Dataset Information

Applying speech technologies to assess verbal memory in patients with serious mental illness.

ABSTRACT: Verbal memory deficits are some of the most profound neurocognitive deficits associated with schizophrenia and serious mental illness in general. As yet, their measurement in clinical settings is limited to traditional tests that allow for limited administrations and require substantial resources to deploy and score. Therefore, we developed a digital ambulatory verbal memory test with automated scoring, and repeated self-administration via smart devices. One hundred and four adults participated, comprising 25 patients with serious mental illness and 79 healthy volunteers. The study design was successful with high quality speech recordings produced to 92% of prompts (Patients: 86%, Healthy: 96%). The story recalls were both transcribed and scored by humans, and scores generated using natural language processing on transcriptions were comparable to human ratings (R?=?0.83, within the range of human-to-human correlations of R?=?0.73-0.89). A fully automated approach that scored transcripts generated by automatic speech recognition produced comparable and accurate scores (R?=?0.82), with very high correlation to scores derived from human transcripts (R?=?0.99). This study demonstrates the viability of leveraging speech technologies to facilitate the frequent assessment of verbal memory for clinical monitoring purposes in psychiatry.

SUBMITTER: Holmlund TB

PROVIDER: S-EPMC7066153 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Applying speech technologies to assess verbal memory in patients with serious mental illness.

Holmlund Terje B TB Chandler Chelsea C Foltz Peter W PW Cohen Alex S AS Cheng Jian J Bernstein Jared C JC Rosenfeld Elizabeth P EP Elvevåg Brita B

NPJ digital medicine 20200311

Verbal memory deficits are some of the most profound neurocognitive deficits associated with schizophrenia and serious mental illness in general. As yet, their measurement in clinical settings is limited to traditional tests that allow for limited administrations and require substantial resources to deploy and score. Therefore, we developed a digital ambulatory verbal memory test with automated scoring, and repeated self-administration via smart devices. One hundred and four adults participated, ...[more]

PMID: 32195368

Similar Datasets

Project description:BackgroundPeople with a serious mental illness are more likely to smoke more and to be more dependent smokers than the general population. This may be due to a wide range of factors that could include a common aetiology to both smoking and the illness, self medication, smoking to alleviate adverse effects of medications, boredom in the existing environment, or a combination of these factors. It is important to undertake this review to facilitate improvements in both the health and safety of people with serious mental illness who smoke, and to reduce the overall burden of costs (both financial and health) to the smoker and, eventually, to the taxpayer.ObjectivesTo review the effects of smoking cessation advice for people with serious mental illness.Search methodsWe searched the Cochrane Schizophrenia Group Specialized Trials Register up to 2 April 2015, which is based on regular searches of CENTRAL, BIOSIS, PubMed, MEDLINE, EMBASE, CINAHL, PsycINFO, and trial registries. We also undertook unsystematic searches of a sample of the component databases (BNI, CINHAL, EMBASE, MEDLINE, and PsycINFO), up to 2 April 2015, and searched references of all identified studiesSelection criteriaWe planned to include all randomised controlled trials (RCTs) that focussed on smoking cessation advice versus standard care or comparing smoking cessation advice with other more focussed methods of delivering care or information.Data collection and analysisThe review authors (PK, AC, and DB) independently screened search results but did not identify any trials that fulfilled the inclusion criteria of this review.Main resultsWe did not identify any RCTs that evaluated advice regarding smoking cessation for people with serious mental illness. The excluded studies illustrate that randomisation of packages of care relevant to smokers with serious mental illness is possible.Authors' conclusionsPeople with serious mental illness are more likely to smoke than the general population. Yet we could not find any high quality evidence to guide the smoking cessation advice healthcare professionals pass onto service users. This is an area where trials are possible and needed.

Project description:BackgroundSerious mental illnesses (SMI) such as schizophrenia and bipolar disorder first develop between ages 14 and 25. Once diagnosed, young peoples' health can deteriorate, and it is therefore vital to detect this early to prevent severe outcomes including hospitalisations and deaths by suicide. The main study aim is to describe and discuss observational studies that examine signs of deterioration in young patients with SMI.MethodsA systematic review guided by the published protocol was conducted. Cumulative Index to Nursing and allied Health Literature (CINAHL), MEDLINE, Embase, PsycINFO, Health Management Information Consortium (HMIC) and Web of Science were searched against pre-defined criteria until 1 March 2021. Observational studies were extracted according to design, country, participant, indicator, outcome and main finding categories. Quality was assessed independently using the Newcastle Ottawa Scale (NOS).ResultsOf the 15,788 publications identified, 5 studies were included and subjected to narrative synthesis. Two indicators of mental health deterioration were identified: cognitive functioning (decline, worsening and poor school/academic performance) and expressed emotion status. Indicators revealed mixed views on predicting deterioration. Worsening cognitive functioning and expressed emotion status significantly predicted medication non-adherence and relapse respectively. However, a decline in cognitive functioning (poor academic performance) was not found to significantly correlate to deaths by suicide. Study quality was mostly poor and associations between indicators and varied outcomes were weak. The heterogeneous nature of the data made comparisons difficult and did not allow for further statistical analysis.ConclusionTo our knowledge, this is the first review of observational studies to identify indicators of deterioration in young patients with SMI. Worsening cognitive functioning and expressed emotion status could indicate non-adherence and relapse in young patients with SMI but larger sample sizes in good quality studies are needed. The dearth of observational studies means further research is required to ascertain other indicators of deterioration before serious outcomes occur.FundingThis work was supported by the National Institute for Health Research (NIHR) Imperial Patient Safety Translational Research Centre via an NIHR programme grant. The authors are also grateful for support from the NIHR under the Applied Health Research programme for North West London and the NIHR Imperial Biomedical Research Centre. The views expressed in this publication are those of the authors and not necessarily those of the National Health Service (NHS), the NIHR or the Department of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Trial registrationThis systematic review has been registered on PROSPERO (registration number: CRD42017075755 ).

Dataset Information

Applying speech technologies to assess verbal memory in patients with serious mental illness.

Publications

Applying speech technologies to assess verbal memory in patients with serious mental illness.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets