Investigating child self-report capacity: a systematic review and utility analysis.
Purpose: To identify and evaluate methods for assessing pediatric patient-reported outcome (PRO) data quality at the individual level.Methods: We conducted a systematic literature review to identify methods for detecting invalid responses to PRO measures. Eight data quality indicators were applied t...
| Publicado en: | Quality of Life Research Vol. 29; no. 5; pp. 1147 - 1159 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142973601&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142973601 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: May2020 vid: 29 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142973601 142973601 NLM31900764 10.1007/s11136-019-02387-3 NLM31900764 142973601 ppf: 1147 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Investigating child self-report capacity: a systematic review and utility analysis. aug: au: Bevans, Katherine B. Ahuvia, Isaac L. Hallock, Taye M. Mendonca, Rochelle Roth, Stephanie Forrest, Christopher B. Blackwell, Courtney Kramer, Jessica Wakschlag, Lauren affil: College of Public Health, Temple University, 1913 N Broad Street, 19122-6092, Philadelphia, PA, USA sug: subj: Quality of Life Psychosocial Factors Child Self Report Ferrans and Powers Quality of Life Index Child: 6-12 years ab: Purpose: To identify and evaluate methods for assessing pediatric patient-reported outcome (PRO) data quality at the individual level.Methods: We 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.Results: We 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.Conclusion: A 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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