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A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population

OBJECTIVE: To find out prevalence of Diabetic Retinopathy in general population of three districts in Pakistan. METHODS: A community based cross-sectional survey was conducted in three large districts of Pakistan namely Rawalpindi in Punjab, Peshawar in Khyber Pakhtoonkhwa and Hyderabad in Sindh bet...

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Autores principales: Jawa, Ali, Assir, Muhammad Zaman Khan, Riaz, Syed Hunain, Chaudhary, Rashin, Awan, Farooq, Akram, Javed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Professional Medical Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5103114/
https://www.ncbi.nlm.nih.gov/pubmed/27882002
http://dx.doi.org/10.12669/pjms.325.10955
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author Jawa, Ali
Assir, Muhammad Zaman Khan
Riaz, Syed Hunain
Chaudhary, Rashin
Awan, Farooq
Akram, Javed
author_facet Jawa, Ali
Assir, Muhammad Zaman Khan
Riaz, Syed Hunain
Chaudhary, Rashin
Awan, Farooq
Akram, Javed
author_sort Jawa, Ali
collection PubMed
description OBJECTIVE: To find out prevalence of Diabetic Retinopathy in general population of three districts in Pakistan. METHODS: A community based cross-sectional survey was conducted in three large districts of Pakistan namely Rawalpindi in Punjab, Peshawar in Khyber Pakhtoonkhwa and Hyderabad in Sindh between January 2013 and August 2015. Lady Health Workers identified individuals at high risk for diabetes based on pre-defined criteria. High risk population was tested for dysglycemia. Fundoscopic evaluation for evidence of DR was performed in all individuals with a random blood glucose >190mg/dl. Individuals with the evidence of DR were referred to affiliated tertiary care ophthalmology departments. RESULTS: A total of 42,629 individuals reported at the project sites and 63% (n=26,859) were female. Fifty one percent (n=21,989) individuals met high risk criteria. Out of these 21,989 individuals, dysglycemia was found in 3,869 (17.6%). Fundoscopy showed evidence of DR in 1,042 (27%) individuals. Amongst high risk population, dysglycemia was significantly more common in females as compared to males. The frequency of DR in dysglycemic patients was comparable across both gender groups. CONCLUSION: The prevalence of DR in Pakistani population is alarmingly high. This preventable cause of blindness is largely undiagnosed in our population and a simple integrated model based on primary health care facilities can help identify and treat a large population of DR patients.
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spelling pubmed-51031142016-11-23 A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population Jawa, Ali Assir, Muhammad Zaman Khan Riaz, Syed Hunain Chaudhary, Rashin Awan, Farooq Akram, Javed Pak J Med Sci Original Article OBJECTIVE: To find out prevalence of Diabetic Retinopathy in general population of three districts in Pakistan. METHODS: A community based cross-sectional survey was conducted in three large districts of Pakistan namely Rawalpindi in Punjab, Peshawar in Khyber Pakhtoonkhwa and Hyderabad in Sindh between January 2013 and August 2015. Lady Health Workers identified individuals at high risk for diabetes based on pre-defined criteria. High risk population was tested for dysglycemia. Fundoscopic evaluation for evidence of DR was performed in all individuals with a random blood glucose >190mg/dl. Individuals with the evidence of DR were referred to affiliated tertiary care ophthalmology departments. RESULTS: A total of 42,629 individuals reported at the project sites and 63% (n=26,859) were female. Fifty one percent (n=21,989) individuals met high risk criteria. Out of these 21,989 individuals, dysglycemia was found in 3,869 (17.6%). Fundoscopy showed evidence of DR in 1,042 (27%) individuals. Amongst high risk population, dysglycemia was significantly more common in females as compared to males. The frequency of DR in dysglycemic patients was comparable across both gender groups. CONCLUSION: The prevalence of DR in Pakistani population is alarmingly high. This preventable cause of blindness is largely undiagnosed in our population and a simple integrated model based on primary health care facilities can help identify and treat a large population of DR patients. Professional Medical Publications 2016 /pmc/articles/PMC5103114/ /pubmed/27882002 http://dx.doi.org/10.12669/pjms.325.10955 Text en Copyright: © Pakistan Journal of Medical Sciences http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Jawa, Ali
Assir, Muhammad Zaman Khan
Riaz, Syed Hunain
Chaudhary, Rashin
Awan, Farooq
Akram, Javed
A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population
title A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population
title_full A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population
title_fullStr A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population
title_full_unstemmed A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population
title_short A simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in Pakistani population
title_sort simple integrated primary health care based model for detection of diabetic retinopathy in resource-limited settings in pakistani population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5103114/
https://www.ncbi.nlm.nih.gov/pubmed/27882002
http://dx.doi.org/10.12669/pjms.325.10955
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