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Title Authors PubMed ID
1 Metaphors in context and in isolation: Familiarity, aptness, concreteness, metaphoricity, and structure norms for 300 two-word expressions Pissani L; de Almeida RG; 41491452
PSYCHOLOGY
2 Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review Jafarpour H; Wu G; Cheligeer CK; Yan J; Xu Y; Southern DA; Eastwood CA; Zeng Y; Quan H; 41072367
ENCS
3 Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening Gebre AK; Sim M; Gilani SZ; Saleem A; Smith C; Hans D; Reid S; Monchka BA; Kimelman D; Jozani MJ; Schousboe JT; Lewis JR; Leslie WD; 41071096
ENCS
4 MedCLIP-SAMv2: Towards universal text-driven medical image segmentation Koleilat T; Asgariandehkordi H; Rivaz H; Xiao Y; 40779830
ENCS
5 Contextual variations in the effects of social withdrawal, peer exclusion, and friendship on growth curves of depressed affect in late childhood Commisso M; Persram RP; Lopez LS; Bukowski WM; 40583455
CONCORDIA
6 Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H; 40105654
ENCS
7 Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review D' Arcey J; Torous J; Asuncion TR; Tackaberry-Giddens L; Zahid A; Ishak M; Foussias G; Kidd S; 39348196
PSYCHOLOGY
8 Context-induced renewal of passive but not active coping behaviours in the shock-probe defensive burying task Alexa Brown 37095421
PSYCHOLOGY
9 A new circuit underlying the renewal of appetitive Pavlovian responses: Commentary on Brown and Chaudhri (2022) Valyear MD; Britt JP; 36700576
CSBN
10 Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications Luo Z; Amayri M; Fan W; Bouguila N; 36685642
ENCS
11 Learning processes in relapse to alcohol use: lessons from animal models Valyear MD; LeCocq MR; Brown A; Villaruel FR; Segal D; Chaudhri N; 36264342
PSYCHOLOGY
12 Supplementary dataset of context-dependent conditioned responding to an alcohol-predictive cue in female and male rats Segal D; Valyear MD; Chaudhri N; 35330738
PSYCHOLOGY
13 Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures Bourouis S; Pawar Y; Bouguila N; 35009726
ENCS
14 Indeterminate and Enriched Propositions in Context Linger: Evidence From an Eye-Tracking False Memory Paradigm Antal C; de Almeida RG; 34744914
PSYCHOLOGY
15 The role of context on responding to an alcohol-predictive cue in female and male rats Segal D; Valyear MD; Chaudhri N; 34742865
PSYCHOLOGY
16 Depressive Symptoms and Social Context Modulate Oxytocin's Effect on Negative Memory Recall Wong SF; Cardoso C; Orlando MA; Brown CA; Ellenbogen MA; 34100542
PSYCHOLOGY
17 Filtration for improving surface water quality of a eutrophic lake. Palakkeel Veetil D, Arriagada EC, Mulligan CN, Bhat S 33310244
ENCS
18 Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Ebadi A; Xi P; Tremblay S; Spencer B; Pall R; Wong A; 33230352
ENCS
19 The contribution of dry indoor built environment on the spread of Coronavirus: Data from various Indian states. V AAR, R V, Haghighat F 32834934
ENCS
20 Comparing ABA, AAB, and ABC Renewal of Appetitive Pavlovian Conditioned Responding in Alcohol- and Sucrose-Trained Male Rats. Khoo SY, Sciascia JM, Brown A, Chaudhri N 32116588
PSYCHOLOGY
21 Context controls the timing of responses to an alcohol-predictive conditioned stimulus. Valyear MD, Chaudhri N 32017964
PSYCHOLOGY
22 Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature. Muñoz G, Kissling WD, van Loon EE 30692868
BIOLOGY

 

Title:Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review
Authors:D'Arcey JTorous JAsuncion TRTackaberry-Giddens LZahid AIshak MFoussias GKidd S
Link:https://pubmed.ncbi.nlm.nih.gov/39348196/
DOI:10.2196/57150
Publication:JMIR mental health
Keywords:acceptabilityaccess to specialized resourcescareclinical integrationdatabasedigital healthdigital mental healtheHealthefficacyengagementfeasibilityhealth technologymental healthmental health caremobile phonemood disordermood disordersneurodevelopmentpersonal technologysatisfactionschizophreniaschizophrenia spectrum disorderscoping reviewspecialized caresupporttechnologytexttext messagingusabilityuser feedback
PMID:39348196 Category: Date Added:2024-09-30
Dept Affiliation: PSYCHOLOGY
1 Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada.
2 Clinical Psychological Sciences, Department of Psychology, University of Toronto Scarborough, Toronto, ON, Canada.
3 Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
4 Department of Psychology, Research and Clinical Training, Concordia University, Montreal, QC, Canada.

Description:

Background: Digital mental health is a rapidly growing field with an increasing evidence base due to its potential scalability and impacts on access to mental health care. Further, within underfunded service systems, leveraging personal technologies to deliver or support specialized service delivery has garnered attention as a feasible and cost-effective means of improving access. Digital health relevance has also improved as technology ownership in individuals with schizophrenia has improved and is comparable to that of the general population. However, less digital health research has been conducted in groups with schizophrenia spectrum disorders compared to other mental health conditions, and overall feasibility, efficacy, and clinical integration remain largely unknown.

Objective: This review aims to describe the available literature investigating the use of personal technologies (ie, phone, computer, tablet, and wearables) to deliver or support specialized care for schizophrenia and examine opportunities and barriers to integrating this technology into care.

Methods: Given the size of this review, we used scoping review methods. We searched 3 major databases with search teams related to schizophrenia spectrum disorders, various personal technologies, and intervention outcomes related to recovery. We included studies from the full spectrum of methodologies, from development papers to implementation trials. Methods and reporting follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.

Results: This search resulted in 999 studies, which, through review by at least 2 reviewers, included 92 publications. Included studies were published from 2010 to 2023. Most studies examined multitechnology interventions (40/92, 43%) or smartphone apps (25/92, 27%), followed by SMS text messaging (16/92, 17%) and internet-based interventions (11/92, 12%). No studies used wearable technology on its own to deliver an intervention. Regarding the stage of research in the field, the largest number of publications were pilot studies (32/92, 35%), followed by randomized control trials (RCTs; 20/92, 22%), secondary analyses (16/92, 17%), RCT protocols (16/92, 17%), development papers (5/92, 5%), and nonrandomized or quasi-experimental trials (3/92, 3%). Most studies did not report on safety indices (55/92, 60%) or privacy precautions (64/92, 70%). Included studies tend to report consistent positive user feedback regarding the usability, acceptability, and satisfaction with technology; however, engagement metrics are highly variable and report mixed outcomes. Furthermore, efficacy at both the pilot and RCT levels report mixed findings on primary outcomes.

Conclusions: Overall, the findings of this review highlight the discrepancy between the high levels of acceptability and usability of these digital interventions, mixed efficacy results, and difficulties with sustained engagement. The discussion highlights common patterns that may underscore this observation in the field; however, as this was a scoping review, a more in-depth systematic review or meta-analysis may be required to better understand the trends outlined in this review.





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