Telemedicine Versus In-Person Primary Care: Treatment and Follow-up Visits.

BACKGROUND: Beyond initial COVID-19 pandemic emergency expansions of telemedicine use, it is unclear how well primary care telemedicine addresses patients' needs. OBJECTIVE: To compare treatment and follow-up visits (office, emergency department, hospitalization) between primary care video or telephone telemedicine and in-person office visits. DESIGN: Retrospective design based on administrative and electronic health record (EHR) data. SETTING: Large, integrated health care delivery system with more than 1300 primary care providers, between April 2021 and December 2021 (including the COVID-19 pandemic Delta wave). PATIENTS: 1 589 014 adult patients; 26.5% were aged 65 years or older, 54.9% were female, 22.2% were Asian, 7.4% were Black, 22.3% were Hispanic, 46.5% were White, 21.5% lived in neighborhoods with lower socioeconomic status, and 31.8% had a chronic health condition. MEASUREMENTS: Treatment outcomes included medication or antibiotic prescribing and laboratory or imaging ordering. Follow-up visits included in-person visits to the primary care office or emergency department or hospitalization within 7 days. Outcomes were adjusted for sociodemographic and clinical characteristics overall and stratified by clinical area (abdominal pain, gastrointestinal concerns, back pain, dermatologic concerns, musculoskeletal pain, routine care, hypertension or diabetes, and mental health). RESULTS: Of 2 357 598 primary care visits, 50.8% used telemedicine (19.5% video and 31.3% telephone). After adjustment, medications were prescribed in 46.8% of office visits, 38.4% of video visits, and 34.6% of telephone visits. After the visit, 1.3% of in-person visits, 6.2% of video visits, and 7.6% of telephone visits had a 7-day return in-person primary care visit; 1.6% of in-person visits, 1.8% of video visits, and 2.1% of telephone visits were followed by an emergency department visit. Differences in follow-up office visits were largest after index office versus telephone visits for acute pain conditions and smallest for mental health. LIMITATIONS: In the study setting, telemedicine is fully integrated with ongoing EHRs and with clinicians, and the study examines an insured population during the late COVID-19 pandemic period. Observational comparison lacks detailed severity or symptom measures. Follow-up was limited to 7 days. Clinical area categorization uses diagnosis code rather than symptom. CONCLUSION: In-person return visits were somewhat higher after telemedicine compared with in-person primary care visits but varied by specific clinical condition. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

Patient-reported Primary Care Video and Telephone Telemedicine Preference Shifts During the COVID-19 Pandemic.

BACKGROUND: Patient perceptions of primary care telephone and video telemedicine and whether COVID-19 pandemic-related telemedicine exposure shifted patients' visit preference is unknown. OBJECTIVES: We examined patient surveys to understand the health care experience of patients seeking primary care through telemedicine and how patients expected their preferences to shift as a result of the COVID-19 pandemic. RESEARCH DESIGN/SUBJECTS: In an integrated delivery system that shifted to a "telemedicine-first" health care model during the COVID-19 pandemic, we sampled monthly and collected 1000 surveys from adults with primary care telemedicine visits scheduled through the online patient portal between 3/16/2020 and 10/31/2020. MEASURES: Participants reported their preferred primary care visit modality (telephone, video, or in-person visits) across 3 time points: before, during and (hypothetically) after the COVID-19 pandemic, and reported their general assessment of primary care visits during the pandemic. RESULTS: The majority of participants preferred in-person visits before (69%) and after the COVID-19 pandemic (57%). However, most participants reported a preference for telemedicine visits during the pandemic and continue to prefer telemedicine visits at a 12% higher rate post-pandemic. Many participants (63%) expressed interest in using telemedicine at least some of the time. Among participants reporting a recent telemedicine visit, 85% agreed that the visit addressed their health needs. CONCLUSION: As primary care visit modality preferences continue to evolve, patients anticipate that they will continue to prefer telemedicine visits, both video and telephone, at an increased rate than before the COVID-19 pandemic.

Racial and Ethnic Differences in Medication Initiation Among Adults Newly Diagnosed with Type 2 Diabetes.

OBJECTIVE: Given persistent racial/ethnic differences in type 2 diabetes outcomes and the lasting benefits conferred by early glycemic control, we examined racial/ethnic differences in diabetes medication initiation during the year following diagnosis. METHODS: Among adults newly diagnosed with type 2 diabetes (2005-2016), we examined how glucose-lowering medication initiation differed by race/ethnicity during the year following diagnosis. We specified modified Poisson regression models to estimate the association between race/ethnicity and medication initiation in the entire cohort and within subpopulations defined by HbA1c, BMI, age at diagnosis, comorbidity, and neighborhood deprivation index (a census tract-level socioeconomic indicator). RESULTS: Among the 77,199 newly diagnosed individuals, 47% started a diabetes medication within 12 months of diagnosis. The prevalence of medication initiation ranged from 32% among Chinese individuals to 58% among individuals of Other/Unknown races/ethnicities. Compared to White individuals, medication initiation was less likely among Chinese (relative risk: 0.78 (95% confidence interval 0.72, 0.84)) and Japanese (0.82 (0.75, 0.90)) individuals, but was more likely among Hispanic/Latinx (1.27 (1.24, 1.30)), African American (1.14 (1.11, 1.17)), other Asian (1.13 (1.08, 1.18)), South Asian (1.10 (1.04, 1.17)), Other/Unknown (1.31 (1.24, 1.39)), American Indian or Alaska Native (1.11 (1.04, 1.18)), and Native Hawaiian/Pacific Islander (1.28 (1.19, 1.37)) individuals. Racial/ethnic differences dissipated among individuals with higher HbA1c values. CONCLUSIONS: Initiation of glucose-lowering treatment during the year following type 2 diabetes diagnosis differed markedly by race/ethnicity, particularly for those with lower HbA1c values. Future research should examine how patient preferences, provider implicit bias, and shared decision-making contribute to these early treatment differences.

Cross-Sectional Association of Patient Language and Patient-Provider Language Concordance with Video Telemedicine Use Among Patients with Limited English Proficiency.

BACKGROUND: Telemedicine's dramatic increase during the COVID-19 pandemic elevates the importance of addressing patient-care gaps in telemedicine, especially for patients with limited English proficiency. OBJECTIVE: To examine the associations of patient language and patient-provider language concordance with telemedicine visit type (video versus telephone visit). DESIGN: Cross-sectional automated data study of patient-scheduled primary care telemedicine appointments from March 16, 2020, to October 31, 2020. SETTING: Northern California integrated healthcare delivery system. PARTICIPANTS: All 22,427 completed primary care telemedicine visits scheduled by 13,764 patients with limited English proficiency via the patient portal. MEASUREMENTS: Cross-sectional association of electronic health record-documented patient language (Spanish as referent) and patient-provider language concordance with patients' choice of a video (versus telephone) visit, accounting for patient sociodemographics, technology access, and technology familiarity factors. RESULTS: Of all patient-scheduled visits, 34.5% (n = 7747) were video visits. The top three patient languages were Spanish (42.4%), Cantonese (16.9%), and Mandarin (10.3%). Adjusting for sociodemographic and technology access and familiarity factors and compared to patients speaking Spanish, video visit use was higher among patients speaking Cantonese (OR = 1.34, 95% CI: 1.18-1.52), Mandarin (OR = 1.33, 95% CI: 1.16-1.52), or Vietnamese (OR = 1.27, 95% CI: 1.09-1.47), but lower among patients speaking Punjabi (OR = 0.75, 95% CI: 0.75, 0.62-0.91). Language concordance was associated with lower video visit use (OR = 0.86, 95% CI: 0.80-0.93) and moderated associations of speaking Spanish, Cantonese, and Korean with video visit use. In addition, for all language groups, those with prior video visit use were more likely to re-use video visits compared to those with no prior use (p < .05 for all languages except Hindi with p = 0.06). CONCLUSIONS: Among linguistically diverse patients with limited English proficiency, video telemedicine use differed by specific language. Disaggregating patient subpopulation data is necessary for identifying those at greatest risk of being negatively impacted by the digital divide.

The association between video or telephone telemedicine visit type and orders in primary care.

INTRODUCTION: Telemedicine is increasingly relied upon for care delivery in primary care, but the impact of visit type on clinical ordering behavior is uncertain. METHODS: Within Kaiser Permanente Northern California, we identified patients who self-scheduled and completed telemedicine encounters with their personal primary care provider or another available primary care provider in the same medical group, between April 1st, 2020, and October 31st, 2020, while physical distancing restrictions for COVID-19 were in place. We collected patient sociodemographic and clinical characteristics, measures of technology access, and categorized the most common primary encounter diagnoses. We measured proportions of patient-scheduled video versus telephone visits for each of eight diagnosis groups (Skin & Soft Tissue, Musculoskeletal Pain, Back Pain, General Gastrointestinal, Hypertension & Diabetes, Mental Health, Upper Respiratory, and Abdominal Pain), and compared physician orders for medications, antibiotics, lab and imaging studies by visit type within each diagnosis group. RESULTS: There were 273,301 included encounters, with 86,676 (41.5%) video visits and 122,051 (58.5%) telephone visits. Of the diagnosis groups, Skin & Soft Tissue conditions had the highest proportion of video visits (59.7%), while Mental Health conditions had the highest proportion of telephone visits (71.1%). After adjusting for covariates, the overall rates of medication orders (46.6% vs. 44.5%), imaging orders (17.3% vs. 14.9%), lab orders (19.5% vs. 17.2%), and antibiotic orders (7.5% vs. 5.2%) were higher during video visits as compared to telephone visits (p < 0.05). The largest difference within diagnosis groups was for Skin & Soft Tissue conditions, where the rate of medication orders was 9.1% higher than during video visits than telephone visits (45.5% vs. 36.5%, p < 0.05). CONCLUSIONS: We observed statistically significant differences in clinician orders by visit type during telemedicine encounters for common primary care conditions. Our findings suggest that, for certain conditions, visual information conveyed during video visits may promote clinical work-up and treatment.

Primary Care Visits Are Timelier When Patients Choose Telemedicine: A Cross-Sectional Observational Study.

Introduction: Telemedicine could increase timely access to primary care-a key dimension of care quality. Methods: Among patient-scheduled appointments with their own primary care providers using the online portal in a large integrated health care delivery system, we measured the association between visit type (telemedicine or in-person) and appointment timeliness. We calculated the calendar days between the scheduling date and the actual appointment time. Results: Overall, 2,178,440 primary care visits were scheduled and 14% were done through telemedicine. The mean calendar days between the scheduling and the appointment time were 1.80 for telephone visits, 2.29 for video visits, and 3.52 for in-person visits. After multivariate adjustment, 66.61% (confidence interval [95% CI]: 66.44-66.79) of telephone visits, 56.58% (95% CI: 55.90-57.27) of video visits, and 46.49% (95% CI: 46.42-46.57) of in-person visits were scheduled to occur within 1 day of making the appointment. Conclusions: In a setting with comparable in-person and telemedicine scheduling availability, choosing telemedicine was associated with more timely access to primary care.

Disclosure of New Type 2 Diabetes Diagnoses to Younger Adults: a Qualitative Study.

BACKGROUND: Adults diagnosed with type 2 diabetes at a younger age are at increased risk for poor outcomes. Yet, little is known about the early experiences of these individuals, starting with communication of the diagnosis. Addressing this knowledge gap is important as this initial interaction may shape subsequent disease-related perceptions and self-management. OBJECTIVE: We examined diagnosis disclosure experiences and initial reactions among younger adults with newly diagnosed type 2 diabetes. PARTICIPANTS: Purposive sample of adult members of Kaiser Permanente Northern California, an integrated healthcare delivery system, diagnosed with type 2 diabetes before age 45 years. APPROACH: We conducted six focus groups between November 2017 and May 2018. Transcribed audio recordings were coded by two coders using thematic analysis. KEY RESULTS: Participants (n = 41) were 38.4 (± 5.8) years of age; 10 self-identified as Latinx, 12 as Black, 12 as White, and 7 as multiple or other races. We identified variation in diagnosis disclosure experiences, centered on four key domains: (1) participants' sense of preparedness for diagnosis (ranging from expectant to surprised); (2) disclosure setting (including in-person, via phone, via secure message, or via review of results online); (3) perceived provider tone (from nonchalant, to overly fear-centered, to supportive); and (4) participants' emotional reactions to receiving the diagnosis (including acceptance, denial, guilt, and/or fear, rooted in personal and family experience). CONCLUSIONS: For younger adults, the experience of receiving a diabetes diagnosis varies greatly. Given the long-term consequences of inadequately managed diabetes and the need for early disease control, effective initial disclosure represents an opportunity to optimize initial care. Our results suggest several opportunities to improve the type 2 diabetes disclosure experience: (1) providing pre-test counseling, (2) identifying patient-preferred settings for receiving the news, and (3) developing initial care strategies that acknowledge and address the emotional distress triggered by this life-altering, chronic disease diagnosis.

Testing patient-informed approaches for visually depicting the hemoglobin A1c value to patients with poorly controlled diabetes: a randomized, controlled trial.

BACKGROUND: Patients' understanding of the hemoglobin A1c (HbA1c) has been linked to better diabetes care outcomes (glycemic control, self-care). This is concerning given low documented rates of HbA1c understanding. In this non-blinded, randomized trial, we compared two formats for communicating the HbA1c, selected based on input from people with diabetes, to standard presentation to assess their impact on participants' glycemic control and diabetes-related perceptions. METHODS: To design the tested formats, we interviewed 25 patients with diabetes and reviewed a range of possible formats, including color-based scales and graphs. The interviews were recorded, transcribed, and subjected to thematic analysis. Synthesizing interviewees' feedback, we selected two formats, one using a combination of words and colors (Words) and one using a color-coded graph (Graph), for further evaluation. We then randomized adults with poorly controlled diabetes to receive mailed information on their current diabetes control in one of three ways: 1) standard lab report (control), 2) Words format, or 3) Graph format. The primary outcome was HbA1c change at 6 months. Also examined were changes in participants' diabetes-related perceptions and choice of participation incentive. RESULTS: Of the 234 enrolled participants, 76.9% were Black, and their median baseline HbA1c was 9.1% (interquartile range 8.4-10.4). There were no between-arm differences in HbA1c change (- 1.04% [SD 2.2] Control vs. -0.59% [SD 2.0] Words vs. -0.54% [SD 2.1] Graph, p > 0.05 for all comparisons). Participants in the Words arm had an increase in the accuracy of their perceptions of diabetes seriousness (p = 0.04) and in the number of participants reporting a diabetes management goal (p = 0.01). CONCLUSIONS: The two patient-informed communication formats did not differentially impact glycemic control among adults with inadequately controlled diabetes. However, a significant proportion of participants in the Words arm had an increase in the accuracy of their perception of diabetes seriousness, a potential mediating factor in positive diabetes-related behavioral changes. With increasing use of patient-facing online portals, thoughtfully designed approaches for visually communicating essential, but poorly understood, information like the HbA1c to patients have the potential to facilitate interpretation and support self-management. CLINICAL TRIAL REGISTRATION: Prospectively registered as NCT01886170.

Use of financial incentives and text message feedback to increase healthy food purchases in a grocery store cash back program: a randomized controlled trial.

BACKGROUND: The HealthyFood (HF) program offers members up to 25% cash back monthly on healthy food purchases. In this randomized controlled trial, we tested the efficacy of financial incentives combined with text messages in increasing healthy food purchases among HF members. METHODS: Members receiving the lowest (10%) cash back level were randomized to one of six arms: Arm 1 (Usual Care): 10% cash back, no weekly text, standard monthly text; Arm 2: 10% cash back, generic weekly text, standard monthly text; Arm 3: 10% cash back, personalized weekly text, standard monthly text; Arm 4: 25% cash back, personalized weekly text, standard monthly text; Arm 5: 10 + 15%NET cash back, personalized weekly text, standard monthly text; and, Arm 6: 10 + 15%NET cash back, personalized weekly text, unbundled monthly text. In the 10 + 15%NET cash back, the cash back amount was the baseline 10% plus 15% of the net difference between healthy and unhealthy spending. The generic text included information on HF and healthy eating, while the personalized text had individualized feedback on purchases. The standard monthly text contained the cash back amount. The unbundled monthly text included the amount lost due to unhealthy purchases. The primary outcome was the average monthly percent healthy food spending. Secondary outcomes were the percent unhealthy food spending, and the percent healthy and unhealthy food items. RESULTS: Of the members contacted, 20 opted out, and 2841 met all inclusion criteria. There were no between-arm differences in the examined outcomes. The largest mean (standard deviation) difference in percent healthy spending was between Arm 1 (24.8% [11%]) and Arm 2 (26.8% [13%]), and the largest mean difference in percent unhealthy spending was also between Arm 1 (24.4% [20%]) and Arm 2 (21.7% [17%]), but no differences were statistically significant after correction for multiple comparisons. CONCLUSIONS: None of the tested financial incentive structures or text strategies differentially affected food purchasing. Notably, more than doubling the cash back amount and introducing a financial disincentive for unhealthy purchases did not affect purchasing. These findings speak to the difficulty of changing shopping habits and to the need for innovative strategies to shift complex health behaviors. TRIAL REGISTRATION: NCT02486588 Increasing Engagement with a Healthy Food Benefit. The trial was prospectively registered on July 1, 2015.

Exploring how patients understand and assess their diabetes control.

BACKGROUND: Poor understanding of diabetes management targets is associated with worse disease outcomes. Patients may use different information than providers to assess their diabetes control. In this study, we identify the information patients use to gauge their current level of diabetes control and explore patient-perceived barriers to understanding the hemoglobin A1c value (HbA1c). METHODS: Adults who self-reported a diagnosis of diabetes were recruited from outpatient, academically-affiliated, Internal Medicine clinics. Semi-structured interviews were conducted with participants and collected data were analyzed using thematic analysis. RESULTS: The mean age of the 25 participants was 56.8 years. HbA1c was one of several types of information participants used to assess diabetes control. Other information included perceived self-efficacy and adherence to self-care, the type and amount of medications taken, the presence or absence of symptoms attributed to diabetes, and feedback from self-monitoring of blood glucose. Most participants reported familiarity with the HbA1c (22 of 25), though understanding of the value's meaning varied significantly. Inadequate diabetes education and challenges with patient-provider communication were cited as common barriers to understanding the HbA1c. CONCLUSIONS: In addition to the HbA1c, several categories of information influenced participants' assessments of their diabetes control. Increased provider awareness of the factors that influence patients' perceptions of diabetes control can inform effective, patient-centered approaches for communicating vital diabetes-related information, facilitating behavior change towards improved patient outcomes.

A systematic review of care management interventions targeting multimorbidity and high care utilization.

BACKGROUND: Evidence supporting the effectiveness of care management programs for complex patients has been inconclusive. However, past reviews have not focused on complexity primarily defined by multimorbidity and healthcare utilization. We conducted a systematic review of care management interventions targeting the following three patient groups: adults with two or more chronic medical conditions, adults with at least one chronic medical condition and concurrent depression, and adults identified based solely on high past or predicted healthcare utilization. METHODS: Eligible studies were identified from PubMed, published between 06/01/2005 and 05/31/2015, and reported findings from a randomized intervention that tested a comprehensive, care management intervention. Identified interventions were grouped based on the three "complex" categories of interest (described above). Two investigators extracted data using a structured abstraction form and assessed RCT quality. RESULTS: We screened 989 article titles for eligibility from which 847 were excluded. After reviewing the remaining 142 abstracts, 83 articles were excluded. We reviewed the full-text of 59 full-text articles and identified 15 unique RCTs for the final analysis. Of these 15 studies, two focused on patients with two or more chronic medical conditions, seven on patients with at least one chronic medical condition and depression, and six on patients with high past or predicted healthcare utilization. Measured outcomes included utilization, chronic disease measures, and patient-reported outcomes. The seven studies targeting patients with at least one chronic medical condition and depression demonstrated significant improvement in depression symptoms (ranging from 9.2 to 48.7% improvement). Of the six studies that focused on high utilizers, two showed small reductions in utilization. The quality of the research methodology in most of the studies (12/15) was rated fair or poor. CONCLUSIONS: Interventions were more likely to be successful when patients were selected based on having at least one chronic medical condition and concurrent depression, and when patient-reported outcomes were assessed. Future research should focus on the role of mental health in complex care management, finding better methods for identifying patients who would benefit most from care management, and determining which intervention components are needed for which patients.

Population Health Management for Diabetes: Health Care System-Level Approaches for Improving Quality and Addressing Disparities.

PURPOSE OF REVIEW: Population care approaches for diabetes have the potential to improve the quality of care and decrease diabetes-related mortality and morbidity. Population care strategies are particularly relevant as accountable care organizations (ACOs), patient-centered medical homes (PCMH), and integrated delivery systems are increasingly focused on managing chronic disease care at the health system level. This review outlines the key elements of population care approaches for diabetes in the current health care environment. RECENT FINDINGS: Population care approaches proactively identify diabetes patients through disease registries and electronic health record data and utilize multidisciplinary care teams, personalized provider feedback, and decision support tools to target and care for patients at risk for poor outcomes. Existing evidence suggests that these strategies can improve care outcomes and potentially ameliorate existing race/ethnic disparities in health care. However, such strategies may be less effective for patients who are disengaged from the health care system. As population care for diabetes continues to evolve, future initiatives should consider ways to tailor population care to meet individual patient needs, while leveraging improvements in clinical information systems and care integration to optimally manage and prevent diabetes in the future.

Health-Specific Information and Communication Technology Use and Its Relationship to Obesity in High-Poverty, Urban Communities: Analysis of a Population-Based Biosocial Survey.

BACKGROUND: More than 35% of American adults are obese. For African American and Hispanic adults, as well as individuals residing in poorer or more racially segregated urban neighborhoods, the likelihood of obesity is even higher. Information and communication technologies (ICTs) may substitute for or complement community-based resources for weight management. However, little is currently known about health-specific ICT use among urban-dwelling people with obesity. OBJECTIVE: We describe health-specific ICT use and its relationship to measured obesity among adults in high-poverty urban communities. METHODS: Using data collected between November 2012 and July 2013 from a population-based probability sample of urban-dwelling African American and Hispanic adults residing on the South Side of Chicago, we described patterns of ICT use in relation to measured obesity defined by a body mass index (BMI) of ≥30 kg/m(2). Among those with BMI≥30 kg/m(2), we also assessed the association between health-specific ICT use and diagnosed versus undiagnosed obesity as well as differences in health-specific ICT use by self-reported comorbidities, including diabetes and hypertension. RESULTS: The survey response rate was 44.6% (267 completed surveys/598.4 eligible or likely eligible individuals); 53.2% were African American and 34.6% were Hispanic. More than 35% of the population reported an annual income of less than US $25,000. The population prevalence of measured obesity was 50.2%. People with measured obesity (BMI≥30 kg/m(2)) were more likely to report both general (81.5% vs 67.0%, P=.04) and health-specific (61.1% vs 41.2%, P=.01) ICT use. In contrast, among those with measured obesity, being told of this diagnosis by a physician was not associated with increased health-specific ICT use. People with measured obesity alone had higher rates of health-specific use than those with comorbid hypertension and/or diabetes diagnoses (77.1% vs 60.7% vs 47.4%, P=.04). CONCLUSIONS: In conclusion, ICT-based health resources may be particularly useful for people in high-poverty urban communities with isolated measured obesity, a population that is at high risk for poor health outcomes.

Translating the hemoglobin A1C with more easily understood feedback: a randomized controlled trial.

INTRODUCTION: Previous work has indicated that for patients with diabetes, there is value in understanding glycemic control. Despite these findings, patient understanding of the hemoglobin A1C value (A1C) is notably poor. In this study, we test the effect of two alternative communication formats of the A1C on improving glycemic control among patients with poorly controlled diabetes. METHODS: 177 patients with poorly controlled diabetes were randomized to one of three study arms that varied in the information they received: (1) a "diabetes report card" containing individualized information about glycemic control for each participant with letter grades ranging from A to F; (2) a "report card" containing a face whose emotion reflected current glycemic control; or (3) a "report card" with glycemic control expressed with the A1C value (standard arm). The primary study outcome was change in A1C at 6 months. Secondary outcomes included changes in participant perceptions of their glycemic control. RESULTS: The average A1C for enrolled participants was 9.9 % (S.D. 1.7) and did not differ significantly among study arms. We noted no significant differences in change in A1C at 6 months between the standard and experimental arms. Using multiple imputation to account for missing A1C values, the changes in A1C for the letter grade, face, and standard arms were -0.55 % (-1.15, 0.05), -0.89 % (-1.49, -0.29), and -0.74 % (-1.51, 0.029), respectively (p = 0.67 for control vs. grade, p = 0.76 for control vs. face). DISCUSSION: Feedback to patients with poorly controlled diabetes in the form of letter grades and faces did not differentially impact glycemic control at 6 months or participant perceptions of current control. These efforts to improve communication and patient understanding of disease management targets need further refinement to significantly impact diabetes outcomes. CLINICAL TRIAL ID: NCT01143870.

Telemedicine's Impact on Diabetes Care during the COVID-19 Pandemic: A Cohort Study in a Large Integrated Healthcare System.

Introduction: To examine if patients exposed to primary care telemedicine (telephone or video) early in the COVID-19 pandemic had higher rates of downstream HbA1c measurement and improved HbA1c levels in the second year of the pandemic. Research Design and Methods: In a cohort of 242, 848 Kaiser Permanente Northern California patients with diabetes, we examined associations between early-pandemic patient-initiated telemedicine visit and downstream HbA1c monitoring and results during the second year of the pandemic. Results: Adjusted HbA1c measurement rates were significantly higher among patients with telemedicine exposure in the early-pandemic prior year than those with no visits in the prior year (91.0% testing for patients with video visits, 90.5% for telephone visits, visits, 86.7% for no visits, p < 0.05). Among those with HbA1c measured, the rates of having an HbA1c < 8% in the second year of the COVID-19 pandemic were also statistically significantly higher among patients with telemedicine exposure in the early-pandemic prior year than those with no visits in the prior year (68.5% with HbA1c< 8% for video visits, 67.3% for telephone visits, 66.6% for no visits, p < 0.05). Conclusions: Access to telephone and video telemedicine throughout the early COVID-19 pandemic was associated with patients' continued engagement in recommended diabetes care. Although our study analyzed telemedicine use during a pandemic, telemedicine visits may continue to support ongoing health care access and positive clinical outcomes.

Acceptability of PrEP among MSM and transgender communities-Qualitative findings from two metropolitan cities in India.

BACKGROUND: Global evidence suggests that Pre-Exposure Prophylaxis (PrEP) plays a pivotal role in reducing new HIV-infections among key populations (KP). However, the acceptability of PrEP differs across different geographical and cultural settings and among different KP typologies. Men who have sex with men (MSM) and transgender (TG) communities in India have around 15-17 times higher prevalence of human immunodeficiency virus (HIV) than the general population. The low rates of consistent condom use and poor coverage of HIV testing and treatment among the MSM and transgender communities highlight the need for alternative HIV prevention options. METHODS: We used data from 20 in-depth interviews and 24 focused group discussions involving 143 MSM and 97 transgender individuals from the two metropolitan cities (Bengaluru and Delhi) in India to qualitatively explore their acceptability of PrEP as a HIV prevention tool. We coded data in NVivo and conducted extensive thematic content analysis. RESULTS: Awareness and use of PrEP were minimal among the MSM and transgender communities in both cities. However, on being provided with information on PrEP, both MSM and transgender communities expressed willingness to use PrEP as an additional HIV-prevention tool, to complement inability to consistently use condoms. PrEP was also perceived as a tool that could enhance the uptake of HIV-testing and counseling services. PrEP awareness, availability, accessibility and affordability were identified as determining factors that could influence its acceptability. Challenges such as stigma and discrimination, interrupted supply of drugs and non-community-friendly drug dispensing sites were identified barriers to continuing PrEP. CONCLUSIONS: Using qualitative data from two Indian settings, this study provides community perspectives and recommendations to stakeholders and policymakers for introduction of PrEP into programs as a prevention tool among MSM and transgender communities in India.

Primary care video and telephone telemedicine during the COVID-19 pandemic: treatment and follow-up health care utilization.

OBJECTIVES: Telemedicine use expanded greatly during the COVID-19 pandemic, and broad use of telemedicine is expected to persist beyond the pandemic. More evidence on the efficiency and safety of different telemedicine modalities is needed to inform clinical and policy decisions around telemedicine use. To evaluate the efficiency and safety of telemedicine, we compared treatment and follow-up care between video and telephone visits during the COVID-19 pandemic. STUDY DESIGN: Observational study of patient-scheduled telemedicine visits for primary care. METHODS: We used multivariate logistic regression to compare treatment (medication prescribing, laboratory/imaging orders) and 7-day follow-up care (in-person office visits, emergency department visits, and hospitalizations) between video and telephone visits, adjusted for patient characteristics. RESULTS: Among 734,442 telemedicine visits, 58.4% were telephone visits. Adjusted rates of medication prescribing and laboratory/imaging orders were higher in video visits than telephone visits, with differences of 3.5% (95% CI, 3.3%-3.8%) and 3.9% (95% CI, 3.6%-4.1%), respectively. Adjusted rates of 7-day follow-up in-person office visits, emergency department visits, and hospitalizations were lower after video than telephone visits, with differences of 0.7% (95% CI, 0.5%-0.9%), 0.3% (95% CI, 0.2%-0.3%), and 0.04% (95% CI, 0.02%-0.06%), respectively. CONCLUSIONS: Among telemedicine visits with primary care clinicians, return visits were not common and downstream emergency events were rare. Adjusted rates of treatment measures were higher and adjusted rates of follow-up care were lower for video visits than telephone visits. Although video visits were marginally more efficient than telephone visits, telephone visits may offer an accessible option to address patient primary care needs without raising safety concerns.

Primary care telemedicine during the COVID-19 pandemic: patient's choice of video versus telephone visit.

The aim of this study is to examine the association between patient characteristics and primary care telemedicine choice among integrated delivery system patients self-scheduling visits during the COVID-19 pandemic. We used multivariate logistic regression to examine the association between the choice of video versus telephone and patient sociodemographic characteristics and technology access among patient-initiated primary care telemedicine visits scheduled online from March to October 2020. Among 978 272 patient-scheduled primary care telemedicine visits, 39% were video visits. Patients of Black or Hispanic race/ethnicity, or living in low socioeconomic status or low internet access neighborhoods were less likely to schedule video visits. Patients 65 years or older, with prior video visit experience or mobile portal access, or visiting their own personal provider were more likely to schedule video visits. While video adoption was substantial in all patient groups examined, differences in telemedicine choice suggest the persistence of a digital divide, emphasizing the importance of maintaining a telephone telemedicine option.