Bryan L Riemann1, Monica R Lininger2. 1. Department of Health Sciences, Georgia Southern University, Savannah. 2. Athletic Training Education Program, Northern Arizona University, Flagstaff.
Abstract
OBJECTIVE: To describe the concepts of measurement reliability and minimal important change. BACKGROUND: All measurements have some magnitude of error. Because clinical practice involves measurement, clinicians need to understand measurement reliability. The reliability of an instrument is integral in determining if a change in patient status is meaningful. DESCRIPTION: Measurement reliability is the extent to which a test result is consistent and free of error. Three perspectives of reliability-relative reliability, systematic bias, and absolute reliability-are often reported. However, absolute reliability statistics, such as the minimal detectable difference, are most relevant to clinicians because they provide an expected error estimate. The minimal important difference is the smallest change in a treatment outcome that the patient would identify as important. RECOMMENDATIONS: Clinicians should use absolute reliability characteristics, preferably the minimal detectable difference, to determine the extent of error around a patient's measurement. The minimal detectable difference, coupled with an appropriately estimated minimal important difference, can assist the practitioner in identifying clinically meaningful changes in patients.
OBJECTIVE: To describe the concepts of measurement reliability and minimal important change. BACKGROUND: All measurements have some magnitude of error. Because clinical practice involves measurement, clinicians need to understand measurement reliability. The reliability of an instrument is integral in determining if a change in patient status is meaningful. DESCRIPTION: Measurement reliability is the extent to which a test result is consistent and free of error. Three perspectives of reliability-relative reliability, systematic bias, and absolute reliability-are often reported. However, absolute reliability statistics, such as the minimal detectable difference, are most relevant to clinicians because they provide an expected error estimate. The minimal important difference is the smallest change in a treatment outcome that the patient would identify as important. RECOMMENDATIONS: Clinicians should use absolute reliability characteristics, preferably the minimal detectable difference, to determine the extent of error around a patient's measurement. The minimal detectable difference, coupled with an appropriately estimated minimal important difference, can assist the practitioner in identifying clinically meaningful changes in patients.
Authors: Dan Turner; Holger J Schünemann; Lauren E Griffith; Dorcas E Beaton; Anne M Griffiths; Jeffrey N Critch; Gordon H Guyatt Journal: J Clin Epidemiol Date: 2009-10-01 Impact factor: 6.437
Authors: Henrica C W de Vet; Berend Terluin; Dirk L Knol; Leo D Roorda; Lidwine B Mokkink; Raymond W J G Ostelo; Erik J M Hendriks; Lex M Bouter; Caroline B Terwee Journal: J Clin Epidemiol Date: 2009-06-21 Impact factor: 6.437
Authors: Rodney Negrete; Samantha Simms; Jacob Gross; Lucas Nunes Rabello; Matt Hixon; Ibrahim M Zeini; Walter L Jenkins; George J Davies Journal: Int J Sports Phys Ther Date: 2021-06-01