Personalized Stress Management With Application of Portable Devices in Occupational Populations
PSMPD
Knowledge Translation of Personalized Stress Management in Occupational Populations With Application of HUAWEI Portable Devices
1 other identifier
interventional
400
1 country
1
Brief Summary
Hospital setting is a stressful environment to the hospital staff due to work shifts, high level of responsibility, stressful challenging situations, as well as work and emotional pressures. The rate of burnout among hospital staff is high, as well as the risk of depression and suicide. The association between chronic work stress in hospital and the development of metabolic syndrome, cardiovascular complications and cancer is well established. However, it is actually not easy for the hospital staff to establish a healthier life habit and stress management skills by themselves due to the busy work schedule and the lack of persistence of building up new habits. We hypothesized that conduction of the personalized stress management coaching with the assistance of portable device could be beneficial for the hospital staff to adopt a few healthy behaviors for daily practice, which could reduce stress and the related consequences. The current study will be conducted in two separate hospitals from Wuhan (China) with different intervention strategies and conduction teams. Each institution will recruit 200 participants and complete the full set of biographic information collections at recruitment. Clinical score evaluations, biosample collections as well as 24 h Holter monitoring will be both collected at the recruitment and after 3-month intervention phase. Tongji hospital will receive the active stress-management intervention; the health educator will group the participants together and provide on a weekly basis: stress knowledge and stress-related hazards online, stress management necessities and skills. Meanwhile, weekly data of exercises, cardiac health and sleep condition generated from HUAWEI portable devices will be summarized and sent to the participants together with personalized suggestions and encouragement by trained nurses. Participants from Tongji hospital will be involved in a social network to share their experience and gain insight from the discussions. Finally, they will also complete an electronic diary that covers elements of daily life and stress management activity. The Control institution will be Wuhan No1 hospital, the participants will receive minimum information regarding stress and stress management; they will not receive personalized intervention and will not be involved in group chat. They will be asked to fill in a simplified questionnaire biweekly. The outcome parameters will be the stress relief evaluated by clinical forms and questionnaires, heart rate variability (HRV) parameters, and the establishments of healthier life habits. The current study design would propose a novel strategic stress management plan for the hospital administrates in order to improve the hospital staff health.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2021
CompletedFirst Submitted
Initial submission to the registry
December 13, 2021
CompletedFirst Posted
Study publicly available on registry
February 14, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2022
CompletedFebruary 14, 2022
February 1, 2022
9 months
December 13, 2021
February 3, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (11)
Change of the frequency of applications of stress-relieving strategies compared to the baseline
The frequency of applications of stress-relieving strategies, including daily physical activity, deep slow breathing activity, relaxation or mindfulness meditation, which would be conducted by the participants voluntarily, will be summarized on weekly basis.
Baseline (The first week of participating the program) , endpoint time point (The last week of participating the program), and every week between these 2 time points during the 3-month intervention
Change of the Chinese version of Perceived Stress Scale (PSS score) for evaluation of stress compared to the baseline
Perceived Stress Scale (PSS score) assess the extent of feeling of nervousness and loss of control, including 14 questions. For each question, "1" for "Never", "2" for "Once in a while", "3" for "Sometimes", "4" for "Often", "5" for "Always". The total score is between 14-70.A higher score indicates a higher level of perceived stress.
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of depression Anxiety Stress Scale (DASS score) for assessing stress, depression and anxiety compared to the baseline
The Depression Anxiety Stress Scale (DASS-12) has been demonstrated to be a reliable and valid measure in assessing mental health in the Chinese population. Questions 3, 5, 10, 13, 16, 17 and 21 formed the depression subscale. The total depression subscale score was divided into normal (0-9), mild depression (10-12), moderate depression (13-20), severe depression (21-27), and extremely severe depression (28-42). Questions 2, 4, 7, 9, 15, 19, and 20 formed the anxiety subscale. The total anxiety subscale score was divided into normal (0-6), mild anxiety (7-9), moderate anxiety (10-14), severe anxiety (15-19), and extremely severe anxiety (20-42). Questions 1, 6, 8, 11, 12, 14, and 18 formed the stress subscale. The total stress subscale score was divided into normal (0-10), mild stress (11-18), moderate stress (19-26), severe stress (27-34), and extremely severe stress (35-42).
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of trier work-stress scale (TICS-9 scale) for evaluating the sources of chronic stress in daily life compared to the baseline
The Trier Inventory for Chronic Stress (TICS) is a standardized questionnaire for assessing nine interrelated factors of chronic stress from 9 dimensions: Work Overload, Social Overload, Pressure to Perform, Work Discontent, Excessive Demands from Work, Lack of Social Recognition, Social Tensions, Social Isolation, and Chronic Worrying. The TICS-9 is a short version of the original 57-item TICS. This version includes nine items reflecting all dimensions of the long version. The items can be rated from 0 to 5 (0 = never, 1 = rarely, 2 = sometimes, 3 = often, 4 = very often). Higher values suggest greater stress. Satisfactory psychometrics have been evidenced in several studies, with Cronbach's Alpha ranging from α = 0.88-0.91.
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of the Fatigue Scale (FAS) for evaluating fatigue compared to the baseline
The Fatigue Scale (FAS) was used to measure total fatigue, and includes 10 items rated on a 5-point rating scale (1=never\~ 5=always). This scale has good reliability and content validity for measuring fatigue in a general or worker population.
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of the Epworth Sleepiness Scale for sleep quality compared to the baseline
The Epworth Sleepiness Scale (ESS) includes 8 items and assesses the general level of daytime sleepiness. Scores range from 0-24 where higher scores indicate greater sleepiness. Following the developer's suggestion, a score greater than 10 was classified as high daytime sleepiness.
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of the Subjective Happiness Scale (SHS) for evaluating subjective global happiness compared to the baseline
The Subjective Happiness Scale (SHS) is a four-item measure of subjective global happiness rated on a seven-point Likert scale. A single SHS score is the mean of the responses to the four items. SHS scores can range from 1 to 7, where a higher score indicates a higher level of happiness.
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of heart rate variability (HRV) parameters (time-domain analysis:SDNN, SDNN index, SDANN index, RMMSD) for assessing the autonomic nervous system compared to the baseline
Heart rate variability (HRV) to assess the autonomic nervous system using different parameters from time-domain analysis (SDNN, SDNN index, SDANN index, RMMSD), the unit for these parameters are all "millisecond". The participants will have 24 hr cardiac holter monitoring at the recruitment and the last day of 3-month intervention. SDNN: Standard deviation of NN intervals, NN interval is the time (normalized) between two detected heartbeat detections. (unit: ms) SDANN: Standard deviation of the average NN intervals for each 5 min segment of a 24 h HRV recording. (unit: ms) SDNN index: Mean of the standard deviations of all the NN intervals for each 5 min segment of a 24 h HRV recording. (unit: ms) RMMSD: Root mean square of successive RR interval differences. (unit: ms)
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of heart rate variability (HRV) parameters (time-domain analysis: pNN50) for assessing the autonomic nervous system compared to the baseline
Heart rate variability (HRV) to assess the autonomic nervous system using different parameters from time-domain analysis (pNN50), the unit for these parameters are all "percentage %". The participants will have 24 hr cardiac holter monitoring at the recruitment and the last day of 3-month intervention. pNN50: Percentage of successive RR intervals that differ by more than 50 ms. (unit: %)
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of heart rate variability (HRV) parameters (frequency-domain analysis: VLF power, LF power, HF power) for assessing the autonomic nervous system compared to the baseline
Heart rate variability (HRV) to assess the autonomic nervous system using different parameters from frequency-domain analysis (VLF power, LF power, HF power), all the units are "ms2". The participants will have 24 hr cardiac holter monitoring at the recruitment and the last day of 3-month intervention. VLF (very-low-frequency) power: Absolute power of the very-low-frequency band (0.0033-0.04 Hz) (unit: ms2). LF (low-frequency) power: Absolute power of the low-frequency band (0.04-0.15 Hz)(unit: ms2). HF (high-frequency) power: Absolute power of the high-frequency band (0.15-0.4 Hz) (unit: ms2).
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Change of heart rate variability (HRV) parameters (frequency-domain analysis: LF/HF) for assessing the autonomic nervous system compared to the baseline
Heart rate variability (HRV) to assess the autonomic nervous system using different parameters from frequency-domain analysis (LF/HF), the unit is "percentage %". The participants will have 24 hr cardiac holter monitoring at the recruitment and the last day of 3-month intervention. LF/HF: Ratio of LF(low-frequency)-to-HF(high-frequency) power.(unit: %).
Baseline (at recruitment) and endpoint (the last day of 3-month intervention)
Secondary Outcomes (4)
Change of the daily travel distance as evaluated by portable device compared to the baseline
Daily during the 3-month intervention (during the time of wearing the HUAWEI bracelet)
Change of medium-to-high level exercise time duration as evaluated by portable device compared to the baseline
Daily during the 3-month intervention (during the time of wearing the HUAWEI bracelet)
Change of the total steps traveled daily as evaluated by portable device compared to the baseline
Daily during the 3-month intervention (during the time of wearing the HUAWEI bracelet)
Change of the daily duration for wearing portable device compared to the baseline
Daily during the 3-month intervention (during the time of wearing the HUAWEI bracelet)
Study Arms (2)
Personalized stress management nursing coaching with application of portable device
EXPERIMENTALArm (Tongji Hospital) All the participants will receive a paper-printed brochure introducing stress and stress management strategies and the instruction of using HUAWEI portable device at the recruitment. During the 3-month intervention phase, multiple formats of stress and stress management knowledge educations will be sent by the health educator on weekly basis. The participants will have personalized stress management nursing coaching and assistance of building up new life habits, they will be also encouraged to submit a weekly questionnaire for self-evaluation. Finally, participants from Tongji hospital will be involved in a social network to share their experience anonymously and gain knowledge from the group chat.
Minimum information transfer and assistance of building up healthy life habits
SHAM COMPARATORArm2 (Wuhan No1 Hospital) - The participants will only receive a paper-printed brochure introducing stress and stress management strategies and the instruction of using HUAWEI portable device at the recruitment. There is no recurrent knowledge education, interpersonal communications, data feedbacks with the participants during the 3-month intervention phase.
Interventions
The participants will receive a paper-printed booklet introducing stress and stress management strategies, regular exercise, deep breathing and mediation, etc, as well as a HUAWEI portable device at the recruitment. During the following 3-month intervention phase, there is not informational materials, portable device data feedback, online group discussion or interpersonal communications with the participants. The participants will only need to fill in a simplified questionnaire biweekly.
The participants will receive a paper-printed booklet introducing stress and stress management strategies and a HUAWEI portable device at the recruitment. A neurologist will be the health educator to host an online group for free communications. The typical stress-relieving methods and the strategies of using portable device will be explained by providing small videos, online article links and nursing coaching in person. The health educator will give regular knowledge educations about the stress hazards, stress management necessities and skills on weekly basis. The weekly data of HUAWEI portable devices will be sent to the participants along with personalized suggestions by trained nurses. At certain occasions, gifts and rewards will be sent out for encouragement and keeping attachment to the program. The participants will be required to fill in the weekly questionnaires online for feedback.
Eligibility Criteria
You may qualify if:
- Working as night-shift staff in Tongji hospital
- Need to keep this position for at least 6 months (no plan to leave)
- Selection will ensure a good balance of age and gender
- Willing to participate in the study and sign the consent form
You may not qualify if:
- Planning to leave the hospital or the units for any reason
- Not a good medical condition or context for reliable follow-up
- Having a serious medical condition (for instance cancer, stroke)
- Living in a special life context that is source of stress
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Huazhong University of Science and Technologylead
- Wuhan No.1 Hospitalcollaborator
Study Sites (1)
Tongji Hospital
Wuhan, Hubei, 430000, China
Related Publications (22)
Dziembowska I, Izdebski P, Rasmus A, Brudny J, Grzelczak M, Cysewski P. Effects of Heart Rate Variability Biofeedback on EEG Alpha Asymmetry and Anxiety Symptoms in Male Athletes: A Pilot Study. Appl Psychophysiol Biofeedback. 2016 Jun;41(2):141-50. doi: 10.1007/s10484-015-9319-4.
PMID: 26459346BACKGROUNDScherz WD, Seepold R, Madrid NM, Crippa P, Ortega JA. RR interval analysis for the distinction between stress, physical activity and no activity using a portable ECG. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4522-4526. doi: 10.1109/EMBC44109.2020.9175458.
PMID: 33018999BACKGROUNDHarvey SB, Epstein RM, Glozier N, Petrie K, Strudwick J, Gayed A, Dean K, Henderson M. Mental illness and suicide among physicians. Lancet. 2021 Sep 4;398(10303):920-930. doi: 10.1016/S0140-6736(21)01596-8.
PMID: 34481571RESULTMarchalik D. Physician burnout in the modern era. Lancet. 2019 Mar 2;393(10174):868-869. doi: 10.1016/S0140-6736(19)30399-X. No abstract available.
PMID: 30837137RESULTWest CP, Dyrbye LN, Erwin PJ, Shanafelt TD. Interventions to prevent and reduce physician burnout: a systematic review and meta-analysis. Lancet. 2016 Nov 5;388(10057):2272-2281. doi: 10.1016/S0140-6736(16)31279-X. Epub 2016 Sep 28.
PMID: 27692469RESULTDebnath S, Levy TJ, Bellehsen M, Schwartz RM, Barnaby DP, Zanos S, Volpe BT, Zanos TP. A method to quantify autonomic nervous system function in healthy, able-bodied individuals. Bioelectron Med. 2021 Aug 27;7(1):13. doi: 10.1186/s42234-021-00075-7.
PMID: 34446089RESULTHamasaki H. Effects of Diaphragmatic Breathing on Health: A Narrative Review. Medicines (Basel). 2020 Oct 15;7(10):65. doi: 10.3390/medicines7100065.
PMID: 33076360RESULTDe Couck M, Caers R, Musch L, Fliegauf J, Giangreco A, Gidron Y. How breathing can help you make better decisions: Two studies on the effects of breathing patterns on heart rate variability and decision-making in business cases. Int J Psychophysiol. 2019 May;139:1-9. doi: 10.1016/j.ijpsycho.2019.02.011. Epub 2019 Mar 1.
PMID: 30826382RESULTDavila MI, Lewis GF, Porges SW. The PhysioCam: A Novel Non-Contact Sensor to Measure Heart Rate Variability in Clinical and Field Applications. Front Public Health. 2017 Nov 22;5:300. doi: 10.3389/fpubh.2017.00300. eCollection 2017.
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PMID: 27010234RESULTPrinsloo GE, Derman WE, Lambert MI, Laurie Rauch HG. The effect of a single session of short duration biofeedback-induced deep breathing on measures of heart rate variability during laboratory-induced cognitive stress: a pilot study. Appl Psychophysiol Biofeedback. 2013 Jun;38(2):81-90. doi: 10.1007/s10484-013-9210-0.
PMID: 23435801RESULTAguilar-Raab C, Stoffel M, Hernandez C, Rahn S, Moessner M, Steinhilber B, Ditzen B. Effects of a mindfulness-based intervention on mindfulness, stress, salivary alpha-amylase and cortisol in everyday life. Psychophysiology. 2021 Dec;58(12):e13937. doi: 10.1111/psyp.13937. Epub 2021 Sep 15.
PMID: 34525214RESULTWatford TS, O'Brien WH, Koerten HR, Bogusch LM, Moeller MT, Sonia Singh R, Sims TE. The mindful attention and awareness scale is associated with lower levels of high-frequency heart rate variability in a laboratory context. Psychophysiology. 2020 Mar;57(3):e13506. doi: 10.1111/psyp.13506. Epub 2019 Nov 17.
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PMID: 30765300RESULTHeckenberg RA, Eddy P, Kent S, Wright BJ. Do workplace-based mindfulness meditation programs improve physiological indices of stress? A systematic review and meta-analysis. J Psychosom Res. 2018 Nov;114:62-71. doi: 10.1016/j.jpsychores.2018.09.010. Epub 2018 Sep 22.
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PMID: 28838887RESULTLemaire JB, Wallace JE, Lewin AM, de Grood J, Schaefer JP. The effect of a biofeedback-based stress management tool on physician stress: a randomized controlled clinical trial. Open Med. 2011;5(4):e154-63. Epub 2011 Oct 4.
PMID: 22567069RESULTMalmberg Gavelin H, Eskilsson T, Boraxbekk CJ, Josefsson M, Stigsdotter Neely A, Slunga Jarvholm L. Rehabilitation for improved cognition in patients with stress-related exhaustion disorder: RECO - a randomized clinical trial. Stress. 2018 Jul;21(4):279-291. doi: 10.1080/10253890.2018.1461833. Epub 2018 Apr 25.
PMID: 29693483RESULTLiu W, Wang Q, Zheng D, Mei J, Lu J, Chen G, Wang W, Ding F. The Effects of a Complex Interactive Multimodal Intervention on Personalized Stress Management Among Health Care Workers in China: Nonrandomized Controlled Study. J Med Internet Res. 2024 Jul 12;26:e45422. doi: 10.2196/45422.
PMID: 38996333DERIVEDWang Q, Collet JP, Mei J, Chen G, Huang S, Yang Y, Wang W, Ding F. Complex interactive multimodal intervention to improve personalized stress management among healthcare workers in China: A knowledge translation protocol. Digit Health. 2023 Jul 24;9:20552076231184052. doi: 10.1177/20552076231184052. eCollection 2023 Jan-Dec.
PMID: 37545629DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
December 13, 2021
First Posted
February 14, 2022
Study Start
October 1, 2021
Primary Completion
July 1, 2022
Study Completion
December 31, 2022
Last Updated
February 14, 2022
Record last verified: 2022-02