Evidence map›Paper›PMID 32780744›Full record

ArticlePloS one2020

Comparison of alternative full and brief versions of functional status scales among older adults in China.

Jeremy Reich, Mark G Thompson, Benjamin J Cowling, A Danielle Iuliano, Carolyn Greene, Yuyun Chen, Rachael Phadnis, Nancy H L Leung, Ying Song, Vicky J Fang and 6 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Jeremy ReichInfluenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-6211-9723
Mark G ThompsonInfluenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0003-0046-3147
Benjamin J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0002-6297-7154
A Danielle IulianoInfluenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Carolyn GreeneInfluenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Yuyun ChenWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Rachael PhadnisAbt Associates, Cambridge, Massachusetts, United States of America.
Nancy H L LeungWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0001-7314-840X
Ying SongInfluenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Vicky J FangWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Cuiling XuChinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Qigang DaiDepartment of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Jun ZhangSuzhou Center for Disease Prevention and Control, Suzhou, China.
Hongjun ZhangYancheng Center for Disease Prevention and Control, Yancheng, China.
Fiona HaversInfluenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
CARES investigators

Funding

Research on the Epidemiology, Vaccine Effectiveness and Treatment of Influenza and Other Respiratory Viruses in Southeast Asia and the Western PacificU01IP001064 · IP · UNIVERSITY OF HONG KONG · PI COWLING, BENJAMIN JOHN · 2016 to 2020
$10.4M
ACL HHS U01IP001064NCIRD CDC HHS U01 IP001064
6 · The paper itself

Abstract

backgroundBrief assessments of functional status for community-dwelling older adults are needed given expanded interest in the measurement of functional decline.

methodsAs part of a 2015 prospective cohort study of older adults aged 60-89 years in Jiangsu Province, China, 1506 participants were randomly assigned to two groups; each group was administered one of two alternative 20-item versions of a scale to assess activities of daily living (ADL) and instrumental activities of daily living (IADL) drawn from multiple commonly-used scales. One version asked if they required help to perform activities (ADL-IADL-HELP-20), while the other version provided additional response options if activities could be done alone but with difficulty (ADL-IADL-DIFFICULTY-20). Item responses to both versions were compared using the binomial test for differences in proportion (with Wald 95% confidence interval [CI]). A brief 9-item scale (ADL-IADL-DIFFICULTY-9) was developed favoring items identified as difficult or requiring help by ≥4%, with low redundancy and/or residual correlations, and with significant correlations with age and other health indicators. We repeated assessment of the measurement properties of the brief scale in two subsequent samples of older adults in Hong Kong in 2016 (aged 70-79 years; n = 404) and 2017 (aged 65-82 years; n = 1854).

resultsAsking if an activity can be done alone but with difficulty increased the proportion of participants reporting restriction on 9 of 20 items, for which 95% CI for difference scores did not overlap with zero; the proportion with at least one limitation increased from 28.6% to 34.2% or an absolute increase of 5.6% (95% CI = 0.9-10.3%), which was a relative increase of 19.6%. The brief ADL-IADL-DIFFICULTY-9 maintained excellent internal consistency (α = 0.93) and had similar ceiling effect (68.1%), invariant item ordering (H trans = .41; medium), and correlations with age and other health measures compared with the 20-item version. The brief scale performed similarly when subsequently administered to older adults in Hong Kong.

conclusionsAsking if tasks can be done alone but with difficulty can modestly reduce ceiling effects. It's possible that the length of commonly-used scales can be reduced by over half if researchers are primarily interested in a summed indicator rather than an inventory of specific types of deficits.

Indexed as

Activities of Daily LivingDisability EvaluationPhysical Functional PerformanceAgedAged, 80 and overChinaCohort StudiesFemaleGeriatric AssessmentHong KongHumansIndependent LivingMaleMiddle AgedProspective Studies

Identifiers

PMID32780744
PMCPMC7418957

What OpenQuestion holds

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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.