Equitable Care for Hypertension: Blood Pressure and Patient-Reported Outcomes of the RICH LIFE Cluster Randomized Trial.

BACKGROUND: Disparities in hypertension control are well documented but underaddressed. METHODS: RICH LIFE (Reducing Inequities in Care of Hypertension: Lifestyle Improvement for Everyone) was a 2-arm, cluster randomized trial comparing the effect on blood pressure (BP) control (systolic BP ≤140 mm Hg, diastolic BP ≤90 mm Hg), patient activation, and disparities in BP control of 2 multilevel interventions, standard of care plus (SCP) and collaborative care/stepped care (CC/SC). SCP included BP measurement standardization, audit and feedback, and equity-leadership training. CC/SC added roles to address social or medical needs. Primary outcomes were BP control and patient activation at 12 months. Generalized estimating equations and mixed-effects regression models with fixed effects of time, intervention, and their interaction compared change in outcomes at 12 months from baseline. RESULTS: A total of 1820 adults with uncontrolled BP and ≥1 other risk factors enrolled in the study. Their mean age was 60.3 years, and baseline BP was 152.3/85.5 mm Hg; 59.4% were women; 57.4% were Black, 33.2% were White, and 9.4% were Hispanic; 74% had hyperlipidemia; and 45.1% had type 2 diabetes. CC/SC did not improve BP control rates more than SCP. Both groups achieved statistically and clinically significant BP control rates at 12 months (CC/SC: 57.3% [95% CI, 52.7%-62.0%]; SCP: 56.7% [95% CI, 51.9%-61.5%]). Pairwise comparisons between racial and ethnic groups showed overall no significant differences in BP control at 12 months. Patients with coronary heart disease showed greater achievement of BP control in CC/SC than in SCP (64.0% [95% CI, 54.1%-73.9%] versus 50.8% [95% CI, 42.6%-59.0%]; P=0.04), as did patients in rural areas (67.3% [95% CI, 49.8%-84.8%] versus 47.8% [95% CI, 32.4%-63.2%]; P=0.01). Individuals in both arms experienced statistically and clinically significant reductions in mean systolic BP (CC/SC: -13.8 mm Hg [95% CI, -15.2 to -12.5]; SCP: -14.6 mm Hg [95% CI, -15.9 to -13.2]) and diastolic BP (CC/SC: -6.9 mm Hg [95% CI, -7.8 to -6.1]; SCP: -5.5 mm Hg [95% CI, -6.4 to -4.6]) over time. The difference in diastolic BP reduction between CC/SC and SCP over time was statistically significant (-1.4 mm Hg [95% CI, -2.6 to -0.2). Patient activation did not differ between arms. CC/SC showed greater improvements in patient ratings of chronic illness care (Patient Assessment of Chronic Illness Care score) over 12 months (0.12 [95% CI, 0.02-0.22]). CONCLUSIONS: Adding a collaborative care team to enhanced standard of care did not improve BP control but did improve patient ratings of chronic illness care.

START Diabetes Prevention: A Multi-Level Strategy for Primary Care Clinics.

Background: Prediabetes, a high-risk state for developing diabetes, affects more than 1 in 3 adults nationally. However, <5% of people with prediabetes are receiving any treatment for prediabetes. Prior intervention studies for increasing prediabetes treatment uptake have largely focused on individual barriers with few multi-level interventions that address clinician- and system-level barriers. Objective: To measure the effectiveness of a multi-level intervention on uptake of prediabetes treatment in a primary care clinic. Design: Pragmatic study of the START (Screen, Test, Act, Refer and Treat) Diabetes Prevention intervention. Participants: The START Diabetes Prevention intervention was implemented in a suburban primary care clinic outside of Baltimore compared to a control clinic in the same area over a 12-month period. Intervention: START Diabetes Prevention intervention included a structured workflow, shared decision-making resources and electronic health record clinical decision support tools. Main Measures: Uptake of prediabetes treatment, defined as Diabetes Prevention Program referral, metformin prescription and/or medical nutrition referral within 30 days of any PCC visit. Key Results: We demonstrated greater uptake of preventive treatment among patients with prediabetes in the intervention clinic vs. control clinic receiving usual care (11.6% vs. 6.7%, p<0.001). More patients in the intervention vs. control clinic reported their PCC discussed prediabetes with them (60% vs. 48%, p=0.002) and more felt overall that they understood what their doctor was telling them about prediabetes and that their opinion was valued. The START Diabetes Prevention Strategy had greater acceptability and usefulness to PCCs at the study end compared to baseline. Conclusions: A low-touch multi-level intervention is effective in increasing prediabetes treatment uptake. The intervention was also acceptable and feasible for clinicians, and enhanced patient understanding and discussions of prediabetes with their clinicians.

Multi-Team Shared Expectations Tool (MT-SET): An Exercise to Improve Teamwork Across Health Care Teams.

Care transitions among high-intensity units caring for patients with complex needs are a critical yet undeveloped area of patient safety research. In addition, effective communication and coordination across disciplines remain elusive. This study introduces and tests the Multi-Team Shared Expectations Tool (MT-SET), an exercise that aims to engage health care teams in eliciting needs and establishing agreed-upon expectations teams and individuals within a multi-team system have of one another. We piloted the exercise within hospital-based workflows for oncology inpatients and later adopted it to elicit data on mutual needs and expectations of teams across units involved in patient transitions in two patient safety projects. Our studies demonstrated that the exercise identified common cross-unit coordination problems of delays in care, unwanted variations in care, and lack of standardized communication among units. It also revealed mismatched prioritization of each of these problems between specific unit types. The participants reported that the MT-SET helped establish positive relationships for building better cross-unit and cross-disciplinary teamwork and coordination. There is a need for systematic approaches to understand and facilitate cross-unit communication and coordination in care delivery and transitions. Future studies should broaden the application of the exercise to additional types of multi-unit and multidisciplinary teams and observe intervention ideas generated from the exercise, as well as their implementation.

A Pandemic of Misinformation: Understanding Influences on Beliefs in Health and Conspiracy Myths.

BACKGROUND: Personal characteristics may be associated with believing misinformation and not believing in best practices to protect oneself from COVID-19. OBJECTIVE: To examine the associations of a person's age, race/ethnicity, education, residence, health literacy, medical mistrust level, and sources of health-related information with their COVID-19 health and conspiracy myth beliefs. DESIGN: We surveyed adults with hypertension in Maryland and Pennsylvania between August 2020 and March 2021. Incorrect responses were summed for eight health (mean = 0.68; range 0-5) and two conspiracy (mean = 0.92; range 0-2) COVID-19 questions. Higher scores indicated more incorrect responses. Statistical analyses included two-sample t-tests, Spearman's correlation, and log binomial regression. PARTICIPANTS: In total, 561 primary care patients (mean age = 62.3 years, 60.2% female, 46.0% Black, 10.2% Hispanic, 28.2% with a Bachelor's degree or higher, 42.8% with annual household income less than $60,000) with a diagnosis of hypertension and at least one of five commonly associated conditions. MAIN MEASURES: Sociodemographic characteristics, health literacy, medical mistrust level, source of health-related information, and COVID-19 conspiracy and health myth beliefs. KEY RESULTS: In multivariable analyses, participants who did not get information from medical professional sources (prevalence ratio (PR) = 1.28; 95% CI = 1.06-1.55), had less than a bachelor's degree (PR = 1.49; 95% CI = 1.12-1.99), were less confident filling out medical forms (PR = 1.24; 95% CI = 1.02-1.50), and had higher medical mistrust (PR = 1.34; 95% CI = 1.05-1.69) were more likely to believe any health myths. Participants who had less than a bachelor's degree (PR = 1.22; 95% CI = 1.02-1.45), were less confident filling out medical forms (PR = 1.21; 95% CI = 1.09-1.34), and had higher medical mistrust (PR = 1.72; 95% CI = 1.43-2.06) were more likely to believe any conspiracy myths. CONCLUSIONS: Lower educational attainment and health literacy, greater medical mistrust, and certain sources of health information are associated with misinformed COVID-19 beliefs. Programs addressing misinformation should focus on groups affected by these social determinants of health by encouraging reliance on scientific sources.

Evaluating Effects of Multilevel Interventions on Disparity in Health and Healthcare Decisions.

In this paper, we introduce an analytic approach for assessing effects of multilevel interventions on disparity in health outcomes and health-related decision outcomes (i.e., a treatment decision made by a healthcare provider). We outline common challenges that are encountered in interventional health disparity research, including issues of effect scale and interpretation, choice of covariates for adjustment and its impact on effect magnitude, and the methodological challenges involved with studying decision-based outcomes. To address these challenges, we introduce total effects of interventions on disparity for the entire sample and the treated sample, and corresponding direct effects that are relevant for decision-based outcomes. We provide weighting and g-computation estimators in the presence of study attrition and sketch a simulation-based procedure for sample size determinations based on precision (e.g., confidence interval width). We validate our proposed methods through a brief simulation study and apply our approach to evaluate the RICH LIFE intervention, a multilevel healthcare intervention designed to reduce racial and ethnic disparities in hypertension control.

Using the Translating Research into Practice framework to develop a diabetes prevention intervention in primary care: a mixed-methods study.

BACKGROUND: Pre-diabetes affects one-third of US adults and increases the risk of type 2 diabetes. Effective evidence-based interventions, such as the Diabetes Prevention Program, are available, but a gap remains in effectively translating and increasing uptake of these interventions into routine care. METHODS: We applied the Translating Research into Practice (TRiP) framework to guide three phases of intervention design and development for diabetes prevention: (1) summarise the evidence, (2) identify local barriers to implementation and (3) measure performance. In phase 1, we conducted a retrospective cohort analysis of linked electronic health record claims data to evaluate current practices in the management of pre-diabetes. In phase 2, we conducted in-depth interviews of 16 primary care physicians, 7 payor leaders and 31 patients to elicit common barriers and facilitators for diabetes prevention. In phase 3, using findings from phases 1 and 2, we developed the core elements of the intervention and performance measures to evaluate intervention uptake. RESULTS: In phase 1 (retrospective cohort analysis), we found few patients with pre-diabetes received diabetes prevention interventions. In phase 2 (stakeholder engagement), we identified common barriers to include a lack of knowledge about pre-diabetes among patients and about the Diabetes Prevention Program among clinicians. In phase 3 (intervention development), we developed the START Diabetes Prevention Clinical Pathway as a systematic change package to address barriers and facilitators identified in phases 1 and 2, performance measures and a toolkit of resources to support the intervention components. CONCLUSIONS: The TRiP framework supported the identification of evidence-based care practices for pre-diabetes and the development of a well-fitted, actionable intervention and implementation plan designed to increase treatment uptake for pre-diabetes in primary care settings. Our change package can be adapted and used by other health systems or clinics to target prevention of diabetes or other related chronic conditions.

Tobacco smoking and nicotine vaping in persons with first episode psychosis.

Tobacco smoking is highly prevalent in persons with psychosis and is the leading cause of preventable mortality in this population. Less is known about tobacco smoking in persons with first episode psychosis (FEP) and there have been no estimates about the prevalence of nicotine vaping in FEP. This study reports rates of tobacco smoking and nicotine vaping in young people with FEP enrolled in Coordinated Specialty Care programs in Pennsylvania and Maryland. Using data collected from 2021 to 2023, we examined lifetime and recent smoking and vaping and compared smokers and vapers to nonusers on symptoms, functioning, and substance use. The sample included 445 participants aged 13-35 with recent psychosis onset. Assessments were collected by program staff. Overall, 28 % of participants engaged in either smoking or vaping within 30 days of the admission assessment. Smokers and vapers were disproportionately male, cannabis users, and had lower negative symptom severity than non-smokers. Vapers had higher role and social functioning. Both smoking and vaping were related to a longer time from psychosis onset to program enrollment. We compare these findings to previous studies and suggest steps for addressing smoking and vaping in this vulnerable population.

Health-care organization characteristics in cancer care delivery: an integrated conceptual framework with content validation.

Context can influence cancer-related outcomes. For example, health-care organization characteristics, including ownership, leadership, and culture, can affect care access, communication, and patient outcomes. Health-care organization characteristics and other contextual factors can also influence whether and how clinical discoveries reduce cancer incidence, morbidity, and mortality. Importantly, policy, market, and technology changes are transforming health-care organization design, culture, and operations across the cancer continuum. Consequently, research is essential to examine when, for whom, and how organizational characteristics influence person-level, organization-level, and population-level cancer outcomes. Understanding organizational characteristics-the structures, processes, and other features of entities involved in health care delivery-and their dynamics is an important yet understudied area of care delivery research across the cancer continuum. Research incorporating organizational characteristics is critical to address health inequities, test care delivery models, adapt interventions, and strengthen implementation. The field lacks conceptual grounding, however, to help researchers identify germane organizational characteristics. We propose a framework identifying organizational characteristics relevant for cancer care delivery research based on conceptual work in health services, organizational behavior, and management science and refined using a systematic review and key informant input. The proposed framework is a tool for organizing existing research and enhancing future cancer care delivery research. Following a 2012 Journal of the National Cancer Institute monograph, this work complements National Cancer Institute efforts to stimulate research addressing the relationship between cancer outcomes and contextual factors at the patient, provider, team, delivery organization, community, and health policy levels.

Centering Health Equity in the Implementation of the Hospital Incident Command System: A Qualitative Case Comparison Study.

OBJECTIVE: Disasters exacerbate inequities in health care. Health systems use the Hospital Incident Command System (HICS) to plan and coordinate their disaster response. This study examines how 2 health systems prioritized equity in implementing the Hospital Incident Command System (HICS) during the coronavirus disease 2019 (COVID-19) pandemic and identifies factors that influenced implementation. METHODS: This is a qualitative case comparison study, involving semi-structured interviews with 29 individuals from 2 US academic health systems. Strategies for promoting health equity were categorized by social determinants of health. The Consolidated Framework for Implementation Research (CFIR) guided analysis using a hybrid inductive-deductive approach. RESULTS: The health systems used various strategies to incorporate health equity throughout implementation, addressing all 5 social determinants of health domains. Facilitators included HICS principles, external partnerships, community relationships, senior leadership, health equity experts and networks, champions, equity-stratified data, teaming, and a culture of health equity. Barriers encompassed clarity of the equity representative role, role ambiguity for equity representatives, tokenism, competing priorities, insufficient resource allocation, and lack of preparedness. CONCLUSIONS: These findings elucidate how health systems centered equity during HICS implementation. Health systems and regulatory bodies can use these findings as a foundation to revise the HICS and move toward a more equitable disaster response.

Embedding Equity into the Hospital Incident Command System: A Narrative Review.

BACKGROUND: Disasters exacerbate health inequities, with historically marginalized populations experiencing unjust differences in health care access and outcomes. Health systems plan and respond to disasters using the Hospital Incident Command System (HICS), an organizational structure that centralizes communication and decision-making. The HICS does not have an equity role or considerations built into its standard structure. The authors conducted a narrative review to identify and summarize approaches to embedding equity into the HICS. METHODS: The peer-reviewed (PubMed, SCOPUS) and gray literature was searched for articles from high-income countries that referenced the HICS or Incident Command System (ICS) and equity, disparities, or populations that experience inequities in disasters. The primary focus of the search strategy was health care, but the research also included governmental and public health system articles. Two authors used inductive thematic analysis to assess commonalities and refined the themes based on feedback from all authors. RESULTS: The database search identified 479 unique abstracts; 76 articles underwent full-text review, and 11 were included in the final analysis. The authors found 5 articles through cited reference searching and 13 from the gray literature search, which included websites, organizations, and non-indexed journal articles. Three themes from the articles were identified: including equity specialists in the HICS, modifying systems to promote equity, and sensitivity to the local community. CONCLUSION: Several efforts to embed equity into the HICS and disaster preparedness and response were discovered. This review provides practical strategies health system leaders can include in their HICS and emergency preparedness plans to promote equity in their disaster response.

Improving Diabetes Screening in the Primary Care Clinic.

BACKGROUND: In our suburban primary care clinic, the average rate of screening for diabetes among eligible patients was only 51%, similar to national screening data. We conducted a quality improvement project to increase this rate. METHODS: During the 6-month preintervention phase, we collected baseline data on the percentage of eligible patients screened per week (percentage of patients with hemoglobin A1c checked in the prior 3 years out of patients eligible for screening who completed a visit during the week). We then implemented a two-phase intervention. In phase 1 (approximately 8 months), we generated an electronic health record (EHR) report to identify eligible patients and pended laboratory orders for physicians to sign. In phase 2 (approximately 3 months), we replaced the phase 1 intervention with an EHR clinical decision support tool that automatically identifies eligible patients. We compared screening rates in the preintervention vs. intervention period. For phase 1, we also assessed laboratory completion rates and the laboratory results. We surveyed physicians regarding intervention acceptability and satisfaction at 3, 6, 9, and 12 months during the intervention period. RESULTS: The weekly percentage of patients screened increased from an average of 51% in the preintervention phase to 65% in the intervention phase (p < 0.001). During phase 1, most patients underwent laboratory blood testing as recommended (83% within 3 months), and results were consistent with prediabetes in 23% and with diabetes in 4%. Overall, most physicians believed that the intervention appropriately identified patients due for screening and was helpful (100% of respondents agreed at 9 months vs. 71% at 3 months). CONCLUSION: We successfully implemented a systematic screening intervention involving a manual workflow and EHR tool and improved diabetes screening rates in our clinic.

Outpatient visits before and after Lyme disease diagnosis in a Maryland employer-based health plan.

BACKGROUND: Insurance claims data have been used to inform an understanding of Lyme disease epidemiology and cost of care, however few such studies have incorporated post-treatment symptoms following diagnosis. Using longitudinal data from a private, employer-based health plan in an endemic US state, we compared outpatient care utilization pre- and post-Lyme disease diagnosis. We hypothesized that utilization would be higher in the post-diagnosis period, and that temporal trends would differ by age and gender. METHODS: Members with Lyme disease were required to have both a corresponding ICD-9 code and a fill of an antibiotic indicated for treatment of the infection within 30 days of diagnosis. A 2-year 'pre- diagnosis' period and a 2-year 'post-diagnosis period' were centered around the diagnosis month. Lyme disease-relevant outpatient care visits were defined as specific primary care, specialty care, or urgent care visits. Descriptive statistics examined visits during these pre- and post-diagnosis periods, and the association between these periods and the number of visits was explored using generalized linear mixed effects models adjusting for age, season of the year, and gender. RESULTS: The rate of outpatient visits increased 26% from the pre to the post-Lyme disease diagnosis periods among our 317-member sample (rate ratio = 1.26 [1.18, 1.36], p < 0.001). Descriptively, care utilization increases appeared to persist across months in the post-diagnosis period. Women's care utilization increased by 36% (1.36 [1.24, 1.50], p < 0.001), a significantly higher increase than the 14% increase found among men (1.14 [1.02, 1.27], p = 0.017). This gender difference was mainly driven by adult members. We found a borderline significant 17% increase in visits for children < 18 years, (1.17 [0.99, 1.38], p = 0.068), and a 31% increase for adults ≥ 18 years (1.31 [1.21, 1.42], p < 0.001). CONCLUSIONS: Although modest at the population level, the statistically significant increases in post-Lyme diagnosis outpatient care we observed were persistent and unevenly distributed across demographic and place of service categories. As Lyme disease cases continue to grow, so will the cumulative prevalence of persistent symptoms after treatment. Therefore, it will be important to confirm these findings and understand their significance for care utilization and cost, particularly against the backdrop of other post-acute infectious syndromes.

Assessing Factors Influencing Commitment to a Disparities Reduction Intervention: Social Justice Attitudes and Organizational Mission.

ABSTRACT: This mixed-methods study aims to understand what the perceptions of leaders and healthcare professionals are regarding causes of disparities, cultural competence, and motivation before launching a disparity reduction project in hypertension care, contrasting perceptions in Federally Qualified Health Centers (FQHCs), and in a non-FQHC system. We interviewed leaders of six participating primary care systems and surveyed providers and staff. FQHC respondents reported more positive cultural competence attitudes and behavior, higher motivation to implement the project, and less concern about barriers to caring for disadvantaged patients than those in the non-FQHC practices; however, egalitarian beliefs were similar among all. Qualitative analysis suggested that the organizational missions of the FQHCs reflect their critical role in serving vulnerable populations. All system leaders were aware of the challenges of provider care to underserved groups, but comprehensive initiatives to address social determinants of health and improve cultural competence were still needed in both system types. The study provides insights into the perceptions and motivations of primary care organizational leaders and providers who are interested in improving chronic care. It also offers an example for care disparity programs to understand commitment and values of the participants for tailoring interventions and setting baseline for progress.

Development and Validation of the Hospital-to-Home-Health Transition Quality (H3TQ) Index: A Novel Measure to Engage Patients and Home Health Providers in Evaluating Hospital-to-Home Care Transition Quality.

BACKGROUND: Patients requiring skilled home health care (HH) after hospitalization are at high risk of adverse events. Human factors engineering (HFE) approaches can be useful for measure development to optimize hospital-to-home transitions. OBJECTIVE: To describe the development, initial psychometric validation, and feasibility of the Hospital-to-Home-Health-Transition Quality (H3TQ) Index to identify patient safety risks. METHODS: Development: A multisite, mixed-methods study at 5 HH agencies in rural and urban sites across the United States. Testing: Prospective H3TQ implementation on older adults' hospital-to-HH transitions. Populations Studied: Older adults and caregivers receiving HH services after hospital discharge, and their HH providers (nurses and rehabilitation therapists). RESULTS: The H3TQ is a 12-item count of hospital-to-HH transitions best practices for safety that we developed through more than 180 hours of observations and more than 80 hours of interviews. The H3TQ demonstrated feasibility of use, stability, construct validity, and concurrent validity when tested on 75 transitions. The vast majority (70%) of hospital-to-HH transitions had at least one safety issue, and HH providers identified more patient safety threats than did patients/caregivers. The most frequently identified issues were unsafe home environments (32%), medication issues (29%), incomplete information (27%), and patients' lack of general understanding of care plans (27%). CONCLUSIONS: The H3TQ is a novel measure to assess the quality of hospital-to-HH transitions and proactively identify transitions issues. Patients, caregivers, and HH providers offered valuable perspectives and should be included in safety reporting. Study findings can guide the design of interventions to optimize quality during the high-risk hospital-to-HH transition.

Implementing and validating a home-infusion central-line-associated bloodstream infection surveillance definition.

OBJECTIVE: Central-line-associated bloodstream infection (CLABSI) surveillance in home infusion therapy is necessary to track efforts to reduce infections, but a standardized, validated, and feasible definition is lacking. We tested the validity of a home-infusion CLABSI surveillance definition and the feasibility and acceptability of its implementation. DESIGN: Mixed-methods study including validation of CLABSI cases and semistructured interviews with staff applying these approaches. SETTING: This study was conducted in 5 large home-infusion agencies in a CLABSI prevention collaborative across 14 states and the District of Columbia. PARTICIPANTS: Staff performing home-infusion CLABSI surveillance. METHODS: From May 2021 to May 2022, agencies implemented a home-infusion CLABSI surveillance definition, using 3 approaches to secondary bloodstream infections (BSIs): National Healthcare Safety Program (NHSN) criteria, modified NHSN criteria (only applying the 4 most common NHSN-defined secondary BSIs), and all home-infusion-onset bacteremia (HiOB). Data on all positive blood cultures were sent to an infection preventionist for validation. Surveillance staff underwent semistructured interviews focused on their perceptions of the definition 1 and 3-4 months after implementation. RESULTS: Interrater reliability scores overall ranged from κ = 0.65 for the modified NHSN criteria to κ = 0.68 for the NHSN criteria to κ = 0.72 for the HiOB criteria. For the NHSN criteria, the agency-determined rate was 0.21 per 1,000 central-line (CL) days, and the validator-determined rate was 0.20 per 1,000 CL days. Overall, implementing a standardized definition was thought to be a positive change that would be generalizable and feasible though time-consuming and labor intensive. CONCLUSIONS: The home-infusion CLABSI surveillance definition was valid and feasible to implement.

Impact of certified infection preventionists in acute care settings: A systematic review.

BACKGROUND: Health care-associated infection (HAI) is a common adverse event affecting patient safety. This review aims to (1) establish evidence for the impact of certified infection prevention and control (CIC) specialists on infection prevention and patient safety in acute care settings and (2) summarize study design and statistical modeling used for impact assessment to inform future studies. METHODS: We searched and reviewed full-text, quantitative studies assessing the impact of CIC. The studies used empirical data published in English between January 2000 and April 2021 in PubMed, PsycINFO, and EMBASE. We identified 8 articles for data extraction and analysis. All eight studies used a cross-sectional design and had a quality rating of good to high based on the Johns Hopkins Nursing Evidence-Based Practice rating scales. RESULTS: CIC infection preventionists (IPs) may have a stronger understanding than other practitioners of the evidence for certain infection prevention practices and are more likely to recommend implementing them in the hospitals where they work, especially when the lead IP is certified. The association between CIC and HAI rates was inconsistent in our results. DISCUSSION AND CONCLUSIONS: Further studies are needed to explore the impact of CIC IPs on HAI rates.

Engaging Payors and Primary Care Physicians Together in Improving Diabetes Prevention.

BACKGROUND: Type 2 diabetes can be prevented through lifestyle programs like the Diabetes Prevention Programs (DPP), but few people with prediabetes participate in them, in part because their insurance does not reliably cover DPPs. Prior studies have not focused on payor-level barriers. OBJECTIVE: To understand barriers to DPP uptake that exist and intersect at different levels (patients, PCPs, and payors) to inform strategies to improve diabetes prevention in primary care settings through interviews with PCPs and payors. DESIGN: From May 2020 to October 2021, we conducted remote, semi-structured interviews with PCPs and payors. PARTICIPANTS: PCPs were from primary care practices affiliated with one mid-Atlantic academic system. Payor leaders were from regional commercial, Medicare, and Medicaid plans. APPROACH: Using a standardized interview guide focused on barriers, facilitators, and potential intervention components, interviews were audio-recorded using Zoom and professionally transcribed. Two reviewers double-coded transcripts using the framework analytic approach. KEY RESULTS: We interviewed 16 PCPs from 13 primary care clinics and 7 payor leaders representing 6 insurance plans. Two themes emerged from PCP reports of patient-level barriers: (1) lack of programs and insurance coverage of resources to address nutrition and exercise and (2) inadequate resources to address social determinants of health that impact diabetes prevention. Among barriers PCPs faced, we identified two themes: (1) low PCP knowledge about DPPs and misperceptions of insurance coverage of DPPs and (2) inadequate clinical staff to address diabetes prevention. Barriers common to PCPs and payors included (1) absence of prediabetes quality measures and (2) inadequate engagement of PCPs and patients with payors. CONCLUSIONS: Discussions with PCPs and payors revealed systemic barriers that suggest important priorities to improve prediabetes clinical care, including universal coverage of DPPs, clarity about coverage benefits, data reporting and outreach by payors to PCPs, and adoption of appropriate prediabetes quality measures.

Adverse Childhood Experiences, Depression, Patient Activation, and Medication Adherence Among Patients With Uncontrolled Hypertension.

BACKGROUND: Identifying potential pathways through which adverse childhood experiences (ACEs) impact health and health behavior remains important, given ACE survivors' increased risk for cardiovascular disease and poor cardiovascular health behaviors. This study examines whether modifiable variables-depression and patient activation-explain the relationship between ACEs and medication adherence. METHODS: Using baseline data from a pragmatic trial designed to decrease disparities in hypertension control, we conducted regression analyses to examine whether depression and patient activation mediated the association between ACEs and medication adherence. Data were collected between August 2017 and October 2019 (n = 1,818). RESULTS: Participants were predominantly female (59.4%) and Black or African American (57%) with uncontrolled blood pressure (mean-152.3/85.5 mm Hg). Most participants reported experiencing at least 1 ACE (71%) and approximately 50% reported being adherent to their blood pressure medication. A significant indirect effect between ACEs and medication adherence was found for depression symptoms (Sobel's test z = -5.46, P < 0.001). Patient activation was not a mediator in these relationships. CONCLUSIONS: Experiencing more depression symptoms significantly accounted for the association between ACEs and medication adherence in a diverse sample of adults with uncontrolled blood pressure. Addressing depression symptoms, which may result from experiences with ACEs and other current stressors, could translate to better medication adherence and, potentially, better blood pressure control among this high-risk group. Given the serious lifetime health implications of ACEs, continued efforts are needed for primary prevention of childhood adversities.

Impact of the patient-centered medical home on consistently high-cost patients.

OBJECTIVE: To evaluate the effect of a statewide multipayer patient-centered medical home (PCMH) demonstration on patients consistently within the highest ranks of health services expenditure across Maryland. STUDY DESIGN: Post hoc longitudinal analyses of administrative data on privately insured patients of medical homes that participated in the Maryland Multi-Payer PCMH Program (MMPP), matched for comparison to medical homes in a single-payer PCMH program and to non-PCMH practices. METHODS: Consistently high-cost patients (CHPs) were defined as being in the top statewide quintile of payer expenditure over a 2-year baseline period. Using population-averaged generalized linear regression models, we evaluated the odds of CHPs remaining in the highest-cost quintile during the 2-year MMPP implementation period and assessed changes in their utilization patterns. RESULTS: Six percent of included patients were CHPs and accounted for one-third of total expenditure. For CHPs in multipayer PCMHs, estimated odds of remaining in this status after 2 years were lower by 34% (adjusted OR [AOR], 0.66; 95% CI, 0.41-0.90; P = .03) relative to CHPs in non-PCMH practices and higher by 41% (AOR, 1.41; 95% CI, 1.08-1.75; P = .004) compared with CHPs in single-payer PCMHs. Relative to CHPs in non-PCMH practices, CHPs in multipayer PCMHs had inpatient admissions decline by 40% (incidence rate ratio [IRR], 0.60; 95% CI, 0.36-1.00; P = .049) and visits to the attributed primary care provider increase by 21% (IRR, 1.21; 95% CI, 1.05-1.39; P = .01). CONCLUSIONS: Relative to routine primary care, the PCMH model significantly reduces the probability that CHPs remain in this expensive category and enhances continuity of care.