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1.
JMIR Ment Health ; 9(11): e39079, 2022 11 23.
Artigo em Inglês | MEDLINE | ID: mdl-36416884

RESUMO

BACKGROUND: Adolescence is a phase of higher vulnerability for suicidal behavior. In Germany, almost 500 adolescents and young adults aged 15-25 years commit suicide each year. Youths in rural areas are characterized by a higher likelihood of poorer mental health. In rural areas, appropriate support for adolescents and young adults in mental health crises is difficult to access. The general acceptability of digital communication in youths can make the provision of an eHealth tool a promising strategy. OBJECTIVE: The aim of this study was to explore the health needs regarding suicide prevention for adolescents and young adults in rural areas of Germany and Switzerland and to identify characteristics of suitable e-mental health interventions. METHODS: This study reports on a qualitative secondary analysis of archived data, which had been collected through formative participatory research. Using 32 semistructured interviews (individually or in groups of 2) with 13 adolescents and young adults (aged 18-25 years) and 23 experts from relevant fields, we applied a deductive-inductive methodological approach and used qualitative content analyses according to Kuckartz (2016). RESULTS: Experts as well as adolescents and young adults have reported health needs in digital suicide prevention. The health needs for rural adolescents and young adults in crises were characterized by several categories. First, the need for suicide prevention in general was highlighted. Additionally, the need for a peer concept and web-based suicide prevention were stressed. The factors influencing the acceptability of a peer-driven, web-based support were related to low-threshold access, lifelike intervention, anonymity, and trustworthiness. CONCLUSIONS: The results suggest a need for suicide prevention services for adolescents and young adults in this rural setting. Peer-driven and web-based suicide prevention services may add an important element of support during crises. By establishing such a service, an improvement in mental health support and well-being could be enabled. These services should be developed with the participation of the target group, taking anonymity, trustworthiness, and low-threshold access into account.

2.
Artigo em Inglês | MEDLINE | ID: mdl-32686628

RESUMO

OBJECTIVES: Mixed home care, in which informal and professional actors work closely together, contributes significantly to ensuring home care up to old age. In this context, collaboration applications can considerably enhance the interactions among caregivers. However, although much research is conducted on need and requirement analyses of such applications, little is known about their introduction and use in care models. The purpose of this contribution is to identify studies that evaluate collaboration applications for mixed home care and compare their outcomes. METHODS: To identify literature on mixed home care collaboration applications (mHCA) and their evaluation, a systematic literature review was conducted in five bibliographic databases covering the years 2008 through 2019. The results were supplemented by a search in the meta-database Google Scholar. The evaluation approaches of the studies were analyzed and results compared by using the NASSS framework. Finally, a context concretized model was derived which summarizes interrelations. RESULTS: Twelve qualitative studies evaluating eleven applications could be identified. They report on increased competency in self-management, psychological relatedness, involvement, and understanding. However, most studies conclude that large scale platform tests are still needed to prove significant changes in care processes, communication, or organization. CONCLUSION: Among other things, their implementation is rather difficult due to the specifics of the target group. To enable a more targeted and successful implementation, it might be helpful to classify care networks beforehand and assess their communication behavior and needs. To prove the added value of mHCAs standardized assessment tools should be used.

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