Methodology of Seasonal Waves of Respiratory.2
Methodology of Seasonal Waves of Respiratory.2
Methodology of Seasonal Waves of Respiratory.2
1
Department of Medicine, Division of Allergy and Pulmonary Medicine, SMS Medical College, Jaipur, Rajasthan, India, 2Department of
Chest and Tuberculosis, Institute of Respiratory Disease, SMS Medical College, Jaipur, Rajasthan, India, 3Department of Pharmacology, Lal
Bahadur Shastri College of Pharmacy, Jaipur, Affiliate to University of Rajastha, Rajasthan, India, 4Department of Pulmonary Medicine,
Institute of Chest Diseases, Government Medical College, Kozhikode, Kerala, India, 5Department of Pulmonary Medicine, MLN Medical
College, Allahabad, Uttar Pradesh, India, 6Chest Clinic, Varanasi, Uttar Pradesh, India, 7Department of Respiratory Medicine, King George’s
Medical University, Lucknow, Uttar Pradesh, India, 8Executive Director, Asthma Bhawan, Jaipur, Rajasthan, India, 9Department of Research
Division, Asthma Bhawan, Jaipur, Rajasthan, India, 10Department of Medicine, SMS Medical College, Jaipur, Rajasthan, India, 11Department
of Preventive Cardiology and Internal Medicine, Eternal Heart Care Centre and Research Institute, Mount Sinai New York Affiliate, Jaipur,
Rajasthan, India, 12Department of Internal and Pulmonary Medicine, SKIMS, Srinagar, Jammu and Kashmir, India, 13Director, Chest Research
Foundation, Pune, Maharashtra, India, 14Director, Asthma Bhawan, Jaipur, Rajasthan, India, 15SWORD Study Group for the Indian Chest
Society SWORD Survey Conducted by Department of Pulmonary Medicine, Asthma Bhawan, Jaipur, Rajasthan, India
ABSTRACT
Background: Respiratory disorders are important contributors to disease burden across the world. The aim is to assess
the proportionate burden of types of respiratory diseases and their seasonal patterns in India we are performing a field
study. The present report describes methodological aspects of a respiratory disease point prevalence survey from India.
Methods: A total of 4108 chest physicians were invited. Acceptance was received from 420 sites. Chest physicians were
classified according to location of practice one as medical college, district government hospital, private hospital, and
private clinics. Qualifications of practicing chest physicians were postgraduate in chest medicine, including Doctorate of
Medicine (68.4%), diploma in chest medicine (22.1%), and Postgraduate in Medicine (9.5%). The study questionnaire
was designed to record demographic data, comorbidities, risk factors, and respiratory conditions based on ICD‑10.
Results: A total of 366 sites provided baseline data, and the response rate of recruitment of the study sites was 8.9%
in the baseline phase. However, government and private medical colleges, as well as government and private hospitals
across India, were part of recruitment of respiratory patients for this survey. Conclusions: It is feasible to conduct a
large multisite study to assess respiratory disease burden. Challenges include low response rate and logistic issues.
Address for correspondence: Prof. Virendra Singh, Department of Pulmonary Medicine, Asthma Bhawan, Jaipur, Rajasthan, India.
E‑mail: drvirendrasingh93@gmail.com
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How to cite this article: Sharma BB, Singh S, Sharma KK, Suraj KP,
DOI: Mahmood T, Samaria KU, et al. Methodology of Seasonal Waves
of Respiratory Disorders survey conducted at respiratory outpatient
10.4103/lungindia.lungindia_466_19 clinics across India. Lung India 2020;37:100-6.
In a retrospective analysis of data from the Asia‑Pacific Ethics committee approval and verbal informed consent
Burden of Respiratory Diseases study, proportionate burden were obtained at individual center by the respective
of allergic rhinitis, asthma, COPD, and rhinosinusitis investigators. The study was registered at the clinical
varied greatly depending on the type of health‑care trial registry of India (CTRI/2018/03/012469). E‑mail and
practice. [7] Although the study included general and mobile alerts on social networking software were sent to
respiratory disease practitioners from India, it was limited the participating centers from national coordinating center
to only four respiratory diseases and to select geographic before the beginning of the survey. Requisite pro forma and
regions of Asia. logistic support for the survey were then provided to the
participating centers. The geographical map of distribution
About 50% of patients visiting primary care general of participating centers corresponding to the site of practice
practitioners, general physicians, and pediatricians in of chest physicians of the country is shown in Figure 2.
India do so for respiratory symptoms, as reported in the
POSEIDON study.[8] Study pro forma
SWORD pro forma used for this study consisted
The main limitation of this study was the reporting of of a questionnaire, designed rigorously at the
overlapping respiratory symptoms. This emphasizes the National coordinating center by a coordinating
need for good quality field studies to estimate the true team [Supplementary Figure 1].The initial part of the
burden of respiratory disease in India. questionnaire contained information about the site
and details about the investigator. The main body of
In the present study, we aimed to examine the reasons for questionnaire contained data capture sheet which was
visit to a chest physician to assess the proportional point divided into two parts‑A and B. Part A had demographic
prevalence of respiratory diseases, associated comorbid data on age, gender, and socioeconomic status (SES) along
conditions, and risk factors. We also aimed to assess the with an inquiry into the presence of risk factors. Part B
proportionate burden of different respiratory diseases had questions on medical history for comorbid conditions,
in the different health‑care settings. Herein, we report list of symptoms, and respiratory diagnoses based on the
methodology from the Seasonal Waves of Respiratory ICD‑10. The key respiratory symptoms included were type
Disorders (SWORD) survey conducted across India. of cough, breathlessness, chest tightness, wheezing, pain
in the throat, fever, and hemoptysis. The main respiratory
METHODS diagnoses included physician diagnosed or the current
diagnosis of COPD, asthma, upper respiratory tract
Recruitment of sites infections, pneumonia, TB, pleural diseases, bronchiectasis,
SWORD survey phase‑1 was a cross‑sectional, multicenter pulmonary aspergilloma, hypersensitivity pneumonitis,
study of point prevalence of the respiratory diseases in sarcoidosis, pneumoconiosis, pulmonary eosinophilia,
India using the standard ICD‑10 classification system for other interstitial lung diseases, hyperventilation syndrome,
the diagnosis. The Indian Chest Society (ICS) initiated sleep apnea, pulmonary embolism, and lung cancer.
patients in India. Since there is no formal national Total number of pulmonologists invited
to participate in the study
list of registration, we tried to collect data from the (n = 4108)
membership list of leading chest societies such as ICS
and NCCP. We also collected data from participants of Number of sites participated and
provided clean data in baseline phase
a national respiratory conference as conferences are (366)
attended by doctors involved in active care of patients. (n = 366, 8.9%)
Even a bigger challenge was motivation of respiratory
physicians for participation in the study. Despite
Qualification of Principal Investigators:
two reminders and two messages only 8.9% of them Postgraduate in Chest Medicine (68.4%), Diploma in Chest
volunteered to participate in the study. However, it can Medicine (22.1%),
Postgraduate in Medicine (9.5%)
be inferred that most of the respiratory specialty clinics
of India were covered in the survey as the practitioners
working in these clinics are members of either ICS or Government
Medical Private Private
NCCP. District
Colleges Hospitals Clinics
Hospitals
(106) (108) (125)
(27)
Another challenge was the training of such a large number
of participants spread across the country. This was Figure 1: Study flow chart
including private and government medical colleges, 27 observations.[6,9,10] Furthermore, these data are primarily
district government hosptals108 private hospitals, and collected for maternal and child health‑care issues and
125 private clinics. do not address specific respiratory diseases.
Seasonal phases of the survey We tried to cover all important aspects related to respiratory
There were four seasonal phases. The phases are shown diagnoses and associated conditions and risk factors in the
in Table 1. The additional phase was conducted for Delhi SWORD survey.
during the surge of pollution in 2017.
Respiratory symptoms and diagnoses
DISCUSSION Studies have shown that females tend to present more
frequently with wheezing and tend to show more bronchial
There is a paucity of studies on respiratory epidemiology hyperreactivity as compared to males.[11,12] According to the
from India and no robust database on pattern of respiratory GBD study, there is a rising trend of asthma and COPD in
diseases exists. The GBD study represents morbidity data India from 1990 to 2016 with an increase of 9% and 29%
from National Family Health Surveys, National Sample in crude prevalence rate, respectively for both diseases.[13]
Survey Organizations, Census of India, and Registrar According to the Lancet commission report, presently the
General of India. These data from verbal autopsy are private sector is dealing with substantial burden of TB in
subject to various kinds of biases including, most India.[14] Therefore, both the sectors should be given equal
importantly, the confounding bias due to incomplete emphasis while planning strategies against TB. In addition,
Figure 2: Geographic map of study sites distributed across states of India. The photograph shows concentration bar‑map of 366 study centers
participating in the phase one survey for generating baseline data. The bars represent the location of cities where the survey took place
sociodemographic and cultural factors should also be taken Strength and limitations
into consideration for control of TB.[15] The present study adds importantly to the field of respiratory
healthcare. It provides knowledge of the actual burden
Comorbid conditions and patterns of respiratory disease in patients visiting
Comorbid conditions may have a significant impact on the practitioners working in different health‑care settings in
natural history of respiratory diseases. Allergic diathesis India. Diagnosis of respiratory diseases was based on direct
was coexistent in a large proportion of our study population. assessment by respiratory practitioners thus eliminating
As per the united airway disease hypothesis, allergic information bias arising out of people responding to
rhinitis is commonly found in asthma.[16,17] Similarly, unfamiliar scientific expressions about their illness in
urticaria and eczema are also commonly associated with epidemiological surveys. Importantly, this is the only large
asthma.[18] Similar observations have been reported in some scale study of its kind in field of respiratory research in India.
other studies.[18,19] Hypertension, diabetes, and OSA are
considered to be the major risk factors for cardiovascular However, because of the inherent nature of reporting in
disease, and all of them are frequently reported as male healthcare settings, bias due diagnostic misclassification
dominant conditions.[20,21] could not be excluded. Effect of different practice patterns
on overall population and certain societal behaviors
Risk factors of population preferentially reaching out to particular
Smoking is known to be associated with the development healthcare or practitioner could also not be excluded.
of COPD, lung cancer, idiopathic pulmonary fibrosis, The response rate of respiratory physicians for volunteer
asthma as well as TB.[22] It can also trigger aggravation of participation in our study was quite low. This is perhaps
allergic diseases and it seems to affect allergic sensitization due to gap between respiratory practice and aptitude
in a dose‑dependent manner.[23] towards research in India.
Rajesh Chawla, Rakesh K. Chawla, Deepu Chengappa, Ramakrishna, B.R. Ramesh, T.G. Ranganath, Rajiv Ranjan,
N.G. Chethan Kumar, Anish Chopra, Deepak Chopra, A. Venkateswara Rao, Ch. R.N. Bhushana Rao, M.V. Subba
Vishal Chopra, Gordhan Singh Choudhary, Sumer Sanjiv Rao, Nitin Rathi, C. Ravindran, Jagdish Rawat, B. Kishore
Choudhary, Kartik Chouhan, A.J. Dabawala, Pramod Reddy, K. Bhooma Reddy, K.K. Reddy, M. RamaKrishna
Dadhich, Premraj Singh Dagur, Satish Dahake, Hemant Reddy, Rekha, Srigiri Revadi, Ashish Rout, Arnab Roy,
Dahiya, Siba Prasad Dalai, Kewal Krishan Dang, R. Nikhil Kumar Roy, M. Sabir, Sankar Kumar Saha, Shilpi
Darshana, Sibamay Das, Manoranjan Dash, Sampat Dash, Sahai, Gopal Krushna Sahu, Sofia Salim, Rudra Prasad
Somnath Dash, Trinath Dash, Mitesh Dave, Sachi Dave, Samanta, Santu Kumar Samanta, Nikhil Sarangdhar, B.C.
Akhilesh Deoras, Vikrant Suresh Deshmukh, Dipankar Sarin, Sarita, S.K. Sarkar, Syamal Sarkar, Jogesh Sarma,
Chandra Dey, Raja Dhar, Ramakant Dixit, Vikas Dogra, Kripesh Ranjan Sarmah, Honney Sawhney, Anil Saxena,
Ravi Dosi, Dharmendra Dubey, Naveen Dutt, Kaushik Ashok Sengupta, Arpan Shah, Hardik D. Shah, Tejal Shah,
Dutta, Pravati Dutta, Samadarshi Dutta, Chirag Gangajalia, Shameem, Shelly Shamim, Manish Shankar, Nirupam
Joydeep Ganguly, M.L. Garg, H.J. Gayathri Devi, Ajay Sharan, K.K. Sharma, Lalit Kumar Sharma, Sunil Kumar
Godse, Debabrata Goswami, Bindu Goyal, Sachin Goyal, Sharma, Rajendra Shastri, A.L. Shivaraj, Shubhranshu,
Suresh Kumar Goyal, Vikas Goyal, Charanpreet Singh Amitabh Das Shukla, Ajeet Singh, Alok Kumar Singh, C.P.
Grover, Sunil Grover, Narender Gulati, Ashish Gupta, Singh, Chandrabhusan R. Singh, D.P. Singh, G.N. Singh,
Ashutosh Gupta, D.C. Gupta, Deepak Gupta, Krishan Gopal G.P. Singh, Gurpreet Singh, Inderpreet Singh, P. Sarat
Gupta, Manish Gupta, Neeraj Gupta, Onkar Gupta, Piyush Singh, Ranjit Kumar Singh, Shiv Kumar Singh, Surinder
Gupta, Prahlad Gupta, Rajeev Gupta, Rambabu Gupta, S.N. Pal Singh, Vijay K. Singh, Vinay Krishna Singh, Gaurav
Gupta, Vitull K. Gupta, Umar Hafir, P. Hari Lakshmanan, Singhal, Sumit Singhania, A.K. Sinha, Ashish D. Sinha,
G.M. Harish, Jyothi Hattiholli, Basanta Hazarika, L. Prakash Sinha, Sonam Solanki, Vijayant Solanki, Sandeep
Hemanth, Kona Himabindu, Huliraj, Irfan, Ashish Jain, Soni, Shradha soni, Sai Sravya, Peddi Srikanth, Guduri
Nirmal Kumar Jain, R.P. Jaiswal, Dev Singh Jangpangi, R.L. Srinivas, Alok Srivastava, Anand Srivastava, N. Suhail,
Jat, Sangeetha Jayant, B.S. Jayaraj, N.K. Jhamb, Pramod A. Sundaramurthy, K. Sunil Kumar, R. Suresh, Parimal
Jhawar, Aditya Jindal, SK Jindal, Suman Kabiraj, G.S. Swamy, Bala Raju Tadikonda, Rajendra Takhar, Deepak
Kalra, Hemant Kalra, Ritesh Kamal, Vivekanand Kambar, Talwar, Ashish Tandon, Nitin Tangri, Himanshu Thakker,
Anil Kumar Kancharla, Surinder Kansala, Pardeep Kapur, Ajit Kumar Thakur, Binod Kumar Thakur, Sharad Tikkiwal,
Vinod Karhana, Azmat Karim, Rahul Karwa, Rajiv Kumar C. Tirumala, Sahebrao Kondiba Toke, Veerottam Tomar,
Katara, P.C. Kathuria, Rahul Katyal, Rominder Kaur, A.N. Trigun, Sonali Pathak Trivedi, Gladbin Tyagi, Gururaj
Mahaboob Khan, Arjun Khanna, J.K. Khatri, N. Kiran, Udachankar, Hirennappa B. Udnur, Sivaresmi Unnithan,
Kamal Kishore, Janso Kollanur, Prashant Kolte, Kiran Abhay Uppe, Pawan Varshney, K. Venugopal, K. Venugopal,
Krishnamurthy, Srikanth Krishnamurthy, Anand Kumar, K.P. Venugopal, Ajay Kumar Verma, Manish Verma, Suraj
Ashwani Kumar, G. Shyam Kumar, G.P. Vignan Kumar, Verma, S.C. Vivekananthan, Pradyut Waghray, Arun Kumar
Harish Kumar, Nishith Kumar, Sudhir Kumar, Taying Yadav, Deepak Yaduvanshi, Vishal Lalchand Zanwar
Kumar, Uday Kumar, Vijay Kumar, Vinay Kumar, Vivek
Kumar, Anirudh Lochan, Sanjay Londhe, Atul Luhadia, Financial support and sponsorship
S.K. Luhadia, Lokesh Maan, Sujeet Kumar Madhukar, Nil.
Vineet Mahajan, P.A. Mahesh, M.M. Mahindrakar, Anupam
Malik, Kshitij Mandke, D.K. Manoj, Dipesh Maskey, G.K. Conflicts of interest
Mathur, Subrata Maulik, R.P. Meena, Jenam Mehta, Jilan There are no conflicts of interest.
R. Mehta, Lavina Mirchandani, Ashwini Kumar Mishra,
Brajesh Mishra, K.S. Mishra, Narayan Mishra, Ritabrata
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ǁĞĞŬ ʹ džͲƐŵŽŬĞƌ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϭϲ
^ŵŽŬĞĨƌĞĞĨŽƌĂƚůĞĂƐƚϭŵŽŶƚŚ
^ŵŽŬĞƌ ʹ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϭϳ я
͘Ő͕͘ŝĚŝͬĐŝŐĂƌĞƚƚĞͬĐŚŝůůƵŵͬŚŽŽŬĂŚ
dƌĂǀĞů ʹ ZĞĐĞŶƚ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϭϴ
tŝƚŚŝŶ ϭŵŽŶƚŚ
ϭϵ sŝƐŝďůĞŵŽůĚĂƚŚŽŵĞͬǁŽƌŬƉůĂĐĞ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
tŽƌŬŝŶŵŝŶĞ ʹ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϮϬ
;ƐƚŽŶĞͬĐŽĂůͬŐŽůĚͿ
WƌĞƐĞŶƚsŝƐŝƚƚŽŽŶƐƵůƚĂŶƚ dž͘ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϭ EĞǁǀŝƐŝƚ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϮϮ ZĞǀŝƐŝƚ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϯ ŵĞƌŐĞŶĐLJǀŝƐŝƚ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϰ
ϯϬϮϬϭϲ
:ĂŝƉƵƌͿ
tƌŝƚĞ>ŽĐĂůŝƚLJʹŝƚLJ
Ğ͘Ő͕͘ŚŚŝLJĂůʹ<ƵůůůƵ
tƌŝƚĞsŝůůĂŐĞʹŝƐƚƌŝĐƚ
;/ĨƵŶĂďůĞƚŽĞŶƚĞƌW/E
DƵƐƚĞŶƚĞƌW/EĐŽĚĞ
Ğ͘Ő͕͘^ŚĂƐƚƌŝEĂŐĂƌʹ
Page1
Center Code:
WZdͲ ůŝŶŝĐĂů ƐƐĞƐƐŵĞŶƚ
ŽŵŽƌďŝĚŽŶĚŝƚŝŽŶƐ dž͘ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϱ ůůĞƌŐŝĐZŚŝŶŝƚŝƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϲ ŶĞŵŝĂ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϳ ƌƚŚƌŝƚŝƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϴ ŝĂďĞƚĞƐŵĞůůŝƚƵƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Ϯϵ ĐnjĞŵĂ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϬ 'Z ;'ĂƐƚƌŽĞƐŽƉŚĂŐĞĂůƌĞĨůƵdžͿ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϭ ,ĞĂƌƚ ĚŝƐĞĂƐĞ;ĐŽƌŽŶĂƌLJͿ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϮ ,LJƉĞƌƚĞŶƐŝŽŶ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϯ hƌƚŝĐĂƌŝĂ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϱ ŚĞƐƚ ƉĂŝŶ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϲ ŚĞƐƚ ƚŝŐŚƚŶĞƐƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϳ ŽƵŐŚͲ WƌŽĚƵĐƚŝǀĞ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϴ ŽƵŐŚͲ ƌLJ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϯϵ &ĞǀĞƌ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϬ ,ĞŵŽƉƚLJƐŝƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϭ WĂŝŶ ŝŶƚŚƌŽĂƚ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϮ tŚĞĞnjĞ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϰ ƐƚŚŵĂͲ KWŽǀĞƌůĂƉƐLJŶĚƌŽŵĞ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϱ ƌŽŶĐŚŝĞĐƚĂƐŝƐͲ WŽƐƚͲƚƵďĞƌĐƵůĂƌ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϲ ƌŽŶĐŚŝĞĐƚĂƐŝƐͲ W ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϳ KW ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϴ ,LJƉĞƌƐĞŶƐŝƚŝǀŝƚLJ ƉŶĞƵŵŽŶŝƚŝƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϰϵ ,LJƉĞƌǀĞŶƚŝůĂƚŝŽŶ^LJŶĚƌŽŵĞ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϱϬ />ʹ /W& ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϱϭ />ʹ KƚŚĞƌƉĂƚƚĞƌŶ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϱϮ />ʹ ŽůůĂŐĞŶƚŝƐƐƵĞĚŝƐĞĂƐĞ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϱϴ WŶĞƵŵŽĐŽŶŝŽƐŝƐʹ ^ŝůŝĐŽƐŝƐ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϱϵ WŶĞƵŵŽĐŽŶŝŽƐŝƐʹ ƐďĞƐƚŽƐŝƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
Page2
Center Code:
WŶĞƵŵŽĐŽŶŝŽƐŝƐʹ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϬ
ŽĂůǁŽƌŬĞƌƉŶĞƵŵŽĐŽŶŝŽƐŝƐ
ϲϭ WŶĞƵŵŽŶŝĂʹ ĂĐƚĞƌŝĂů ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϮ WŶĞƵŵŽŶŝĂʹ sŝƌĂů ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϯ WŶĞƵŵŽŶŝĂʹ KƚŚĞƌ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϰ WŽƐƚͲƚƵďĞƌĐƵůŽƐŝƐKW ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϱ WƵůŵŽŶĂƌLJĂƐƉĞƌŐŝůůŽŵĂ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϲ WƵůŵŽŶĂƌLJ ĞŵďŽůŝƐŵ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϳ WƵůŵŽŶĂƌLJ ĞŽƐŝŶŽƉŚŝůŝĂ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϴ ^ĂƌĐŽŝĚŽƐŝƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϲϵ ^ůĞĞƉ ĂƉŶĞĂ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϳϬ dƵďĞƌĐƵůŽƐŝƐͲ EĞǁůLJĚŝĂŐŶŽƐĞĚ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϳϭ dƵďĞƌĐƵůŽƐŝƐͲ ZĞƚƌĞĂƚŵĞŶƚ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϳϮ dƵďĞƌĐƵůŽƐŝƐͲ DZсD͕yZсy ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
hZd/ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϳϯ
;hƉƉĞƌƌĞƐƉŝƌĂƚŽƌLJƚƌĂĐƚŝŶĨĞĐƚŝŽŶͿ
ϳϰ
<LJƉŚŽƐĐŽůŽŝŽƐŝƐ
KƚŚĞƌĚŝĂŐŶŽƐŝƐ ʹ ŶŽƚůŝƐƚĞĚ
ĂďŽǀĞ
dĞƐƚƐͲ ;ĚŽŶĞͬĂĚǀŝƐĞĚс яͿ dž͘ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
;EŽƚĚŽŶĞсϬ͕ŽŶĞсϭ͕
ϳϱ &ƐŵĞĂƌ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ĚǀŝƐĞĚсϮͿ
ϳϲ ƌƚĞƌŝĂůďůŽŽĚŐĂƐĂŶĂůLJƐŝƐ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϳϳ ƌŽŶĐŚŽƐĐŽƉLJ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ŽŵƉůĞƚĞďůŽŽĚĐŽƵŶƚǁŝƚŚ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϳϴ
ĚŝĨĨĞƌĞŶƚŝĂůĐŽƵŶƚ
ϳϵ Ed ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϴϬ ŚĞƐƚ yʹƌĂLJ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϴϭ d ŽĨ ĐŚĞƐƚ я ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϴϮ >ĐŽ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϴϯ &ĞEK;džŚĂůĞĚďƌĞĂƚŚŶŝƚƌŝĐŽdžŝĚĞͿ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϴϰ ^ŝdžͲŵŝŶƵƚĞǁĂůŬƚĞƐƚ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
ϴϱ ^ůĞĞƉƐƚƵĚLJ ϭ Ϯ ϯ ϰ ϱ ϲ ϳ ϴ ϵ ϭϬ ϭϭ ϭϮ ϭϯ ϭϰ ϭϱ ϭϲ ϭϳ ϭϴ ϭϵ ϮϬ
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Answer: You can do it on any other date of survey week. If you cannot do it in the same week, do it on the next
scheduled survey date.
8. Many doctors attend patients in our OPD who will enroll the patients?
Answer: A doctor who has registered with survey will enroll patients.
9. How would I identify an enrolled patient when he/she comes back after investigation e.g. CXR?
Answer: A patient number should be recorded on the OPD sheet of the patient as well as proforma.