非传染性疾病患者的流感疫苗接种:捷克共和国关于意识、使用和未满足需求的调查。

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Zdeněk Zadražil, Lenka Cesneková, Jan Kynčl, Zuzana Krištúfková, Laura Colombo, Sanjay Hadigal
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引用次数: 0

摘要

背景:非传染性疾病患者感染流感等疫苗可预防疾病的风险更高,病情严重和并发症的可能性也更高。然而,捷克共和国这一人群的流感疫苗接种率非常低。目的:本调查在捷克共和国的非传染性疾病成人中,评估了对一般疫苗接种和流感疫苗接种的知识、态度和差距。方法:调查于2023年2月至2023年3月在捷克共和国的非传染性疾病患者中进行。使用了一份结构化的基于网络的开放式问题问卷。本研究是对先前一项涉及1106例患者的多中心研究进行的预先计划的亚组辅助分析。结果:共纳入120例患者,其中62%(74例)年龄在41 - 60岁之间。大约30%(36人)在过去两年中接种了流感疫苗,70%(84人)没有接种。在总样本中,只有46%(55人)对流感疫苗持积极态度;在接种流感疫苗的人中,这一比例增加到91%(33%)。流感疫苗接种的主要驱动因素是普通医生(GP)推荐[50%(18)]和患者主动[47%(17)]。接种流感疫苗的主要障碍是缺乏对其必要性的信念[52%(44)],流感轻度严重程度的经验[30%(25)],以及缺乏全科医生推荐[25%(21)]。医生、专门的网站和家庭成员是关于流感最常见的信息来源。即使在接种流感疫苗的人中,也只有17%(6)的人了解不接种疫苗的风险。未接种流感疫苗的患者对这一信息非常不满意。人们想要更多关于谁不应该接种流感疫苗的信息。未接种疫苗的患者寻求有关副作用和疗效的信息。只有40%(48)的答复者说,他们将来可能/极有可能接种流感疫苗。结论:卫生保健从业者是影响人们接种疫苗的关键因素。捷克共和国需要加强宣传流感疫苗对非传染性疾病患者的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influenza Vaccination Among Patients with Noncommunicable Diseases: A Survey About Awareness, Usage, and Unmet Needs in the Czech Republic.

Background: People with noncommunicable diseases (NCDs) are at a higher risk of contracting vaccine-preventable diseases, such as influenza, with a higher likelihood of severity and complications. However, the immunization rates for the influenza vaccine among this population in the Czech Republic are very low.

Objective: This survey, among adults with NCDs in the Czech Republic, assessed the knowledge, attitudes, and gaps toward vaccination in general and influenza vaccination in particular.

Methods: The survey was conducted between February 2023 and March 2023 among patients with NCDs in the Czech Republic. A structured web-based questionnaire with open-ended questions was administered. This study is a preplanned subgroup ancillary analysis of a previous multicentric study conducted on 1106 patients.

Results: In all, 120 patients were enrolled, with 62% (74) aged between 41 and 60 years. Approximately 30% (36) had taken the influenza vaccine in the last 2 years and 70% (84) had not. Of the total sample, only 46% (55) had a positive opinion about influenza vaccines; this increased to 91% (33) among those vaccinated against the influenza virus. The main drivers of influenza vaccination were general physician (GP) recommendation [50% (18)] and patient initiative [47% (17)]. The main barriers to the influenza vaccine were lack of belief regarding its need [52% (44)], experience of mild severity of influenza [30% (25)], and lack of GP recommendation [25% (21)]. Physicians, dedicated websites, and family members are the most common sources of information regarding influenza. Even among those vaccinated for influenza, only 17% (6) had information about the risk of not taking the vaccine. A high level of dissatisfaction with the information was found among patients not vaccinated against influenza. People wanted more information on who should not receive the influenza vaccination. Unvaccinated patients sought information on side effects and efficacy. Only 40% (48) of the respondents said that they are likely/extremely likely to take an influenza vaccination in the future.

Conclusions: Healthcare practitioners are the key influencers for people to get vaccinated. The dissemination of information about the importance of influenza vaccines for people with NCDs needs to be increased in the Czech Republic.

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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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