Collecting clinical data in primary ciliary dyskinesia- challenges and opportunities [version 1; referees: 2 approved]

Israel Amirav, Mary Roduta Roberts, Huda Mussaffi, Avigdor Mandelberg, Yehudah Roth, Revital Abitbul, Anthony Luder, Hannah Blau, Soliman Alkrinawi, Micha Aviram, Marta Ben-Ami, Moshe Rotschild, Lea Bentur, David Shoseyov, Malena Cohen-Cymberknoh, Eitan Kerem, Avraham Avital, Chaim Springer, Avigdor Hevroni, Husein DabbahArnon Elizur, Elie Picard, Shmuel Goldberg, Joseph Rivlin, Galit Livnat, Moran Lavie, Nael Alias, Ruth Soferman, Heike Olbrich, Johanna Raidt, Julia Wallmeier, Claudius Werner, Niki T. Loges, Heymut Omran

Research output: Contribution to journalArticlepeer-review

Abstract

Rationale: Primary ciliary dyskinesia (PCD) is under diagnosed and underestimated. Most clinical research has used some form of questionnaires to capture data but none has been critically evaluated particularly with respect to its end-user feasibility and utility. Objective: To critically appraise a clinical data collection questionnaire for PCD used in a large national PCD consortium in order to apply conclusions in future PCD research. Methods: We describe the development, validation and revision process of a clinical questionnaire for PCD and its evaluation during a national clinical PCD study with respect to data collection and analysis, initial completion rates and user feedback. Results: 14 centers participating in the consortium successfully completed the revised version of the questionnaire for 173 patients with various completion rates for various items. While content and internal consistency analysis demonstrated validity, there were methodological deficiencies impacting completion rates and end-user utility. These deficiencies were addressed resulting in a more valid questionnaire. Conclusions: Our experience may be useful for future clinical research in PCD. Based on the feedback collected on the questionnaire through analysis of completion rates, judgmental analysis of the content, and feedback from experts and end users, we suggest a practicable framework for development of similar tools for various future PCD research.

Original languageEnglish
Article number2031
JournalF1000Research
Volume5
DOIs
StatePublished - 2016

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