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.

Effects of a Rehabilitation-at-Home Program Compared to Post-acute Skilled Nursing Facility Care on Safety, Readmission, and Community Dwelling Status: A Matched Cohort Analysis.

OBJECTIVES: To evaluate the effectiveness and safety of Rehabilitation-at-Home (RaH), which provides high-frequency, multidisciplinary post-acute rehabilitative services in patients' homes. DESIGN: Comparative effectiveness analysis. SETTING AND PARTICIPANTS: Medicare Fee-For-Service patients who received RaH in a Center for Medicare and Medicaid Innovation Center Demonstration during 2016-2017 (N=173) or who received Medicare Skilled Nursing Facility (SNF) care in 2016-2017 within the same geographic service area with similar inclusion and exclusion criteria (N=5535). METHODS: We propensity-matched RaH participants to a cohort of SNF patients using clinical and demographic characteristics with exact match on surgical and non-surgical hospitalizations. Outcomes included hospitalization within 30 days of post-acute admission, death within 30 days of post-acute discharge, length of stay, falls, use of antipsychotic medication, and discharge to community. RESULTS: The majority of RaH participants were older than or equal to 85 years (57.8%) and non-Hispanic white (72.2%) with mean hospital length of stay of 8.1 (SD 7.6) days. In propensity-matched analyses, 10.1% (95% CI: 0.5%, 19.8) and 4.2% (95% CI: 0.1%, 8.5%) fewer RaH participants experienced hospital readmission and death, respectively. RaH participants had, on average, 2.8 fewer days (95% CI 1.4, 4.3) of post-acute care; 11.4% (95% CI: 5.2%, 17.7%) fewer RaH participants experienced fall; and 25.8% (95% CI: 17.8%, 33.9%) more were discharged to the community. Use of antipsychotic medications was no different. CONCLUSIONS AND IMPLICATIONS: RaH is a promising alternative to delivering SNF-level post-acute RaH. The program seems to be safe, readmissions are lower, and transition back to the community is improved.

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.

Association between acute psychiatric bed availability in the Veterans Health Administration and veteran suicide risk: a retrospective cohort study.

BACKGROUND: Veteran suicides have increased despite mental health investments by the Veterans Health Administration (VHA). OBJECTIVE: To examine relationships between suicide and acute inpatient psychiatric bed occupancy and other community, hospital and patient factors. METHODS: Retrospective cohort study using administrative and publicly available data for contextual community factors. The study sample included all veterans enrolled in VHA primary care in 2011-2016 associated with 111 VHA hospitals with acute inpatient psychiatric units. Acute psychiatric bed occupancy, as a measure of access to care, was the main exposure of interest and was categorised by quarter as per cent occupied using thresholds of ≤85%, 85.1%-90%, 90.1%-95% and >95%. Hospital-level analyses were conducted using generalised linear mixed models with random intercepts for hospital, modelling number of suicides by quarter with a negative binomial distribution. RESULTS: From 2011 to 2016, the national incidence of suicide among enrolled veterans increased from 39.7 to 41.6 per 100 000 person-years. VHA psychiatric bed occupancy decreased from a mean of 68.2% (IQR 56.5%-82.2%) to 65.4% (IQR 53.9%-79.9%). VHA hospitals with the highest occupancy (>95%) in a quarter compared with ≤85% had an adjusted incident rate ratio (IRR) for suicide of 1.10 (95% CI 1.01 to 1.19); no increased risk was observed for 85.1%-90% (IRR 0.96; 95% CI 0.89 to 1.03) or 90.1%-95% (IRR 0.96; 95% CI 0.89 to 1.04) compared with ≤85% occupancy. Of hospital and community variables, suicide risk was not associated with number of VHA or non-VHA psychiatric beds or amount spent on community mental health. Suicide risk increased by age categories, seasons, geographic regions and over time. CONCLUSIONS: High VHA hospital occupancy (>95%) was associated with a 10% increased suicide risk for veterans whereas absolute number of beds was not, suggesting occupancy is an important access measure. Future work should clarify optimal bed occupancy to meet acute psychiatric needs and ensure adequate bed distribution.

Evaluation of Changing Vena Cava Filter Use and Inpatient Hospital Mortality from 2016-2019: A Single-Institution Quality Improvement Project.

OBJECTIVE: To evaluate the changing trends of vena cava filter (VCF) insertion and determine whether changes in VCF use affected inpatient mortality. PATIENTS AND METHODS: A quality improvement project at Mayo Clinic, Rochester, Minnesota, tracks the type and reason for VCF insertions from January 1, 2016, through December 31, 2019, to facilitate appropriate retrieval. The rate of VCF insertions was compared with inpatient mortality rates, normalized for patient volumes using the number of hospital inpatient discharges. RESULTS: A total of 698 VCFs were placed in 695 patients: 2016 (n=243), 2017 (n=156), 2018 (n=156), and 2019 (n=120). The rate of VCF insertions (per 1000 inpatient discharges) was 4.02 in 2016, 2.91 in 2017, 2.54 in 2018, and 1.93 in 2019. Mean ± SD age at placement was 62±16.4 years and 59.2% (413/698) were men. Most VCFs were retrievable (85.1%; 594/698) and were placed for treatment (78.4%; 547/698) indications (acute venous thromboembolism within 3 months). The rate of VCF insertions was compared with the inpatient mortality rate (per 100 inpatient discharges) and remained stable (1.83 in 2016, 1.79 in 2017, 1.83 in 2018, and 1.76 in 2019) despite the significant decline in VCF use. CONCLUSION: Data from this quality improvement study demonstrate a reduction of more than 50% in the use of VCFs from 2016 through 2019 at a large academic hospital. These changes are difficult to attribute to any single change in clinical use and there was no appreciable increase in the inpatient hospital mortality rate associated with this decrease in VCF filter use.

Outcomes of Hospital at Home for Older Adults with and without High Levels of Social Support.

The evaluation of social support within hospital at home (HaH) programs has been limited. We performed a secondary analysis of a prospective cohort evaluation of 295 participants receiving HaH care and 212 patients undergoing traditional hospitalization from November of 2014 to August of 2017. We examined the confounding and moderating effects of instrumental and informational social support upon length of stay and 30-day rehospitalization, emergency department (ED) visit, and skilled nursing facility admission. Instrumental social support attenuated the effects of HaH upon any ED visit (base model: OR 0.61, p = 0.037; controlling for social support: OR 0.71, p = 0.15). The association of HaH with other outcomes remained unchanged. Interactions between HaH and informational or instrumental social support for all outcomes were not significant. Lack of high levels of social support had little effect on the positive outcomes of HaH care, suggesting similar benefits of HaH services for patients with lower levels of social support.

Reasons Older Veterans Use the Veterans Health Administration and Non-VHA Care in an Urban Environment.

BACKGROUND: Older veterans in urban settings rely less on the Veterans Health Administration (VHA) health care, suggesting deficits of access and services for aging veterans. We aimed to identify reasons for VHA and non-VHA use across the health status of older, urban-dwelling veterans. METHODS: We examined open-ended responses from 177 veterans who were enrolled in primary care at the Bronx VA Medical Center, used non-VHA care in prior 2 years, and completed baseline interviews in a care coordination trial from March 2016 to August 2017. Using content analysis, we coded and categorized key terms and concepts into an established access framework. This framework included 5 categories: acceptability (relationship, second opinion), accessibility (distance, travel); affordability; availability (supply, specialty care); and accommodation (organization, wait-time). Self-reported health status was stratified by excellent/very good, good, and fair/poor. RESULTS: We were able to categorize the responses of 166 veterans, who were older (≥75 years, 61%), minority race and ethnicity (77%), and low income (<$25,000/y, 51%). Veterans mentioned acceptability (42%) and accessibility (37%) the most, followed by affordability (33%), availability (25%), and accommodation (11%). With worse self-reported health status, accessibility intensified (excellent/very good, 24%; fair/poor, 46%; P = .031) particularly among minority veterans, while acceptability remained prominent (excellent/very good, 49%; fair/poor, 37%; P = .25). Other categories were mentioned less with no significant difference across health status. CONCLUSIONS: Even in an urban environment, proximity was a leading issue with worse health. Addressing urban accessibility and coordination for older, sicker veterans may enhance care for a growing vulnerable VHA population.

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.

Call Center Remote Triage by Nurse Practitioners Was Associated With Fewer Subsequent Face-to-Face Healthcare Visits.

BACKGROUND: In 2015, the Veterans Health Administration (VHA) incorporated nurse practitioners (NPs) into remote triage call centers to supplement registered nurse (RN)-handled calls. OBJECTIVE: To assess 7-day healthcare use following telephone triage by NPs compared to RNs. We hypothesized that NP clinical decision ability may reduce follow-up healthcare. DESIGN: Retrospective observational comparative effectiveness study of clinical and administrative databases. NP routed calls were matched to RN calls based on chief complaint with propensity score matching and multivariate count data models, adjusting for differences in call severity and patient comorbidity. PARTICIPANTS: Callers to a VHA regional call center, April 2015 to March 2019. MAIN MEASURES: Primary care, specialty care, and emergency department (ED) visits plus hospitalizations within 7 days. KEY RESULTS: NP-handled calls (N = 1554) were matched to RN calls (N = 48,024) for the same chief complaint. NP-handled calls, compared to RNs, had lower comorbidities, fewer hospitalizations, and less urgent complaints. Seven-day healthcare use was lower for NP compared to RN calls for specialty care (0.15 vs. 0.20 visits per person [VPP]; p < 0.001), ED (0.11 vs. 0.27 VPP; p < 0.001), and hospitalizations (0.01 vs. 0.04 VPP; p < 0.001), but not primary care (0.43 vs. 0.42 VPP; p = 0.80). In adjusted analyses, estimated avoided in-person visits per 100 calls routed to NPs were 0.7 primary care visits (95% confidence interval [CI] 0.4, 1.0), 2.6 specialty care visits (95% CI 0.0, 5.1), 5.9 ED visits (95% CI 2.7, 9.1), and 1.4 hospital stays (95% CI 0.1, 2.6). Propensity score-matched models comparing NP (N = 1533) to RN (N = 2646) calls had adjusted odds ratios for 7-day healthcare use of 0.75 (primary care), 0.75 (specialty care), and 0.73 (ED) (all p < 0.003). CONCLUSION: Incorporating NPs into a call center was associated with lower in-person healthcare use in the subsequent 7 days compared to routine RN-triaged calls.

Growth of electronic consultations in the Veterans Health Administration.

OBJECTIVES: To evaluate the growth and variation of electronic consultation, or e-consult, use in the Veterans Health Administration (VHA) across regions and specialties. STUDY DESIGN: Observational cohort study using administrative data of all veterans who received an e-consult for 41 specialties across 1269 VHA medical centers and associated clinical sites from January 1, 2012, through December 31, 2018. METHODS: Assessments included (1) the number and characteristics of all e-consults, (2) growth of e-consult use, (3) e-consults as a proportion of all consults by region and by specific specialty, (4) need for an in-person visit with the same specialty within 12 months after an e-consult, and (5) potential miles of driving saved for patients and mileage reimbursement costs avoided for VHA due to e-consult use. RESULTS: Over the 7-year study period, VHA providers completed 3,117,998 e-consults (5.5% of all specialty consults). e-Consults increased by 309% for all specialties. By 2018, for 16 of 41 specialties, e-consults accounted for greater than 10% of all consults. Overall, 21.5% of e-consults resulted in an in-person visit with the same specialty within 12 months. On average, each e-consult resulted in approximately 84.3 (SD, 89.9; interquartile range, 25.1-115.0) miles in driving saved, equating to potential driving reimbursement savings of $46 million. CONCLUSIONS: Use of e-consults in the VHA grew substantially between 2012 and 2018, with variability across specialties. In-person follow-up after an e-consult was low, suggesting that e-consults may substitute for in-person visits and reduce considerable patient travel burden.

Implementation of Post-Acute Rehabilitation at Home: A Skilled Nursing Facility-Substitutive Model.

OBJECTIVES: For patients who require frequent and intensive therapy services after hospitalization, rehabilitation is predominantly provided in skilled nursing facilities (SNFs). Delivering post-acute rehabilitation in patients' homes offers a potential alternative. Our aim was to describe and evaluate services and functional outcomes and then identify factors associated with the provision of a 30-day post-acute care (PAC) bundle of rehabilitation, medical, and social services provided via the Rehabilitation at Home (RaH) program. DESIGN: Single-arm retrospective review of patients participating in the RaH program. SETTING: Multidisciplinary home-based delivery of PAC in Manhattan. PARTICIPANTS: Individuals 18 years or older residing in a specified catchment area and qualifying for SNF-based rehabilitation services from October 2015 to September 2017. RESULTS: A total of 237 patients participated in RaH over 264 episodes of care. Participants were predominantly older than 85 years (57%; mean = 84.2; standard deviation [SD] = 10.0 years) and of non-Hispanic white (70%) race and ethnicity. Most were admitted after hospitalization (88.2%) for 117 different diagnostic related groups. Average length of stay in RaH was 14.2 (SD = 6.5) days with patients receiving 1.83 (SD = 2.22) medical provider, 1.67 (SD = 1.58) nursing, and 5.24 (SD = 1.05) physical therapist visits weekly. Most of the patients fully or almost fully met their goals for bed mobility (65%), bed transfer (69%), chair transfer (67%), and ambulation (64%) with the majority achieving moderate or considerable (61%) global functional improvement. Achieving moderate or considerable global improvement was negatively associated with dementia diagnosis (odds ratio [OR] = .23; 95% confidence interval [CI] = .08-.71) and positively associated with higher baseline ambulation (OR = 5.51; 95% CI = 2.22-13.66). At 30 days, 87.3% of participants were living in the community. CONCLUSION: Delivering SNF-level post-acute rehabilitation care in patients' homes for a broad range of diagnoses is feasible and associated with functional improvement. This approach may help older adults maintain living status in the community. J Am Geriatr Soc 68:1584-1593, 2020.

Development of a novel metric of timely care access to primary care services.

OBJECTIVE: To develop a model for identifying clinic performance at fulfilling next-day and walk-in requests after adjusting for patient demographics and risk. DATA SOURCE: Using Department of Veterans Affairs (VA) administrative data from 160 VA primary care clinics from 2014 to 2017. STUDY DESIGN: Using a retrospective cohort design, we applied Bayesian hierarchical regression models to predict provision of timely care, with clinic-level random intercept and slope while adjusting for patient demographics and risk status. Timely care was defined as the provision of an appointment within 48 hours of any patient requesting the clinic's next available appointment or walking in to receive care. DATA COLLECTION/EXTRACTION METHODS: We extracted 1 841 210 timely care requests from 613 263 patients. PRINCIPAL FINDINGS: Across 160 primary care clinics, requests for timely care were fulfilled 86 percent of the time (range 83 percent-88 percent). Our model of timely care fit the data well, with a Bayesian R2 of .8. Over the four years of observation, we identified 25 clinics (16 percent) that were either struggling or excelling at providing timely care. CONCLUSION: Statistical models of timely care allow for identification of clinics in need of improvement after adjusting for patient demographics and risk status. VA primary care clinics fulfilled 86 percent of timely care requests.

Low and Higher Wage Workers Report No Differences in Four Barriers to Primary Care Access.

Lower wage workers, known to seek more care in the emergency department (ED), may encounter more barriers to timely outpatient primary care. This study aimed to identify differences in self-reported delays in care related to 4 modifiable barriers (phone availability, appointment wait time, in-clinic wait time, and limited service hours) across self-reported wage and to examine the relationship between these care delays and self-reported ED use. The authors examined data from the 2011-2015 National Health Interview Surveys for 58,298 self-identified full-time workers. Multivariable logistic models with geographical region and year fixed effects were used to test the association of wage group and barriers to care. In addition, the multiplicative and additive interaction effects upon self-reported ED use were tested. No association was observed between wage level and barrier to timely care. Lower wage workers (<$25,000 vs. >$75,000/yr.; OR 1.53, 95% CI 1.20-1.94, P = 0.001) and those reporting any of the 4 barriers to care (OR 1.99, 95% CI 1.71-1.94, P < 0.001) were more likely to report 2 or more ED visits in the past year. Multiplicative effects were not statistically significant. Additive interaction effects of wage and barriers were only significant among workers with wages $35,000-$44,999 annually (vs. >$75,000: relative excess risk coef. 1.23, 95% CI 0.07-2.38, P = 0.037) for 2 or more ED visits in past year. Although these modifiable barriers may explain the differences in repeat ED use for workers earning $35,000-$44,999 annually, these barriers do not explain disparities in ED use between highest and lowest wage workers.

Patient-Reported Access in the Patient-Centered Medical Home and Avoidable Hospitalizations: an Observational Analysis of the Veterans Health Administration.

BACKGROUND: The Patient-Centered Medical Home (PCMH) has emphasized timely access to primary care, often by using non-traditional modes of delivery, such as care in person after-hours or by phone during or after normal hours. Limited data exists on whether improving patient-reported access with these service types reduces hospitalization. OBJECTIVE: To examine the association of patient-reported access to primary care within the Veteran Health Administration (VHA) via five service types and hospitalizations for ambulatory care sensitive conditions (ACSCs). DESIGN: Retrospective cohort study, using multivariable logistic regression adjusting for patient demographics, comorbidity, characteristics of patients' area of residence, and clinic-level random effects. PARTICIPANTS: A total of 69,710 VHA primary care patients who responded to the 2012 Survey of Healthcare Experiences of Patients (SHEP), PCMH module. MAIN MEASURES: Survey questions captured patients' ability to obtain care from VHA for five service types: routine care, immediate care, after-hours care, care by phone during regular office hours, and care by phone after normal hours. Outcomes included binary measures of hospitalization for overall, acute, and chronic ACSCs in 2013, identified in VHA administrative data and Medicare fee-for-service claims. KEY RESULTS: Patients who reported "always" able to obtain after-hours care compared to "never" were less likely to be hospitalized for chronic ACSCs (OR 0.62, 95% CI 0.44-0.89, p = 0.009). Patients reporting "usually" getting care by phone during regular hours were more likely have a hospitalization for chronic ACSC (OR 1.49, 95% CI 1.03-2.17, p = 0.034). Experiences with routine care, immediate care, and care by phone after-hours demonstrated no significant association with hospitalization for ACSCs. CONCLUSIONS: Improving patients' ability to obtain after-hours care was associated with fewer hospitalizations for chronic ACSCs, while access to care by phone during regular hours was associated with more hospitalizations. Health systems should consider the benefits, including reduced hospitalizations for chronic ACSCs, against the costs of implementing each of these PCMH services.

Derivation of a quick Pitt bacteremia score to predict mortality in patients with Gram-negative bloodstream infection.

PURPOSE: This retrospective cohort study derived a "quick" version of the Pitt bacteremia score (qPitt) using binary variables in patients with Gram-negative bloodstream infections (BSI). The qPitt discrimination was then compared to quick sepsis-related organ failure assessment (qSOFA) and systemic inflammatory response syndrome (SIRS). METHODS: Hospitalized adults with Gram-negative BSI at Palmetto Health hospitals in Columbia, SC, USA from 2010 to 2013 were identified. Multivariate Cox proportional hazards regression was used to determine variables associated with 14-day mortality. RESULTS: Among 832 patients with Gram-negative BSI, median age was 65 years and 449 (54%) were women. After adjustments for age and Charleston comorbidity score, all five components of qPitt were independently associated with mortality: temperature < 36 °C [hazard ratio (HR) 3.02, 95% confidence interval (CI) 1.95-4.62], systolic blood pressure < 90 mmHg or vasopressor use (HR 2.40, 95% CI 1.37-4.13), respiratory rate ≥ 25/min or mechanical ventilation (HR 3.01, 95% CI 1.81-5.14), cardiac arrest (HR 5.35, 95% CI 2.81-9.43), and altered mental status (HR 3.99, 95% CI 2.44-6.80). The qPitt had higher discrimination to predict mortality [area under receiver operating characteristic curve (AUROC) 0.85] than both qSOFA (AUROC 0.77, p < 0.001) and SIRS (AUROC 0.63, p < 0.001). There was a significant difference in mortality between appropriate and inappropriate empirical antimicrobial therapy in patients with qPitt ≥ 2 (24% vs. 49%, p < 0.001), but not in those with qPitt < 2 (3% vs. 5%, p = 0.36). CONCLUSIONS: The qPitt had good discrimination in predicting mortality following Gram-negative BSI and identifying opportunities for improved survival with appropriate empirical antimicrobial therapy.

Veteran peer Coaches Optimizing and Advancing Cardiac Health (Vet-COACH); design and rationale for a randomized controlled trial of peer support among Veterans with poorly controlled hypertension and other CVD risks.

BACKGROUND: Peer support can improve health for patients with chronic conditions; however, evidence for disease prevention is less clear and peer recruitment strategies are not well described. This paper describes a study protocol to evaluate a peer support intervention to improve hypertension control and reduce cardiovascular disease (CVD) risk. METHODS & RESEARCH DESIGN: Target enrollment for this two-site study is n = 400. Eligibility criteria include Veterans enrolled in Veterans Health Administration (VHA) primary care with poorly controlled hypertension and one other cardiovascular disease risk (smoking, overweight/obesity, or hyperlipidemia) who live in census tracts with high rates of hypertension. Enrolled participants are randomized to a home-based peer delivered self-management intervention (5 home visits and 5 phone calls with a peer health coach) versus usual care. The primary outcome is a change in systolic blood pressure (SBP) and secondary outcomes include change in CVD risk and health care use. RESULTS: Trial results are pending and participant enrollment is ongoing. We recruited peer coaches from Veterans who lived in census tracks with the highest rates of hypertension. To recruit Veteran peer coaches, we asked primary care providers (n = 41) and team nurses (n = 35) to nominate patients who they thought would be a good fit for the peer coach position (based on successful self-management and health care navigation) (n = 73 nominated from 964 patients). We interviewed 12 Veterans and trained 5 peer coaches. CONCLUSIONS: Results of this trial will inform peer support programs targeted to provide community-based delivery of prevention services to patients in high-risk areas. TRIAL REGISTRATION: Clinicaltrial.gov identifier NCT02697422 TRIAL STATUS: Enrollment for the randomized trial phase began in September 2017 and will be complete September 2019.

How Are Patients Accessing Primary Care Within the Patient-Centered Medical Home? Results From the Veterans Health Administration.

The patient-centered medical home (PCMH) expands access by providing care same-day, by phone, and after hours; however, little is known about which patients seek these services. We examined the association of patient, clinical, and local economic characteristics with the self-reported use of 5 routine and nonroutine ways to access primary care within the Veterans Health Administration. We identified sets of characteristics, including gender- and age-specific, racial and ethnic, and socioeconomic differences of how veterans report seeking primary care. As the PCMH model develops, it will be important to further understand the differential demand for these services to optimize patient-centered access.

Longer wait times affect future use of VHA primary care.

BACKGROUND: Improving access to the Veterans Health Administration (VHA) is a high priority, particularly given statutory mandates of the Veterans Access, Choice and Accountability Act. This study examined whether patient-reported wait times for VHA appointments were associated with future reliance on VHA primary care services. METHODS: This observational study examined 13,595 VHA patients dually enrolled in fee-for-service Medicare. Data sources included VHA administrative data, Medicare claims and the Survey of Healthcare Experiences of Patients (SHEP). Primary care use was defined as the number of face-to-face visits from VHA and Medicare in the 12 months following SHEP completion. VHA reliance was defined as the number of VHA visits divided by total visits (VHA+Medicare). Wait times were derived from SHEP responses measuring the usual number of days to a VHA appointment with patients' primary care provider for those seeking immediate care. We defined appointment wait times categorically: 0 days, 1day, 2-3 days, 4-7 days and >7 days. We used fractional logistic regression to examine the relationship between wait times and reliance. RESULTS: Mean VHA reliance was 88.1% (95% CI = 86.7% to 89.5%) for patients reporting 0day waits. Compared with these patients, reliance over the subsequent year was 1.4 (p = 0.041), 2.8 (p = 0.001) and 1.6 (p = 0.014) percentage points lower for patients waiting 2-3 days, 4-7 days and >7 days, respectively. CONCLUSIONS: Patients reporting longer usual wait times for immediate VHA care exhibited lower future reliance on VHA primary care. IMPLICATIONS: Longer wait times may reduce care continuity and impact cost shifting across two federal health programs.

Clinical Risk Score for Prediction of Extended-Spectrum ß-Lactamase-Producing Enterobacteriaceae in Bloodstream Isolates.

OBJECTIVE To develop a risk score to predict probability of bloodstream infections (BSIs) due to extended-spectrum ß-lactamase-producing Enterobacteriaceae (ESBLE). DESIGN Retrospective case-control study. SETTING Two large community hospitals. PATIENTS Hospitalized adults with Enterobacteriaceae BSI between January 1, 2010, and June 30, 2015. METHODS Multivariate logistic regression was used to identify independent risk factors for ESBLE BSI. Point allocation in extended-spectrum ß-lactamase prediction score (ESBL-PS) was based on regression coefficients. RESULTS Among 910 patients with Enterobacteriaceae BSI, 42 (4.6%) had ESBLE bloodstream isolates. Most ESBLE BSIs were community onset (33 of 42; 79%), and 25 (60%) were due to Escherichia coli. Independent risk factors for ESBLE BSI and point allocation in ESBL-PS included outpatient procedures within 1 month (adjusted odds ratio [aOR], 8.7; 95% confidence interval [CI], 3.1-22.9; 1 point), prior infections or colonization with ESBLE within 12 months (aOR, 26.8; 95% CI, 7.0-108.2; 4 points), and number of prior courses of ß-lactams and/or fluoroquinolones used within 3 months of BSI: 1 course (aOR, 6.3; 95% CI, 2.7-14.7; 1 point), ≥2 courses (aOR, 22.0; 95% CI, 8.6-57.1; 3 points). The area under the receiver operating characteristic curve for the ESBL-PS model was 0.86. Patients with ESBL-PSs of 0, 1, 3, and 4 had estimated probabilities of ESBLE BSI of 0.7%, 5%, 24%, and 44%, respectively. Using ESBL-PS ≥3 to indicate high risk provided a negative predictive value of 97%. CONCLUSIONS ESBL-PS estimated patient-specific risk of ESBLE BSI with high discrimination. Incorporation of ESBL-PS with acute severity of illness may improve adequacy of empirical antimicrobial therapy and reduce carbapenem utilization. Infect Control Hosp Epidemiol 2017;38:266-272.