PMID- 37970301
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231117
IS  - 0972-2327 (Print)
IS  - 1998-3549 (Electronic)
IS  - 0972-2327 (Linking)
VI  - 26
IP  - 4
DP  - 2023 Jul-Aug
TI  - Minimal Clinically Important Difference (MCID) in Patient-Reported Outcome 
      Measures for Neurological Conditions: Review of Concept and Methods.
PG  - 334-343
LID - 10.4103/aian.aian_207_23 [doi]
AB  - The concept of the minimal clinically important difference (MCID) emerged from 
      the recognition that statistical significance alone is not enough to determine 
      the clinical relevance of treatment effects in clinical research. In many cases, 
      statistically significant changes in outcomes may not be meaningful to patients 
      or may not result in any tangible improvements in their health. This has led to a 
      growing emphasis on the importance of measuring patient-reported outcome measures 
      (PROMs) in clinical trials and other research studies, in order to capture the 
      patient perspective on treatment effectiveness. MCID is defined as the smallest 
      change in scores that is considered meaningful or important to patients. MCID is 
      particularly important in fields such as neurology, where many of the outcomes of 
      interest are subjective or based on patient-reported symptoms. This review 
      discusses the challenges associated with interpreting outcomes of clinical trials 
      based solely on statistical significance, highlighting the importance of 
      considering clinical relevance and patient perception of change. There are two 
      main approaches to estimating MCID: anchor-based and distribution-based. 
      Anchor-based approaches compare change scores using an external anchor, while 
      distribution-based approaches estimate MCID values based on statistical 
      characteristics of scores within a sample. MCID is dynamic and context-specific, 
      and there is no single 'gold standard' method for estimating it. A range of MCID 
      thresholds should be defined using multiple methods for a disease under targeted 
      intervention, rather than relying on a single absolute value. The use of MCID 
      thresholds can be an important tool for researchers, neurophysicians and patients 
      in evaluating the effectiveness of treatments and interventions, and in making 
      informed decisions about care.
CI  - Copyright: (c) 2023 Annals of Indian Academy of Neurology.
FAU - Mishra, Biswamohan
AU  - Mishra B
AD  - Department of Neurology, All India Institute of Medical Sciences, New Delhi, 
      India.
FAU - Sudheer, Pachipala
AU  - Sudheer P
AD  - Department of Neurology, All India Institute of Medical Sciences, New Delhi, 
      India.
FAU - Agarwal, Ayush
AU  - Agarwal A
AD  - Department of Neurology, All India Institute of Medical Sciences, New Delhi, 
      India.
FAU - Srivastava, M Vasantha Padma
AU  - Srivastava MVP
AD  - Department of Neurology, All India Institute of Medical Sciences, New Delhi, 
      India.
FAU - Nilima
AU  - Nilima
AD  - Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, 
      India.
FAU - Vishnu, Venugopalan Y
AU  - Vishnu VY
AD  - Department of Neurology, All India Institute of Medical Sciences, New Delhi, 
      India.
LA  - eng
PT  - Journal Article
DEP - 20230612
PL  - India
TA  - Ann Indian Acad Neurol
JT  - Annals of Indian Academy of Neurology
JID - 101273955
PMC - PMC10645230
OTO - NOTNLM
OT  - Anchor-based methods
OT  - Rasch model
OT  - clinical relevance
OT  - distribution-based methods
OT  - minimal clinical important difference (MCID)
OT  - minimal clinically important change
OT  - neurology
OT  - patient-reported outcome measures (PROMs)
COIS- There are no conflicts of interest.
EDAT- 2023/11/16 06:45
MHDA- 2023/11/16 06:46
PMCR- 2023/07/01
CRDT- 2023/11/16 04:29
PHST- 2023/03/10 00:00 [received]
PHST- 2023/04/29 00:00 [revised]
PHST- 2023/05/10 00:00 [accepted]
PHST- 2023/11/16 06:46 [medline]
PHST- 2023/11/16 06:45 [pubmed]
PHST- 2023/11/16 04:29 [entrez]
PHST- 2023/07/01 00:00 [pmc-release]
AID - AIAN-26-334 [pii]
AID - 10.4103/aian.aian_207_23 [doi]
PST - ppublish
SO  - Ann Indian Acad Neurol. 2023 Jul-Aug;26(4):334-343. doi: 
      10.4103/aian.aian_207_23. Epub 2023 Jun 12.