Keyword search (4,163 papers available)

"integration" Keyword-tagged Publications:

Title Authors PubMed ID
1 NIRSTORM: a Brainstorm extension dedicated to functional near-infrared spectroscopy data analysis, advanced 3D reconstructions, and optimal probe design Delaire É; Vincent T; Cai Z; Machado A; Hugueville L; Schwartz D; Tadel F; Cassani R; Bherer L; Lina JM; Pélégrini-Issac M; Grova C; 40375973
SOH
2 Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; 40336660
ENCS
3 Integrating past experiences Leir TMW; Gardner MPH; 40146623
PSYCHOLOGY
4 Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG Bedford O; Noly-Gandon A; Ara A; Wiesman AI; Albouy P; Baillet S; Penhune V; Zatorre RJ; 39757971
PSYCHOLOGY
5 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
6 Changes in social functioning and circulating oxytocin and vasopressin following the migration to a new country Gouin JP; Pournajafi-Nazarloo H; Carter CS; 25446216
PSYCHOLOGY
7 What Comes First, Acculturation or Adjustment? A Longitudinal Investigation of Integration Versus Mental Resources Hypotheses Doucerain MM; Amiot CE; Jurcik T; Ryder AG; 38031873
CONCORDIA
8 Audiovisual integration in children with cochlear implants revealed through EEG and fNIRS Alemi R; Wolfe J; Neumann S; Manning J; Towler W; Koirala N; Gracco VL; Deroche M; 37989460
PSYCHOLOGY
9 Visual biases in evaluation of speakers' and singers' voice type by cis and trans listeners Marchand Knight J; Sares AG; Deroche MLD; 37205083
PSYCHOLOGY
10 Activity and Interconnections of Individual and Collective Actors: An Integrative Approach to Small Group Research Sidorenkov AV; Borokhovski EF; 37041377
CONCORDIA
11 The MyLo CRISPR-Cas9 Toolkit: A Markerless Yeast Localization and Overexpression CRISPR-Cas9 Toolkit Bean BDM; Whiteway M; Martin VJJ; 35708612
BIOLOGY
12 Understanding Associative Learning Through Higher-Order Conditioning Gostolupce D; Lay BPP; Maes EJP; Iordanova MD; 35517574
PSYCHOLOGY
13 Guidance to (Re)integrate Caregivers as Essential Care Partners Into the LTC Setting: A Rapid Review Palubiski LM; Tulsieram KL; Archibald D; Conklin J; Elliott J; Hsu A; Stolee P; Sveistrup H; Kothari A; 35183492
CONCORDIA
14 The trade-off between pulse duration and power in optical excitation of midbrain dopamine neurons approximates Bloch's law Pallikaras V; Carter F; Velazquez-Martinez DN; Arvanitogiannis A; Shizgal P; 34864162
PSYCHOLOGY
15 Spoken Word Segmentation in First and Second Language: When ERP and Behavioral Measures Diverge Gilbert AC; Lee JG; Coulter K; Wolpert MA; Kousaie S; Gracco VL; Klein D; Titone D; Phillips NA; Baum SR; 34603133
PSYCHOLOGY
16 War and reintegration for girls and young women in northern Uganda: A scoping review Savard M; Michaelsen S; 34479000
EDUCATION
17 Effector-independent brain network for auditory-motor integration: fMRI evidence from singing and cello playing Segado M; Zatorre RJ; Penhune VB; 33989814
PSYCHOLOGY
18 Reconsidering Reconciliation Within Families of Youth Who Sexually Offend. Gervais CLM, Johnston MS 33435796
CONCORDIA
19 Pantomime (Not Silent Gesture) in Multimodal Communication: Evidence From Children's Narratives. Marentette P, Furman R, Suvanto ME, Nicoladis E 33329222
PSYCHOLOGY
20 Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; 33181361
CONCORDIA
21 BENIN: Biologically enhanced network inference. Wonkap SK, Butler G 32698722
ENCS
22 Partially Overlapping Brain Networks for Singing and Cello Playing. Segado M, Hollinger A, Thibodeau J, Penhune V, Zatorre RJ 29892211
PSYCHOLOGY
23 Neural network retuning and neural predictors of learning success associated with cello training Wollman I; Penhune V; Segado M; Carpentier T; Zatorre RJ; 29891670
PSYCHOLOGY
24 Attachment style and changes in systemic inflammation following migration to a new country among international students. Gouin JP, MacNeil S 30406717
PERFORM

 

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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