Evidence map›Paper›PMID 24845761›Full record

ArticleAlzheimer disease and associated disorders

Errors in self-reports of health services use: impact on alzheimer disease clinical trial designs.

Christopher M Callahan, Wanzhu Tu, Timothy E Stump, Daniel O Clark, Kathleen T Unroe, Hugh C Hendrie

Abstract read
In one paragraph

Article in Alzheimer disease and associated disorders. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Christopher M Callahan*Indiana University Center for Aging Research Departments of †Medicine §Biostatistics ∥Psychiatry, Indiana University School of Medicine ‡Regenstrief Institute Inc., Indianapolis, IN.
Wanzhu Tu
Timothy E Stump
Daniel O Clark
Kathleen T Unroe
Hugh C Hendrie

Funding

Patient-Oriented Research to Improve Geriatric Care-K24K24AG024078 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI CALLAHAN, CHRISTOPHER M · 2004 to 2013
$1.4M
MODELING ALZHEIMER DISEASE COSTS AND TRANSITIONSR01AG031222 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI CALLAHAN, CHRISTOPHER M · 2009 to 2010
$1.3M
NIA NIH HHS K24 AG024078NIA NIH HHS R01 AG031222
6 · The paper itself

Abstract

backgroundMost Alzheimer disease clinical trials that compare the use of health services rely on reports of caregivers. The goal of this study was to assess the accuracy of self-reports among older adults with Alzheimer disease and their caregiver proxy respondents. This issue is particularly relevant to Alzheimer disease clinical trials because inaccuracy can lead both to loss of power and increased bias in study outcomes.

methodsWe compared respondent accuracy in reporting any use and in reporting the frequency of use with actual utilization data as documented in a comprehensive database. We next simulated the impact of underreporting and overreporting on sample size estimates and treatment effect bias for clinical trials comparing utilization between experimental groups.

resultsRespondents self-reports have a poor level of accuracy with κ-values often below 0.5. Respondents tend to underreport use even for rare events such as hospitalizations and nursing home stays. In analyses simulating underreporting and overreporting of varying magnitude, we found that errors in self-reports can increase the required sample size by 15% to 30%. In addition, bias in the reported treatment effect ranged from 3% to 18% due to both underreporting and overreporting errors.

conclusionsUse of self-report data in clinical trials of Alzheimer disease treatments may inflate sample size needs. Even when adequate power is achieved by increasing sample size, reporting errors can result in a biased estimate of the true effect size of the intervention.

Indexed as

Patient Acceptance of Health CareSample SizeAgedAged, 80 and overAlzheimer DiseaseClinical Trials as TopicDatabases, FactualFemaleHumansMaleResearch DesignSelf Report

Identifiers

PMID24845761
PMCPMC4237690

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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.