Demographic, Social, Behavioral, and Clinical Characteristics Associated with Long-Term Opioid Therapy and Any Opioid Prescription in High-Risk VA Patients.

BACKGROUND: Social risks (individual social and economic conditions) have been implicated as playing a major role in the opioid epidemic and may be more prevalent in the most medically vulnerable patients. However, the extent to which specific social risks and other patient factors are associated with opioid use among high-risk patients has not been comprehensively assessed. OBJECTIVE: To identify patient-reported and electronic health record (EHR)-derived demographic, social, behavioral/psychological, and clinical characteristics associated with opioid use in Veterans Affairs (VA) patients at high risk for hospitalization or death. DESIGN: We used generalized estimating equations to calculate the probability of long-term opioid therapy (LTOT) and the probability of filling any opioid prescription (regardless of duration) over five intervals during a 4-year period (12/2016-12/2020). PARTICIPANTS: Prospective cohort of 4121 medically high-risk VA patients not receiving palliative or end-of-life care, and who responded to a survey mailed to a nationally representative sample of 10,000 high-risk VA patients. MAIN MEASURES: Patient-reported demographic, social risk, behavioral/psychological, and clinical measures, and linked EHR-derived data. KEY RESULTS: The average age was 69.8 years, 6.7% were female, and 17.5% were Non-Hispanic Black race/ethnicity. The majority had diagnosed chronic pain (76.1%). LTOT and any opioid prescription were positively associated with the following: younger age, non-Hispanic White race/ethnicity (compared to non-Hispanic Black race/ethnicity), male sex assigned at birth (LTOT only), not being currently employed, current tobacco use, no alcohol use, higher grit (any opioid prescription only), functional limitations, diagnosed chronic pain, lower comorbidity burden (LTOT only), obesity class I or class II/III (any opioid prescription only), undergoing surgery (any opioid prescription only), and diagnosed cancer (any opioid prescription only). CONCLUSIONS: Multifactor screening could help identify individuals at elevated risk for adverse opioid-related outcomes and augment current multifaceted initiatives, as several social risks and patient characteristics were predictors of LTOT and any opioid prescription.

Associations Between Social Risks and Primary Care Utilization Among Medically Complex Veterans.

BACKGROUND: Social risks contribute to poor health outcomes, especially for patients with complex medical needs. These same risks may impact access to primary care services. OBJECTIVE: To study associations between social risks and primary care utilization among patients with medical complexity. DESIGN: Prospective cohort study of respondents to a 2018 mailed survey, followed up to 2 years after survey completion. PARTICIPANTS: Nationally representative sample of 10,000 primary care patients in the Veterans Affairs (VA) health care system, with high (≥ 75th percentile) 1-year risk of hospitalization or death. MAIN MEASURES: Survey-based exposures were low social support, no family member/friend involved in health care, unemployment, transportation problem, food insecurity, medication insecurity, financial strain, low medical literacy, and less than high school graduate. Electronic health record-based outcomes were number of primary care provider (PCP) encounters, number of primary care team encounters (PCP, nurse, clinical pharmacist, and social worker), and having ≥ 1 social work encounter. KEY RESULTS: Among 4680 respondents, mean age was 70.3, 93.7% were male, 71.8% White non-Hispanic, and 15.8% Black non-Hispanic. Unemployment was associated with fewer PCP and primary care team encounters (incident rate ratio 0.77, 95% CI 0.65-0.91; p = 0.002 and 0.75, 0.59-0.95; p = 0.02, respectively), and low medical literacy was associated with more primary care team encounters (1.17, 1.05-1.32; p = 0.006). Among those with one or more social risks, 18.4% had ≥ 1 social work encounter. Low medical literacy (OR 1.95, 95% CI 1.45-2.61; p < 0.001), transportation problem (1.42, 1.10-1.83; p = 0.007), and low social support (1.31, 1.06-1.63; p = 0.01) were associated with higher odds of  ≥ 1 social work encounter. CONCLUSIONS: We found few differences in PCP and primary care team utilization among medically complex VA patients by social risk. However, social work use was low, despite its central role in addressing social risks. More work is needed to understand barriers to social work utilization.

State Policy Removing the Personal Belief Exemption for Measles, Mumps, and Rubella (MMR) School Immunization Requirement, Washington State, 2014-2022.

Objectives. To assess the impact of Washington State's 2019 Engrossed House Bill (EHB) 1638-which removed measles, mumps, and rubella (MMR) personal belief exemptions-on MMR vaccine series completion and exemption rates in K-12 students. Methods. We used interrupted time-series analyses to examine changes in MMR vaccine series completion rates before and after EHB 1638 was passed and the χ2 test for differences in exemption rates. Results. EHB 1638 implementation was associated with a 5.4% relative increase in kindergarten MMR vaccine series completion rates (95% confidence interval = 3.8%, 7.1%; P ≤ .001), and results were similar with Oregon as a control state (no change observed in Oregon; P = .68). MMR exemptions overall decreased 41% (from 3.1% in 2018-2019 to 1.8% in 2019-2020; P ≤ .001), and religious exemptions increased 367% (from 0.3% to 1.4%; P ≤ .001). Conclusions. EHB 1638 was associated with an increase in MMR vaccine series completion rates and a decrease in any MMR exemption. However, effects were partially offset by an increase in religious exemption rates. Public Health Implications. Removal of personal belief exemptions for the MMR immunization requirement only may be an effective approach to increase MMR vaccine coverage rates statewide and among underimmunized communities. (Am J Public Health. 2023;113(7):795-804. https://doi.org/10.2105/AJPH.2023.307285).

Home Telehealth in the Veterans Health Administration: Trends and Correlates of Length of Enrollment from 2010 to 2017.

BACKGROUND: Home telehealth (HT) programs enable communication and remote monitoring of patient health data between clinician visits, with the goal of improving chronic disease self-management and outcomes. The Veterans Health Administration (VHA) established one of the earliest HT programs in the country in 2003; however, little is known about how these services have been utilized and expanded over the last decade. OBJECTIVE: To describe trends in use of VHA's HT program from 2010 through 2017 and correlates of length of enrollment in HT services. DESIGN: Retrospective observational cohort study. PARTICIPANTS: Patients enrolled in HT between January 1, 2010 and December 31, 2017. MAIN MEASURES: We described the number and characteristics of patients enrolled in HT, including the chronic conditions managed. We also identified length of HT enrollment and examined patient and facility characteristics associated with longer enrollment. KEY RESULTS: The total number of patients enrolled in HT was 402,263. At time of enrollment, half were >65 years old, 91% were male, and 59.3% lived in urban residences. The most common conditions addressed by HT were hypertension (28.8%), obesity (23.9%), and diabetes (17.0%). The median time to disenrollment in HT was 261 days (8.6 months) but varied by chronic condition. In a multivariable Cox proportional hazards model, covariates associated with higher likelihood of staying enrolled were older age, male gender, non-Hispanic Black race/ethnicity, lower neighborhood socioeconomic status, living in a more rural setting, and a greater burden of comorbidities per the Gagne index. CONCLUSIONS: Across 8 years, over 400,000 veterans engaged in HT services for chronic disease management and over half remained in the program for longer than 8 months. Our work provides a real-world evaluation of HT service expansion in the VHA. Additional studies are necessary to identify optimal enrollment duration and patients most likely to benefit from HT services.

Twelve tips for teaching and supervising post-graduate trainees in clinic.

By providing quality teaching and supervision, medical educators can contribute to productive and fulfilling outpatient experiences for postgraduate trainees (sometimes called residents, registrars, or GP trainees). The recent literature addressing practical steps to improve outpatient teaching is limited. Here we present specific trainee-centric behaviors, techniques, and language that educators can employ to enhance their teaching in the outpatient clinic, in the form of twelve tips. The first two tips pertain to navigating the patient-trainee-supervisor dynamic in the exam room, the next four address listening to an oral presentation, and the last six are tips on being an effective teacher and coach.

Long-Term Impact of a Community Health Worker Intervention on Diabetes Control in American Samoa.

INTRODUCTION: Diabetes Care in American Samoa (DCAS) was a randomized controlled trial of a 12-month intervention facilitated by community health workers (CHWs) that demonstrated improved HbA1c levels compared with usual care at trial completion. We sought to evaluate the long-term impact of this intervention on diabetes control. METHODS: We retrospectively collected HbA1c measurements from medical records of DCAS participants (n = 268). The study group received the intervention during the trial, and the control group received the intervention after the trial. We used mixed-effects longitudinal regression models to assess change in HbA1c within each trial arm during 3 time periods: DCAS (12 months of the study group's intervention), the first year after DCAS (control group's intervention), and the second year after DCAS. Models were adjusted for baseline characteristics that differed significantly for participants with a low number of HbA1c measurements from those with a high number of HbA1c measurements. RESULTS: After adjustment for confounders, the experiment group experienced a decrease in HbA1c of 0.28 units per year (95% confidence interval [CI], -0.64 to 0.07) during DCAS (intervention). HbA1c decreased by 0.88 units per year (95% CI, -1.31 to -0.45) during the year after the intervention. No significant change was observed the following year. HbA1c of the control group did not significantly change during DCAS (usual care) but decreased by 1.31 units per year (95% CI, -1.72 to -0.91) during its intervention. During the year after the control group's intervention, HbA1c increased by 1.18 units per year (95% CI, 0.42 to 1.93). CONCLUSION: Both groups had initial improvements in glycemic control, but HbA1c later plateaued or increased. These results suggest that time-limited CHW programs improve diabetes control in the short term, but ongoing programs are needed for sustained impact.

The global cardiovascular risk transition: associations of four metabolic risk factors with national income, urbanization, and Western diet in 1980 and 2008.

BACKGROUND: It is commonly assumed that cardiovascular disease risk factors are associated with affluence and Westernization. We investigated the associations of body mass index (BMI), fasting plasma glucose, systolic blood pressure, and serum total cholesterol with national income, Western diet, and, for BMI, urbanization in 1980 and 2008. METHODS AND RESULTS: Country-level risk factor estimates for 199 countries between 1980 and 2008 were from a previous systematic analysis of population-based data. We analyzed the associations between risk factors and per capita national income, a measure of Western diet, and, for BMI, the percentage of the population living in urban areas. In 1980, there was a positive association between national income and population mean BMI, systolic blood pressure, and total cholesterol. By 2008, the slope of the association between national income and systolic blood pressure became negative for women and zero for men. Total cholesterol was associated with national income and Western diet in both 1980 and 2008. In 1980, BMI rose with national income and then flattened at ≈Int$7000; by 2008, the relationship resembled an inverted U for women, peaking at middle-income levels. BMI had a positive relationship with the percentage of urban population in both 1980 and 2008. Fasting plasma glucose had weaker associations with these country macro characteristics, but it was positively associated with BMI. CONCLUSIONS: The changing associations of metabolic risk factors with macroeconomic variables indicate that there will be a global pandemic of hyperglycemia and diabetes mellitus, together with high blood pressure in low-income countries, unless effective lifestyle and pharmacological interventions are implemented.

Association between patient-reported social and behavioral risks and health care costs in high-risk Veterans health administration patients.

OBJECTIVE: Social risks complicate patients' ability to manage their conditions and access healthcare, but their association with health expenditures is not well established. To identify patient-reported social risk, behavioral, and health factors associated with health expenditures in Veterans Affairs (VA) patients at high risk for hospitalization or death. DATA SOURCES, STUDY SETTING, AND STUDY DESIGN: Prospective cohort study among high-risk Veterans obtaining VA care. Patient-reported social risk, function, and other measures derived from a 2018 survey sent to 10,000 VA patients were linked to clinical and demographic characteristics extracted from VA data. Response-weighted generalized linear and marginalized two-part models were used to examine VA expenditures (total, outpatient, medication, inpatient) 1 year after survey completion in adjusted models. PRINCIPAL FINDINGS: Among 4680 survey respondents, the average age was 70.9 years, 6.3% were female, 16.7% were African American, 20% had body mass index ≥35, 42.4% had difficulty with two or more basic or instrumental activities of daily living, 19.3% reported transportation barriers, 12.5% reported medication insecurity and 21.8% reported food insecurity. Medication insecurity was associated with lower outpatient expenditures (-$1859.51 per patient per year, 95% confidence interval [CI]: -3200.77 to -518.25) and lower total expenditures (-$4304.99 per patient per year, 95% CI: -7564.87 to -1045.10). Transportation barriers were negatively associated with medication expenditures (-$558.42, 95% CI: -1087.93 to -31.91). Patients with one functional impairment had higher outpatient expenditures ($2997.59 per patient year, 95% CI: 1185.81-4809.36) than patients without functional impairments. No social risks were associated with inpatient expenditures. CONCLUSIONS: In this study of VA patients at high risk for hospitalization and mortality, few social and functional measures were independently associated with the costs of VA care. Individuals with functional limitations and those with barriers to accessing medications and transportation may benefit from targeted interventions to ensure that they are receiving the services that they need.

Evaluating equity in a national virtual care management intervention: Delivery and outcomes by race/ethnicity among Veterans with hypertension and diabetes.

OBJECTIVE: To evaluate whether the Preventive Health Inventory (PHI)-a virtual care management intervention addressing hypertension and diabetes management implemented nationally in the Veterans Health Administration (VHA)-was delivered equitably among racial/ethnic groups and if existing inequities in hypertension and diabetes outcomes changed following PHI receipt. DATA SOURCES AND STUDY SETTING: We used data from the VHA Corporate Data Warehouse among Veterans enrolled in primary care nationally from February 28, 2021 to March 31, 2022. STUDY DESIGN: We used logistic regression to evaluate PHI receipt and hypertension and diabetes outcomes after PHI implementation among Veterans with hypertension and/or diabetes. We conducted unadjusted analyses and analyses adjusting for clinic fixed effects using dummy variables. DATA COLLECTION/EXTRACTION METHODS: We identified Veterans engaged in primary care with documented race/ethnicity and hypertension and/or diabetes diagnoses in all months during the study period. PRINCIPLE FINDINGS: Prior to PHI, Non-Hispanic Black (NHB) (42.2%) and Hispanic (39.5%) Veterans were less likely to have controlled hypertension vs. Non-Hispanic White (NHW) Veterans (47.5%); NHB Veterans (32.9%) were more likely to have uncontrolled diabetes vs. NHW Veterans (25.1%). Among 1,805,658 Veterans, 5.7% NHW (N = 68,744), 5.6% NHB (N = 22,580), 10.2% Hispanic (N = 13,313), 6.2% Asian/Pacific Islander/Native Hawaiian (N = 1868), 5.1% American Indian/Native Alaskan (N = 744), and 5.6% multiple races or other race (N = 1647) Veterans received PHI. We found no significant racial inequities in PHI receipt in unadjusted and adjusted models. Hypertension and diabetes measures improved more in the intervention group compared with the group who did not receive the intervention. There were no new or worsened inequities after PHI, and in pre-/post-intervention analysis, among NHB Veterans, the inequity in uncontrolled diabetes improved by 1.9 percentage points (95% CI 0.2, 3.6). CONCLUSIONS: Our findings suggest the PHI intervention was equitably deployed across race/ethnicity groups without significantly impacting most existing inequities in diabetes and hypertension.

The association between social risks and days at home for older veterans.

BACKGROUND: Many health systems are trying to support the ability of older adults to remain in their homes for as long as possible. Little is known about the relationship between patient-reported social risks and length of time spent at home. We assessed how social risks were associated with days at home for a cohort of older Veterans at high risk for hospitalization and mortality. METHODS: A prospective cross-sectional study using a 2018 survey of 3479 high-risk Veterans aged ≥65 linked to Veterans Health Administration data. Social risks included measures of social resources (i.e., no partner present, low social support), material resources (i.e., not employed, financial strain, medication insecurity, food insecurity, and transportation barriers), and personal resources (i.e., low medical literacy and less than high school education). We estimated how social risks were associated with days at home, defined as the number of days spent outside inpatient, long-term care, observation, or emergency department settings over a 12-month period, using a negative binomial regression model. RESULTS: Not having a partner, not being employed, experiencing transportation barriers, and low medical literacy were respectively associated with 2.57, 3.18, 3.39, and 6.14 fewer days at home (i.e., 27% more facility days, 95% confidence interval [CI] 8%-50%; 42% more facility days, 95% CI 7%-89%; 34% more facility days, 95% CI 7%-68%; and 63% more facility days, 95% CI 27%-109%). Experiencing food insecurity was associated with 2.62 more days at home (i.e., 24% fewer facility days, 95% CI 3%-59%). CONCLUSIONS: Findings suggest that screening older Veterans at high risk of community exit for social risks (i.e., social support, material resources, and medical literacy) may help identify patients likely to benefit from home- and community-based health and social services that facilitate remaining in home settings. Future research should focus on understanding the mechanisms by which these associations occur.

"Veteran to Veteran, There's Automatically a Trust": A Qualitative Study of Veterans' Experiences in a Peer Health-Coaching Program for Hypertension.

Introduction: Veteran peer Coaches Optimizing and Advancing Cardiac Health was an randomized controlled trial (RCT) to test the effectiveness of a peer support intervention to reduce blood pressure among veterans with hypertension and 1 or more cardiovascular risks. The authors studied participant perceptions of the intervention, including barriers and facilitators to participation, factors promoting behavior change, and disease self-management practices. Methods: The authors enrolled participants at their exit visit for the Veteran peer Coaches Optimizing and Advancing Cardiac Health study. Participants received primary care at the Veterans Administration healthcare system and had multiple cardiovascular disease risks, including a diagnosis of hypertension. The authors conducted a qualitative content analysis of semistructured interviews about their experience with the Veteran peer Coaches Optimizing and Advancing Cardiac Health intervention. Results: Interview participants (N=29) were aged 60 years on average (SD=8.6), were 71% male, and were 55% White. They had mean systolic blood pressure of 138 mmHg (SD=18) at baseline. Authors identified themes across 3 major categories, which follow the general progression of the intervention: participation, relationship building, and behavior change. Scheduling flexibility, shared identity and experiences with the coach, acquisition of new knowledge and skills, and goal setting were important determinants of participants' experiences in the program. In the participation category, the themes were scheduling, visit modality, life circumstances, and staffing. In the relationship category, the themes were the coach's professional role, shared identity and experiences, and social support. In the behavior change category, the themes were memory, attention, and decision processes; goal setting; skills and knowledge; and environmental context and resources. Authors report differences across patients varying by blood pressure reduction after the intervention and number of coaching visits. Conclusions: Participants generally reported positive experiences in a peer support intervention for veterans with hypertension. Participant perceptions provide important insights into the intervention design and implementation. These findings may inform future implementation of peer support among veterans in hypertension and chronic disease self-management more generally. Trial registration: This study was registered at Clinicaltrial.gov with the identifier NCT02697422.

Effect of a Peer Health Coaching Intervention on Clinical Outcomes Among US Veterans With Cardiovascular Risks: The Vet-COACH Randomized Clinical Trial.

Importance: Although cardiovascular disease (CVD) is the leading cause of death in the US, CVD risk factors remain suboptimally controlled. Objective: To test the effectiveness of a home-visit, peer health coaching intervention to improve health outcomes for veterans with multiple CVD risks. Design, Setting, and Participants: This 2-group, unblinded randomized clinical trial, called Vet-COACH (Veteran Peer Coaches Optimizing and Advancing Cardiac Health), used a novel geographic-based method to recruit a racially diverse population of veterans with low income. These veterans were enrolled at the Seattle or American Lake Veterans Health Affairs primary care clinics in Washington state. Veterans with a diagnosis of hypertension with at least 1 blood pressure reading of 150/90 mm Hg or higher in the past year, and 1 other CVD risk factor (current smoker, overweight or obesity, and/or hyperlipidemia), who resided in Census tracts with the highest prevalence of hypertension were eligible to participate. Participants were randomized to the intervention group (n = 134) or control group (n = 130). An intention-to-treat analysis was performed from May 2017 to October 2021. Intervention: Participants in the intervention group received peer health coaching for 12 months with mandatory and optional educational materials, an automatic blood pressure monitor, a scale, a pill organizer, and healthy nutrition tools. Participants in the control group received usual care plus educational materials. Main Outcomes and Measures: The primary outcome was a change in systolic blood pressure (SBP) from baseline to 12-month follow-up. Secondary outcomes included change in health-related quality of life (HRQOL; measured using the 12-item Short Form survey's Mental Component Summary and Physical Component Summary scores), Framingham Risk Score, and overall CVD risk and health care use (hospitalizations, emergency department visits, and outpatient visits). Results: The 264 participants who were randomized (mean [SD] age of 60.6 [9.7] years) were predominantly male (229 [87%]) and 73 (28%) were Black individuals and 103 (44%) reported low annual income (<$40 000 per year). Seven peer health coaches were recruited. No difference was found in change in SBP between the intervention and control groups (-3.32 [95% CI, -6.88 to 0.23] mm Hg vs -0.40 [95% CI, -4.20 to 3.39] mm Hg; adjusted difference in differences, -2.05 [95% CI, -7.00 to 2.55] mm Hg; P = .40). Participants in the intervention vs control group reported greater improvements in mental HRQOL scores (2.19 [95% CI, 0.26-4.12] points vs -1.01 [95% CI, -2.91 to 0.88] points; adjusted difference in differences, 3.64 [95% CI, 0.66-6.63] points; P = .02). No difference was found in physical HRQOL scores, Framingham Risk Scores, and overall CVD risk or health care use. Conclusions and Relevance: This trial found that, although the peer health coaching program did not significantly decrease SBP, participants who received the intervention reported better mental HRQOL compared with the control group. The results suggest that a peer-support model that is integrated into primary care can create opportunities for well-being improvements beyond blood pressure control. Trial Registration: ClinicalTrials.gov Identifier: NCT02697422.

National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2·7 million participants.

BACKGROUND: Data for trends in glycaemia and diabetes prevalence are needed to understand the effects of diet and lifestyle within populations, assess the performance of interventions, and plan health services. No consistent and comparable global analysis of trends has been done. We estimated trends and their uncertainties in mean fasting plasma glucose (FPG) and diabetes prevalence for adults aged 25 years and older in 199 countries and territories. METHODS: We obtained data from health examination surveys and epidemiological studies (370 country-years and 2·7 million participants). We converted systematically between different glycaemic metrics. For each sex, we used a Bayesian hierarchical model to estimate mean FPG and its uncertainty by age, country, and year, accounting for whether a study was nationally, subnationally, or community representative. FINDINGS: In 2008, global age-standardised mean FPG was 5·50 mmol/L (95% uncertainty interval 5·37-5·63) for men and 5·42 mmol/L (5·29-5·54) for women, having risen by 0·07 mmol/L and 0·09 mmol/L per decade, respectively. Age-standardised adult diabetes prevalence was 9·8% (8·6-11·2) in men and 9·2% (8·0-10·5) in women in 2008, up from 8·3% (6·5-10·4) and 7·5% (5·8-9·6) in 1980. The number of people with diabetes increased from 153 (127-182) million in 1980, to 347 (314-382) million in 2008. We recorded almost no change in mean FPG in east and southeast Asia and central and eastern Europe. Oceania had the largest rise, and the highest mean FPG (6·09 mmol/L, 5·73-6·49 for men; 6·08 mmol/L, 5·72-6·46 for women) and diabetes prevalence (15·5%, 11·6-20·1 for men; and 15·9%, 12·1-20·5 for women) in 2008. Mean FPG and diabetes prevalence in 2008 were also high in south Asia, Latin America and the Caribbean, and central Asia, north Africa, and the Middle East. Mean FPG in 2008 was lowest in sub-Saharan Africa, east and southeast Asia, and high-income Asia-Pacific. In high-income subregions, western Europe had the smallest rise, 0·07 mmol/L per decade for men and 0·03 mmol/L per decade for women; North America had the largest rise, 0·18 mmol/L per decade for men and 0·14 mmol/L per decade for women. INTERPRETATION: Glycaemia and diabetes are rising globally, driven both by population growth and ageing and by increasing age-specific prevalences. Effective preventive interventions are needed, and health systems should prepare to detect and manage diabetes and its sequelae. FUNDING: Bill & Melinda Gates Foundation and WHO.

Virtual Interactive Case-Based Education (VICE): A Conference for Deliberate Practice of Diagnostic Reasoning.

Introduction: Current approaches to teaching diagnostic reasoning minimally address the need for deliberate practice. We developed an educational conference for internal medicine residents to practice diagnostic reasoning and examine how biases affect their differential diagnoses through cognitive autopsies. Methods: We formatted the Virtual Interactive Case-Based Education (VICE) conference as a clinical problem-solving exercise, in which a facilitator presents a case to a single discussant selected from the audience. We delivered VICE on an internet-based conferencing platform with screen-sharing capability over approximately 30 minutes. To maximize learners' psychological safety, we employed an active facilitation model that normalized uncertainty and prioritized the diagnostic process over arriving at the correct diagnosis. Results: Resident attitudes toward VICE were assessed by utilizing a postconference survey and gathering descriptive data for 11 sessions. Ninety-seven percent of respondents (n = 35) felt that VICE was a novel and valuable addition to their curriculum. Qualitative data suggested that positive features of the conference included the opportunity to practice diagnostic reasoning, the single-discussant format, and the supportive learning environment. Discussants reported that holding the conference in person would have negatively impacted their experience. Discussion: Internal medicine residents universally valued the opportunity to engage in deliberate practice of case-based reasoning in a psychologically safe environment during the VICE conference. The virtual nature of the conference contributed significantly to discussants' positive experience. This resource includes all materials necessary to implement VICE, as well as an instructional video on facilitation.

Facilitators and Barriers to Chronic Disease Self-Management and Mobile Health Interventions for People Living With Diabetes and Hypertension in Cambodia: Qualitative Study.

BACKGROUND: In many low- and middle-income countries (LMICs), heart disease and stroke are the leading causes of death as cardiovascular risk factors such as diabetes and hypertension rapidly increase. The Cambodian nongovernmental organization, MoPoTsyo, trains local residents with diabetes to be peer educators (PEs) to deliver chronic disease self-management training and medications to 14,000 people with hypertension and/or diabetes in Cambodia. We collaborated with MoPoTsyo to develop a mobile-based messaging intervention (mobile health; mHealth) to link MoPoTsyo's database, PEs, pharmacies, clinics, and people living with diabetes and/or hypertension to improve adherence to evidence-based treatment guidelines. OBJECTIVE: This study aimed to understand the facilitators and barriers to chronic disease management and the acceptability, appropriateness, and feasibility of mHealth to support chronic disease management and strengthen community-clinical linkages to existing services. METHODS: We conducted an exploratory qualitative study using semistructured interviews and focus groups with PEs and people living with diabetes and/or hypertension. Interviews were recorded and conducted in Khmer script, transcribed and translated into the English language, and uploaded into Atlas.ti for analysis. We used a thematic analysis to identify key facilitators and barriers to disease management and opportunities for mHealth content and format. The information-motivation-behavioral model was used to guide data collection, analysis, and message development. RESULTS: We conducted six focus groups (N=59) and 11 interviews in one urban municipality and five rural operating districts from three provinces in October 2016. PE network participants desired mHealth to address barriers to chronic disease management through reminders about medications, laboratory tests and doctor's consultations, education on how to incorporate self-management into their daily lives, and support for obstacles to disease management. Participants preferred mobile-based voice messages to arrive at dinnertime for improved phone access and family support. They desired voice messages over texts to communicate trust and increase accessibility for persons with limited literacy, vision, and smartphone access. PEs shared similar views and perceived mHealth as acceptable and feasible for supporting their work. We developed 34 educational, supportive, and reminder mHealth messages based on these findings. CONCLUSIONS: These mHealth messages are currently being tested in a cluster randomized controlled trial (#1R21TW010160) to improve diabetes and hypertension control in Cambodia. This study has implications for practice and policies in Cambodia and other LMICs and low-resource US settings that are working to engage PEs and build community-clinical linkages to facilitate chronic disease management.

Utilization of diabetes management health care services and its association with glycemic control among patients participating in a peer educator-based program in Cambodia.

BACKGROUND: Substantial evidence supports the effectiveness of peer educator programs for diabetes management in low- and middle-income countries. However, little is known about peer educators' impact relative to other treatment components such as medication and physician consultation. In Cambodia, the non-governmental organization MoPoTsyo organizes four services for people with diabetes: self-management training through peer educator visits, lab tests, physician consultations, and low-cost medicines. Our aims were to 1) quantify MoPoTsyo participant utilization of each program service and 2) define the relationship between each program service and glycemic control. METHODS: We conducted a retrospective cohort study among 4,210 MoPoTsyo participants, using data collected by MoPoTsyo from 2006-2016. Independent variables assessed were medication adherence, number of peer educator visits, number of physician consultations, and number of lab tests. A multiple logistic regression model was used to evaluate the association between these disease management services and glycemic control-fasting plasma glucose ≤130 mg/dl or post-prandial glucose ≤180 mg/dl-based on most recent glucose level. The model was adjusted for baseline demographic and disease characteristics. FINDINGS: Participants with 12 or more peer educator visits per year had a 35% higher odds of glycemic control relative to participants with 4 or fewer visits (odds ratio 1.35, 95% CI: 1.08-1.69; p = 0.009), after adjustment for utilization of other treatment components (medication adherence, number of physician visits, number of lab tests), follow-up time, and demographic and disease characteristics. Better adherence to medications and a greater number of lab tests per year were also associated with a higher odds of glycemic control after adjustment. Number of physician consultations was not associated with glycemic control after adjustment. CONCLUSIONS: This study demonstrates a positive association between peer educator utilization and glycemic control incremental to other elements of diabetes management. These results suggest that peer educators may be a valuable addition to comprehensive diabetes management programs in low- and middle-income countries even when other health care services are accessible. The associations identified in this research warrant further prospective studies to explore the causal impact of peer educators on glycemic control relative to other disease management components.

Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE).

BACKGROUND: Dietary habits are major contributors to coronary heart disease, stroke, and diabetes. However, comprehensive evaluation of etiologic effects of dietary factors on cardiometabolic outcomes, their quantitative effects, and corresponding optimal intakes are not well-established. OBJECTIVE: To systematically review the evidence for effects of dietary factors on cardiometabolic diseases, including comprehensively assess evidence for causality; estimate magnitudes of etiologic effects; evaluate heterogeneity and potential for bias in these etiologic effects; and determine optimal population intake levels. METHODS: We utilized Bradford-Hill criteria to assess probable or convincing evidence for causal effects of multiple diet-cardiometabolic disease relationships. Etiologic effects were quantified from published or de novo meta-analyses of prospective studies or randomized clinical trials, incorporating standardized units, dose-response estimates, and heterogeneity by age and other characteristics. Potential for bias was assessed in validity analyses. Optimal intakes were determined by levels associated with lowest disease risk. RESULTS: We identified 10 foods and 7 nutrients with evidence for causal cardiometabolic effects, including protective effects of fruits, vegetables, beans/legumes, nuts/seeds, whole grains, fish, yogurt, fiber, seafood omega-3s, polyunsaturated fats, and potassium; and harms of unprocessed red meats, processed meats, sugar-sweetened beverages, glycemic load, trans-fats, and sodium. Proportional etiologic effects declined with age, but did not generally vary by sex. Established optimal population intakes were generally consistent with observed national intakes and major dietary guidelines. In validity analyses, the identified effects of individual dietary components were similar to quantified effects of dietary patterns on cardiovascular risk factors and hard endpoints. CONCLUSIONS: These novel findings provide a comprehensive summary of causal evidence, quantitative etiologic effects, heterogeneity, and optimal intakes of major dietary factors for cardiometabolic diseases, informing disease impact estimation and policy planning and priorities.

Do healthier foods and diet patterns cost more than less healthy options? A systematic review and meta-analysis.

OBJECTIVE: To conduct a systematic review and meta-analysis of prices of healthier versus less healthy foods/diet patterns while accounting for key sources of heterogeneity. DATA SOURCES: MEDLINE (2000-2011), supplemented with expert consultations and hand reviews of reference lists and related citations. DESIGN: Studies reviewed independently and in duplicate were included if reporting mean retail price of foods or diet patterns stratified by healthfulness. We extracted, in duplicate, mean prices and their uncertainties of healthier and less healthy foods/diet patterns and rated the intensity of health differences for each comparison (range 1-10). Prices were adjusted for inflation and the World Bank purchasing power parity, and standardised to the international dollar (defined as US$1) in 2011. Using random effects models, we quantified price differences of healthier versus less healthy options for specific food types, diet patterns and units of price (serving, day and calorie). Statistical heterogeneity was quantified using I(2) statistics. RESULTS: 27 studies from 10 countries met the inclusion criteria. Among food groups, meats/protein had largest price differences: healthier options cost $0.29/serving (95% CI $0.19 to $0.40) and $0.47/200 kcal ($0.42 to $0.53) more than less healthy options. Price differences per serving for healthier versus less healthy foods were smaller among grains ($0.03), dairy (-$0.004), snacks/sweets ($0.12) and fats/oils ($0.02; p<0.05 each) and not significant for soda/juice ($0.11, p=0.64). Comparing extremes (top vs bottom quantile) of food-based diet patterns, healthier diets cost $1.48/day ($1.01 to $1.95) and $1.54/2000 kcal ($1.15 to $1.94) more. Comparing nutrient-based patterns, price per day was not significantly different (top vs bottom quantile: $0.04; p=0.916), whereas price per 2000 kcal was $1.56 ($0.61 to $2.51) more. Adjustment for intensity of differences in healthfulness yielded similar results. CONCLUSIONS: This meta-analysis provides the best evidence until today of price differences of healthier vs less healthy foods/diet patterns, highlighting the challenges and opportunities for reducing financial barriers to healthy eating.