Patient-Portal Compared with Supplemental In-Office Tablet Screening for Health-Related Social Needs in Primary Care.

BACKGROUND: Screening for health-related social needs (HRSN) has become more widespread but the best method of delivering the screening tool is not yet known. OBJECTIVE: Describe HRSN screening completion rate, specifically portal-based and in-person tablet-based screening. DESIGN: Cross-sectional retrospective observational study. PARTICIPANTS: Adults age 18 or older who had a non-acute primary care visit at one of three internal medicine primary care clinics at a large, urban, academic medical center between July 2022 and July 2023. MAIN MEASURES: We identified the proportion of individuals who were screened using the HRSN questionnaire, whether screening was completed by patient-portal or tablet, as well as the degree of burden of HRSN. Using the electronic health record, we explored associations between sociodemographic characteristics and HRSN attributes. KEY RESULTS: Our study included 24,597 patients, of whom 37% completed the HRSN questionnaire. A smaller proportion of Black/African American patients and those with Medicaid insurance completed the questionnaire, yet they comprised a greater percentage of those who screened positive for unmet HRSN (p ≤ 0.001). Most patients completed the questionnaire by patient-portal (86.1%) compared with in-office tablets (14.0%). A larger proportion of those who completed screening by tablet screened positive for HRSN. Of all patients screened, 21.8% were positive for an unmet HRSN and 11.5% had more than one unmet HRSN. CONCLUSIONS: A majority of patients are not being screened for HRSN and results illustrate disparities when screening patients for HRSN through portal-based compared with supplemental in-office tablet-based screening. Prevalence of unmet HRSN varied by demographics such as race and insurance status.

Automated Text Message-Based Program and Use of Acute Health Care Resources After Hospital Discharge: A Randomized Clinical Trial.

Importance: Postdischarge outreach from the primary care practice is an important component of transitional care support. The most common method of contact is via telephone call, but calls are labor intensive and therefore limited in scope. Objective: To test whether a 30-day automated texting program to support primary care patients after hospital discharge reduces acute care revisits. Design, Setting, and Participants: A 2-arm randomized clinical trial was conducted from March 29, 2022, through January 5, 2023, at 30 primary care practices within a single academic health system in Philadelphia, Pennsylvania. Patients were followed up for 60 days after discharge. Investigators were blinded to assignment, but patients and practice staff were not. Participants included established patients of the study practices who were aged 18 years or older, discharged from an acute care hospitalization, and considered medium to high risk for adverse health events by a health system risk score. All analyses were conducted using an intention-to-treat approach. Intervention: Patients in the intervention group received automated check-in text messages from their primary care practice on a tapering schedule for 30 days following discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Patients in the control group received a standard transitional care management telephone call from their practice within 2 business days of discharge. Main Outcomes and Measures: The primary study outcome was any acute care revisit (readmission or emergency department visit) within 30 days of discharge. Results: Of the 4736 participants, 2824 (59.6%) were female; the mean (SD) age was 65.4 (16.5) years. The mean (SD) length of index hospital stay was 5.5 (7.9) days. A total of 2352 patients were randomized to the intervention arm and 2384 were randomized to the control arm. There were 557 (23.4%) acute care revisits in the control group and 561 (23.9%) in the intervention group within 30 days of discharge (risk ratio, 1.02; 95% CI, 0.92-1.13). Among the patients in the intervention arm, 79.5% answered at least 1 message and 41.9% had at least 1 need identified. Conclusions and Relevance: In this randomized clinical trial of a 30-day postdischarge automated texting program, there was no significant reduction in acute care revisits. Trial Registration: ClinicalTrials.gov Identifier: NCT05245773.

Health Care Use Among Patients Retroactively Insured via a Hospital-Based Insurance Linkage Program.

OBJECTIVE: Over 25% of the 27 million uninsured individuals in the United States are eligible for Medicaid. Many hospitals have insurance linkage programs that assist eligible patients with enrollment, but little is known about the impact of these programs on care utilization. This research assessed health care utilization and health outcomes among patients enrolled in Medicaid via a hospital-based insurance linkage program. METHODS: This retrospective cohort study included adults aged 18-64 admitted to the hospital from 2016 to 2021. Those who obtained insurance retroactively via insurance linkage (RI) were compared with those who presented with Medicaid (MI) or remained uninsured (UI). The primary outcome was the presence of at least one visit with a primary care provider (PCP) in the 12 months following index admission. Secondary outcomes included having an assigned PCP, ED revisits, and hospital readmissions. For patients with diabetes and hypertension, 12-month hemoglobin A1c (HbA1c) and blood pressure (BP) readings were tracked. RESULTS: Of 3882 patients admitted with no insurance, 2905 (74.8%) were enrolled in insurance (RI). In multivariable analysis, RI patients were 14% more likely (OR 1.14, p = 0.020) to have completed at least one PCP visit by 12 months after index admission compared to those with preexisting Medicaid (MI), and uninsured patients were 29% less likely (OR 0.71, p = 0.003). MI and RI patients also had more ED revisits (p < 0.001) and greater 12-month reductions in blood pressure (p < 0.001) compared with uninsured patients. CONCLUSION: Hospital-based insurance linkage reached three-quarters of uninsured patients and was associated with increased utilization of acute and outpatient health care services. An acute care encounter represents an opportunity to connect patients to insurance, a key step toward improving their health outcomes.

Patient and clinician perspectives of a remote monitoring program for COVID-19 and lessons for future programs.

COVID Watch is a remote patient monitoring program implemented during the pandemic to support home dwelling patients with COVID-19. The program conferred a large survival advantage. We conducted semi-structured interviews of 85 patients and clinicians using COVID Watch to understand how to design such programs even better. Patients and clinicians found COVID Watch to be comforting and beneficial, but both groups desired more clarity about the purpose and timing of enrollment and alternatives to text-messages to adapt to patients' preferences as these may have limited engagement and enrollment among marginalized patient populations. Because inclusiveness and equity are important elements of programmatic success, future programs will need flexible and multi-channel human-to-human communication pathways for complex clinical interactions or for patients who do not desire tech-first approaches.

Insights Into Patients' Perceptions of Health-Related Social Needs and the Role of the Adult Primary Care Clinic.

INTRODUCTION/OBJECTIVES: While it is well established that unmet healthrelated social needs (HRSN) adversely affect health outcomes, there has been limited evaluation in adult primary care of patients' perceptions of how these needs impact their health and the role of the primary care provider (PCP). The objective of this study is to identify patients' perceptions of HRSN and how PCPs could help address them. Secondary objectives include exploring the impact of goal setting and a 1-time cash transfer (CT). METHODS: This qualitative study used semi-structured baseline and follow-up interviews with patients in internal medicine clinics. Adult primary care patients were included if they screened positive as having 1 of 3 HRSN: financial resource strain, transportation needs, or food insecurity. All participants completed an initial interview about their HRSN and health, and were asked to set a 6-month health goal. At enrollment, participants were randomized to receive a $500 CT or a $50 participation reward. At 6-months, patients were interviewed again to investigate progress toward meeting their health goals, [when applicable] how the CT helped, and their beliefs about the role of PCPs in addressing HRSN. RESULTS: We completed 30 initial and 25 follow-up interviews. Participants identified their HRSN, however most did not readily connect identified needs to health. Although participants were receptive to HRSN screening, they did not feel it was their PCP's responsibility to address these needs. Verbal goal-setting appeared to be a useful tool, and while the CTs were appreciated, patients often found them inadequate to address HRSN. CONCLUSIONS: Given the importance of identifying the social conditions that shape patients' health, providers, and health systems have an opportunity to re-evaluate their role in helping patients address these barriers. Future studies could examine the effect of more frequent disbursement of CTs over time.

Patient perspectives on technology-based approaches to social needs screening.

OBJECTIVES: Social determinants have an outsized impact on health outcomes. Given the increasing awareness of this impact and the adoption of alternative payment models that incentivize addressing social needs, expectations are growing that health systems will appropriately screen for patients' social needs. However, there is limited evidence on how patients would like their health systems to engage with them around these needs. Our objective was to understand patient perspectives on completing social needs screening through technology-based modalities. STUDY DESIGN: We performed a qualitative study with semistructured patient interviews from November 2021 to April 2022. METHODS: Patients were eligible for our health system's standardized social needs screening survey if they had not completed it in the past year and were scheduled for a nonacute primary care visit. Patients were selected for interview if they completed the survey via portal or tablet or if they were eligible for but did not complete the survey. Interviews were analyzed using an integrated approach. Domains, subdomains, and themes were identified. RESULTS: We completed interviews with 54 participants. Participants were broadly accepting of screening, and most were comfortable with portal or tablet-based screening. They were motivated to complete the screening and recognized the connection between social needs and health. Having a trusting relationship with their clinician and feeling that their information was private were noted by patients as important factors for process endorsement. CONCLUSIONS: This qualitative study provides insight into patient-centered approaches for identifying patients' social needs.

Evaluation of an Automated Text Message-Based Program to Reduce Use of Acute Health Care Resources After Hospital Discharge.

Importance: Posthospital contact with a primary care team is an established pillar of safe transitions. The prevailing model of telephone outreach is usually limited in scope and operationally burdensome. Objective: To determine whether a 30-day automated texting program to support primary care patients after hospital discharge is associated with reductions in the use of acute care resources. Design, Setting, and Participants: This cohort study used a difference-in-differences approach at 2 academic primary care practices in Philadelphia from January 27 through August 27, 2021. Established patients of the study practices who were 18 years or older, were discharged from an acute care hospitalization, and received the usual transitional care management telephone call were eligible for the study. At the intervention practice, 604 discharges were eligible and 430 (374 patients, of whom 46 had >1 discharge) were enrolled in the intervention. At the control practice, 953 patients met eligibility criteria. The study period, including before and after the intervention, ran from August 27, 2020, through August 27, 2021. Exposure: Patients received automated check-in text messages from their primary care practice on a tapering schedule during the 30 days after discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Main Outcomes and Measures: The primary study outcome was any emergency department (ED) visit or readmission within 30 days of discharge. Secondary outcomes included any ED visit or any readmission within 30 days, analyzed separately, and 30- and 60-day mortality. Analyses were based on intention to treat. Results: A total of 1885 patients (mean [SD] age, 63.2 [17.3] years; 1101 women [58.4%]) representing 2617 discharges (447 before and 604 after the intervention at the intervention practice; 613 before and 953 after the intervention at the control practice) were included in the analysis. The adjusted odds ratio (aOR) for any use of acute care resources after implementation of the intervention was 0.59 (95% CI, 0.38-0.92). The aOR for an ED visit was 0.77 (95% CI, 0.45-1.30) and for a readmission was 0.45 (95% CI, 0.23-0.86). The aORs for death within 30 and 60 days of discharge at the intervention practice were 0.92 (95% CI, 0.23-3.61) and 0.63 (95% CI, 0.21-1.85), respectively. Conclusions and Relevance: The findings of this cohort study suggest that an automated texting program to support primary care patients after hospital discharge was associated with significant reductions in use of acute care resources. This patient-centered approach may serve as a model for improving postdischarge care.

An accelerated hospital observation pathway to reduce length of stay for patients with COVID-19.

OBJECTIVES: Strategies to maintain hospital capacity during the COVID-19 pandemic included reducing hospital length of stay (LOS) for infected patients. We sought to evaluate the association between LOS and enrollment in the COVID Accelerated Care Pathway, which consisted of a hospital observation protocol and postdischarge automated text message-based monitoring. STUDY DESIGN: Retrospective matched cohort study of patients hospitalized from December 14, 2020, to January 31, 2021. METHODS: Participants were patients who presented to the emergency department with acute infection due to COVID-19, required hospitalization, and met pathway inclusion criteria. Participants were compared with a propensity score-matched cohort of patients with COVID-19 admitted to the same hospital during the 7 weeks preceding and following pathway implementation. RESULTS: There were 44 patients in the intervention group and 83 patients in the propensity score-matched cohort. The mean (SD) hospital LOS for patients in the intervention group was 1.7 (2.6) days compared with 3.9 (2.3) days for patients in the matched cohort (difference, -2.2 days; 95% CI, -3.3 to -1.1). In the intervention group, 2 patients (5%; 95% CI, 0%-15%) were rehospitalized within 14 days compared with 8 (10%; 95% CI, 4%-17%) in the matched cohort. CONCLUSIONS: Patients with COVID-19 who were managed through an accelerated hospital observation protocol and postdischarge monitoring service had reduced hospital LOS compared with patients receiving standard care. Hospital preparedness for future public health emergencies may involve the design of pathways that reduce the time that patients spend in the hospital, lower cost, and ensure continued recovery upon discharge.

Comparative Effectiveness of an Automated Text Messaging Service for Monitoring COVID-19 at Home.

BACKGROUND: Although most patients with SARS-CoV-2 infection can be safely managed at home, the need for hospitalization can arise suddenly. OBJECTIVE: To determine whether enrollment in an automated remote monitoring service for community-dwelling adults with COVID-19 at home ("COVID Watch") was associated with improved mortality. DESIGN: Retrospective cohort analysis. SETTING: Mid-Atlantic academic health system in the United States. PARTICIPANTS: Outpatients who tested positive for SARS-CoV-2 between 23 March and 30 November 2020. INTERVENTION: The COVID Watch service consists of twice-daily, automated text message check-ins with an option to report worsening symptoms at any time. All escalations were managed 24 hours a day, 7 days a week by dedicated telemedicine clinicians. MEASUREMENTS: Thirty- and 60-day outcomes of patients enrolled in COVID Watch were compared with those of patients who were eligible to enroll but received usual care. The primary outcome was death at 30 days. Secondary outcomes included emergency department (ED) visits and hospitalizations. Treatment effects were estimated with propensity score-weighted risk adjustment models. RESULTS: A total of 3488 patients enrolled in COVID Watch and 4377 usual care control participants were compared with propensity score weighted models. At 30 days, COVID Watch patients had an odds ratio for death of 0.32 (95% CI, 0.12 to 0.72), with 1.8 fewer deaths per 1000 patients (CI, 0.5 to 3.1) (P = 0.005); at 60 days, the difference was 2.5 fewer deaths per 1000 patients (CI, 0.9 to 4.0) (P = 0.002). Patients in COVID Watch had more telemedicine encounters, ED visits, and hospitalizations and presented to the ED sooner (mean, 1.9 days sooner [CI, 0.9 to 2.9 days]; all P < 0.001). LIMITATION: Observational study with the potential for unobserved confounding. CONCLUSION: Enrollment of outpatients with COVID-19 in an automated remote monitoring service was associated with reduced mortality, potentially explained by more frequent telemedicine encounters and more frequent and earlier presentation to the ED. PRIMARY FUNDING SOURCE: Patient-Centered Outcomes Research Institute.

Automated Text-Based Symptom Monitoring With Rapid Clinician Triage for Patients With Cancer and Suspected or Confirmed COVID-19.

PURPOSE: Patients with cancer are at greater risk of developing severe symptoms from COVID-19 than the general population. We developed and tested an automated text-based remote symptom-monitoring program to facilitate early detection of worsening symptoms and rapid assessment for patients with cancer and suspected or confirmed COVID-19. METHODS: We conducted a feasibility study of Cancer COVID Watch, an automated COVID-19 symptom-monitoring program with oncology nurse practitioner (NP)-led triage among patients with cancer between April 23 and June 30, 2020. Twenty-six patients with cancer and suspected or confirmed COVID-19 were enrolled. Enrolled patients received twice daily automated text messages over 14 days that asked "How are you feeling compared to 12 hours ago? Better, worse, or the same?" and, if worse, "Is it harder than usual for you to breathe?" Patients who responded worse and yes were contacted within 1 hour by an oncology NP. RESULTS: Mean age of patients was 62.5 years. Seventeen (65%) were female, 10 (38%) Black, and 15 (58%) White. Twenty-five (96%) patients responded to ≥ 1 symptom check-in, and overall response rate was 78%. Four (15%) patients were escalated to the triage line: one was advised to present to the emergency department (ED), and three were managed in the outpatient setting. Median time from escalation to triage call was 11.5 minutes. Four (15%) patients presented to the ED without first escalating their care via our program. Participant satisfaction was high (Net Promoter Score: 100, n = 4). CONCLUSION: Implementation of an intensive remote symptom monitoring and rapid NP triage program for outpatients with cancer and suspected or confirmed COVID-19 infection is possible. Similar tools may facilitate more rapid triage for patients with cancer in future pandemics.

Challenges for Adult Undocumented Immigrants in Accessing Primary Care: A Qualitative Study of Health Care Workers in Los Angeles County.

Purpose: Amid increasingly restrictive federal immigration and health care policies in the United States, access to health care for undocumented immigrants is highly dependent on the extent to which local and state policies and programs address the needs of this population. In Los Angeles County (LA County), home to the nation's largest undocumented immigrant population, supportive policies are in place, yet little is known about how undocumented immigrants navigate available services. Methods: To gain insight into how federal, state, and local policies overlay and contribute to the experience of health care seeking among undocumented immigrants in LA County, we interviewed 19 key informant health care workers involved in the delivery of health care services, using a purposive snowball sampling approach. Results: Three key themes emerged: (1) health care workers at all clinics sampled reported primary care appointments are readily available for undocumented immigrants; however, primary care services remain underutilized; (2) fear, misinformation, and misperceptions of coverage and immigration policies-most commonly related to the revised Public Charge Rule-may reduce program enrollment and access; and (3) frontline health care workers feel ill-equipped to address patient fears and misinformation. Conclusion: Although county programs were perceived to improve access by covering health care costs and ensuring appointment availability, new restrictive immigration policies, such as the revised Public Charge Rule, and widespread misinformation present challenges that threaten the success of these programs. Future study to improve undocumented immigrant access to care should focus on addressing barriers resulting from these policies.

Gender Differences in Retention and Promotion Among Generalists Who Graduated From Research-Intensive Fellowships.

BACKGROUND: Generalists who pursue research-intensive fellowships develop research skills and mentor-mentee relationships. Whether gender disparities in retention and promotion exist among this research-trained cohort is understudied. OBJECTIVE: We measured whether disparities exist among graduates of research-intensive fellowships and how mentorship influences them. METHODS: We surveyed generalists (internal medicine, pediatrics, family medicine, combined internal medicine-pediatrics) between July and August 2016 who graduated from research-intensive fellowships. Generalists ("mentees") were asked whether they remained or were promoted, and to name up to 10 influential mentors during or within 5 years of fellowship. Multivariable logistic regression estimated associations between mentee gender and retention and promotion. Next, we separately included 3 network characteristics: (1) mentee degrees (number of mentors reported per mentee); (2) mean mentor betweenness centrality (importance of each mentor within the network); and (3) largest community membership (mentee status in the largest interconnected mentor-mentee group within the network). All models adjusted for generalists' race, specialty, fellowship institution, and publications. RESULTS: One hundred sixty-two graduates (51%) representing 19 institutions responded. In adjusted analyses, compared to men, women were as likely to remain in academic medicine (odds ratio [OR] 1.88; 95% confidence interval [CI] 0.72-4.89; P = .20), but less likely to be promoted within 5 years of fellowship (OR 0.26; 95% CI 0.09-0.80; P = .018). Inclusion of network measures did not alter these associations. CONCLUSIONS: Despite remaining in academic medicine as frequently as their male counterparts, fellowship-trained women were promoted less often. Features of mentors, measured using network analysis, may not explain these observed differences.

Public Libraries As Partners for Health.

INTRODUCTION: Public libraries are free and accessible to all and are centers of community engagement and education, making them logical choices as partners for improving population health. Library staff members routinely assist patrons with unmet health and social needs. METHODS: We used a 100-question, self-administered web survey sent to all library directors listed in the Pennsylvania Library Association database (N = 621), to investigate staff interactions with library patrons to address social determinants of health. We conducted statistical comparisons of quantitative responses and a content analysis of open-ended responses. RESULTS: Respondents (N = 262) reported frequently interacting with patrons around health and social concerns - well beyond those related to literacy and education - including help with employment (94%), nutrition (70%), exercise (66%), and social welfare benefits (51%). Acute emergencies were not uncommon in Pennsylvania's public libraries, with nearly 12% of respondents having witnessed a drug overdose at the library in the past year. Most respondents felt that their professional training left them inadequately prepared to assist patrons with health and social issues. Although at least 40% of respondents offered some health programming at their library branch, their offerings did not meet the high level of need reflected in common patron inquiries. CONCLUSION: The challenges library staff members experience in meeting their patrons' information needs suggest opportunities for public libraries to advance population health. Library staff members need additional training and resources and collaboration with public health and health care institutions to respond to community needs through effective, evidence-based public health programming.

Eliminating Gender-Based Bias in Academic Medicine: More Than Naming the "Elephant in the Room".

Gender-based discrimination and bias are widespread in professional settings, including academic medicine. Overt manifestations such as sexual harassment have long been identified but attention is only more recently turning towards subtler forms of bias, including inequity in promotion and compensation. Barriers to progress vary across institutions and include lack of awareness, inadequate training, poor informational transparency, and challenging power dynamics. We propose five solutions that the academic medical community can adopt to not only name, but also address, gender-based bias as the proverbial elephant in the room: definitively identify the systemic nature of the problem, prompt those with influence and power to advance a culture of equity, broadly incorporate evidence-based explicit anti-sexist training, increase transparency of information related to professional development and compensation, and use robust research methods to study the drivers and potential solutions of gender inequity within academic medicine. While implementing these proposals is no small task, doing so is an important step in helping the academic medical community become more just.

Public Library Staff as Community Health Partners: Training Program Design and Evaluation.

Public libraries are free and open to all-and accessed at high rates by vulnerable populations-which positions them to be key public health allies. However, library staff themselves often feel ill-equipped to address the health and social concerns of their patrons. To fill this gap, we developed a case-based training curriculum to help library staff recognize, engage, and refer vulnerable patrons to appropriate resources. Topics addressed in the training, including homelessness, mental health and substance use disorders, immigration, and trauma, were selected based on findings from a prior community needs assessment. Using a modified measure of self-efficacy, participants ( n = 33) were surveyed before and after each session. Several participants ( n = 7) were also interviewed 4 months after the training was completed. Overall, staff reported significant increases in comfort, confidence, and preparedness in assisting vulnerable patrons across all topic areas. Qualitative findings reflected positive perceived impact and value of the trainings. Staff felt training resources should be made more readily accessible. Improving library staff capacity to address the health and social needs of their patrons can further establish public libraries as partners in improving population health.

Beyond Books: Public Libraries As Partners For Population Health.

Public libraries are not usually included in discussions about improving population health. They are, however, well positioned to be partners in building a culture of health through programming that addresses the social determinants of health. The Healthy Library Initiative, a partnership between the University of Pennsylvania and the Free Library of Philadelphia (the public library system that serves the city), has undertaken such efforts in Philadelphia. In this article we report findings from an assessment of how ten highly subscribed programs address the social determinants of health, as well as results of interviews with community residents and library staff. Of the 5.8 million in-person Free Library visits in 2015, 500,000 included attendance at specialized programs that addressed multiple health determinants, such as housing and literacy. Library staff provided intensive support to vulnerable populations including homeless people, people with mental illness and substance use, recent immigrants, and children and families suffering from trauma. We found that public libraries are trusted institutions that have broad population reach and untapped potential to improve population health.

Penn Center for Community Health Workers: Step-by-Step Approach to Sustain an Evidence-Based Community Health Worker Intervention at an Academic Medical Center.

Community-engaged researchers who work with low-income communities can be reliant on grant funding. We use the illustrative case of the Penn Center for Community Health Workers (PCCHW) to describe a step-by-step framework for achieving financial sustainability for community-engaged research interventions. PCCHW began as a small grant-funded research project but followed an 8-step framework to engage both low-income patients and funders, determine outcomes, and calculate return on investment. PCCHW is now fully funded by Penn Medicine and delivers the Individualized Management for Patient-Centered Targets (IMPaCT) community health worker intervention to 2000 patients annually.