ArticleApplied psychophysiology and biofeedback2024
A Pilot Feasibility Evaluation of a Heart Rate Variability Biofeedback App to Improve Self-Care in COVID-19 Healthcare Workers.
Article in Applied psychophysiology and biofeedback, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04921228 (Heart Rate Variability Biofeedback in Healthcare Providers During COVID-19), which is not on this map. Cited by 4 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Heart Rate Variability Biofeedback in Healthcare Providers During COVID-19: A Pilot Feasibility Study
Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Feasibility and Effectiveness of Portable/Remote Heart Rate Variability (HRV) Biofeedback Training in Treating Stress and Mental Health Difficulties: A Systematic Review.Applied psychophysiology and biofeedback · 2026Pooled it
- Enhancing wellness: a systematic review of biofeedback interventions for healthcare professionals.Frontiers in psychiatry · 2026Pooled it
- Interoceptive mechanisms of a mobile heart rate variability biofeedback app for eating disorder symptoms: Proof-of-concept findings.Eating behaviors · 2026Article
- Physiological outcomes from mind-body resiliency programs in healthcare workers: A scoping review.PLOS mental health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 exacerbated burnout and mental health concerns among the healthcare workforce. Due to high work stress, demanding schedules made attuned eating behaviors a particularly challenging aspect of self-care for healthcare workers. This study aimed to examine the feasibility and acceptability of a heart rate variability biofeedback (HRVB) mobile app for improving well-being among healthcare workers reporting elevated disordered eating during COVID-19. We conducted a mixed methods pre-mid-post single-arm pilot feasibility trial (ClinicalTrials.gov NCT04921228). Deductive content analysis of participants' commentary generated qualitative themes. Linear mixed models were used to examine changes in pre- mid- to post-assessment scores on well-being outcomes. We consented 28 healthcare workers (25/89% female; 23/82% Non-Hispanic White; 22/79% nurses) to use and evaluate an HRVB mobile app. Of these, 25/89% fully enrolled by attending the app and device training; 23/82% were engaged in all elements of the protocol. Thirteen (52%) completed at least 10 min of HRVB on two-thirds or more study days. Most participants (18/75%) reported being likely or extremely likely to continue HRVB. Common barriers to engagement were busy schedules, fatigue, and technology difficulties. However, participants felt that HRVB helped them relax and connect better to their body's signals and experiences. Results suggested preliminary evidence of efficacy for improving interoceptive sensibility, mindful self-care, body appreciation, intuitive eating, stress, resilience, and disordered eating. HRVB has potential as a low-cost adjunct tool for enhancing well-being in healthcare workers through positively connecting to the body, especially during times of increased stress when attuned eating behavior becomes difficult to uphold.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.