Real-Time Virtual Support as an Emergency Department Strategy for Rural, Remote, and Indigenous Communities in British Columbia: Descriptive Case Study.

BACKGROUND: British Columbia has over 200 rural, remote, and Indigenous communities that have limited health care resources due to physician isolation, sparsity in clinical resources, the lack of collegial support, and provider burnout. Real-time virtual support (RTVS) peer-to-peer pathways provide support to patients and providers. Amid the COVID-19 pandemic exacerbating existing health care disparities and equitable access to timely care, RTVS presents a portable and additional opportunity to be deployed in a hospital or patient home setting in rural communities. We highlight the story of the Rural Urgent Doctor in-aid (RUDi) pathway within RTVS that successfully supported the Dawson Creek District Hospital (DCDH) emergency department (ED) in 2021. OBJECTIVE: This study aims to describe the rapid implementation process and identify facilitators and barriers to successful implementation. METHODS: This case study is grounded in the Quadruple Aim and Social Accountability frameworks for health systems learning. The entire study period was approximately 6 months. After 1 week of implementation, we interviewed RUDi physicians, DCDH staff, health authority leadership, and RTVS staff to gather their experiences. Content analysis was used to identify themes that emerged from the interviews. RESULTS: RUDi physicians covered 39 overnight shifts and were the most responsible providers (MRPs) for 245 patients who presented to the DCDH ED. A total of 17 interviews with key informants revealed important themes related to leadership and relationships as facilitators of the coverage's success, the experience of remote physician support, providing a "safety net," finding new ways of interprofessional collaboration, and the need for extensive IT support throughout. Quality improvement findings identified barriers and demonstrated tangible recommendations for how this model of support can be improved in future cases. CONCLUSIONS: By acting as the MRP during overnight ED shifts, RUDi prevented the closure of the DCDH ED and the diversion of patients to another rural hospital. Rapid codevelopment and implementation of digital health solutions can be leveraged with existing partnerships and mutual trust between RTVS and rural EDs to ease the pressures of a physician shortage, particularly during COVID-19. By establishing new and modified clinical workflows, RTVS provides a safety net for rural patients and providers challenged by burnout. This case study provides learnings to be implemented to serve future rural, remote, and Indigenous communities in crisis.

First Trimester Hemoglobin A1c Prediction of Gestational Diabetes.

Objective The objective of this study is to examine whether a first trimester hemoglobin A1c (A1C) of 5.7 to 6.4% predicts an abnormal second trimester oral glucose tolerance test (OGTT). Methods We conducted a retrospective cohort study of all women screened with A1C through 13 (6/7) weeks' gestation between January 1, 2011, and December 31, 2012. Prediabetic women (A1C of 5.7-6.4%) were compared with women with a normal first trimester A1C (< 5.7%). The primary outcome was an abnormal 2-hour, 75-g OGTT as defined by the International Association of Diabetes and Pregnancy Study Groups. Results There were 2,812 women who met inclusion criteria of whom 6.7% (n = 189) were prediabetic. Women with prediabetes were more likely to have gestational diabetes mellitus (GDM) even after adjusting for potential confounders (29.1 vs. 13.7%; adjusted relative risk, 1.48; 95% confidence interval, 1.15-1.89). There were no statistically significant differences in secondary outcomes except that women with prediabetes had less excessive gestational weight gain. A prediabetic-range A1C in the first trimester was associated with a 13% sensitivity and a 94% specificity for predicting GDM Conclusion Although women with prediabetes by first trimester A1C are significantly more likely to have GDM, the low sensitivity of an A1C in this range renders it a poor test to identify women who will develop GDM.

Racial/Ethnic Differences in Gestational Diabetes Prevalence and Contribution of Common Risk Factors.

BACKGROUND: The White House, the American Heart Association, the Agency for Healthcare Research and Quality, and the National Heart, Lung and Blood Institute have all recently acknowledged the need to disaggregate Asian American subgroups to better understand this heterogeneous racial group. This study aims to assess racial/ethnic differences in relative contribution of risk factors of gestational diabetes mellitus (GDM) among Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, and Vietnamese), Hispanics, non-Hispanic blacks, and non-Hispanic whites. METHODS: Pregnant women in 2007-2012 were identified through California state birth certificate records and linked to the electronic health records in a large mixed-payer ambulatory care organisation in Northern California (n = 24 195). Relative risk and population attributable fraction (PAF) for specific racial/ethnic groups were calculated to assess the contributions of advanced maternal age, overweight/obesity (Centers for Disease Control and Prevention (CDC) standards and World Health Organization (WHO)/American Diabetes Association (ADA) body mass index cut-offs for Asians), family history of type 2 diabetes, and foreign-born status. RESULTS: GDM was most prevalent among Asian Indians (19.3%). Relative risks were similar across all race/ethnic groups. Advanced maternal age had higher PAFs in non-Hispanic whites (22.5%) and Hispanics (22.7%). Meanwhile family history (Asian Indians 22.6%, Chinese 22.9%) and foreign-borne status (Chinese 40.2%, Filipinos 30.2%) had higher PAFs in Asian subgroups. Overweight/obesity was the most important GDM risk factor for non-Hispanic whites, Hispanics, Asian Indians, and Filipinos when the WHO/ADA cut-off points were applied. Advanced maternal age was the only risk factor studied that was modified by race/ethnicity, with non-Hispanic white and Hispanic women being more adversely affected than other racial/ethnic groups. CONCLUSIONS: Overweight/obesity, advanced maternal age, family history of type 2 diabetes, and foreign-borne status are important risk factors for GDM. The relative contributions of these risk factors differ by race/ethnicity, mainly due to differences in population prevalence of these risk factors.

Inhibition of Th1 activation and differentiation by dietary guar gum ameliorates experimental autoimmune encephalomyelitis.

Dietary fibers are potent modulators of immune responses that can restrain inflammation in multiple disease contexts. However, dietary fibers encompass a biochemically diverse family of carbohydrates, and it remains unknown how individual fiber sources influence immunity. In a direct comparison of four different high-fiber diets, we demonstrate a potent ability of guar gum to delay disease and neuroinflammation in experimental autoimmune encephalomyelitis, a T cell-mediated mouse model of multiple sclerosis. Guar gum-specific alterations to the microbiota are limited, and disease protection appears to be independent of fiber-induced increases in short-chain fatty acid levels or regulatory CD4+ T cells. Instead, CD4+ T cells of guar gum-supplemented mice are less encephalitogenic due to reduced activation, proliferation, Th1 differentiation, and altered migratory potential. These findings reveal specificity in the host response to fiber sources and define a pathway of fiber-induced immunomodulation that protects against pathologic neuroinflammation.

Cross-cultural reading the mind in the eyes: an fMRI investigation.

The ability to infer others' thoughts, intentions, and feelings is regarded as uniquely human. Over the last few decades, this remarkable ability has captivated the attention of philosophers, primatologists, clinical and developmental psychologists, anthropologists, social psychologists, and cognitive neuroscientists. Most would agree that the capacity to reason about others' mental states is innately prepared, essential for successful human social interaction. Whether this ability is culturally tuned, however, remains entirely uncharted on both the behavioral and neural levels. Here we provide the first behavioral and neural evidence for an intracultural advantage (better performance for same- vs. other-culture) in mental state decoding in a sample of native Japanese and white American participants. We examined the neural correlates of this intracultural advantage using fMRI, revealing greater bilateral posterior superior temporal sulci recruitment during same- versus other-culture mental state decoding in both cultural groups. These findings offer preliminary support for cultural consistency in the neurological architecture subserving high-level mental state reasoning, as well as its differential recruitment based on cultural group membership.

Virtual small groups for weight management: an innovative delivery mechanism for evidence-based lifestyle interventions among obese men.

While group interventions for weight management have been shown to be efficacious, adherence is often low, especially among men. This pilot study seeks to test whether group interventions using web-based group video conferencing (VC) technology is effective for weight loss. We adapted a 12-week curriculum based on the Diabetes Prevention Program, and delivered this intervention to a small group of men (BMI ≥30 kg/m(2)), using web-based group VC. Participants were randomized to intervention (n = 32) or delayed-intervention control group (n = 32). The intervention group lost 3.5 % (95 % CI 2.1 %, 4.9 %) of their initial body weight. Difference in mean weight loss was 3.2 kg (p = 0.0002) and mean BMI decrease was 1.0 kg/m(2) (p = 0.0010) between the two groups. Virtual small groups may be an effective means of allowing face-to-face group interaction, while overcoming some barriers to access.

Impact of Education on Weight in Newly Diagnosed Type 2 Diabetes: Every Little Bit Helps.

AIMS: Highly structured, intensive behavioral lifestyle interventions have been shown to be efficacious in research settings for type 2 diabetes management and weight loss. We sought to evaluate the benefit of participation in more limited counseling and/or education among individuals with newly diagnosed type 2 diabetes in more modest real-world clinical settings. METHODS: Electronic Health Records of newly diagnosed type 2 diabetes patients age 35-74 from a large ambulatory group practice were analyzed (n = 1,314). We examined participation in clinic-based lifestyle counseling/education and subsequent weight loss. RESULTS: Of the total cohort, 599 (45.6%) patients received counseling/education with (26.2%) and without (19.4%) medication, 298(22.7%) patients received a prescription for medication alone, and 417(31.7%) patients were only monitored. On average, those who participated in counseling/education attended 2.5 sessions (approximately 2-3 hours). The average weight loss of patients who received counseling/education alone during the follow-up period (up to three years post-exposure to participation) was 6.3 lbs. (3.3% of body weight), and, if received with medication prescription, 8.1 lbs. (4.0% of body weight) (all at P<0.001). The weight loss associated with medication was only 3.5 lbs. (P<0.001). No significant weight change was observed in the monitoring only group. CONCLUSIONS: While efforts to improve both the short-term and long-term effectiveness of behavioral lifestyle interventions in real-world settings are ongoing, it is important for clinicians to continue to utilize less intensive, existing resources. Even relatively small "doses" of health education may help in promoting weight loss and may potentially reduce cardiometabolic risk.

Engaging South Asian women with type 2 diabetes in a culturally relevant exercise intervention: a randomized controlled trial.

BACKGROUND: We examined the efficacy of a culturally relevant exercise program in improving glycated hemoglobin (HbA1c) among South Asian women with type 2 diabetes, compared with usual care. METHODS: This was a randomized controlled 8-week pilot study of Bollywood dance among South Asian women with type 2 diabetes. The intervention consisted of 1 h Bollywood dance classes offered twice per week. The primary outcome was change in HbA1c. The effect of attendance on this outcome was also examined. RESULTS: The intervention group demonstrated a decrease in HbA1c from baseline (-0.18% (0.2%); p=0.018) compared with a non-significant increase in the usual care group (+0.03% (0.2%)); p value for difference between groups was 0.032. Participants attending at least 10 of 16 sessions had a statistically significant reduction in weight (-0.69 kg (0.76 kg)) compared with those attending fewer sessions (+0.86 kg (0.71 kg)). CONCLUSIONS: These results support culturally relevant dance as a successful exercise intervention to promote HbA1c control, compared with usual care. TRIAL REGISTRATION NUMBER: NCT02061618.

Gender and ethnic differences in the prevalence of type 2 diabetes among Asian subgroups in California.

AIMS: To investigate gender and ethnic type 2 diabetes (DM) prevalences among California Asian subgroups versus other ethnic groups and if risk factors explain these differences. METHODS: We identified the prevalence of DM and associated risk factors, stratified by gender, among Chinese, Filipino, South Asian, Japanese, Korean, Vietnamese, Mexican, Other Hispanic, African-American, Caucasian, and Native American adults in a large survey conducted in 2009 (n=46,091, projected n=26.6 million). RESULTS: The highest age-adjusted DM prevalence was seen in Native Americans (32.4%), Filipinos (15.8%), and Japanese (11.8%) among men and in Native Americans (16.0%) and African-Americans (13.3%) among women. Caucasian and Mexican men had higher DM prevalences than women. Age and risk factor-adjusted logistic regression showed DM more likely (relative to Caucasians) among women in Koreans (OR=4.6, p<0.01), Native Americans (OR=3.0, p<0.01), and Other Hispanics (OR 2.9, p<0.01) and among men in Filipinos (OR=7.0, p<0.01), South Asians (OR=4.7, p<0.01), and Native Americans (OR=4.7, p<0.01). No specific risk factors accounted for the gender differences. CONCLUSIONS: Ethnic and gender differences in DM prevalence persist, even after adjusting for lifestyle and other risk factors; prevalence is high among certain Asian American subgroups. Different diabetes prevention approaches may be needed across ethnic/gender groups.

Racial/ethnic differences in the prevalence of proteinuric and nonproteinuric diabetic kidney disease.

OBJECTIVE: To examine racial/ethnic differences in the prevalence of diabetic kidney disease (DKD), with and without proteinuria, in an outpatient health care organization. RESEARCH DESIGN AND METHODS: We examined electronic health records for 15,683 persons of non-Hispanic white (NHW), Asian (Asian Indian, Chinese, and Filipino), Hispanic, and non-Hispanic black (NHB) race/ethnicity with type 2 diabetes and no prior history of kidney disease from 2008 to 2010. We directly standardized age- and sex-adjusted prevalence rates of proteinuric DKD (proteinuria with or without low estimated glomerular filtration rate [eGFR]) or nonproteinuric DKD (low eGFR alone). We calculated sex-specific odds ratios of DKD in racial/ethnic minorities (relative to NHWs) after adjustment for traditional DKD risk factors. RESULTS: Racial/ethnic minorities had higher rates of proteinuric DKD than NHWs (24.8-37.9 vs. 24.8%) and lower rates of nonproteinuric DKD (6.3-9.8 vs. 11.7%). On adjusted analyses, Chinese (odds ratio 1.39 for women and 1.56 for men), Filipinos (1.57 for women and 1.85 for men), Hispanics (1.46 for women and 1.34 for men), and NHBs (1.50 for women) exhibited significantly (P < 0.01) higher odds of proteinuric DKD than NHWs. Conversely, Chinese, Hispanic, and NHB women and Hispanic men had significantly lower odds of nonproteinuric DKD than NHWs. CONCLUSIONS: We found novel racial/ethnic differences in DKD among patients with type 2 diabetes. Racial/ethnic minorities were more likely to have proteinuric DKD and less likely to have nonproteinuric DKD. Future research should examine diverse DKD-related outcomes by race/ethnicity to inform targeted prevention and treatment efforts and to explore the etiology of these differences.

Clinically identified postpartum depression in Asian American mothers.

OBJECTIVE: To identify the clinical diagnosis rate of postpartum depression (PPD) in Asian American subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) compared to non-Hispanic Whites. DESIGN: Cross-sectional study using electronic health records (EHR). SETTING: A large, outpatient, multiservice clinic in Northern California. PARTICIPANTS: A diverse clinical population of non-Hispanic White (N = 4582), Asian Indian (N = 1264), Chinese (N = 1160), Filipino (N = 347), Japanese (N = 124), Korean (N = 183), and Vietnamese (N = 147) mothers. METHODS: Cases of PPD were identified from EHRs using physician diagnosis codes, medication usage, and age standardized for comparison. The relationship between PPD and other demographic variables (race/ethnicity, maternal age, delivery type, marital status, and infant gender) were examined in a multivariate logistic regression model. RESULTS: The PPD diagnosis rate for all Asian American mothers in aggregate was significantly lower than the diagnosis rate in non-Hispanic White mothers. Moreover, of the six Asian American subgroups, PPD diagnosis rates for Asian Indian, Chinese, and Filipino mothers were significantly lower than non-Hispanic White mothers. In multivariate analyses, race/ethnicity, age, and cesarean were significant predictors of PPD. CONCLUSION: In this insured population, PPD diagnosis rates were lower among Asian Americans, with variability in rates across the individual Asian American subgroups. It is unclear whether these lower rates are due to underreporting, underdiagnosis, or underutilization of mental health care in this setting.

Underdiagnosis of hypertension using electronic health records.

BACKGROUND: Hypertension is highly prevalent and contributes to cardiovascular morbidity and mortality. Appropriate identification of hypertension is fundamental for its management. The rates of appropriate hypertension diagnosis in outpatient settings using an electronic health record (EHR) have not been well studied. We sought to identify prevalent and incident hypertension cases in a large outpatient healthcare system, examine the diagnosis rates of prevalent and incident hypertension, and identify clinical and demographic factors associated with appropriate hypertension diagnosis. METHODS: We analyzed a 3-year, cross-sectional sample of 251,590 patients aged ≥18 years using patient EHRs. Underlying hypertension was defined as two or more abnormal blood pressure (ABP) readings ≥140/90 mm Hg and/or pharmaceutical treatment. Appropriate hypertension diagnosis was defined by the reporting of ICD-9 codes (401.0-401.9). Factors associated with hypertension diagnosis were assessed through multivariate analyses of patient clinical and demographic characteristics. RESULTS: The prevalence of hypertension was 28.7%, and the diagnosis rate was 62.9%. The incidence of hypertension was 13.3%, with a diagnosis rate of 19.9%. Predictors of diagnosis for prevalent hypertension included older age, Asian, African American, higher body mass index (BMI), and increased number of ABP readings. Predictors for incident hypertension diagnosis were similar. In patients with two or more ABP readings, hypertension diagnosis was associated with significantly higher medication treatment rates (92.6% vs. 15.8%, P < 0.0001). CONCLUSIONS: Outpatient EHR diagnosis rates are suboptimal, yet EHR diagnosis of hypertension is strongly associated with treatment. Targeted efforts to improve diagnosis should be a priority.

Type 2 diabetes: identifying high risk Asian American subgroups in a clinical population.

AIMS: We compared the prevalence and treatment of type 2 diabetes across Asian American subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese) and Non-Hispanic Whites (NHWs) in a Northern California healthcare system. METHODS: A three-year, cross-sectional sample of patient electronic health records was accessed to compare diabetes prevalence in 21,816 Asian and 73,728 NHWs aged 35+ years. Diabetes was classified through ICD-9 codes, abnormal laboratory values, or use of oral anti-diabetic medication. Multivariate adjusted prevalence rates for each Asian subgroup, and adjusted odds ratios (OR) relative to NHWs, were compared. RESULTS: Age-adjusted prevalence ranged from 5.8% to 18.2% (women) and 8.1 to 25.3% (men). Age-adjusted ORs of Asian subgroups ranged 1.11-3.94 (women) and 1.14-4.56 (men). The odds of diabetes were significantly higher in Asian Indians (women OR 3.44, men OR 3.54) and Filipinos (women OR 3.94, men OR 4.56), compared to NHWs. Results for Asian Indians and Filipinos were similar with age-and-BMI adjustment. Treatment rates across subgroups were 59.7-82.0% (women) and 62.9-79.4% (men). CONCLUSIONS: Heterogeneity exists in the prevalence of diabetes across Asian subgroups, independent of obesity prevalence. Asian Indian and Filipino subgroups had particularly high prevalence of diabetes when compared to NHWs. Future studies should explore these clinically important differences among Asian subgroups.

Shared medical appointments: promoting weight loss in a clinical setting.

INTRODUCTION: Shared medical appointments (SMAs) are 90-minute group appointments for patients with similar medical complaints. SMAs include components of a traditional office visit but provide further emphasis on health education. The effectiveness of SMAs on weight-loss in an outpatient setting has not been studied. METHODS: Weight-loss SMAs were offered by one physician at the Palo Alto Medical Foundation. Teaching content included Diabetes Prevention Program materials. This analysis includes patients who attended at least one SMA (n = 74) compared with patients in the same physician's practice who had at least one office visit and a body mass index ≥ 25 kg/m(2) (n = 356). RESULTS: The SMA group had a higher proportion of women than the comparison group (76% vs 64%) and were older (mean, 52.4 years; SD, 13.1 years vs mean, 47.0 years; SD, 13.3 years). SMA patients on average lost 1.0% of their baseline weight. Patients in the comparison group on average gained 0.8% of their baseline weight. DISCUSSION: SMAs may be a viable option for physicians to promote weight loss in the clinical setting.

Population Colorectal Cancer Screening Estimates: Comparing Self-Report to Electronic Health Record Data in California.

INTRODUCTION: Population-based surveys are used to assess colorectal cancer (CRC) screening rates, but may be subject to self-report biases. Clinical data from electronic health records (EHR) are another data source for assessing screening rates and self-report bias; however, use of EHR data for population research is relatively new. We sought to compare CRC screening rates from a self-report survey, the 2007 California Health Interview Survey (CHIS), to EHR data from Palo Alto Medical Foundation (PAMF), a multi-specialty healthcare organization serving three counties in California. METHODS: Ever- and up-to-date CRC screening rates were compared between CHIS respondents (N=18,748) and PAMF patients (N=26,283). Both samples were limited to English proficient subjects aged 51-75 with health insurance and a physician visit in the past two years. PAMF rates were age-sex standardized to the CHIS population. Analyses were stratified by racial/ethnic group. RESULTS: EHR data included PAMF internally completed tests (84%), and patient-reported externally completed tests which were either confirmed (7%) or unconfirmed (9%) by a physician. When excluding unconfirmed tests, PAMF screening rates were 6-14 percentage points lower than CHIS rates, for both ever- and up-to-date CRC screening among Non-Hispanic White, Black, Hispanic/Latino, Chinese, Filipino and Japanese subjects. When including unconfirmed tests, differences in screening rates between the two data sets were minimal. CONCLUSION: Comparability of CRC screening rates from survey data and clinic-based EHR data depends on whether or not unconfirmed patient-reported tests in EHR are included. This indicates a need for validated methods of calculating CRC screening rates in EHR data.