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Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study
OBJECTIVES: This study was conducted to assess the validity of recording (and the original diagnostic practice) of type 2 diabetes mellitus at a hospital whose records were integrated to a centralised database (the standardised common data model (CDM) of the Saudi National Pharmacoepidemiologic Data...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032409/ https://www.ncbi.nlm.nih.gov/pubmed/36944455 http://dx.doi.org/10.1136/bmjopen-2022-065468 |
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author | Althunian, Turki Abdulaziz Alrasheed, Meshael M Alnofal, Fatemah A Tafish, Rawan T Mira, Mahmood A Alroba, Raseel A Kirdas, Mohammed W Alshammari, Thamir M |
author_facet | Althunian, Turki Abdulaziz Alrasheed, Meshael M Alnofal, Fatemah A Tafish, Rawan T Mira, Mahmood A Alroba, Raseel A Kirdas, Mohammed W Alshammari, Thamir M |
author_sort | Althunian, Turki Abdulaziz |
collection | PubMed |
description | OBJECTIVES: This study was conducted to assess the validity of recording (and the original diagnostic practice) of type 2 diabetes mellitus at a hospital whose records were integrated to a centralised database (the standardised common data model (CDM) of the Saudi National Pharmacoepidemiologic Database (NPED)). DESIGN: A retrospective single-centre validation study. SETTINGS: Data of the study participants were extracted from the CDM of the NPED (only records of one tertiary care hospital were integrated at the time of the study) between 1 January 2013 and 1 July 2018. PARTICIPANTS: A random sample of patients with type 2 diabetes mellitus (≥18 years old and with a code of type 2 diabetes mellitus) matched with a control group (patients without diabetes) based on age and sex. OUTCOME MEASURES: The standardised coding of type 2 diabetes in the CDM was validated by comparing the presence of diabetes in the CDM versus the original electronic records at the hospital, the recording in paper-based medical records, and the physician re-assessment of diabetes in the included cases and controls, respectively. Sensitivity, specificity, positive predictive value and negative predictive value were estimated for each pairwise comparison using RStudio V.1.4.1103. RESULTS: A total of 437 random sample of patients with type 2 diabetes mellitus was identified and matched with 437 controls. Only 190 of 437 (43.0%) had paper-based medical records. All estimates were above 90% except for sensitivity and specificity of CDM versus paper-based records (54%; 95% CI 47% to 61% and 68%; 95% CI 62% to 73%, respectively). CONCLUSIONS: This study provided an assessment to the extent of which only type 2 diabetes mellitus code can be used to identify patients with this disease at a Saudi centralised database. A future multi-centre study would help adding more emphasis to the study findings. |
format | Online Article Text |
id | pubmed-10032409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-100324092023-03-23 Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study Althunian, Turki Abdulaziz Alrasheed, Meshael M Alnofal, Fatemah A Tafish, Rawan T Mira, Mahmood A Alroba, Raseel A Kirdas, Mohammed W Alshammari, Thamir M BMJ Open Epidemiology OBJECTIVES: This study was conducted to assess the validity of recording (and the original diagnostic practice) of type 2 diabetes mellitus at a hospital whose records were integrated to a centralised database (the standardised common data model (CDM) of the Saudi National Pharmacoepidemiologic Database (NPED)). DESIGN: A retrospective single-centre validation study. SETTINGS: Data of the study participants were extracted from the CDM of the NPED (only records of one tertiary care hospital were integrated at the time of the study) between 1 January 2013 and 1 July 2018. PARTICIPANTS: A random sample of patients with type 2 diabetes mellitus (≥18 years old and with a code of type 2 diabetes mellitus) matched with a control group (patients without diabetes) based on age and sex. OUTCOME MEASURES: The standardised coding of type 2 diabetes in the CDM was validated by comparing the presence of diabetes in the CDM versus the original electronic records at the hospital, the recording in paper-based medical records, and the physician re-assessment of diabetes in the included cases and controls, respectively. Sensitivity, specificity, positive predictive value and negative predictive value were estimated for each pairwise comparison using RStudio V.1.4.1103. RESULTS: A total of 437 random sample of patients with type 2 diabetes mellitus was identified and matched with 437 controls. Only 190 of 437 (43.0%) had paper-based medical records. All estimates were above 90% except for sensitivity and specificity of CDM versus paper-based records (54%; 95% CI 47% to 61% and 68%; 95% CI 62% to 73%, respectively). CONCLUSIONS: This study provided an assessment to the extent of which only type 2 diabetes mellitus code can be used to identify patients with this disease at a Saudi centralised database. A future multi-centre study would help adding more emphasis to the study findings. BMJ Publishing Group 2023-03-21 /pmc/articles/PMC10032409/ /pubmed/36944455 http://dx.doi.org/10.1136/bmjopen-2022-065468 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Althunian, Turki Abdulaziz Alrasheed, Meshael M Alnofal, Fatemah A Tafish, Rawan T Mira, Mahmood A Alroba, Raseel A Kirdas, Mohammed W Alshammari, Thamir M Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study |
title | Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study |
title_full | Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study |
title_fullStr | Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study |
title_full_unstemmed | Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study |
title_short | Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study |
title_sort | recording type 2 diabetes mellitus in a standardised central saudi database: a retrospective validation study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032409/ https://www.ncbi.nlm.nih.gov/pubmed/36944455 http://dx.doi.org/10.1136/bmjopen-2022-065468 |
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