Kathirvel Soundappan

Dr. Kathirvel Soundappan

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in Healthcare Informatics Research
Verified
Journal Article
Open access
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MVMadhur Verma
Madhur Verma
KKKamal Kishore
Kamal Kishore
MKMukesh Kumar
Mukesh Kumar
ASAparajita Ravi Sondh
Aparajita Ravi Sondh
GAGaurav Aggarwal
Gaurav Aggarwal
KSKathirvel Soundappan
Kathirvel Soundappan
Verma M, et al. Healthc Inform Res. 2018 Oct;24(4):300-308. https://doi.org/10.4258/hir.2018.24.4.300

4 April 2022 in The Lancet Infectious Diseases
Verified
Journal Article
Closed access
VMValliappan Muthu
Valliappan Muthu
RARitesh Agarwal
Ritesh Agarwal
APAtul Patel
Atul Patel
KSKathirvel Soundappan
Kathirvel Soundappan
OAOoriapadickal Cherian Abraham
Ooriapadickal Cherian Abraham
ACArunaloke Chakrabarti
Arunaloke Chakrabarti

13 March 2019 in PLOS ONE
Verified
Journal Article
Open access
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HSHemant Deepak Shewade
Hemant Deepak Shewade
VGVivek Gupta
Vivek Gupta
SSSrinath Satyanarayana
Srinath Satyanarayana
PPPrabhat Pandey
Prabhat Pandey
UBU N Bajpai
U N Bajpai
SCSarabjit Singh Chadha
Sarabjit Singh Chadha
Axshya SAMVAD is an active tuberculosis (TB) case finding (ACF) strategy under project Axshya (Axshya meaning ‘free of TB’ and SAMVAD meaning ‘conversation’) among marginalized and vulnerable populations in 285 districts of India. To compare patient characteristics, health seeking, delays in diagnosis and treatment initiation among new sputum smear positive TB patients detected through ACF and passive case finding (PCF) under the national TB programme in marginalized and vulnerable populations between March 2016 and February 2017. This observational analytic study was conducted in 18 randomly sampled Axshya districts. We enrolled all TB patients detected through ACF and an equal number of randomly selected patients detected through PCF in the same settings. Data on patient characteristics, health seeking and delays were collected through record review and patient interviews (at their residence). Delays included patient level delay (from eligibility for sputum examination to first contact with any health care provider (HCP)), health system level diagnosis delay (from contact with first HCP to TB diagnosis) and treatment initiation delays (from diagnosis to treatment initiation). Total delay was the sum of patient level, health system level diagnosis delay and treatment initiation delays. We included 234 ACF-diagnosed and 231 PCF-diagnosed patients. When compared to PCF, ACF patients were relatively older (≥65 years, 14% versus 8%, p = 0.041), had no formal education (57% versus 36%, p<0.001), had lower monthly income per capita (median 13.1 versus 15.7 USD, p = 0.014), were more likely from rural areas (92% versus 81%, p<0.002) and residing far away from the sputum microscopy centres (more than 15 km, 24% versus 18%, p = 0.126). Fewer patients had history of significant loss of weight (68% versus 78%, p = 0.011) and sputum grade of 3+ (15% versus 21%, p = 0.060). Compared to PCF, HCP visits among ACF patients was significantly lower (median one versus two HCPs, p<0.001). ACF patients had significantly lower health system level diagnosis delay (median five versus 19 days, p = 0.008) and the association remained significant after adjusting for potential confounders. Patient level and total delays were not significantly different. Axshya SAMVAD linked the most impoverished communities to TB care and resulted in reduction of health system level diagnosis delay.

23 April 2023 in The Journal of Allergy and Clinical Immunology: In Practice
Verified
Journal Article
Closed access
RARitesh Agarwal
Ritesh Agarwal
VMValliappan Muthu
Valliappan Muthu
ISInderpaul Sehgal
Inderpaul Sehgal
SDSahajal Dhooria
Sahajal Dhooria
KPKuruswamy Thurai Prasad
Kuruswamy Thurai Prasad
ACArunaloke Chakrabarti
Arunaloke Chakrabarti

1 January 2018 in Global Health Action
Verified
Journal Article
Open access
HSHemant Deepak Shewade
Hemant Deepak Shewade
VGVivek Gupta
Vivek Gupta
SSSrinath Satyanarayana
Srinath Satyanarayana
AKAtul Kharate
Atul Kharate
KSK.N. Sahai
K.N. Sahai
SCSarabjit Singh Chadha
Sarabjit Singh Chadha
Background: There is limited evidence on whether active case finding (ACF) among marginalised and vulnerable populations mitigates the financial burden during tuberculosis (TB) diagnosis. Objectives: To determine the effect of ACF among marginalised and vulnerable populations on prevalence and inequity of catastrophic costs due to TB diagnosis among TB-affected households when compared with passive case finding (PCF). Methods: In 18 randomly sampled ACF districts in India, during March 2016 to February 2017, we enrolled all new sputum-smear-positive TB patients detected through ACF and an equal number of randomly selected patients detected through PCF. Direct (medical and non-medical) and indirect costs due to TB diagnosis were collected through patient interviews at their residence. We defined costs due to TB diagnosis as ‘catastrophic’ if the total costs (direct and indirect) due to TB diagnosis exceeded 20% of annual pre-TB household income. We used concentration curves and indices to assess the extent of inequity. Results: When compared with patients detected through PCF (n = 231), ACF patients (n = 234) incurred lower median total costs (US$ 4.6 and 20.4, p < 0.001). The prevalence of catastrophic costs in ACF and PCF was 10.3 and 11.5% respectively. Adjusted analysis showed that patients detected through ACF had a 32% lower prevalence of catastrophic costs relative to PCF [adjusted prevalence ratio (95% CI): 0.68 (0.69, 0.97)]. The concentration indices (95% CI) for total costs in both ACF [−0.15 (−0.32, 0.11)] and PCF [−0.06 (−0.20, 0.08)] were not significantly different from the line of equality and each other. The concentration indices (95% CI) for catastrophic costs in both ACF [−0.60 (−0.81, –0.39)] and PCF [−0.58 (−0.78, –0.38)] were not significantly different from each other: however, both the curves had a significant distribution among the poorest quintiles. Conclusion: ACF among marginalised and vulnerable populations reduced total costs and prevalence of catastrophic costs due to TB diagnosis, but could not address inequity.

21 July 2022 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SDSahajal Dhooria
Sahajal Dhooria
ISInderpaul Singh Sehgal
Inderpaul Singh Sehgal
RARitesh Agarwal
Ritesh Agarwal
VMValliappan Muthu
Valliappan Muthu
KPKuruswamy Thurai Prasad
Kuruswamy Thurai Prasad
DBDigambar Behera
Digambar Behera
Background and objective: The epidemiology of interstitial lung diseases (ILDs) in developing countries remains unknown. The objective of this study was to estimate the incidence, prevalence, and national burden of ILDs in India. Methods: Data of consecutive subjects (aged >12 years) with ILDs included in a registry between March 2015 and February 2020 were analyzed retrospectively. The proportion of each ILD subtype was determined. The crude annual incidence and prevalence of ILDs for our region were estimated. Subsequently, the primary estimates of the national annual incident and prevalent burden of ILD and its subtypes were calculated. Alternative estimates for each ILD subtype were calculated using the current and a large, previous Indian study (n = 1,084). Data were analyzed using SPSS version 22 and are presented descriptively. Results: A total of 2,005 subjects (mean age, 50.7 years; 47% men) were enrolled. Sarcoidosis (37.3%) was the most common ILD subtype followed by connective tissue disease (CTD)-related ILDs (19.3%), idiopathic pulmonary fibrosis (IPF, 17.0%), and hypersensitivity pneumonitis (HP, 14.4%). The crude annual incidence and prevalence of ILDs were 10.1–20.2 and 49.0–98.1, respectively per 100,000 population. The best primary estimates for the crude national burden of all ILDs, sarcoidosis, CTD-ILD, IPF, HP, and other ILDs (in thousands) were 433–867, 213–427, 75–150, 51–102, 54–109, and 39–78. The respective alternative estimates (in thousands) were sarcoidosis, 127–254; CTD-ILD, 81–162; IPF, 46–91; HP, 130–261; other ILDs, 49–98. Conclusion: In contrast to developed countries, sarcoidosis and HP are the ILDs with the highest burden in India.