Defining and Improving Outcomes Measurement for Virtual Care: Report from the VHA State-of-the-Art Conference on Virtual Care.

Virtual care, including synchronous and asynchronous telehealth, remote patient monitoring, and the collection and interpretation of patient-generated health data (PGHD), has the potential to transform healthcare delivery and increase access to care. The Veterans Health Administration (VHA) Office of Health Services Research and Development (HSR&D) convened a State-of-the-Art (SOTA) Conference on Virtual Care to identify future virtual care research priorities. Participants were divided into three workgroups focused on virtual care access, engagement, and outcomes. In this article, we report the findings of the Outcomes Workgroup. The group identified virtual care outcome areas with sufficient evidence, areas in need of additional research, and areas that are particularly well-suited to be studied within VHA. Following a rigorous process of literature review and consensus, the group focused on four questions: (1) What outcomes of virtual care should we be measuring and how should we measure them?; (2) how do we choose the "right" care modality for the "right" patient?; (3) what are potential consequences of virtual care on patient safety?; and (4) how can PGHD be used to benefit provider decision-making and patient self-management?. The current article outlines key conclusions that emerged following discussion of these questions, including recommendations for future research.

Barriers and Facilitators Impacting Lung Cancer Screening Uptake Among Black Veterans: A Qualitative Study.

BACKGROUND: Racial disparities in lung cancer screening (LCS) are well established. Black Veterans are among those at the highest risk for developing lung cancer but are less likely to complete LCS. We sought to identify barriers and facilitators to LCS uptake among Black Veterans. PATIENTS AND METHODS: A qualitative study using semistructured interviews was conducted with 32 Black Veterans to assess for barriers, facilitators, and contextual factors for LCS and strategies to improve screening. Veterans were purposively sampled by age, sex, and LCS participation status (ie, patients who received a low-dose CT [LDCT], patients who contacted the screening program but did not receive an LDCT, and patients who did not connect with the screening program nor receive an LDCT). Interview guides were developed using the Theoretical Domains Framework and Health Belief Model. Data were analyzed using rapid qualitative analysis. RESULTS: Barriers of LCS uptake among Black Veterans include self-reported low LCS knowledge and poor memory, attention, and decision processes associated with the centralized LCS process. Facilitators of LCS uptake among Black Veterans include social/professional role; identity and social influences; perceived susceptibility, threat, and consequences due to smoking status and military or occupational exposures; emotion, behavioral regulation, and intentions; and high trust in providers. Environmental context and resources (eg, transportation) and race and racism serve as contextual factors that did not emerge as having a major impact on LCS uptake. Strategies to improve LCS uptake included increased social messaging surrounding LCS, various forms of information dissemination, LCS reminders, balanced and repeated shared decision-making discussions, and streamlined referrals. CONCLUSIONS: We identified addressable barriers and facilitators for LCS uptake among Black Veterans that can help focus efforts to improve disparities in screening. Future studies should explore provider perspectives and test interventions to improve equity in LCS.

Scalability of effective adherence interventions for patients using cardiovascular disease medication: A realist synthesis-inspired systematic review.

Upscaling of medication adherence interventions to routine care is still challenging. This realist theory-inspired review aimed to assess which intervention aspects are potentially important for the scalability of effective cardiovascular disease (CVD) medication adherence interventions and how they are reported in effectiveness studies. A total of 4097 articles from four databases were screened of which ultimately 31 studies were included. Relevant information on scalability was extracted using a theoretic framework based on the scalability assessment tool used in the QUALIDEC study for the following domains: (i) innovation, (ii) implementers and patients, (iii) adopting organizations and health system, and (iv) socio-political context. Extracted articles were analysed for themes and chains of inference, which were grouped based on commonality and source of evidence to form new hypotheses. Six different domains relevant for scalability of adherence interventions were identified: (1) Complexity of the intervention; (2) training; (3) customization of the intervention; (4) drivers of the intervention; (5) technical interventions; and (6) stakeholder involvement. These six domains might be useful for the development of more scalable interventions by bridging the gap between research and practice. Data relevant for scalability is not well reported on in effectiveness trials for CVD medication adherence interventions and only limited data on scalability has been published in additional papers. We believe the adoption and reach of effective CVD medication adherence interventions will improve with increased awareness for the necessity of scalability in all phases of intervention development.

Barriers and facilitators to the implementation and adoption of improvement coaching: A qualitative evidence synthesis.

BACKGROUND: Healthcare organisations and teams perform improvement activities to facilitate high-quality healthcare. The use of an improvement coach who provides support and guidance to the healthcare team may facilitate improvement activities; however, no systematic review exists on the facilitators and barriers to implementing an improvement coach. AIMS: We conducted a qualitative evidence synthesis to examine the facilitators and barriers to the implementation of improvement coaching. METHODS: We searched MEDLINE® , Embase and CINAHL. The final search was in March 2021. The screening eligibility criteria included the following: interdisciplinary team receiving the coaching, improvement coaching, designs with a qualitative component and primary purpose of evaluating practice facilitation in OECD countries. An ecologically-informed consolidated framework for implementation research (CFIR) served as the framework for coding. Patterns of barriers and facilitators across domains were identified through matrix analysis. Risk of bias was assessed using Critical Appraisal Skills Program. PRISMA reporting guidelines served as a guide for reporting this review. RESULTS: Nineteen studies with a qualitative component met the inclusion criteria. Four themes of barriers and facilitators crossed multiple CFIR domains: adaptability (e.g. making adjustments to the project; process, or approach); knowledge and skills (e.g. understanding of content and process for the project); engagement (e.g. willingness to be involved in the process) and resources (e.g. assets required to complete the improvement process). CONCLUSION: Improvement coaching is a complex intervention that influences the context, healthcare team being coached and improvement activities. Improvement coaches should understand how to minimise barriers and promote facilitators that are unique to each improvement project across the domains. Limitations of the study are related to the nature of the intervention including potential publication bias given quality improvement focus; the variety of terms similar to improvement coaching or selection of framework.

Moving from the Trial to the Real World: Improving Medication Adherence Using Insights of Implementation Science.

Medication nonadherence is a serious public health concern. Although there are promising interventions that improve medication adherence, most interventions are developed and tested in tightly controlled research environments that are dissimilar from the real-world settings where the majority of patients receive health care. Implementation science methods have the potential to facilitate and accelerate the translation shift from the trial world to the real world. We demonstrate their potential by reviewing published, high-quality medication adherence studies that could potentially be translated into clinical practice yet lack essential implementation science building blocks. We further illustrate this point by describing an adherence study that demonstrates how implementation science creates a junction between research and real-world settings. This article is a call to action for researchers, clinicians, policy makers, pharmaceutical companies, and others involved in the delivery of care to adopt the implementation science paradigm in the scale-up of adherence (research) programs.

Self-Organization of Interprofessional Staff to Improve Mobility of Hospitalized Patients with STRIDE: a Complexity Science-Informed Qualitative Study.

BACKGROUND: Inpatient mobility programs can help older adults maintain function during hospitalization. Changing hospital practice can be complex and require engagement of various staff levels and disciplines; however, we know little about how interprofessional teams organize around implementing such interventions. Complexity science can inform approaches to understanding and improving multidisciplinary collaboration to implement clinical programs. OBJECTIVE: To examine, through a complexity science lens, how clinical staff's understanding about roles in promoting inpatient mobility evolved during implementation of the STRIDE (assiSTed eaRly mobIlity for hospitalizeD older vEterans) hospital mobility program. DESIGN: Qualitative study using semi-structured interviews. PARTICIPANTS: Ninety-two clinical staff at eight Veterans Affairs hospitals. INTERVENTIONS: STRIDE is a supervised walking program for hospitalized older adults designed to maintain patients' mobility and function. APPROACH: We interviewed key staff involved in inpatient mobility efforts at each STRIDE site in pre- and post-implementation periods. Interviews elicited staff's perception of complexity-science aspects of inpatient mobility teams (e.g., roles over time, team composition). We analyzed data using complexity science-informed qualitative content analysis. KEY RESULTS: We identified three key themes related to patterns of self-organization: (1) individuals outside of the "core" STRIDE team voluntarily assumed roles as STRIDE advocates, (2) leader-champions adapted their engagement level to match local implementation team needs during implementation, and (3) continued leadership support and physical therapy involvement were key factors for sustainment. CONCLUSIONS: Staff self-organized around implementation of a new clinical program in ways that were responsive to changing program and contextual needs. These findings demonstrate the importance of effective self-organization for clinical program implementation. Researchers and practitioners implementing clinical programs should allow for, and encourage, flexibility in staff roles in planning for implementation of a new clinical program, encourage the development of advocates, and engage leaders in program planning and sustainment efforts.

Effectiveness of Quality Improvement Coaching on Process Outcomes in Health Care Settings: A Systematic Review.

BACKGROUND: A culture of improvement is an important feature of high-quality health care systems. However, health care teams often need support to translate quality improvement (QI) activities into practice. One method of support is consultation from a QI coach. The literature suggests that coaching interventions have a positive impact on clinical outcomes. However, the impact of coaching on specific process outcomes, like adoption of clinical care activities, is unknown. Identifying the process outcomes for which QI coaching is most effective could provide specific guidance on when to employ this strategy. METHODS: We searched multiple databases from inception through July 2021. Studies that addressed the effects of QI coaching on process of care outcomes were included. Two reviewers independently extracted study characteristics and assessed risk of bias. Certainty of evidence was assessed using GRADE. RESULTS: We identified 1983 articles, of which 23 cluster-randomized trials met eligibility criteria. All but two took place in a primary care setting. Overall, interventions typically targeted multiple simultaneous processes of care activities. We found that coaching probably has a beneficial effect on composite process of care outcomes (n = 9) and ordering of labs and vital signs (n = 6), and possibly has a beneficial effect on changes in organizational process of care (n = 5), appropriate documentation (n = 5), and delivery of appropriate counseling (n = 3). We did not perform meta-analyses because of conceptual heterogeneity around intervention design and outcomes; rather, we synthesized the data narratively. Due to imprecision, inconsistency, and high risk of bias of the included studies, we judged the certainty of these results as low or very low. CONCLUSION: QI coaching interventions may affect certain processes of care activities such as ordering of labs and vital signs. Future research that advances the identification of when QI coaching is most beneficial for health care teams seeking to implement improvement processes in pursuit of high-quality care will support efficient use of QI resources. PROTOCOL REGISTRATION: This study was registered and followed a published protocol (PROSPERO: CRD42020165069).

Addressing Hypertension Outcomes Using Telehealth and Population Health Managers: Adaptations and Implementation Considerations.

PURPOSE OF REVIEW: There is a growing evidence base describing population health approaches to improve blood pressure control. We reviewed emerging trends in hypertension population health management and present implementation considerations from an intervention called Team-supported, Electronic health record-leveraged, Active Management (TEAM). By doing so, we highlight the role of population health managers, practitioners who use population level data and to proactively engage at-risk patients, in improving blood pressure control. RECENT FINDINGS: Within a population health paradigm, we discuss telehealth-delivered approaches to equitably improve hypertension care delivery. Additionally, we explore implementation considerations and complementary features of team-based, telehealth-delivered, population health management. By leveraging the unique role and expertise of a population health manager as core member of team-based telehealth, health systems can implement a cost-effective and scalable intervention that addresses multi-level barriers to hypertension care delivery. We describe the literature of telehealth-based population health management for patients with hypertension. Using the TEAM intervention as a case study, we then present implementation considerations and intervention adaptations to integrate a population health manager within the health care team and effectively manage hypertension for a defined patient population. We emphasize practical considerations to inform implementation, scaling, and sustainability. We highlight future research directions to advance the field and support translational efforts in diverse clinical and community contexts.

Methodological approaches to study context in intervention implementation studies: an evidence gap map.

BACKGROUND: Within implementation science studies, contextual analysis is increasingly recognized as foundational to interventions' successful and sustainable implementation. However, inconsistencies between methodological approaches currently limit progress in studying context and guidance to standardize the use of those approaches is scant. Therefore, this study's objective was to systematically review and map current methodological approaches to contextual analysis in intervention implementation studies. The results would help us both to systematize the process of contextual analysis and identify gaps in the current evidence. METHODS: We conducted an evidence gap map (EGM) based on literature data via a stepwise approach. First, using an empirically developed search string, we randomly sampled 20% of all intervention implementation studies available from PubMed per year (2015-2020). Second, we assessed included studies that conducted a contextual analysis. Data extraction and evaluation followed the Basel Approach for CoNtextual ANAlysis (BANANA), using a color-coded rating scheme. Also based on BANANA and on the Context and Implementation of Complex Interventions (CICI) framework-an implementation framework that pays ample attention to context- we created visual maps of various approaches to contextual analysis. RESULTS: Of 15, 286 identified intervention implementation studies and study protocols, 3017 were screened for inclusion. Of those, 110 warranted close examination, revealing 22% that reported on contextual analysis. Only one study explicitly applied a framework for contextual analysis. Data were most commonly collected via surveys (n = 15) and individual interviews (n = 13). Ten studies reported mixed-methods analyses. Twenty-two assessed meso-level contextual and setting factors, with socio-cultural aspects most commonly studied. Eighteen described the use of contextual information for subsequent project phases (e.g., intervention development/adaption, selecting implementation strategies). Nine reported contextual factors' influences on implementation and/or effectiveness outcomes. CONCLUSIONS: This study describes current approaches to contextual analysis in implementation science and provides a novel framework for evaluating and mapping it. By synthesizing our findings graphically in figures, we provide an initial evidence base framework that can incorporate new findings as necessary. We strongly recommend further development of methodological approaches both to conduct contextual analysis and to systematize the reporting of it. These actions will increase the quality and consistency of implementation science research.

Health and social care of home-dwelling frail older adults in Switzerland: a mixed methods study.

BACKGROUND: Home-dwelling frail older adults are often faced with multimorbidity and complex care needs, requiring health and social care systems that support frail older adults to age in place. The objective of this paper was to investigate the types of formal health and social care as well as informal care and social support used by home-dwelling frail older adults; whether they perceive their support as sufficient; and their experience with and preferences for care and support. METHODS: Using an explanatory sequential mixed methods design, we first conducted a secondary analysis of a subset of cross-sectional data from the ImplemeNtation of a community-baSed care Program for home dwelling senIoR citizEns (INSPIRE) population survey using descriptive analysis. Subsequently, we analyzed existing data from interviews in the parent study to help explain the survey results using applied thematic analysis. Results were organized according to adapted domains and concepts of the SELFIE framework and integrated via a joint display table. RESULTS: Of the parent population survey respondents, 2314 older adults indicating frailty were included in the quantitative arm of this study. Interview data was included from 7 older adults who indicated frailty. Support from health and social, formal and informal caregivers is diverse and anticipated to increase (e.g., for 'care and assistance at home' and 'meal services'). Informal caregivers fulfilled various roles and while some older adults strongly relied on them for support, others feared burdening them. Most participants (93.5%) perceived their overall support to meet their needs; however, findings suggest areas (e.g., assessment of overall needs) which merit attention to optimize future care. CONCLUSIONS: Given the anticipated demand for future care and support, we recommend efforts to prevent fragmentation between health and social as well as formal and informal care.

Applied Rapid Qualitative Analysis to Develop a Contextually Appropriate Intervention and Increase the Likelihood of Uptake.

BACKGROUND: Rapid approaches to collecting and analyzing qualitative interview data can accelerate discovery timelines and intervention development while maintaining scientific rigor. We describe the application of these methods to a program designed to improve care coordination between the Veterans Health Administration (VHA) and community providers. METHODS: Care coordination between VHA and community providers can be challenging in rural areas. The Telehealth-based Coordination of Non-VHA Care (TECNO Care) intervention was designed to improve care coordination among VHA and community providers. To ensure contextually appropriate implementation of TECNO Care, we conducted preimplementation interviews with veterans, VHA administrators, and VHA and community providers involved in community care. Using both a rapid approach and qualitative analysis, an interviewer and 1-2 note-taker(s) conducted interviews. RESULTS: Over 5 months, 18 stakeholders were interviewed and we analyzed these data to identify how best to deliver TECNO Care. Responses relevant to improving care coordination include health system characteristics; target population; metrics and outcomes; challenges with the current system; and core components. Veterans who frequently visit VHA or community providers and are referred for additional services are at risk for poor outcomes and may benefit from additional care coordination. Using these data, we designed TECNO Care to include information on VHA services and processes, assist in the timely completion of referrals, and facilitate record sharing. CONCLUSION: Rapid qualitative analysis can inform near real-time intervention development and ensure relevant content creation while setting the stage for stakeholder buy-in. Rigorous and timely analyses support the delivery of contextually appropriate, efficient, high-value patient care.

Subgroups of High-Risk Veterans Affairs Patients Based on Social Determinants of Health Predict Risk of Future Hospitalization.

OBJECTIVE: Population segmentation has been recognized as a foundational step to help tailor interventions. Prior studies have predominantly identified subgroups based on diagnoses. In this study, we identify clinically coherent subgroups using social determinants of health (SDH) measures collected from Veterans at high risk of hospitalization or death. STUDY DESIGN AND SETTING: SDH measures were obtained for 4684 Veterans at high risk of hospitalization through mail survey. Eleven self-report measures known to impact hospitalization and amenable to intervention were chosen a priori by the study team to identify subgroups through latent class analysis. Associations between subgroups and demographic and comorbidity characteristics were calculated through multinomial logistic regression. Odds of 180-day hospitalization were compared across subgroups through logistic regression. RESULTS: Five subgroups of high-risk patients emerged-those with: minimal SDH vulnerabilities (8% hospitalized), poor/fair health with few SDH vulnerabilities (12% hospitalized), social isolation (10% hospitalized), multiple SDH vulnerabilities (12% hospitalized), and multiple SDH vulnerabilities without food or medication insecurity (10% hospitalized). In logistic regression, the "multiple SDH vulnerabilities" subgroup had greater odds of 180-day hospitalization than did the "minimal SDH vulnerabilities" reference subgroup (odds ratio: 1.53, 95% confidence interval: 1.09-2.14). CONCLUSION: Self-reported SDH measures can identify meaningful subgroups that may be used to offer tailored interventions to reduce their risk of hospitalization and other adverse events.

Improvement Science and Implementation Science in Cancer Care: Identifying Areas of Synergy and Opportunities for Further Integration.

Efforts to improve cancer care primarily come from two fields: improvement science and implementation science. The two fields have developed independently, yet they have potential for synergy. Leveraging that synergy to enhance alignment could both reduce duplication and, more importantly, enhance the potential of both fields to improve care. To better understand potential for alignment, we examined 20 highly cited cancer-related improvement science and implementation science studies published in the past 5 years, characterizing and comparing their objectives, methods, and approaches to practice change. We categorized studies as improvement science or implementation science based on authors' descriptions when possible; otherwise, we categorized studies as improvement science if they evaluated efforts to improve the quality, value, or safety of care, or implementation science if they evaluated efforts to promote the implementation of evidence-based interventions into practice. All implementation studies (10/10) and most improvement science studies (6/10) sought to improve uptake of evidence-based interventions. Improvement science and implementation science studies employed similar approaches to change practice. For example, training was employed in 8/10 implementation science studies and 4/10 improvement science studies. However, improvement science and implementation science studies used different terminology to describe similar concepts and emphasized different methodological aspects in reporting. Only 4/20 studies (2 from each category) described using a formal theory or conceptual framework to guide program development. Most studies were multi-site (10/10 implementation science and 6/10 improvement science) and a minority (2 from each category) used a randomized design. Based on our review, cancer-related improvement science and implementation science studies use different terminology and emphasize different methodological aspects in reporting but share similarities in purpose, scope, and methods, and are at similar levels of scientific development. The fields are well-positioned for alignment. We propose that next steps include harmonizing language and cross-fertilizing methods of program development and evaluation.

Accelerating Implementation of Virtual Care in an Integrated Health Care System: Future Research and Operations Priorities.

BACKGROUND: Virtual care is critical to Veterans Health Administration (VHA) efforts to expand veterans' access to care. Health care policies such as the Veterans Access, Choice, and Accountability (CHOICE) Act and the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act impact how the VHA provides care. Research on ways to refine virtual care delivery models to meet the needs of veterans, clinicians, and VHA stakeholders is needed. OBJECTIVE: Given the importance of virtual approaches for increasing access to high-quality VHA care, in December 2019, we convened a Think Tank, Accelerating Implementation of Virtual Care in VHA Practice, to consider challenges to virtual care research and practice across the VHA, discuss novel approaches to using and evaluating virtual care, assess perspectives on virtual care, and develop priorities to enhance virtual care in the VHA. METHODS: We used a participatory approach to develop potential priorities for virtual care research and activities at the VHA. We refined these priorities through force-ranked prioritization and group discussion, and developed solutions for selected priorities. RESULTS: Think Tank attendees (n = 18) consisted of VHA stakeholders, including operations partners (e.g., Office of Rural Health, Office of Nursing Services, Health Services Research and Development), clinicians (e.g., physicians, nurses, psychologists, physician assistants), and health services researchers. We identified an initial list of fifteen potential priorities and narrowed these down to four. The four priorities were (1) scaling evidence-based practices, (2) centralizing virtual care, (3) creating high-value care within the VHA with virtual care, and (4) identifying appropriate patients for virtual care. CONCLUSION: Our Think Tank took an important step in setting a partnered research agenda to optimize the use of virtual care within the VHA. We brought together research and operations stakeholders and identified possibilities, partnerships, and potential solutions for virtual care.

The INSPIRE Population Survey: development, dissemination and respondent characteristics.

BACKGROUND: Most older adults prefer to continue living at home despite increasing care needs and demand for services. To aid in maintaining independence, integrated care models for community-dwelling older people are promoted as the most cost-effective approach. The implementation of such care models is challenging and often the end-users are not involved or their needs are not considered. We conducted a population survey in order to understand the needs and preferences of home-dwelling older adults living in Canton Basel-Landschaft, Switzerland. The aims of this paper are to chronicle the development of the INSPIRE Population Survey, outline its variables and measurements, describe the marketing strategy utilized for survey dissemination and report on the response rate and respondent characteristics. METHODS: The INSPIRE Population Survey, conducted between March and August 2019, is a cross-sectional survey of older adults aged 75 and older living at home in Canton Basel-Landschaft. The questionnaire was developed by expert input and stakeholder involvement. Its readability and acceptability were pilot-tested with older people. To ensure the likelihood of a high and representative response rate, a meticulous step-by-step marketing strategy was developed prior to the dissemination of the questionnaire. RESULTS: The overall response rate was 30.7% (n = 8,846), with variations between 20.6 and 34.5% across the different care regions in the canton. A generally higher response rate was found in the care regions with a higher density and which bordered the urban city of Basel. We received support from local stakeholders, policy makers and media through using a broad combination of marketing channels and targeting our community partners who have a strong relationship with our target audience. CONCLUSIONS: Although recruiting older adults in research is challenging, our study shows that a high response rate can be achieved by developing the survey through expert input and by involving all important stakeholders, including older adults, throughout the entire process.

Implementation of social needs screening in primary care: a qualitative study using the health equity implementation framework.

BACKGROUND: Screening in primary care for unmet individual social needs (e.g., housing instability, food insecurity, unemployment, social isolation) is critical to addressing their deleterious effects on patients' health outcomes. To our knowledge, this is the first study to apply an implementation science framework to identify implementation factors and best practices for social needs screening and response. METHODS: Guided by the Health Equity Implementation Framework (HEIF), we collected qualitative data from clinicians and patients to evaluate barriers and facilitators to implementing the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), a standardized social needs screening and response protocol, in a federally qualified health center. Eligible patients who received the PRAPARE as a standard of care were invited to participate in semi-structured interviews. We also obtained front-line clinician perspectives in a semi-structured focus group. HEIF domains informed a directed content analysis. RESULTS: Patients and clinicians (i.e., case managers) reported implementation barriers and facilitators across multiple domains (e.g., clinical encounters, patient and provider factors, inner context, outer context, and societal influence). Implementation barriers included structural and policy level determinants related to resource availability, discrimination, and administrative burden. Facilitators included evidence-based clinical techniques for shared decision making (e.g., motivational interviewing), team-based staffing models, and beliefs related to alignment of the PRAPARE with patient-centered care. We found high levels of patient acceptability and opportunities for adaptation to increase equitable adoption and reach. CONCLUSION: Our results provide practical insight into the implementation of the PRAPARE or similar social needs screening and response protocols in primary care at the individual encounter, organizational, community, and societal levels. Future research should focus on developing discrete implementation strategies to promote social needs screening and response, and associated multisector care coordination to improve health outcomes and equity for vulnerable and marginalized patient populations.

Transportation as a barrier to colorectal cancer care.

BACKGROUND: Transportation barriers limit access to cancer care services and contribute to suboptimal clinical outcomes. Our objectives were to describe the frequency of Veterans reporting and the factors associated with transportation barriers to or from colorectal cancer (CRC) care visits. METHODS: Between November 2015 and September 2016, Veterans with incident stage I, II, or III CRC completed a mailed survey to assess perceived barriers to recommended care. Participants who reported difficulty with transportation to or from CRC care appointments were categorized as experiencing transportation barriers. We assessed pairwise correlations between transportation barriers, transportation-related factors (e.g., mode of travel), and chaotic lifestyle (e.g., predictability of schedules), and used logistic regression to examine the association between the reporting of transportation difficulties, distance traveled to the nearest Veterans Affairs (VA) facility, and life chaos. RESULTS: Of the 115 Veterans included in this analysis, 18% reported experiencing transportation barriers. Distance to the VA was not strongly correlated with the reporting of transportation barriers (Spearman's ρ = 0.12, p = 0.19), but chaotic lifestyle was both positively and significantly correlated with experiencing transportation barriers (Spearman's ρ = 0.22, p = 0.02). Results from the logistic regression model modestly supported the findings from the pairwise correlations, but were not statistically significant. CONCLUSIONS: Transportation is an important barrier to or from CRC care visits, especially among Veterans who experience greater life chaos. Identifying Veterans who experience chaotic lifestyles would allow for timely engagement in behavioral interventions (e.g., organizational skills training) and with support services (e.g., patient navigation).

Low-touch, team-based care for co-morbidity management in cancer patients: the ONE TEAM randomized controlled trial.

BACKGROUND: As treatments for cancer have improved, more people are surviving cancer. However, compared to people without a history of cancer, cancer survivors are more likely to die of cardiovascular disease (CVD). Increased risk for CVD-related mortality among cancer survivors is partially due to lack of medication adherence and problems that exist in care coordination between cancer specialists, primary care physicians, and cardiologists. METHODS/DESIGN: The Onco-primary care networking to support TEAM-based care (ONE TEAM) study is an 18-month cluster-randomized controlled trial with clustering at the primary care clinic level. ONE TEAM compares the provision of the iGuide intervention to patients and primary care providers versus an education-only control. For phase 1, at the patient level, the intervention includes video vignettes and a live webinar; provider-level interventions include electronic health records-based communication and case-based webinars. Participants will be enrolled from across North Carolina one of their first visits with a cancer specialist (e.g., surgeon, radiation or medical oncologist). We use a sequential multiple assignment randomized trial (SMART) design. Outcomes (measured at the patient level) will include Healthcare Effectiveness Data and Information Set (HEDIS) quality measures of management of three CVD comorbidities using laboratory testing (glycated hemoglobin [A1c], lipid profile) and blood pressure measurements; (2) medication adherence assessed pharmacy refill data using Proportion of Days Covered (PDC); and (3) patient-provider communication (Patient-Centered Communication in Cancer Care, PCC-Ca-36). Primary care clinics in the intervention arm will be considered non-responders if 90% or more of their participating patients do not meet the modified HEDIS quality metrics at the 6-month measurement, assessed once the first enrollee from each practice reaches the 12-month mark. Non-responders will be re-randomized to either continue to receive the iGuide 1 intervention, or to receive the iGuide 2 intervention, which includes tailored videos for participants and specialist consults with primary care providers. DISCUSSION: As the population of cancer survivors grows, ONE TEAM will contribute to closing the CVD outcomes gap among cancer survivors by optimizing and integrating cancer care and primary care teams. ONE TEAM is designed so that it will be possible for others to emulate and implement at scale. TRIAL REGISTRATION: This study (NCT04258813) was registered in clinicaltrals.gov on February 6, 2020.

Factors associated with falls in older women with breast cancer: the use of a brief geriatric screening tool in clinic.

PURPOSE: Unintentional falls and breast cancer are common among older women, but the associations between them are understudied. We aimed to identify factors associated with falls in older women with breast cancer. METHODS: We retrospectively reviewed clinical records of older women with breast cancer at Duke Medical Center who had completed the Senior Adult Oncology Program geriatric assessment. Characteristics were compared between women had had at least one fall in the past year and those who did not. Pearson's Chi-square tests and t tests were used for comparison of groups' characteristics. Logistic regression determined factors associated with falling. RESULTS: We identified 425 women, age 76.2 years (range 65-89 years), at the time of the assessment. 118 (27.8%) women reported a fall in the prior year. Age, race, ethnicity, and time since diagnosis (all p > 0.05) were similar between groups. In univariate analyses, metastatic disease (p = 0.023) and history of endocrine therapy (p = 0.042) were more common among women who fell. Women who fell had lower systolic (p = 0.001), diastolic (p < 0.001) blood pressures, and SpO2 (p = 0.018). Women who had fallen had a higher Charlson Comorbidity Index (CCI: p = 0.033), and were more likely to report using a walking aide (p < 0.001), nutritional issues (p = 0.006), and depression symptoms (p = 0.038). In multivariate analysis, falling was associated with low DBP (OR 0.93; p = 0.0017), low SpO2 (OR 0.79; p = 0.0169), a higher CCI (OR 1.23; p = 0.0076), and depression symptoms (OR 1.61; p = 0.039). CONCLUSIONS: Among older women with breast cancer, depressive symptoms, higher comorbidity level, and vital sign measurements were associated with having fallen.

Primary Care Providers' Acceptance of Pharmacists' Recommendations to Support Optimal Medication Management for Patients with Diabetic Kidney Disease.

BACKGROUND: Patients with diabetic kidney disease (DKD) often struggle with blood pressure control. In team-based models of care, pharmacists and primary care providers (PCPs) play important roles in supporting patients' blood pressure management. OBJECTIVE: To describe whether PCPs' acceptance of pharmacists' recommendations impacts systolic blood pressure (SBP) at 36 months. DESIGN: An observational analysis of a subset of participants randomized to the intervention arm of the Simultaneous risk factor control using Telehealth to slOw Progression of Diabetic Kidney Disease (STOP-DKD) study. PARTICIPANTS: STOP-DKD participants for whom (1) the pharmacist made at least one recommendation to the PCP; (2) there were available data regarding the PCP's corresponding action; and (3) there were SBP measurements at baseline and 36 months. INTERVENTION: Participants received monthly telephone calls with a pharmacist addressing health behaviors and medication management. Pharmacists made medication-related recommendations to PCPs. MAIN MEASURES: We fit an unadjusted generalized linear mixed model to assess the association between the number of pharmacists' recommendations for DKD and blood pressure management and PCPs' acceptance of such recommendations. We used a linear regression model to evaluate the association between PCP acceptance and SBP at 36 months, adjusted for baseline SBP. KEY RESULTS: Pharmacists made 176 treatment recommendations (among 59 participants), of which 107 (61%) were accepted by PCPs. SBP significantly declined by an average of 10.5 mmHg (p < 0.01) among 47 of 59 participants who had valid measurements at baseline and 36 months. There was a significant association between the number of pharmacist recommendations and the odds of PCP acceptance (OR 1.19; 95%CI 1.00, 1.42; p < 0.05), but no association between the number of accepted recommendations and SBP. CONCLUSIONS: Pharmacists provided actionable medication-related recommendations. We identified a significant decline in SBP at 36 months, but this reduction was not associated with recommendation acceptance. TRIAL REGISTRATION: NCT01829256.