Evidence map›Paper›PMID 39380898›Full record

ArticleSchizophrenia research. Cognition2025

Migration of digital functional capacity assessments from device resident to cloud-based delivery: Development and convergent validity.

Philip D Harvey, Richard S E Keefe, Peter Kallestrup, Sara J Czaja, Hans Klein, William Horan

Abstract read
In one paragraph

Article in Schizophrenia research. Cognition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Philip D HarveyUniversity of Miami Miller School of Medicine, Miami, FL, United States of America.
Richard S E KeefeDuke University, Durham, NC, United States of America.
Peter KallestrupI-Function, Miami, FL, United States of America.
Sara J CzajaI-Function, Miami, FL, United States of America.
Hans KleinWCG Endpoint Solutions, Cary, NC, United States of America.
William HoranKaruna Therapeutics, Boston, MA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decentralized clinical trials are leading to rapid changes in assessment technology, including an expansion of interest in remote delivery. As technology changes, some of the updates include migration to fully cloud-based software and data management, with attendant differences in hardware, response modalities, and modifications in the level of tester engagement. It is rare to see systematic descriptions of the process of migration and upgrading of technology-related assessments. We present comparative data on successive generations of two widely used functional capacity measures, the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) and the Functional Capacity Assessment and Training System (FUNSAT). Four samples of healthy older individuals completed either the original device-resident, computer-administered versions, or cloud-based, tablet-delivered versions of these tasks. For the VRFCAT, performance and correlations with age were similar across versions, although performance was slightly (5 %) faster with iPad delivery. For the FUNSAT, performance and correlations with age and cognitive task scores were generally similar across versions for English Speakers, though there were some differences related to the testing language for the cloud-based version. These results support the feasibility of migrating digital assessments to cloud-based delivery and substantiate fundamental similarity across delivery strategies.

Indexed as

CognitionDigital phenotypingFunctional capacitySchizophrenia

Identifiers

PMID39380898
PMCPMC11460501

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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.