1,084
Views
1
CrossRef citations to date
0
Altmetric
Articles

“I don’t have time”: an exploration of the role of time pressures in acceptance of internet interventions for mental health

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 169-176 | Received 08 Sep 2022, Accepted 23 Mar 2023, Published online: 22 May 2023

References

  • Andersson, G., Carlbring, P., Titov, N., & Lindefors, N. (2019). Internet interventions for adults with anxiety and mood disorders: A narrative umbrella review of recent meta-analyses. Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie, 64(7), 465–470. https://doi.org/10.1177/0706743719839381
  • Andrews, G., Basu, A., Cuijpers, P., Craske, M. G., McEvoy, P., English, C. L., & Newby, J. M. (2018). Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysis. Journal of Anxiety Disorders, 55, 70–78. https://doi.org/10.1016/j.janxdis.2018.01.001
  • Batterham, P. J., & Calear, A. L. (2017). Preferences for internet-based mental health interventions in an adult online sample: Findings from an online community survey. JMIR Mental Health, 4(2), e26. https://doi.org/10.2196/mental.7722
  • Batterham, P. J., Calear, A. L., Sunderland, M., Kay-Lambkin, F., Farrer, L., Christensen, H., & Gulliver, A. (2021). A brief intervention to increase uptake and adherence of an Internet-based program for depression and anxiety (enhancing engagement with psychosocial interventions): Randomized controlled trial. Journal of Medical Internet Research, 23(7), e23029. https://doi.org/10.2196/23029
  • Batterham, P. J., Sunderland, M., Carragher, N., Calear, A. L., Mackinnon, A. J., & Slade, T. (2016). The Distress Questionnaire-5: Population screener for psychological distress was more accurate than the K6/K10. Journal of Clinical Epidemiology, 71, 35–42. https://doi.org/10.1016/j.jclinepi.2015.10.005
  • Batterham, P. J., Sunderland, M., Slade, T., Calear, A. L., & Carragher, N. (2018). Assessing distress in the community: Psychometric properties and crosswalk comparison of eight measures of psychological distress. Psychological Medicine, 48(8), 1316–1324. https://doi.org/10.1017/S0033291717002835
  • Beatty, L., & Binnion, C. (2016). A systematic review of predictors of, and reasons for, adherence to online psychological interventions. International Journal of Behavioral Medicine, 23(6), 776–794. https://doi.org/10.1007/s12529-016-9556-9
  • Borghouts, J., Eikey, E., Mark, G., De Leon, C., Schueller, S. M., Schneider, M., Stadnick, N., Zheng, K., Mukamel, D., & Sorkin, D. H. (2021). Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review. Journal of Medical Internet Research, 23(3), e24387. https://doi.org/10.2196/24387
  • Calear, A. L., Batterham, P. J., & Christensen, H. (2014). Predictors of help-seeking for suicidal ideation in the community: Risks and opportunities for public suicide prevention campaigns. Psychiatry Research, 219(3), 525–530. https://doi.org/10.1016/j.psychres.2014.06.027
  • Casey, L. M., Wright, M.-A., & Clough, B. A. (2014). Comparison of perceived barriers and treatment preferences associated with internet-based and face-to-face psychological treatment of depression. International Journal of Cyber Behavior, Psychology and Learning, 4(4), 16–22. https://doi.org/10.4018/ijcbpl.2014100102
  • Chan, J. K., Farrer, L. M., Gulliver, A., Bennett, K., & Griffiths, K. M. (2016). University students’ views on the perceived benefits and drawbacks of seeking help for mental health problems on the internet: A qualitative study. JMIR Human Factors, 3(1), e3. https://doi.org/10.2196/humanfactors.4765
  • Crisp, D. A., & Griffiths, K. M. (2014). Participating in online mental health interventions: Who is most likely to sign up and why? Depression Research and Treatment, 2014, 790457. https://doi.org/10.1155/2014/790457
  • Donker, T., Blankers, M., Hedman, E., Ljotsson, B., Petrie, K., & Christensen, H. (2015). Economic evaluations of Internet interventions for mental health: A systematic review. Psychological Medicine, 45(16), 3357–3376. https://doi.org/10.1017/S0033291715001427
  • Ebert, D. D., Berking, M., Cuijpers, P., Lehr, D., Portner, M., & Baumeister, H. (2015). Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial. Journal of Affective Disorders, 176, 9–17. https://doi.org/10.1016/j.jad.2015.01.056
  • Ebert, D. D., Van Daele, T., Nordgreen, T., Karekla, M., Compare, A., Zarbo, C., Brugnera, A., Øverland, S., Trebbi, G., Jensen, K. L., Kaehlke, F., & Baumeister, H. (2018). Internet and mobile-based psychological interventions: Applications, efficacy and potential for improving mental health. A report of the EFPA E-Health Taskforce (vol 23, pg 167, 2018). European Psychologist, 23(2), 167–187. https://doi.org/10.1027/1016-9040/a000318
  • Eccles, H., Nannarone, M., Lashewicz, B., Attridge, M., Marchand, A., Aiken, A., Ho, K., & Wang, J. (2021). Barriers to the use of web-based mental health programs for preventing depression: Qualitative study. JMIR Formative Research, 5(7), e16949. https://doi.org/10.2196/16949
  • Elhai, J. D., Schweinle, W., & Anderson, S. M. (2008). Reliability and validity of the attitudes toward seeking professional psychological help scale-short form. Psychiatry Research, 159(3), 320–329. https://doi.org/10.1016/j.psychres.2007.04.020
  • Fischer, E. H., & Farina, A. (1995). Attitudes toward seeking professional psychological help: A shortened form and considerations for research. Journal of College Student Development, 36(4), 368–373. https://doi.org/10.1002/j.1556-6676.1995.tb01825.x
  • Fleming, T., Bavin, L., Lucassen, M., Stasiak, K., Hopkins, S., & Merry, S. (2018). Beyond the trial: Systematic review of real-world uptake and engagement with digital self-help interventions for depression, low mood, or anxiety. Journal of Medical Internet Research, 20(6), e199. https://doi.org/10.2196/jmir.9275
  • Graham, S., Irving, J., Cano, I., Edwards, M. I. (2018). Participation with online recovery specific groups—Findings from the UK Life in Recovery Survey 2015. Alcoholism Treatment Quarterly, 36(4), 459–481. https://doi.org/10.1080/07347324.2018.1500873
  • Gulliver, A., Calear, A. L., Sunderland, M., Kay-Lambkin, F., Farrer, L. M., Banfield, M., & Batterham, P. J. (2020). Consumer-guided development of an engagement-facilitation intervention for increasing uptake and adherence for self-guided web-based mental health programs: Focus groups and online evaluation survey. JMIR Formative Research, 4(10), e22528. https://doi.org/10.2196/22528
  • Gulliver, A., Calear, A. L., Sunderland, M., Kay-Lambkin, F., Farrer, L. M., & Batterham, P. J. (2021). Predictors of acceptability and engagement in a self-guided online program for depression and anxiety. Internet Interventions, 25, 100400. https://doi.org/10.1016/j.invent.2021.100400
  • Gunn, J., Cameron, J., Densley, K., Davidson, S., Fletcher, S., Palmer, V., Chondros, P., Dowrick, C., & Pirkis, J. (2018). Uptake of mental health websites in primary care: Insights from an Australian longitudinal cohort study of depression. Patient Education and Counseling, 101(1), 105–112. https://doi.org/10.1016/j.pec.2017.07.008
  • Jabs, J., & Devine, C. M. (2006). Time scarcity and food choices: An overview. Appetite, 47(2), 196–204. https://doi.org/10.1016/j.appet.2006.02.014
  • Kannisto, K. A., Korhonen, J., Adams, C. E., Koivunen, M. H., Vahlberg, T., & Valimaki, M. A. (2017). Factors associated with dropout during recruitment and follow-up periods of a mHealth-based randomized controlled trial for Mobile.Net to encourage treatment adherence for people with serious mental health problems. Journal of Medical Internet Research, 19(2), e46. https://doi.org/10.2196/jmir.6417
  • Knittle, K., Nurmi, J., Crutzen, R., Hankonen, N., Beattie, M., & Dombrowski, S. U. (2018). How can interventions increase motivation for physical activity? A systematic review and meta-analysis. Health Psychology Review, 12(3), 211–230. https://doi.org/10.1080/17437199.2018.1435299
  • Kocalevent, R.-D., Hinz, A., & Brähler, E. (2013). Standardization of the depression screener Patient Health Questionnaire (PHQ-9) in the general population. General Hospital Psychiatry, 35(5), 551–555. https://doi.org/10.1016/j.genhosppsych.2013.04.006
  • Kroenke, K., Spitzer, R. L., Williams, J. B., & Lowe, B. (2010). The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: A systematic review. General Hospital Psychiatry, 32(4), 345–359. https://doi.org/10.1016/j.genhosppsych.2010.03.006
  • Lamela, D., Cabral, J., Coelho, S., & Jongenelen, I. (2020). Personal stigma, determinants of intention to use technology, and acceptance of internet-based psychological interventions for depression. International Journal of Medical Informatics, 136, 104076. https://doi.org/10.1016/j.ijmedinf.2020.104076
  • Link, B., Phelan, J. C., Bresnahan, M., Stueve, A., & Pescosolido, B. A. (1999). Public conceptions of mental illness: Labels, causes, dangerousness, and social distance. American Journal of Public Health, 89(9), 1328–1333. https://doi.org/10.2105/ajph.89.9.1328
  • Link, B., Yang, L. H., Phelan, J. C., & Collins, P. Y. (2004). Measuring mental illness stigma. Schizophrenia Bulletin, 30(3), 511–541. https://doi.org/10.1093/oxfordjournals.schbul.a007098
  • Lowe, B., Decker, O., Muller, S., Brahler, E., Schellberg, D., Herzog, W., & Herzberg, P. Y. (2008). Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Medical Care, 46(3), 266–274. https://doi.org/10.1097/MLR.0b013e318160d093
  • Muller-Riemenschneider, F., Reinhold, T., Nocon, M., & Willich, S. N. (2008). Long-term effectiveness of interventions promoting physical activity: A systematic review. Preventive Medicine, 47(4), 354–368. https://doi.org/10.1016/j.ypmed.2008.07.006
  • Musiat, P., Goldstone, P., & Tarrier, N. (2014). Understanding the acceptability of e-mental health – Attitudes and expectations towards computerised self-help treatments for mental health problems. BMC Psychiatry, 14, 109. https://doi.org/10.1186/1471-244X-14-109
  • Pelletier, J. E., & Laska, M. N. (2012). Balancing healthy meals and busy lives: Associations between work, school, and family responsibilities and perceived time constraints among young adults. Journal of Nutrition Education and Behavior, 44(6), 481–489. https://doi.org/10.1016/j.jneb.2012.04.001
  • Rammstedt, B. (2007). The 10-item Big Five Inventory: Norm values and investigation of sociodemographic effects based on a German population representative sample. European Journal of Psychological Assessment, 23(3), 193–201. https://doi.org/10.1027/1015-5759.23.3.193
  • Riper, H., Hoogendoorn, A., Cuijpers, P., Karyotaki, E., Boumparis, N., Mira, A., Andersson, G., Berman, A. H., Bertholet, N., Bischof, G., Blankers, M., Boon, B., Boß, L., Brendryen, H., Cunningham, J., Ebert, D., Hansen, A., Hester, R., Khadjesari, Z., … Smit, J. H. (2018). Effectiveness and treatment moderators of internet interventions for adult problem drinking: An individual patient data meta-analysis of 19 randomised controlled trials. PLOS Medicine, 15(12), e1002714. https://doi.org/10.1371/journal.pmed.1002714
  • Samdal, G. B., Eide, G. E., Barth, T., Williams, G., & Meland, E. (2017). Effective behaviour change techniques for physical activity and healthy eating in overweight and obese adults; systematic review and meta-regression analyses. International Journal of Behavioral Nutrition and Physical Activity, 14(1), 42. https://doi.org/10.1186/s12966-017-0494-y
  • Siminski, P. (2006). The effect of earnings on housework: Pros and cons of HILDA’s time use data items. Paper presented at the ACSPRI Social Science Methodology Conference.
  • Spitzer, R. L., Kroenke, K., Williams, J. B., & Lowe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 1092–1097. https://doi.org/10.1001/archinte.166.10.1092
  • Summerfield, M., Garrard, B., Jin, Y., Kamath, R., Macalalad, N., Watson, N., Wilkins, R. & Wooden, M. (2021). HILDA User Manual – Release 20. Melbourne Institute: Applied Economic and Social Research, University of Melbourne.
  • Torok, M., Han, J., Baker, S., Werner-Seidler, A., Wong, I., Larsen, M. E., & Christensen, H. (2020). Suicide prevention using self-guided digital interventions: A systematic review and meta-analysis of randomised controlled trials. The Lancet. Digital Health, 2(1), E25–E36. https://doi.org/10.1016/S2589-7500(19)30199-2
  • van Ballegooijen, W., Cuijpers, P., van Straten, A., Karyotaki, E., Andersson, G., Smit, J. H., & Riper, H. (2014). Adherence to Internet-based and face-to-face cognitive behavioural therapy for depression: A meta-analysis. PLOS One, 9(7), e100674. https://doi.org/10.1371/journal.pone.0100674
  • Wallin, E. E., Mattsson, S., & Olsson, E. M. (2016). The preference for internet-based psychological interventions by individuals without past or current use of mental health treatment delivered online: A survey study with mixed-methods analysis. JMIR Mental Health, 3(2), e25. https://doi.org/10.2196/mental.5324
  • Wang, J., Lam, R. W., Ho, K., Attridge, M., Lashewicz, B. M., Patten, S. B., Marchand, A., Aiken, A., Schmitz, N., Gundu, S., Rewari, N., Hodgins, D., Bulloch, A., & Merali, Z. (2016). Preferred features of E-mental health programs for prevention of major depression in male workers: Results from a Canadian National Survey. Journal of Medical Internet Research, 18(6), e132. https://doi.org/10.2196/jmir.5685