Family-Based Motivational Interviewing and Resource Mobilization to Prevent Obesity: Living Well Together Trial.

OBJECTIVE: Test an obesity intervention for families with low incomes. METHODS: A total of 208 families were included (a parent with a body mass index [BMI] ≥ 30 and a child aged 6-12 years). A 12-month randomized controlled trial combining family health coaching (motivational interviewing) and connection to community resources. Comparison group: referrals for basic needs, written educational materials. Questionnaires, accelerometry, and anthropometrics. Intention-to-treat analysis of change in outcomes. Two-sided t test with multiple imputation. RESULTS: Parents were 95% female, 31% Black, and 27% Hispanic. Children had a mean BMI-Z score of 1.15. Primary outcomes did not differ between groups at 12 months. Both groups significantly (P < 0.05) improved on the Family Nutrition and Physical Activity Scale for behaviors related to childhood obesity (mean ± SE: comparison, 2.8 ± 1.0; intervention, 2.2 ± 0.9), increased child sedentary activity (comparison, 32.5 ± 12.1; intervention, 39.9 ± 12.4 min/d), and decreased child moderate-vigorous physical activity (comparison, -9.6 ± 3.3; intervention -7.0 ± 3.0 min/d). Parents had no change in BMI. CONCLUSIONS AND IMPLICATIONS: We successfully embedded screening and referral to address social needs within an obesity intervention. The coaching intervention did not provide additional benefits. Future research could explore ways to make these interventions more accessible, valuable, and effective for families.

Impact of a Remote Primary Care Telehealth Staffing Model on Primary Care Access in the Veterans Health Administration.

BACKGROUND: The Veterans Health Administration (VHA) implemented the Clinical Resource Hub (CRH) program to fill staffing gaps in primary care (PC) clinics via telemedicine and maintain veterans' healthcare access. OBJECTIVE: To evaluate PC wait times before and after CRH implementation. DESIGN: Comparative interrupted time series analysis among a retrospective observational cohort of PC clinics who did and did not use CRH during pre-implementation (October 2018-September 2019) and post-implementation (October 2019-February 2020) periods. PARTICIPANTS: Clinics completing ≥10 CRH visits per month for 2 consecutive months and propensity matched control clinics. MAIN MEASURES: Two measures of patient access (i.e., established, and new patient wait times) and one measure of clinic capacity (i.e., third next available appointment) were assessed. Clinics using CRH were 1:1 propensity score matched across clinical and demographic characteristics. Comparative interrupted time series models used linear mixed effects regression with random clinic-level intercepts and triple interaction (i.e., CRH use, pre- vs. post-implementation, and time) for trend and point estimations. KEY RESULTS: PC clinics using CRH (N = 79) were matched to clinics not using CRH (N = 79). In the 12-month pre-implementation, third next available time increased in CRH clinics (0.16 days/month; 95% CI = [0.07, 0.25]), and decreased in the 5 months post-implementation (-0.58 days/month; 95% CI = [-0.90, -0.27]). Post-implementation third next available time also decreased in control clinics (-0.48 days/month; 95% CI = [-0.81, -0.17]). Comparative differences remained non-significant. There were no statistical differences in established or new patient wait times by CRH user status, CRH implementation, or over time. CONCLUSIONS: In a national VHA telemedicine program developed to provide gap coverage for PC clinics, no wait time differences were observed between clinics using and not using CRH services. This hub-and-spoke telemedicine service is an effective model to provide gap coverage while maintaining access. Further investigation of quality and long-term access remains necessary.

Healthcare Utilization Differences Among Primary Care Patients Using Telemedicine in the Veterans Health Administration: a Retrospective Cohort Study.

BACKGROUND: The COVID-19 pandemic encouraged telemedicine expansion. Research regarding follow-up healthcare utilization and primary care (PC) telemedicine is lacking. OBJECTIVE: To evaluate whether healthcare utilization differed across PC populations using telemedicine. DESIGN: Retrospective observational cohort study using administrative data from veterans with minimally one PC visit before the COVID-19 pandemic (March 1, 2019-February 28, 2020) and after in-person restrictions were lifted (October 1, 2020-September 30, 2021). PARTICIPANTS: All veterans receiving VHA PC services during study period. MAIN MEASURES: Veterans' exposure to telemedicine was categorized as (1) in-person only, (2) telephone telemedicine (≥ 1 telephone visit with or without in-person visits), or (3) video telemedicine (≥ 1 video visit with or without telephone and/or in-person visits). Healthcare utilization 7 days after index PC visit were compared. Generalized estimating equations estimated odds ratios for telephone or video telemedicine versus in-person only use adjusted for patient characteristics (e.g., age, gender, race, residential rurality, ethnicity), area deprivation index, comorbidity risk, and intermediate PC visits within the follow-up window. KEY RESULTS: Over the 2-year study, 3.4 million veterans had 12.9 million PC visits, where 1.7 million (50.7%), 1.0 million (30.3%), and 649,936 (19.0%) veterans were categorized as in-person only, telephone telemedicine, or video telemedicine. Compared to in-person only users, video telemedicine users experienced higher rates per 1000 patients of emergent care (15.1 vs 11.2; p < 0.001) and inpatient admissions (4.2 vs 3.3; p < 0.001). In adjusted analyses, video versus in-person only users experienced greater odds of emergent care (OR [95% CI]:1.18 [1.16, 1.19]) inpatient (OR [95% CI]: 1.29 [1.25, 1.32]), and ambulatory care sensitive condition admission (OR [95% CI]: 1.30 [1.27, 1.34]). CONCLUSIONS: Telemedicine potentially in combination with in-person care was associated with higher follow-up healthcare utilization rates compared to in-person only PC. Factors contributing to utilization differences between groups need further evaluation.

Overcoming Obstacles: Barriers to Virtual Care Use Among Video-Enabled Tablet Recipients in the Veterans Health Administration.

INTRODUCTION: The Veterans Health Administration (VHA) distributes video-enabled tablets to individuals with barriers to accessing care. Data suggests that many tablets are under-used. We surveyed Veterans who received a tablet to identify barriers that are associated with lower use, and evaluated the impact of a telephone-based orientation call on reported barriers and future video use. METHODS: We used a national survey to assess for the presence of 13 barriers to accessing video-based care, and then calculated the prevalence of the barriers stratified by video care utilization in the 6 months after survey administration. We used multivariable modeling to examine the association between each barrier and video-based care use and evaluated whether a telephone-based orientation modified this association. RESULTS: The most prevalent patient-reported barriers to video-based care were not knowing how to schedule a visit, prior video care being rescheduled/canceled, and past problems using video care. Following adjustment, individuals who reported vision or hearing difficulties and those who reported that video care does not provide high-quality care had a 19% and 12% lower probability of future video care use, respectively. Individuals who reported no interest in video care, or did not know how to schedule a video care visit, had an 11% and 10% lower probability of being a video care user, respectively. A telephone-based orientation following device receipt did not improve the probability of being a video care user. DISCUSSION: Barriers to engaging in virtual care persist despite access to video-enabled devices. Targeted interventions beyond telephone-based orientation are needed to facilitate adoption and engagement in video visits.

Understanding rural-urban differences in veterans' internet access, use and patient preferences for telemedicine.

BACKGROUND: The expansion of telemedicine (e.g., telephone or video) in the Veterans Health Administration (VA) raises concerns for health care disparities between rural and urban veterans. Factors impeding telemedicine use (e.g., broadband, digital literacy, age) disproportionally affect rural veterans. PURPOSE: To examine veteran-reported broadband access, internet use, familiarity with, and preferences for telemedicine stratified by residential rurality. METHODS: Three hundred fifty veterans with a VA primary care visit in March 2022 completed a 30-min computer-assisted telephone interview. The sampling design stratified veterans by residential rurality (i.e., rural or urban) and how primary care was delivered (i.e., in-person or by video). Counts and weighted percentages are reported. FINDINGS: After accounting for survey weights, 96.2% of respondents had in-home internet access and 89.5% reported functional connection speeds. However, rural- compared to urban-residing veterans were less likely to experience a telemedicine visit in the past year (74.1% vs. 85.2%; p = 0.02). When comparing telemedicine to in-person visits, rural versus urban-residing veterans rated them not as good (45.3% vs. 36.8%), just as good (51.1% vs. 53.1%), or better (3.5% vs. 10.0%) (p = 0.05). To make telemedicine visits easier, veterans, regardless of where they lived, recommended technology training (46.4%), help accessing the internet (26.1%), or provision of an internet-enabled device (25.9%). CONCLUSIONS: Though rural-residing veterans were less likely to experience a telemedicine visit, the same actionable facilitators to improve telemedicine access were reported regardless of residential rurality. Importantly, technology training was most often recommended. Policy makers, patient advocates, and other stakeholders should consider novel initiatives to provide training resources.

Implementation of a Prevention Bundle to Decrease Rates of Staphylococcus aureus Surgical Site Infection at 11 Veterans Affairs Hospitals.

Importance: While current evidence has demonstrated a surgical site infection (SSI) prevention bundle consisting of preoperative Staphylococcus aureus screening, nasal and skin decolonization, and use of appropriate perioperative antibiotic based on screening results can decrease rates of SSI caused by S aureus, it is well known that interventions may need to be modified to address facility-level factors. Objective: To assess the association between implementation of an SSI prevention bundle allowing for facility discretion regarding specific component interventions and S aureus deep incisional or organ space SSI rates. Design, Setting, and Participants: This quality improvement study was conducted among all patients who underwent coronary artery bypass grafting, cardiac valve replacement, or total joint arthroplasty (TJA) at 11 Veterans Administration hospitals. Implementation of the bundle was on a rolling basis with the earliest implementation occurring in April 2012 and the latest implementation occurring in July 2017. Data were collected from January 2007 to March 2018 and analyzed from October 2020 to June 2023. Interventions: Nasal screening for S aureus; nasal decolonization of S aureus carriers; chlorhexidine bathing; and appropriate perioperative antibiotic prophylaxis according to S aureus carrier status. Facility discretion regarding how to implement the bundle components was allowed. Main Outcomes and Measures: The primary outcome was deep incisional or organ space SSI caused by S aureus. Multivariable logistic regression with generalized estimating equation (GEE) and interrupted time-series (ITS) models were used to compare SSI rates between preintervention and postintervention periods. Results: Among 6696 cardiac surgical procedures and 16 309 TJAs, 95 S aureus deep incisional or organ space SSIs were detected (25 after cardiac operations and 70 after TJAs). While the GEE model suggested a significant association between the intervention and decreased SSI rates after TJAs (adjusted odds ratio, 0.55; 95% CI, 0.31-0.98), there was not a significant association when an ITS model was used (adjusted incidence rate ratio, 0.88; 95% CI, 0.32-2.39). No significant associations after cardiac operations were found. Conclusions and Relevance: Although this quality improvement study suggests an association between implementation of an SSI prevention bundle and decreased S aureus deep incisional or organ space SSI rates after TJAs, it was underpowered to see a significant difference when accounting for changes over time.

Quantifying the Digital Divide: Associations of Broadband Internet with Tele-mental Health Access Before and During the COVID-19 Pandemic.

BACKGROUND: During the COVID-19 pandemic, telemedicine quickly expanded. Broadband speeds may impact equitable access to video-based mental health (MH) services. OBJECTIVE: To identify access disparities in Veterans Health Administration (VHA) MH services based on broadband speed availability. DESIGN: Instrumental variable difference-in-differences study using administrative data to identify MH visits prior to (October 1, 2015-February 28, 2020) and after COVID-19 pandemic onset (March 1, 2020-December 31, 2021) among 1176 VHA MH clinics. The exposure is broadband download and upload speeds categorized as inadequate (download ≤25 Megabits per second - Mbps; upload ≤3 Mbps), adequate (download ≥25 Mbps and <100 Mbps; upload ≥5 Mbps and <100 Mbps), or optimal (download and upload ≥100/100 Mbps) based on data reported to the Federal Communications Commission at the census block and spatially merged to each veteran's residential address. PARTICIPANTS: All veterans receiving VHA MH services during study period. MAIN MEASURES: MH visits were categorized as in-person or virtual (i.e., telephone or video). By patient, MH visits were counted quarterly by broadband category. Poisson models with Huber-White robust errors clustered at the census block estimated the association between a patient's broadband speed category and quarterly MH visit count by visit type, adjusted for patient demographics, residential rurality, and area deprivation index. KEY RESULTS: Over the 6-year study period, 3,659,699 unique veterans were seen. Adjusted regression analyses estimated the change after pandemic onset versus pre-pandemic in patients' quarterly MH visit count; patients living in census blocks with optimal versus inadequate broadband increased video visit use (incidence rate ratio (IRR) = 1.52, 95% CI = 1.45-1.59; P < 0.001) and decreased in-person visits (IRR = 0.92, 95% CI = 0.90-0.94; P < 0.001). CONCLUSIONS: This study found patients with optimal versus inadequate broadband availability had more video-based and fewer in-person MH visits after pandemic onset, suggesting broadband availability is an important determinant of access-to-care during public health emergencies requiring remote care.

Rates of Primary Care and Integrated Mental Health Telemedicine Visits Between Rural and Urban Veterans Affairs Beneficiaries Before and After the Onset of the COVID-19 Pandemic.

Importance: Telemedicine can increase access to care, but uptake has been low among people living in rural areas. The Veterans Health Administration initially encouraged telemedicine uptake in rural areas, but telemedicine expansion efforts have broadened since the COVID-19 pandemic. Objective: To examine changes over time in rural-urban differences in telemedicine use for primary care and for mental health integration services among Veterans Affairs (VA) beneficiaries. Design, Setting, and Participants: This cohort study examined 63.5 million primary care and 3.6 million mental health integration visits across 138 VA health care systems nationally from March 16, 2019, to December 15, 2021. Statistical analysis took place from December 2021 to January 2023. Exposures: Health care systems with most clinic locations designated as rural. Main Outcomes and Measures: For every system, monthly visit counts for primary care and mental health integration specialties were aggregated from 12 months before to 21 months after pandemic onset. Visits were categorized as in person or telemedicine, including video. A difference-in-difference approach was used to examine associations in visit modality by health care system rurality and pandemic onset. Regression models also adjusted for health care system size as well as relevant patient characteristics (eg, demographic characteristics, comorbidities, broadband internet access, and tablet access). Results: The study included 63 541 577 primary care visits (6 313 349 unique patients) and 3 621 653 mental health integration visits (972 578 unique patients) (6 329 124 unique patients among the cohort; mean [SD] age, 61.4 [17.1] years; 5 730 747 men [90.5%]; 1 091 241 non-Hispanic Black patients [17.2%]; and 4 198 777 non-Hispanic White patients [66.3%]). In fully adjusted models for primary care services before the pandemic, rural VA health care systems had higher proportions of telemedicine use than urban ones (34% [95% CI, 30%-38%] vs 29% [95% CI, 27%-32%]) but lower proportions of telemedicine use than urban health care systems after pandemic onset (55% [95% CI, 50%-59%] vs 60% [95% CI, 58%-62%]), signifying a 36% reduction in the odds of telemedicine use (odds ratio [OR], 0.64; 95% CI, 0.54-0.76). The rural-urban telemedicine gap was even larger for mental health integration (OR, 0.49; 95% CI, 0.35-0.67) than for primary care services. Few video visits occurred across rural and urban health care systems (unadjusted percentages: before the pandemic, 2% vs 1%; after the pandemic, 4% vs 8%). Nonetheless, there were rural-urban divides for video visits in both primary care (OR, 0.28; 95% CI, 0.19-0.40) and mental health integration services (OR, 0.34; 95% CI, 0.21-0.56). Conclusions and Relevance: This study suggests that, despite initial telemedicine gains at rural VA health care sites, the pandemic was associated with an increase in the rural-urban telemedicine divide across the VA health care system. To ensure equitable access to care, the VA health care system's coordinated telemedicine response may benefit from addressing rural disparities in structural capacity (eg, internet bandwidth) and from tailoring technology to encourage adoption among rural users.

A Novel Gap Staffing Metric for Primary Care in the Veterans Health Administration and Implications for Rural and Urban Clinics.

Primary care providers (PCPs), including physicians and advanced practice providers, are the front line of medical care. Patient access must balance PCP availability and patient needs. This work develops a new PCP staffing metric using panel size and full-time equivalent data to determine whether a clinic is adequately staffed and describes variation by clinic rurality. Data were from the Veterans Health Administration, 2017-2021. Results describe the gap staffing metric, provide summary graphics, and compare the gap staffing between rural and urban clinics. This novel gap staffing metric can inform strategic clinic staffing in health care systems.

Associations among enacted weight stigma, weight self-stigma, and multiple physical health outcomes, healthcare utilization, and selected health behaviors.

BACKGROUND: This study examined the relationship among enacted weight stigma, weight self-stigma, and multiple health outcomes. Weight stigma, a stressor experienced across all body sizes, may contribute to poorer physical health outcomes by activating the nervous and endocrine system or by triggering counterproductive health behaviors like lower physical activity, maladaptive eating patterns, and delayed health care, as well as provider bias that may cause a medical concern to be discounted. While associations of weight stigma with mental health issues are well documented, less is known about its association with physical health. METHODS: We enrolled 3821 adults who completed an online survey assessing enacted weight stigma, weight self-stigma, multiple self-reported physical health outcomes, healthcare utilization, and selected health behaviors. RESULTS: After controlling for BMI, health care delay or avoidance, sedentary behavior, and selected demographic characteristics, enacted weight stigma, significantly increased the odds of six physical health problems including hypertension (OR 1.36; CI 1.08, 1.72), hyperglycemia (OR 1.73; CI 1.29, 2.31), thyroid disorder, (OR 1.65; CI 1.27, 2.13), any arthritis (OR 1.70; CI 1.27, 2.26), non-arthritic chronic pain (OR 1.76; CI 1.4, 2.29), and infertility (OR 1.53; CI 1.14, 2.05). Weight self-stigma significantly increased the odds for three physical health problems including hypertension (OR 1.43; CI 1.16, 1.76), hyperglycemia (OR 1.37; CI 1.03, 1.81), and non-arthritic chronic pain (OR 1.5; CI 1.2,1.87). Enacted stigma was associated with more than a four-fold increase in odds of believing that a medical concern was disregarded by a health care provider. CONCLUSIONS: In this study, enacted stigma and weight self-stigma were independently associated with heightened risk for multiple physical health problems, as well as, believing health concerns were discounted by providers. Reducing weight stigma may be an important component of managing multiple physical health conditions.

Association of Adequacy of Broadband Internet Service With Access to Primary Care in the Veterans Health Administration Before and During the COVID-19 Pandemic.

Importance: Although telemedicine expanded rapidly during the COVID-19 pandemic and is widely available for primary care, required broadband internet speeds may limit access. Objective: To identify disparities in primary care access in the Veterans Health Administration based on the association between broadband availability and primary care visit modality. Design, Setting, and Participants: This cohort study used administrative data on veterans enrolled in Veterans Health Administration primary care to identify visits at 937 primary care clinics providing telemedicine and in-person clinical visits before the COVID-19 pandemic (October 1, 2016, to February 28, 2020) and after the onset of the pandemic (March 1, 2020, to June 30, 2021). Exposures: Federal Communications Commission-reported broadband availability was classified as inadequate (download speed, ≤25 MB/s; upload speed, ≤3 MB/s), adequate (download speed, ≥25 <100 MB/s; upload speed, ≥5 and <100 MB/s), or optimal (download and upload speeds, ≥100 MB/s) based on data reported at the census block by internet providers and was spatially merged to the latitude and longitude of each veteran's home address using US Census Bureau shapefiles. Main Outcomes and Measures: All visits were coded as in-person or virtual (ie, telephone or video) and counted for each patient, quarterly by visit modality. Poisson models with Huber-White robust errors clustered at the census block estimated the association between a patient's broadband availability category and the quarterly primary care visit count by visit type, adjusted for covariates. Results: In primary care, 6 995 545 veterans (91.8% men; mean [SD] age, 63.9 [17.2] years; 71.9% White; and 63.0% residing in an urban area) were seen. Adjusted regression analyses estimated the change after the onset of the pandemic vs before the pandemic in patients' quarterly primary care visit count; patients living in census blocks with optimal vs inadequate broadband had increased video visit use (incidence rate ratio [IRR], 1.33; 95% CI, 1.21-1.46; P < .001) and decreased in-person visits (IRR, 0.84; 95% CI, 0.84-0.84; P < .001). The increase in the rate of video visits before vs after the onset of the pandemic was greatest among patients in the lowest Area Deprivation Index category (indicating least social disadvantage) with availability of optimal vs inadequate broadband (IRR, 1.73; 95% CI, 1.42-2.09). Conclusions and Relevance: This cohort study found that patients with optimal vs inadequate broadband availability had more video-based primary care visits and fewer in-person primary care visits after the onset of the COVID-19 pandemic, suggesting that broadband availability was associated with video-based telemedicine use. Future work should assess the association of telemedicine access with clinical outcomes.

Resource mobilization combined with motivational interviewing to promote healthy behaviors and healthy weight in low-income families: An intervention feasibility study.

Objectives: This non-randomized pilot trial examined the feasibility and acceptability of an intervention for low-income families with one parent with obesity, glucose intolerance and/or diabetes. Methods: The 12-month intervention combined health coaching using motivational interviewing to promote lifestyle behavior change and community resource mobilization to assist with basic needs plus diet quality and physical activity. Outcome measures included process measures, open-ended questions, and the Family Nutrition and Physical Activity scale. Results: Forty-five families completed an average of 2.1 health coach in-person visits, including 15 families lost to follow-up. Parents who stayed in the intervention reported the intervention was helpful. Some families and the health coach had difficulties contacting one another, and some of these families reported they would have liked more sessions with the coach. The Family Nutrition and Physical Activity scores improved significantly for all children (6 months: 2.9; p < .01; 12 months: 3.2; p < .05) and at 6 months for index children (6 months: 3.5; p < .01; 12 months: 2.9; p = .09). There was variation in the FNPA and other outcome changes between families. Conclusion: This intervention was feasible in terms of recruitment and delivery of family sessions and community referrals and acceptable to participants, but maintaining contact with participants was difficult. Findings warrant improvements to help retention and logistical aspects of communication between families and coaches and testing in a randomized, controlled trial.

Association of interactions between Tele-critical care and bedside with length of stay and mortality.

INTRODUCTION: Substantial variation exists in telemedicine critical care (Tele-CC) effectiveness, which may be explained by heterogeneity in Tele-CC implementation and utilization. METHODS: We studied inpatient intensive care unit (ICU) admissions within the Veterans Health Administration from January 2005 to September 2018. Tele-CC affiliation was based on a facility's Tele-CC go-live date. Tele-CC interaction was quantified as the monthly number of video activations, recorded in the eCaremanager® (Phillips) system, per patient days. Tele-CC affiliated facilities were propensity-score matched to facilities without Tele-CC by hospital volume and average modified APACHE scores. We examined the effect of Tele-CC affiliation and the quantity of video interactions between Tele-CC and bedside on hospital outcomes. RESULTS: Comparing Tele-CC affiliated and control facilities, affiliated patients were, on average, younger (66.8 years vs 67.8 years; p < 0.001) and more likely to be rural residents (11.3% vs 6.5%; p < 0.001). Stratifying the Tele-CC affiliated facilities, facilities with frequent interactions care for more rural and sicker patients relative to facilities with infrequent interactions. Adjusting for patient demographics, facilities in the top tertile of interactions and propensity score matched control facilities were assessed; patients in ICU's with Tele-CC access experienced shorter ICU-specific lengths of stay (RR = 0.39; 95% CI = [0.23, 0.65]). However, when facilities in the bottom tertile and propensity score matched control facilities were assessed, no significant differences were noted in ICU length of stay. DISCUSSION: Tele-CC interactions may occur more frequently for higher acuity patients. Increased Tele-CC interactions may improve health outcomes for the most acute and complex ICU cases.

A randomized controlled trial of a community-based obesity intervention utilizing motivational interviewing and community resource mobilization for low-income families: Study protocol and baseline characteristics.

Low-income, racially diverse families with one parent with obesity are at high risk for child obesity. Effective approaches to promote healthy behaviors and prevent additional weight gain in family members are needed. Motivational interviewing (MI) may assist families to engage, identify motivations for change and establish goals. However, families with limited resources face other barriers to goal achievement that may be addressed through connection with community organizations. This paper describes a unique protocol combining MI and community connection. This randomized controlled trial includes low-income families with one parent with obesity and at least one child aged 6 to 12 years. Families in the intervention group receive an innovative, 12-month intervention combining health coaching using MI to promote lifestyle behavior change goals and community resource mobilization to assist with basic needs and resources to aid goals. The study protocol is modeled on community-based participatory research principles. Data is collected at baseline, 6 months, 12 months, and 18 months include questionnaires, body measurements, and accelerometer data. For adults, primary outcomes are Body Mass Index (BMI), minutes of moderate to vigorous physical activity (MVPA), and hours of sedentary time per day. For children, primary outcomes are sedentary time, MVPA, and the Family Nutrition and Physical Activity Score. From this hard-to-reach population, 236 diverse families were recruited. If the study is deemed effective, it has the potential to demonstrate that the combination of MI, resource mobilization, and utilization of existing community organizations is a sustainable model to assist families at risk for obesity.

Using nasal povidone-iodine to prevent bloodstream infections and transmission of Staphylococcus aureus among haemodialysis patients: a stepped-wedge cluster randomised control trial protocol.

INTRODUCTION: Approximately 38% of haemodialysis patients carry Staphylococcus aureus in their noses, and carriers have a nearly four-fold increased risk of S. aureus access-related bloodstream infections (BSIs) compared with non-carriers. Our objective is to determine the clinical efficacy and effectiveness of a novel intervention using nasal povidone-iodine (PVI) to prevent BSIs among patients in haemodialysis units. We will survey patients and conduct qualitative interviews with healthcare workers to identify barriers and facilitators to implementing the intervention. METHODS AND ANALYSIS: We will perform an open-label, stepped-wedge cluster randomised trial to assess the effectiveness of nasal PVI compared with standard care. Sixteen outpatient haemodialysis units will participate in the study. The 3-year trial period will be divided into a 4-month baseline period and eight additional 4-month time blocks. The primary outcome of the study will be S. aureus BSI, defined as a S. aureus positive blood culture collected in the outpatient setting or within one calendar day after a hospital admission. The study team will evaluate characteristics of individual patients and the clusters by exposure status (control or intervention) to assess the balance between groups, and calculate descriptive statistics such as average responses separately for control and intervention survey questions. ETHICS AND DISSEMINATION: This study has received IRB approval from all study sites. A Data Safety and Monitoring Board will monitor this multicentre clinical trial. We will present our results at international meetings. The study team will publish findings in peer-reviewed journals and make each accepted peer-reviewed manuscript publicly available. TRIAL REGISTRATION NUMBER: NCT04210505.

Hospital Variation in Non-Invasive Ventilation Use for Acute Respiratory Failure Due to COPD Exacerbation.

BACKGROUND: Non-invasive mechanical ventilation (NIV) use in patients admitted with acute respiratory failure due to COPD exacerbations (AECOPDs) varies significantly between hospitals. However, previous literature did not account for patients' illness severity. Our objective was to examine the variation in risk-standardized NIV use after adjusting for illness severity. METHODS: We retrospectively analyzed AECOPD hospitalizations from 2011 to 2017 at 106 acute-care Veterans Health Administration (VA) hospitals in the USA. We stratified hospitals based on the percentage of NIV use among patients who received ventilation support within the first 24 hours of admission into quartiles, and compared patient characteristics. We calculated the risk-standardized NIV % using hierarchical models adjusting for comorbidities and severity of illness. We then stratified the hospitals by risk-standardized NIV % into quartiles and compared hospital characteristics between quartiles. We also compared the risk-standardized NIV % between rural and urban hospitals. RESULTS: In 42,048 admissions for AECOPD over 6 years, the median risk-standardized initial NIV % was 57.3% (interquartile interval [IQI]=41.9-64.4%). Hospitals in the highest risk-standardized NIV % quartiles cared for more rural patients, used invasive ventilators less frequently, and had longer length of hospital stay, but had no difference in mortality relative to the hospitals in the lowest quartiles. The risk-standardized NIV % was 65.3% (IQI=34.2-84.2%) in rural and 55.1% (IQI=10.8-86.6%) in urban hospitals (p=0.047), but hospital mortality did not differ between the two groups. CONCLUSION: NIV use varied significantly across hospitals, with rural hospitals having higher risk-standardized NIV % rates than urban hospitals. Further research should investigate the exact mechanism of variation in NIV use between rural and urban hospitals.

Discordant Quantitative and Visual CT Assessments in the Diagnosis of Emphysema.

PURPOSE: Visual assessment of computed tomography (CT) of the lung is routinely employed in the diagnosis of emphysema. Quantitative CT (QCT) can complement visual CT but must be well validated. QCT emphysema is defined as ≥5% of lung volume occupied by low attenuation areas ≤-950 Hounsfield units (LAA-950). Discordant visual and QCT assessments are not uncommon. We examined the association between visual and quantitative chest CT evaluation within a large cohort of subjects to identify variables that may explain discordant visual and QCT findings. MATERIALS AND METHODS: Volumetric inspiratory CT scans of 1221 subjects enrolled in phase 1 of the COPDGene study conducted at the University of Iowa were reviewed. Participants included never smokers, smokers with normal spirometry, preserved ratio impaired spirometry, and Global Initiative for Obstructive Lung Disease (GOLD) stages I-IV. CT scans were quantitatively scored and visually interpreted by both the COPDGene Imaging Center and the University of Iowa radiologists. Individual-level visual assessments were compared with QCT measurements. Agreement between the two sets of radiologists was calculated using kappa statistic. We assessed variables associated with discordant results using regression methods. RESULTS: There was a fair agreement for the presence or absence of emphysema between our center's radiologists and QCT (61% concordance, kappa 0.22 [0.17-0.28]). Similar comparisons showed a slight agreement between the COPDGene Imaging Center and QCT (56% concordance, kappa 0.16 [0.11-0.21]), and a moderate agreement between both sets of visual assessments (80% concordance, kappa 0.60 [0.54-0.65]). Current smoking and female gender were significantly associated with QCT-negative but visually detectable emphysema. CONCLUSION: The slight-to-fair agreement between visual and quantitative CT assessment of emphysema highlights the need to utilize both modalities for a comprehensive radiologic evaluation. Discordant results may be attributable to one or more factors that warrant further exploration in larger studies. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT000608764.

Leading by Example: Association Between Mother and Child Objectively Measured Physical Activity and Sedentary Behavior.

PURPOSE: The authors examined the relationship between mother and child activity. METHODS: The authors compared moderate-vigorous physical activity (MVPA) and sedentary time of low-income mothers with obesity and their 6- to 12-year-old children on week (WD) and weekend (WE) days. A total of 196 mother-child pairs wore accelerometers simultaneously for a week. Mothers completed questionnaires. Spearman correlation and multivariate regression were used. RESULTS: WE MVPA (accelerometry) was significantly correlated between mothers with children aged 6-7 (rs = .35) and daughters (rs = .27). Self-reported maternal PA time spent with one of their children was significantly correlated with the WE MVPA of all children (rs = .21) and children aged 8-10 (rs = .22) and with the WD MVPA of all children (rs = .15), children aged 8-10 (rs = .23), aged 11-12 (rs = .52), and daughters (rs = .37), and inversely correlated to the WD sedentary time of all children (rs = -.21), children aged 8-10 (rs = -.30), aged 11-12 (rs = -.34), daughters (rs = -.26), and sons (rs = -.22). In multivariate regression, significant associations were identified between reported child-mother PA time together and child MVPA and sedentary time (accelerometry). CONCLUSIONS: Mothers may influence the PA levels of their children with the strongest associations found in children aged 6-7 and daughters. Mother-child coparticipation in PA may lead to increased child MVPA and decreased sedentary behavior.

Implementing a Telehospitalist Program Between Veterans Health Administration Hospitals: Outcomes, Acceptance, and Barriers to Implementation.

BACKGROUND: Telehospitalist services are an innovative alternative approach to address staffing issues in rural and small hospitals. OBJECTIVE: To determine clinical outcomes and staff and patient satisfaction with a novel telehospitalist program among Veterans Health Administration (VHA) hospitals. DESIGN, SETTING, AND PARTICIPANTS: We conducted a mixed-methods evaluation of a quality improvement program with pre- and postimplementation measures. The hub site was a tertiary (high-complexity) VHA hospital, and the spoke site was a 10-bed inpatient medical unit at a rural (low-complexity) VHA hospital. All patients admitted during the study period were assigned to the spoke site. INTERVENTION: Real-time videoconferencing was used to connect a remote hospitalist physician with an on-site advanced practice provider and patients. Encounters were documented in the electronic health record. MAIN OUTCOMES: Process measures included workload, patient encounters, and daily census. Outcome measures included length of stay (LOS), readmission rate, mortality, and satisfaction of providers, staff, and patients. Surveys measured satisfaction. Qualitative analysis included unstructured and semi-structured interviews with spoke-site staff. RESULTS: Telehospitalist program implementation led to a significant reduction in LOS (3.0 [SD, 0.7] days vs 2.3 [SD, 0.3] days). The readmission rate was slightly higher in the telehospitalist group, with no change in mortality rate. Satisfaction among teleproviders was very high. Hub staff perceived the service as valuable, though satisfaction with the program was mixed. Technology and communication challenges were identified, but patient satisfaction remained mostly unchanged. CONCLUSION: Telehospitalist programs are a feasible and safe way to provide inpatient coverage and address rural hospital staffing needs. Ensuring adequate technological quality and addressing staff concerns in a timely manner can enhance program performance.