POSEIDON Study

The POSEIDON Study 

(Prevalence Of Symptoms on a singlE Indian healthcare Day On a Nationwide scale)

India is the seventh-largest country by geographical area, the second-most populous country with over 1.2 billion people, and the most populous democracy in the world. The Indian economy is the world's tenth largest economy by nominal GDP and fourth largest economy by purchasing power parity. Over the years, India has become one of the fastest growing major economies, and is considered a newly industrialized country; however, it continues to face the challenges of poverty, illiteracy, corruption and inadequate public health.

Apart from understanding the prevalence of common symptoms in the community, these studies also help identify hot spots where certain diseases may be more prevalent. Such information can be crucial to plan health care resources. Although these cross sectional studies provide immense valuable information, no such studies have been conducted in India.

Chest Research Foundation took the initiative to assess the health status of the country. We aim to study the prevalence of symptoms for which patients present to the physician, investigate gender and age specific distribution of disease, investigate state-wise distribution of disease patterns, and also understand disease co-morbid conditions.

A, questionnaire based, point prevalence study was conducted across the 28 states and 7 union territories of India on 1st of February, 2011. The date was chosen after much speculation and considering the lack of seasonal effects on the health status of the population. Each questionnaire had a listed column of common symptoms, adapted from the ICD, and 25 rows each representing one patient. Every participating medical practitioner was given 3 such forms (75 patients each).

12,000 medical practitioners (MBBS, BAMS, BHMS, BUMS, MD/DNB Medicine and MD/DNB/DCH Paediatrics) were randomly selected from the database of Cipla Ltd. from all 28 states and 7 union territories of India. The reason for selecting only the above categories of doctors is that they generally see patients with all general symptoms. Selecting specialist doctors will create bias of the patient population, such as only patients with neurological symptoms will be found at neurologists clinics and so on.

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CRF at ERS 2016 London
7 of the 12 abstracts submitted were selected at t
CRF at ERS 2015 Amsterdam
9 of the 13 abstracts submitted were selected at t
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ICONIC 2016
Chest Research Foundation, Pun...
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