CARRS Surveillance study: design and methods to assess burdens from multiple perspectives
<p style="text-align:justify;"> <b>Background:</b> 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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2012
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| _version_ | 1797062947722231808 |
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| author | Nair, M Ali, M Ajay, V Shivashankar, R Mohan, V Pradeepa, R Deepa, M Khan, H Kadir, M Fatmi, Z Reddy, K Tandon, N Narayan, K Prabhakaran, D |
| author_facet | Nair, M Ali, M Ajay, V Shivashankar, R Mohan, V Pradeepa, R Deepa, M Khan, H Kadir, M Fatmi, Z Reddy, K Tandon, N Narayan, K Prabhakaran, D |
| author_sort | Nair, M |
| collection | OXFORD |
| description | <p style="text-align:justify;"> <b>Background:</b> 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.<br/><br/> 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.<br/><br/> <b>Methods:</b><br/> 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.<br/><br/> Sites: Three urban settings (Chennai and New Delhi in India; Karachi in Pakistan), 4000 participants in each site stratified by gender and age.<br/><br/> 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.<br/><br/> 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.<br/><br/> <b>Results:</b> 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.<br/><br/> <b>Discussion:</b> 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> |
| first_indexed | 2024-03-06T20:52:49Z |
| format | Journal article |
| id | oxford-uuid:382dfde8-c54b-4b48-9b40-2dc0d39da90e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:52:49Z |
| publishDate | 2012 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | oxford-uuid:382dfde8-c54b-4b48-9b40-2dc0d39da90e2022-03-26T13:48:27ZCARRS Surveillance study: design and methods to assess burdens from multiple perspectivesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:382dfde8-c54b-4b48-9b40-2dc0d39da90eEnglishSymplectic Elements at OxfordBioMed Central2012Nair, MAli, MAjay, VShivashankar, RMohan, VPradeepa, RDeepa, MKhan, HKadir, MFatmi, ZReddy, KTandon, NNarayan, KPrabhakaran, D <p style="text-align:justify;"> <b>Background:</b> 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.<br/><br/> 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.<br/><br/> <b>Methods:</b><br/> 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.<br/><br/> Sites: Three urban settings (Chennai and New Delhi in India; Karachi in Pakistan), 4000 participants in each site stratified by gender and age.<br/><br/> 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.<br/><br/> 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.<br/><br/> <b>Results:</b> 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.<br/><br/> <b>Discussion:</b> 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> |
| spellingShingle | Nair, M Ali, M Ajay, V Shivashankar, R Mohan, V Pradeepa, R Deepa, M Khan, H Kadir, M Fatmi, Z Reddy, K Tandon, N Narayan, K Prabhakaran, D CARRS Surveillance study: design and methods to assess burdens from multiple perspectives |
| title | 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_short | 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 |
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