Biofeedback for CHAMPS

NCT ID: NCT04921228

Last Updated: 2022-06-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

25 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-11-08

Study Completion Date

2022-04-10

Brief Summary

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As a result of the COVID-19 pandemic, the degree of burnout and consequential negative psychological effects experienced by healthcare providers has been substantially exacerbated. Heart rate variability (HRV) biofeedback has long been used to assist with a wide variety of stress-related concerns. Building on evidence that HRV biofeedback has the potential to improve wellbeing, the purpose of this study is to pilot test and determine the feasibility of implementing a digital HRV biofeedback tool to improve disordered eating, mindful self-care (i.e., self-compassion, body appreciation, etc.), and perceived stress in healthcare providers. In addition to assessing acceptability and feasibility of the HRV biofeedback tool, the investigators will aim to establish 'proof-of-concept' for a conceptual model consisting of potential psychological constructs underlying the mechanisms of change for the intervention-namely mind-body awareness (i.e., interoception) and resilience. Our primary recruitment pool will include healthcare providers who reported elevated eating distress as a participant in an ongoing observational study of the health effects of theCOVID-19 pandemic on essential workers (CHAMPS).

Detailed Description

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Previous research suggests healthcare professionals may be a population at high-risk for disordered eating. As a result of the COVID-19 pandemic, the degree of burnout and consequential negative psychological effects experienced by healthcare providers has been substantially exacerbated. In fact, in an ongoing study of essential workers during the COVID-19 pandemic, the investigators found over a third of nursing professionals endorsed clinically significant disordered eating. With the clear evidence showing a psychological toll of the COVID-19 pandemic among healthcare workers globally, addressing their wellbeing with feasible at-home interventions is a priority.

Heart rate variability (HRV) biofeedback has long been used to assist with a wide variety of stress-related concerns, including depression and anxiety (Lehrer et al., 2020), both conditions that commonly co-occur with disordered eating. Research suggests interoception (i.e., the capacity to detect and respond to signals from the body), is disrupted in those with eating disorders (Martin et al., 2019). While there is relatively sparse evidence on the relationship between HRV and interoception (Pinna \& Edwards, 2020), it is theoretically plausible that superior interoception would predict improved vagal tone (i.e., parasympathetic activity) as measured by HRV. Moreover, data on HRV and disordered eating is mixed, and poorly understood (Watford et al., 2020). The present research seeks to begin addressing this gap in knowledge through a pilot feasibility study designed to initiate proof-of-concept for the development of a conceptual model.

Specifically, the study aims to:

1. assess the feasibility of implementing a digitally based HRV biofeedback protocol
2. assess the acceptability and usability of HRV biofeedback in healthcare providers with elevated disordered eating
3. examine signals of efficacy to begin building a conceptual model of the potential mechanisms underlying change in outcomes
4. test whether there is a relationship between intervention engagement/adherence and change in outcomes.

Participants will be recruited from a registry of healthcare providers enrolled in an ongoing study of the health effects of working during the COVID-19 pandemic (unless recruitment goals are not met using this method). This single arm feasibility pilot will provide the data to help determine the acceptability of using a smartphone based HRV biofeedback training tool as an intervention for this population and guide the refinement of the conceptual model being developed. By establishing feasibility and proof-of-concept, the study will build upon a limited body of work and establish an important first step towards understanding intervention dosing and signals of efficacy for aiding with disordered eating and related mind-body factors in this population.

Conditions

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Disordered Eating Stress

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Heart rate variability biofeedback

Heart rate variability biofeedback training will be administered via a smartphone app (Optimal HRV) that reads the participants' pulse rate through a Bluetooth connected photoplethysmography (PPG) sensor attached to the finger or thumb.

Group Type EXPERIMENTAL

Heart rate variability biofeedback

Intervention Type BEHAVIORAL

* 5 days of 3-min HRV readings to establish baseline HRV
* After meeting with study personnel to review HRV biofeedback (BF) practice with the app, participants will be asked to begin HRV BF training for 5 min a day
* Participants will increase the length of HRV BF training by 5 min every few days until they reach 20 min a day of HRV BF training
* Participants will aim for 20 min of daily HRV BF training for 6 consecutive wks out of the 8-wk total BF training protocol
* Study personnel will follow the participants' progress with training via the online portal provided through the Optimal HRV app and have brief (15-min) check-in appts. with participants to discuss how they are experiencing HRV BF, what they find helpful, and barriers to their practice if they are having difficulties
* After completing the 8-wks of BF training (including 2 wks of 5-min titrations to the full 20-min protocol), participants will be asked to take 3-min HRV readings for 5 days to assess post-intervention HRV

Interventions

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Heart rate variability biofeedback

* 5 days of 3-min HRV readings to establish baseline HRV
* After meeting with study personnel to review HRV biofeedback (BF) practice with the app, participants will be asked to begin HRV BF training for 5 min a day
* Participants will increase the length of HRV BF training by 5 min every few days until they reach 20 min a day of HRV BF training
* Participants will aim for 20 min of daily HRV BF training for 6 consecutive wks out of the 8-wk total BF training protocol
* Study personnel will follow the participants' progress with training via the online portal provided through the Optimal HRV app and have brief (15-min) check-in appts. with participants to discuss how they are experiencing HRV BF, what they find helpful, and barriers to their practice if they are having difficulties
* After completing the 8-wks of BF training (including 2 wks of 5-min titrations to the full 20-min protocol), participants will be asked to take 3-min HRV readings for 5 days to assess post-intervention HRV

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

1. Age 18 years or older
2. Ability to speak and read English
3. Previously enrolled in the protocol titled "COVID-19 CHAMPS study" (IRB-FY2020-215) (ClinicalTrials.gov: NCT04370821)
4. Willing to be contacted about other studies (i.e., CHAMPS study participants who agreed to be contacted about future research opportunities)
5. Works in the healthcare professions
6. Elevated eating distress as indicated by Loss of Control Eating scores above the median of 2 in this cohort.
7. Owns either an iPhone or Android smartphone for running the app involved in the intervention

Exclusion Criteria

1. History of a heart transplant or a pacemaker.
2. Uncontrolled kidney disease
3. Uncontrolled diabetes
4. Heart failure
5. COPD (Chronic Obstructive Pulmonary Disease)
6. Use of tricyclic antidepressant (e.g., nortriptyline, amitriptyline) above 75 mgs daily
7. Use of illicit stimulants (e.g., cocaine) or narcotic drugs
8. Inability to perform study protocol (self selected)
9. Current use of HRV biofeedback training
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Villanova University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Janell Mensinger, PhD

Role: PRINCIPAL_INVESTIGATOR

Villanova University

Locations

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Villanova University

Villanova, Pennsylvania, United States

Site Status

Countries

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United States

References

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Lehrer P, Kaur K, Sharma A, Shah K, Huseby R, Bhavsar J, Sgobba P, Zhang Y. Heart Rate Variability Biofeedback Improves Emotional and Physical Health and Performance: A Systematic Review and Meta Analysis. Appl Psychophysiol Biofeedback. 2020 Sep;45(3):109-129. doi: 10.1007/s10484-020-09466-z.

Reference Type BACKGROUND
PMID: 32385728 (View on PubMed)

Martin E, Dourish CT, Rotshtein P, Spetter MS, Higgs S. Interoception and disordered eating: A systematic review. Neurosci Biobehav Rev. 2019 Dec;107:166-191. doi: 10.1016/j.neubiorev.2019.08.020. Epub 2019 Aug 24.

Reference Type BACKGROUND
PMID: 31454626 (View on PubMed)

Pinna T, Edwards DJ. A Systematic Review of Associations Between Interoception, Vagal Tone, and Emotional Regulation: Potential Applications for Mental Health, Wellbeing, Psychological Flexibility, and Chronic Conditions. Front Psychol. 2020 Aug 5;11:1792. doi: 10.3389/fpsyg.2020.01792. eCollection 2020.

Reference Type BACKGROUND
PMID: 32849058 (View on PubMed)

Watford TS, Braden A, O'Brien WH. Resting state heart rate variability in clinical and subthreshold disordered eating: A meta-analysis. Int J Eat Disord. 2020 Jul;53(7):1021-1033. doi: 10.1002/eat.23287. Epub 2020 May 21.

Reference Type BACKGROUND
PMID: 32437089 (View on PubMed)

Mensinger JL, Weissinger GM, Cantrell MA, Baskin R, George C. A Pilot Feasibility Evaluation of a Heart Rate Variability Biofeedback App to Improve Self-Care in COVID-19 Healthcare Workers. Appl Psychophysiol Biofeedback. 2024 Jun;49(2):241-259. doi: 10.1007/s10484-024-09621-w.

Reference Type DERIVED
PMID: 38502516 (View on PubMed)

Other Identifiers

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IRB-FY2021-233

Identifier Type: -

Identifier Source: org_study_id

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