NCT06918392

Brief Summary

A questionnaire that can measure disease severity from the patients perspective in patients with pectus excavatum already exists in English (Pectus Excavatum Evaluation Questionnaire; PEEQ). This questionnaire was recently translated into Dutch. Before this Dutch version can be used, it needs to be tested by a number of patients. Data will be collected at three moments:

  1. 1.Preoperatively: The PEEQ will be completed on paper during the outpatient clinic visit.
  2. 2.Postoperatively: The PEEQ will be completed electronically 2 months post-surgery.
  3. 3.Test-retest reliability: The PEEQ will be administered electronically at least two weeks after a previous assessment.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
66

participants targeted

Target at P25-P50 for all trials

Timeline
6mo left

Started Dec 2021

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress89%
Dec 2021Nov 2026

Study Start

First participant enrolled

December 15, 2021

Completed
3.3 years until next milestone

First Submitted

Initial submission to the registry

March 24, 2025

Completed
16 days until next milestone

First Posted

Study publicly available on registry

April 9, 2025

Completed
1.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 30, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 30, 2026

Last Updated

March 25, 2026

Status Verified

March 1, 2026

Enrollment Period

5 years

First QC Date

March 24, 2025

Last Update Submit

March 23, 2026

Conditions

Outcome Measures

Primary Outcomes (5)

  • Structural validity

    A Kaiser-Meyer-Olkin (KMO) test and Bartlett's test of sphericity are performed to assess the adequacy of patient sampling before performing further structural tests. Threshold values of ≥ 0.70 in KMO test and p \< 0.05 in Bartlett's test of sphericity indicate the suitability of the collected data for factor analysis (6,7). Exploratory factor analysis (EFA), using principal axis factoring and a promax rotation method, will be conducted to identify the underlying factor structure for both the child and parent sections (8,9). These factor structures will later be subjected to confirmatory factor analysis (CFA), using polychoric correlations and robust maximum likelihood estimation, to evaluate the validity of the structures derived from EFA (8,10). Within EFA, the Kaiser criterion (eigenvalue \> 1), explained variance (≥50%), and interpretability principle will be applied to determine the number of factors to be retained. Squared multiple correlations are used to compute the communality

    Pre-operative assessment of pectus excavatum evaluation questionnaire at the outpatient clinic visit. Minimum score of this questionnaire is 22, maximum score is 88, a higher score indicates a lower disease-related quality of life.

  • Internal consistency

    Cronbach's alpha coefficient, a measure of internal consistency, will be calculated for each subscale. A value \> .70 indicates sufficient reliability of the questionnaire for application at the group level, while a value \> .90 implies suitability for individual assessment

    Pre-operative assessment of pectus excavatum evaluation questionnaire at the outpatient clinic visit. Minimum score of this questionnaire is 22, maximum score is 88, a higher score indicates a lower disease-related quality of life.

  • Test-retest reliability

    Test-retest reliability for each subscale will be evaluated using a two-way mixed-effects model for the intraclass correlation coefficient (ICC), type (3.1), with 95% confidence intervals reported (CI) (15). The strength of agreement will be interpreted following the guideline provided by Cicchetti (1994) (16): \< 0.40 = poor, 0.40-0.59 = fair, 0.60-0.74 = good, 0.75-1.00 = excellent. For individual items, quadratic weighted Cohen's kappa will be calculated along with its 95% to identify problematic items, with interpretation based on the standards proposed by Landis and Koch (1977) (17): \<0 = poor, 0.01-0.20 = slight, 0.21-0.40 = fair, 0.41-0.60 = moderate, 0.61-0.80 = substantial, and 0.81-.001 = almost perfect.

    Pre-operative assessment of pectus excavatum evaluation questionnaire OR the 2 months postoperative assessment will be used as a baseline. Another assessment wil be performed minimally 2 weeks after one of the aforementioned assessments.

  • Responsiveness

    The responsiveness of the questionnaire will be determined using the construct approach in which preoperative and postoperative scores are compared using a paired t-test or Wilcoxon signed-rank test for skewed data. The effect size will be expressed in Cohen's d and is calculated as the mean difference divided by the standard deviation of the difference. We hypothesize that the total score on the PEEQ and mean scores per subscale improve after surgical correction of the pectus excavatum deformity as demonstrated by the original questionnaire (2,3). Responsiveness of individual items will be evaluated using a paired t-test or Wilcoxon signed-rank test, as appropriate, to guide further item refinement.

    re-operative assessment of pectus excavatum evaluation questionnaire at the outpatient clinic visit. Minimum score of this questionnaire is 22, maximum score is 88, a higher score indicates a lower disease-related quality of life.

  • Smallest detectable change

    The standard error of measurement (SEM) quantifies the precision of the scores across different time points and is calculated as (18): SEM = squareroot of MSE Where: · Mean square error (MSE) is the error term obtained from repeated measures ANOVA The SDC represents the minimum change in points a patient must score on the questionnaire over time to ensure the observed change reflects a real change and not a measurement error. The SDC is expressed in points on the PEEQ and will be calculated for the mean scores per subscale, and the total scores of the child's section, parent's section and entire questionnaire. The SDC at a 95% confidence level will be calculated as (18): SDC = 1.96 x square root of 2 x SEM Where: * 1.96 is the z-score corresponding to a 95% confidence level * square root of 2 x SEM accounts for the error variance from both time points

    Pre-operative assessment of pectus excavatum evaluation questionnaire and two months postoperative assessment. Minimum score of this questionnaire is 22, maximum score is 88, a higher score indicates a lower disease-related quality of life.

Secondary Outcomes (1)

  • Floor and ceiling effects

    Pre-operative assessment of pectus excavatum evaluation questionnaire and two months postoperative assessment. Minimum score of this questionnaire is 22, maximum score is 88, a higher score indicates a lower disease-related quality of life.

Study Arms (1)

Pectus excavatum patients

pectus excavatum patients aged 12 to 18 years old who are scheduled for a Nuss procedure, and their parents or legal guardians.

Eligibility Criteria

Age12 Years - 18 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodNon-Probability Sample
Study Population

Participants will be identified and enrolled during their preoperative visit at the outpatient clinic of Zuyderland Medical Center by a member of the research team.

You may qualify if:

  • Eligible participants will be pectus excavatum patients aged 12 to 18 years old who are scheduled for a Nuss procedure. Parents or legal guardians will also be invited to complete the parent section of the PEEQ.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Zuyderland Medical Center

Heerlen, Netherlands

RECRUITING

Related Publications (20)

  • Janssen N, Daemen JHT, van Polen EJ, Coorens NA, Jansen YJL, Franssen AJPM, Hulsewe KWE, Vissers YLJ, Haecker FM, Milanez de Campos JR, de Loos ER; Chest Wall International Group Collaborator Group. Pectus Excavatum: Consensus and Controversies in Clinical Practice. Ann Thorac Surg. 2023 Jul;116(1):191-199. doi: 10.1016/j.athoracsur.2023.02.059. Epub 2023 Mar 29.

    PMID: 36997016BACKGROUND
  • Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, Bouter LM, de Vet HC. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007 Jan;60(1):34-42. doi: 10.1016/j.jclinepi.2006.03.012. Epub 2006 Aug 24.

    PMID: 17161752BACKGROUND
  • Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977 Mar;33(1):159-74.

    PMID: 843571BACKGROUND
  • Cicchetti D V. Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychol Assess. 1994;6:284-90.

    BACKGROUND
  • Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979 Mar;86(2):420-8. doi: 10.1037//0033-2909.86.2.420.

    PMID: 18839484BACKGROUND
  • Fayers PM. Quality of life : The assessment, analysis, and reporting of patient-reported outcomes. 3rd ed. Chichester: Wiley Blackwell; 2016.

    BACKGROUND
  • Schreiber JB, Nora A, Stage FK, Barlow EA, King J. Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. J Educ Res. 2006;99:323-38

    BACKGROUND
  • Kline P. An Easy Guide to Factor Analysis. 1st ed. New York: Routledge; 2014.

    BACKGROUND
  • Pituch KASJ. Applied multivariate statistics for the social sciences: Analyses with SAS and IBM's SPSS. 6th ed. New York: Routledge; 2016.

    BACKGROUND
  • Holgado-Tello FP, Chacón-Moscoso S, Barbero-García I, Vila-Abad E. Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Qual Quant. 2010;44:153-66.

    BACKGROUND
  • Osborne JW, Costello AB. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical assessment, research and evaluation. 2005;10:1-9.

    BACKGROUND
  • Brown T. Confirmatory factor analysis for applied research. 2nd ed. New York: Guilford Press; 2015.

    BACKGROUND
  • Hoelzle JB, J. Meyer G. Exploratory Factor Analysis: Basics and Beyond. In: Handbook of Psychology, 2nd ed. New York: Wiley; 2012.

    BACKGROUND
  • Watkins MW. Exploratory Factor Analysis: A Guide to Best Practice. Journal of Black Psychology. 2018;44:219-46.

    BACKGROUND
  • Mokkink L, Prinsen C, Patrick D, et al. COSMIN Study Design checklist for Patient-reported outcome measurement instruments. 2019. Available online: https://www.cosmin.nl/wp-content/uploads/COSMIN-study-designing-checklist_final.pdf.

    BACKGROUND
  • Janssen N, Daemen JHT, van Polen EJ, Jansen YJL, Hulsewe KWE, Vissers YLJ, de Loos ER. Translation, cultural adaptation and linguistic validation of the pectus excavatum evaluation questionnaire. J Thorac Dis. 2022 Jul;14(7):2556-2564. doi: 10.21037/jtd-22-252.

    PMID: 35928622BACKGROUND
  • Kelly RE Jr, Cash TF, Shamberger RC, Mitchell KK, Mellins RB, Lawson ML, Oldham K, Azizkhan RG, Hebra AV, Nuss D, Goretsky MJ, Sharp RJ, Holcomb GW 3rd, Shim WK, Megison SM, Moss RL, Fecteau AH, Colombani PM, Bagley T, Quinn A, Moskowitz AB. Surgical repair of pectus excavatum markedly improves body image and perceived ability for physical activity: multicenter study. Pediatrics. 2008 Dec;122(6):1218-22. doi: 10.1542/peds.2007-2723.

    PMID: 19047237BACKGROUND
  • Lawson ML, Cash TF, Akers R, Vasser E, Burke B, Tabangin M, Welch C, Croitoru DP, Goretsky MJ, Nuss D, Kelly RE Jr. A pilot study of the impact of surgical repair on disease-specific quality of life among patients with pectus excavatum. J Pediatr Surg. 2003 Jun;38(6):916-8. doi: 10.1016/s0022-3468(03)00123-4.

    PMID: 12778393BACKGROUND
  • Mohamed JS, Tan JW, Tam JKC. Quality of life with minimally invasive repair of pectus excavatum: a systematic review and meta-analysis. Ann Transl Med. 2023 Dec 20;11(12):407. doi: 10.21037/atm-23-1647. Epub 2023 Dec 6.

    PMID: 38213813BACKGROUND
  • Janssen N, van Polen EJ, Daemen JHT, Franssen AJPM, Winkens B, Hulsewe KWE, Vissers YLJ, de Loos ER. Protocol for the field-test and psychometric validation of the pectus excavatum evaluation questionnaire in the Dutch pectus excavatum population. Transl Pediatr. 2025 Apr 30;14(4):694-699. doi: 10.21037/tp-2024-616. Epub 2025 Apr 27.

MeSH Terms

Conditions

Funnel Chest

Condition Hierarchy (Ancestors)

Bone Diseases, DevelopmentalBone DiseasesMusculoskeletal DiseasesMusculoskeletal AbnormalitiesCongenital AbnormalitiesCongenital, Hereditary, and Neonatal Diseases and Abnormalities

Central Study Contacts

Erik R de Loos, MD, PhD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Thoracic surgeon

Study Record Dates

First Submitted

March 24, 2025

First Posted

April 9, 2025

Study Start

December 15, 2021

Primary Completion (Estimated)

November 30, 2026

Study Completion (Estimated)

November 30, 2026

Last Updated

March 25, 2026

Record last verified: 2026-03

Data Sharing

IPD Sharing
Will share
Shared Documents
STUDY PROTOCOL, SAP, ICF
Time Frame
trough publication in a peer-reviewed journal

Locations