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Acceptance and barriers to access of occupational e-mental health: cross-sectional findings from a health-risk population of employees

  • Severin HennemannEmail author
  • Michael Witthöft
  • Matthias Bethge
  • Katja Spanier
  • Manfred E. Beutel
  • Rüdiger Zwerenz
Original Article

Abstract

Purpose

Occupational e-mental-health (OEMH) may extend existing instruments for preservation or restoration of health and work ability. As a key precondition to efficient implementation, this study examined acceptance and person-centered barriers to potential uptake of OEMH for work-related distress in employees with an elevated risk of early retirement.

Methods

Within the framework of the “Third German Sociomedical Panel of Employees”, 1829 employees with prior sickness absence payments filled out a self-administered questionnaire. Participants had a mean age of 49.93 years (SD = 4.06). 6.2% indicated prior use of eHealth interventions. Potential predictors of acceptance of OEMH were examined based on the “Unified Theory of Acceptance and Use of Technology” (UTAUT) extended by work ability, mental health, eHealth literacy and demographic characteristics.

Results

89.1% (n = 1579) showed low to moderate acceptance (M = 2.20, SD = 1.05, range 1–5). A path analysis revealed significant, positive direct effects of UTAUT predictors on acceptance (performance expectancy: 0.48, SE = 0.02, p < 0.001; effort expectancy: 0.20, SE = 0.02, p < 0.001; social influence: 0.28, SE = 0.02, p < 0.001).Online time and frequency of online health information search were further positive direct predictors of acceptance. Model fit was good [χ 2(7) = 12.91, p = 0.07, RMSEA = 0.02, CFI = 1.00, TLI = 0.99, SRMR = 0.01].

Conclusions

Attitudes towards OEMH are rather disadvantageous in the studied risk group. Implementation of OEMH, therefore, requires a-priori education including promotion of awareness, favorable attitudes regarding efficacy and usability in a collaborative approach.

Keywords

Occupational e-mental health Acceptance Mental health Work ability Cohort study 

Abbreviations

ACC OEMH

Acceptance of occupational e-mental-health

ANOVA

Analysis of variance

EE

Effort expectancy

eHEALS

eHealth literacy scale

CFI

Comparative fit index

GPIF

German pension insurance fund

GSPE

German sociomedical panel of employees

HAPA

Health Action Process Model

OEMH

Occupational e-mental-health

PE

Performance expectancy

MLR

Maximum likelihood estimation with robust standard errors

RMSEA

Root mean square error of approximation

SF-36

Short form (36) health survey

SI

Social influence

UTAUT

Unified theory of acceptance and use of technology

WAI

Work ability index

Notes

Acknowledgements

The GSPE-III has been funded by the German Pension Insurance Fund according to § 31 section 1 Nr. 5 SGB VI. The authors would like to thank Julian Thukral for his project assistance.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

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Supplementary material 1 (XLSX 22 KB)
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Supplementary material 2 (XLSX 12 KB)
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Supplementary material 3 (XLSX 15 KB)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, Institute of PsychologyUniversity of MainzMainzGermany
  2. 2.Institute of Social Medicine and EpidemiologyUniversity of LuebeckLübeckGermany
  3. 3.Department of Psychosomatic Medicine and PsychotherapyUniversity Medical Center, Gutenberg University MainzMainzGermany

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