Association of Patient-Reported Social Needs with Emergency Department Visits and Hospitalizations Among Federally Qualified Health Center Patients.

BACKGROUND: Health care systems are increasingly screening for unmet social needs. The association between patient-reported social needs and health care utilization is not well understood. OBJECTIVE: To investigate the association between patient-reported social needs, measured by the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), and inpatient and emergency department (ED) utilization. DESIGN: This cohort study analyzed merged 2017-2019 electronic health record (EHR) data across multiple health systems. PARTICIPANTS: Adult patients from a federally qualified health center (FQHC) in central North Carolina who completed PRAPARE as part of a primary care visit with behavioral health services. MAIN MEASURES: The count of up to 12 unmet social needs, aggregated as 0, 1, 2, or 3 + . Outcomes include the probability of an ED visit and hospitalization 12 months after PRAPARE assessment, modeled by logistic regressions controlling for age, sex, race, ethnicity, comorbidity burden, being uninsured, and prior utilization in the past 12 months. KEY RESULTS: The study population consisted of 1924 adults (38.7% male, 50.1% Black, 36.3% Hispanic, 55.9% unemployed, 68.2% of patients reported 1 + needs). Those with more needs were younger, more likely to be unemployed, and experienced greater comorbidity burden. 35.3% of patients had ED visit(s) and 36.3% had hospitalization(s) 1 year after PRAPARE assessment. In adjusted analysis, having 3 + needs was associated with a percentage point increase in the predicted probability of hospitalization (average marginal effect 0.06, SE 0.03, p < 0.05) compared with having 0 needs. Similarly, having 2 needs (0.07, SE 0.03, p < 0.05) or 3 + needs (0.06, SE 0.03, p < 0.05) was associated with increased probability of ED visits compared to 0 needs. CONCLUSIONS: Patient-reported social needs were common and associated with health care utilization patterns. Future research should identify interventions to address unmet social needs to improve health and avoid potentially preventable escalating medical intervention.

Comparison of Contemporary Surgical Outcomes Between Holmium Laser Enucleation of the Prostate and Robotic-Assisted Simple Prostatectomy.

PURPOSE OF REVIEW: This study reviews contemporary literature on RASP and HoLEP to evaluate perioperative outcomes, common complications, cost analytics, and future directions of both procedures. RECENT FINDINGS: RASP is indicated for prostates > 80 mL, while HoLEP is size-independent. No notable differences were found in operative time, PSA nadir (surrogate for enucleation volume), re-catheterization rates, or long-term durability. Prolonged incontinence and bladder neck contracture rates are low for both surgeries. Patients experience similar satisfaction outcomes and improvements in uroflowmetry and post-void residual volumes. HoLEP demonstrates shorter hospitalizations, lower transfusion rates, lower costs, and higher rates of same-day discharge. RASP offers a shorter learning curve and lower rates of early postoperative urinary incontinence. HoLEP is a size-independent surgery that offers advantages for patients seeking a minimally invasive procedure with the potential for catheter-free same-day discharge. Future directions with single-port simple prostatectomy may offer parity in same-day discharge, but further research is needed to determine broader feasibility.

Primary Care Engagement Among Individuals with Experiences of Homelessness and Serious Mental Illness: an Evidence Map.

BACKGROUND: Experiences of homelessness and serious mental illness (SMI) negatively impact health and receipt of healthcare. Interventions that promote the use of primary care services for people with both SMI and homelessness may improve health outcomes, but this literature has not been evaluated systematically. This evidence map examines the breadth of literature to describe what intervention strategies have been studied for this population, elements of primary care integration with other services used, and the level of intervention complexity to highlight gaps for future intervention research and program development. METHODS: We followed an a priori protocol developed in collaboration with clinical stakeholders. We systematically searched the published literature to identify interventions for adults with homelessness who also had SMI. We excluded case reports, editorials, letters, and conference abstracts. Data abstraction methods followed standard practice. Data were categorized into intervention strategies and primary care integration strategies. Then we applied the Complexity Assessment Tool for Systematic Reviews (iCAT_SR) to characterize intervention complexity. RESULTS: Twenty-two articles met our inclusion criteria evaluating 15 unique interventions to promote engagement in primary care for adults with experiences of homelessness and SMI. Study designs varied widely from randomized controlled trials and cohort studies to single-site program evaluations. Intervention strategies varied across studies but primarily targeted patients directly (e.g., health education, evidence-based interactions such as motivational interviewing) with fewer strategies employed at the clinic (e.g., employee training, multidisciplinary teams) or system levels (e.g., data sharing). We identified elements of primary care integration, including referral strategies, co-location, and interdisciplinary care planning. Interventions displayed notable complexity around the number of intervention components, interaction between intervention components, and extent to which interventions were tailored to specific patient populations. DISCUSSION: We identified and categorized elements used in various combinations to address the primary care needs of individuals with experiences of homeless and SMI.

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.

Understanding Telemedicine's "New Normal": Variations in Telemedicine Use by Specialty Line and Patient Demographics.

Background:Our objective was to examine the variation in telemedicine adoption by specialty line and patient demographic characteristics after the initial peak period of the coronavirus disease 2019 pandemic when in-person visits had resumed and visit volume returned to prepandemic levels.Materials and Methods:Aggregated encounter data were extracted for six service lines (dermatology, psychiatry, endocrinology, cardiology, orthopedics, and nonurgent primary care) in an integrated health system across three time periods: July 1 to September 30, 2019 (n = 239,803), July 1 to September 30, 2020 (n = 245,648), and December 29, 2019 to October 3, 2020 (n = 624,886). Risk ratios were calculated to assess the relative use of telemedicine compared with in-person encounters and telemedicine modality (i.e., synchronous audio/video vs. audio-only telephone) by patient race, age, sex, and insurance type.Results:By June 2020, total visit volume returned to prepandemic levels. Differences in patient demographics between July 1 to September 30, 2020 and the previous year's baseline were negligible. Telemedicine adoption varied by medical specialty, from 3.2% (dermatology) to 98.3% (psychiatry) of visits. African American and male patients were less likely to use telemedicine (telephone or video) compared with white and female patients. Among telemedicine encounters, African American, publicly insured, and older patients were less likely to use video compared with white, commercially insured, and younger patients.Discussion:Variation in telemedicine adoption and modality underscores the importance of balancing patient- and clinic-level implementation factors to promote sustainable, equitable telemedicine integration.Conclusion:Understanding current trends in the "new normal" of telemedicine provides valuable insights into future implementation and financing.

Evaluating the association of social needs assessment data with cardiometabolic health status in a federally qualified community health center patient population.

BACKGROUND: Health systems are increasingly using standardized social needs screening and response protocols including the Protocol for Responding to and Assessing Patients' Risks, Assets, and Experiences (PRAPARE) to improve population health and equity; despite established relationships between the social determinants of health and health outcomes, little is known about the associations between standardized social needs assessment information and patients' clinical condition. METHODS: In this cross-sectional study, we examined the relationship between social needs screening assessment data and measures of cardiometabolic clinical health from electronic health records data using two modelling approaches: a backward stepwise logistic regression and a least absolute selection and shrinkage operation (LASSO) logistic regression. Primary outcomes were dichotomized cardiometabolic measures related to obesity, hypertension, and atherosclerotic cardiovascular disease (ASCVD) 10-year risk. Nested models were built to evaluate the utility of social needs assessment data from PRAPARE for risk prediction, stratification, and population health management. RESULTS: Social needs related to lack of housing, unemployment, stress, access to medicine or health care, and inability to afford phone service were consistently associated with cardiometabolic risk across models. Model fit, as measured by the c-statistic, was poor for predicting obesity (logistic = 0.586; LASSO = 0.587), moderate for stage 1 hypertension (logistic = 0.703; LASSO = 0.688), and high for borderline ASCVD risk (logistic = 0.954; LASSO = 0.950). CONCLUSIONS: Associations between social needs assessment data and clinical outcomes vary by cardiometabolic condition. Social needs assessment data may be useful for prospectively identifying patients at heightened cardiometabolic risk; however, there are limits to the utility of social needs data for improving predictive performance.

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.

Self-management of Epilepsy: A Systematic Review.

Background: Although self-management is recommended for persons with epilepsy, its optimal strategies and effects are uncertain. Purpose: To evaluate the components and efficacy of self-management interventions in the treatment of epilepsy in community-dwelling persons. Data Sources: English-language searches of MEDLINE, Cochrane Central Register of Controlled Trials, PsycINFO, and CINAHL in April 2018; the MEDLINE search was updated in March 2019. Study Selection: Randomized and nonrandomized comparative studies of self-management interventions for adults with epilepsy. Data Extraction: An investigator assessed study characteristics; intervention details, including 6 components of self-management; and outcomes, which were verified by a second reviewer. Risk of bias (ROB) was assessed independently by 2 investigators. Data Synthesis: 13 randomized and 2 nonrandomized studies (2514 patients) evaluated self-management interventions. Interventions were delivered primarily in group settings, used a median of 4 components, and followed 2 general strategies: 1 based on education and the other on psychosocial therapy. Education-based approaches improved self-management behaviors (standardized mean difference, 0.52 [95% CI, 0.0 to 1.04]), and psychosocial therapy-based approaches improved quality of life (mean difference, 6.64 [CI, 2.51 to 10.77]). Overall, self-management interventions did not reduce seizure rates, but 1 educational intervention decreased a composite of seizures, emergency department visits, and hospitalizations. Limitation: High ROB in most studies, incomplete intervention descriptions, and studies limited to English-language publications. Conclusion: There is limited evidence that self-management strategies modestly improve some patient outcomes that are important to persons with epilepsy. Overall, self-management research in epilepsy is limited by the range of interventions tested, the small number of studies using self-monitoring technology, and uncertainty about components and strategies associated with benefit. Primary Funding Source: U.S. Department of Veterans Affairs. (PROSPERO: CRD42018098604).

Working together to learn new oral hygiene techniques: Pilot of a carepartner-assisted intervention for persons with cognitive impairment.

We pilot tested a carepartner-assisted intervention to improve oral hygiene in persons with cognitive impairment (participants) and help carepartners become leaders who can adapt approaches that foster participants' ability to develop new skills for oral hygiene care. Following the intervention, we conducted interviews with participants and carepartners to understand their challenges in working together to learn new oral hygiene skills. Participants reported challenges such as frustration using the electric toothbrush correctly, lack of desire to change, uncertainty about correctness of technique, and difficulty sustaining two minutes of toothbrushing. Carepartners reported challenges such as learning a new way of toothbrushing, learning new communication techniques, switching from instructing to working together, learning to balance leading with being too bossy, and being mindful of word choices. Findings suggested that despite challenges, participants were able to learn adaptive strategies to support new oral hygiene behaviors with support of the carepartner as the adaptive leader.

Characteristics and Delivery of Diabetes Shared Medical Appointments in North Carolina.

BACKGROUND Successful diabetes care requires patient engagement and health self-management. Diabetes shared medical appointments (SMAs) are an evidence-based approach that enables peer support, diabetes group education, and medication management to improve outcomes. The purpose of this study is to learn how diabetes SMAs are being delivered in North Carolina, including the characteristics of diabetes SMAs across the state.METHOD Twelve health systems in the state of North Carolina were contacted to explore clinical workflow and intervention characteristics with a member of the SMA care delivery team. Surveys were used to assess intervention characteristics and delivery.RESULTS Diabetes SMAs were offered in 10 clinics in 5 of the 12 health systems contacted with considerable heterogeneity across sites. The majority of SMAs were open cohorts (80%), offered monthly (60%) for 1.5 hours (60%). SMAs included a mean of 7.5 ± 3.4 patients with a maximum of 11.2 ± 2.7 patients. Survey data revealed barriers (cost-sharing and provider buy-in) to, and facilitators (leadership support and clinical champions) of, clinical adoption and sustained implementation.LIMITATIONS External validity is limited due to the small sample size and geographic clustering.CONCLUSION There is significant heterogeneity in the delivery and characteristics of diabetes SMAs in North Carolina with only modest uptake across the health systems. Further research to determine best practices and effectiveness in diverse, real-world clinical settings is required to inform implementation and dissemination efforts.

Integration of Personalized Health Planning and Shared Medical Appointments for Patients with Type 2 Diabetes Mellitus.

OBJECTIVES: This study describes the feasibility of implementing personalized health planning (PHP) within shared medical appointments (SMAs) for patients with type 2 diabetes mellitus. The PHP-SMA approach was designed to synergize the benefits of SMAs with those of PHP, enabling greater patient engagement focused on meeting individualized therapeutic goals in a group setting. METHODS: Patients were assigned randomly to a PHP-SMA or a standard eight-session SMA series. Standard SMAs included an interactive educational curriculum delivered in group medical encounters. The PHP-SMA included the addition of a patient self-assessment, health risk assessment, shared patient-provider goal setting, creation of a personal health plan, and follow-up on clinical progress. Clinical and patient-reported outcomes and qualitative data from focus groups with patients, providers, and administrative staff were used for evaluation. Qualitative data explored facilitators and barriers to implementation of the PHP-SMA. The Consolidated Framework for Implementation Research was used to provide insight into implementation factors. RESULTS: PHP was successfully integrated into SMAs in a primary care setting. Patients in the PHP-SMA (n = 12) were more likely to attend ≥5 sessions than patients assigned to the standard SMA (n = 7; 58% PHP, 28.5% control). Qualitative data evaluation described the advantages and barriers to PHP, the team-based approach to care, and patient participation. The PHP-SMA group experienced reductions in hemoglobin A1c, low-density lipoprotein, blood pressure, and body mass index, as well as successful attainment of health goals. CONCLUSIONS: The PHP-SMA is a proactive and participatory approach to chronic care delivery that synergizes the benefits of PHP within SMAs. This study describes the components of this intervention; collects evidence on feasibility, acceptability, and clinical outcomes; and identifies implementation barriers and facilitators. The PHP-SMA warrants further evaluation as an approach to improve health outcomes in patients with common chronic conditions.

Food Insecurity and Social Policy: A Comparative Analysis of Welfare State Regimes in 19 Countries.

We sought to determine whether a country's social policy configuration-its welfare state regime-is associated with food insecurity risk. We conducted a cross-sectional study of 2017 U.N. Food and Agriculture Organization individual-level food insecurity survey data from 19 countries (the most recent data available prior to COVID-19). Countries were categorized into three welfare state regimes: liberal (e.g., the United States), corporatist (e.g., Germany), or social democratic (e.g., Norway). Food insecurity probability, calibrated to an international reference standard, was calculated using a Rasch model. We used linear regression to compare food insecurity probability across regime types, adjusting for per-capita gross domestic product, age, gender, education, and household composition. There were 19,008 participants. The mean food insecurity probability was 0.067 (SD: 0.217). In adjusted analyses and compared with liberal regimes, food insecurity probability was lower in corporatist (risk difference: -0.039, 95% CI -0.066 to -0.011, p = .006) and social democratic regimes (risk difference: -0.037, 95% CI -0.062 to -0.012, p = .004). Social policy configuration is strongly associated with food insecurity risk. Social policy changes may help lower food insecurity risk in countries with high risk.

Embedding implementation science in the research pipeline.

Clinical and health services researchers seek to discover effective programs, practices, and interventions to improve people's health. The current paradigm for evidence generation is incremental and misaligned to translate evidence-based discoveries into real-world settings. This persistent challenge are "valleys of death" that represent missed opportunities and preventable missteps to actually use scientific advancements in real-world clinical settings where they can improve health and well-being (De Geest S, Zúñiga F, Brunkert T et al. Powering Swiss health care for the future: implementation science to bridge "the valley of death". 2020;150:w20323). Only one in seven of evidence-based interventions is ever implemented. It is after an average of 17 years. We propose embedding the principles of implementation science throughout the research pipeline, from discovery to adoption, to efficiently translate discoveries into real-world contexts (Balas EA, Boren SA. Managing clinical knowledge for health care improvement. 2000;9:65-70). We outline implications for capacity building, including composition of the research team, study design, and competencies that could bolster the value proposition of implementation science. We describe a research paradigm that recognizes scientists' responsibility to ensure their discoveries be translated into real-world settings.

Most innovative research is not used in clinical care settings. When it is, it takes a very long time to get into the real world. This means that patients may not get the best care possible to improve their health. The research community has tools that can help design innovative research in ways that it could work in clinical care settings and tools to help that happen faster, so that clinical care teams and patients can use innovative research. This is called implementation science. We outline why it is important to use implementation science ideas and teams earlier and how we can support infrastructure to do so.

Same day discharge following mastectomy and immediate tissue expander reconstruction: The effect of patient expectations.

BACKGROUND AND PURPOSE: Within, we compare the short-term outcomes of patients receiving same day mastectomy and tissue expander reconstruction for those discharged on postoperative day one versus those discharged immediately following surgery to explore the safety, efficacy, and potential impact on hospital processes. METHODS: This was a retrospective review of patients undergoing mastectomy with immediate TE reconstruction from March 2019 to March 2021. Patients were stratified into two cohorts; observation overnight (OBS), and discharge on same day of surgery (DC). RESULTS: In total, 153 patients underwent 256 mastectomies with immediate TE reconstruction. All patients were female and the mean age was 48 years old. The DC cohort contained 71 patients (125 mastectomies) and there were 82 patients (131 mastectomies) within the OBS cohort. On average the DC cohort had a lower BMI than the OBS group (mean ± SD; DC 26.8 kg/m2 ± 5.3 kg/m2, OBS 28.7 kg/m2 ± 6.1 kg/m2, p = 0.05), the DC cohort had higher rates of adjuvant chemotherapy (DC 40.1%, OBS 23.2%, p = 0.02), and were more likely to undergo bilateral TE reconstruction (DC 76%, OBS 60%, p = 0.03) than the OBS group. No differences were observed between cohorts in complication rates regarding primary or secondary outcomes. CONCLUSION: These findings indicate that it is safe and effective within the immediate 7-day post-operative period to immediately discharge patients undergoing mastectomy with immediate TE reconstruction. Additionally, alteration of patient management practices can have a profound impact on the operational flow within hospitals.

Use of Implementation Strategies to Promote the Uptake of Knee Osteoarthritis Practice Guidelines and Improve Patient Outcomes: A Systematic Review.

OBJECTIVE: Translation of knee osteoarthritis (KOA) clinical practice guidelines (CPGs) to practice remains suboptimal. The primary purpose of this systematic review was to describe the use of implementation strategies to promote KOA CPG-recommended care. METHODS: Medline (via PubMed), Embase, CINAHL, and Web of Science were searched from inception to February 23, 2023, and the search was subsequently updated and expanded on January 16, 2024. Implementation strategies were mapped per the Expert Recommendations for Implementing Change taxonomy. Risk of bias (RoB) was assessed using the Cochrane Effective Practice and Organisation of Care criteria. The review was registered prospectively (PROSPERO identifier: CRD42023402383). RESULTS: Nineteen studies were included in the final review. All (100% [n = 4]) studies that included the domains of "provide interactive assistance," "train and educate stakeholders" (89% [n = 16]), "engage consumers" (87% [n = 13]), and "support clinicians" (79% [n = 11]) showed a change to provider adherence. Studies that showed a change to disability included the domains of "train and educate stakeholders," "engage consumers," and "adapt and tailor to context." Studies that used the domains "train and educate stakeholders," "engage consumers," and "support clinicians" showed a change in pain and quality of life. Most studies had a low to moderate RoB. CONCLUSION: Implementation strategies have the potential to impact clinician uptake of CPGs and patient-reported outcomes. The implementation context, using an active learning strategy with a patient partner, restructuring funding models, and integrating taxonomies to tailor multifaceted strategies should be prioritized. Further experimental research is recommended to determine which implementation strategies are most effective.

Evaluation of strategies to support implementation of a hospital walking program: protocol for a type III effectiveness-implementation hybrid trial.

BACKGROUND: STRIDE is a supervised walking program designed to address the negative consequences of immobility during hospitalization for older adults. In an 8-hospital stepped wedge randomized controlled trial, STRIDE was associated with reduced odds of hospital discharge to skilled nursing facility. STRIDE has the potential to become a system-wide approach to address hospital-associated disability in Veteran's Affairs; however, critical questions remain about how best to scale and sustain the program. The overall study goal is to compare the impact of two strategies on STRIDE program penetration (primary), fidelity, and adoption implementation outcomes. METHODS: Replicating Effective Programs will be used as a framework underlying all implementation support activities. In a parallel, cluster randomized trial, we will use stratified blocked randomization to assign hospitals (n = 32) to either foundational support, comprised of standard, low-touch activities, or enhanced support, which includes the addition of tailored, high-touch activities if hospitals do not meet STRIDE program benchmarks at 6 and 8 months following start date. All hospitals begin with foundational support for 6 months until randomization occurs. The primary outcome is implementation penetration defined as the proportion of eligible hospitalizations with ≥ 1 STRIDE walks at 10 months. Secondary outcomes are fidelity and adoption with all implementation outcomes additionally examined at 13 and 16 months. Fidelity will be assessed for STRIDE hospitalizations as the percentage of eligible hospital days with "full dose" of the program, defined as two or more documented walks or one walk for more than 5 min. Program adoption is a binary outcome defined as ≥ 5 patients with a STRIDE walk or not. Analyses will also include patient-level effectiveness outcomes (e.g., discharge to nursing home, length of stay) and staffing and labor costs. We will employ a convergent mixed-methods approach to explore and understand pre-implementation contextual factors related to differences in hospital-level adoption. DISCUSSION: Our study results will dually inform best practices for promoting successful implementation of an evidence-based hospital-based walking program. This information may support other programs by advancing our understanding of how to apply and scale-up national implementation strategies. TRIAL REGISTRATION: This study was registered on June 1, 2021, at ClinicalTrials.gov (identifier NCT04868656 ).

Enhancing team communication to improve implementation of a supervised walking program for hospitalized veterans: Evidence from a multi-site trial in the Veterans Health Administration.

INTRODUCTION: The timely translation of evidence-based programs into real-world clinical settings is a persistent challenge due to complexities related to organizational context and team function, particularly in inpatient settings. Strategies are needed to promote quality improvement efforts and implementation of new clinical programs. OBJECTIVE: This study examines the role of CONNECT, a complexity science-based implementation intervention to promote team readiness, for enhancing implementation of the 'Assisted Early Mobility for Hospitalized Older Veterans' program (STRIDE), an inpatient, supervised walking program. DESIGN: We conducted a stepped-wedge cluster randomized trial using a convergent mixed-methods design. Within each randomly assigned stepped-wedge sequence, Veterans Affairs Medical Centers (VAMCs) were randomized to receive standardized implementation support only or additional training via the CONNECT intervention. Data for the study were obtained from hospital administrative and electronic health records, surveys, and semi-structured interviews with clinicians before and after implementation of STRIDE. SETTING: Eight U.S. VAMCs. PARTICIPANTS: Three hundred fifty-three survey participants before STRIDE implementation and 294 surveys after STRIDE implementation. Ninety-two interview participants. INTERVENTION: CONNECT, a complexity-science-based intervention to improve team function. MAIN OUTCOME MEASURES: The implementation outcomes included STRIDE reach and fidelity. Secondary outcomes included validated measures of team function (i.e., team communication, coordination, role clarity). RESULTS: At four VAMCs randomized to CONNECT, reach was higher (mean 12.4% vs. 3.8%), and fidelity was similar to four non-CONNECT VAMCs. VAMC STRIDE delivery teams receiving CONNECT reported improvements in team function domains, similar to non-CONNECT VAMCs. Qualitative findings highlight CONNECT's impact and the influence of team characteristics and contextual factors, including team cohesion, leadership support, and role clarity, on reach and fidelity. CONCLUSION: CONNECT may promote greater reach of STRIDE, but improvement in team function among CONNECT VAMCs was similar to improvement among non-CONNECT VAMCs. Qualitative findings suggest that CONNECT may improve team function and implementation outcomes but may not be sufficient to overcome structural barriers related to implementation capacity.

Estimated Costs of Intervening in Health-Related Social Needs Detected in Primary Care.

Importance: Health-related social needs are increasingly being screened for in primary care practices, but it remains unclear how much additional financing is required to address those needs to improve health outcomes. Objective: To estimate the cost of implementing evidence-based interventions to address social needs identified in primary care practices. Design, Setting, and Participants: A decision analytical microsimulation of patients seen in primary care practices, using data on social needs from the National Center for Health Statistics from 2015 through 2018 (N = 19 225) was conducted. Primary care practices were categorized as federally qualified health centers (FQHCs), non-FQHC urban practices in high-poverty areas, non-FQHC rural practices in high-poverty areas, and practices in lower-poverty areas. Data analysis was performed from March 3 to December 16, 2022. Intervention: Simulated evidence-based interventions of primary care-based screening and referral protocols, food assistance, housing programs, nonemergency medical transportation, and community-based care coordination. Main Outcomes and Measures: The primary outcome was per-person per-month cost of interventions. Intervention costs that have existing federally funded financing mechanisms (eg, the Supplemental Nutrition Assistance Program) and costs without such an existing mechanism were tabulated. Results: Of the population included in the analysis, the mean (SD) age was 34.4 (25.9) years, and 54.3% were female. Among people with food and housing needs, most were program eligible for federally funded programs, but had low enrollment (eg, due to inadequate program capacity), with 78.0% of people with housing needs being program eligible vs 24.0% enrolled, and 95.6% of people with food needs being program eligible vs 70.2% enrolled. Among those with transportation insecurity and care coordination needs, eligibility criteria limited enrollment (26.3% of those in need being program eligible for transportation programs, and 5.7% of those in need being program eligible for care coordination programs). The cost of providing evidence-based interventions for these 4 domains averaged $60 (95% CI, $55-$65) per member per month (including approximately $5 for screening and referral management in clinics), of which $27 (95% CI, $24-$31) (45.8%) was federally funded. While disproportionate funding was available to populations seen at FQHCs, populations seen at non-FQHC practices in high-poverty areas had larger funding gaps (intervention costs not borne by existing federal funding mechanisms). Conclusions and Relevance: In this decision analytical microsimulation study, food and housing interventions were limited by low enrollment among eligible people, whereas transportation and care coordination interventions were more limited by narrow eligibility criteria. Screening and referral management in primary care was a small expenditure relative to the cost of interventions to address social needs, and just under half of the costs of interventions were covered by existing federal funding mechanisms. These findings suggest that many resources are necessary to address social needs that fall largely outside of existing federal financing mechanisms.

Adherence to cardiovascular disease risk factor medications among patients with cancer: a systematic review.

PURPOSE: The most common cause of mortality for many cancer survivors is cardiovascular disease (CVD). This requires a shift in thinking where control of CVD risk factor-related comorbidity is paramount. Our objective was to provide an understanding of adherence to medications for the management of CVD risk factor-related comorbidities among cancer survivors. METHODS: We systematically searched for articles indexed in MEDLINE (via PubMed), Embase, Cochrane (Wiley), PsycINFO, and Scopus (via Elsevier) for articles published from inception to October 31, 2019, and updated the search on June 7, 2021. English language, original research that assessed medication adherence to common CVD risk factor-related comorbidities among cancer survivors was included. We assessed risk of bias using the Mixed Methods Appraisal Tool. RESULTS: Of the 21 studies included, 57% focused on multiple cancer types. Seventy-one percent used pharmacy-based adherence measures. Two were prospective. Adherence was variable across cancer types and CVD risk factor-related comorbidities. Among the studies that examined changes in comorbid medication adherence, most noted a decline in adherence following cancer diagnosis and throughout cancer treatment. There was a focus on breast cancer populations. CONCLUSIONS: CVD risk factor-related medication adherence is low among cancer survivors and declines over time. Given the risk for CVD-mortality among cancer survivors, testing of interventions aimed at improving adherence to non-cancer medications is critically needed. IMPLICATIONS FOR CANCER SURVIVORS: For many cancer survivors, regularly taking medications to manage CVD risk is important for longevity. Engaging with primary care throughout the cancer care trajectory may be important to support cardiovascular health.