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Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration

Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration

RM involves sending CIED data from a patient’s residence via a transmitter or smartphone app. Routine transmissions are usually sent every 90 days and can also be patient- or alert-initiated. RM is a Class 1, Level of Evidence A, professional society recommendation because of its many clinical outcome benefits [1,2]. These include reduced mortality [3-5], fewer hospitalizations [3,6], fewer inappropriate ICD shocks [7], as well as high patient satisfaction [8].

Allison Kratka, Thomas L Rotering, Scott Munson, Merritt H Raitt, Mary A Whooley, Sanket S Dhruva

JMIR Cardio 2025;9:e66215

Barriers and Facilitators Associated With Remote Monitoring Adherence Among Veterans With Pacemakers and Implantable Cardioverter-Defibrillators: Qualitative Cross-Sectional Study

Barriers and Facilitators Associated With Remote Monitoring Adherence Among Veterans With Pacemakers and Implantable Cardioverter-Defibrillators: Qualitative Cross-Sectional Study

The person who discussed RM with the veteran was a physician for 4 (17%), a nurse for 7 (30%), a CIED manufacturer representative for 5 (22%), and unknown for 7 respondents (30%). An additional 2 veterans reported learning about RM by reading a pamphlet. Only 8 (35%) veterans were accompanied by a friend, family member, or caregiver when RM was initially discussed with them; the majority of partially adherent or nonadherent veterans reported being unaccompanied.

Sanket S Dhruva, Merritt H Raitt, Scott Munson, Hans J Moore, Pamela Steele, Lindsey Rosman, Mary A Whooley

JMIR Cardio 2023;7:e50973

An Electronic Dashboard to Improve Dosing of Hydroxychloroquine Within the Veterans Health Care System: Time Series Analysis

An Electronic Dashboard to Improve Dosing of Hydroxychloroquine Within the Veterans Health Care System: Time Series Analysis

Rows were marked with a red x-mark if the HCQ daily dose was calculated to be ≥5.2 mg/kg/day (vs a green check mark if The hydroxychloroquine patient safety dashboard (using fictitious data). The dashboard was created using the Microsoft Power BI software. Sta3n: unique medical facility codes for each VA station; Last 4: last 4 digits of a patient’s social security number needed to identify a patient in the computerized patient record system (CPRS). Initial queries using CDW and Power BI began in June 2020.

Anna Montgomery, Gary Tarasovsky, Zara Izadi, Stephen Shiboski, Mary A Whooley, Jo Dana, Iziegbe Ehiorobo, Jennifer Barton, Lori Bennett, Lorinda Chung, Kimberly Reiter, Elizabeth Wahl, Meera Subash, Gabriela Schmajuk

JMIR Med Inform 2023;11:e44455

Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers

Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers

This is particularly true for the case definition of sarcoidosis, which is considered a diagnosis of exclusion and requires a review of clinical, radiological, and histopathological data for accurate diagnosis [3,7,8]. A few studies have reported the development of sarcoidosis-specific “computationally identifying algorithms” based on structured data elements in the EMR, although they were not validated by manual chart review [9-13].

Mohamed I Seedahmed, Izabella Mogilnicka, Siyang Zeng, Gang Luo, Mary A Whooley, Charles E McCulloch, Laura Koth, Mehrdad Arjomandi

JMIR Form Res 2022;6(3):e31615

Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study

Applying Mobile Technology to Sustain Physical Activity After Completion of Cardiac Rehabilitation: Acceptability Study

This paper presents a secondary study focused on acceptability that was conducted as part of the primary Mobile4 Heart study, a pilot randomized controlled trial (RCT) [21]. The parent Mobile4 Heart study was a pilot RCT that evaluated group differences in physical activity and exercise capacity after 2 months of using digital health technologies; the results are presented in a separate publication [21]. The 2-month duration was based on the pilot nature of the RCT.

Abdelaziz Elnaggar, Julia von Oppenfeld, Mary A Whooley, Stephanie Merek, Linda G Park

JMIR Hum Factors 2021;8(3):e25356

Mobile Health Intervention Promoting Physical Activity in Adults Post Cardiac Rehabilitation: Pilot Randomized Controlled Trial

Mobile Health Intervention Promoting Physical Activity in Adults Post Cardiac Rehabilitation: Pilot Randomized Controlled Trial

A total of 60 participants were included and randomized (using computer-based randomization) to the intervention group or usual care (control) group (Figure 1). Participants were included in the study if they were at least age 18 years, had a history of CVD, owned a smartphone or tablet, and were within 2 weeks of completing CR.

Linda G Park, Abdelaziz Elnaggar, Sei J Lee, Stephanie Merek, Thomas J Hoffmann, Julia Von Oppenfeld, Nerissa Ignacio, Mary A Whooley

JMIR Form Res 2021;5(4):e20468

VA FitHeart, a Mobile App for Cardiac Rehabilitation: Usability Study

VA FitHeart, a Mobile App for Cardiac Rehabilitation: Usability Study

Tasks demonstrated by study staff included setting a physical activity goal, making a physical activity entry, viewing a fitness graph, making a weight entry, and viewing an educational module. After the conclusion of the demonstration, participants were asked to complete the demonstrated tasks independently. Study staff recorded task completion success if the participant was able to successfully complete the task.

Alexis L L Beatty, Sara L Magnusson, John C Fortney, George G Sayre, Mary A Whooley

JMIR Hum Factors 2018;5(1):e3

Comparing Mobile Health Strategies to Improve Medication Adherence for Veterans With Coronary Heart Disease (Mobile4Meds): Protocol for a Mixed-Methods Study

Comparing Mobile Health Strategies to Improve Medication Adherence for Veterans With Coronary Heart Disease (Mobile4Meds): Protocol for a Mixed-Methods Study

Each focus group will have 6-8 participants, which is a size that allows for easy exchanges of ideas and a diversity of perspectives to be represented. We will recruit a convenience sample of 24-32 participants for four focus groups. Aims 1 and 2 will include the same participants who will attend a total of four focus group sessions (Figure 3).

Linda G Grace Park, Eileen G Collins, Janet K Shim, Mary A Whooley

JMIR Res Protoc 2017;6(7):e134