Nonuse and Dropout Attrition for a Web-Based Mental Health Intervention Delivered in a Post-Disaster Context
Open accessAbstract
Web-based mental health interventions are an excellent means to provide low cost, easily accessible care to disaster-affected populations shortly after exposure to an event. However, the extent that individuals will access and use such interventions is largely unknown. We examined predictors of nonuse and dropout attrition for a web-based mental health intervention in 1,249 randomly selected adults in two Texas counties--Galveston and Chambers--that were hardest hit by Hurricane Ike in 2008. Participants completed a structured telephone interview to assess demographics, impact of disaster exposure, history of traumatic events, mental health symptoms, and service utilization. Following the interview, participants were oriented and invited to access a web-based intervention and then contacted four months later to evaluate their use of the website and mental health functioning. Separate logistic and Poisson regressions were used to determine baseline predictors of nonuse attrition, predictors of dropout attrition, and predictors of completing intervention modules. Results suggested that the strongest buffer against nonuse attrition and dropout attrition was having considered seeking formal mental health treatment. Results of this study inform the development and dissemination of web-based interventions in future disaster affected areas.
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Price et al. found that previous experience of considering or using online mental health resources buffered against attrition, which may have been an unmeasured factor in this study.
“Price et al. investigated reasons for early dropout and found that previous experience of considering/using online mental health resources buffered against attrition – this may have been an (unmeasured) factor contributing to variable engagement in the current study.”
From ACTing towards better living during COVID-19: The effects of Acceptance and Commitment therapy for individuals affected by COVID-19 (2022) · cites this paper as Price et al. (2012)
The Discussion (page not provided) says that previously considering mental health treatment and using the Internet for health-related information were associated with reduced nonuse attrition. It also links online health or mental-health information use to reduced access or completion attrition. The paper does not say participants had previously considered using *online* mental-health resources; that combines two distinct predictors. The possibility that this was an unmeasured factor in the citing authors’ study is their own inference. (LLM, conf=0.85)
Experimental — accuracy not yet measuredAttrition rates are similar to those seen in a similar study.
“Attrition rates are similar to those seen a similar study (Price et al., 2012).”
From ACTing towards better living during COVID-19: The effects of Acceptance and Commitment therapy for individuals affected by COVID-19 (2022) · cites this paper as Price et al., 2012
The observed pattern of early dropout is like that in Price et al. (2012).
“The observed pattern of early dropout (including non-usage [i.e., pre-intervention] attrition) is like that observed by Price et al. (2012) in their (contextually comparable) study of a web-based intervention for post-disaster mental health.”
From ACTing towards better living during COVID-19: The effects of Acceptance and Commitment therapy for individuals affected by COVID-19 (2022) · cites this paper as Price et al. (2012)
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- Authors
- Price, M., Gros, D. F., McCauley, J. L., Gros, K. S., & Ruggiero, K. J.
- Affiliations
- Medical University of South Carolina (US)
- Venue
- Psychiatry: Interpersonal and Biological Processes
- Publisher
- Guilford Publications
- Published
- 2012-09
- Volume
- 75
- Issue
- 3
- Pages
- 267-284
- ISSN
- 0033-2747 (ISSN-L)
- PMC
- PMC3696953
- OpenAlex
- W2142714106
- Cited by
- 49
- References
- 63
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 5 · 2022: 1 · 2021: 6 · 2020: 1 · 2019: 4 · 2018: 6 · 2017: 4 · 2016: 4 · 2015: 3 · 2014: 4 · 2013: 5
- FWCI
- 5.42
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (P60MH082598, R34 MH77149, R01MH081056, R34MH077149, T32MH018869)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Keywords
- disaster mental health, Hurricane Ike, disaster-affected populations, help-seeking intentions, service utilization, access to mental health care, Galveston
- MeSH terms
- Adult, Data Collection, Depression, Disasters, Female, Humans, Male, Mental Health Services, Middle Aged, Patient Acceptance of Health Care, Patient Dropouts, Stress Disorders, Post-Traumatic, Texas, Therapy, Computer-Assisted, Logistic Models, Randomized Controlled Trials as Topic, Internet, Cyclonic Storms
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