Evidence map›Paper›PMID 33855172›Full record

ArticleApplied Human Factors and Ergonomics Conference2020

Predictive Analytics and the Return of "Research" Information to Participants.

Shengzhi Wang, Ellen E Lee, Benjamin Zywicki, Ho-Cheol Kim, Dilip Jeste, Camille Nebeker

Abstract read
In one paragraph

Article in Applied Human Factors and Ergonomics Conference, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shengzhi WangComputer Science and Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, USA.
Ellen E LeeDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Benjamin ZywickiDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Ho-Cheol KimScalable Knowledge Intelligence, IBM Research-Almaden, San Jose, CA, USA.
Dilip JesteDepartment of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA.
Camille NebekerSam and Rose Stein Institute for Research on Aging, University of California San Diego, La Jolla, CA, USA.

Funding

Inflammatory Mechanisms Linking Sleep Disturbances and Cognitive Deficits in Schizophrenia in Later LifeK23MH119375 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LEE, ELLEN EUN-OK · 2019 to 2023
$1.0M
NIMH NIH HHS K23 MH119375
6 · The paper itself

Abstract

The World Health Organization (WHO) estimates older adults aged 60+ will double by 2050 with 80% living in low to moderate income countries. As remote research studies supported by digital devices increase separation between researchers and participants, it is important to maintain participant trust. Research participants have expressed an interest in accessing both group and individual level results, which are not readily available. To bridge this gap, we engaged residents of a local continuing care senior housing community (CCSHC) to co-design documents used to convey information about study results. The process informed the refinement of informational materials for communicating scientific research that the CCSHC community considers accessible and meaningful.

Indexed as

Digital healthOlder adultsParticipant engagementReturn of research results

Identifiers

PMID33855172
PMCPMC8040747

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.