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. 2022 Jun 11;15:17562848221100946. doi: 10.1177/17562848221100946

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© The Author(s), 2022

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

PMC Copyright notice

Figure 1. — Study Schematic* of the algorithm to identify patients with IBS-C using diagnostic codes, symptom codes, and treatment information.

*Three scenarios that would classify a patient as having IBS-C: Scenarios I and III relate to the United Kingdom only due to the granularity that can be provided by Read codes. Scenario II also applies to Spain and Sweden, where ICD-10 codes are used, which refer more to specific diagnoses than associated symptoms as the Read system provides.

ICD-10, International Classification of Diseases, 10th revision.