Muthu S, Vadranapu S. Variations in quantifying patient reported outcome measures to estimate treatment effect. World J Methodol 2025; 15(2): 97078 [DOI: 10.5662/wjm.v15.i2.97078]
Corresponding Author of This Article
Sathish Muthu, MBBS, DNB, MS, PhD, Department of Orthopaedics, Orthopaedic Research Group, Ramanathapuram, Coimbatore 641045, Tamil Nadu, India. drsathishmuthu@gmail.com
Research Domain of This Article
Orthopedics
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Methodol. Jun 20, 2025; 15(2): 97078 Published online Jun 20, 2025. doi: 10.5662/wjm.v15.i2.97078
Variations in quantifying patient reported outcome measures to estimate treatment effect
Sathish Muthu, Srujun Vadranapu
Sathish Muthu, Department of Orthopaedics, Orthopaedic Research Group, Coimbatore 641045, Tamil Nadu, India
Sathish Muthu, Department of Orthopaedics, Government Medical College, Karur 639004, Tamil Nadu, India
Sathish Muthu, Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore 641021, Tamil Nadu, India
Srujun Vadranapu, Department of Orthopaedics, Royal Care Super Speciality Hospital, Coimbatore 641062, Tamil Nadu, India
Author contributions: Muthu S performed the conceptualization, data curation, data analysis, manuscript writing, and revision of the manuscript; Vadranapu S performed the data analysis, manuscript writing, and revision of the manuscript.
Conflict-of-interest statement: The authors declare no conflict of interest.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Sathish Muthu, MBBS, DNB, MS, PhD, Department of Orthopaedics, Orthopaedic Research Group, Ramanathapuram, Coimbatore 641045, Tamil Nadu, India. drsathishmuthu@gmail.com
Received: May 22, 2024 Revised: October 13, 2024 Accepted: November 6, 2024 Published online: June 20, 2025 Processing time: 189 Days and 6.4 Hours
Core Tip
Core Tip: In health care, patient-reported outcomes and patient-reported outcome measures (PROMs) help track changes in complex clinical situations. They provide evidence-based guidance for patient care by showing how a treatment affects a specific condition and if the patient benefits from it. For PROMs to be useful, they must be reliable and able to detect real changes. Regular use of structured outcome measures helps doctors understand a patient's limitations better than just an office interview. This allows for meaningful discussions and personalized treatment plans. Understanding how to measure treatment effects with PROMs is crucial, as there are many different metrics, often used interchangeably. This article explains these metrics, their limitations, and their practical use in healthcare.
