PMID- 32321060
OWN - NLM
STAT- MEDLINE
DCOM- 20201127
LR  - 20231112
IS  - 1809-452X (Electronic)
IS  - 1516-4446 (Print)
IS  - 1516-4446 (Linking)
VI  - 42
IP  - 6
DP  - 2020 Nov-Dec
TI  - Lowering costs for large-scale screening in psychosis: a systematic review and 
      meta-analysis of performance and value of information for speech-based 
      psychiatric evaluation.
PG  - 673-686
LID - 10.1590/1516-4446-2019-0722 [doi]
AB  - OBJECTIVE: Obstacles for computational tools in psychiatry include gathering 
      robust evidence and keeping implementation costs reasonable. We report a 
      systematic review of automated speech evaluation for the psychosis spectrum and 
      analyze the value of information for a screening program in a healthcare system 
      with a limited number of psychiatrists (Maputo, Mozambique). METHODS: Original 
      studies on speech analysis for forecasting of conversion in individuals at 
      clinical high risk (CHR) for psychosis, diagnosis of manifested psychotic 
      disorder, and first-episode psychosis (FEP) were included in this review. Studies 
      addressing non-verbal components of speech (e.g., pitch, tone) were excluded. 
      RESULTS: Of 168 works identified, 28 original studies were included. Valuable 
      speech features included direct measures (e.g., relative word counting) and 
      mathematical embeddings (e.g.: word-to-vector, graphs). Accuracy estimates 
      reported for schizophrenia diagnosis and CHR conversion ranged from 71 to 100% 
      across studies. Studies used structured interviews, directed tasks, or prompted 
      free speech. Directed-task protocols were faster while seemingly maintaining 
      performance. The expected value of perfect information is USD 9.34 million. 
      Imperfect tests would nevertheless yield high value. CONCLUSION: Accuracy for 
      screening and diagnosis was high. Larger studies are needed to enhance precision 
      of classificatory estimates. Automated analysis presents itself as a feasible, 
      low-cost method which should be especially useful for regions in which the 
      physician pool is insufficient to meet demand.
FAU - Argolo, Felipe
AU  - Argolo F
AUID- ORCID: 0000-0001-5686-8712
AD  - Universidade Federal de Sao Paulo, Sao Paulo, SP, Brazil.
AD  - King's College London, London, UK.
FAU - Magnavita, Guilherme
AU  - Magnavita G
AD  - Universidade de Sao Paulo (USP), Sao Paulo, SP, Brazil.
FAU - Mota, Natalia Bezerra
AU  - Mota NB
AD  - Brain Institute, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
AD  - Departamento de Fisica, Universidade Federal de Pernambuco (UFPE), Recife, PE, 
      Brazil.
FAU - Ziebold, Carolina
AU  - Ziebold C
AD  - Universidade Federal de Sao Paulo, Sao Paulo, SP, Brazil.
FAU - Mabunda, Dirceu
AU  - Mabunda D
AUID- ORCID: 0000-0001-7693-9071
AD  - Faculdade de Medicina, Universidade Eduardo Mondlane, Maputo, Mozambique.
FAU - Pan, Pedro M
AU  - Pan PM
AD  - Universidade Federal de Sao Paulo, Sao Paulo, SP, Brazil.
FAU - Zugman, Andre
AU  - Zugman A
AD  - National Institute of Mental Health (NIMH), Bethesda, MD, USA.
FAU - Gadelha, Ary
AU  - Gadelha A
AD  - Universidade Federal de Sao Paulo, Sao Paulo, SP, Brazil.
FAU - Corcoran, Cheryl
AU  - Corcoran C
AD  - Icahn School of Medicine at Mount Sinai, New York, NY, USA.
AD  - Mental Illness Research, Education and Clinical Center (MIRECC VISN2), New York, 
      NY, USA.
FAU - Bressan, Rodrigo A
AU  - Bressan RA
AD  - Universidade Federal de Sao Paulo, Sao Paulo, SP, Brazil.
AD  - King's College London, London, UK.
LA  - eng
PT  - Journal Article
PT  - Meta-Analysis
PT  - Systematic Review
PL  - Brazil
TA  - Braz J Psychiatry
JT  - Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)
JID - 100895975
SB  - IM
MH  - Humans
MH  - Mass Screening
MH  - *Psychotic Disorders/diagnosis
MH  - *Schizophrenia
MH  - Speech
PMC - PMC7678898
COIS- The authors report no conflicts of interest.
EDAT- 2020/04/23 06:00
MHDA- 2020/11/28 06:00
PMCR- 2020/04/17
CRDT- 2020/04/23 06:00
PHST- 2019/09/23 00:00 [received]
PHST- 2020/01/23 00:00 [accepted]
PHST- 2020/04/23 06:00 [pubmed]
PHST- 2020/11/28 06:00 [medline]
PHST- 2020/04/23 06:00 [entrez]
PHST- 2020/04/17 00:00 [pmc-release]
AID - S1516-44462020005010202 [pii]
AID - 10.1590/1516-4446-2019-0722 [doi]
PST - ppublish
SO  - Braz J Psychiatry. 2020 Nov-Dec;42(6):673-686. doi: 10.1590/1516-4446-2019-0722.