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出生后第一年的健康访视如何因家庭特征而有所不同?基于行政数据的纵向分析。

How does health visiting in the first year of life vary by family characteristics? A longitudinal analysis of administrative data.

作者信息

Bunting C, Clery A, McGrath-Lone L, Liu M, Kendall S, Bedford H, Cavallaro F, Saloniki E C, Harron K, Woodman J

机构信息

UCL Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK.

Social Research Institute, University College London, London WC1H 0AA, UK.

出版信息

J Public Health (Oxf). 2025 Feb 28;47(1):82-89. doi: 10.1093/pubmed/fdae259.

DOI:10.1093/pubmed/fdae259
PMID:39285663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11879038/
Abstract

BACKGROUND

The health visiting service in UK promotes the health and wellbeing of families with young children and comprises a universal offer (three mandated contacts between birth and 12 months) and additional contacts based on need. We aimed to understand how the level of health visiting support received varies by family characteristics.

METHODS

Using the Community Services Data Set linked to Hospital Episode Statistics, we identified 52 555 children in 10 local authorities with complete health visiting data for 12 months between April 2016 and March 2020. We analysed variation in health visiting contacts by deprivation, child ethnicity, maternal age, adversity and previous live births.

RESULTS

41 340/52 555 children (79%) received the universal service; 63% received ≥1 additional contact and 25% received ≥3 additional contacts. The likelihood of receiving ≥3 additional contacts was greatest for children whose mothers had a history of hospital admissions relating to mental health, violence, self-harm or substance misuse (adjusted relative risk = 1.55, 95% confidence interval 1.26-1.92).

CONCLUSIONS

Most families received health visiting support in addition to the universal service. Policymakers and commissioners should consider how health visiting services can be expanded or targeted more effectively to ensure all families receive the support they need.

摘要

背景

英国的健康访视服务旨在促进有幼儿家庭的健康和福祉,包括一项普及服务(出生至12个月期间的三次法定接触)以及根据需求提供的额外接触。我们旨在了解所接受的健康访视支持水平如何因家庭特征而异。

方法

利用与医院 Episode 统计数据相关联的社区服务数据集,我们在10个地方当局中识别出52555名儿童,这些儿童在2016年4月至2020年3月期间有完整的12个月健康访视数据。我们分析了按贫困程度、儿童种族、母亲年龄、逆境和以前的活产数划分的健康访视接触差异。

结果

52555名儿童中有41340名(79%)接受了普及服务;63%的儿童接受了≥1次额外接触,25%的儿童接受了≥3次额外接触。母亲有与心理健康、暴力、自残或药物滥用相关的住院史的儿童接受≥3次额外接触的可能性最大(调整后的相对风险 = 1.55,95%置信区间1.26 - 1.92)。

结论

大多数家庭除了接受普及服务外,还获得了健康访视支持。政策制定者和服务提供者应考虑如何更有效地扩大或针对性地提供健康访视服务,以确保所有家庭都能获得他们所需的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11879038/ed9dfc9b7c93/fdae259f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11879038/d698faa5d050/fdae259f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11879038/ed9dfc9b7c93/fdae259f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11879038/d698faa5d050/fdae259f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b8/11879038/ed9dfc9b7c93/fdae259f2.jpg

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本文引用的文献

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BMJ Public Health. 2024 Feb 20;2(1):e000514. doi: 10.1136/bmjph-2023-000514. eCollection 2024 Jun.
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Local area variation in health visiting contacts across England for children under age 5: a cross-sectional analysis of administrative data in England 2018-2020.英格兰5岁以下儿童健康访视接触的地区差异:2018 - 2020年英格兰行政数据的横断面分析
Int J Popul Data Sci. 2024 May 13;9(2):2382. doi: 10.23889/ijpds.v9i2.2382. eCollection 2024.
3
How should policymakers, funders, and research teams mobilize to build the evidence base on universal early years services?政策制定者、资助者和研究团队应如何动员起来,以建立关于普及早期服务的证据基础?
Prim Health Care Res Dev. 2024 Dec 10;25:e67. doi: 10.1017/S1463423624000550.
4
Can administrative data be used to research health visiting in England? A completeness assessment of the Community Services Dataset.行政数据能否用于研究英格兰的健康访视?社区服务数据集的完整性评估。
Int J Popul Data Sci. 2024 Jun 20;9(1):2385. doi: 10.23889/ijpds.v9i1.2385. eCollection 2024.
5
Variation in health visiting contacts for children in England: cross-sectional analysis of the 2-2½ year review using administrative data (Community Services Dataset, CSDS).英格兰儿童健康访视接触情况的变化:使用行政数据(社区服务数据集,CSDS)对 2-2 岁半审查的横断面分析。
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Health visiting in England: The impact of the COVID-19 pandemic.英格兰的健康访视:COVID-19 大流行的影响。
Public Health Nurs. 2022 Jul;39(4):820-830. doi: 10.1111/phn.13053. Epub 2022 Jan 31.
7
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Linking Data for Mothers and Babies in De-Identified Electronic Health Data.在去识别化电子健康数据中关联母婴数据
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