and to address patient needs.

BackgroundDistrust in the Internet as a source of health information remains common among older adults. The influence of this distrust on Internet use for health-related purposes, however, is unclear. ObjectiveThe objective of our study was to explore how older adults’ trust in the Internet influences their online health-related activities, and to identify potential targets for improving health-related Internet resources for older adults. MethodsData were obtained from a nationally representative, random digit-dial telephone survey of 1450 adults 50 years of age and older in the United States. A model was developed to conceptualize the hypothesized relationships among individual characteristics, distrust, and avoidance of the Internet as a health resource. Multivariate logistic regression analyses were conducted to examine the association between trust in online health information and use of the Internet for health-related purposes. Additional multivariate logistic regression analyses were conducted to identify the key characteristics associated with trust in online health information, adding sequentially the variables hypothesized to account for distrust among older adults: sociodemographic and health characteristics, inexperience and technical difficulties with the Internet, negative feelings toward the Internet, and lack of awareness about the sources providing the health information found online. ResultsThe mean (SD) age of the study population was 63.7 (10.6) years. Of the 823 (56.8%) Internet users, 628 (76.3%) reported using the Internet as a health resource. Trust in the Internet as a source of health information was associated with using the Internet for a number of health activities, including searching for information about a specific health condition (adjusted OR 4.43, P < .001), purchasing prescription drugs (adjusted OR 2.61, P = .03), and talking with a health care provider about information found online (adjusted OR 2.54, P = .002). Older adults (age ≥65 years) were less likely to trust the Internet as a source of health information (OR 0.63, P = .04), even after adjusting for other sociodemographic characteristics and health and function. This age effect was only slightly attenuated (adjusted OR 0.69, P = .13) after adjusting for inexperience and technical difficulties with the Internet, but it disappeared entirely (adjusted OR 0.96, P = .91) after adjusting for other hypothesized contributors to distrust (including finding the Internet confusing because it provides “too much information,” and lacking awareness about the source providing health information found online). ConclusionsWebsite design features that clearly identify the source and credibility of information and minimize confusion may build trust among older adults and offer an opportunity to increase the utility of the Internet as a health resource for this population.

OBJECTIVE: To examine outpatient care fragmentation and its association with future hospitalization among patients at high risk for hospitalization. DATA SOURCES: Veterans Affairs (VA) and Medicare data. STUDY DESIGN: We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslaus Usual Provider of Care (UPC), Bice-Boxermans Continuity of Care Index (COCI), and Modified Modified Continuity Index (MMCI)) was associated with all-cause hospitalizations and hospitalizations related to ambulatory care sensitive conditions (ACSC) in FY15. We also examined how fragmentation varied by patients age, gender, race, ethnicity, marital status, rural status, history of homelessness, number of chronic conditions, Medicare utilization, and mental health care utilization. DATA EXTRACTION METHODS: We extracted data for 130,704 VA patients ≥65 years old with a hospitalization risk ≥90th percentile and ≥ four outpatient visits in the baseline year. PRINCIPAL FINDINGS: The mean (SD) of FY14 outpatient visits was 13.2 (8.6). Fragmented care (more providers, less care with a usual provider, more dispersed care based on COCI) was more common among patients with more chronic conditions and those receiving mental health care. In adjusted models, most fragmentation measures were not associated with all-cause hospitalization, and patients with low levels of fragmentation (more concentrated care based on UPC, COCI, and MMCI) had a higher likelihood of an ACSC-related hospitalization (AOR, 95% CI = 1.21 (1.09-1.35), 1.27 (1.14-1.42), and 1.28 (1.18-1.40), respectively). CONCLUSIONS: Contrary to expectations, outpatient care fragmentation was not associated with elevated all-cause hospitalization rates among VA patients in the top 10th percentile for risk of admission; in fact, fragmented care was linked to lower rates of hospitalization for ACSCs. In integrated settings such as the VA, multiple providers, and dispersed care might offer access to timely or specialized care that offsets risks of fragmentation, particularly for conditions that are sensitive to ambulatory care.

Context: Anti-Black racism is firmly rooted in US healthcare, but many clinicians do not have the tools and language to question their biases and address racism in clinical practice, eg biased communication practices such as non-compliance in medical documentation. Objective: Presence 5 for Racial Justice (P5RJ) leverages the Presence 5 patient-provider communication framework to identify anti-racism communication practices that support trusting relationships between physicians and Black patients and empower Black individuals in clinical care. Study design: For this multi-phased community-based participatory research (CBPR) overseen by an advisory board of clinicians and patients at four community clinics, we conducted a literature review, interviews with Black patients, clinician small-group discussions, and design thinking interviews with non-medical professionals. We mapped emergent communication practices to Presence 5 domains to create P5RJ. Setting: Four primary care clinics primarily serving Black patients in Oakland CA; Rochester NY; Leeds AL; Memphis TN. Population Studied: Total 113 participants (40 non-medical interviews, 37 Black patients interviewed, 12 advisory board members, 24 clinicians in discussion); 30 reviewed articles. Outcomes: Strategies on how providers, through communication and connection in the clinical visit, can navigate and address structural, institutional, and personally mediated forms of racism faced by Black patients. Results: P5RJ practices included: 1) Prepare with intention by reflecting on identity, bias, and power dynamics; and creating structures to address emergent bias and social determinants of health; 2) Listen intently and completely by using focused interpersonal listening without interruption and deep listening for racism impacts; give patients time and space to tell their story; 3) Agree on what matters most by having explicit conversations about patient goals, treatment comfort, consent, and referral planning; 4) Connect with the patients story by acknowledging socio-political factors influencing patient health and focusing on positive efforts/events to encourage patient agency; 5) Explore emotional cues by noticing and naming patient emotions and considering how racial trauma might influence these emotions. Conclusion: P5RJ practices offer strategies to reflect on clinician biases, address racism and known gaps in care for Black patients and promote health equity in their clinical care.

AbstractU.S. Veterans Affairs (VA) patients' multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans' use of non-VA care, including VA-purchased care ("Community Care") and Medicare.To examine the relationship between drive distance and time-key eligibility criteria for Community Care-and VA reliance (proportion of care received in VA versus Medicare and Community Care) among Veterans at high risk for hospitalization. We used prepolicy data to anticipate the impact of the 2014 Choice Act and 2018 Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION Act), which expanded access to Community Care.Cross-sectional analysis using fractional logistic regressions to examine the relationship between a Veteran's reliance on VA for outpatient primary, mental health, and other specialty care and their drive distance/time to a VA facility.Thirteen thousand seven hundred three Veterans over the age of 65 years enrolled in VA and fee-for-service Medicare in federal fiscal year 2014 who were in the top 10th percentile for hospitalization risk.Key explanatory variables were patients' drive distance to VA > 40 miles (Choice Act criteria) and drive time to VA ≥ 30 minutes for primary and mental health care and ≥60 minutes for specialty care (MISSION Act criteria).Veterans at high risk for hospitalization with drive distance eligibility had increased odds of an outpatient specialty care visit taking place in VA when compared to Veterans who did not meet Choice Act eligibility criteria (odds ratio = 1.10, 95% confidence interval 1.05-1.15). However, drive time eligibility (MISSION Act criteria) was associated with significantly lower odds of an outpatient specialty care visit taking place in VA (odds ratio = 0.69, 95% confidence interval 0.67, 0.71). Neither drive distance nor drive time were associated with reliance for outpatient primary care or mental health care.VA patients who are at high risk for hospitalization may continue to rely on VA for outpatient primary care and mental health care despite access to outside services, but may increase use of outpatient specialty care in the community in the MISSION era, increasing demand for multi-system care coordination.

IntroductionAnti-Black racism has strong roots in American health care and medical education. While curricula on social determinants of health are increasingly common in medical training, curricula directly addressing anti-Black racism are limited. Existing frameworks like the Presence 5 framework for humanism in medicine can be adapted to develop a novel workshop that promotes anti-racism communication.MethodsWe performed a literature review of anti-racism collections and categorized anti-racism communication practices using the Presence 5 framework to develop the Presence 5 for Racial Justice Workshop. Implementation included an introductory didactic, a small-group discussion, and a large-group debrief. Participants evaluated the workshop via an online survey, and we analyzed the resulting qualitative feedback.ResultsA total of 17 participants took part in two workshops, with nine of the participants responding to the evaluation survey. Themes that emerged from survey responses included strengths of and improvements for the workshop structure (protected time for anti-racism discussion, dialogue between learners and faculty) and content (specific phrases and language, practicing self-reflection).DiscussionThe workshop provides participants with a semistructured discussion around the five anti-racism communication practices. Barriers to implementation include incorporating the workshop into existing curricula and ensuring diverse learners. Barriers to evaluating the workshop include the low survey response rate. Recommendations to improve the workshop include using case-based discussion and varying the workshop structure according to institutional needs. Next steps include an implementation study to evaluate the acceptability, feasibility, and effectiveness of the workshop.

BackgroundQuantitative evaluations of the effectiveness of intensive primary care (IPC) programs for high-needs patients have yielded mixed results for improving healthcare utilization, cost, and mortality. However, IPC programs may provide other value.ObjectiveTo understand the perspectives of high-needs patients and primary care facility leaders on the effects of a Veterans Affairs (VA) IPC program on patients.DesignA total of 66 semi-structured telephone interviews with high-needs VA patients and primary care facility leaders were conducted as part of the IPC program evaluation.ParticipantsHigh-needs patients (n = 51) and primary care facility leaders (n = 15) at 5 VA pilot sites.ApproachWe used content analysis to examine interview transcripts for both a priori and emergent themes about perceived IPC program effects.Key resultsPatients enrolled in VA IPCs reported improvements in their experience of VA care (e.g., patient-provider relationship, access to their team). Both patients and leaders reported improvements in patient motivation to engage with self-care and with their IPC team, and behaviors, especially diet, exercise, and medication management. Patients also perceived improvements in health and described receiving assistance with social needs. Despite this, patients and leaders also outlined patient health characteristics and contextual factors (e.g., chronic health conditions, housing insecurity) that may have limited the effectiveness of the program on healthcare cost and utilization.ConclusionsPatients and primary care facility leaders report benefits for high-needs patients from IPC interventions that translated into perceived improvements in healthcare, health behaviors, and physical and mental health status. Most program evaluations focus on cost and utilization, which may be less amenable to change given this cohort's numerous comorbid health conditions and complex social circumstances. Future IPC program evaluations should additionally examine IPC's effects on quality of care, patient satisfaction, quality of life, and patient health behaviors other than utilization (e.g., engagement, self-efficacy).

ObjectiveThe Veterans Health Administration (VHA) conducted a randomized quality improvement evaluation to determine whether augmenting patient-centered medical homes with Primary care Intensive Management (PIM) decreased utilization of acute care and health care costs among patients at high risk for hospitalization. PIM was cost-neutral in the first year; we analyzed changes in utilization and costs in the second year.Data sourcesVHA administrative data for five demonstration sites from August 2013 to March 2019.Data sourcesAdministrative data extracted from VHA's Corporate Data Warehouse.Study designVeterans with a risk of 90-day hospitalization in the top 10th percentile and recent hospitalization or emergency department (ED) visit were randomly assigned to usual primary care vs primary care augmented by PIM. PIM included interdisciplinary teams, comprehensive patient assessment, intensive case management, and care coordination services. We compared the change in mean VHA inpatient and outpatient utilization and costs (including PIM expenses) per patient for the 12-month period before randomization and 13-24 months after randomization for PIM vs usual care using difference-in-differences.Principal findingsBoth PIM patients (n = 1902) and usual care patients (n = 1882) had a mean of 5.6 chronic conditions. PIM patients had a greater number of primary care visits compared to those in usual care (mean 4.6 visits/patient/year vs 3.7 visits/patient/year, p

PURPOSE: Healthcare engagement is a core measurement target for efforts to improve healthcare systems. This construct is broadly defined as the extent to which healthcare services represent collaborative partnerships with patients. Previous qualitative work operationalized healthcare engagement as generalized self-efficacy in four related subdomains: self-management, collaborative communication, health information use, and healthcare navigation. Building on this work, our objective was to establish a healthcare engagement instrument that is sufficiently unidimensional to yield a single score. METHOD: We conducted cognitive interviews followed by a nation-wide mail survey of US Veteran Administration (VA) healthcare users. Data were collected on 49 candidate healthcare engagement items, as well as measures of self-efficacy for managing symptoms, provider communication, and perceived access. Items were subjected to exploratory bifactor, statistical learning, and IRT analyses. RESULTS: Cognitive interviews were completed by 56 patients and 9552 VA healthcare users with chronic conditions completed the mail survey. Participants were mostly white and male but with sizable minority participation. Psychometric analyses and content considerations reduced the item pool to 23 items, which demonstrated a strong general factor (OmegaH of .89). IRT analyses revealed a high level of reliability across the trait range and little DIF across groups. Most health information use items were removed during analyses, suggesting a more independent role for this domain. CONCLUSION: We provide quantitative evidence for a relatively unidimensional measure of healthcare engagement. Despite developed with VA healthcare users, the measure is intended for general use. Future work includes short-form development and validation with other patient groups.

This perspective paper seeks to lay out an efficient approach for health care providers, researchers, and other stakeholders involved in interventions aimed at improving care coordination to partner in locating and using applicable care coordination theory. The objective is to learn from relevant theory-based literature about fit between intervention options and coordination needs, thereby bringing insights from theory to enhance intervention design, implementation, and troubleshooting. To take this idea from an abstract notion to tangible application, our workgroup on models and measures from the Veterans Health Administration (VA) State of the Art (SOTA) conference on care coordination first summarizes our distillation of care coordination theoretical frameworks (models) into three common conceptual domains-context of an intervention, locus in which an intervention is applied, and specific design features of the intervention. Then we apply these three conceptual domains to four cases of care coordination interventions ("use cases") chosen to represent various scopes and stages of interventions to improve care coordination for veterans. Taken together, these examples make theory more accessible and practical by demonstrating how it can be applied to specific cases. Drawing from theory offers one method to anticipate which intervention options match a particular coordination situation.

BackgroundIntensive primary care programs aim to coordinate care for patients with medical, behavioral, and social complexity, but little is known about their impact on patient experience when implemented in a medical home.ObjectiveDetermine how augmenting the VA's medical home (Patient Aligned Care Team, PACT) with a PACT-Intensive Management (PIM) program influences patient experiences with care coordination, access, provider relationships, and satisfaction.DesignCross-sectional analysis of patient survey data from a five-site randomized quality improvement study.ParticipantsTwo thousand five hundred sixty-six Veterans with hospitalization risk scores ≥ 90th percentile and recent acute care.InterventionPIM offered patients intensive care coordination, including home visits, accompaniment to specialists, acute care follow-up, and case management from a team staffed by primary care providers, social workers, psychologists, nurses, and/or other support staff.Main measuresPatient-reported experiences with care coordination (e.g., health goal assessment, test and appointment follow-up, Patient Assessment of Chronic Illness Care (PACIC)), access to healthcare services, provider relationships, and satisfaction.Key resultsSeven hundred fifty-nine PIM and 768 PACT patients responded to the survey (response rate 60%). Patients randomized to PIM were more likely than those in PACT to report that they were asked about their health goals (AOR = 1.26; P = 0.046) and that they have a VA provider whom they trust (AOR = 1.35; P = 0.005). PIM patients also had higher mean (SD) PACIC scores compared with PACT patients (2.91 (1.31) vs. 2.75 (1.25), respectively; P = 0.022) and were more likely to report 10 out of 10 on satisfaction with primary care (AOR = 1.25; P = 0.048). However, other effects on coordination, access, and satisfaction did not achieve statistical significance.ConclusionsAugmenting VA's patient-centered medical home with intensive primary care had a modestly positive influence on high-risk patients' experiences with care coordination and provider relationships, but did not have a significant impact on most patient-reported access and satisfaction measures.

ObjectivesTo examine high-cost patients in VA and factors associated with persistence in high costs over time.Data sourcesSecondary data for FY2008-2012.Data extractionWe obtained VA and Medicare utilization and cost records for VA enrollees and drew a 20 percent random sample (N = 1,028,568).Study designWe identified high-cost patients, defined as those in the top 10 percent of combined VA and Medicare costs, and determined the number of years they remained high cost over 4 years. We compared sociodemographics, clinical characteristics, and baseline utilization by number of high-cost years and conducted a discrete time survival analysis to predict high-cost persistence.Principal findingsAmong 105,703 patients with the highest 10 percent of costs at baseline, 68 percent did not remain high cost in subsequent years, 32 percent had high costs after 1 year, and 7 percent had high costs in all four follow-up years. Mortality, which was 47 percent by end of follow-up, largely explained low persistence. The largest percentage of patients who persisted as high cost until end of follow-up was for spinal cord injury (16 percent).ConclusionMost high-cost patients did not remain high cost in subsequent years, which poses challenges to providers and payers to manage utilization of these patients.

Social risks refer to individuals' social and economic conditions shaped by underlying social determinants of health. Health care delivery organizations increasingly screen patients for social risks given their potential impact on health outcomes. However, it can be challenging to meaningfully address patients' needs. Existing frameworks do not comprehensively describe and classify ways in which health care delivery organizations can address social risks after screening. Addressing this gap, the authors developed the Social Risk ACTIONS framework (Actionability Characteristics To Inform Organizations' Next steps after Screening) describing 4 dimensions of actionability: Level of action, Actor, Purpose of action, and Action. First, social risk actions can occur at 3 organizational levels (ie, patient encounter, clinical practice/institution, community). Second, social risk actions are initiated by different staff members, referred to as "actors" (ie, clinical care professionals with direct patient contact, clinical/institutional leaders, and researchers). Third, social risk actions can serve one or more purposes: strengthening relationships with patients, tailoring care, modifying the social risk itself, or facilitating population health, research, or advocacy. Finally, specific actions on social risks vary by level, actor, and purpose. This article presents the Social Risk ACTIONS framework, applies its concepts to 2 social risks (food insecurity and homelessness), and discusses its broader applications and implications. The framework offers an approach for leaders of health care delivery organizations to assess current efforts and identify additional opportunities to address social risks. Future work should validate this framework with patients, clinicians, and health care leaders, and incorporate implementation challenges to social risk action. [ABSTRACT FROM AUTHOR]

Objectives: Technology has the potential to increase access to evidence-based insomnia treatment. Patient preferences/perceptions of automated digital cognitive behavior therapy for insomnia (CBTI) and telehealth-delivered CBTI remain largely unexplored among middle-aged and older adults. Using a qualitative approach, the current study describes patients' reasons for participating in the clinical trial, preferences for digital CBTI (dCBTI) versus therapist-led CBTI, patient attitudes toward dCBTI, and patient attitudes toward telehealth-delivered therapist-led CBTI. Method: Middle-aged and older adults (N = 80) completed a semi-structured interview before CBTI exposure. Qualitative responses were coded, and themes were inductively extracted. Results: Most (62.5%) of the participants expressed a preference for therapist-led CBTI to dCBTI. Convenience was the most commonly reported advantage of dCBTI (n = 55) and telehealth-delivered CBTI (n = 65). Decreasing transit time and pandemic-related health concerns were identified as advantages to dCBTI and telehealth-delivered CBTI. Lack of human connection and limited personalization were perceived as disadvantages of dCBTI. Only three participants reported technological barriers to dCBTI and telehealth-delivered CBTI. Conclusion: Findings suggest that, despite an overall preference for therapist-led treatment, most middle-aged and older adults are open to dCBTI. As both dCBTI and telehealth-delivered CBTI are perceived as convenient, these modalities offer the potential to increase access to insomnia care. [ABSTRACT FROM AUTHOR]