Literature DB >> 30157687

Measurement Equivalence of Patient-Reported Outcome Measures Migrated to Electronic Formats: A Review of Evidence and Recommendations for Clinical Trials and Bring Your Own Device.

Bill Byrom1, Chad Gwaltney2, Ashley Slagle3, Ari Gnanasakthy4, Willie Muehlhausen5.   

Abstract

A growing number of clinical trials employ electronic media, in particular smartphones and tablets, to collect patient-reported outcome data. This is driven by the ubiquity of the technology, and an increased awareness of associated improvements in data integrity, quality and timeliness. Despite this, there remains a lingering question relating to the measurement equivalence of an instrument when migrated from paper to a screen-based format. As a result, researchers often must provide evidence demonstrating the measurement equivalence of paper and electronic versions, such as that recommended by the ISPOR ePRO Good Research Practices Task Force. In the last decade, a considerable body of work has emerged that overwhelmingly supports the measurement equivalence of instruments using screen-based electronic formats. Our review of key works derives recommendations on evidence needed to support electronic implementation. We recommend application of best practice recommendations is sufficient to conclude measurement equivalence with paper PROMs. In addition, we recommend that previous usability evidence in a representative group is sufficient, as opposed to per-study testing. Further, we conclude that this also applies to studies using multiple screen-based devices, including bring-your-own-device, if a minimum device specification can be ensured and the instrument is composed of standard response scale types.

Entities:  

Keywords:  BYOD; measurement equivalence; patient-reported outcomes; ePRO

Mesh:

Year:  2018        PMID: 30157687     DOI: 10.1177/2168479018793369

Source DB:  PubMed          Journal:  Ther Innov Regul Sci        ISSN: 2168-4790            Impact factor:   1.778


  5 in total

1.  Regulatory Acceptance of Patient-Reported Outcome (PRO) Data from Bring-Your-Own-Device (BYOD) Solutions to Support Medical Product Labeling Claims : Let's Share the Success Stories to Move the Industry Forward.

Authors:  Florence D Mowlem; Pamela Tenaerts; Chad Gwaltney; Ingrid Oakley-Girvan
Journal:  Ther Innov Regul Sci       Date:  2022-05-09       Impact factor: 1.337

2.  Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint.

Authors:  Ieuan Clay; Francesca Cormack; Szymon Fedor; Luca Foschini; Giovanni Gentile; Chris van Hoof; Priya Kumar; Florian Lipsmeier; Akane Sano; Benjamin Smarr; Benjamin Vandendriessche; Valeria De Luca
Journal:  J Med Internet Res       Date:  2022-05-26       Impact factor: 7.076

3.  The True Colours Remote Symptom Monitoring System: A Decade of Evolution.

Authors:  Sarah M Goodday; Mary-Jane Attenburrow; Lauren Atkinson; Guy Goodwin; Kate Saunders; Matthew South; Clare Mackay; Mike Denis; Chris Hinds; Jim Davies; James Welch; William Stevens; Karen Mansfield; Juulia Suvilehto; John Geddes
Journal:  J Med Internet Res       Date:  2020-01-15       Impact factor: 5.428

4.  Does scrolling affect measurement equivalence of electronic patient-reported outcome measures (ePROM)? Results of a quantitative equivalence study.

Authors:  Saeid Shahraz; Tan P Pham; Marc Gibson; Marie De La Cruz; Munther Baara; Sachin Karnik; Christopher Dell; Sheryl Pease; Suyash Nigam; Joseph C Cappelleri; Craig Lipset; Patrick Zornow; Jeff Lee; Bill Byrom
Journal:  J Patient Rep Outcomes       Date:  2021-02-27

5.  Premature Ejaculation Among Internet Users Living in the Metropolitan Region of São Paulo, Brazil: A Cross-Sectional Comparison Between the Premature Ejaculation Diagnostic Tool (PEDT) and Patient-Reported Latency Time and Perception.

Authors:  Margareth de Mello Ferreira Dos Reis; Eduardo Augusto Corrêa Barros; Leonardo Monteiro; Cristiano Linck Pazeto; Willy Baccaglini; Sidney Glina
Journal:  Sex Med       Date:  2021-12-08       Impact factor: 2.491

  5 in total

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