Self-questionnaire in Osteoporosis

May 5, 2026 updated by: CHU de Quebec-Universite Laval

Clinical Validation of a Self-questionnaire in Adults With Osteoporosis

Osteoporosis is a multifactorial disease in which genetic predispositions play a key role in its development. A better understanding of family history and clinical manifestations among first- and second-degree relatives can help improve early detection and personalized care for at-risk patients. To this end, we will test a self-administered questionnaire previously developed by our research team. This questionnaire includes the main manifestations associated with rare genetic bone diseases such as osteogenesis imperfecta, hypophosphatasia, and osteopetrosis.

Study Overview

Status

Recruiting

Conditions

Detailed Description

The main objective of this project is to test the validity of this new self-administered questionnaire, by studying the concordance between its answers and those obtained from a patient's family tree by telephone.

Primary Objective: To test the validity of a self-administered questionnaire to facilitate the identification of rare genetic bone diseases in adults with osteoporosis.

Secondary Objectives: To adapt the self-administered questionnaire to increase the accuracy of responses compared to those obtained using a family tree, with the aim of using it for clinical screening of rare genetic bone diseases in adults.

Data collection:

Sociodemographic data (age, sex, ethnicity, body mass index, menopausal status, smoking, alcohol consumption, physical activity, history of falls in the past year) and clinical data will be collected from participants' electronic medical records at the CHU de Québec-Université Laval (age at osteoporosis diagnosis, history of osteoporotic fractures, osteoporosis risk category based on the most recent bone density scan, calcium and/or vitamin D supplement use, history of anti-osteoporosis medications, presence of comorbidities, use of prednisone or antihormonal medications) to describe the participants and the severity of their osteoporosis. Other data collection will be conducted in two stages. First, recruited patients will be randomized to either begin with the self-administered questionnaire or the family tree. Then, 3 months later, the people who started with the questionnaire will be able to do the interview for the family tree and vice versa.

Randomization: For this collection, a balanced block randomization will be used to randomly assign patients to one of the two assessment administration sequences. This approach, which corresponds to a crossover design with sequence randomization, will balance order effects and ensure a similar distribution in each sequence. In addition, the use of blocks (of size 4) will ensure that the balance between the two conditions is maintained throughout the recruitment period.

Statistical analyzes:

Descriptive statistics will first be performed to characterize the participants (age, sex, number of first- and second-degree relatives, as well as the clinical manifestations detailed in the self-administered questionnaire) and to report, based on the relationship, the frequency of different clinical manifestations in relatives. In this study, the pedigree will serve as the gold standard to describe the presence or absence of familial bone disease, specifying the degree of affected kinship, the type of inheritance, and the most likely diagnosis (e.g., hypophosphatesia, osteogenesis imperfecta, etc.). The concordance between the responses provided by the self-administered questionnaire and the information from the pedigree will be primarily assessed by calculating the kappa coefficient. This analysis will constitute the primary statistical approach of the study. In addition, secondary analyses will be conducted to determine the sensitivity and specificity of the self-administered questionnaire compared to the gold standard. These measurements will make it possible to evaluate the diagnostic performance of the tool developed in the detection of familial bone disease.

Sample size calculation: The agreement between the two assessment tools will be based mainly on questions with three response categories (Yes, No, Don't know) with respective frequencies assumed to be (0.1, 0.3 and 0.6). The objective being to test whether the agreement, measured by the kappa coefficient, exceeds the threshold of 0.7 (H0: Kappa ≤ 0.7 versus H1: Kappa > 0.7), the comparison will be carried out using a one-sided Z-test for kappa, setting the type I error rate (α) at 0.05. To detect a kappa coefficient of 0.9 with a power of 80%, it is necessary to recruit 58 patients. The sample size was calculated using PASS 2024 software, version 24.0.2.

Study Type

Observational

Enrollment (Estimated)

58

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Quebec
      • Québec, Quebec, Canada, G1V4G2
        • Recruiting
        • CHU de Québec-Université Laval
        • Contact:
        • Principal Investigator:
          • Laetitia Michou, MD PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Adults followed at the rheumatology and endocrinology clinic of the CHUL in Quebec

Description

Inclusion Criteria:

  • Adult over 18
  • Followed by the rheumatology or endocrinology clinics at the CHUL (CHU de Quebec-Universite Laval)
  • Suffer from osteoporosis
  • Have internet access

Exclusion Criteria:

  • Unfit, unable to consent, unable to answer a questionnaire, unknown family history (e.g. adopted person)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Group starting with the self-administered questionnaire followed by the family tree and vice versa
Recruited patients will be randomized to either start with the self-administered questionnaire or the family tree. Then, 3 months later, those who started with the questionnaire will be able to do the interview for the family tree and vice versa.
The self-administered questionnaire was previously prepared by the research team for another project. It includes 14 questions addressing the dentition, fractures, joint hypermobility, height, and eye abnormalities present in the participants or their relatives. This questionnaire covers the clinical manifestations of rare bone diseases such as osteogenesis imperfecta, pycnodysostosis, hypophosphatasia, and osteopetrosis. This self-administered questionnaire will be filled online by participant. Average completion time of 20 minutes.
For the family tree, this step is done by a telephone interview lasting a maximum of 45 minutes, depending on the size of the participant's family. The researcher will be able to reconstruct the family history with the index case. The family tree will then contain the family history up to the second degree of kinship with respect to the index cases. The information collected through the index cases when creating the family tree must include, for each relative, biological sex, as well as information on the presence or absence of a rare or genetic bone disease and clinical signs associated with these diseases, such as short stature, bone deformities, deafness, eye problems, etc.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Concordance between the results of the self-questionnaire compared to those obtained by a family tree.
Time Frame: 3 months

Descriptive statistics will first be performed to characterize the participants (age, sex, number of first- and second-degree relatives, as well as the clinical manifestations detailed in the self-administered questionnaire) and to report, based on the relationship, the frequency of different clinical manifestations in relatives. In this study, the pedigree will serve as the gold standard for describing the presence or absence of familial bone disease, specifying the degree of affected kinship, the type of inheritance, and the most likely diagnosis (e.g., hypophosphatasia, osteogenesis imperfecta, etc.).

The concordance between the responses provided by the self-administered questionnaire and the information from the pedigree will be primarily assessed by calculating the kappa coefficient. This analysis will constitute the main statistical approach of the study.

3 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Laetitia Michou, MD PhD, CHU de Québec-Université Laval

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 1, 2026

Primary Completion (Estimated)

July 31, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

July 7, 2025

First Submitted That Met QC Criteria

July 7, 2025

First Posted (Actual)

July 16, 2025

Study Record Updates

Last Update Posted (Actual)

May 8, 2026

Last Update Submitted That Met QC Criteria

May 5, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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