NCT02980237

Brief Summary

The objective this study is evaluate if an e-Health education program at the workplace to contributes to improve quality of life from Office Workers. And:Life style modification; Improve physical activity Reduces on Anthropometric Measures; Reduces Pain and discomfort in the musculoskeletal system

Trial Health

87
On Track

Trial Health Score

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

Enrollment
384

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Apr 2017

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

August 23, 2016

Completed
3 months until next milestone

First Posted

Study publicly available on registry

December 2, 2016

Completed
5 months until next milestone

Study Start

First participant enrolled

April 20, 2017

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 17, 2017

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 2, 2018

Completed
Last Updated

April 17, 2019

Status Verified

April 1, 2019

Enrollment Period

6 months

First QC Date

August 23, 2016

Last Update Submit

April 16, 2019

Conditions

Keywords

Office workersQuality of lifee-LearningOccupational health

Outcome Measures

Primary Outcomes (1)

  • Change from baseline Quality of life at 6 and 8 months

    A questionnaire to evaluate the improve the quality of life after 6 and 8 months after began the program will be used (WHOQOL-BREF :instrument comprises 26 items, which measure the following broad domains: physical health, psychological health, social relationships, and environment).

    Baseline, 6 and 8 months

Secondary Outcomes (3)

  • Change from Anthropometric measure at 6 and 8 months

    Baseline, 6 and 8 months

  • Change from Pain and/or musculoskeletal discomfort measure at 6 and 8 months

    Baseline, 6 and 8 months

  • Change from Lifestyle at 6 and 8 months

    Baseline, 6 and 8 months

Study Arms (2)

eHealth_additional support

EXPERIMENTAL

An e-learning education program whose audiovisual content will be implemented. The course could be access in the workplace but they will be additional support.

Other: eHealth_additional support

eHealth

ACTIVE COMPARATOR

This group will receive an e-learning education program same as the intervention group . However, the participants will not receive additional support by team.

Other: eHealth_program

Interventions

An e-learning education program whose audiovisual content will be implemented. Nine audiovisual e-Health program will be composed of nine video classes addressing the following topics: 1) musculoskeletal health, 2) healthy diet and 3) mental health were identified through focus group. A communication tool will be adopted is the Moodle environment. All the participants will be able to whipping the web platform and questions regarding access and navigation are answered by e-mail. All participants will be monitored, as viewing the videos, and whenever it is identified that the participants not accessed and lack of interest of reasons. A team of tutors will be responsible for online support providing reinforcing stimuli and clarifying any questions (intervention group) on the content.

eHealth_additional support

The comparative group will receive the same eHealth education program that intervention group. But the comparative group will receive only audiovisuals without additional support. .

eHealth

Eligibility Criteria

Age18 Years - 70 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Technical-administrative workers, computer users for a minimum period of six months. ,
  • Signed informed consent form

You may not qualify if:

  • Suspected or confirmed pregnant workers at randomization time
  • Mothers what Breastfeeding
  • Workers in annual leave.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Rosimeire Simprini Padula

Atibaia, São Paulo, 12942-770, Brazil

Location

Related Publications (17)

  • Andersen JH, Fallentin N, Thomsen JF, Mikkelsen S. Risk factors for neck and upper extremity disorders among computers users and the effect of interventions: an overview of systematic reviews. PLoS One. 2011 May 12;6(5):e19691. doi: 10.1371/journal.pone.0019691.

  • Dillon C, Petersen M, Tanaka S. Self-reported hand and wrist arthritis and occupation: data from the U.S. National Health Interview Survey-Occupational Health Supplement. Am J Ind Med. 2002 Oct;42(4):318-27. doi: 10.1002/ajim.10117.

  • Mulder R, Pouwelse M, Lodewijkx H, Bolman C. Workplace mobbing and bystanders' helping behaviour towards victims: the role of gender, perceived responsibility and anticipated stigma by association. Int J Psychol. 2014 Aug;49(4):304-12. doi: 10.1002/ijop.12018. Epub 2013 Nov 20.

  • Raman SR, Al-Halabi B, Hamdan E, Landry MD. Prevalence and risk factors associated with self-reported carpal tunnel syndrome (CTS) among office workers in Kuwait. BMC Res Notes. 2012 Jun 13;5:289. doi: 10.1186/1756-0500-5-289.

  • Thorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996-2011. Am J Prev Med. 2011 Aug;41(2):207-15. doi: 10.1016/j.amepre.2011.05.004.

  • Waersted M, Hanvold TN, Veiersted KB. Computer work and musculoskeletal disorders of the neck and upper extremity: a systematic review. BMC Musculoskelet Disord. 2010 Apr 29;11:79. doi: 10.1186/1471-2474-11-79.

  • Bernal D, Campos-Serna J, Tobias A, Vargas-Prada S, Benavides FG, Serra C. Work-related psychosocial risk factors and musculoskeletal disorders in hospital nurses and nursing aides: a systematic review and meta-analysis. Int J Nurs Stud. 2015 Feb;52(2):635-48. doi: 10.1016/j.ijnurstu.2014.11.003. Epub 2014 Nov 15.

  • Bandoni DH, Sarno F, Jaime PC. Impact of an intervention on the availability and consumption of fruits and vegetables in the workplace. Public Health Nutr. 2011 Jun;14(6):975-81. doi: 10.1017/S1368980010003460. Epub 2010 Dec 21.

  • Cash SW, Beresford SA, Henderson JA, McTiernan A, Xiao L, Wang CY, Patrick DL. Dietary and physical activity behaviours related to obesity-specific quality of life and work productivity: baseline results from a worksite trial. Br J Nutr. 2012 Sep 28;108(6):1134-42. doi: 10.1017/S0007114511006258. Epub 2011 Dec 6.

  • Knies S, Boonen A, Severens JL. Do the Washington Panel recommendations hold for Europe: investigating the relation between quality of life versus work-status, absenteeism and presenteeism. Cost Eff Resour Alloc. 2014 Nov 24;12:24. doi: 10.1186/1478-7547-12-24. eCollection 2014.

  • Robroek SJ, Polinder S, Bredt FJ, Burdorf A. Cost-effectiveness of a long-term Internet-delivered worksite health promotion programme on physical activity and nutrition: a cluster randomized controlled trial. Health Educ Res. 2012 Jun;27(3):399-410. doi: 10.1093/her/cys015. Epub 2012 Feb 20.

  • Kreps GL, Neuhauser L. New directions in eHealth communication: opportunities and challenges. Patient Educ Couns. 2010 Mar;78(3):329-36. doi: 10.1016/j.pec.2010.01.013. Epub 2010 Mar 3.

  • Tate DF, Jackvony EH, Wing RR. A randomized trial comparing human e-mail counseling, computer-automated tailored counseling, and no counseling in an Internet weight loss program. Arch Intern Med. 2006 Aug 14-28;166(15):1620-5. doi: 10.1001/archinte.166.15.1620.

  • Palmer KT, Harris EC, Linaker C, Barker M, Lawrence W, Cooper C, Coggon D. Effectiveness of community- and workplace-based interventions to manage musculoskeletal-related sickness absence and job loss: a systematic review. Rheumatology (Oxford). 2012 Feb;51(2):230-42. doi: 10.1093/rheumatology/ker086. Epub 2011 Mar 16.

  • Krukowski RA, Tilford JM, Harvey-Berino J, West DS. Comparing behavioral weight loss modalities: incremental cost-effectiveness of an internet-based versus an in-person condition. Obesity (Silver Spring). 2011 Aug;19(8):1629-35. doi: 10.1038/oby.2010.341. Epub 2011 Jan 20.

  • Bennell KL, Rini C, Keefe F, French S, Nelligan R, Kasza J, Forbes A, Dobson F, Abbott JH, Dalwood A, Vicenzino B, Harris A, Hinman RS. Effects of Adding an Internet-Based Pain Coping Skills Training Protocol to a Standardized Education and Exercise Program for People With Persistent Hip Pain (HOPE Trial): Randomized Controlled Trial Protocol. Phys Ther. 2015 Oct;95(10):1408-22. doi: 10.2522/ptj.20150119. Epub 2015 May 28.

  • Tosta Maciel RRB, Chiavegato LD, Camelier FW, Portella DD, De Souza MC, Padula RS. Does tutors' support contribute to a telehealth program that aims to promote the quality of life of office workers? A cluster randomized controlled trial. Contemp Clin Trials Commun. 2021 Feb 1;21:100722. doi: 10.1016/j.conctc.2021.100722. eCollection 2021 Mar.

MeSH Terms

Conditions

Health Behavior

Condition Hierarchy (Ancestors)

Behavior

Study Officials

  • Rosimeire S Padula, PhD

    Universidade Cidade de São Paulo

    STUDY DIRECTOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, OUTCOMES ASSESSOR
Purpose
PREVENTION
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
PhD

Study Record Dates

First Submitted

August 23, 2016

First Posted

December 2, 2016

Study Start

April 20, 2017

Primary Completion

October 17, 2017

Study Completion

March 2, 2018

Last Updated

April 17, 2019

Record last verified: 2019-04

Data Sharing

IPD Sharing
Will not share

Locations