Educators' Digital Occupational Well-being Intervention During Working Hours
SHINE
Recognize the Power Within and SHINE - Educators' Digital Occupational Well-being Intervention in Health and Social Care Education
1 other identifier
interventional
80
1 country
1
Brief Summary
This controlled quasi experimental intervention study follows the MRC framework for complex interventions (Bleijenberg et al. 2018) aiming to promote educators' individual aspect of occupational well-being. The purpose of this study is: 1) to evaluate the effectiveness of 8-workweek SHINE (= Self-Help INtervention for Educators) on educator's individual aspect of occupational well-being comparing intervention and control groups and 2) to describe the possible associating factors for the effectiveness of the intervention (if any) and 3) to evaluate SHINE's acceptability (utility and usability) within intervention group.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Feb 2022
Shorter than P25 for not_applicable
1 active site
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
January 12, 2022
CompletedStudy Start
First participant enrolled
February 7, 2022
CompletedFirst Posted
Study publicly available on registry
April 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 29, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
May 29, 2022
CompletedDecember 13, 2022
December 1, 2022
4 months
January 12, 2022
December 11, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Change in resource-workload-balance
Change in resource-workload-balance. 16-item self-reported questionnaire with continuous scale 1-5 (1= very poor - 5= very good). Questionnaire consists of questions of personal resources at work and workload factors \[9-item developed for this study and 7 items from "Occupational well-being of social and health care teachers - index questionnaire" (Saaranen et al., 2007)\]
pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 weeks of enrollment)
Change in HRV
Change in physical heart rate variability (=HRV). Change in the HRV (try to increase heart rate variability); in the variation in the time interval between consecutive heartbeats in milliseconds (ms). Heart rate variability (HRV) 3 minutes measurements are performed in work mornings at rest using Kubios HRV mobile application and a compatible belt-heart rate sensor (Polar H10 or H7). The beat-to-beat RR interval data (i.e. time intervals between successive heart beats) is pre-processed and analyzed at Kubios (Tarvainen et al. 2014; https://www.kubios.com/)
pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 weeks)
Secondary Outcomes (2)
Change in Overall occupational well-being
pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks)
Change in General well-being
pre (week before enrollment) /post (after 8 workweeks) /follow-up (after 12 workweeks)
Other Outcomes (7)
Change of Physical activity_condition
pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks)
Change of Recovery_condition
pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks)
Change of Self-regulation_condition
pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks)
- +4 more other outcomes
Study Arms (2)
Intervention group (IG)
EXPERIMENTALParticipants are educators working in health and social care education receiving 8 work week-SHINE.
Control group (CG)
NO INTERVENTIONParticipants are educators working in health and social care education without the program continuing their normal daily routines receiving SHINE for their voluntary use after this study (waitlist).
Interventions
Intervention group will use a 8-workweeks the digital Smart Break SHINE program with workplace support (encouragement and time-support) including daily 3 minutes break exercises twice a day; 1) physical exercise - break and 2) body/mind breathing exercise - break earning stars for exercise completed. The program includes weekly self-reflective task of individual well-being during working hours with weekly changing theme (avoiding sitting time, nature benefits, relaxation exercises, increasing physical activity in workplace etc.) earning diamonds for every weekly task completed. Participants self-monitors their weekly individual resources levels asked in every Thursday (1-5, 1= very poor. 5= very good). Program includes e-mail remainders set by participant themselves for suitable time frame These individual well-being actions takes approximately 15 minutes/workday. Control group will receive this program after this study (waitlist protocol).
Eligibility Criteria
You may qualify if:
- Working as qualified educator (at least qualification of EQF 7) in secondary health and social care education
- Full-time work contract
- Having at least one-year employment in the organization
You may not qualify if:
- having pacemaker or being pregnant (cause of the HRV measures)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Turkulead
- The Trade Union of Education in Finland (OAJ)collaborator
- University of Eastern Finlandcollaborator
Study Sites (1)
Jenni Rinne
Turku, 20540, Finland
Related Publications (10)
Bleijenberg N, de Man-van Ginkel JM, Trappenburg JCA, Ettema RGA, Sino CG, Heim N, Hafsteindottir TB, Richards DA, Schuurmans MJ. Increasing value and reducing waste by optimizing the development of complex interventions: Enriching the development phase of the Medical Research Council (MRC) Framework. Int J Nurs Stud. 2018 Mar;79:86-93. doi: 10.1016/j.ijnurstu.2017.12.001. Epub 2017 Dec 5.
PMID: 29220738BACKGROUNDTarvainen MP, Niskanen JP, Lipponen JA, Ranta-Aho PO, Karjalainen PA. Kubios HRV--heart rate variability analysis software. Comput Methods Programs Biomed. 2014;113(1):210-20. doi: 10.1016/j.cmpb.2013.07.024. Epub 2013 Aug 6.
PMID: 24054542BACKGROUNDSonnentag S, Fritz C. The Recovery Experience Questionnaire: development and validation of a measure for assessing recuperation and unwinding from work. J Occup Health Psychol. 2007 Jul;12(3):204-21. doi: 10.1037/1076-8998.12.3.204.
PMID: 17638488BACKGROUNDChau JY, Van Der Ploeg HP, Dunn S, Kurko J, Bauman AE. Validity of the occupational sitting and physical activity questionnaire. Med Sci Sports Exerc. 2012 Jan;44(1):118-25. doi: 10.1249/MSS.0b013e3182251060.
PMID: 21659903BACKGROUNDde Bloom J, Kinnunen U, Korpela K. Recovery Processes During and After Work: Associations With Health, Work Engagement, and Job Performance. J Occup Environ Med. 2015 Jul;57(7):732-42. doi: 10.1097/JOM.0000000000000475.
PMID: 26147541BACKGROUNDHennessy EA, Johnson BT, Acabchuk RL, McCloskey K, Stewart-James J. Self-regulation mechanisms in health behavior change: a systematic meta-review of meta-analyses, 2006-2017. Health Psychol Rev. 2020 Mar;14(1):6-42. doi: 10.1080/17437199.2019.1679654.
PMID: 31662031BACKGROUNDArian M, Soleimani M, Oghazian MB. Job satisfaction and the factors affecting satisfaction in nurse educators: A systematic review. J Prof Nurs. 2018 Sep-Oct;34(5):389-399. doi: 10.1016/j.profnurs.2018.07.004. Epub 2018 Jul 7.
PMID: 30243696BACKGROUNDSingh C, Cross W, Munro I, Jackson D. Occupational stress facing nurse academics-A mixed-methods systematic review. J Clin Nurs. 2020 Mar;29(5-6):720-735. doi: 10.1111/jocn.15150. Epub 2020 Jan 2.
PMID: 31856356BACKGROUNDMoore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, Moore L, O'Cathain A, Tinati T, Wight D, Baird J. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015 Mar 19;350:h1258. doi: 10.1136/bmj.h1258.
PMID: 25791983BACKGROUNDSaaranen T, Tossavainen K, Turunen H, Kiviniemi V, Vertio H. Occupational well-being of school staff members: a structural equation model. Health Educ Res. 2007 Apr;22(2):248-60. doi: 10.1093/her/cyl073. Epub 2006 Jul 31.
PMID: 16880218BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Helena Leino-Kilpi, PhD
University of Turku
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
January 12, 2022
First Posted
April 1, 2022
Study Start
February 7, 2022
Primary Completion
May 29, 2022
Study Completion
May 29, 2022
Last Updated
December 13, 2022
Record last verified: 2022-12
Data Sharing
- IPD Sharing
- Will not share
This data is available only for this study