Using nationally representative percentiles to interpret PROMIS pediatric measures.
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| Title: | Using nationally representative percentiles to interpret PROMIS pediatric measures. |
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| Authors: | Carle, Adam C. (AUTHOR), Bevans, Katherine B. (AUTHOR), Tucker, Carole A. (AUTHOR), Forrest, Christopher B. (AUTHOR) |
| Source: | Quality of Life Research. Apr2021, Vol. 30 Issue 4, p997-1004. 8p. 3 Charts. |
| Subjects: | Physical mobility, Percentiles, Psychological stress, Quality of life |
| Abstract: | Purpose: This study's aim was to use a representative sample of the US pediatric population to estimate percentiles for several PROMIS pediatric measures: Anger, Anxiety, Depressive Symptoms, Family Relationships, Fatigue, Global Health, Life Satisfaction, Meaning and Purpose, Pain Behavior, Pain Interference, Physical Activity, Physical Function Mobility, Physical Function Upper Extremity, Physical Stress Experiences, Positive Affect, Psychological Stress Experiences, Sleep Disturbance, Sleep Impairment, and Peer Relationships. Methods: We used two separate, nationally representative samples of parents and children aged 5–17 years drawn in different years from the GfK Knowledge Panel, a dual-frame online probability panel. Results: All measures that were developed using a representative sample had a median at or near the expected value of 50. For the other measures, the 50th percentile was often 10 points or more from 50. Several domains had high floors or low ceilings. No domain's percentiles completely corresponded to the percentiles associated with a normal distribution with a mean of 50 and standard deviation of 10. Conclusions: This work allows users to interpret a child's self-reported quality of life relative to children in the US general population. When attempting to evaluate whether a child falls above or below other children in the US, one should use the values presented in this study. In addition, we recommend that users should focus on whether a child's score falls into one of a few broad severity groups rather than on specific percentile scores. [ABSTRACT FROM AUTHOR] |
| Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 149511785 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using nationally representative percentiles to interpret PROMIS pediatric measures. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Carle%2C+Adam+C%2E%22">Carle, Adam C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bevans%2C+Katherine+B%2E%22">Bevans, Katherine B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tucker%2C+Carole+A%2E%22">Tucker, Carole A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Forrest%2C+Christopher+B%2E%22">Forrest, Christopher B.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+of+Life+Research%22">Quality of Life Research</searchLink>. Apr2021, Vol. 30 Issue 4, p997-1004. 8p. 3 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Physical+mobility%22">Physical mobility</searchLink><br /><searchLink fieldCode="DE" term="%22Percentiles%22">Percentiles</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+stress%22">Psychological stress</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+life%22">Quality of life</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: This study's aim was to use a representative sample of the US pediatric population to estimate percentiles for several PROMIS pediatric measures: Anger, Anxiety, Depressive Symptoms, Family Relationships, Fatigue, Global Health, Life Satisfaction, Meaning and Purpose, Pain Behavior, Pain Interference, Physical Activity, Physical Function Mobility, Physical Function Upper Extremity, Physical Stress Experiences, Positive Affect, Psychological Stress Experiences, Sleep Disturbance, Sleep Impairment, and Peer Relationships. Methods: We used two separate, nationally representative samples of parents and children aged 5–17 years drawn in different years from the GfK Knowledge Panel, a dual-frame online probability panel. Results: All measures that were developed using a representative sample had a median at or near the expected value of 50. For the other measures, the 50th percentile was often 10 points or more from 50. Several domains had high floors or low ceilings. No domain's percentiles completely corresponded to the percentiles associated with a normal distribution with a mean of 50 and standard deviation of 10. Conclusions: This work allows users to interpret a child's self-reported quality of life relative to children in the US general population. When attempting to evaluate whether a child falls above or below other children in the US, one should use the values presented in this study. In addition, we recommend that users should focus on whether a child's score falls into one of a few broad severity groups rather than on specific percentile scores. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=149511785 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11136-020-02700-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 997 Subjects: – SubjectFull: Physical mobility Type: general – SubjectFull: Percentiles Type: general – SubjectFull: Psychological stress Type: general – SubjectFull: Quality of life Type: general Titles: – TitleFull: Using nationally representative percentiles to interpret PROMIS pediatric measures. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Carle, Adam C. – PersonEntity: Name: NameFull: Bevans, Katherine B. – PersonEntity: Name: NameFull: Tucker, Carole A. – PersonEntity: Name: NameFull: Forrest, Christopher B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 09629343 Numbering: – Type: volume Value: 30 – Type: issue Value: 4 Titles: – TitleFull: Quality of Life Research Type: main |
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