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Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges

BACKGROUND: Lack of reliable data in India drove the “Surveillance of Enteric Fever in India” (SEFI) concept. Hybrid surveillance, combining facility-based surveillance for the crude incidence, and a community-based healthcare utilization survey (HCUS) to calculate the factor needed to arrive at the...

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Autores principales: Raju, Reshma, Kezia Angelin, J, Karthikeyan, Arun S, Kumar, Dilesh, Kumar R, Ranjith, Sahai, Nikhil, Ramanujam, Karthikeyan, Murhekar, Manoj, Elangovan, A, Samuel, Prasanna, John, Jacob, Kang, Gagandeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914874/
https://www.ncbi.nlm.nih.gov/pubmed/35238353
http://dx.doi.org/10.1093/infdis/jiab371
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author Raju, Reshma
Kezia Angelin, J
Karthikeyan, Arun S
Kumar, Dilesh
Kumar R, Ranjith
Sahai, Nikhil
Ramanujam, Karthikeyan
Murhekar, Manoj
Elangovan, A
Samuel, Prasanna
John, Jacob
Kang, Gagandeep
author_facet Raju, Reshma
Kezia Angelin, J
Karthikeyan, Arun S
Kumar, Dilesh
Kumar R, Ranjith
Sahai, Nikhil
Ramanujam, Karthikeyan
Murhekar, Manoj
Elangovan, A
Samuel, Prasanna
John, Jacob
Kang, Gagandeep
author_sort Raju, Reshma
collection PubMed
description BACKGROUND: Lack of reliable data in India drove the “Surveillance of Enteric Fever in India” (SEFI) concept. Hybrid surveillance, combining facility-based surveillance for the crude incidence, and a community-based healthcare utilization survey (HCUS) to calculate the factor needed to arrive at the adjusted incidence, was used in 6 sites. The HCUS aimed to determine the percentage of utilization of study facilities by the catchment population for hospitalizations due to febrile illness. METHODS: Population proportional to size sampling and systematic random sampling, in 2 stages, were used to survey 5000 households per site. Healthcare utilization was assessed. RESULTS: Febrile illness accounted for 20% of admissions among 137 990 individuals from 30 308 households. Only 9.6%–38.3% of those admitted with febrile illness sought care in the study hospitals. The rate of rural utilization of the private sector for hospitalization was 67.6%. The rate of hospitalization for febrile illness, per 1000 population, ranged from 2.6 in Manali to 9.6 in Anantapur; for 25.8% of the deaths associated with febrile illness, no facility was used before death. CONCLUSIONS: One in 5 hospitalizations were associated with fever. Rural utilization of the private sector for hospitalization due to febrile illness was more than that of the public sector. Healthcare utilization patterns for hospital admissions due to febrile illness varied across sites. A meticulously performed HCUS is pivotal for accurate incidence estimation in a hybrid surveillance. CLINICAL TRIALS REGISTRATION: ISRCTN72938224.
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spelling pubmed-89148742022-03-14 Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges Raju, Reshma Kezia Angelin, J Karthikeyan, Arun S Kumar, Dilesh Kumar R, Ranjith Sahai, Nikhil Ramanujam, Karthikeyan Murhekar, Manoj Elangovan, A Samuel, Prasanna John, Jacob Kang, Gagandeep J Infect Dis Supplement Articles BACKGROUND: Lack of reliable data in India drove the “Surveillance of Enteric Fever in India” (SEFI) concept. Hybrid surveillance, combining facility-based surveillance for the crude incidence, and a community-based healthcare utilization survey (HCUS) to calculate the factor needed to arrive at the adjusted incidence, was used in 6 sites. The HCUS aimed to determine the percentage of utilization of study facilities by the catchment population for hospitalizations due to febrile illness. METHODS: Population proportional to size sampling and systematic random sampling, in 2 stages, were used to survey 5000 households per site. Healthcare utilization was assessed. RESULTS: Febrile illness accounted for 20% of admissions among 137 990 individuals from 30 308 households. Only 9.6%–38.3% of those admitted with febrile illness sought care in the study hospitals. The rate of rural utilization of the private sector for hospitalization was 67.6%. The rate of hospitalization for febrile illness, per 1000 population, ranged from 2.6 in Manali to 9.6 in Anantapur; for 25.8% of the deaths associated with febrile illness, no facility was used before death. CONCLUSIONS: One in 5 hospitalizations were associated with fever. Rural utilization of the private sector for hospitalization due to febrile illness was more than that of the public sector. Healthcare utilization patterns for hospital admissions due to febrile illness varied across sites. A meticulously performed HCUS is pivotal for accurate incidence estimation in a hybrid surveillance. CLINICAL TRIALS REGISTRATION: ISRCTN72938224. Oxford University Press 2021-11-23 /pmc/articles/PMC8914874/ /pubmed/35238353 http://dx.doi.org/10.1093/infdis/jiab371 Text en © The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Supplement Articles
Raju, Reshma
Kezia Angelin, J
Karthikeyan, Arun S
Kumar, Dilesh
Kumar R, Ranjith
Sahai, Nikhil
Ramanujam, Karthikeyan
Murhekar, Manoj
Elangovan, A
Samuel, Prasanna
John, Jacob
Kang, Gagandeep
Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges
title Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges
title_full Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges
title_fullStr Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges
title_full_unstemmed Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges
title_short Healthcare Utilization Survey in the Hybrid Model of the Surveillance for Enteric Fever in India (SEFI) Study: Processes, Monitoring, Results, and Challenges
title_sort healthcare utilization survey in the hybrid model of the surveillance for enteric fever in india (sefi) study: processes, monitoring, results, and challenges
topic Supplement Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914874/
https://www.ncbi.nlm.nih.gov/pubmed/35238353
http://dx.doi.org/10.1093/infdis/jiab371
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