Evidence map›Paper›PMID 27473748›Full record

ArticleAge (Dordrecht, Netherlands)2016

Computer-based tools for assessing micro-longitudinal patterns of cognitive function in older adults.

Laura J E Brown, Tim Adlam, Faustina Hwang, Hassan Khadra, Linda M Maclean, Bridey Rudd, Tom Smith, Claire Timon, Elizabeth A Williams, Arlene J Astell

Open access · hybridAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Age (Dordrecht, Netherlands), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

10 authors at 10 institutions in 3 countries.

Laura J E BrownSchool of Psychological Sciences and Manchester Centre for Health Psychology, The University of Manchester, Room S32, Second Floor, Zochonis Building, Brunswick Street, Manchester, M13 9PL, UK. laura.brown@manchester.ac.uk.
Tim AdlamDesignability, Royal United Hospital, Bath, UK.
Faustina HwangSchool of Systems Engineering, University of Reading, Reading, UK.
Hassan KhadraOxford Technologies Limited, Oxford, UK.
Linda M MacleanInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Bridey RuddSchool of Social and Health Sciences, University of Abertay, Dundee, UK.
Tom SmithGeneric Robotics Ltd, Reading, UK.
Claire TimonInstitute of Food and Health, University College Dublin, Dublin, Ireland.
Elizabeth A WilliamsHuman Nutrition Unit, University of Sheffield, Sheffield, UK.
Arlene J AstellCentre for Assistive Technology and Connected Healthcare (CATCH), University of Sheffield, Sheffield, UK.
Abertay University · GBDesignability · GBGeneric Robotics (United Kingdom) · GBOntario Shores Centre for Mental Health Sciences · CAOxford Technologies (United Kingdom) · GBUniversity College Dublin · IEUniversity of Glasgow · GBUniversity of Manchester · GBUniversity of Reading · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patterns of cognitive change over micro-longitudinal timescales (i.e., ranging from hours to days) are associated with a wide range of age-related health and functional outcomes. However, practical issues of conducting high-frequency assessments make investigations of micro-longitudinal cognition costly and burdensome to run. One way of addressing this is to develop cognitive assessments that can be performed by older adults, in their own homes, without a researcher being present. Here, we address the question of whether reliable and valid cognitive data can be collected over micro-longitudinal timescales using unsupervised cognitive tests.In study 1, 48 older adults completed two touchscreen cognitive tests, on three occasions, in controlled conditions, alongside a battery of standard tests of cognitive functions. In study 2, 40 older adults completed the same two computerized tasks on multiple occasions, over three separate week-long periods, in their own homes, without a researcher present. Here, the tasks were incorporated into a wider touchscreen system (Novel Assessment of Nutrition and Ageing (NANA)) developed to assess multiple domains of health and behavior. Standard tests of cognitive function were also administered prior to participants using the NANA system.Performance on the two "NANA" cognitive tasks showed convergent validity with, and similar levels of reliability to, the standard cognitive battery in both studies. Completion and accuracy rates were also very high. These results show that reliable and valid cognitive data can be collected from older adults using unsupervised computerized tests, thus affording new opportunities for the investigation of cognitive.

Indexed as

Memory and Learning TestsSelf ReportAgedAged, 80 and overAgingCognitionComputersFemaleGeriatric AssessmentHumansLongitudinal StudiesMaleMemoryMiddle AgedNutritional StatusReproducibility of ResultsAssessmentCognitionHealthRepeated measuresValidation

Identifiers

PMID27473748
PMCPMC5061654
OpenAlexW2500662120

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.