Primary Care Physicians' Experiences With and Adaptations to Time Constraints.

Importance: The primary care workforce shortage is significant and persistent, with organizational and policy leaders urgently seeking interventions to enhance retention and recruitment. Time constraints are a valuable focus for action; however, designing effective interventions requires deeper understanding of how time constraints shape employees' experiences and outcomes of work. Objective: To examine how time constraints affect primary care physicians' work experiences and careers. Design, Setting, and Participants: Between May 1, 2021, and September 31, 2022, US-based primary care physicians who trained in family or internal medicine were interviewed. Using qualitative analysis of in-depth interviews, this study examined how participants experience and adapt to time constraints during a typical clinic day, taking account of their professional and personal responsibilities. It also incorporates physicians' reflections on implications for their careers. Main Outcomes and Measures: Thematic analysis of in-depth interviews and a measure of well-being (American Medical Association Mini-Z survey). Results: Interviews with 25 primary care physicians (14 [56%] female and 11 [44%] male; median [range] age, 43 [34-63] years) practicing in 11 US states were analyzed. Two physicians owned their own practice, whereas the rest worked as employees. The participants represented a wide range of years in practice (range, 1 to ≥21), with 11 participants (44%) in their first 5 years. Physicians described that the structure of their work hours did not match the work that was expected of them. This structural mismatch between time allocation and work expectations created a constant experience of time scarcity. Physicians described having to make tradeoffs between maintaining high-quality patient care and having their work overflow into their personal lives. These experiences led to feelings of guilt, disillusionment, and dissatisfaction. To attempt to sustain long-term careers in primary care, many sought ways to see fewer patients. Conclusions and Relevance: These findings suggest that organizational leaders must align schedules with work expectations for primary care physicians to mitigate physicians' withdrawal from work as a coping mechanism. Specific strategies are needed to achieve this realignment, including incorporating more slack into schedules and establishing realistic work expectations for physicians.

Electronic Coding for Abnormal Fecal Immunochemical Test Is Associated With Increased Colonoscopy Completion.

INTRODUCTION: We examined the utility of the International Classification of Disease, Tenth Revision (ICD-10) code, R19.5, for a positive or abnormal fecal immunochemical test (FIT) and its association with colonoscopy completion. METHODS: We identified all patients in a safety-net health system who underwent FITs from January 1, 2020, to August 31, 2021, and extracted the FIT date, FIT result, and ICD-10 code (R19.5) and colonoscopy procedures for each patient. RESULTS: FIT-positive patients who had an R19.5 designation within 90 days (n = 383) were significantly more likely than all other FIT-positive patients (n = 273) to complete a colonoscopy within 6 months (40.9% vs 16.8%, P <0.001). DISCUSSION: We found that less than two-thirds of patients had an ICD-10 code designated in their chart within 30 days of an abnormal FIT. When coding occurred in a timely manner, patients were more likely to complete their colonoscopy within 6 months.

"Good Care Is Slow Enough to Be Able to Pay Attention": Primary Care Time Scarcity and Patient Safety.

BACKGROUND: There is growing, widespread recognition that expectations of US primary care vastly exceed the time and resources allocated to it. Little research has directly examined how time scarcity contributes to harm or patient safety incidents not readily capturable by population-based quality metrics. OBJECTIVE: To examine near-miss events identified by primary care physicians in which taking additional time improved patient care or prevented harm. DESIGN: Qualitative study based on semi-structured interviews. PARTICIPANTS: Twenty-five primary care physicians practicing in the USA. APPROACH: Participants completed a survey that included demographic questions, the Ballard Organizational Temporality Scale and the Mini-Z scale, followed by a one hour qualitative interview over video-conference (Zoom). Iterative thematic qualitative data analysis was conducted. KEY RESULTS: Primary care physicians identified several types of near-miss events in which taking extra time during visits changed their clinical management. These were evident in five types of patient care episodes: high-risk social situations, high-risk medication regimens requiring patient education, high acuity conditions requiring immediate workup or treatment, interactions of physical and mental health, and investigating more subtle clinical suspicions. These near-miss events highlight the ways in which unreasonably large patient panels and packed schedules impede adequate responses to patient care episodes that are time sensitive and intensive or require flexibility. CONCLUSIONS: Primary care physicians identify and address patient safety issues and high-risk situations by spending more time than allotted for a given patient encounter. Current quality metrics do not account for this critical aspect of primary care work. Current healthcare policy and organization create time scarcity. Interventions to address time scarcity and to measure its prevalence and implications for care quality and safety are urgently needed.

Using Artificial Intelligence to Improve Primary Care for Patients and Clinicians.

This Viewpoint discusses how artificial intelligence can be used to increase efficiency of primary care processes for clinicians and patients.

Association between language discordance and unplanned hospital readmissions or emergency department revisits: a systematic review and meta-analysis.

BACKGROUND AND OBJECTIVE: Studies conflict about whether language discordance increases rates of hospital readmissions or emergency department (ED) revisits for adult and paediatric patients. The literature was systematically reviewed to investigate the association between language discordance and hospital readmission and ED revisit rates. DATA SOURCES: Searches were performed in PubMed, Embase and Google Scholar on 21 January 2021, and updated on 27 October 2022. No date or language limits were used. STUDY SELECTION: Articles that (1) were peer-reviewed publications; (2) contained data about patient or parental language skills and (3) included either unplanned hospital readmission or ED revisit as one of the outcomes, were screened for inclusion. Articles were excluded if: unavailable in English; contained no primary data or inaccessible in a full-text form (eg, abstract only). DATA EXTRACTION AND SYNTHESIS: Two reviewers independently extracted data using Preferred Reporting Items for Systematic Reviews and Meta-Analyses-extension for scoping reviews guidelines. We used the Newcastle-Ottawa Scale to assess data quality. Data were pooled using DerSimonian and Laird random-effects models. We performed a meta-analysis of 18 adult studies for 28-day or 30-day hospital readmission; 7 adult studies of 30-day ED revisits and 5 paediatric studies of 72-hour or 7-day ED revisits. We also conducted a stratified analysis by whether access to interpretation services was verified/provided for the adult readmission analysis. MAIN OUTCOMES AND MEASURES: Odds of hospital readmissions within a 28-day or 30-day period and ED revisits within a 7-day period. RESULTS: We generated 4830 citations from all data sources, of which 49 (12 paediatric; 36 adult; 1 with both adult and paediatric) were included. In our meta-analysis, language discordant adult patients had increased odds of hospital readmissions (OR 1.11, 95% CI 1.04 to 1.18). Among the 4 studies that verified interpretation services for language discordant patient-clinician interactions, there was no difference in readmission (OR 0.90, 95% CI 0.77 to 1.05), while studies that did not specify interpretation service access/use found higher odds of readmission (OR 1.14, 95% CI 1.06 to 1.22). Adult patients with a non-dominant language preference had higher odds of ED revisits (OR 1.07, 95% CI 1.004 to 1.152) compared with adults with a dominant language preference. In 5 paediatric studies, children of parents language discordant with providers had higher odds of ED revisits at 72 hours (OR 1.12, 95% CI 1.05 to 1.19) and 7 days (OR 1.02, 95% CI 1.01 to 1.03) compared with patients whose parents had language concordant communications. DISCUSSION: Adult patients with a non-dominant language preference have more hospital readmissions and ED revisits, and children with parents who have a non-dominant language preference have more ED revisits. Providing interpretation services may mitigate the impact of language discordance and reduce hospital readmissions among adult patients. PROSPERO REGISTRATION NUMBER: CRD42022302871.

Experiences and Perceptions of Healthcare Stakeholders in Disclosing Errors and Adverse Events to Historically Marginalized Patients.

OBJECTIVES: We sought to assess the experiences and perceptions of healthcare stakeholders involved in the response to historically marginalized patients who have been harmed in healthcare. We investigated the challenges in disclosing errors and adverse events and the types of tools and resources that would better address the needs of historically marginalized patient populations. METHODS: We conducted separate focus groups with two healthcare stakeholder groups: (1) frontline clinicians directly involved in the clinical care of historically marginalized patients and (2) risk and patient safety professionals involved in the hospital response to care breakdowns. We conducted an inductive analysis of the qualitative data to identify thematic clusters. RESULTS: We interviewed 7 clinicians and 5 risk safety professionals, with a total sample size of 12 participants. Participants shared multilevel challenges in responding to historically marginalized patients after harm (system-, organizational-, and patient-level), such as fragmentation of care, lack of standardized protocols, and patient mistrust. Participants also identified their desired tools and resources for disclosure to meet the needs of historically marginalized patients, which included culturally appropriate toolkits, disclosure training, and the inclusion of multidisciplinary healthcare team members in the disclosure process. CONCLUSIONS: Our results suggest that multiple interventions will be needed to achieve the goal of prompt disclosure of errors and adverse events across all populations engaged in health care. Future studies should investigate the perspectives of historically marginalized patients and their family members on how error and adverse event disclosure conversations should unfold.

Policies to Support Lactation at Highly Ranked US Medical Schools.

This cross-sectional study analyzes lactation support policies at the top 50 US schools of medicine.

Visit and Between-Visit Interaction Frequency Before and After COVID-19 Telehealth Implementation.

Importance: Telehealth implementation associated with the COVID-19 public health emergency (PHE) affected patient-clinical team interactions in numerous ways. Yet, studies have narrowly examined billed patient-clinician visits rather than including visits with other team members (eg, pharmacists) or between-visit interactions. Objective: To evaluate rates of change over time in visits (in-person, telehealth) and between-visit interactions (telephone calls, patient portal messages) overall and by key patient characteristics. Design, Setting, and Participants: This retrospective cohort study included adults with diabetes receiving primary care at urban academic (University of California San Francisco [UCSF]) and safety-net (San Francisco Health Network [SFHN]) health care systems. Encounters from April 2019 to March 2021 were analyzed. Exposure: Telehealth implementation over 3 periods: pre-PHE (April 2019 to March 2020), strict shelter-in-place (April to June 2020), and hybrid-PHE (July 2020 to March 2021). Main Outcomes and Measures: The main outcomes were rates of change in monthly mean number of total encounters, visits with any health care team member, visits with billing clinicians, and between-visit interactions. Key patient-level characteristics were age, race and ethnicity, language, and neighborhood socioeconomic status (nSES). Results: Of 15 148 patients (4976 UCSF; 8975 SFHN) included, 2464 (16%) were 75 years or older, 7734 (51%) were female patients, 9823 (65%) self-identified as racially or ethnically minoritized, 6223 (41%) had a non-English language preference, and 4618 (31%) lived in the lowest nSES quintile. After accounting for changes to care delivery through an interrupted time-series analysis, total encounters increased in the hybrid-PHE period (UCSF: 2.3% per patient/mo; 95% CI, 1.6%-2.9% per patient/mo; SFHN: 1.8% per patient/mo, 95% CI, 1.3%-2.2% per patient/mo), associated primarily with growth in between-visit interactions (UCSF: 3.1% per patient/mo, 95% CI, 2.3%-3.8% per patient/mo; SFHN: 2.9% per patient/mo, 95% CI, 2.3%-3.4% per patient/mo). In contrast, rates of visits were stable during the hybrid-PHE period. Although there were fewer differences in visit use by key patient-level characteristics during the hybrid-PHE period, pre-PHE differences in between-visit interactions persisted during the hybrid-PHE period at SFHN. Asian and Chinese-speaking patients at SFHN had fewer monthly mean between-visit interactions compared with White patients (0.46 [95% CI, 0.42-0.50] vs 0.59 [95% CI, 0.53-0.66] between-visit interactions/patient/mo; P < .001) and English-speaking patients (0.52 [95% CI, 0.47-0.58] vs 0.61 [95% CI, 0.56-0.66] between-visit interactions/patient/mo; P = .03). Conclusions and Relevance: In this study, pre-PHE growth in overall patient-clinician encounters persisted after PHE-related telehealth implementation, driven in both periods by between-visit interactions. Differential utilization based on patient characteristics was observed, which may indicate disparities. The implications for health care team workload and patient outcomes are unknown, particularly regarding between-visit interactions. Therefore, to comprehensively understand care utilization for patients with chronic diseases, research should expand beyond billed visits.

Social Determinants of Health Documentation in Structured and Unstructured Clinical Data of Patients With Diabetes: Comparative Analysis.

Background: Electronic health records (EHRs) have yet to fully capture social determinants of health (SDOH) due to challenges such as nonexistent or inconsistent data capture tools across clinics, lack of time, and the burden of extra steps for the clinician. However, patient clinical notes (unstructured data) may be a better source of patient-related SDOH information. Objective: It is unclear how accurately EHR data reflect patients' lived experience of SDOH. The manual process of retrieving SDOH information from clinical notes is time-consuming and not feasible. We leveraged two high-throughput tools to identify SDOH mappings to structured and unstructured patient data: PatientExploreR and Electronic Medical Record Search Engine (EMERSE). Methods: We included adult patients (≥18 years of age) receiving primary care for their diabetes at the University of California, San Francisco (UCSF), from January 1, 2018, to December 31, 2019. We used expert raters to develop a corpus using SDOH in the compendium as a knowledge base as targets for the natural language processing (NLP) text string mapping to find string stems, roots, and syntactic similarities in the clinical notes of patients with diabetes. We applied advanced built-in EMERSE NLP query parsers implemented with JavaCC. Results: We included 4283 adult patients receiving primary care for diabetes at UCSF. Our study revealed that SDOH may be more significant in the lives of patients with diabetes than is evident from structured data recorded on EHRs. With the application of EMERSE NLP rules, we uncovered additional information from patient clinical notes on problems related to social connectionsisolation, employment, financial insecurity, housing insecurity, food insecurity, education, and stress. Conclusions: We discovered more patient information related to SDOH in unstructured data than in structured data. The application of this technique and further investment in similar user-friendly tools and infrastructure to extract SDOH information from unstructured data may help to identify the range of social conditions that influence patients' disease experiences and inform clinical decision-making.

Language-Specific Challenges and Solutions for Equitable Telemedicine Implementation in the Primary Care Safety Net During COVID-19.

PURPOSE: Telemedicine care dramatically expanded during the COVID-19 pandemic. We characterized facilitators and barriers to telemedicine implementation among safety-net primary care clinics serving patients with limited English proficiency (LEP). METHODS: We collected data on telemedicine volume and patient demographics among safety-net clinics participating in a telemedicine learning collaborative. Data on various metrics were reported to the collaborative from February 2019 through August 2021. We conducted semi-structured interviews with clinical and quality leaders, purposively sampling clinics serving high proportions of patients with LEP. We analyzed interviews with a mixed inductive-deductive approach applying the Consolidated Framework for Implementation Research. RESULTS: By September 2020, the 23 sites served 121,589 unique patients with in-person and 120,338 with telephone visits; 47% of these patients had LEP. Of 10,897 unique patients served by video visits, 38% had LEP. As a proportion of total visits, telemedicine (telephone and video) visits increased from 0-17% in October 2019-March 2020 to 10-98% in March-August 2020. We conducted 14 interviews at 11 sites. Themes included (1) existing telemedicine platforms and interpreter services were not optimized to support patients with LEP; (2) clinics invested significant labor iterating workflows; (3) sites with technological infrastructure and language-concordant staff were best suited to serve patients; (4) patients speaking less-represented languages or experiencing intersecting literacy barriers were underserved with telemedicine. Interviewees recommended innovations in telemedicine platforms and community-based access. CONCLUSIONS: Safety-net sites relied on existing resources to accommodate patients with LEP, but struggled providing access for the most marginalized. Proactive, data-driven strategies to address patient and community barriers as well as optimize clinical workflows with high-quality, certified medical interpreters are needed to ensure equitable access.

Usability and acceptability of virtual reality for chronic pain management among diverse patients in a safety-net setting: a qualitative analysis.

Objective: The aim of this study was to understand the usability and acceptability of virtual reality (VR) among a racially and ethnically diverse group of patients who experience chronic pain. Materials and Methods: Using the Technology Acceptance Model theory, we conducted semistructured interviews and direct observation of VR use with English-speaking patients who experience chronic pain treated in a public healthcare system (n = 15), using a commercially available VR technology platform. Interviews included questions about current pain management strategies, technology use, experiences and opinions with VR, and motivators for future use. Results: Before the study, none of the 15 participants had heard about or used VR for pain management. Common motivators for VR use included a previous history of substance use and having exhausted many other options to manage their pain and curiosity. Most participants had a positive experience with VR and 47% found that the VR modules distracted them from their pain. When attempting the navigation-based usability tasks, most participants (73%-92%) were able to complete them independently. Discussion: VR is a usable tool for diverse patients with chronic pain. Our findings suggest that the usability of VR is not a barrier and perhaps a focus on improving the accessibility of VR in safety-net settings is needed to reduce disparities in health technology use. Conclusions: The usability and acceptability of VR are rarely studied in diverse patient populations. We found that participants had a positive experience using VR, showed interest in future use, and would recommend VR to family and friends.

Virtual Reality for Chronic Pain Management Among Historically Marginalized Populations: Systematic Review of Usability Studies.

BACKGROUND: Virtual reality (VR) has potential to improve chronic pain management outcomes. However, the majority of studies assessing VR are conducted in predominantly White populations in well-resourced settings, thus leaving a gap in knowledge of VR use among diverse populations who experience a significant chronic pain burden. OBJECTIVE: This review aims to examine the extent to which usability of VR for chronic pain management has been studied within historically marginalized patient groups. METHODS: We conducted a systematic search to identify studies with usability outcomes located in high-income countries that included a historically marginalized population, defined by a mean age greater than or equal to 65 years, lower educational attainment (greater than or equal to 60% having attained high school education or less), and being a racial or ethnic minority (less than or equal to 50% non-Hispanic White people for studies based in the United States). RESULTS: Our analysis included 5 papers, which we used to conduct a narrative analysis. Three studies examined VR usability as a primary outcome. All studies assessed VR usability using different measures, of which 4 found VR to be usable by their respective study population. Only 1 study found a significant improvement in pain levels post-VR intervention. CONCLUSIONS: The use of VR shows promise for chronic pain management, but few studies include populations that are older, have limited educational attainment, or have racial or ethnic diversity. Additional studies with these populations are needed to further develop VR systems that work best for diverse patients with chronic pain.

Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis.

Background: Social media has emerged as a critical mass communication tool, with both health information and misinformation now spread widely on the web. Prior to the COVID-19 pandemic, some public figures promulgated anti-vaccine attitudes, which spread widely on social media platforms. Although anti-vaccine sentiment has pervaded social media throughout the COVID-19 pandemic, it is unclear to what extent interest in public figures is generating anti-vaccine discourse. Objective: We examined Twitter messages that included anti-vaccination hashtags and mentions of public figures to assess the connection between interest in these individuals and the possible spread of anti-vaccine messages. Methods: We used a data set of COVID-19-related Twitter posts collected from the public streaming application programming interface from March to October 2020 and filtered it for anti-vaccination hashtags "antivaxxing," "antivaxx," "antivaxxers," "antivax," "anti-vaxxer," "discredit," "undermine," "confidence," and "immune." Next, we applied the Biterm Topic model (BTM) to output topic clusters associated with the entire corpus. Topic clusters were manually screened by examining the top 10 posts most highly correlated in each of the 20 clusters, from which we identified 5 clusters most relevant to public figures and vaccination attitudes. We extracted all messages from these clusters and conducted inductive content analysis to characterize the discourse. Results: Our keyword search yielded 118,971 Twitter posts after duplicates were removed, and subsequently, we applied BTM to parse these data into 20 clusters. After removing retweets, we manually screened the top 10 tweets associated with each cluster (200 messages) to identify clusters associated with public figures. Extraction of these clusters yielded 768 posts for inductive analysis. Most messages were either pro-vaccination (n=329, 43%) or neutral about vaccination (n=425, 55%), with only 2% (14/768) including anti-vaccination messages. Three main themes emerged: (1) anti-vaccination accusation, in which the message accused the public figure of holding anti-vaccination beliefs; (2) using "anti-vax" as an epithet; and (3) stating or implying the negative public health impact of anti-vaccination discourse. Conclusions: Most discussions surrounding public figures in common hashtags labelled as "anti-vax" did not reflect anti-vaccination beliefs. We observed that public figures with known anti-vaccination beliefs face scorn and ridicule on Twitter. Accusing public figures of anti-vaccination attitudes is a means of insulting and discrediting the public figure rather than discrediting vaccines. The majority of posts in our sample condemned public figures expressing anti-vax beliefs by undermining their influence, insulting them, or expressing concerns over public health ramifications. This points to a complex information ecosystem, where anti-vax sentiment may not reside in common anti-vax-related keywords or hashtags, necessitating further assessment of the influence that public figures have on this discourse.

COVID-19-Associated Misinformation Across the South Asian Diaspora: Qualitative Study of WhatsApp Messages.

Background: South Asians, inclusive of individuals originating in India, Pakistan, Maldives, Bangladesh, Sri Lanka, Bhutan, and Nepal, comprise the largest diaspora in the world, with large South Asian communities residing in the Caribbean, Africa, Europe, and elsewhere. There is evidence that South Asian communities have disproportionately experienced COVID-19 infections and mortality. WhatsApp, a free messaging app, is widely used in transnational communication within the South Asian diaspora. Limited studies exist on COVID-19-related misinformation specific to the South Asian community on WhatsApp. Understanding communication on WhatsApp may improve public health messaging to address COVID-19 disparities among South Asian communities worldwide. Objective: We developed the COVID-19-Associated misinfoRmation On Messaging apps (CAROM) study to identify messages containing misinformation about COVID-19 shared via WhatsApp. Methods: We collected messages forwarded globally through WhatsApp from self-identified South Asian community members between March 23 and June 3, 2021. We excluded messages that were in languages other than English, did not contain misinformation, or were not relevant to COVID-19. We deidentified each message and coded them for one or more content categories, media types (eg, video, image, text, web link, or a combination of these elements), and tone (eg, fearful, well intentioned, or pleading). We then performed a qualitative content analysis to arrive at key themes of COVID-19 misinformation. Results: We received 108 messages; 55 messages met the inclusion criteria for the final analytic sample; 32 (58%) contained text, 15 (27%) contained images, and 13 (24%) contained video. Content analysis revealed the following themes: "community transmission" relating to misinformation on how COVID-19 spreads in the community; "prevention" and "treatment," including Ayurvedic and traditional remedies for how to prevent or treat COVID-19 infection; and messaging attempting to sell "products or services" to prevent or cure COVID-19. Messages varied in audience from the general public to South Asians specifically; the latter included messages alluding to South Asian pride and solidarity. Scientific jargon and references to major organizations and leaders in health care were included to provide credibility. Messages with a pleading tone encouraged users to forward them to friends or family. Conclusions: Misinformation in the South Asian community on WhatsApp spreads erroneous ideas regarding disease transmission, prevention, and treatment. Content evoking solidarity, "trustworthy" sources, and encouragement to forward messages may increase the spread of misinformation. Public health outlets and social media companies must actively combat misinformation to address health disparities among the South Asian diaspora during the COVID-19 pandemic and in future public health emergencies.

Acceptability and Usability of a Wearable Device for Sleep Health Among English- and Spanish-Speaking Patients in a Safety Net Clinic: Qualitative Analysis.

BACKGROUND: Sleep disorders are common and disproportionately affect marginalized populations. Technology, such as wearable devices, holds the potential to improve sleep quality and reduce sleep disparities, but most devices have not been designed or tested with racially, ethnically, and socioeconomically diverse patients. Inclusion and engagement of diverse patients throughout digital health development and implementation are critical to achieving health equity. OBJECTIVE: This study aims to evaluate the usability and acceptability of a wearable sleep monitoring device-SomnoRing-and its accompanying mobile app among patients treated in a safety net clinic. METHODS: The study team recruited English- and Spanish-speaking patients from a mid-sized pulmonary and sleep medicine practice serving publicly insured patients. Eligibility criteria included initial evaluation of obstructed sleep apnea, which is most appropriate for limited cardiopulmonary testing. Patients with primary insomnia or other suspected sleep disorders were not included. Patients tested the SomnoRing over a 7-night period and participated in a 1-hour semistructured web-based qualitative interview covering perceptions of the device, motivators and barriers to use, and general experiences with digital health tools. The study team used inductive or deductive processes to code interview transcripts, guided by the Technology Acceptance Model. RESULTS: A total of 21 individuals participated in the study. All participants owned a smartphone, almost all (19/21) felt comfortable using their phone, and few already owned a wearable (6/21). Almost all participants wore the SomnoRing for 7 nights and found it comfortable. The following four themes emerged from qualitative data: (1) the SomnoRing was easy to use compared to other wearable devices or traditional home sleep testing alternatives, such as the standard polysomnogram technology for sleep studies; (2) the patient's context and environment, such as family and peer influence, housing status, access to insurance, and device cost affected the overall acceptance of the SomnoRing; (3) clinical champions motivated use in supporting effective onboarding, interpretation of data, and, ongoing technical support; and (4) participants desired more assistance and information to best interpret their own sleep data summarized in the companion app. CONCLUSIONS: Racially, ethnically, and socioeconomically diverse patients with sleep disorders perceived a wearable as useful and acceptable for sleep health. Participants also uncovered external barriers related to the perceived usefulness of the technology, such as housing status, insurance coverage, and clinical support. Future studies should further examine how to best address these barriers so that wearables, such as the SomnoRing, can be successfully implemented in the safety net health setting.

Randomized trial protocol for remote monitoring for equity in advancing the control of hypertension in safety net systems (REACH-SNS) study.

BACKGROUND: Self-measured blood pressure monitoring (SMBP) is essential to effective management of hypertension. This study aims to evaluate effectiveness and implementation of SMBP that leverages: cellular-enabled home BP monitors without a need for Wi-Fi or Bluetooth; simple communication modalities such as text messaging to support patient engagement; and integration into existing team-based workflows in safety-net clinics. METHODS: This study will be conducted with patients in San Francisco who are treated within a network of safety-net clinics. English and Spanish-speaking patients with diagnosed hypertension will be eligible for the trial if they have recent BP readings ≥140/90 mmHg and do not have co-morbid conditions that make home BP monitoring more complex to manage. This study will implement a three-arm randomized controlled trial to compare varying levels of implementation support: 1) cellular-enabled BP monitors (with minimal implementation support), 2) cellular-enabled BP monitors with protocol-based implementation support (text reminders for patients; aggregated BP summaries sent to primary care providers), and 3) cellular-enabled BP monitors and pharmacist-led support (pharmacist coaching and independent medication adjustments). RESULTS: For the main analysis, we will use mixed effects linear regression to compare the change in primary outcome of systolic BP. Secondary outcomes include BP control (<140/90 mmHg), medication intensification, patient-reported outcomes, and implementation processes (i.e., engagement with the intervention). DISCUSSION: This study will design and test a digital health intervention for use in marginalized populations treated within safety net settings, evaluating both effectiveness and implementation to advance more equitable health outcomes.

Factors Associated With Diagnostic Error: An Analysis of Closed Medical Malpractice Claims.

INTRODUCTION: Missed and delayed diagnoses have received substantial attention as a quality and patient safety priority. To the extent that electronic health records, team-based care, and other mitigation strategies have been successful in improving diagnosis since the last large-scale study, we would expect that the contributing factors to diagnostic claims may have changed. METHODS: This study sought to examine paid medical malpractice claims as a proxy to identify contributing factors that reflect a clear diagnostic error. Diagnostic error cases with indemnity payments (2009-2020) were identified using the Candello (formerly known as CRICO) proprietary taxonomy. Factors associated with indemnity payments were analyzed using a multivariable logistic regression model. RESULTS: Of 5367 included claims, 2161 (40%) had indemnity payments. A majority of claims had multiple contributing factors on the diagnostic pathway. In multivariable analysis, factors independently associated with an indemnity payment included the insurer (odds ratio and 95% confidence interval, 2.8 [2.4-3.3]), high injury severity (1.9 [1.3-2.8]) or death (1.5 [0.99-2.1]), and case setting (inpatient (0.77 [0.65-0.91]) or emergency department (0.67 [0.49-0.92])). Importantly, cases with contributing factors outside of Candello's diagnostic pathway were more likely to lead to indemnity payment. CONCLUSIONS: The digital transformation and acceleration of team-based care in medicine have not mitigated the malpractice risks of complex cases with severe injuries and multiple missteps.

Multilevel Determinants of Digital Health Equity: A Literature Synthesis to Advance the Field.

Current digital health approaches have not engaged diverse end users or reduced health or health care inequities, despite their promise to deliver more tailored and personalized support to individuals at the right time and the right place. To achieve digital health equity, we must refocus our attention on the current state of digital health uptake and use across the policy, system, community, individual, and intervention levels. We focus here on (a) outlining a multilevel framework underlying digital health equity; (b) summarizingfive types of interventions/programs (with example studies) that hold promise for advancing digital health equity; and (c) recommending future steps for improving policy, practice, and research in this space.