NCT04304703

Brief Summary

Resident wellness and physician burnout are under the spotlight more and more as data begins to show that there is a point of diminishing return on the number of hours in training. In 2003, resident work hours were restricted to less than 80 hours per week averaged over 4 weeks. This change was implemented in response to the robust body of evidence that increased work hours leads to decreased sleep, which in turn leads to medical errors and depression. These factors directly and indirectly lead to worse outcomes for patients. In residency, it is difficult objectively to assess when residents are beginning to experience burnout and depression. The investigators propose a study to determine whether tracking of certain heart rate parameters (resting heart rate and heart rate variability) as well as sleep can correlate to subjective assessment of resident wellness, burnout and depression. The investigators will also compare these measures to biomarkers of stress, such as salivary cortisol. The results of this study may lead to improved understanding of what truly causes burnout and may be an eventual target for intervention to help improve short- and long-term outcomes for resident physicians as well as their patients.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
38

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Jul 2020

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 5, 2020

Completed
6 days until next milestone

First Posted

Study publicly available on registry

March 11, 2020

Completed
4 months until next milestone

Study Start

First participant enrolled

July 3, 2020

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2021

Completed
Last Updated

November 5, 2021

Status Verified

November 1, 2021

Enrollment Period

12 months

First QC Date

March 5, 2020

Last Update Submit

November 3, 2021

Conditions

Keywords

Remote monitoringHeart rate variabilityResident wellnessResident burnoutWHOOP strap 3.0StressAnxietyDepression

Outcome Measures

Primary Outcomes (2)

  • Change in Heart Rate Variability (HRV)

    Heart Rate Variability will be objectively measured nightly. Average HRV (over two weeks) will be assessed for change every two weeks over the duration of the study.

    12 months, change measured every 2 weeks

  • Change in Maslach Burnout Inventory score (3 subscales: 0-54, 0-30, 0-48)

    Maslach Burnout Inventory - Human Services Survey for Medical Personnel (MBI-HSS (MP)). The MBI-HSS (MP) is a variation of the MBI-HSS adapted for medical personnel. The most notable alteration is this form refers to "patients" instead of "recipients". The MBI-HSS (MP) scales are Emotional Exhaustion (9 questions), Depersonalization (5 questions), and Personal Accomplishment (8 questions). Maslach Burnout Inventory score will be assessed every two weeks in survey format. Each question is scored 0-6, thus the subscale ranges are 0-54, 0-30, 0-48, respectively, with higher scores signifying higher levels of burnout for the emotional exhaustion and depersonalization subscales and lower scores signifying higher levels of burnout for the personal accomplishment subscale.

    12 months, change measured every 2 weeks

Secondary Outcomes (9)

  • Change in Sleep (hours per night)

    12 months, change measured every 2 weeks

  • Change in Resting Heart Rate (RHR)

    12 months, change measured every 2 weeks

  • Change in Average Weekly Duty Hours

    12 months, change measured every 2 weeks

  • Change in Mini ReZ score (15-76 scale)

    12 months, change measured every 2 weeks

  • Change in Physician Well-Being Index (PWBI) (0-7 scale)

    12 months, change measured every 2 weeks

  • +4 more secondary outcomes

Study Arms (1)

Internal Medicine resident subjects

Subjects who are categorical Internal Medicine residents at Penn State Hershey Medical Center (PGY1-PGY3), and meet inclusion/exclusion criteria, will be enrolled in this study and wear the WHOOP strap 3.0 for real-time measurement of physiologic metrics.

Device: WHOOP strap 3.0

Interventions

WHOOP strap 3.0, a photodiode-based device that tracks sleep, resting heart rate, and heart rate variability.

Internal Medicine resident subjects

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Internal Medicine Residents (categorical) at Penn State Hershey Medical Center (PGY-1 to PGY-3)

You may qualify if:

  • Internal Medicine Residents of Penn State Milton S. Hershey Medical Center (PGY-1 to PGY-3; categorical residents only).
  • Age greater than 18 years old.
  • Willing to wear WHOOP device for at least 80% of the time.
  • Willing to complete weekly surveys at least 80% of time.
  • Willing to provide and return saliva samples for analysis of stress biomarkers.
  • Own smart phone for pairing with WHOOP device.

You may not qualify if:

  • Preliminary or Transition-Year (TY) Internal Medicine Residents of Penn State Milton S. Hershey Medical Center

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Penn State Hershey Medical Center

Hershey, Pennsylvania, 17033, United States

Location

Related Publications (27)

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    PMID: 28369654BACKGROUND
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    PMID: 25668268BACKGROUND
  • de Zambotti M, Goldstone A, Claudatos S, Colrain IM, Baker FC. A validation study of Fitbit Charge 2 compared with polysomnography in adults. Chronobiol Int. 2018 Apr;35(4):465-476. doi: 10.1080/07420528.2017.1413578. Epub 2017 Dec 13.

    PMID: 29235907BACKGROUND
  • Mendelsohn D, Despot I, Gooderham PA, Singhal A, Redekop GJ, Toyota BD. Impact of work hours and sleep on well-being and burnout for physicians-in-training: the Resident Activity Tracker Evaluation Study. Med Educ. 2019 Mar;53(3):306-315. doi: 10.1111/medu.13757. Epub 2018 Nov 28.

    PMID: 30485496BACKGROUND
  • Kalmbach DA, Fang Y, Arnedt JT, Cochran AL, Deldin PJ, Kaplin AI, Sen S. Effects of Sleep, Physical Activity, and Shift Work on Daily Mood: a Prospective Mobile Monitoring Study of Medical Interns. J Gen Intern Med. 2018 Jun;33(6):914-920. doi: 10.1007/s11606-018-4373-2. Epub 2018 Mar 14.

    PMID: 29542006BACKGROUND
  • Jimenez Morgan S, Molina Mora JA. Effect of Heart Rate Variability Biofeedback on Sport Performance, a Systematic Review. Appl Psychophysiol Biofeedback. 2017 Sep;42(3):235-245. doi: 10.1007/s10484-017-9364-2.

    PMID: 28573597BACKGROUND
  • Goessl VC, Curtiss JE, Hofmann SG. The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis. Psychol Med. 2017 Nov;47(15):2578-2586. doi: 10.1017/S0033291717001003. Epub 2017 May 8.

    PMID: 28478782BACKGROUND
  • Basner M, Dinges DF, Shea JA, Small DS, Zhu J, Norton L, Ecker AJ, Novak C, Bellini LM, Volpp KG. Sleep and Alertness in Medical Interns and Residents: An Observational Study on the Role of Extended Shifts. Sleep. 2017 Apr 1;40(4):zsx027. doi: 10.1093/sleep/zsx027.

    PMID: 28329124BACKGROUND
  • Marek AP, Nygaard RM, Liang ET, Roetker NS, DeLaquil M, Gregorich S, Richardson CJ, Van Camp JM. The association between objectively-measured activity, sleep, call responsibilities, and burnout in a resident cohort. BMC Med Educ. 2019 May 21;19(1):158. doi: 10.1186/s12909-019-1592-0.

    PMID: 31113435BACKGROUND
  • Raj KS. Well-Being in Residency: A Systematic Review. J Grad Med Educ. 2016 Dec;8(5):674-684. doi: 10.4300/JGME-D-15-00764.1.

    PMID: 28018531BACKGROUND
  • Zahrai A, Bhandari M, Varma A, Rennie WR, Kreder H, Stephen D, McKee MD, Waddell JP, Schemitsch EH. Residents' quality of life during an orthopedic trauma rotation: a multicentre prospective observational study. Can J Surg. 2008 Jun;51(3):190-6.

    PMID: 18682757BACKGROUND
  • West CP, Shanafelt TD, Cook DA. Lack of association between resident doctors' well-being and medical knowledge. Med Educ. 2010 Dec;44(12):1224-31. doi: 10.1111/j.1365-2923.2010.03803.x.

    PMID: 21091761BACKGROUND
  • Shaffer F, Ginsberg JP. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017 Sep 28;5:258. doi: 10.3389/fpubh.2017.00258. eCollection 2017.

    PMID: 29034226BACKGROUND
  • Bullinga JR, Alharethi R, Schram MS, Bristow MR, Gilbert EM. Changes in heart rate variability are correlated to hemodynamic improvement with chronic CARVEDILOL therapy in heart failure. J Card Fail. 2005 Dec;11(9):693-9. doi: 10.1016/j.cardfail.2005.06.435.

    PMID: 16360965BACKGROUND
  • Tsuji H, Larson MG, Venditti FJ Jr, Manders ES, Evans JC, Feldman CL, Levy D. Impact of reduced heart rate variability on risk for cardiac events. The Framingham Heart Study. Circulation. 1996 Dec 1;94(11):2850-5. doi: 10.1161/01.cir.94.11.2850.

    PMID: 8941112BACKGROUND
  • Berryhill S, Morton CJ, Dean A, Berryhill A, Provencio-Dean N, Patel SI, Estep L, Combs D, Mashaqi S, Gerald LB, Krishnan JA, Parthasarathy S. Effect of wearables on sleep in healthy individuals: a randomized crossover trial and validation study. J Clin Sleep Med. 2020 May 15;16(5):775-783. doi: 10.5664/jcsm.8356. Epub 2020 Feb 11.

    PMID: 32043961BACKGROUND
  • Sekiguchi Y, Adams WM, Benjamin CL, Curtis RM, Giersch GEW, Casa DJ. Relationships between resting heart rate, heart rate variability and sleep characteristics among female collegiate cross-country athletes. J Sleep Res. 2019 Dec;28(6):e12836. doi: 10.1111/jsr.12836. Epub 2019 Mar 6.

    PMID: 30843295BACKGROUND
  • Poonja Z, O'Brien P, Cross E, Bryce R, Dance E, Jaggi P, Krentz J, Thoma B. Sleep and Exercise in Emergency Medicine Residents: An Observational Pilot Study Exploring the Utility of Wearable Activity Monitors for Monitoring Wellness. Cureus. 2018 Jul 12;10(7):e2973. doi: 10.7759/cureus.2973.

    PMID: 30237937BACKGROUND
  • Tawfik DS, Profit J, Morgenthaler TI, Satele DV, Sinsky CA, Dyrbye LN, Tutty MA, West CP, Shanafelt TD. Physician Burnout, Well-being, and Work Unit Safety Grades in Relationship to Reported Medical Errors. Mayo Clin Proc. 2018 Nov;93(11):1571-1580. doi: 10.1016/j.mayocp.2018.05.014. Epub 2018 Jul 9.

    PMID: 30001832BACKGROUND
  • Linzer M, Poplau S, Babbott S, Collins T, Guzman-Corrales L, Menk J, Murphy ML, Ovington K. Worklife and Wellness in Academic General Internal Medicine: Results from a National Survey. J Gen Intern Med. 2016 Sep;31(9):1004-10. doi: 10.1007/s11606-016-3720-4. Epub 2016 May 2.

    PMID: 27138425BACKGROUND
  • Olson K, Sinsky C, Rinne ST, Long T, Vender R, Mukherjee S, Bennick M, Linzer M. Cross-sectional survey of workplace stressors associated with physician burnout measured by the Mini-Z and the Maslach Burnout Inventory. Stress Health. 2019 Apr;35(2):157-175. doi: 10.1002/smi.2849. Epub 2019 Jan 21.

    PMID: 30467949BACKGROUND
  • Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001 Sep;16(9):606-13. doi: 10.1046/j.1525-1497.2001.016009606.x.

    PMID: 11556941BACKGROUND
  • Levis B, Benedetti A, Thombs BD; DEPRESsion Screening Data (DEPRESSD) Collaboration. Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis. BMJ. 2019 Apr 9;365:l1476. doi: 10.1136/bmj.l1476.

    PMID: 30967483BACKGROUND
  • Dickerson SS, Kemeny ME. Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research. Psychol Bull. 2004 May;130(3):355-91. doi: 10.1037/0033-2909.130.3.355.

    PMID: 15122924BACKGROUND
  • Petrakova L, Doering BK, Vits S, Engler H, Rief W, Schedlowski M, Grigoleit JS. Psychosocial Stress Increases Salivary Alpha-Amylase Activity Independently from Plasma Noradrenaline Levels. PLoS One. 2015 Aug 6;10(8):e0134561. doi: 10.1371/journal.pone.0134561. eCollection 2015.

    PMID: 26247781BACKGROUND
  • Hajduczok AG, DiJoseph KM, Bent B, Thorp AK, Mullholand JB, MacKay SA, Barik S, Coleman JJ, Paules CI, Tinsley A. Physiologic Response to the Pfizer-BioNTech COVID-19 Vaccine Measured Using Wearable Devices: Prospective Observational Study. JMIR Form Res. 2021 Aug 4;5(8):e28568. doi: 10.2196/28568.

Related Links

MeSH Terms

Conditions

Anxiety DisordersDepression

Condition Hierarchy (Ancestors)

Mental DisordersBehavioral SymptomsBehavior

Study Officials

  • Andrew Tinsley, MD

    Milton S. Hershey Medical Center

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor, Gastroenterology

Study Record Dates

First Submitted

March 5, 2020

First Posted

March 11, 2020

Study Start

July 3, 2020

Primary Completion

June 30, 2021

Study Completion

June 30, 2021

Last Updated

November 5, 2021

Record last verified: 2021-11

Data Sharing

IPD Sharing
Will not share

Locations