Healthcare utilisation survey as part of the Hybrid model of the Surveillance of Enteric Fever in India (SEFI) study: processes, results, and challenges

Author:

Raju ReshmaORCID,Angelin J Kezia,Karthikeyan Arun S,Kumar Dilesh,Kumar Ranjith R,Sahai Nikhil,Ramanujan Karthik,Murhekar Manoj,Elangovan A.,Samuel Prasanna,John Jacob,Kang GagandeepORCID

Abstract

AbstractBackgroundEnteric fever is a significant health challenge in low and middle-income countries. “Surveillance of Enteric Fever in India” (SEFI) network was set up to obtain reliable incidence data. Six sites utilised a hybrid surveillance model, a combination of facility-based surveillance and community-based healthcare utilisation survey (HCUS). HCUS was performed to determine the percentage of the catchment population utilising the study facilities for febrile episodes, and is described here.MethodsA two-stage sampling process was utilised for the HCUS to select 5000 households per site. Demographic data and healthcare-seeking behaviour were assessed.ResultsFebrile hospitalisation rate ranged from 2.5/1000 in Kullu to 9.6/1000 in Anantapur. The percentage of febrile admissions that sought care in the study hospital from the catchment area is 17% in Anantapur, 38% in Karimganj, 38% in Chandigarh, 10% in Nandurbar, 36% in Kullu and 24% in East Champaran respectively.ConclusionsThe variability in healthcare utilisation for fever admissions in the study hospitals underscores the importance of periodic healthcare utilisation surveys in hybrid surveillance. It is essential to adjust for those cases which have slipped out of the facility surveillance radar for obtaining an accurate estimate of the disease burden.

Publisher

Cold Spring Harbor Laboratory

Reference28 articles.

1. WHO | WHO recommended surveillance standards, Second edition [Internet]. World Health Organization; [cited 2019 Dec 18]. Available from: https://www.who.int/csr/resources/publications/surveillance/WHO_CDS_CSR_ISR_99_2_EN/en/

2. Communicable disease outbreak detection by using supplementary tools to conventional surveillance methods under Integrated Disease Surveillance Project (IDSP), India;J Commun Dis,2009

3. Community-based surveillance: a pilot study from rural Cambodia

4. Technical Contributors to the June 2018 WHO meeting. A definition for community-based surveillance and a way forward: results of the WHO global technical meeting, France, 26 to 28 June 2018 [Internet]. 2019 Jan p. 2019;24(2):pii=1800681. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337056/

5. Health-seeking patterns among participants of population-based morbidity surveillance in rural western Kenya: implications for calculating disease rates

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection;Cochrane Database of Systematic Reviews;2022-07-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3