1. Healthcare Utilization Patterns for Acute Febrile Illness in Bangladesh, Nepal, and Pakistan: Results from the Surveillance for Enteric Fever in Asia Project
- Author
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Krista Vaidya, Jason R. Andrews, Stephen P. Luby, Samir K. Saha, Kristen Aiemjoy, Alexander T Yu, Isaac I. Bogoch, Farah Naz Qamar, Caitlin Hemlock, Mohammad Tahir Yousafzai, Ashley T Longley, Kashmira Date, Dipesh Tamrakar, Shampa Saha, Denise O Garrett, and Graduate School
- Subjects
Adult ,Microbiology (medical) ,Fever ,Population ,enteric fever ,Supplement Articles ,Disease cluster ,Logistic regression ,Microbiology ,Medical and Health Sciences ,Typhoid fever ,Nepal ,Clinical Research ,Environmental health ,Severity of illness ,Humans ,Medicine ,Pakistan ,Typhoid Fever ,Child ,education ,Pediatric ,Estimation ,Bangladesh ,education.field_of_study ,business.industry ,Incidence (epidemiology) ,acute febrile illness ,healthcare utilization ,Health Services ,Biological Sciences ,medicine.disease ,AcademicSubjects/MED00290 ,Infectious Diseases ,Infection ,business ,Enteric fever ,typhoid ,hospitalization - Abstract
Background Characterizing healthcare-seeking patterns for acute febrile illness is critical for generating population-based enteric fever incidence estimates from facility-based surveillance data. Methods We used a hybrid model in the Surveillance for Enteric Fever in Asia Project (SEAP) to assess incidence of enteric fever at 6 study hospitals in 3 countries. We recruited individuals presenting to the hospitals and obtained blood cultures to evaluate for enteric fever. For this analysis, we undertook cluster random household surveys in Dhaka, Bangladesh (2 sites); Karachi, Pakistan; Kathmandu, Nepal; and Kavrepalanchok, Nepal between January 2017 and February 2019, to ascertain care-seeking behavior for individuals with 1) fever for ≥3 consecutive days within the past 8 weeks; or 2) fever resulting in hospitalization within the past year. We also collected data about disease severity and household demographics and assets. We used mixed-effect multivariable logistic regression models to identify determinants of healthcare seeking at study hospitals and determinants of culture-confirmed enteric fever. Results We enrolled 31 841 households (53 926 children) in Bangladesh, 25 510 households (84 196 children and adults) in Nepal, and 21 310 households (108 031 children and adults) in Pakistan. Children Conclusions Age, household wealth, and disease severity are important determinants of healthcare seeking for acute febrile illness and enteric fever risk in these communities, and should be incorporated into estimation models for enteric fever incidence.
- Published
- 2020