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.

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.

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.

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.

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.

Association Between Rural Residence and In-Hospital and 30-Day Mortality Among Veterans Hospitalized with COPD Exacerbations.

BACKGROUND: We explored the relationship between rural residency and in-hospital mortality in patients hospitalized with COPD exacerbations. METHODS: We retrospectively analyzed COPD hospitalizations from 2011 to 2017 at 124 acute care Veterans Health Administration (VHA) hospitals in the US. Patient residence was classified using Rural Urban Commuting Area codes as urban, rural, or isolated rural. We stratified patient hospitalizations into quartiles by travel time from patient residence to the nearest VHA primary care provider clinic and hospital. Multivariate analyses utilized generalized estimating equations with a logit link accounting for repeated hospitalizations among patients and adjusting for patient- and hospital-level characteristics. RESULTS: Of 64,914 COPD hospitalizations analyzed, 43,549 (67.1%) were for urban, 18,673 (28.8%) for rural, and 2,692 (4.1%) for isolated rural veterans. In-hospital mortality was 4.9% in urban, 5.5% in rural, and 5.2% in isolated rural veterans (P=0.008). Thirty-day mortality was 8.3% in urban, 9.9% in rural, and 9.2% in isolated rural veterans (P<0.001). Travel time to a primary care provider and VHA hospital was not associated with in-hospital mortality among isolated rural and rural veterans. In the multivariable analysis, compared to urban veterans, isolated rural patients did not have increased mortality. Rural residence was not associated with in-hospital (OR=0.87; 95% CI=0.67-1.12, P=0.28) but was associated with increased 30-day mortality (OR=1.13; 95% CI=1.04-1.22, P=0.002). Transfer from another acute care hospital (OR=14.97; 95% CI=9.80-17.16, P<0.001) or an unknown/other facility (OR=33.05; 95% CI=22.66-48.21, P<0.001) were the strongest predictors of increased in-hospital mortality compared to patients coming from the outpatient sector. Transfer from another acute care facility was also a risk factor for 30-day mortality. CONCLUSION: Potential gaps in post-discharge care of rural veterans may be responsible for the rural-urban disparities. Further research should investigate the exact mechanism that inter-hospital transfers affect mortality.

Association of Secure Messaging with Primary Care In-Person and Telephone Visits Among Veterans: a Matched Difference-in-Difference Analysis.

BACKGROUND: Secure messaging (SM) between patients and primary care teams has expanded care access but may impact other clinical encounters. OBJECTIVE: To study associations between SM use and primary care in-person and telephone visits in the Veterans Health Administration (VHA). DESIGN: The SM feature of VHA's patient portal, MyHealtheVet, supports asynchronous communication between patients and primary care teams. To study the impact of SM on in-person and telephone visits, two analyses were performed: (1) a retrospective pre-/post-analysis comparing changes after initiating SM use and (2) a difference-in-difference comparison among SM users and non-users 1 year before and after index SM use. Matching to non-users was by primary care team, demographics, and predicted propensity of SM use by Nosos comorbidity score and drive time to clinic. PATIENTS: In 2016, 154,053 Veterans initiated SM from all primary care patients (N = 5,891,893); 25,683 were propensity-matched to controls (N = 49,266) from the same primary care team not using SM. MAIN MEASURES: Primary care provider in-person visits and telephone contacts between patients and their primary care team were assessed 1 year prior and post index SM. KEY RESULTS: Overall, primary care in-person visits decreased 13.3% (p < 0.0001); telephone visits increased 13.5% (p < 0.0001). In the matched analysis, in-person primary care visits decreased by 16.0% (p < 0.0001) by SM users and 9.9% (p < 0.0001) among controls, resulting in a across-group decrease of 6.1% in-person visits after SM initiation. Telephone visits increased by 11.0% (p < 0.0001) for SM users and 4.5% for controls (p < 0.0001) resulting in an across-group increase of 6.5% telephone visits after SM initiation. CONCLUSIONS: Use of SM was associated with decreased in-person visits and increased telephone visits. This may improve clinic appointment availability, while increasing time commitments for providers for non-traditional forms of access.

A simplified critical illness severity scoring system (CISSS): Development and internal validation.

PURPOSE: To create a simplified critical illness severity scoring system with high prediction accuracy for 30-day mortality using only commonly available variables. MATERIALS AND METHODS: This is a retrospective cohort study of ICU admissions 2010-2015 in 306 ICUs in 117 Veterans Affairs (VA) hospitals. We randomly divided our cohort into a training dataset (75%) and a validation dataset (25%). We created a critical illness severity scoring system (CISSS) using age, comorbidities, heart rate, mean arterial blood pressure, temperature, respiratory rate, hematocrit, white blood cell count, creatinine, sodium, glucose, albumin, bilirubin, bicarbonate, use of invasive mechanical ventilation, and whether the admission was surgical or not. We validated the performance of CISSS to predict 30-day mortality internally. RESULTS: After excluding 31,743 re-admissions, we divided our sample (n = 534,001) into a training (n = 400,613) and a validation dataset (n = 133,388). In the training dataset, the area under the curve (AUC) of CISSS was 0.847(95%CI = 0.845-0.850). In the validation dataset, the AUC was 0.848 (95%CI = 0.844-0.852), the standardized mortality ratio (SMR) was 1.00 (95%CI = 0.98-1.02), and Brier's score for 30-day mortality was 0.058 (95%CI = 0.057-0.059). CISSS calibration was acceptable. CONCLUSIONS: CISSS has very good performance and requires only commonly used variables that can be easily extracted by electronic health records.

Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project.

BACKGROUND: Kidney disease accounts for more than 49 billion dollars in healthcare expenditures annually. Early detection and intervention may reduce the burden of disease. We describe a quality improvement project to develop a telenephrology dashboard that proactively monitors kidney disease. METHODS: One hundred eighty-four thousands Veterans within the Iowa City Veterans Affairs Health Care System were eligible for telenephrology consultation. The dashboard accessed the charts of 53,085 Veterans at risk for kidney disease. We utilized Lean-Six Sigma tools and principles and the Define-Measure-Analyze-Improve-Control Framework to develop and deploy a telenephrology dashboard in 4 community-based outpatient clinics (CBOCs). The primary measure was the number of days to complete consultation. Secondary measures included number of electronic consultations per month, distance and cost of Veteran travel saved, and number of steps for completion of consult. RESULTS: The data of 1384 Veterans at the 4 CBOCs were analyzed by the telenephrology dashboard, of which 459 generated telenephrology consults. The number of days to complete any type of consultation was unchanged (48.9 days in 2019, compared to 41.6 days in 2017). The average Veteran saved between $21.60 to $63.90 per trip to Iowa City. Between March 2019 and August 2019, there were 27.3 telenephrology consults per month. The number of steps needed to complete the consult request was decreased from 13 to 9. CONCLUSIONS: Utilization of the telenephrology dashboard system contributed to an increase in consultations completed through electronic means without decreasing face-to-face consults. Electronic consults now outnumber traditional face-to-face consultations at our institution. Telenephrology consultation improved early detection and identification of kidney disease and saved time and costs for Veterans in travel, but did not decrease the average number of days to complete consultation requests.

Positive Predictive Values of 2 Algorithms for Identifying Patients with Intravenous Drug Use-Associated Endocarditis Using Administrative Data.

BACKGROUND: Prior studies have used International Classification of Disease (ICD) diagnosis codes in administrative data to identify patients with infective endocarditis (IE) associated with intravenous drug use (IVDU). Little is known about the accuracy of ICD codes for IVDU-IE. METHODS: We used 2 previously described algorithms to identify patients with potential IVDU-IE admitted to 125 Veterans Administration hospitals from January 2010 through December 2018. Algorithm A identified patients with concurrent ICD-9/10 codes for IE and drug use during the same admission. Algorithm B identified patients with drug use coded either during the IE admission or during outpatient or other visits within 6 months of admission. We reviewed 400 randomly selected patient charts to determine the positive predictive value (PPV) of each algorithm for clinical documentation of IE, any drug use, IVDU, and IVDU-IE, respectively. RESULTS: Algorithm A identified 788 patients, and B identified 1314 patients, a 68% increase. PPVs were high for clinical documentation of diagnoses of IE (86.5% for A and 82.6% for B) and any drug use (99.0% and 96.3%). PPVs were lower for documented IVDU (74.5% and 64.1%) and combined diagnoses of IVDU-IE (65.0% and 55.2%), partly because of a lack of ICD codes specific to IVDU. Among patients identified by algorithm B but not A, 72% had clinical documentation of drug use during the IE admission, indicating a failure of algorithm A to capture cases due to incomplete recording of inpatient ICD codes for drug use. CONCLUSIONS: There is need for improved algorithms for IVDU-IE surveillance during the ongoing opioid epidemic.

Effect of Frequency of Changing Point-of-Use Reminder Signs on Health Care Worker Hand Hygiene Adherence: A Cluster Randomized Clinical Trial.

Importance: Although hand hygiene (HH) is considered the most effective strategy for preventing hospital-acquired infections, HH adherence rates remain poor. Objective: To examine whether the frequency of changing reminder signs affects HH adherence among health care workers. Design, Setting, and Participants: This cluster randomized clinical trial in 9 US Department of Veterans Affairs acute care hospitals randomly assigned 58 inpatient units to 1 of 3 schedules for changing signs designed to promote HH adherence among health care workers: (1) no change; (2) weekly; and (3) monthly. Hand hygiene rates among health care workers were documented at entry and exit to patient rooms during the baseline period from October 1, 2014, to March 31, 2015, of normal signage and throughout the intervention period of June 8, 2015, to December 28, 2015. Data analyses were conducted in April 2018. Interventions: Hospital units were randomly assigned into 3 groups: (1) no sign changes throughout the intervention period, (2) signs changed weekly, and (3) signs changed monthly. Main Outcomes and Measures: Hand hygiene adherence as measured by covert observation. Interrupted time series analysis was used to examine changes in HH adherence from baseline through the intervention period by group. Results: Among 58 inpatient units, 19 units were assigned to the no change group, 19 units were assigned to the weekly change group, and 20 units were assigned to the monthly change group. During the baseline period, 9755 HH opportunities were observed at room entry and 10 095 HH opportunities were observed at room exit. During the intervention period, a total of 15 855 HH opportunities were observed at room entry, and 16 360 HH opportunities were observed at room exit. Overall HH adherence did not change from baseline compared with the intervention period at either room entry (4770 HH events [48.9%] vs 3057 HH events [50.1%]; P = .14) or exit (6439 HH events [63.8%] vs 4087 HH events [65.2%]; P = .06). In units that changed signs weekly, HH adherence declined from baseline at room entry (-1.9% [95% CI, -2.7% to -0.8%] per week; P < .001) and exit (-0.8% [95% CI, -1.5% to 0.1%] per week; P = .02). No significant changes in HH adherence were observed in other groups. Conclusions and Relevance: The frequency of changing reminder signs had no effect on HH rates overall. Units assigned to change signs most frequently demonstrated worsening adherence. Considering the abundance of signs in the acute care environment, the frequency of changing signs did not appear to provide a strong enough cue by itself to promote behavioral change. Trial Registration: ClinicalTrials.gov Identifier: NCT02223455.

Impact of Rural Residence on Kidney Transplant Rates Among Waitlisted Candidates in the VA Transplant Programs.

BACKGROUND: Although proportionally more veterans live in rural areas compared to nonveterans, the impact of rurality status on kidney transplantation (KTP) access among veterans is unknown. Our objective was to study KTP rates among veterans listed for KTP and to compare the impact of rurality status on KTP rates among veterans and nonveterans. METHODS: Retrospective cohort study of adult patients waitlisted per the United Network for Organ Sharing from January 2000 to December 2014. Patient characteristics were compared using Chi-square or t tests, as appropriate, by veteran status and patient rurality. Multivariable competing-risks Cox regression was performed. RESULTS: The study sample included 3281 veterans receiving care in Veteran Health Administration transplant programs and 445 177 nonveterans. Veterans, compared to nonveterans, were older (57 versus 50 y; P < 0.001), more likely to be male (96% versus 60%; P < 0.001) or diabetic at waitlisting (51% versus 41%; P < 0.001), and less likely be an urban resident (79% versus 84%; P < 0.001). Among veterans, dialysis duration prior to registration was longer among urban compared to all other rurality types (810 ± 22.1 d versus 632 to 702 ± 41.6 to 77.6 d; P = 0.02). In multivariate competing risks models, there was no evidence that the hazard of transplant among veterans differs by residential rurality. CONCLUSIONS: Among waitlisted veterans served by Veteran Health Administration transplant programs, residential rurality status does not portend longer waiting time for KTP.

Outcomes comparison in patients admitted to low complexity rural and urban intensive care units in the Veterans Health Administration.

PURPOSE: To evaluate mortality, length of stay, and inter-hospital transfer in the Veteran Health Administration (VHA) among low complexity Intensive Care Unit (ICU) patients. MATERIALS AND METHOD: Retrospective study of adult ICU admissions identified in VHA Medical SAS®; 2010-2015 at Veterans Affairs (VA) Medical Centers. Facilities classified by the Rural Urban Commuting Area code algorithm as large rural (referred to as rural) (N = 6) or urban (N = 33). RESULTS: In rural hospitals, patients (N = 9665) were less likely to have a respiratory (12.9% v. 18.9%; p < .001) diagnosis, more likely diagnosed with sepsis (17.6% v. 4.9%), and had a higher illness severity score (42.0 vs. 41.4; p = .01) compared to urban (N = 65,846) counterparts. Mortality within ICU did not vary across facility rurality. In unadjusted analyses, facility rurality (rural vs. urban) was associated with reduced inter-hospital transfers (OR = 0.74; 95% CI = [0.69, 0.80]; p < .001) and a shorter ICU length of stay (RR = 0.82; 95% CI = [0.74, 0.91]; p < .001). This did not hold when the hierarchical data was accounted for. CONCLUSIONS: Despite challenges, low complexity ICUs in rural VA facilities fare similarly to urban counterparts. Being part of a national healthcare system may have benefits to explore in sustaining critical care access in rural areas outside the VA healthcare system.