Extent of Follow-Up on Abnormal Cancer Screening in Multiple California Public Hospital Systems: A Retrospective Review.

BACKGROUND: Inequitable follow-up of abnormal cancer screening tests may contribute to racial/ethnic disparities in colon and breast cancer outcomes. However, few multi-site studies have examined follow-up of abnormal cancer screening tests and it is unknown if racial/ethnic disparities exist. OBJECTIVE: This report describes patterns of performance on follow-up of abnormal colon and breast cancer screening tests and explores the extent to which racial/ethnic disparities exist in public hospital systems. DESIGN: We conducted a retrospective cohort study using data from five California public hospital systems. We used multivariable robust Poisson regression analyses to examine whether patient-level factors or site predicted receipt of follow-up test. MAIN MEASURES: Using data from five public hospital systems between July 2015 and June 2017, we assessed follow-up of two screening results: (1) colonoscopy after positive fecal immunochemical tests (FIT) and (2) tissue biopsy within 21 days after a BIRADS 4/5 mammogram. KEY RESULTS: Of 4132 abnormal FITs, 1736 (42%) received a follow-up colonoscopy. Older age, Medicaid insurance, lack of insurance, English language, and site were negatively associated with follow-up colonoscopy, while Hispanic ethnicity and Asian race were positively associated with follow-up colonoscopy. Of 1702 BIRADS 4/5 mammograms, 1082 (64%) received a timely biopsy; only site was associated with timely follow-up biopsy. CONCLUSION: Despite the vulnerabilities of public-hospital-system patients, follow-up of abnormal cancer screening tests occurs at rates similar to that of patients in other healthcare settings, with colon cancer screening test follow-up occurring at lower rates than follow-up of breast cancer screening tests. Site-level factors have larger, more consistent impact on follow-up rates than patient sociodemographic traits. Resources are needed to identify health system-level factors, such as test follow-up processes or data infrastructure, that improve abnormal cancer screening test follow-up so that effective health system-level interventions can be evaluated and disseminated.

Warfarin Monitoring in Safety-Net Health Systems: Analysis by Race/Ethnicity and Language Preference.

BACKGROUND: Racial/ethnic disparities in anticoagulation management are well established. Differences in warfarin monitoring can contribute to these disparities and should be measured. OBJECTIVE: We assessed for differences in international normalized ratio (INR) monitoring by race/ethnicity and language preference across safety-net care systems serving predominantly low-income, ethnically diverse populations. DESIGN: Cross-sectional analysis of process and safety data shared from the Safety Promotion Action Research and Knowledge Network (SPARK-Net) initiative, a consortium of five California safety-net hospital systems. PARTICIPANTS: Eligible patients were at least 18 years old, received warfarin for at least 56 days during the measurement period from July 2015 to June 2017, and had INR testing in an ambulatory care setting at a participating healthcare system. MAIN MEASURES: We conducted a scaled Poisson regression for adjusted rate ratio of having at least one INR checked per 56-day time period for which a patient had a warfarin prescription. Adjusting for age, sex, healthcare system, and insurance status/type, we assessed for racial/ethnic and language disparities in INR monitoring. KEY RESULTS: Of 8129 patients, 3615 (44%) were female; 1470 (18%), Black/African American; 3354 (41%), Hispanic/Latinx; 1210 (15%), Asian; 1643 (20%), White; and 452 (6%), other. Three thousand five hundred forty-nine (45%) were non-English preferring. We did not observe statistically significant disparities in the rate of appropriate INR monitoring by race/ethnicity or language; the primary source of variation was by healthcare network. Older age, female gender, and uninsured patients had a slightly higher rate of appropriate INR monitoring, but differences were not clinically significant. CONCLUSIONS: We did not find a race/ethnicity nor language disparity in INR monitoring; safety-net site was the main source of variation.

Exploring factors associated with hepatitis B screening in a multilingual and diverse population.

BACKGROUND: Racial/ethnic minorities bear a disproportionate burden of hepatitis B virus (HBV) infection and disease. Disparities in HBV screening contribute to worse outcomes for communities of color. We examined the impact of race/ethnicity, language preference, and having a usual place of care on HBV screening in a multilingual, urban cohort. METHODS: We used questions from the Health Information National Trends Survey and added validated questions about healthcare access and health literacy. We administered this survey in English, Spanish, and Chinese to a selected convenience sample of San Francisco city/county residents in 2017, with pre-specified targets for populations with known cancer disparities: 25% Spanish-speaking, 25% Chinese-speaking, and 25% Black Americans. Using weighted multivariable logistic regression analyses, we assessed how race/ethnicity, language preference, and having a usual place of care impacts self-report of HBV screening. RESULTS: Overall, 1027 participants completed the survey (50% of surveys administered in English, 25% in Spanish, and 25% in Chinese). Only 50% of participants reported HBV screening. In multivariable analysis, Black (OR = 0.20, 95% CI 0.08-0.49), Latinx (OR = 0.33, 95% CI 0.13-0.85), Asian (OR = 0.31, 95% CI 0.10, 0.94), and 'Other' race/ethnicity (OR = 0.17, 95% CI 0.05-0.53) respondents had lower odds of HBV screening compared to non-Hispanic White respondents. Participants who had insurance had increased odds of HBV screening (OR = 2.70, 95% CI 1.48-4.93). CONCLUSIONS: HBV screening disparities persist for Black Americans, Asian Americans, Latinx, and the uninsured. Future studies should explore reasons why current strategies have not been implemented or are not successful, particularly in addressing racial/ethnic and insurance disparities.

Socioeconomic status and colorectal cancer screening behaviors in a vulnerable multiethnic population.

OBJECTIVE: Despite some progress in recent years, colorectal cancer (CRC) screening adherence in the United States is still suboptimal, particularly among disadvantaged groups. In this study, we assessed the association between socioeconomic status (SES) and self-reported screening non-adherence (SNA) in a sample of racial/ethnic minorities living in San Francisco, California. DESIGN/METHODS: A total of 376 participants of the San Francisco version of the Health Information National Trends Survey (SF-HINTS) with ages 50-75 years were included in this cross-sectional study. SNA was defined as not reporting blood stool test within the past year and not reporting sigmoidoscopy/colonoscopy within the past 10 years. Poisson regression models with robust variance estimators were used to evaluate the relation of SES with SNA, adjusting for measured confounders. Results are reported as prevalence ratios (PR) and 95% confidence intervals (95% CI). RESULTS: Overall SNA was 40%. In multivariable models including all respondents, retired participants had significantly lower SNA prevalence than employed participants (PR = 0.46, 95% CI = 0.26 0.83). In stratified analyses by race/ethnicity, Black respondents with less than high school (PR = 1.93, 95% CI = 1.09, 3.43) and those with high school or equivalent (PR = 1.88, 95% CI = 1.16, 3.04) had significantly higher SNA prevalence than those with at least some college. Among non-Hispanic Asian/Pacific Islanders, those disabled had significantly higher prevalence of SNA as compared to employed people (PR = 4.26, 95% CI = 2.11, 8.60). None of the SES indicators were significantly associated to SNA among Hispanics. CONCLUSIONS: Participants with lower SES characteristics were less likely to adhere to CRC screening guidelines and being retired was a predictor of compliance. There was evidence of heterogeneity in associations between SES and CRC screening by race/ethnicity. Life circumstances of retired people could provide insights for designing interventions aimed to improve CRC screening uptake in these priority groups. Future efforts should consider mechanisms underlying differences by race/ethnicity.

The Impact of the COVID-19 Pandemic on Internet Use and the Use of Digital Health Tools: Secondary Analysis of the 2020 Health Information National Trends Survey.

BACKGROUND: The COVID-19 pandemic increased the use of digital tools in health care (eg, patient portal, telemedicine, and web-based scheduling). Studies have shown that older individuals, racial/ethnic minority groups, or populations with lower educational attainment or income have lower rates of using digital health tools. Digitalization of health care may exacerbate already existing access barriers in these populations. OBJECTIVE: This study evaluated how use of digital tools to asynchronously communicate with clinicians, schedule appointments, and view medical records changed near the beginning of the pandemic. METHODS: Using 2020 Health Information National Trends Survey (HINTS) data, we examined internet use and 7 digital health technology use outcomes (electronic communication with a provider, electronic appointment scheduling, electronic test result viewing, patient portal access, portal use to download health records, portal use for patient-provider communication, and portal use to view test results). The HINTS surveyors designated surveys received after March 11, 2020, as postpandemic responses. Using weighted logistic regression, we investigated the impact of the pandemic after adjusting for sociodemographic traits (age, race/ethnicity, income, education, and gender), digital access (having ever used the internet and smartphone/tablet ownership), and health-related factors (insurance coverage, caregiver status, having a regular provider, and chronic diseases). To explore differences in changes in outcomes among key sociodemographic groups, we tested for significant interaction terms between the pandemic variable and race/ethnicity, age, income, and educational attainment. RESULTS: There were 3865 respondents (1437 prepandemic and 2428 postpandemic). Of the 8 outcomes investigated, the pandemic was only significantly associated with higher odds (adjusted odds ratio 1.99, 95% CI 1.18-3.35) of using electronic communication with a provider. There were significant interactions between the pandemic variable and 2 key sociodemographic traits. Relative to the lowest income group (

Catalyzing Navigation for Breast Cancer Survivorship (CaNBCS) in Safety-Net Settings: A Mixed Methods Study.

PURPOSE: The current number of breast cancer survivors (BCS) in the United States is approximately 3.8 million, and this number is further expected to increase with improvement in treatments. Survivorship care plans (SCPs) are patient-centered tools that are designed to meet cancer survivors' informational needs about their treatment history, recommended health care, and health maintenance. However, the data on SCP benefits remain uncertain, especially in low-income and racial and ethnic minority cancer survivors. Patient navigation is an effective intervention to improve patient adherence and experience of interdisciplinary breast cancer treatment. OBJECTIVES: This study sought to understand the role of lay patient navigators (LPN) in survivorship care planning for BCS in safety-net settings. METHODS: This study is a mixed methods pilot randomized clinical trial to understand the role of patient navigation in cancer survivorship care planning in a public hospital. We invited BCS who had completed active breast cancer treatment within 5 years. LPNs discussed survivorship care planning and survivorship care-related issues with BCS in the intervention arm over a 6-month intervention period and accompanied patients to their primary care appointment. LPNs also encouraged survivors to discuss health care issues with oncology and primary care providers. The primary objective was to assess BCS' health-related quality of life (HRQOL). The secondary objectives were self-efficacy and implementation. We assessed implementation with 45-60-min semi-structured interviews with 15 BCS recruited from the intervention arm and 60-min focus groups with the oncologists and separately with LPNs. RESULTS: We enrolled 40 patients, 20 randomized to usual care and 20 randomized to LPN navigation. We did not find a statistically significant difference between the two arms in HRQOL. There was also no difference in self-efficacy between the two arms. Qualitative analysis identified implementation barriers to intervention that may have contributed to less effective intervention. IMPLICATIONS FOR CANCER SURVIVORS: Future survivorship care planning interventions need to consider: Cancer survivors' needs and preferences, the need for dedicated resources, and the role of electronic health records in survivorship care plan delivery.

Human Immunodeficiency Virus Prevention for People Who Use Drugs: Overview of Reviews and the ICOS of PICOS.

BACKGROUND: This article summarizes the results from systematic reviews of human immunodeficiency virus (HIV) prevention interventions for people who use drugs (PWUD). We performed an overview of reviews, meta-analysis, meta-epidemiology, and PROSPERO Registration CRD42017070117. METHODS: We conducted a comprehensive systematic literature search using the Centers for Disease Control and Prevention HIV/AIDS Prevention Research Synthesis Project database to identify quantitative systematic reviews of HIV public heath interventions with PWUD published during 2002-2017. We recombined results of US studies across reviews to quantify effects on HIV infections, continuum of HIV care, sexual risk, and 5 drug-related outcomes (sharing injection equipment, injection frequency, opioid use, general drug use, and participation in drug treatment). We conducted summary meta-analyses separately for reviews of randomized controlled trials (RCTs) and quasi-experiments. We stratified effects by 5 intervention types: behavioral-psychosocial (BPS), syringe service programs (SSP), opioid agonist therapy (OAT), financial and scheduling incentives (FSI), and case management (CM). RESULTS: We identified 16 eligible reviews including >140 US studies with >55 000 participants. Summary effects among US studies were significant and favorable for 4 of 5 outcomes measured under RCT (eg, reduced opioid use; odds ratio [OR] = 0.70, confidence interval [CI] = 0.56-0.89) and all 6 outcomes under quasi-experiments (eg, reduced HIV infection [OR = 0.42, CI = 0.27-0.63]; favorable continuum of HIV care [OR = 0.68, CI = 0.53-0.88]). Each intervention type showed effectiveness on 1-6 outcomes. Heterogeneity was moderate to none for RCT but moderate to high for quasi-experiments. CONCLUSIONS: Behavioral-psychosocial, SSP, OAT, FSI, and CM interventions are effective in reducing risk of HIV and sequelae of injection and other drug use, and they have a continuing role in addressing the opioid crisis and Ending the HIV Epidemic.

Factors associated with biomedical research participation within community-based samples across 3 National Cancer Institute-designated cancer centers.

BACKGROUND: Engaging diverse populations in biomedical research, including biospecimen donation, remains a national challenge. This study examined factors associated with an invitation to participate in biomedical research, intent to participate in biomedical research in the future, and participation in biomedical research and biospecimen donation among a diverse, multilingual, community-based sample across 3 distinct geographic areas. METHODS: Three National Cancer Institute-designated cancer centers engaged in community partnerships to develop and implement population health assessments, reaching a convenience sample of 4343 participants spanning their respective catchment areas. Data harmonization, multiple imputation, and multivariable logistic modeling were used. RESULTS: African Americans, Hispanic/Latinos, and other racial minority groups were more likely to be offered opportunities to participate in biomedical research compared to whites. Access to care, history of cancer, educational level, survey language, nativity, and rural residence also influenced opportunity, intent, and actual participation in biomedical research. CONCLUSIONS: Traditionally underserved racial and ethnic groups reported heightened opportunity and interest in participating in biomedical research. Well-established community partnerships and long-standing community engagement around biomedical research led to a diverse sample being reached at each site and may in part explain the current study findings. However, this study illustrates an ongoing need to establish trust and diversify biomedical research participation through innovative and tailored approaches. National Cancer Institute-designated cancer centers have the potential to increase opportunities for diverse participation in biomedical research through community partnerships and engagement. Additional work remains to identify and address system-level and individual-level barriers to participation in both clinical trials and biospecimen donation for research.

The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey.

BACKGROUND: Technology is being increasingly used to communicate health information, but there is limited knowledge on whether these strategies are effective for vulnerable populations, including non-English speaking or low-income individuals. OBJECTIVE: This study assessed how language preferences (eg, English, Spanish, or Chinese), smartphone ownership, and the type of clinic for usual source of care (eg, no usual source of care, nonintegrated safety net, integrated safety net, private or community clinic, academic tertiary medical center, or integrated payer-provider) affect technology use for health-related communication. METHODS: From May to September 2017, we administered a nonrandom, targeted survey to 1027 English-, Spanish-, and Chinese-speaking San Francisco residents and used weighted multivariable logistic regression analyses to assess predictors of five technology use outcomes. The three primary predictors of interest-language preference, smartphone ownership, and type of clinic for usual care-were adjusted for age, gender, race or ethnicity, limited English proficiency, educational attainment, health literacy, and health status. Three outcomes focused on use of email, SMS text message, or phone apps to communicate with clinicians. The two other outcomes were use of Web-based health videos or online health support groups. RESULTS: Nearly one-third of participants watched Web-based health videos (367/1027, 35.74%) or used emails to communicate with their clinician (318/1027, 30.96%). In adjusted analyses, individuals without smartphones had significantly lower odds of texting their clinician (adjusted odds ratio [aOR] 0.27, 95% CI 0.13-0.56), using online health support groups (aOR 0.14, 95% CI 0.04-0.55), or watching Web-based health videos (aOR 0.31, 95% CI 0.15-0.64). Relative to English-speaking survey respondents, individuals who preferred Chinese had lower odds of texting their clinician (aOR 0.25, 95% CI 0.08-0.79), whereas Spanish-speaking survey respondents had lower odds of using apps to communicate with clinicians (aOR 0.34, 95% CI 0.16-0.75) or joining an online support group (aOR 0.30, 95% CI 0.10-0.92). Respondents who received care from a clinic affiliated with the integrated safety net, academic tertiary medical center, or integrated payer-provider systems had higher odds than individuals without a usual source of care at using emails, SMS text messages, or apps to communicate with clinicians. CONCLUSIONS: In vulnerable populations, smartphone ownership increases the use of many forms of technology for health purposes, but device ownership itself is not sufficient to increase the use of all technologies for communicating with clinicians. Language preference impacts the use of technology for health purposes even after considering English proficiency. Health system factors impact patients' use of technology-enabled approaches for communicating with clinicians. No single factor was associated with higher odds of using technology for all health purposes; therefore, existing disparities in the use of digital health tools among diverse and vulnerable populations can only be addressed using a multipronged approach.

Health Information-seeking Behaviors and Preferences of a Diverse, Multilingual Urban Cohort.

INTRODUCTION: In order to address health disparities, it is important to understand how vulnerable individuals seek information. This study used an adapted version of the Health Information National Trends Survey (HINTS) administered in English, Spanish, and Chinese to describe the behaviors and preferences of a diverse group of vulnerable urban residents. METHODS: We administered a modified HINTS survey in English, Spanish, and Chinese and used purposive sampling to ensure 50% were non-English speakers evenly divided between Spanish and Chinese speakers, and 50% of English-speakers identified as Black. We used multivariable logistic regression to determine characteristics associated with sources used for health information and preferences for delivery of health information. RESULTS: Among 1027survey respondents (514 English, 256 Spanish, 260 Chinese), 55% had adequate health literacy, and 50% reported household income <$20,000, but 77% reported owning a smartphone. A plurality sought health information on the Internet (39%) or from a health care provider (36%). In multivariable analyses, smartphone ownership predicted higher odds of seeking health information on the Internet [odds ratio, (OR) 2.98; 95% confidence interval (CI), 1.81-4.91]. Participants most preferred email (41%) and brochures (40%) for delivery of health information, but non-English survey respondents were less likely to prefer email: Spanish (OR, 0.30; 95% CI, 0.11-0.83) and Chinese (OR, 0.25; 95% CI, 0.09-0.71). Smartphone ownership predicted an email preference (OR, 2.19; 95% CI, 1.43-3.36). CONCLUSIONS: Among vulnerable populations, smartphone ownership and language preferences impact preferences for seeking and receiving health information. These preferences need to be considered in designing health messages.

Social Media as a Tool to Promote Health Awareness: Results from an Online Cervical Cancer Prevention Study.

Online social media platforms represent a promising opportunity for public health promotion. Research is limited, however, on the effectiveness of social media at improving knowledge and awareness of health topics and motivating healthy behavior change. Therefore, we investigated whether participation in an online social media platform and receipt of brief, tailored messages is effective at increasing knowledge, awareness, and prevention behaviors related to human papillomavirus (HPV) and cervical cancer. We conducted an online study in which 782 recruited participants were consecutively assigned to nine-person groups on a social media platform. Participants were shown a unique random set of 20 tailored messages per day over five days. Participants completed a baseline and post survey to assess their knowledge, awareness, and prevention behaviors related to HPV and cervical cancer. There were no statistically significant changes in knowledge and prevention behaviors from the baseline to the post survey among study participants. There was a modest, statistically significant change in response to whether participants had ever heard of HPV, increasing from 90 to 94% (p = 0.003). Our findings suggest that most study participants had substantial knowledge, awareness, and engagement in positive behaviors related to cervical cancer prevention at the start of the study. Nevertheless, we found that HPV awareness can be increased through brief participation in an online social media platform and receipt of tailored health messages. Further investigation that explores how social media can be used to improve knowledge and adoption of healthy behaviors related to cervical cancer is warranted.

Decline in semen parameters from 2000 to 2016 among Bangladeshi men attending a tertiary care hospital.

INTRODUCTION: The objective of this study was to analyze longitudinal changes in sperm parameters of Bangladeshi men. We hypothesized that semen parameters declined for this population. METHODS: We retrospectively analyzed semen data from men aged 18-64 years who sought care for general sperm quality or updates on fertility status at an infertility clinic in Dhaka, Bangladesh, from January 2000 to June 2016 (n = 13,953). Samples with incomplete data were excluded (n = 143). The WHO normal criteria and semen analysis procedures were used to evaluate parameters of the remaining 13,810 specimens. Samples with missing values on sperm concentration (n = 6187) were excluded from concentration analyses. Age and duration of abstinence at testing were recorded and adjusted for. Data were imported into SAS® 9.4 statistical software. Temporal significance was investigated using one-way ANOVA for motility parameters and Chi-square test for raw concentration. Logistic regression analyzed the effects of confounders on azoospermia and raw concentration, while median regression modeling adjusted confounders for concentration, total motility, and rapid linear (RL) motility. RESULTS: Age distribution was significantly correlated with annual parameter changes (concentration, total motility, and RL motility [P < 0.0001]). Adjusted total motility and RL motility declined by 20% from their maximum values to end of the study (P < 0.0001). Raw concentration lacked clear trends and was unaffected by adjustment. Azoospermia increased by 18% between the 2000-2010 and 2011-2016 participants (odds ratio = 0.16 [0.14-0.16]). CONCLUSION: In agreement with the hypothesis, Bangladeshi males attending this clinic have experienced decline in semen parameters (total motility and RL motility) and increased frequency of azoospermia.

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.

Diagnostic Trajectories in Primary Care at 12 Months: An Observational Cohort Study.

BACKGROUND: Little is known about the epidemiology of diagnosis in primary care. METHODS: A prospective observational cohort study was conducted of adults presenting between August and December 2018 to primary care clinics across two health systems with an undiagnosed medical problem. Primary outcomes were (1) likelihood of a definitive diagnosis by 12 months and (2) time to diagnosis. Multivariate logistic regression was used to assess for factors associated with the likelihood of reaching a diagnosis, and multivariable Cox regression was used to assess for factors associated with time to diagnosis. Bivariate models were used to explore unadjusted relationships between the cases' organ systems and likelihood of and time to diagnosis. RESULTS: Among 410 cases in a diverse patient population, 206 (50.2%) reached a final diagnosis within 12 months, with a median time to diagnosis of 5 days (interquartile range = 0-46). Among these cases, 32.4% reached a diagnosis within the first month. A majority of cases not diagnosed within a month of the first presentation remained undiagnosed at 12 months. The likelihood of diagnosis and time to diagnosis did not differ by clinician or patient characteristics, clinicians' level of diagnostic uncertainty, chronicity of the medical issue, or visit type. There were no significant associations between organ system and likelihood of time to diagnosis. CONCLUSION: Patients presenting with new or unresolved problems in ambulatory primary care often remain undiagnosed after a year. There were no provider or patient-level variables associated with such lack of diagnosis. The causes, contributors, and consequences of lack of timely diagnosis and potential solutions require further research.

Multispecialty Physician Online Survey Reveals That Burnout Related to Adverse Event Involvement May Be Mitigated by Peer Support.

OBJECTIVES: Involvement in adverse events can negatively impact physician well-being. Because burnout is increasingly recognized as a threat to patient safety, we examined the relationship between physician adverse event involvement and burnout as well as facilitators and barriers to support among physicians experiencing burnout. METHODS: We surveyed physicians in the United States who are members of the networking platform, Doximity. We conducted quantitative and qualitative analyses investigating experiences with adverse events, the impact of adverse events, the type of support the physician sought and received after the event, and burnout. RESULTS: Across specialties, involvement in an adverse event and burnout was common. Most respondents involved in an adverse event experienced emotional impact, but only a minority received support. Those reporting that the error resulted in emotional impact were more likely to experience burnout (adjusted odds ratio, 1.90; 95% confidence interval, 1.18-3.07); this association was mitigated by the most common form of support sought, peer support (adjusted odds ratio for burnout among those who received peer support versus those who did not, 0.65; 95% confidence interval, 0.52-0.82). Barriers to support after an adverse event include punitive culture and systems factors such as administrative bureaucracy. Facilitators that emerged include peer, professional, and spiritual support, mentorship, helping others, the learning environment, and improved/flexible working hours. CONCLUSIONS: Physicians who experienced emotional repercussions from adverse events were more likely to report burnout compared with those who did not. Respondents proposed barriers and facilitators to support that have not been widely implemented. Peer support may help mitigate physician burnout related to adverse events.

Cancer Risk Behaviors, Cancer Beliefs, and Health Information Seeking Among Under-Represented Populations in San Francisco: Differences by Sexual Orientation and Gender Identity.

Purpose: Sexual and gender minority (SGM) individuals in the United States are at increased risk of cancer compared to the non-SGM population. Understanding how SGM persons perceive cancer risk and their practices and preferences for accessing health information is key for improving the preventive and health care services they receive. Methods: In this cross-sectional study, we analyzed data from the San Francisco Health Information National Trends Survey. SGM individuals were identified by self-report. Differences in cancer risk factors, cancer beliefs, and health information seeking were evaluated by SGM status using multivariable logistic regression models. Results: Out of 1027 participants, 130 (13%) reported being SGM individuals. Current smoking (odds ratio [OR]=1.93, 95% confidence interval [CI]=1.24-3.01) and alcohol use (OR=1.69, 95% CI=1.10-2.59) were more common among SGM persons than among non-SGM persons. No differences by SGM status were observed in health information seeking behaviors, preferences, and cancer beliefs, but SGM participants reported significantly higher odds of feeling frustrated (OR=1.78, 95% CI=1.20-2.64) and having concerns about the quality of the information (OR=1.54, 95% CI=1.03-2.31) during their most recent health information search. Conclusions: Intervention efforts aimed at SGM individuals with current use of tobacco and/or alcohol should be expanded. SGM communities also need improved access to consistent, reliable, and accurate sources of health information. Their increased frustration when seeking health information and concerns about the quality of the information they find have important implications for SGM health and care, and the drivers of these differences merit further evaluation.

Impact of language preference and health literacy on health information-seeking experiences among a low-income, multilingual cohort.

OBJECTIVE: We examined the impact of language preference and health literacy on health information-seeking experiences in a multilingual, low-income cohort. METHODS: We administered a modified Health Information National Trends Survey in English, Spanish, and Chinese to a sample of San Francisco city/county residents. Using multivariable logistic regression analyses, we assessed how language and health literacy impact health information-seeking experiences (confidence, effort, frustration, quality concerns, and difficulty understanding information), adjusting for age, gender, race/ethnicity, education, usual place of care, health status, information-seeking behaviors, and smartphone ownership. RESULTS: Of 1000 participants (487 English-speaking, 256 Spanish-speaking, 257 Chinese-speaking), 820 (82%) reported at least one negative health information-seeking experience. Chinese-language was associated with frustration (aOR = 2.56; 1.12-5.86). Difficulty understanding information was more likely in Spanish-language respondents (aOR = 3.58; 1.25-10.24). Participants with limited health literacy reported more effort (aOR = 1.97; 1.22-3.17), frustration (aOR = 2.09; 1.28-3.43), concern about quality (aOR = 2.72; 1.60-4.61), and difficulty understanding information (aOR = 2.53; 1.58-4.05). Language and literacy impacted confidence only in the interaction term between Chinese-speakers and health literacy. CONCLUSION: We found that negative health information-seeking experiences were common in non-English speaking populations those with limited health literacy. PRACTICE IMPLICATIONS: Health communication efforts should consider both language preference and health literacy to ensure accessibility for all patients.

System-Level Factors Associated With Telephone and Video Visit Use: Survey of Safety-Net Clinicians During the Early Phase of the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic prompted safety-net health care systems to rapidly implement telemedicine services with little prior experience, causing disparities in access to virtual visits. While much attention has been given to patient barriers, less is known regarding system-level factors influencing telephone versus video-visit adoption. As telemedicine remains a preferred service for patients and providers, and reimbursement parity will not continue for audio visits, health systems must evaluate how to support higher-quality video visit access. OBJECTIVE: This study aimed to assess health system-level factors and their impact on telephone and video visit adoption to inform sustainability of telemedicine for ambulatory safety-net sites. METHODS: We conducted a cross-sectional survey among ambulatory care clinicians at a hospital-linked ambulatory clinic network serving a diverse, publicly insured patient population between May 28 and July 14, 2020. We conducted bivariate analyses assessing health care system-level factors associated with (1) high telephone adoption (4 or more visits on average per session); and (2) video visit adoption (at least 1 video visit on average per session). RESULTS: We collected 311 responses from 643 eligible clinicians, yielding a response rate of 48.4%. Clinician respondents (N=311) included 34.7% (n=108) primary or urgent care, 35.1% (n=109) medical, and 7.4% (n=23) surgical specialties. Our sample included 178 (57.2%) high telephone adopters and 81 (26.05%) video adopters. Among high telephone adopters, 72.2% utilized personal devices for telemedicine (vs 59.0% of low telephone adopters, P=.04). Video nonadopters requested more training in technical aspects than adopters (49.6% vs 27.2%, P<.001). Primary or urgent care had the highest proportion of high telephone adoption (84.3%, compared to 50.4% of medical and 37.5% of surgical specialties, P<.001). Medical specialties had the highest proportion of video adoption (39.1%, compared to 14.8% of primary care and 12.5% of surgical specialties, P<.001). CONCLUSIONS: Personal device access and department specialty were major factors associated with high telephone and video visit adoption among safety-net clinicians. Desire for training was associated with lower video visit use. Secure device access, clinician technical trainings, and department-wide assessments are priorities for safety-net systems implementing telemedicine.

Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses.

Mobile health (mHealth) technologies improve hypertension outcomes, but it is unknown if this benefit applies to all populations. This review aimed to describe the impact of mHealth interventions on blood pressure outcomes in populations with disparities in digital health use. We conducted a systematic search to identify studies with systolic blood pressure (SBP) outcomes located in urban settings in high-income countries that included a digital health disparity population, defined as mean age ≥65 years; lower educational attainment (≥60% ≤high school education); and/or racial/ethnic minority (<50% non-Hispanic White for US studies). Interventions were categorized using an established self-management taxonomy. We conducted a narrative synthesis; among randomized clinical trials (RCTs) with a six-month SBP outcome, we conducted random-effects meta-analyses. Twenty-nine articles (representing 25 studies) were included, of which 15 were RCTs. Fifteen studies used text messaging; twelve used mobile applications. Studies were included based on race/ethnicity (14), education (10), and/or age (6). Common intervention components were: lifestyle advice (20); provision of self-monitoring equipment (17); and training on digital device use (15). In the meta-analyses of seven RCTs, SBP reduction at 6-months in the intervention group (mean SBP difference = -4.10, 95% CI: [-6.38, -1.83]) was significant, but there was no significant difference in SBP change between the intervention and control groups (p = 0.48). The use of mHealth tools has shown promise for chronic disease management but few studies have included older, limited educational attainment, or minority populations. Additional robust studies with these populations are needed to determine what interventions work best for diverse hypertensive patients.

Impact of digitally acquired peer diagnostic input on diagnostic confidence in outpatient cases: A pragmatic randomized trial.

OBJECTIVE: The study sought to evaluate if peer input on outpatient cases impacted diagnostic confidence. MATERIALS AND METHODS: This randomized trial of a peer input intervention occurred among 28 clinicians with case-level randomization. Encounters with diagnostic uncertainty were entered onto a digital platform to collect input from ≥5 clinicians. The primary outcome was diagnostic confidence. We used mixed-effects logistic regression analyses to assess for intervention impact on diagnostic confidence. RESULTS: Among the 509 cases (255 control; 254 intervention), the intervention did not impact confidence (odds ratio [OR], 1.46; 95% confidence interval [CI], 0.999-2.12), but after adjusting for clinician and case traits, the intervention was associated with higher confidence (OR, 1.53; 95% CI, 1.01-2.32). The intervention impact was greater in cases with high uncertainty (OR, 3.23; 95% CI, 1.09- 9.52). CONCLUSIONS: Peer input increased diagnostic confidence primarily in high-uncertainty cases, consistent with findings that clinicians desire input primarily in cases with continued uncertainty.