Monitoring Australian parents’ shifting receptiveness to digital mental health interventions during the COVID-19 pandemic

Andersen, RM (1995) Revisiting the behavioral model and access to medical care: Does it matter? Journal of Health and Social Behavior 36: 1–10.
Google Scholar | Crossref | Medline | ISI Andersson, G (2016) Internet-delivered psychological treatments. Annual Review of Clinical Psychology 12: 157–179.
Google Scholar | Crossref | Medline Andersson, G, Titov, N, Dear, BF, et al (2019) Internet-delivered psychological treatments: From innovation to implementation. World Psychiatry 18: 20–28.
Google Scholar | Crossref | Medline Apolinário-Hagen, J, Harrer, M, Kählke, F, et al (2018) Public attitudes toward guided internet-based therapies: Web-based survey study. JMIR Mental Health 5: e10735.
Google Scholar | Crossref | Medline Apolinário-Hagen, J, Kemper, J, Stürmer, C (2017a) Public acceptability of e-mental health treatment services for psychological problems: A scoping review. JMIR Mental Health 4: e10.
Google Scholar | Crossref Apolinário-Hagen, J, Vehreschild, V, Alkoudmani, RM (2017b) Current views and perspectives on e-mental health: An exploratory survey study for understanding public attitudes toward internet-based psychotherapy in Germany. JMIR Mental Health 4: e8.
Google Scholar | Crossref Batterham, PJ, Calear, AL (2017) Preferences for internet-based mental health interventions in an adult online sample: Findings from an online community survey. JMIR Mental Health 4: e26.
Google Scholar | Crossref Bigne, E, Ruiz, C, Sanz, S (2005) The impact of internet user shopping patterns and demographics on consumer mobile buying behaviour. Journal of Electronic Commerce Research 6: 193.
Google Scholar Crawford, J, Cayley, C, Lovibond, PF, et al (2011) Percentile norms and accompanying interval estimates from an Australian general adult population sample for self-report mood scales (BAI, BDI, CRSD, CES-D, DASS, DASS-21, STAI-X, STAI-Y, SRDS, and SRAS). Australian Psychologist 46: 3–14.
Google Scholar | Crossref | ISI De Veer, AJ, Peeters, JM, Brabers, AE, et al (2015) Determinants of the intention to use e-Health by community dwelling older people. BMC Health Services Research 15: 1–9.
Google Scholar | Crossref | Medline Deloitte Access Economics (2019) Mobile Nation 2019: The 5G Future. Sydney, NSW, Australia: Australian Mobile Telecommunications Association. Available at: www2.deloitte.com/content/dam/Deloitte/au/Documents/Economics/deloitte-au-economics-mobile-nation-2019-080419.pdf (accessed May 2021).
Google Scholar Fisher, JR, Tran, TD, Hammarberg, K, et al. (2020) Mental health of people in Australia in the first month of COVID-19 restrictions: A national survey. Medical journal of Australia 213: 458–464.
Google Scholar | Crossref | Medline Gulliver, A, Griffiths, KM, Christensen, H (2010) Perceived barriers and facilitators to mental health help-seeking in young people: A systematic review. BMC Psychiatry 10: 1–9.
Google Scholar | Crossref | Medline | ISI Gunasekeran, DV, Tham, Y-C, Ting, DS, et al (2021) Digital health during COVID-19: Lessons from operationalising new models of care in ophthalmology. The Lancet Digital Health 3: e124–e134.
Google Scholar | Crossref | Medline Handley, T, Perkins, D, Kay-Lambkin, F, et al (2015) Familiarity with and intentions to use Internet-delivered mental health treatments among older rural adults. Aging & Mental Health 19: 989–996.
Google Scholar | Crossref | Medline Iorfino, F, Cross, SP, Davenport, T, et al (2019) A digital platform designed for youth mental health services to deliver personalized and measurement-based care. Frontiers in Psychiatry 10: 595.
Google Scholar | Crossref | Medline Jake-Schoffman, DE, Silfee, VJ, Waring, ME, et al (2017) Methods for evaluating the content, usability, and efficacy of commercial mobile health apps. JMIR Mhealth and Uhealth 5: e190.
Google Scholar | Crossref | Medline Jung, H, von Sternberg, K, Davis, K (2017) The impact of mental health literacy, stigma, and social support on attitudes toward mental health help-seeking. International Journal of Mental Health Promotion 19: 252–267.
Google Scholar | Crossref Kazdin, AE (2017) Addressing the treatment gap: A key challenge for extending evidence-based psychosocial interventions. Behaviour Research and Therapy 88: 7–18.
Google Scholar | Crossref | Medline Kazdin, AE, Blase, SL (2011) Rebooting psychotherapy research and practice to reduce the burden of mental illness. Perspectives on Psychological Science 6: 21–37.
Google Scholar | SAGE Journals | ISI Khoury, JE, Atkinson, L, Bennett, T, et al (2021) COVID-19 and mental health during pregnancy: The importance of cognitive appraisal and social support. Journal of Affective Disorders 282: 1161–1169.
Google Scholar | Crossref | Medline Li, H, Kuo, C, Rusell, MG (1999) The impact of perceived channel utilities, shopping orientations, and demographics on the consumer’s online buying behavior. Journal of Computer-mediated Communication 5: 521.
Google Scholar Linardon, J, Fuller-Tyszkiewicz, M (2020) Attrition and adherence in smartphone-delivered interventions for mental health problems: A systematic and meta-analytic review. Journal of Consulting and Clinical Psychology 88: 1–13.
Google Scholar | Crossref | Medline Linardon, J, Cuijpers, P, Carlbring, P, et al (2019) The efficacy of app-supported smartphone interventions for mental health problems: A meta-analysis of randomized controlled trials. World Psychiatry 18: 325–336.
Google Scholar | Crossref | Medline Linardon, J, Messer, M, Lee, S, et al (2020a) Perspectives of e-health interventions for treating and preventing eating disorders: Descriptive study of perceived advantages and barriers, help-seeking intentions, and preferred functionality. Eating and Weight Disorders 26: 1097–1109.
Google Scholar | Crossref | Medline Linardon, J, Shatte, A, Tepper, H, et al (2020b) A survey study of attitudes toward, and preferences for, e-therapy interventions for eating disorder psychopathology. International Journal of Eating Disorders 53: 907–916.
Google Scholar | Crossref | Medline Lovibond, PF, Lovibond, SH (1995) The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour research and therapy 33: 335–343.
Google Scholar | Crossref | Medline | ISI Lynch, L, Long, M, Moorhead, A (2018) Young men, help-seeking, and mental health services: Exploring barriers and solutions. American Journal of Men’s Health 12: 138–149.
Google Scholar | SAGE Journals | ISI Newby, JM, O’Moore, K, Tang, S, et al. (2020) Acute mental health responses during the COVID-19 pandemic in Australia. PLoS One 15: e0236562.
Google Scholar | Crossref Nikolaidis, A, Paksarian, D, Alexander, L, et al. (2021) The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic. Scientific Reports 11: 1–13.
Google Scholar | Crossref | Medline Patel, V, Saxena, S, Lund, C, et al (2018) The Lancet Commission on global mental health and sustainable development. The Lancet 392: 1553–1598.
Google Scholar | Crossref | Medline Planey, AM, Smith, SM, Moore, S, et al (2019) Barriers and facilitators to mental health help-seeking among African American youth and their families: A systematic review study. Children and Youth Services Review 101: 190–200.
Google Scholar | Crossref Rees, SN, Crowe, M, Harris, S (2020) The lesbian, gay, bisexual and transgender communities’ mental health care needs and experiences of mental health services: An integrative review of qualitative studies. Journal of Psychiatric and Mental Health Nursing 28: 578–589.
Google Scholar | Crossref | Medline Rowe, SC, Davenport, TA, Easton, MA, et al (2020) Co-designing the InnoWell Platform to deliver the right mental health care first time to regional youth. Australian Journal of Rural Health 28: 190–194.
Google Scholar | Crossref | Medline Russell, D, Peplau, LA, Cutrona, CE (1980) The revised UCLA Loneliness Scale: Concurrent and discriminant validity evidence. Journal of personality and social psychology 39: 472.
Google Scholar | Crossref | Medline | ISI Sharp, C, Goodyer, IM, Croudace, TJ (2006) The Short Mood and Feelings Questionnaire (SMFQ): A unidimensional item response theory and categorical data factor analysis of self-report ratings from a community sample of 7-through 11-year-old children. Journal of abnormal child psychology 34: 365–377.
Google Scholar | Crossref Stallard, P, Velleman, S, Richardson, T (2010) Computer use and attitudes towards computerised therapy amongst young people and parents attending child and adolescent mental health services. Child and Adolescent Mental Health 15: 80–84.
Google Scholar | Crossref | Medline Sweeney, GM, Donovan, CL, March, S, et al (2015) Logging into therapy: Parent attitudes and intentions to use computer-based therapies for youth mental health. Internet Interventions 2: 437–445.
Google Scholar | Crossref Teague, S, Youssef, GJ, Macdonald, JA, et al (2018) Retention strategies in longitudinal cohort studies: A systematic review and meta-analysis. BMC Medical Research Methodology 18: 1–22.
Google Scholar | Crossref | Medline Tighe, J, Shand, F, Ridani, R, et al (2017) Ibobbly mobile health intervention for suicide prevention in Australian Indigenous youth: A pilot randomised controlled trial. BMJ Open 7: e013518.
Google Scholar | Crossref | Medline Torous, J, Bucci, S, Bell, IH, et al (2021) The growing field of digital psychiatry: Current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry 20: 318–335.
Google Scholar | Crossref | Medline Torous, J, Myrick, KJ, Rauseo-Ricupero, N, et al (2020) Digital mental health and COVID-19: using technology today to accelerate the curve on access and quality tomorrow. JMIR Mental Health 7: e18848.
Google Scholar | Crossref Torous, J, Nicholas, J, Larsen, ME, et al (2018) Clinical review of user engagement with mental health smartphone apps: Evidence, theory and improvements. Evidence-Based Mental Health 21: 116–119.
Google Scholar | Crossref | Medline Torous, J, Staples, P, Onnela, J-P (2015) Realizing the potential of mobile mental health: New methods for new data in psychiatry. Current Psychiatry Reports 17: 61.
Google Scholar | Crossref Venkatesh, V, Thong, JY, Xu, X (2016) Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems 17: 328–376.
Google Scholar | Crossref Westrupp, E, Bennett, C, Berkowitz, TS, et al (2020a) Child, parent, and family mental health and functioning in Australia during COVID-19: Comparison to pre-pandemic data. European Child & Adolescent Psychiatry 21: 1–14.
Google Scholar Westrupp, E, Karantzas, G, Macdonald, JA, et al (2020b) Study protocol for the COVID-19 pandemic adjustment survey (CPAS): A longitudinal study of Australian parents of a child 0–18 years. Frontiers in Psychiatry 11: 555750.
Google Scholar | Crossref | Medline Westrupp, EM, Stokes, MA, Fuller-Tyszkiewicz, M, et al. (2021) Subjective wellbeing in parents during the COVID-19 pandemic in Australia. Journal of Psychosomatic Research 145: 110482.
Google Scholar | Crossref | Medline Yu, H, Li, M, Li, Z, et al (2020) Coping style, social support and psychological distress in the general Chinese population in the early stages of the COVID-19 epidemic. BMC Psychiatry 20: 1–11.
Google Scholar | Crossref | Medline Zubrick, SR, Lucas, N, Westrupp, EM, et al. (2014) Parenting measures in the Longitudinal Study of Australian Children: Construct validity and measurement quality, Waves 1 to 4. LSAC technical paper, 12, 1–110.
Google Scholar

Comments (0)

No login
gif