Physical Activity Clinical Trial
— SHINEOfficial title:
Recognize the Power Within and SHINE - Educators' Digital Occupational Well-being Intervention in Health and Social Care Education
Verified date | December 2022 |
Source | University of Turku |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
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.
Status | Completed |
Enrollment | 80 |
Est. completion date | May 29, 2022 |
Est. primary completion date | May 29, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 70 Years |
Eligibility | Inclusion Criteria: - 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 Exclusion Criteria: - having pacemaker or being pregnant (cause of the HRV measures) |
Country | Name | City | State |
---|---|---|---|
Finland | Jenni Rinne | Turku |
Lead Sponsor | Collaborator |
---|---|
University of Turku | The Trade Union of Education in Finland (OAJ), University of Eastern Finland |
Finland,
Arian 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. — View Citation
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. — View Citation
Chau 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. — View Citation
de 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. — View Citation
Hennessy 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. — View Citation
Moore 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. — View Citation
Saaranen 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. — View Citation
Singh 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. — View Citation
Sonnentag 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. — View Citation
Tarvainen 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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Change of Physical activity_condition | Change of physical activity during working hours (etc. less sitting). Intervention's component with 3-item "OSPAQ, occupational sitting and physical activity questionnaire" (CHAU et al., 2012) including questions of weekly working hours (h) and working days (d) and physical activity at work with percentages during that week (100 % is total activity in workweek consisting, sitting, standing, walking and heavy labour). | pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks) | |
Other | Change of Recovery_condition | Intervention's component: 4-item recovery measurement (psychological detachment and relaxation) adapted from "Recovery experience questionnaire" (Sonnentag & Fritz, 2007). Likert scale 1-5 (1= total disagreement to 5= total agreement, 5 indicating better recovery). Recovery measured during working hours (de Bloom et al. 2015). | pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks) | |
Other | Change of Self-regulation_condition | Intervention's component:
6-item developed for this study based on previous references (etc. Hennessy et al., 2020) with continuous scale 1-5 (1= total disagreement to 5= total agreement, 5 indicating better self-regulation of personal resources at work) |
pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks) | |
Other | Change of Workplace support_condition | Intervention's component: 2-item developed for this study from the previous studies indicating the importance providing support towards personal resources during working hours (etc. Arian et al., 2018 and Singh et al., 2019). Continuous scale 1-5 (1= total disagreement to 5= total agreement, 5 indicating better support towards personal resources). | pre (week before enrollment) /post (after 8-workweeks) /follow-up (after 12 workweeks) | |
Other | Background variables | Background variables:
5-item personal related (age, gender and family relations) 5-item work-related (work experience, remote working and work autonomy and vacations during intervention time) |
pre (week before enrollment) | |
Other | SHINE Acceptability: usability (intervention group) | With 10-item SUS-scale (system usability scale) (Brooke, 1996) of the Smart Break SHINE program's usability. Likert scale 1-5 (1= strongly disagree- 5= strongly agree).There is specific formula to o calculate to obtain the overall value of SUS range of 0 to 100, 100 being the best SUS score for occupational well-being program, Smart Break-SHINE. | post 8-workweeks | |
Other | SHINE Acceptability: usefulness (intervention group) | 9-item The utility and actions for development of SHINE developed for this study is based on Medical Research Council (MRC) guidance for the process evaluation of complex interventions (Moore et al., 2015).
Continuous scale 1-5 (1= strongly disagree- 5= strongly agree, 5 indicating better usefulness of the program) and two open-ended questions with no subjective opinions of the best qualities of SHINE and actions for development. |
post 8-workweeks | |
Primary | 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) | |
Primary | 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 | Change in Overall occupational well-being | Change in overall occupational well-being With one item: " I feel that my personal occupational well-being in this profession compared to the best possible level is" (continuous scale 0-5, 0= very poor - 5 = very good) 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 workweeks) | |
Secondary | Change in General well-being | Change in individual's well-being in general. With 5-item "WHO5 well-being index-questionnaire" (https://www.corc.uk.net/outcome-experience-measures/the-world-health-organisation-five-well-being-index-who-5/).
The WHO-5 consists of five statements, which respondents' rate according to the scale 0-5 (in relation to the past two weeks, 0= at no time- 5= all the time). The total raw score, ranging from 0 to 25, is multiplied by 4 to give the final score, with 0 representing the worst imaginable well-being and 100 representing the best imaginable well-being. |
pre (week before enrollment) /post (after 8 workweeks) /follow-up (after 12 workweeks) |
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