BACKGROUND: Some pulse oximeters perform worse in people with darker skin, and this may be due to inadequate diversity of skin pigment in device development study cohorts. Guidance is needed to accurately and equitably characterize skin pigment to ensure diversity in research cohorts. We tested multiple methods for characterizing skin pigment to assess comparability and impact on cohort diversity. OBJECTIVES: Assess reliability and comparability of common skin pigment measurement methodsCompare findings from different anatomical sitesDemonstrate that pigment cannot be assumed from US National Institutes for Health (NIH) race categories. METHODS: We used three subjective methods (perceived Fitzpatrick pFP, Monk Skin Tone MST and Von Luschan VL) and two objective methods (Konica Minolta CM-700d spectrophotometer and Delfin Skin Color Catch DSCC colorimeter) for individual typology angle (ITA), across multiple measurement sites in adults. We calculated ΔE to estimate operator perceptibility thresholds for subjective methods and to determine reproducibility for objective methods. We used each method to categorize participants as 'light, medium, or dark' and compared the impact of method selection on cohort diversity. RESULTS: We studied 789 participants, with 33,856 assessments. The MST had the widest luminosity range, and VL had the least discernible adjacent categories. With 'dark' defined as ITA <
-30°, 14% of participants were categorized 'dark' as compared to 26% by pFP or 16% by MST. Approximately half of the 'dark' cohort had an ITA <
-50°. With an ITA threshold <
-50°, only 7% of the cohort was categorized as 'dark.' When 'Black or African American' self-identification was used to define 'dark', 23% of the cohort was categorized as such. Each self-assigned NIH race category included a wide range of ITA and subjective scale categories. Both ITA and L* from the KM-700d and DSCC demonstrated strong correlation (ρ >
0.7). CONCLUSION: Common methods for skin pigment characterization, especially the use of race or subjective scales, have significant limitations. When applied to the same cohort, different methods yield significantly different results, and some may overestimate diversity. Previously published ITA thresholds for defining 'dark' skin are too light and lead to underrepresentation of people with darker skin.