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BMC Public Health . Acceptability, cost-effectiveness, and capacity of a facility-based seasonal influenza vaccination among high-risk groups: a stu

tetano

Editor, Senior Moderator
BMC Public Health


. 2024 Jan 20;24(1):242.
doi: 10.1186/s12889-024-17724-6. Acceptability, cost-effectiveness, and capacity of a facility-based seasonal influenza vaccination among high-risk groups: a study protocol in selected tertiary care hospitals of Bangladesh

Md Zakiul Hassan[SUP] 1 2 [/SUP], Md Abdullah Al Jubayer Biswas[SUP] 3 [/SUP], Mahbubur Rahman[SUP] 4 [/SUP], Homayra Rahman Shoshi[SUP] 3 [/SUP], Ashrak Shad Pyash[SUP] 3 [/SUP], Md Ariful Islam[SUP] 3 [/SUP], Md Azizul Haque[SUP] 5 [/SUP], Syeda Rukhshana Parvin[SUP] 6 [/SUP], Md Tanvir Hossen[SUP] 7 [/SUP], Mofakhar Hussain[SUP] 8 [/SUP], Mahmudur Rahman[SUP] 9 [/SUP], Tahmina Shirin[SUP] 4 [/SUP], Fahmida Chowdhury[SUP] 3 [/SUP]



Affiliations
Free PMC article Abstract

Background: In Bangladesh, seasonal influenza imposes considerable disease and economic burden, especially for those at high-risk of severe disease. The most successful approach for influenza prevention is the administration of a vaccine. Many poor and middle-income nations, including Bangladesh, do not have a national strategy or program in place for seasonal influenza vaccines, despite the World Health Organization's (WHO) advice to prioritize high-risk populations. Additionally, there is a scarcity of substantial data on the cost-effectiveness of seasonal influenza vaccination in these countries. The aim of our study is to determine acceptability, health beliefs, barriers, and intention of receiving influenza vaccine among high-risk populations, assess the cost-effectiveness of implementing a facility-based seasonal influenza vaccination programme, and investigate the required capacity for a potential seasonal influenza vaccination programme.
Methods: We will undertake this study following STROBE guidelines. We will conduct the study in inpatient and outpatient departments of three selected tertiary-level hospitals leveraging the ongoing hospital-based influenza surveillance (HBIS) platform. The study population will include the WHO-defined four high-risk groups excluding healthcare workers: children six months to eight years, pregnant women, elderly ≥ 60 years, and adults with chronic diseases. We will collect quantitative data on participants' acceptability, health beliefs, barriers, and vaccination intentions using the health belief model (HBM) from patients meeting the criteria for high-risk populations attending two public tertiary-level hospitals. In one of the two public tertiary-level hospitals, we will arrange an influenza vaccination campaign before the influenza season, where the vaccine will be offered free of cost to high-risk patients, and in the second hospital, vaccination will not be offered. Both the vaccinated and unvaccinated participants will then be followed-up once a month for one year to record any influenza-like illness, hospitalization, and death. Additional data for objective two will be collected from patients with symptoms of influenza-like illness (ILI) and severe acute respiratory infection (SARI) at one public and one private hospital to determine both direct and indirect costs associated with influenza illness. We will estimate the required number of influenza vaccines, safe injections, and total storage volume utilizing secondary data. We will use a deterministic Markov decision-analytic model to estimate the cost-effectiveness of facility-based influenza vaccination in Bangladesh.
Discussion: The results of this study will enable the National Immunization Technical Advisory Group and the Ministry of Health & Family Welfare of Bangladesh to decide what steps to take to develop and implement an influenza vaccination strategy targeting high-risk populations.
Trial registration: The Clinicaltrials.gov registration number is NCT05996549. The registration for the protocol version 2.0 took place in August 2023, with the initial participant being enrolled in March 2022.

Keywords: Health belief model; High-risk group population; Seasonal influenza vaccination; Vaccination cost-effectiveness; Vaccine acceptability.

 
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