» Articles » PMID: 19166601

Cognitive Interviewing Methodology in the Development of a Pediatric Item Bank: a Patient Reported Outcomes Measurement Information System (PROMIS) Study

Overview
Publisher Biomed Central
Specialty Public Health
Date 2009 Jan 27
PMID 19166601
Citations 139
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The evaluation of patient-reported outcomes (PROs) in health care has seen greater use in recent years, and methods to improve the reliability and validity of PRO instruments are advancing. This paper discusses the cognitive interviewing procedures employed by the Patient Reported Outcomes Measurement Information System (PROMIS) pediatrics group for the purpose of developing a dynamic, electronic item bank for field testing with children and adolescents using novel computer technology. The primary objective of this study was to conduct cognitive interviews with children and adolescents to gain feedback on items measuring physical functioning, emotional health, social health, fatigue, pain, and asthma-specific symptoms.

Methods: A total of 88 cognitive interviews were conducted with 77 children and adolescents across two sites on 318 items. From this initial item bank, 25 items were deleted and 35 were revised and underwent a second round of cognitive interviews. A total of 293 items were retained for field testing.

Results: Children as young as 8 years of age were able to comprehend the majority of items, response options, directions, recall period, and identify problems with language that was difficult for them to understand. Cognitive interviews indicated issues with item comprehension on several items which led to alternative wording for these items.

Conclusion: Children ages 8-17 years were able to comprehend most item stems and response options in the present study. Field testing with the resulting items and response options is presently being conducted as part of the PROMIS Pediatric Item Bank development process.

Citing Articles

A pilot randomized controlled trial of the iPeer2Peer program in adolescents with sickle cell disease: A mixed method study.

Kelenc L, Wiles B, Nishat F, Lalloo C, Nair A, Eling C J Clin Transl Sci. 2025; 9(1):e18.

PMID: 39911930 PMC: 11795865. DOI: 10.1017/cts.2024.1170.


The MASCC COG-IMPACT: An unmet needs assessment for cancer-related cognitive impairment impact developed by the Multinational Association of Supportive Care in Cancer.

Haywood D, Chan A, Chan R, Baughman F, Dauer E, Dhillon H Support Care Cancer. 2025; 33(2):120.

PMID: 39853439 PMC: 11761510. DOI: 10.1007/s00520-025-09149-7.


Patient-Reported Outcomes Measurement Information System as a Clinical Tool for Capturing the Patient Perspective in Pediatric Inflammatory Bowel Disease: A Narrative Review.

Azevedo S, Lopes A Children (Basel). 2025; 11(12.

PMID: 39767921 PMC: 11674067. DOI: 10.3390/children11121492.


Engaging children and adolescents in the design and conduct of paediatric research.

Bierer B, Koppelman E, Croker A, Hosseinzadeh S, Hovinga C, Joffe S Front Pediatr. 2024; 12:1481754.

PMID: 39600960 PMC: 11588471. DOI: 10.3389/fped.2024.1481754.


The impact of co-occurring chronic pain and mental health symptoms on adolescent functioning, a cross-sectional survey.

Bateman S, Jordan A, Noel M, Loades M, Caes L BMC Psychol. 2024; 12(1):629.

PMID: 39506817 PMC: 11539307. DOI: 10.1186/s40359-024-02126-5.


References
1.
Varni J, Seid M, Kurtin P . PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Med Care. 2001; 39(8):800-12. DOI: 10.1097/00005650-200108000-00006. View

2.
Ravens-Sieberer U, Gosch A, Rajmil L, Erhart M, Bruil J, Duer W . KIDSCREEN-52 quality-of-life measure for children and adolescents. Expert Rev Pharmacoecon Outcomes Res. 2009; 5(3):353-64. DOI: 10.1586/14737167.5.3.353. View

3.
Chan K, Mangione-Smith R, Burwinkle T, Rosen M, Varni J . The PedsQL: reliability and validity of the short-form generic core scales and Asthma Module. Med Care. 2005; 43(3):256-65. DOI: 10.1097/00005650-200503000-00008. View

4.
Varni J, Seid M, Rode C . The PedsQL: measurement model for the pediatric quality of life inventory. Med Care. 1999; 37(2):126-39. DOI: 10.1097/00005650-199902000-00003. View

5.
Jobe J . Cognitive psychology and self-reports: models and methods. Qual Life Res. 2003; 12(3):219-27. DOI: 10.1023/a:1023279029852. View