Differences by Race in Outcomes of an In-Person Training Intervention on Use of an Inpatient Portal: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Differences in patient use of health information technologies by race can adversely impact equitable access to health care services. While this digital divide is well documented, there is limited evidence of how health care systems have used interventions to narrow the gap. Objective: To compare differences in the effectiveness of patient training and portal functionality interventions implemented to increase portal use among racial groups. Design, Setting, and Participants: This secondary analysis used data from a randomized clinical trial conducted from December 15, 2016, to August 31, 2019. Data were from a single health care system and included 6 noncancer hospitals. Participants were patients who were at least 18 years of age, identified English as their preferred language, were not involuntarily confined or detained, and agreed to be provided a tablet to access the inpatient portal during their stay. Data were analyzed from September 1, 2022, to October 31, 2023. Interventions: A 2 × 2 factorial design was used to compare the inpatient portal training intervention (touch, in-person [high] vs built-in video tutorial [low]) and the portal functionality intervention (technology, full functionality [full] vs a limited subset of functions [lite]). Main Outcomes and Measures: Primary outcomes were inpatient portal use, measured by frequency and comprehensiveness of use, and use of specific portal functions. A logistic regression model was used to test the association of the estimators with the comprehensiveness use measure. Outcomes are reported as incidence rate ratios (IRRs) for the frequency outcomes or odds ratios (ORs) for the comprehensiveness outcomes with corresponding 95% CIs. Results: Of 2892 participants, 550 (19.0%) were Black individuals, 2221 (76.8%) were White individuals, and 121 (4.2%) were categorized as other race (including African, American Indian or Alaska Native, Asian or Asian American, multiple races or ethnicities, and unknown race or ethnicity). Black participants had a significantly lower frequency (IRR, 0.80 [95% CI, 0.72-0.89]) of inpatient portal use compared with White participants. Interaction effects were not observed between technology, touch, and race. Among participants who received the full technology intervention, Black participants had lower odds of being comprehensive users (OR, 0.76 [95% CI, 0.62-0.91), but interaction effects were not observed between touch and race. Conclusions and Relevance: In this study, providing in-person training or robust portal functionality did not narrow the divide between Black participants and White participants with respect to their inpatient portal use. Health systems looking to narrow the digital divide may need to consider intentional interventions that address underlying issues contributing to this inequity. Trial Registration: ClinicalTrials.gov Identifier: NCT02943109.

Development of a conceptual model of the capacity for patients to engage in their health care: a group concept mapping study.

BACKGROUND: Patient engagement is seen as a necessary component in achieving the triple aim of improved population health, improved experience of care, and lower per capita health care costs. While there has been a substantial increase in the number of tools and patient-centered initiatives designed to help patients participate in health decisions, there remains a limited understanding of engagement from the perspective of patients and a lack of measures designed to capture the multi-faceted nature of the concept. METHODS: Development of a concept map of patient engagement followed a five-step modified Group Concept Mapping (GCM) methodology of preparation, generation, structuring, analysis and interpretation. We engaged a Project Advisory Committee at each step, along with three rounds of survey collection from clinicians and patients for element generation (272 clinicians, 61 patients), statement sorting (30 clinicians, 15 patients), and ranking and rating of statements (159 clinicians, 67 patients). The survey of three separate samples, as opposed to focus groups of 'experts,' was an intentional decision to gain a broad perspective about the concept of patient engagement. We conducted the structure and analysis steps within the groupwisdom concept mapping software. RESULTS: The final concept map comprised 47 elements organized into 5 clusters: Relationship with Provider, Patient Attitudes and Behaviors, Access, Internal Resources and External Resources. There was considerable agreement in the way elements in each cluster were rated by patients and clinicians. An analysis of the importance of the constitutive elements of patient engagement relative to their addressability highlighted actionable items in the domain of Relationship with Provider, aimed at building trust and enabling patients to ask questions. At the same time, the analysis also identified elements traditionally considered barriers to engagement, like personal access to the internet and the patient's level of digital literacy, as difficult to address by the healthcare system, but also relatively less important for patients. CONCLUSIONS: Through our GCM approach, incorporating perspectives of both patients and clinicians, we identified items that can be used to assess patient engagement efforts by healthcare systems. As a result, our study offers specific insight into areas that can be targeted for intervention by healthcare systems to improve patient engagement.

Rationale and design of the linking education, produce provision, and community referrals to improve diabetes care (LINK) study.

BACKGROUND: Individuals with type 2 diabetes (T2D) experiencing food insecurity may have other non-medical, health-related social needs (e.g., transportation, housing instability) that decrease their ability to attain T2D control and impact other health outcomes. METHODS: A pragmatic randomized controlled trial (pRCT) to test the effect of produce provision, diabetes and culinary skills training and education, and social needs screening, navigation, and resolution, on hemoglobin A1c (A1c) levels in individuals with T2D (A1c ≥7.5%) experiencing food insecurity; a cost-effectiveness evaluation of the interventions that comprise the pRCT; and a process evaluation to understand the contextual factors that impact the uptake, effectiveness, and sustainability of the interventions. SETTING: Ambulatory care clinics (e.g., family medicine, general internal medicine, endocrinology) affiliated with an academic medical center in an urban environment in the Midwest. DESIGN: 2 × 2 factorial design. INTERVENTIONS: Cooking Matters for Diabetes is a 6-week diabetes and culinary education intervention. The Health Impact Ohio Central Ohio Pathways Hub intervention is a community health worker model designed to evaluate and address participants' social needs. All participants will receive referral to the Mid-Ohio Farmacy to provide weekly access to fresh produce. OUTCOMES: Primary outcome of the pRCT is change in A1c at 3 months; secondary outcomes include A1c at 6 months, and diabetes self-efficacy, food insecurity, and diet quality at 3 and 6 months. DISCUSSION: Food insecurity, unmet social needs, diabetes education and self-efficacy are critical issues that must be addressed to improve T2D treatment, care, and health equity. CLINICALTRIALS: gov: NCT05472441.

A qualitative study of the dark and bright sides of physicians' electronic health record work outside work hours.

BACKGROUND: The introduction of electronic health records (EHRs) has contributed considerably to EHR work outside work (WOW) hours for physicians. Prior research has identified the pressures associated with stress resulting from EHR WOW, yet developing a nuanced understanding of how physicians appraise and respond to this stress, and the resulting impacts, remains absent from the literature. PURPOSE: Grounded in the technostress model, this study takes a qualitative approach to explore both the pressures and opportunities associated with EHR WOW. METHODS: Thematic analysis of data from semistructured interviews was utilized to examine the pressures and opportunities associated with EHR WOW among primary care pediatricians (n = 15) affiliated with a large Midwestern pediatric health system. RESULTS: The physicians in this study regularly spent time working in the EHR outside work hours. They felt the EHR contributed to their documentation burden, which ultimately increased their EHR WOW, and reported a sense of burden from ubiquitous EHR availability. Conversely, they appreciated the flexibility the EHR provided in terms of work-life balance. Suggestions for improvement under the direct purview of practice management included enhanced EHR usability, improvements in workflow during work hours to free up time to document, and more training on both EHR documentation strategies and ongoing software upgrades. CONCLUSION: Physicians perceive that the EHR exerts certain pressures while affording new opportunities and conveniences. This study provides evidence of both the pressures and opportunities of EHR WOW and their effect on physician well-being. PRACTICE IMPLICATIONS: Specific opportunities are identified for health administrators to enable physicians to better manage EHR WOW.

Were hospitals with sustained high performance more successful at reducing mortality during the pandemic's second wave?

BACKGROUND: In 2019, the COVID-19 pandemic emerged. Variation in COVID-19 patient outcomes between hospitals was later reported. PURPOSE: This study aims to determine whether sustainers-hospitals with sustained high performance on Hospital Value-Based Purchasing Total Performance Score (HVBP-TPS)-more effectively responded to the pandemic and therefore had better patient outcomes. METHODOLOGY: We calculated hospital-specific risk-standardized event rates using deidentified patient-level data from the UnitedHealth Group Clinical Discovery Database. HVBP-TPS from 2016 to 2019 were obtained from Centers for Medicare & Medicaid Services. Hospital characteristics were obtained from the American Hospital Association Annual Survey Database (2019), and county-level predictors were obtained from the Area Health Resource File. We use a repeated-measures regression model assuming an AR(1) type correlation structure to test whether sustainers had lower mortality rates than nonsustainers during the first wave (spring 2020) and the second wave (October to December 2020) of the pandemic. RESULTS: Sustainers did not have significantly lower COVID-19 mortality rates during the first wave of the pandemic, but they had lower COVID-19 mortality rates during the second wave compared to nonsustainers. Larger hospitals, teaching hospitals, and hospitals with higher occupancy rates had higher mortality rates. CONCLUSION: During the first wave of the pandemic, mortality rates did not differ between sustainers and nonsustainers. However, sustainers had lower mortality rates than nonsustainers in the second wave, most likely because of their knowledge management capabilities and existing structures and resources that enable them to develop new processes and routines to care for patients in times of crisis. Therefore, a consistently high level of performance over the years on HVBP-TPS is associated with high levels of performance on COVID-19 patient outcomes. PRACTICE IMPLICATIONS: Investing in identifying the knowledge, processes, and resources that foster the dynamic capabilities needed to achieve superior performance in HVBP might enable hospitals to utilize these capabilities to adapt more effectively to future changes and uncertainty.

Promoting the Success and Sustainability of Coordinated Specialty Care Teams in Ohio.

Recent COVID-19-related federal legislation has resulted in time-limited increases in Mental Health Block Grant (MHBG) set-aside dollars for coordinated specialty care (CSC) throughout the United States. The state of Ohio has opted to apply these funds to establish a learning health network of Ohio CSC teams, promote efforts to expand access to CSC, and quantify the operating costs and rates of reimbursement from private and public payers for these CSC teams. These efforts may provide other states with a model through which they can apply increased MHBG funds to support the success of their own CSC programs.

Health system chief diversity officers: who are they and what do they do?

The Chief Diversity Officer, or CDO, is an increasingly common leadership role within U.S. health care delivery systems. Very little is known about the CDO role across hospitals and health systems. To map the responsibilities and characteristics of how CDOs are positioned within health care, we first searched the web pages of health systems to identify which systems have CDOs, or what we call "CDO-equivalents." Second, we expanded the search of public documents to new-hire announcements and the online social/professional media site, LinkedIn, to identify information regarding each identified leader's roles and responsibilities. Finally, text from these documents describing the leader's roles was uploaded to Atlas.ti, a qualitative analytic software, to identify common themes. There were 60 diversity leaders among 359 U.S. health care systems. Seven consistent roles and responsibilities were identified reflecting a very broad scope of work. Future research should focus on exploring the scope of this leadership role.

The role of health care organizations in patient engagement: Mechanisms to support a strong relationship between patients and clinicians.

BACKGROUND: Patient engagement (PE) is critical to improving patient experience and outcomes, as well as clinician work life and lowering health care costs, yet health care organizations (HCOs) have limited guidance about how to support PE. The engagement capacity framework considers the context of engagement and examines precursors to engagement, including patients' self-efficacy, resources, willingness, and capabilities. PURPOSE: The aim of this study was to explore clinician and patient perspectives related to mechanisms through with the HCOs can facilitate PE through the lens of the engagement capacity framework. METHODOLOGY/APPROACH: We administered an online open-ended survey to clinicians and patient advisors across the United States, including questions focused on the influences of, barriers to, and skills and tools required for PE. A common theme emerged focusing on the role of HCOs in facilitating engagement. Our analysis examined all responses tagged with the "health care system" code. RESULTS: Over 750 clinicians and patient advisors responded to our survey. Respondents identified offering advice and support for patients to manage their care (self-efficacy), providing tools to facilitate communication (resources), working to encourage connection with patients (willingness), and training for HCO employees in cultural competency and communication skills (capabilities) as important functions of HCOs related to engagement. CONCLUSION: HCOs play an important role in supporting a strong partnership between the patient and clinicians. Our study identifies important mechanisms through which HCOs can fulfill this role. PRACTICE IMPLICATIONS: HCO leadership and administration can help establish the culture of care provided. Policies and initiatives that provide appropriate communication tools and promote culturally competent care can increase engagement.

Addressing Equity and Social Needs: The New Frontier of Patient Engagement Research.

Patient engagement has been a focus of patient-centered care in recent years, encouraging health care organizations to increase efforts to facilitate a patient's ability to participate in health care. At the same time, a growing body of research has examined the impact that social determinants of health (SDOH) have on patient health outcomes. Additionally, health care equity is increasingly becoming a focus of many organizations as they work to ensure that all patients receive equitable care. These three domains - patient engagement, SDOH, and health care equity - can intersect in the implementation of social needs screenings among health care organizations. We present a case study on a two-phase social needs screening implementation project and describe how this process focuses on equity. As health care organizations seek to increase patient engagement, address SDOH, and improve health equity, we highlight the need to move away from a siloed approach and view these efforts as interrelated. By approaching efforts to address these challenges and barriers as the duty of all those involved in the patient care process, there may be larger strides made toward equitable health care.

Multi-stakeholder perspectives on the implementation of a clinic-based food referral program for patients with chronic conditions: a qualitative examination.

Clinic-based food referral programs (FRPs) may help alleviate food insecurity and improve access to nutritious foods by systematically identifying and referring food-insecure primary care patients to community-based food resources. The purpose of this study was to examine the barriers to and facilitators of implementation of an FRP offered to primary care patients who screen positive for food insecurity and have a qualifying chronic condition. we used a multi-stakeholder approach to conduct semi-structured interviews with healthcare providers and administrators from an academic medical center (AMC) (n = 20), representatives of a regional foodbank and its affiliated pantries (n = 11), and patients referred to the FRP (n = 20), during the initial phase of FRP implementation from April to September 2020. Interviews were audio-recorded, transcribed verbatim, and coded using a deductive dominant approach that allowed for the identification of emergent themes. Seven major themes emerged across the two domains of analysis: barriers to and facilitators of FRP implementation. Key barriers were (a) provider time constraints and competing demands; (b) inadequate physician feedback regarding patient use of the program; (c) patient transportation barriers; and (d) stigma associated with food pantry use. Key facilitators of implementation included (a) program champions; (b) screening and referral coordination; and (c) addressing food pantry-related stigma. This study identifies factors that deter and facilitate the implementation of an AMC-based FRP. Our findings highlight opportunities for healthcare and community-based organizations to refine and optimize FRP models toward the ultimate aim of advancing health equity for food-insecure patients.

Food insecurity can make the self-management of diet-related chronic conditions (e.g., diabetes, hypertension, and obesity) difficult. Clinic-based food referral programs (FRPs) can help address the diet-related needs of food-insecure primary care patients by improving access to nutritious foods. However, the factors contributing to successful FRP implementation in primary care settings are underexplored. The focus of this study was to explore the barriers to and facilitators of implementation of an FRP offered to food-insecure primary care patients with chronic conditions seen at an academic medical center using a multi-stakeholder approach. Competing clinical and patient demands, patient transportation barriers, and food pantry-related stigma were salient factors that prevented healthcare providers and patients from engaging fully with the FRP. Inadequate provider feedback about patients' use of the FRP was also cited as a deterrent to greater provider engagement with the FRP. Critical facilitators of implementation included support and encouragement from program champions and having a coordinated referral process. The intentional branding and presentation of the FRP to eligible patients may have helped encourage its use by destigmatizing the food pantry setting. The impact of optimizing FRP implementation on patient use and program effectiveness warrants further research.

Effect of In-Person vs Video Training and Access to All Functions vs a Limited Subset of Functions on Portal Use Among Inpatients: A Randomized Clinical Trial.

Importance: Inpatient portals provide patients with clinical data and information about their care and have the potential to influence patient engagement and experience. Although significant resources have been devoted to implementing these portals, evaluation of their effects has been limited. Objective: To assess the effects of patient training and portal functionality on use of an inpatient portal and on patient satisfaction and involvement with care. Design, Setting, and Participants: This randomized clinical trial was conducted from December 15, 2016, to August 31, 2019, at 6 noncancer hospitals that were part of a single health care system. Patients who were at least 18 years of age, identified English as their preferred language, were not involuntarily confined or detained, and agreed to be provided a tablet to access the inpatient portal during their stay were eligible for participation. Data were analyzed from May 1, 2019, to March 15, 2021. Interventions: A 2 × 2 factorial intervention design was used to compare 2 levels of a training intervention (touch intervention, consisting of in-person training vs built-in video tutorial) and 2 levels of portal function availability (tech intervention) within an inpatient portal (all functions operational vs a limited subset of functions). Main Outcomes and Measures: The primary outcomes were inpatient portal use, measured by frequency and comprehensiveness of use, and patients' satisfaction and involvement with their care. Results: Of 2892 participants, 1641 were women (56.7%) with a median age of 47.0 (95% CI, 46.0-48.0) years. Most patients were White (2221 [76.8%]). The median Charlson Comorbidity Index was 1 (95% CI, 1-1) and the median length of stay was 6 (95% CI, 6-7) days. Notably, the in-person training intervention was found to significantly increase inpatient portal use (incidence rate ratio, 1.34 [95% CI, 1.25-1.44]) compared with the video tutorial. Patients who received in-person training had significantly higher odds of being comprehensive portal users than those who received the video tutorial (odds ratio, 20.75 [95% CI, 16.49-26.10]). Among patients who received the full-tech intervention, those who also received the in-person intervention used the portal more frequently (incidence rate ratio, 1.36 [95% CI, 1.25-1.48]) and more comprehensively (odds ratio, 22.52; [95% CI, 17.13-29.62]) than those who received the video tutorial. Patients who received in-person training had higher odds (OR, 2.01 [95% CI, 1.16-3.50]) of reporting being satisfied in the 6-month postdischarge survey. Similarly, patients who received the full-tech intervention had higher odds (OR, 2.06 [95%CI, 1.42-2.99]) of reporting being satisfied in the 6-month postdischarge survey. Conclusions and Relevance: Providing in-person training or robust portal functionality increased inpatient engagement with the portal during the hospital stay. The effects of the training intervention suggest that providing personalized training to support use of this health information technology can be a powerful approach to increase patient engagement via portals. Trial Registration: ClinicalTrials.gov Identifier: NCT02943109.

A framework of the institutional policies and practice environments of nurse practitioner primary care models: A cross-case analysis.

PURPOSE: The purpose of this article was to compare the implementation of distinct models of nurse practitioner (NP) integration into primary care offices. DESIGN/METHODOLOGY: A multiple case study design of three NP primary care practice models allowed for in-depth exploration of the management processes supporting the utilization of NPs. At each site, semistructured qualitative interviews, document review, and site tours/observations were conducted and subject to cross-case analysis guided by the NP Primary Care Organizational Framework (NP-PCOF)-developed for this study based on existing theory. RESULTS: Our case study sites represent three distinct NP primary care models. In the restricted practice model, NPs care for same-day/walk-in acute patients. NPs in the independent practice model have an independent panel of patients and interact collegially as independent coworkers. NPs in the comanagement model function on a team (a physician and two NPs), have a team office space, collectively care for a shared panel of patients, and can earn financial bonuses contingent upon meeting team quality metrics. Our cross-case analysis confirmed differences in physical space design, the relational structure of a workplace, and the capacity for innovation via NP compensation and performance metrics across different NP primary care models. CONCLUSION: Our findings suggest that NP primary care models are supported by complex management systems and the NP-PCOF is a tool to help understand this complexity. IMPLICATIONS: The NP-PCOF is a framework to understand the management systems that facilitate the utilization of NPs within primary care organizations.

Characterization of Electronic Health Record Use Outside Scheduled Clinic Hours Among Primary Care Pediatricians: Retrospective Descriptive Task Analysis of Electronic Health Record Access Log Data.

BACKGROUND: Many of the benefits of electronic health records (EHRs) have not been achieved at expected levels because of a variety of unintended negative consequences such as documentation burden. Previous studies have characterized EHR use during and outside work hours, with many reporting that physicians spend considerable time on documentation-related tasks. These studies characterized EHR use during and outside work hours using clock time versus actual physician clinic schedules to define the outside work time. OBJECTIVE: This study aimed to characterize EHR work outside scheduled clinic hours among primary care pediatricians using a retrospective descriptive task analysis of EHR access log data and actual physician clinic schedules to define work time. METHODS: We conducted a retrospective, exploratory, descriptive task analysis of EHR access log data from primary care pediatricians in September 2019 at a large Midwestern pediatric health center to quantify and identify actions completed outside scheduled clinic hours. Mixed-effects statistical modeling was used to investigate the effects of age, sex, clinical full-time equivalent status, and EHR work during scheduled clinic hours on the use of EHRs outside scheduled clinic hours. RESULTS: Primary care pediatricians (n=56) in this study generated 1,523,872 access log data points (across 1069 physician workdays) and spent an average of 4.4 (SD 2.0) hours and 0.8 (SD 0.8) hours per physician per workday engaged in EHRs during and outside scheduled clinic hours, respectively. Approximately three-quarters of the time working in EHR during or outside scheduled clinic hours was spent reviewing data and reports. Mixed-effects regression revealed no associations of age, sex, or clinical full-time equivalent status with EHR use during or outside scheduled clinic hours. CONCLUSIONS: For every hour primary care pediatricians spent engaged with the EHR during scheduled clinic hours, they spent approximately 10 minutes interacting with the EHR outside scheduled clinic hours. Most of their time (during and outside scheduled clinic hours) was spent reviewing data, records, and other information in EHR.

Approaches for overcoming barriers to cross-sector data sharing.

OBJECTIVES: To characterize factors influencing the development and sustainability of data sharing in the Mid-Ohio Farmacy (MOF), a produce referral program implemented in partnership between a community-based organization (the Mid-Ohio Food Collective ["Food Collective"]) and an academic medical center (The Ohio State University Wexner Medical Center [OSUWMC]). STUDY DESIGN: We used an in-depth case study approach to identify challenges that arose during implementation of the MOF and related solutions via semistructured interviews with representatives of both organizations (May-September 2020). METHODS: Key informants from OSUWMC (n = 20) and the Food Collective (n = 11) were identified using a combination of purposive and convenience sampling; they included administrators, project champions, clinical providers, and food pantry representatives. Interview transcripts were coded using a deductive dominant approach guided by a logic model aimed at determining the resources and activities relevant to the development of the partnership. RESULTS: Challenges of cross-sector data sharing fit into 3 themes: data sharing regulations, data exchange capabilities, and cross-sector data integration. Overcoming these challenges required creative workarounds-for example, linking patients across organizations was done via establishment of a unique, partnership-specific patient identifier, which was incorporated into the health system's electronic health record for continuity. CONCLUSIONS: Our findings suggest that current regulatory frameworks are misspecified to the growing interest in cross-sector partnerships between health care and community-based organizations. Future efforts to support these relationships should consider clarifying rules around data sharing and increasing Medicaid support for nonmedical, health-related social needs.

Patient and physician perspectives on training to improve communication through secure messaging: Clarifying the rules of engagement.

PURPOSE: The aim of the study was to incorporate the perspectives of both patients and providers into the development of training to improve the exchange of secure messages through a patient portal as well as to identify management strategies that support patient engagement. METHODOLOGY: Three patient focus groups (17 patients) and interviews with 21 ambulatory physicians across 17 outpatient clinics at a large Midwestern academic medical center using Epic MyChart were performed. Rigorous thematic analysis was guided by the Systems Engineering Initiative for Patient Safety 2.0 framework adapted to patient portal implementation. RESULTS: Patients and physicians identified strategies at the patient, portal, physician, and health system levels that could help each group navigate the portal to communicate via secure messages more efficiently. Patient-focused training strategies included multimodal materials addressing how to navigate portal features and direction on when, what, and how to message. Changes to the format of the messaging feature and pop-ups with communication tips were also frequently mentioned. Physician and clinic-level strategies focused on how the clinic and health system management could enhance physician training on the patient-facing portal features and on how to manage patient care within the portal. Physicians also requested that the health system administration standardize physician and care team work processes related to secure messages within the portal and communicate clear management expectations of physician portal management. CONCLUSION: As communication via secure messaging has become more common, our study identified patient, physician, portal and health system-level management and training strategies to enhance patient portal use. PRACTICE IMPLICATIONS: Health system administrators and outpatient clinic management could implement these strategies to clarify the rules of engagement in the collaborative work of incorporating a patient portal into the primary care workflow and facilitating provider and patient use.

Initiation of medication for opioid use disorder across a health system: A retrospective analysis of patient characteristics and inpatient outcomes.

Objectives: Medication for opioid use disorder (MOUD) has gained significant momentum as an evidence-based intervention for treating opioid use disorder (OUD). The purpose of this study was to characterize MOUD initiations for buprenorphine and extended release (ER) naltrexone across all care sites at a major health system in the Midwest and determine whether MOUD initiation was associated with inpatient outcomes. Methods: The study population comprised patients with OUD in the health system between 2018 and 2021. First, we described characteristics of all MOUD initiations for the study population within the health system. Second, we compared inpatient length of stay (LOS) and unplanned readmission rates between patients prescribed MOUD and patients not prescribed MOUD, including a pre-post comparison of patients prescribed MOUD before versus after initiation. Results: The 3,831 patients receiving MOUD were mostly white, non-Hispanic and generally received buprenorphine over ER naltrexone. 65.5% of most recent initiations occurred in an inpatient setting. Compared to those not prescribed MOUD, inpatient encounters where patients received MOUD on or before the admission date were significantly less likely to be unplanned readmissions (13% vs. 20%, p < 0.001) and their LOS was 0.14 days shorter (p = 0.278). Among patients prescribed MOUD, there was a significant reduction in the readmission rate after initiation compared to before (13% vs. 22%, p < 0.001). Conclusions: This study is the first to examine MOUD initiations for thousands of patients across multiple care sites in a health system, finding that receiving MOUD is associated with clinically meaningful reductions in readmission rates.

Utilization Patterns of a Food Referral Program: Findings from the Mid-Ohio Farmacy.

INTRODUCTION: There is limited evidence describing utilization of clinic-based food referral programs intended to support healthy eating for food-insecure patients. To address this gap, this study aims to describe the utilization of the Mid-Ohio Farmacy (MOF). MOF is a partnership between a regional foodbank and local health care providers, including an academic medical center (AMC), that enables referrals of patients that experience food insecurity to a network of participating food pantries. METHODS: This observational study uses data from 2 AMC family medicine clinics that offered the MOF referral from September 2019 to November 2020. Patients who screened positive for food insecurity and had an eligible chronic disease (eg, diabetes, hypertension, obesity) were referred to the MOF. We compared demographic and clinical characteristics of patients that filled their referral (ie, visitors) to those that did not (ie, non-visitors). Among visitors, we also assessed patterns of pantry utilization. RESULTS: In total, 51% (164 of 322) of patients referred to the MOF visited a food pantry at least once. Visitors were more likely to be older, have diabetes, and have visited a food pantry before their referral. Patients with uncontrolled hypertension were less likely to visit a food pantry following their referral. Patients that had visited a food pantry before their referral had more visits in total and more produce-specific visits following their referral. CONCLUSIONS: Our results suggest that while the MOF can connect patients to food resources, further attention may be needed to encourage its use among patients who have not previously accessed pantries.

Defining safety net hospitals in the health services research literature: a systematic review and critical appraisal.

BACKGROUND: The aim of this study was to identify the range of ways that safety net hospitals (SNHs) have been empirically operationalized in the literature and determine the extent to which patterns could be identified in the use of empirical definitions of SNHs. METHODS: We conducted a PRISMA guided systematic review of studies published between 2009 and 2018 and analyzed 22 articles that met the inclusion criteria of hospital-level analyses with a clear SNH definition. RESULTS: Eleven unique SNH definitions were identified, and there were no obvious patterns in the use of a definition category (Medicaid caseload, DSH payment status, uncompensated care, facility characteristics, patient care mix) by the journal type where the article appeared, dataset used, or the year of publication. CONCLUSIONS: Overall, there is broad variability in the conceptualization of, and variables used to define, SNHs. Our work advances the field toward the development of standards in measuring, operationalizing, and conceptualizing SNHs across research and policy questions.

Sustainers: Hospitals with sustained superior performance.

PURPOSE: The purpose of this article was to investigate the organizational and market-level variables associated with sustained superior hospital performance on Value-Based Purchasing total performance scores (TPS). METHODOLOGY: TPS for 2014 through 2017 was obtained from the Centers for Medicare & Medicaid Services Hospital Compare website. Market-level data were from the 2017 Area Health Resource File, and hospital-level data were from the 2014 American Hospital Association Annual Survey database. We specified a logistic regression model to identify significant predictors of hospitals with sustained superior performance on TPS, that is, "sustainers." PRINCIPAL FINDINGS: Only 8.4% of hospitals were classified as sustainers. Hospitals located in rural markets with a high Medicare Advantage penetration had a higher likelihood of being classified as sustainers. High RN staffing levels, lower Medicare share of inpatient days, not-for-profit ownership, and small size were all significant organizational predictors of sustained superior performance. CONCLUSIONS: Both modifiable characteristics, such as nurse staffing levels, and nonmodifiable characteristics, such as rural markets and small hospital size, are associated with the likelihood of hospitals sustaining superior performance over time. PRACTICE IMPLICATIONS: Managers need to carefully examine their staffing levels as they pursue interventions to sustain high TPS overtime. Moreover, factors such as Medicare share of inpatient days and size need to be considered when understanding barriers to sustained performance on Value-Based Purchasing domains.