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Novel digital methods for gathering intensive time series data in mental health research: scoping review of a rapidly evolving field.
Schick, Anita; Rauschenberg, Christian; Ader, Leonie; Daemen, Maud; Wieland, Lena M; Paetzold, Isabell; Postma, Mary Rose; Schulte-Strathaus, Julia C C; Reininghaus, Ulrich.
Afiliação
  • Schick A; Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
  • Rauschenberg C; Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
  • Ader L; Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
  • Daemen M; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Wieland LM; Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
  • Paetzold I; Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
  • Postma MR; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
  • Schulte-Strathaus JCC; Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
  • Reininghaus U; Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany.
Psychol Med ; 53(1): 55-65, 2023 01.
Article em En | MEDLINE | ID: mdl-36377538
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Mental Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Psychol Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saúde Mental Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Psychol Med Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha