CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
<p>Abstract</p> <p>Background</p> <p>Cardio-metabolic diseases (CMDs) are a growing public health problem, but data on incidence, trends, and costs in developing countries is scarce. Comprehensive and standardised surveillance for non-communicable diseases was recommend...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2012-08-01
|
Series: | BMC Public Health |
Subjects: | |
Online Access: | http://www.biomedcentral.com/1471-2458/12/701 |
id |
doaj-eb3b15e4740f4eeb8d0e11fc75508f40 |
---|---|
record_format |
Article |
spelling |
doaj-eb3b15e4740f4eeb8d0e11fc75508f402020-11-24T21:40:08ZengBMCBMC Public Health1471-24582012-08-0112170110.1186/1471-2458-12-701CARRS Surveillance study: design and methods to assess burdens from multiple perspectivesNair ManishaAli Mohammed KAjay Vamadevan SShivashankar RoopaMohan ViswanathanPradeepa RajendraDeepa MohanKhan Hassan MKadir Muhammad MFatmi Zafar AReddy KTandon NikhilNarayan KMPrabhakaran Dorairaj<p>Abstract</p> <p>Background</p> <p>Cardio-metabolic diseases (CMDs) are a growing public health problem, but data on incidence, trends, and costs in developing countries is scarce. Comprehensive and standardised surveillance for non-communicable diseases was recommended at the United Nations High-level meeting in 2011.</p> <p>Aims: To develop a model surveillance system for CMDs and risk factors that could be adopted for continued assessment of burdens from multiple perspectives in South-Asian countries.</p> <p>Methods</p> <p>Design: Hybrid model with two cross-sectional serial surveys three years apart to monitor trend, with a three-year prospective follow-up of the first cohort.</p> <p>Sites: Three urban settings (Chennai and New Delhi in India; Karachi in Pakistan), 4000 participants in each site stratified by gender and age.</p> <p>Sampling methodology: Multi-stage cluster random sampling; followed by within-household participant selection through a combination of Health Information National Trends Study (HINTS) and Kish methods.</p> <p>Culturally-appropriate and methodologically-relevant data collection instruments were developed to gather information on CMDs and their risk factors; quality of life, health-care utilisation and costs, along with objective measures of anthropometric, clinical and biochemical parameters. The cohort follow-up is designed as a pilot study to understand the feasibility of estimating incidence of risk factors, disease events, morbidity, and mortality.</p> <p>Results</p> <p>The overall participant response rate in the first cross-sectional survey was 94.1% (Chennai 92.4%, n = 4943; Delhi 95.7%, n = 4425; Karachi 94.3%, n = 4016). 51.8% of the participants were females, 61.6% < 45years, 27.5% 45–60years and 10.9% >60 years.</p> <p>Discussion</p> <p>This surveillance model will generate data on prevalence and trends; help study the complex life-course patterns of CMDs, and provide a platform for developing and testing interventions and tools for prevention and control of CMDs in South-Asia. It will also help understanding the challenges and opportunities in establishing a surveillance system across countries.</p> http://www.biomedcentral.com/1471-2458/12/701“Cardio-metabolic diseases”SurveillanceRisk-factorsSouth-Asia |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nair Manisha Ali Mohammed K Ajay Vamadevan S Shivashankar Roopa Mohan Viswanathan Pradeepa Rajendra Deepa Mohan Khan Hassan M Kadir Muhammad M Fatmi Zafar A Reddy K Tandon Nikhil Narayan KM Prabhakaran Dorairaj |
spellingShingle |
Nair Manisha Ali Mohammed K Ajay Vamadevan S Shivashankar Roopa Mohan Viswanathan Pradeepa Rajendra Deepa Mohan Khan Hassan M Kadir Muhammad M Fatmi Zafar A Reddy K Tandon Nikhil Narayan KM Prabhakaran Dorairaj CARRS Surveillance study: design and methods to assess burdens from multiple perspectives BMC Public Health “Cardio-metabolic diseases” Surveillance Risk-factors South-Asia |
author_facet |
Nair Manisha Ali Mohammed K Ajay Vamadevan S Shivashankar Roopa Mohan Viswanathan Pradeepa Rajendra Deepa Mohan Khan Hassan M Kadir Muhammad M Fatmi Zafar A Reddy K Tandon Nikhil Narayan KM Prabhakaran Dorairaj |
author_sort |
Nair Manisha |
title |
CARRS Surveillance study: design and methods to assess burdens from multiple perspectives |
title_short |
CARRS Surveillance study: design and methods to assess burdens from multiple perspectives |
title_full |
CARRS Surveillance study: design and methods to assess burdens from multiple perspectives |
title_fullStr |
CARRS Surveillance study: design and methods to assess burdens from multiple perspectives |
title_full_unstemmed |
CARRS Surveillance study: design and methods to assess burdens from multiple perspectives |
title_sort |
carrs surveillance study: design and methods to assess burdens from multiple perspectives |
publisher |
BMC |
series |
BMC Public Health |
issn |
1471-2458 |
publishDate |
2012-08-01 |
description |
<p>Abstract</p> <p>Background</p> <p>Cardio-metabolic diseases (CMDs) are a growing public health problem, but data on incidence, trends, and costs in developing countries is scarce. Comprehensive and standardised surveillance for non-communicable diseases was recommended at the United Nations High-level meeting in 2011.</p> <p>Aims: To develop a model surveillance system for CMDs and risk factors that could be adopted for continued assessment of burdens from multiple perspectives in South-Asian countries.</p> <p>Methods</p> <p>Design: Hybrid model with two cross-sectional serial surveys three years apart to monitor trend, with a three-year prospective follow-up of the first cohort.</p> <p>Sites: Three urban settings (Chennai and New Delhi in India; Karachi in Pakistan), 4000 participants in each site stratified by gender and age.</p> <p>Sampling methodology: Multi-stage cluster random sampling; followed by within-household participant selection through a combination of Health Information National Trends Study (HINTS) and Kish methods.</p> <p>Culturally-appropriate and methodologically-relevant data collection instruments were developed to gather information on CMDs and their risk factors; quality of life, health-care utilisation and costs, along with objective measures of anthropometric, clinical and biochemical parameters. The cohort follow-up is designed as a pilot study to understand the feasibility of estimating incidence of risk factors, disease events, morbidity, and mortality.</p> <p>Results</p> <p>The overall participant response rate in the first cross-sectional survey was 94.1% (Chennai 92.4%, n = 4943; Delhi 95.7%, n = 4425; Karachi 94.3%, n = 4016). 51.8% of the participants were females, 61.6% < 45years, 27.5% 45–60years and 10.9% >60 years.</p> <p>Discussion</p> <p>This surveillance model will generate data on prevalence and trends; help study the complex life-course patterns of CMDs, and provide a platform for developing and testing interventions and tools for prevention and control of CMDs in South-Asia. It will also help understanding the challenges and opportunities in establishing a surveillance system across countries.</p> |
topic |
“Cardio-metabolic diseases” Surveillance Risk-factors South-Asia |
url |
http://www.biomedcentral.com/1471-2458/12/701 |
work_keys_str_mv |
AT nairmanisha carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT alimohammedk carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT ajayvamadevans carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT shivashankarroopa carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT mohanviswanathan carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT pradeeparajendra carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT deepamohan carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT khanhassanm carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT kadirmuhammadm carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT fatmizafara carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT reddyk carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT tandonnikhil carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT narayankm carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives AT prabhakarandorairaj carrssurveillancestudydesignandmethodstoassessburdensfrommultipleperspectives |
_version_ |
1725927994866794496 |