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影响儿童免疫接种率的因素:定性与定量证据的贝叶斯综合分析

Factors affecting uptake of childhood immunisation: a Bayesian synthesis of qualitative and quantitative evidence.

作者信息

Roberts Karen A, Dixon-Woods Mary, Fitzpatrick Ray, Abrams Keith R, Jones David R

机构信息

Epidemiology and Public Health, University of Leicester, Leicester, UK.

出版信息

Lancet. 2002 Nov 16;360(9345):1596-9. doi: 10.1016/S0140-6736(02)11560-1.

Abstract

Falls in levels of measles, mumps, and rubella (MMR) immunisation in the UK and the continuing debate on how to respond to this situation emphasise the importance of identifying and understanding the factors that affect the uptake of recommended childhood immunisations. Both qualitative and quantitative evidence could be useful in this process. We aimed to explore the feasibility and value of an approach to formal synthesis of qualitative and quantitative evidence in the context of factors affecting the uptake of childhood immunisation in developed countries. We used a Bayesian approach to meta-analysis. Evidence from 11 qualitative and 32 quantitative studies of factors affecting uptake of childhood immunisation was combined and assessed. We conclude that use of either qualitative or quantitative research alone might not identify all relevant factors, or might result in inappropriate judgments about their importance, and could thus lead to inappropriate formulation of evidence-based policy. Further development of our methods might enable rigorous synthesis of qualitative and quantitative evidence in this and other contexts.

摘要

英国麻疹、腮腺炎和风疹(MMR)疫苗接种率下降,以及围绕如何应对这一情况的持续争论,凸显了识别和理解影响儿童推荐免疫接种接受率因素的重要性。定性和定量证据在这一过程中都可能有用。我们旨在探讨在发达国家影响儿童免疫接种接受率的因素背景下,对定性和定量证据进行正式综合分析方法的可行性和价值。我们采用贝叶斯荟萃分析方法。对11项关于影响儿童免疫接种接受率因素的定性研究和32项定量研究的证据进行了合并和评估。我们得出结论,单独使用定性或定量研究可能无法识别所有相关因素,或者可能对其重要性做出不恰当的判断,从而可能导致基于证据的政策制定不当。我们方法的进一步发展可能会使在这一及其他背景下对定性和定量证据进行严格综合分析成为可能。

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