How does health visiting in the first year of life vary by family characteristics? A longitudinal analysis of administrative data
Year: 2024
Type: article
Study design: Observational Study
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.
Source: Journal of Public Health
Language: English
Topic: Child and Adolescent Health
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,690
Awards: G1562141213, G3531187346, G3648608931, Which health visiting models in England are most promising for mitigating the harms of maternal related Adverse Child Experiences?, G7214758323, Evaluation of the 0-5 Public Health Investment in England: a mixed methods study integrating analyses of national linked administrative data with in-depth case studies
OpenAlex ID: W4402571909
