Web-Based Health Intervention for Young People Who Have a Parent with a Mental Illness: Delphi Study Among Potential Future Users

Matar, Jodie; Maybery, Darryl; McLean, Louise Anne

doi:10.2196/10158

Cited by 14 publications

(13 citation statements)

References 45 publications

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“…The interactive features (eg, expandable text and on-demand definitions) allowed us to provide information to those who want it, while reducing on-screen text for those who feel overwhelmed. This finding is consistent with other research showing preferences for web-based approaches in some populations [ 40 ].…”

Section: Discussionsupporting

confidence: 93%

Communicating With Patients About Software for Enhancing Privacy in Secondary Database Research Involving Record Linkage: Delphi Study

Schmit¹,

Ajayi²,

Ferdinand³

et al. 2020

J Med Internet Res

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Patient Matching is the process of linking records of the same real-world person. Patient matching helps researchers answer difficult questions. For example, is disease treatment A better than treatment B for keeping patients healthy? To do this, we might want to count the number of emergency room visits Jane Doe made this year across several hospitals. This requires linking records from all the hospitals she visited. This is hard because a universal identification number does not exist to easily link records in different systems. Instead, we have to use the personally identifiable information (PII), like social security numbers (SSNs), first & last names, birthdates, race, and gender to decide which records belong to the same person. Still, patient matching is hard. Identifiers are not unique. Different people may share the same name. Names are inconsistent (e.g. nicknames). Data is sometimes missing (e.g. SSNs are often missing). Names change over time (e.g. changing a last name at marriage). Data can have errors (e.g. typos). Let's compare two databases. Which records do you think refer to the same person? This is a Multimedia Appendix to a full manuscript published in the J Med Internet Res. For full copyright and citation information see http://dx.

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Section: Discussionsupporting

confidence: 93%

Communicating With Patients About Software for Enhancing Privacy in Secondary Database Research Involving Record Linkage: Delphi Study

Schmit¹,

Ajayi²,

Ferdinand³

et al. 2020

J Med Internet Res

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“…This need is not only emphasised by practitioners, but by at‐risk youth themselves (Matar, Maybery, McLean, & Reupert, 2018). Boydell et al (2014) conducted a scoping review on children, young people, and young adults and evidence‐based technological interventions in order to identify the breadth of the existing literature base and the gaps present within it.…”

Section: Introductionmentioning

confidence: 99%

Mental health mobile application usage in young adults with a family history of mental illness

Schlage

Perich

2020

Australian Psychologist

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Objective: Young adults with a family history of mental illness are at increased risk of developing mental disorders. The current study aimed to assess how young at-risk individuals use mental health applications (MHAs) in comparison with those not at-risk, and whether these groups differed in the types of MHAs used, how helpful they found MHAs, and their reasons for and against using MHAs. Method: An online survey was conducted where young adults aged 18-30 years (N = 525; 389 female) were asked about their immediate family history of any diagnosis of any mental illness and their use of MHAs. The responses were analysed using chi-square tests of independence. Results: Young adults with a family history of mental illness (N = 271) were more likely to report using MHAs and more likely to use MHAs for mental wellbeing than those who did not have a family history of mental illness. They were also more likely not to use MHAs if they were not useful or did not want to use them. Individuals who identified as "other" genders were also more likely to use MHAs while males were less likely to use MHAs. Conclusions: MHAs may be a viable avenue to engage at-risk individuals in targeted treatment and suggests the need to develop apps tailored to this population. It is recommended that future research explores the efficacy of MHAs in reducing psychiatric symptomatology in the at-risk population, and how apps may be used by clinicians most effectively as part of treatment. K E Y W O R D S at-risk, family history, mental health, mobile app, mobile technology 1 | INTRODUCTION Young adults with a family history of mental illness may be particularly vulnerable to mental illness, being more likely to develop a mental health condition due to increased genetic vulnerability and environmental factors, and being less likely to receive treatment or support (Bandelow et al.

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“…Emerging adulthood is perhaps the first time when individuals can formulate a “new and ideally integrative understanding of one's life story” and integrate “different personifications of the self within a single self-defining life story” (43). Thus, young adults may be actively involved in the communicative sense-making processes in coming to terms with their parent's illness or substance use and can articulate and share their life experiences with others (35), and if given the opportunity, with their peers (44).…”

Section: Mechanisms Of Risk Related To Mental Health Among Young Adultsmentioning

confidence: 99%

“…When asked about their preferred supports, adolescents aged 13–17 years and living in families where a parent has a mental illness or substance use problem, reported a clear preference for online supports (41). Extending that study, Matar et al (44) employed a Delphi study with 282 young adults aged 16–21 years and whose parents had a mental illness and/or substance use problem and asked them what they wanted from an online intervention. Online opportunities to share with other young adults living in similar families was a common request as were topics on psycho-education, managing the parent-child relationship, and strategies to build resilience, and improve mental health, wellbeing, and coping.…”

Section: Available Interventions and Service Gapsmentioning

confidence: 99%

“…In terms of research , the intervention drew on previous work that identified the ingredients commonly associated with effective interventions for this target group (48). Previous research that sought the views of young adults whose parents have mental illness and/or substance use problems regarding support in general (41), and online interventions in particular (44), were incorporated. Evidence on online behaviour change interventions was used to inform online functionality, especially those designed for adolescents and young adults (53).…”

Section: Mispot: Developing An Online Approachmentioning

confidence: 99%

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An Online Intervention to Promote Mental Health and Wellbeing for Young Adults Whose Parents Have Mental Illness and/or Substance Use Problems: Theoretical Basis and Intervention Description

Bartholomew

Cuff²,

Foster

et al. 2019

Front. Psychiatry

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The transition to adulthood can be a vulnerable period for certain population groups. In particular, young adults aged 18–25 years who have a parent with mental illness and/or substance use problems face increased risks to their mental health compared to same aged peers. Yet these young adults may not have access to age-appropriate, targeted interventions, nor engage with traditional face-to-face health services. To support this vulnerable group, services need to engage with them in environments where they are likely to seek help, such as the Internet. This paper describes the risk mechanisms for this group of young adults, and the theoretical and empirical basis, aims, features and content of a tailored online group intervention; mi.spot ( m ental i llness: s upportive, p reventative, o nline, t argeted). The participatory approach employed to design the intervention is described. This involved working collaboratively with stakeholders (i.e., young adults, clinicians, researchers and website developers). Implementation considerations and future research priorities for an online approach targeting this group of young adults conclude the paper.

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Web-Based Health Intervention for Young People Who Have a Parent with a Mental Illness: Delphi Study Among Potential Future Users

Cited by 14 publications

References 45 publications

Communicating With Patients About Software for Enhancing Privacy in Secondary Database Research Involving Record Linkage: Delphi Study

Communicating With Patients About Software for Enhancing Privacy in Secondary Database Research Involving Record Linkage: Delphi Study

Mental health mobile application usage in young adults with a family history of mental illness

An Online Intervention to Promote Mental Health and Wellbeing for Young Adults Whose Parents Have Mental Illness and/or Substance Use Problems: Theoretical Basis and Intervention Description

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