Evidence map›Paper›PMID 30630529›Full record

ArticleAlzheimer's research & therapy2019

Measuring instrumental activities of daily living in non-demented elderly: a comparison of the new performance-based Harvard Automated Phone Task with other functional assessments.

Gad A Marshall, Sarah L Aghjayan, Maria Dekhtyar, Joseph J Locascio, Kamal Jethwani, Rebecca E Amariglio, Sara J Czaja, David A Loewenstein, Keith A Johnson, Reisa A Sperling and 1 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Concurrent Validity of Performance-Based Measures of Daily Functioning with Cognitive Measures and Informant Reported Everyday Functioning.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
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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

11 authors at 3 institutions in 1 country.

Gad A MarshallCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. gamarshall@partners.org.ORCID 0000-0002-9096-2355
Sarah L AghjayanCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Maria DekhtyarCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Joseph J LocascioMassachusetts Alzheimer's Disease Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA.
Kamal JethwaniConnected Health Innovation, Partners HealthCare, Harvard Medical School, Boston, MA, 02114, USA.
Rebecca E AmariglioCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Sara J CzajaDepartment of Psychiatry and Behavioral Sciences, Center on Aging, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
David A LoewensteinDepartment of Psychiatry and Behavioral Sciences, Center on Aging, University of Miami Miller School of Medicine, Miami, FL, 33136, USA.
Keith A JohnsonCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Reisa A SperlingCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Dorene M RentzCenter for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Brigham and Women's Hospital · USHarvard University · USUniversity of Miami · US

Funding

THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HYMAN, BRADLEY T. · 1985 to 2018
$42.1M
Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
Evolution of memory-related fMRI activation over the course of MCI and ADR01AG027435 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI JOHNSON, KEITH A., SPERLING, REISA A. · 2006 to 2016
$8.6M
University of Florida - Mt. Sinai Medical Center AD Research CenterP50AG047266 · NIA · UNIVERSITY OF FLORIDA · PI LOEWENSTEIN, DAVID · 2015 to 2019
$7.3M
NCATS NIH HHS UL1 TR002736NIA NIH HHS P50 AG005134NIA NIH HHS P50 AG047266NIA NIH HHS R01 AG027435
6 · The paper itself

Abstract

backgroundImpairment in instrumental activities of daily living (IADL) may occur in the earliest stages of mild cognitive impairment (MCI). However, there are few reliable measures of IADL in MCI or that have a sufficient range of scores in clinically normal (CN) elderly. The objective of this pilot study was to examine the convergent validity of a phone performance-based IADL instrument, the Harvard Automated Phone Task (APT), designed to measure the earliest IADL changes in Alzheimer's disease (AD), with other sensitive performance-based and subjective measures of everyday functional capacity among CN and MCI participants.

methodsTwenty-nine CN and 17 MCI participants were administered the Harvard APT, the computer performance-based Czaja Functional Assessment Battery (CFAB), and the AD Cooperative Study ADL prevention instrument (ADCS ADL-PI) participant and study partner versions; in addition, 52 different CN and 7 MCI participants were administered the Harvard APT and the Subjective Study Partner and Participant-reported (SSPP) IADL scale. The Harvard APT was compared with the three other IADL assessments.

resultsIn both CN and MCI, better performance on the Harvard APT was associated with better performance on the CFAB. In CN, better performance on the Harvard APT was associated with better ADCS ADL-PI participant-reported IADL, while in MCI better performance on the Harvard APT was associated with better ADCS ADL-PI study partner-reported IADL. Furthermore, in CN better performance on the Harvard APT was associated with better SSPP-IADL participant and study partner-reported IADL.

conclusionsIn this small pilot study, the Harvard APT, a brief, self-administered, objective measure of IADL performance, appears to correlate well with other sensitive measures of everyday functioning, providing good preliminary convergent validity for this new measure. Moreover, it appears to perform well across both CN and MCI participants, which suggests that it is a promising measure of early, clinically meaningful functional change. This may not be the case as suggested in our small sample for subjective IADL scales that may perform differentially depending on the reporter (self vs. study partner) across the clinical spectrum possibly due to diminishing awareness of IADL difficulties in individuals who become cognitively impaired. Secondary prevention trials in AD have a great need for such ecologically valid and reliable measures of early IADL changes.

Indexed as

TelephoneActivities of Daily LivingAgedAged, 80 and overAgingCognitive DysfunctionCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsPilot ProjectsPsychomotor PerformanceAlzheimer’s diseaseEveryday functioningInstrumental activities of daily livingMild cognitive impairmentPerformance-basedValidation

Identifiers

PMID30630529
PMCPMC6329044
OpenAlexW2914758167

What OpenQuestion holds

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LicenceCC BY
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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.