Virtual World Café Method for Identifying Mental Health Research Priorities
Methodological Case Study
Dados Bibliográficos
| ID | 15475656 |
|---|---|
| Autores | Melanie Banfield (0000-0002-3024-1687, Australian National University, autor correspondente), Aidan Gulliver (0000-0001-6351-9844, Australian National University), Alyssa R Morse (0000-0001-6948-1082, Australian National University) |
| Ano | 2021 |
| Volume | 19 |
| Fascículo | 1 |
| Páginas | 291-291 |
| Data de publicação | 2021-12-28 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editora | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph19010291 |
| PMID | 35010550 |
| OpenAlex | W4200168270 |
| Idioma | EN |
| Citações recebidas | 9 |
| Referências citadas | 21 |
People with lived experience of mental health problems as both consumers and carers can bring significant expertise to the research process. However, the methods used to gather this information and their subsequent results can vary markedly. This paper describes the methods for two virtual World Cafés held to gather data on consumer and carer priorities for mental health research. Several methodological processes and challenges arose during data collection, including the achieved recruitment for each group ( n = 4, n = 7) falling significantly short of the target number of 20 participants per group. This led to departures from planned methods (i.e., the use of a single 'room', rather than multiple breakout rooms). Despite this, the participants in the virtual World Cafés were able to generate over 200 ideas for research priorities, but not identify agreed-upon priorities. Virtual World Cafés can quickly generate a significant volume of data; however, they may not be as effective at generating consensus
Breakout · Business · Data collection · Data science · Mental health · Process (computing · Psychiatry · Social science · Sociology · Applied Psychology · Computer Science · Digital Mental Health Interventions · Mental Health and Patient Involvement · Participatory Visual Research Methods · Psychology
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| Obras citantes distintas | 9 |
|---|---|
| Citações por ano | 2,25 |
| Intervalo de citações | 2022 - 2025 (4) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 9 |