This paper is in the following e-collection/theme issue:

Human Factors and Usability Case Studies (739) Design and Usability of Clinical Software and EHRs (242)

Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11346, first published .
Investigating Software Requirements for Systems Supporting Task-Shifted Interventions: Usability Study

Investigating Software Requirements for Systems Supporting Task-Shifted Interventions: Usability Study

Investigating Software Requirements for Systems Supporting Task-Shifted Interventions: Usability Study

Authors of this article:

Pepijn Van de Ven1 Author Orcid Image ;   Ricardo Araya2 Author Orcid Image ;   Maria Clara P de Paula Couto3 Author Orcid Image ;   Maiara Garcia Henrique4 Author Orcid Image ;   Damien Meere5 Author Orcid Image ;   Ana Vilela Mendes4 Author Orcid Image ;   Tim J Peters6 Author Orcid Image ;   Antônio Seabra4 Author Orcid Image ;   Renato M Franzin4 Author Orcid Image ;   Paula Carvalho Pereda4 Author Orcid Image ;   Marcia Scazufca4 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Scazufca M, Nakamura C, Peters T, Henrique M, Seabra A, La Rotta E, Franzin R, Martins D, Van de Ven P, Hollingworth W, Araya R. A collaborative care psychosocial intervention to improve late life depression in socioeconomically deprived areas of Guarulhos, Brazil: the PROACTIVE cluster randomised controlled trial protocol. Trials 2020;21(1) View
  2. Henrique M, de Paula Couto M, Araya R, Mendes A, Nakamura C, Hollingworth W, van de Ven P, Peters T, Scazufca M. Acceptability and fidelity of a psychosocial intervention (PROACTIVE) for older adults with depression in a basic health unit in São Paulo, Brazil: a qualitative study. BMC Public Health 2021;21(1) View
  3. Nakamura C, Scazufca M, Moretti F, Didone T, de Sá Martins M, Pereira L, de Souza C, de Oliveira G, da Costa M, Machado M, da Silva Bitencourt E, dos Santos M, Murdoch J, van de Ven P, Seward N, Hollingworth W, Peters T, Araya R. Digital psychosocial intervention for depression among older adults in socioeconomically deprived areas in Brazil (PRODIGITAL-D): protocol for an individually randomised controlled trial. Trials 2022;23(1) View
  4. Glavin D, Maekawa E, Grua E, Nakamura C, Scazufca M, Araya R, Peters T, Hollingworth W, van de Ven P. Other PHQ-9 item pairings are better than the PHQ-2: A Machine Learning analysis. Procedia Computer Science 2022;206:101 View
  5. Eduardo M, Darragh G, Eoin Martino G, Carina Akemi N, Marcia S, Ricardo A, J P, Pepijn v. A Machine Learning approach to optimize the assessment of depressive symptomatology. Procedia Computer Science 2022;206:111 View
  6. Scazufca M, Nakamura C, Seward N, Moreno-Agostino D, van de Ven P, Hollingworth W, Peters T, Araya R. A task-shared, collaborative care psychosocial intervention for improving depressive symptomatology among older adults in a socioeconomically deprived area of Brazil (PROACTIVE): a pragmatic, two-arm, parallel-group, cluster-randomised controlled trial. The Lancet Healthy Longevity 2022;3(10):e690 View
  7. Glavin D, Grua E, Nakamura C, Scazufca M, Ribeiro dos Santos E, Wong G, Hollingworth W, Peters T, Araya R, Van de Ven P. Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis. JMIR Mental Health 2023;10:e48444 View
  8. Maekawa E, Grua E, Nakamura C, Scazufca M, Araya R, Peters T, van de Ven P. Bayesian networks for feature selection and patient pre-screening for depressive symptomatology: a prototype (Preprint). JMIR Mental Health 2023 View
  9. de Paula Couto M, Rothermund K, Nakamura C, Seward N, van de Ven P, Hollingworth W, Peters T, Araya R, Scazufca M. ‘Does it matter how old I feel?’ The role of subjective age in a psychosocial intervention for improving depressive symptomatology among older adults in Brazil (PROACTIVE). Aging & Mental Health 2024:1 View