Cargando…

Antibiotic prescriptions for oral diseases in India: evidence from national prescription data

INTRODUCTION: The key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic types associated with different dental diagnoses, using a large-scale nationally represen...

Descripción completa

Detalles Bibliográficos
Autores principales: Mathur, Manu Raj, Nagrath, Deepti, Mishra, Vijay Kumar, Harris, Rebecca, Saeed, Syed Saif, Selvaraj, Sakthivel, Mehta, Aashna, Farooqui, Habib Hasan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039494/
https://www.ncbi.nlm.nih.gov/pubmed/36966284
http://dx.doi.org/10.1186/s12903-023-02889-0
_version_ 1784912279890821120
author Mathur, Manu Raj
Nagrath, Deepti
Mishra, Vijay Kumar
Harris, Rebecca
Saeed, Syed Saif
Selvaraj, Sakthivel
Mehta, Aashna
Farooqui, Habib Hasan
author_facet Mathur, Manu Raj
Nagrath, Deepti
Mishra, Vijay Kumar
Harris, Rebecca
Saeed, Syed Saif
Selvaraj, Sakthivel
Mehta, Aashna
Farooqui, Habib Hasan
author_sort Mathur, Manu Raj
collection PubMed
description INTRODUCTION: The key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic types associated with different dental diagnoses, using a large-scale nationally representative dataset. METHODS: We used a 12-month period (May 2015 to April 2016) medical audit dataset from IQVIA (formerly IMS Health). We coded the dental diagnosis provided in the medical audit data to the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the prescribed antibiotics for the diagnosis to the Anatomic Therapeutic Chemical (ATC) -2020 classification of the World Health Organization. The primary outcome measure was the medicine prescription rate per 1,000 persons per year (PRPY(1000)). RESULTS: Our main findings were—403 prescriptions per 1,000 persons per year in the year 2015 -2016 for all dental ailments. Across all ATC level 1 classification, ‘Diseases of hard tissues’ made up the majority of the prescriptions. ‘Beta-lactam’, ‘Penicillin,’ and ‘Cephalosporins’ were the most commonly prescribed antibiotics for dental diagnoses followed by ‘Macrolides’ and ‘Quinolones’. ‘Dental caries’, ‘Discoloration of tooth’, and ‘Toothache’ were the most common reasons for ‘Beta-Lactams’ and ‘Penicillin’ prescriptions. CONCLUSION: To conclude our study reports first ever country (India) level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-11 classification for dental ailments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-023-02889-0.
format Online
Article
Text
id pubmed-10039494
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-100394942023-03-26 Antibiotic prescriptions for oral diseases in India: evidence from national prescription data Mathur, Manu Raj Nagrath, Deepti Mishra, Vijay Kumar Harris, Rebecca Saeed, Syed Saif Selvaraj, Sakthivel Mehta, Aashna Farooqui, Habib Hasan BMC Oral Health Research INTRODUCTION: The key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic types associated with different dental diagnoses, using a large-scale nationally representative dataset. METHODS: We used a 12-month period (May 2015 to April 2016) medical audit dataset from IQVIA (formerly IMS Health). We coded the dental diagnosis provided in the medical audit data to the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the prescribed antibiotics for the diagnosis to the Anatomic Therapeutic Chemical (ATC) -2020 classification of the World Health Organization. The primary outcome measure was the medicine prescription rate per 1,000 persons per year (PRPY(1000)). RESULTS: Our main findings were—403 prescriptions per 1,000 persons per year in the year 2015 -2016 for all dental ailments. Across all ATC level 1 classification, ‘Diseases of hard tissues’ made up the majority of the prescriptions. ‘Beta-lactam’, ‘Penicillin,’ and ‘Cephalosporins’ were the most commonly prescribed antibiotics for dental diagnoses followed by ‘Macrolides’ and ‘Quinolones’. ‘Dental caries’, ‘Discoloration of tooth’, and ‘Toothache’ were the most common reasons for ‘Beta-Lactams’ and ‘Penicillin’ prescriptions. CONCLUSION: To conclude our study reports first ever country (India) level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-11 classification for dental ailments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-023-02889-0. BioMed Central 2023-03-25 /pmc/articles/PMC10039494/ /pubmed/36966284 http://dx.doi.org/10.1186/s12903-023-02889-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mathur, Manu Raj
Nagrath, Deepti
Mishra, Vijay Kumar
Harris, Rebecca
Saeed, Syed Saif
Selvaraj, Sakthivel
Mehta, Aashna
Farooqui, Habib Hasan
Antibiotic prescriptions for oral diseases in India: evidence from national prescription data
title Antibiotic prescriptions for oral diseases in India: evidence from national prescription data
title_full Antibiotic prescriptions for oral diseases in India: evidence from national prescription data
title_fullStr Antibiotic prescriptions for oral diseases in India: evidence from national prescription data
title_full_unstemmed Antibiotic prescriptions for oral diseases in India: evidence from national prescription data
title_short Antibiotic prescriptions for oral diseases in India: evidence from national prescription data
title_sort antibiotic prescriptions for oral diseases in india: evidence from national prescription data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039494/
https://www.ncbi.nlm.nih.gov/pubmed/36966284
http://dx.doi.org/10.1186/s12903-023-02889-0
work_keys_str_mv AT mathurmanuraj antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata
AT nagrathdeepti antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata
AT mishravijaykumar antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata
AT harrisrebecca antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata
AT saeedsyedsaif antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata
AT selvarajsakthivel antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata
AT mehtaaashna antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata
AT farooquihabibhasan antibioticprescriptionsfororaldiseasesinindiaevidencefromnationalprescriptiondata