Evidence map›Paper›PMID 31900764›Full record

SynthesisQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2020

Investigating child self-report capacity: a systematic review and utility analysis.

Katherine B Bevans, Isaac L Ahuvia, Taye M Hallock, Rochelle Mendonca, Stephanie Roth, Christopher B Forrest, Courtney Blackwell, Jessica Kramer, Lauren Wakschlag

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  6. Does Being In-Person Matter? Demonstrating the Feasibility and Reliability of Fully Remote Observational Data Collection.Prevention science : the official journal of the Society for Prevention Research · 2026
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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

9 authors at 5 institutions in 1 country.

Katherine B BevansCollege of Public Health, Temple University, 1913 N Broad Street, Philadelphia, PA, 19122-6092, USA. katherine.bevans@temple.edu.
Isaac L AhuviaNorthwestern University, Chicago, USA.
Taye M HallockCollege of Public Health, Temple University, 1913 N Broad Street, Philadelphia, PA, 19122-6092, USA.
Rochelle MendoncaColumbia University, New York, USA.
Stephanie RothCollege of Public Health, Temple University, 1913 N Broad Street, Philadelphia, PA, 19122-6092, USA.
Christopher B ForrestChildren's Hospital of Philadelphia, Philadelphia, USA.
Courtney BlackwellNorthwestern University, Chicago, USA.
Jessica KramerUniversity of Florida, Gainesville, USA.
Lauren WakschlagNorthwestern University, Chicago, USA.
Northwestern University · USTemple University · USColumbia University · USUniversity of Florida · USUniversity of Pennsylvania · US

Funding

The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
Health and School Performance Among Youth Ages 9-13R01HD048850 · NICHD · JOHNS HOPKINS UNIVERSITY · PI FORREST, CHRISTOPHER B · 2005 to 2009
$2.8M
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD048850NICHD NIH HHS R01 HD048850NIH HHS U24 OD023319NIH HHS U24OD023319
6 · The paper itself

Abstract

purposeTo identify and evaluate methods for assessing pediatric patient-reported outcome (PRO) data quality at the individual level.

methodsWe conducted a systematic literature review to identify methods for detecting invalid responses to PRO measures. Eight data quality indicators were applied to child-report data collected from 1780 children ages 8-11 years. We grouped children with similar data quality patterns and tested for between-group differences in factors hypothesized to influence self-report capacity.

resultsWe identified 126 articles that described 494 instances in which special measures or statistical techniques were applied to evaluate data quality at the individual level. We identified 22 data quality indicator subtypes: 9 direct methods (require administration of special items) and 13 archival techniques (statistical procedures applied to PRO data post hoc). Application of archival techniques to child-report PRO data revealed 3 distinct patterns (or classes) of the data quality indicators. Compared to class 1 (56%), classes 2 (36%) and 3 (8%) had greater variation in their PRO item responses. Three archival indicators were especially useful for differentiating plausible item response variation (class 2) from statistically unlikely response patterns (class 3). Neurodevelopmental conditions, which are associated with a range of cognitive processing challenges, were more common among children in class 3.

conclusionA multi-indicator approach is needed to identify invalid PRO responses. Once identified, assessment environments and measurement tools should be adapted to best support these individuals' self-report capacity. Individual-level data quality indicators can be used to gauge the effectiveness of these accommodations.

Indexed as

Patient Reported Outcome MeasuresChildData AccuracyHumansQuality of LifeSelf ReportData qualityPatient-reported outcome measuresPediatricSelf-report capacity

Identifiers

PMID31900764
PMCPMC7316261
OpenAlexW2998595330

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.