100929-9
SurveysDigital confidence score [R-Outcomes]
Definition
Each level is indicated using a traffic-light metaphor with written labels, color, position and emojis. For individuals, each item response level is scored on a 0-3 ordinal scale, with strongly agree = 3, agree = 2, neutral = 1, and disagree = 0. A summary score is calculated by adding the item scores for each item and giving a scale from 0 to 12. A summary score is not calculated if any item scores are missing. For cohorts, mean scores are shown on a 0 to 100 scale. Item scores are multiplied by 100 and divided by 3; summary scores are multiplied by 100 and divided by 12. Mean scores are usually rounded to the nearest whole number [PMID: 32198234].
LOINC 6-Axis Classification
Component
Digital confidence score
Property
Score
Time Aspect
Pt
System
^Patient
Scale Type
Qn
Method Type
R-Outcomes
Details
Class
SURVEY.R-OUTCOMES
Order/Observation
Observation
Related Names
Frequently Asked Questions
What is LOINC code 100929-9?
LOINC code 100929-9 identifies "Digital confidence score [R-Outcomes]". Each level is indicated using a traffic-light metaphor with written labels, color, position and emojis. For individuals, each item response level is scored on a 0-3 ordinal scale, with strongly agree = 3, agree = 2, neutral = 1, and disagree = 0. A summary score is calculated by adding the item scores for each item and giving a scale from 0 to 12. A summary score is not calculated if any item scores are missing. For cohorts, mean scores are shown on a 0 to 100 scale. Item scores are multiplied by 100 and divided by 3; summary scores are multiplied by 100 and divided by 12. Mean scores are usually rounded to the nearest whole number [PMID: 32198234].
What does 100929-9 measure?
This code measures Digital confidence score in ^Patient. It belongs to the SURVEY.R-OUTCOMES class in the LOINC classification.
What is LOINC?
LOINC (Logical Observation Identifiers Names and Codes) is a universal standard for identifying laboratory and clinical observations. It is maintained by the Regenstrief Institute and used worldwide for health data exchange.