Evidence map›Paper›PMID 33437970›Full record

ArticleJournal of behavioral and cognitive therapy2020

Development of the Motivation and Skills Support (MASS) social goal attainment smartphone app for (and with) people with schizophrenia.

Daniel Fulford, Jasmine Mote, David E Gard, Kim T Mueser, Kathryn Gill, Lawrence Leung, Kara Dillaway

Abstract read
In one paragraph

Article in Journal of behavioral and cognitive therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel FulfordSargent College of Health & Rehabilitation Sciences, Boston University, Boston, USA.
Jasmine MoteSargent College of Health & Rehabilitation Sciences, Boston University, Boston, USA.
David E GardDepartment of Psychology, San Francisco State University, San Francisco, USA.
Kim T MueserSargent College of Health & Rehabilitation Sciences, Boston University, Boston, USA.
Kathryn GillSargent College of Health & Rehabilitation Sciences, Boston University, Boston, USA.
Lawrence LeungDepartment of Psychology, San Francisco State University, San Francisco, USA.
Kara DillawaySargent College of Health & Rehabilitation Sciences, Boston University, Boston, USA.

Funding

Enhancing Social Functioning in Schizophrenia through Scalable Mobile TechnologyR21MH111501 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FULFORD, DANIEL C · 2017 to 2018
$459k
NIMH NIH HHS L30 MH098380NIMH NIH HHS R21 MH111501
6 · The paper itself

Abstract

People with schizophrenia and schizoaffective disorder (SZ) often struggle with social impairment, including small social networks and loneliness. Limitations in social skills and reduced social motivation-effort to engage in social connection-are key contributors to social impairment. While evidence-based approaches to improving social outcomes are available, including social skills training and cognitive behavioral therapy for psychosis, ongoing access to these interventions is often limited. Mobile technologies, including smartphone applications (apps), may address some of this need. In this paper, we describe the development of a smartphone app designed to address social skill and motivation deficits in SZ: the Motivation and Skills Support (MASS) app. We discuss the incorporation of stakeholder input into intervention design as well as results from usability pilot testing of the app in a sample of people with SZ. Finally, we describe next steps in the development and testing process of the MASS app.

Indexed as

Mobile technologySchizophreniaSocial motivationSocial skills

Identifiers

PMID33437970
PMCPMC7799178

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.