The Short- and Long-Term Psychological Impact of Disasters: Implications for Mental Health Interventions and Policy

2013 ◽  
pp. 83-102
2018 ◽  
Vol 34 (S1) ◽  
pp. 95-96
Author(s):  
Alastair Canaway ◽  
Christopher Sampson ◽  
Rachel Meacock

Introduction:Interventions and services for people with mental health problems can have broad remits: they are often designed to treat people with a variety of diagnoses. Furthermore, addressing mental health problems can have long-term implications for economic, social, and health outcomes. This represents a challenge for health technology assessment, for which long-term trial data can be lacking. In this review, we sought to identify how analysts have tackled this problem. We reviewed the methods used to extrapolate costs and outcomes for the purpose of economic evaluation where long-term trial data are not available.Methods:We conducted a systematic review of the medical and economic literature evaluating long-term costs and outcomes for mental health interventions and services designed to treat or prevent more than two mental health conditions. We searched key databases including MEDLINE, Embase, PsycINFO, CINAHL, and EconLit. Two authors independently screened citations. Articles were excluded if they reported within-trial analyses or employed a time horizon of less than 5 years.Results:The search identified 829 unique records. No papers could be included in the review.Conclusions:This review highlights the lack of research and understanding available to inform the appraisal of broad mental health interventions. In light of our findings, we consider the reasons for this lack of information and review relevant literature on the subject. Potential barriers to research in this context include: (i) challenges in understanding the value of broad mental health services, such as the mental and physical health nexus, intersectoral costs and benefits, and interpersonal impacts, (ii) methodological difficulties, such as data availability, patient heterogeneity, and the challenge of extrapolation, and (iii) parity of esteem. We make recommendations for resolving this problem with regard to funding, data collection, modelling methods, and outcome measurement.


2019 ◽  
Author(s):  
Amelia Gulliver ◽  
Alison L Calear ◽  
Matthew Sunderland ◽  
Frances Kay-Lambkin ◽  
Louise M Farrer ◽  
...  

BACKGROUND Self-guided online mental health programs are effective in treating and preventing mental health problems. However, both the uptake and engagement with these programs in the community is suboptimal, and there is limited current evidence indicating how to increase the use of existing evidence-based programs. OBJECTIVE The current study aims to investigate the views of people with lived experience of depression and anxiety on the barriers and facilitators to using e-mental health interventions and to use these perspectives to help develop an engagement-facilitation intervention (EFI) to increase uptake and engagement with self-guided online mental health programs. METHODS A total of 24 community members (female = 21; male = 3) with lived experience of depression and/or anxiety participated in four focus groups that discussed: 1) barriers and facilitators to self-guided e-mental health programs, 2) specific details needed to help them decide to use an online program, and 3) the appearance, delivery mode, and functionality of content for the proposed EFI. A total of 14 of the focus group attendees participated in a subsequent follow-up survey to evaluate the resultant draft EFI. Data were thematically analysed using both inductive and deductive methods. RESULTS Participants suggested that the critical component of an EFI was information that would challenge personal barriers to engagement with psychosocial interventions. These were providing personalised feedback about symptoms, information about the content and effectiveness of the e-mental health program, normalisation of participation in e-mental health programs including testimonials, and brief information on data security. Reminders, rewards, feedback about their progress, and coaching were all mentioned as being useful in assisting people to continue to engage with a program once they had started. Feedback on the developed EFI was positive; with participants reporting satisfaction with the content of the EFI and that it would likely positively affect their use of an e-mental health program. CONCLUSIONS EFIs have the potential to improve the uptake of e-mental health programs in the community and should focus on providing information on the content and effectiveness of e-mental health programs, as well as normalising their use. There is strong value in involving people with a lived experience in the design and development of EFIs to maximise their effectiveness.


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