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Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India
INTRODUCTION: India has a multifaceted healthcare system and recognizes complementary and alternative systems of medicine (AYUSH) that cater to the healthcare needs of people. Multimorbidity requires frequent visits to physicians and long-term use of medications, due to which people tend to prefer A...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685658/ https://www.ncbi.nlm.nih.gov/pubmed/38031066 http://dx.doi.org/10.1186/s12906-023-04158-7 |
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author | Varanasi, Roja Sinha, Abhinav Nayak, Debadatta Manchanda, Raj K. Janardhanan, Rajiv Tandon, Simran Pati, Sanghamitra |
author_facet | Varanasi, Roja Sinha, Abhinav Nayak, Debadatta Manchanda, Raj K. Janardhanan, Rajiv Tandon, Simran Pati, Sanghamitra |
author_sort | Varanasi, Roja |
collection | PubMed |
description | INTRODUCTION: India has a multifaceted healthcare system and recognizes complementary and alternative systems of medicine (AYUSH) that cater to the healthcare needs of people. Multimorbidity requires frequent visits to physicians and long-term use of medications, due to which people tend to prefer AYUSH systems as they provide holistic patient-centered treatment. Hence, we aimed to estimate the prevalence of multimorbidity and assess its correlates among patients attending AYUSH primary care clinics in Delhi. METHODS: A cross-sectional study was conducted among 943 patients aged ≥ 18 years attending various AYUSH primary care clinics in Delhi from September 2021 to February 2022, employing a stratified random sampling technique. Descriptive statistics such as frequency and proportion were used to report the prevalence of multimorbidity (two or more chronic conditions in an individual out of the 33 conditions listed as per the Multimorbidity Assessment Questionnaire for Primary Care). A multivariable logistic regression assessed the association between various socio-demographic characteristics and multimorbidity, presented as an adjusted odds ratio (AOR) with a 95% confidence interval (CI). RESULTS: The prevalence of diabetes (14.7%) was found to be the highest (out of all included chronic conditions) among the patients attending various AYUSH primary care settings. The overall prevalence of multimorbidity was observed to be around 39.4%. We observed a higher likelihood of having multimorbidity among participants aged ≥ 70 years [AOR: 9.19 (95% CI: 3.75–22.54)], females [AOR: 1.57 (95% CI: 1.04–2.37)], and middle class [AOR: 2.23 (95% CI: 1.45–3.43)]. CONCLUSION: Multimorbidity was evidently prevalent across AYUSH primary care settings, which cannot be overlooked. The results suggest behavioral change communication may be aimed at older individuals, females, and the middle class. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12906-023-04158-7. |
format | Online Article Text |
id | pubmed-10685658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106856582023-11-30 Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India Varanasi, Roja Sinha, Abhinav Nayak, Debadatta Manchanda, Raj K. Janardhanan, Rajiv Tandon, Simran Pati, Sanghamitra BMC Complement Med Ther Research INTRODUCTION: India has a multifaceted healthcare system and recognizes complementary and alternative systems of medicine (AYUSH) that cater to the healthcare needs of people. Multimorbidity requires frequent visits to physicians and long-term use of medications, due to which people tend to prefer AYUSH systems as they provide holistic patient-centered treatment. Hence, we aimed to estimate the prevalence of multimorbidity and assess its correlates among patients attending AYUSH primary care clinics in Delhi. METHODS: A cross-sectional study was conducted among 943 patients aged ≥ 18 years attending various AYUSH primary care clinics in Delhi from September 2021 to February 2022, employing a stratified random sampling technique. Descriptive statistics such as frequency and proportion were used to report the prevalence of multimorbidity (two or more chronic conditions in an individual out of the 33 conditions listed as per the Multimorbidity Assessment Questionnaire for Primary Care). A multivariable logistic regression assessed the association between various socio-demographic characteristics and multimorbidity, presented as an adjusted odds ratio (AOR) with a 95% confidence interval (CI). RESULTS: The prevalence of diabetes (14.7%) was found to be the highest (out of all included chronic conditions) among the patients attending various AYUSH primary care settings. The overall prevalence of multimorbidity was observed to be around 39.4%. We observed a higher likelihood of having multimorbidity among participants aged ≥ 70 years [AOR: 9.19 (95% CI: 3.75–22.54)], females [AOR: 1.57 (95% CI: 1.04–2.37)], and middle class [AOR: 2.23 (95% CI: 1.45–3.43)]. CONCLUSION: Multimorbidity was evidently prevalent across AYUSH primary care settings, which cannot be overlooked. The results suggest behavioral change communication may be aimed at older individuals, females, and the middle class. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12906-023-04158-7. BioMed Central 2023-11-29 /pmc/articles/PMC10685658/ /pubmed/38031066 http://dx.doi.org/10.1186/s12906-023-04158-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Varanasi, Roja Sinha, Abhinav Nayak, Debadatta Manchanda, Raj K. Janardhanan, Rajiv Tandon, Simran Pati, Sanghamitra Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India |
title | Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India |
title_full | Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India |
title_fullStr | Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India |
title_full_unstemmed | Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India |
title_short | Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India |
title_sort | prevalence and correlates of multimorbidity among patients attending ayush primary care settings in delhi-national capital region, india |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685658/ https://www.ncbi.nlm.nih.gov/pubmed/38031066 http://dx.doi.org/10.1186/s12906-023-04158-7 |
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