Real-world evidence of Pressure-Enabled Drug Delivery for trans-arterial chemoembolization and radioembolization among patients with hepatocellular carcinoma and liver metastases.

OBJECTIVES: Pressure-Enabled Drug Delivery (PEDD), a method using pressure to advance catheter-delivered drug distribution, can improve treatment for hepatocellular carcinoma (HCC) and liver metastases, but real-world evidence is limited. We compared baseline patient characteristics, clinical complexity, and post-procedure healthcare resource utilization (HRUs) and clinical complications for PEDD and non-PEDD procedures. METHODS: This study used a retrospective, longitudinal, cohort design of claims data from Clarivate's Real World Data Repository, which includes 98% of US payers with over 300 million unique patients from all US states. We identified patients with a trans-arterial chemoembolization (TACE) or trans-arterial radioembolization (TARE) from 1 January 2019 to 31 December 2022. Subsamples grouped patients with HCC receiving a TARE procedure at their first embolization and patients with metastatic colorectal cancer (CRC) that received a TARE procedure. We reported descriptive comparisons of our full sample of patients with HCC and liver metastases receiving PEDD versus non-PEDD procedures. We then conducted a matching-adjusted comparison of HRUs and clinical complications for PEDD and non-PEDD patients among our subsamples (HCC receiving a TARE procedure at their first embolization and patients with metastatic CRC that received a TARE procedure). Matching was based on baseline demographic and clinical characteristics using coarsened exact matching and propensity-score matching. HRUs included inpatient, outpatient, and emergency department visits. Clinical complications included ascites, cholecystitis, fatigue, gastric ulcer, gastritis, jaundice, LFT increase, lymphopenia, portal hypertension, and post-embolization syndrome. RESULTS: PEDD procedures were used on patients with worse baseline disease burdens: baseline Charlson comorbidity index (mean of 6.5 vs. 5.8), any prior clinical complication related to underlying disease (33.7 vs. 31.0%), and prior systemic therapy (22.1% vs. 16.2%). PEDD patients had a greater number of procedural codes indicative of technical complexity for TACE (PEDD mean = 226.3; non-PEDD mean = 134.5; p value <.01) and TARE (PEDD mean = 205.56; non-PEDD mean = 94.8; p value <0.01). Matching-adjusted analyses of patients with HCC and CRC demonstrated comparable HRU and clinical complications for PEDD and non-PEDD procedures post-index. CONCLUSION: Despite higher baseline disease burden and complexity, post-procedure HRU and clinical complications for PEDD patients were similar to non-PEDD patients. The complex baseline clinical profile may reflect selection of challenging cases for PEDD use. Future studies should validate the benefits observed with PEDD embolization in larger samples with greater statistical power.

Hospital Capabilities Associated With Behavioral Health Integration Within Emergency Departments.

OBJECTIVES: To identify hospital capabilities associated with behavioral health (BH) processes in emergency departments (EDs). RESEARCH DESIGN: Six hundred two hospital responses to the 2017/2018 National Survey of Healthcare Organizations and Systems were linked to 2017 American Hospital Association Annual Survey data. Separate multivariable regressions estimated how hospital capabilities (the use of quality improvement methods, approaches to disseminate best patient-care practices, barriers to using care delivery innovations, and inpatient beds for psychiatric or substance use) were associated with each of 4 ED-based BH processes: mental health and substance use disorder screening, team-based approaches to BH, telepsychiatry, and direct referrals to community-based BH clinicians. Models controlled for hospital structural characteristics and area-level socioeconomic factors. RESULTS: Most hospitals screened for BH conditions and provided direct referrals to community-based BH clinicians. Approximately half of the hospitals used a team approach to BH. A minority had implemented telepsychiatry. Each additional process used to disseminate best patient-care practices was associated with more screening for BH conditions (an increase of 4.07 points on the screening index, P <0.01) and greater likelihood of using a team approach to BH [4.41 percentage point ( P <0.01) increase]. Hospitals reporting more barriers to the use of care delivery innovations reported less screening and use of a team approach [a decrease of 0.15 points on the screening index ( P <0.01) and 0.28 percentage points reduction in likelihood of team approach use ( P <0.001) for 1-point increase in the barrier index]. CONCLUSIONS: Research and interventions focused on removing innovation barriers or adding processes to disseminate best practices offer a path to accelerate BH integration in hospital EDs.

Availability of Medication for Opioid Use Disorder Among Accountable Care Organizations: Evidence From a National Survey.

OBJECTIVE: This report aimed to assess how accountable care organizations (ACOs) addressed ongoing opioid use disorder treatment needs over time. METHODS: Responses from the 2018 (N=308 organizations) and 2022 (N=276) National Survey of Accountable Care Organizations (response rate=55% in both years) were used to examine changes in availability of medication for opioid use disorder (MOUD) among ACOs with Medicare and Medicaid contracts. RESULTS: The percentage of respondents offering at least one MOUD grew from 39% in 2018 to 52% in 2022 (p<0.01). MOUDs were more likely to be available in 2022 among ACOs with (vs. without) in-network substance use treatment facilities (80% vs. 33%, p<0.001). The percentage of 2022 respondents who reported offering MOUD was similar in states with high versus low opioid overdose mortality rates. CONCLUSIONS: Despite growing availability of MOUD among ACOs, nearly half reported not offering any MOUD in 2022, and the availability of MOUD did not increase with treatment need.

Provision of Digital Health Technologies for Opioid Use Disorder Treatment by US Health Care Organizations.

Importance: Digital health technologies may expand organizational capacity to treat opioid use disorder (OUD). However, it remains unclear whether these technologies serve as substitutes for or complements to traditional substance use disorder (SUD) treatment resources in health care organizations. Objective: To characterize the use of patient-facing digital health technologies for OUD by US organizations with accountable care organization (ACO) contracts. Design, Setting, and Participants: This cross-sectional study analyzed responses to the 2022 National Survey of Accountable Care Organizations (NSACO), collected between October 1, 2021, and June 30, 2022, from US organizations with Medicare and Medicaid ACO contracts. Data analysis was performed between December 15, 2022, and January 6, 2023. Exposures: Treatment resources for SUD (eg, an addiction medicine specialist, sufficient staff to treat SUD, medications for OUD, a specialty SUD treatment facility, a registry to identify patients with OUD, or a registry to track mental health for patients with OUD) and organizational characteristics (eg, organization type, Medicaid ACO contract). Main Outcomes and Measures: The main outcomes included survey-reported use of 3 categories of digital health technologies for OUD: remote mental health therapy and tracking, virtual peer recovery support programs, and digital recovery support for adjuvant cognitive behavior therapy (CBT). Statistical analysis was conducted using descriptive statistics and multivariable logistic regression models. Results: Overall, 276 of 505 organizations responded to the NSACO (54.7% response rate), with a total of 304 respondents. Of these, 161 (53.1%) were from a hospital or health system, 74 (24.2%) were from a physician- or medical group-led organization, and 23 (7.8%) were from a safety-net organization. One-third of respondents (101 [33.5%]) reported that their organization used at least 1 of the 3 digital health technology categories, including remote mental health therapy and tracking (80 [26.5%]), virtual peer recovery support programs (46 [15.1%]), and digital recovery support for adjuvant CBT (27 [9.0%]). In an adjusted analysis, organizations with an addiction medicine specialist (average marginal effect [SE], 32.3 [4.7] percentage points; P < .001) or a registry to track mental health (average marginal effect [SE], 27.2 [3.8] percentage points; P < .001) were more likely to use at least 1 category of technology compared with otherwise similar organizations lacking these capabilities. Conclusions and Relevance: In this cross-sectional study of 276 organizations with ACO contracts, organizations used patient-facing digital health technologies for OUD as complements to available SUD treatment capabilities rather than as substitutes for unavailable resources. Future studies should examine implementation facilitators to realize the potential of emerging technologies to support organizations facing health care practitioner shortages and other barriers to OUD treatment delivery.

Multilevel influences on patient engagement and chronic care management.

OBJECTIVES: Physician practices are increasingly owned by health systems, which may support or hinder adoption of innovative care processes for adults with chronic conditions. We examined health system- and physician practice-level capabilities associated with adoption of (1) patient engagement strategies and (2) chronic care management processes for adult patients with diabetes and/or cardiovascular disease. STUDY DESIGN: We analyzed data collected from the National Survey of Healthcare Organizations and Systems, a nationally representative survey of physician practices (n = 796) and health systems (n = 247) (2017-2018). METHODS: Multivariable multilevel linear regression models estimated system- and practice-level characteristics associated with practice adoption of patient engagement strategies and chronic care management processes. RESULTS: Health systems with processes to assess clinical evidence (ß = 6.54 points on a 0-100 scale; P = .004) and with more advanced health information technology (HIT) functionality (ß = 2.77 points per SD increase on a 0-100 scale; P = .03) adopted more practice-level chronic care management processes, but not patient engagement strategies, compared with systems lacking these capabilities. Physician practices with cultures oriented to innovation, more advanced HIT functionality, and with a process to assess clinical evidence adopted more patient engagement strategies and chronic care management processes. CONCLUSIONS: Health systems may be better able to support the adoption of practice-level chronic care management processes, which have a strong evidence base for implementation, compared with patient engagement strategies, which have less evidence to guide effective implementation. Health systems have an opportunity to advance patient-centered care by expanding practice-level HIT functionality and developing processes to appraise clinical evidence for practices.

Internal and Environmental Predictors of Physician Practice Use of Screening and Medications for Opioid Use Disorders.

Medications for opioid use disorder (MOUD) remain highly inaccessible despite demonstrated effectiveness. We examine the extent of screening for opioid use and availability of MOUD in a national cross-section of multi-physician primary care and multispecialty practices. Drawing on an existing framework to characterize the internal and environmental context, we assess socio-technical, organizational-managerial, market-based, and state-regulation factors associated with the use of opioid screening and offering of MOUD in a practice. A total of 26.2% of practices offered MOUD, while 69.4% of practices screened for opioid use. Having advanced health information technology functionality was positively associated with both screening for opioid use and offering MOUD in a practice, while access to on-site behavioral clinicians was positively associated with offering MOUD in adjusted models. These results suggest that improving access to information and expertise may enable physician practices to respond more effectively to the nation's ongoing opioid epidemic.

Adoption of Patient Engagement Strategies by Physician Practices in the United States.

BACKGROUND: Patient engagement strategies can equip patients with tools to navigate treatment decisions and improve patient-centered outcomes. Despite increased recognition about the importance of patient engagement, little is known about the extent of physician practice adoption of patient engagement strategies nationally. METHODS: We analyzed data collected from the National Survey of Healthcare Organizations and Systems (NSHOS) on physician practice adoption of patient engagement strategies. Stratified-cluster sampling was used to select physician practices operating under different organizational structures. Multivariable linear regression models estimated the association of practice ownership, health information technology functionality, use of screening activities, patient responsiveness, chronic care management processes, and the adoption of patient engagement strategies, including shared decision-making, motivational interviewing, and shared medical appointments. All regression models controlled for participation in payment reforms, practice size, Medicaid revenue percentage, and geographic region. RESULTS: We found modest and varied adoption of patient engagement strategies by practices of different ownership types, with health system-owned practices having the lowest adoption of ownership types. Practice capabilities, including chronic care management processes, routine screening of medical and social risks, and patient care dissemination strategies were associated with greater practice-level adoption of patient engagement strategies. CONCLUSIONS: This national study is the first to characterize the adoption of patient engagement strategies by US physician practices. We found modest adoption of shared decision-making and motivational interviewing, and low adoption of shared medical appointments. Risk-based payment reform has the potential to motivate greater practice-level patient engagement, but the extent to which it occurs may depend on internal practice capabilities.

Associations Between Different Self-reported Social Risks and Neighborhood-level Resources in Medicaid Patients.

BACKGROUND: Adverse social conditions are a key contributor to health disparities. Improved understanding of how social risk factors interact with each other and with neighborhood characteristics may inform efforts to reduce health disparities. DATA: A questionnaire of 29,281 patients was collected through the enrollment of Medicaid beneficiaries in a large Northern California integrated health care delivery system between May 2016 and February 2020. EXPOSURES: Living in the least resourced quartile of neighborhoods as measured by a census-tract level Neighborhood Deprivation Index score. MAIN OUTCOMES: Five self-reported social risk factors: financial need, food insecurity, housing barriers, transportation barriers, and functional limitations. RESULTS: Nearly half (42.0%) of patients reported at least 1 social risk factor; 22.4% reported 2 or more. Mean correlation coefficient between social risk factors was ρ=0.30. Multivariable logistic models controlling for age, race/ethnicity, sex, count of chronic conditions, and insurance source estimated that living in the least resourced neighborhoods was associated with greater odds of food insecurity (adjusted odds ratio=1.07, 95% confidence interval: 1.00-1.13) and transportation barriers (adjusted odds ratio=1.20, 95% confidence interval: 1.11-1.30), but not financial stress, housing barriers, or functional limitations. CONCLUSIONS AND RELEVANCE: We found that among 5 commonly associated social risk factors, Medicaid patients in a large Northern California health system typically reported only a single factor and that these factors did not correlate strongly with each other. We found only modestly greater social risk reported by patients in the least resourced neighborhoods. These results suggest that individual-level interventions should be targeted to specific needs whereas community-level interventions may be similarly important across diverse neighborhoods.

Pathways for primary care practice adoption of patient engagement strategies.

OBJECTIVE: To identify potential orderings of primary care practice adoption of patient engagement strategies overall and separately for interpersonally and technologically oriented strategies. DATA SOURCES: We analyzed physician practice survey data (n = 71) on the adoption of 12 patient engagement strategies. STUDY DESIGN: Mokken scale analysis was used to assess latent traits among the patient engagement strategies. DATA COLLECTION: Three groupings of patient engagement strategies were analyzed: (1) all 12 patient engagement strategies, (2) six interpersonally oriented strategies, and (3) six technologically oriented strategies. PRINCIPAL FINDINGS: We did not find scalability among all 12 patient engagement strategies, however, separately analyzing the subgroups of six interpersonally and six technologically oriented strategies demonstrated scalability (Loevinger's H coefficient of scalability [range]: interpersonal strategies, H = 0.54 [0.49-0.60], technological strategies, H = 0.42 [0.31, 0.54]). Ordered patterns emerged in the adoption of strategies for both interpersonal and technological types. CONCLUSIONS: Common pathways of practice adoption of patient engagement strategies were identified. Implementing interpersonally intensive patient engagement strategies may require different physician practice capabilities than technological strategies. Rather than simultaneously adopting multiple patient engagement strategies, gradual and purposeful practice adoption may improve the impact of these strategies and support sustainability.

Hospital Adoption of Electronic Decision Support Tools for Preeclampsia Management.

BACKGROUND: Electronic health record (EHR)-based clinical decision support tools can improve the use of evidence-based clinical guidelines for preeclampsia management that can reduce maternal mortality and morbidity. No study has investigated the organizational capabilities that enable hospitals to use EHR-based decision support tools to manage preeclampsia. OBJECTIVE: To examine the association of organizational capabilities and hospital adoption of EHR-based decision support tools for preeclampsia management. METHODS: Cross-sectional analyses of hospitals providing obstetric care in 2017. In total, 739 hospitals responded to the 2017-2018 National Survey of Healthcare Organizations and Systems (NSHOS) and were linked to the 2017 American Hospital Association (AHA) Annual Survey Database and the Area Health Resources File (AHRF). A total of 425 hospitals providing obstetric care across 49 states were included in the analysis. The main outcome was whether a hospital adopted EHR-based clinical decision support tools for preeclampsia management. Hospital organizational capabilities assessed as predictors include EHR functions, adoption of evidence-based clinical treatments, use of quality improvement methods, and dissemination processes to share best patient care practices. Logistic regression estimated the association of hospital organizational capabilities and hospital adoption of EHR-based decision support tools to manage preeclampsia, controlling for hospital structural and patient sociodemographic characteristics. RESULTS: Two-thirds of the hospitals (68%) adopted EHR-based decision support tools for preeclampsia, and slightly more than half (56%) of hospitals had a single EHR system. Multivariable regression results indicate that hospitals with a single EHR system were more likely to adopt EHR-based decision support tools for preeclampsia (17.4 percentage points; 95% CI, 1.9 to 33.0; P < .05) than hospitals with a mixture of EHR and paper-based systems. Compared with hospitals having multiple EHRs, on average, hospitals having a single EHR were also more likely to adopt the tools by 9.3 percentage points, but the difference was not statistically significant (95% CI, -1.3 to 19.9). Hospitals with more processes to aid dissemination of best patient care practices were also more likely to adopt EHR-based decision-support tools for preeclampsia (0.4 percentage points; 95% CI, 0.1 to 0.6, for every 1-unit increase in dissemination processes; P < .01). CONCLUSION: Standardized EHRs and policies to disseminate evidence are foundational hospital capabilities that can help advance the use of EHR-based decision support tools for preeclampsia management in the approximately one-third of US hospitals that still do not use them.

Evaluation of a social determinants of health screening questionnaire and workflow pilot within an adult ambulatory clinic.

BACKGROUND: There is increased recognition in clinical settings of the importance of documenting, understanding, and addressing patients' social determinants of health (SDOH) to improve health and address health inequities. This study evaluated a pilot of a standardized SDOH screening questionnaire and workflow in an ambulatory clinic within a large integrated health network in Northern California. METHODS: The pilot screened for SDOH needs using an 11-question Epic-compatible paper questionnaire assessing eight SDOH and health behavior domains: financial resource, transportation, stress, depression, intimate partner violence, social connections, physical activity, and alcohol consumption. Eligible patients for the pilot receiving a Medicare wellness, adult annual, or new patient visits during a five-week period (February-March, 2020), and a comparison group from the same time period in 2019 were identified. Sociodemographic data (age, sex, race/ethnicity, and payment type), visit type, length of visit, and responses to SDOH questions were extracted from electronic health records, and a staff experience survey was administered. The evaluation was guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. RESULTS: Two-hundred eighty-nine patients were eligible for SDOH screening. Responsiveness by domain ranged from 55 to 67%, except for depression. Half of patients had at least one identified social need, the most common being stress (33%), physical activity (22%), alcohol (12%), and social connections (6%). Physical activity needs were identified more in females (81% vs. 19% in males, p < .01) and at new patient/transfer visits (48% vs. 13% at Medicare wellness and 38% at adult wellness visits, p < .05). Average length of visit was 39.8 min, which was 1.7 min longer than that in 2019. Visit lengths were longer among patients 65+ (43.4 min) and patients having public insurance (43.6 min). Most staff agreed that collecting SDOH data was relevant and accepted the SDOH questionnaire and workflow but highlighted opportunities for improvement in training and connecting patients to resources. CONCLUSION: Use of evidence-based SDOH screening questions and associated workflow was effective in gathering patient SDOH information and identifying social needs in an ambulatory setting. Future studies should use qualitative data to understand patient and staff experiences with collecting SDOH information in healthcare settings.

Interdisciplinary Primary Care Team Expertise and Diabetes Care Management.

BACKGROUND: Interdisciplinary primary care team expertise can aid patient self management of type 2 diabetes, but small community health centers (CHCs) may not have the volume to consistently provide interprofessional care. We examine whether care team role expertise is associated with patients' experiences of chronic care and whether the relationship is stronger for small CHC sites. METHODS: Surveys of 1277 adults with diabetes (2012; response rate = 47%) that assessed nonphysician team roles involved in managing their chronic care, including community health workers, diabetes educators, nutritionists, pharmacists, mental health providers, and other general staff, were integrated with clinical and administrative data from 14 CHCs. Random effects regression models estimated the association of team expertise, CHC size, and 1) patients' experiences of chronic care; and 2) hemoglobin A1c control, controlling for patient comorbidities, sex, race/ethnicity/primary language, age, and insurance coverage. RESULTS: Care teams with community health workers ( ß = 7.67, P < .01), diabetes educators ( ß = 6.05, P < .01), nutritionists ( ß = 5.21, P < .01), and other general staff ([Formula: see text] =4.96, P = .02) were associated with better patients' experiences of chronic care, but not hemoglobin A1c control. Patients of small CHC sites reported better experiences of care ( ß = 2.15, P = .03) with each additional team role reported, but the relationship was not significant for large CHCs. CONCLUSIONS: Patients with access to care team expertise in self-management support, including diabetes educators, nutritionists, community health workers, and other general staff report better experiences of chronic care. These team roles may reduce barriers to patient self management and improve patients' overall experiences of chronic care, particularly in small CHC sites.

CREATE Wellness: A multi-component behavioral intervention for patients not responding to traditional Cardiovascular disease management.

BACKGROUND/AIMS: Cardiovascular disease (CVD) is the leading cause of death in the US. Many patients do not benefit from traditional disease management approaches to CVD risk reduction. Here we describe the rationale, development, and implementation of a multi-component behavioral intervention targeting patients who have persistently not met goals of CVD risk factor control. METHODS: Informed by published evidence, relevant theoretical frameworks, stakeholder advice, and patient input, we developed a group-based intervention (Changing Results: Engage and Activate to Enhance Wellness; "CREATE Wellness") to address the complex needs of patients with elevated or unmeasured CVD-related risk factors. We are testing this intervention in a randomized trial among patients with persistent (i.e > 2 years) sub-optimal risk factor control despite being enrolled in an advanced and highly successful CVD disease management program. RESULTS: The CREATE Wellness intervention is designed as a 3 session, group-based intervention combining proven elements of patient activation, health system engagement skills training, shared decision making, care planning, and identification of lifestyle change barriers. Our key learnings in designing the intervention included the value of multi-level stakeholder input and the importance of pragmatic skills training to address barriers to care. CONCLUSIONS: The CREATE Wellness intervention represents an evidence-based, patient-centered approach for patients not responding to traditional disease management. The trial is currently underway at three medical facilities within Kaiser Permanente Northern California and next steps include an evaluation of efficacy, adaptation for non-English speaking patient populations, and modification of the curriculum for web- or phone-based versions. CLINICALTRIALSGOV IDENTIFIER: NCT02302612.

Smoking Trends Among Adults With Behavioral Health Conditions in Integrated Health Care: A Retrospective Cohort Study.

OBJECTIVE: Individuals with behavioral health conditions (BHCs) smoke at high rates and have limited success with quitting, despite impressive gains in recent decades in reducing the overall prevalence of smoking in the United States. This study examined smoking disparities among individuals with BHCs within an integrated health care delivery system with convenient access to tobacco treatments. METHODS: The sample consisted of patients in an integrated health care delivery system in 2010-a group (N=155,733) with one or more of the five most prevalent BHCs (depressive disorders, anxiety disorders, substance use disorders, bipolar and related disorders, and attention-deficit hyperactivity disorder) and a group (N=155,733) without BHCs who were matched on age, sex, and medical home facility. The odds of smoking among patients with BHCs versus without BHCs were examined over four years using logistic regression generalized estimating equation models. Tobacco cessation medication utilization among a subset of smokers in 2010 was also examined. RESULTS: Although smoking prevalence decreased from 2010 to 2013 overall, the likelihood of smoking decreased significantly more slowly among patients with BHCs compared with patients without BHCs (p<.001), most notably among patients with substance use and bipolar and related disorders. Tobacco cessation medication use was low, and smokers with BHCs were more likely than smokers without BHCs to utilize these products (6.2% versus 3.6%, p<.001). CONCLUSIONS: Smoking decreased more slowly among individuals with BHCs compared with individuals without BHCs, even within an integrated health care system, highlighting the need to prioritize smoking cessation within specialty behavioral health treatment.