BACKGROUND: Implantable cardioverter-defibrillators (ICDs) reduce the risk of sudden cardiac death among patients with persistently reduced (≤35 %) left ventricular ejection fraction (LVEF) at least 40 days following acute myocardial infarction (AMI). Few prior studies have used LVEF measured after the 40-day waiting period to examine primary prevention ICD placement. METHODS: We sought to determine factors associated with ICD placement among patients who met LVEF criteria post-MI within a large integrated health care system in the U.S by conducting a retrospective cohort study of Veteran patients hospitalized for AMI from 2004 to 2017 who had documented LVEF ≤35 % from echocardiograms performed between 40 and 455 (90 days +1 year) days post-MI. We used multivariable logistic regression to examine factors associated with ICD placement. RESULTS: Of 12,893 patients with LVEF ≤35 % at least 40 days post-MI, 2176 (16.9 %) received an ICD between 91- and 455-days post-MI. Younger age, fewer comorbidities, revascularization with PCI, and greater use of GDMT were associated with increased odds of receiving an ICD. However, half of patients treated with a beta-blocker, ACE inhibitor or angiotensin receptor blocker, and mineralocorticoid receptor antagonist prior to LVEF assessment did not receive an ICD. Eligible Black patients were less likely (odds ratio 0.80, 95 % confidence interval 0.69-0.92) to receive an ICD than White patients. CONCLUSION: Many factors affect ICD placement among Veteran patients with a confirmed LVEF ≤35 % at least 40 days post-MI. Greater understanding of factors influencing ICD placement would help clinicians ensure guideline-concordant care.

BACKGROUND: The COVID-19 pandemic and shut down of in-person complementary and integrative (CIH) wellness services at the San Francisco Veterans Affairs Healthcare System (SFVAHCS) required implementation of virtual program delivery. In May 2020, VA in-person group yoga classes pivoted to virtual classes for existing attendees. In October 2020, we partnered with SFVAHCS Integrative Health and the VA Office of Rural Health to formalize the TeleYoga Program to expand yoga access to Veterans in SFVAHCS geographically dispersed area. OBJECTIVE: This pilot study evaluated Veterans experiences and self-reported health outcomes after participating in at-home tele-yoga groups during the COVID-19 pandemic. METHODS: The RE-AIM framework guided program delivery evaluation. Reach was assessed with medical record data. Adoption was assessed by the number of new facilities providing referrals to tele-yoga. Implementation, satisfaction, and patient-reported outcomes, were evaluated through structured interviews with Likert scale and open-ended responses. RESULTS: We offered 4-6 weekly livestreamed classes between October 2020-September 2021. The program reached 70 Veterans, including 40 new participants, with 1208 total unique encounters. Referrals increased from 2 to 6 SFVAHCS facilities. Fourteen participants completed structured interviews. Over half rated highly the convenience and overall experience of tele-yoga classes and reported improvement with pain, stress management, exercise, and flexibility. Open-ended responses indicated opportunities for social connection, maintaining mental health, cultivating resilience, improving function, and managing pain. Suggestions for improvement focused on technological aspects, including audiovisual quality. CONCLUSIONS: During the COVID-19 pandemic, we successfully transitioned and expanded virtual group yoga delivery to Veterans from all geographic locations within SFVAHCS. We attribute this success to existing infrastructure for telehealth and CIH services and a virtual program orientation for new participants. The results of this pilot study suggest in-person group yoga may be successfully implemented virtually, serving as a viable modality that contributes to holistic wellbeing for Veterans.

Background

The ability to perform basic daily activities ("functional status") is key to older adults' quality of life and strongly predicts health outcomes. However, data on functional status are seldom collected during routine clinical care in a way that makes them available for clinical use and research.

Objectives

To validate functional status data that Veterans Affairs (VA) medical centers recently started collecting during routine clinical care, compared to the same data collected in a structured research setting.

Design

Prospective validation study.

Setting

Seven VA medical centers that collected complete data on 5 activities of daily living (ADLs) and 8 instrumental activities of daily living (IADLs) from older patients attending primary care appointments.

Participants

Randomly selected patients aged 75 and older who had new ADL and IADL data collected during a primary care appointment (N = 252). We oversampled patients with ADL dependence and applied these sampling weights to our analyses.

Measurements

Telephone-based interviews using a validated measure to assess the same 5 ADLs and 8 IADLs.

Results

Mean age was 83 years, 96% were male, and 75% were white. Of 85 participants whom VA data identified as dependent in 1 or more ADLs, 74 (87%) reported being dependent by interview; of 167 whom VA data identified as independent in ADLs, 149 (89%) reported being independent. The sample-weighted sensitivity of the VA data for identifying ADL dependence was 45% (95% CI, 29%, 62%) compared to the reference standard, the specificity was 99% (95% CI, 99%, >99%), and the positive predictive value was 87% (95% CI, 79%, 93%). The weighted kappa statistic was 0.55 (95% CI, 0.41, 0.68) for the agreement between VA data and research-collected data in identifying ADL dependence.

Conclusion

Overall agreement of VA functional status data with a reference standard was moderate, with fair sensitivity but high specificity and positive predictive value.