Carter, J;
Goldsmith, LP;
Knights, F;
Deal, A;
Jayakumar, S;
Crawshaw, AF;
Seedat, F;
Aspray, N;
Zenner, D;
Harris, P;
et al.
Carter, J; Goldsmith, LP; Knights, F; Deal, A; Jayakumar, S; Crawshaw, AF; Seedat, F; Aspray, N; Zenner, D; Harris, P; Ciftci, Y; Wurie, F; Majeed, A; Harris, T; Matthews, P; Hall, R; Requena-Mendez, A; Hargreaves, S
(2024)
Health Catch-UP!: a realist evaluation of an innovative multi-disease screening and vaccination tool in UK primary care for at-risk migrant patients.
BMC Med, 22 (1).
p. 497.
ISSN 1741-7015
https://doi.org/10.1186/s12916-024-03713-4
SGUL Authors: Hargreaves, Sally
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Abstract
BACKGROUND: Migrants to the UK face disproportionate risk of infections, non-communicable diseases, and under-immunisation compounded by healthcare access barriers. Current UK migrant screening strategies are unstandardised with poor implementation and low uptake. Health Catch-UP! is a collaboratively produced digital clinical decision support system that applies current guidelines (UKHSA and NICE) to provide primary care professionals with individualised multi-disease screening (7 infectious diseases/blood-borne viruses, 3 chronic parasitic infections, 3 non-communicable disease or risk factors) and catch-up vaccination prompts for migrant patients. METHODS: We carried out a mixed-methods process evaluation of Health Catch-UP! in two urban primary healthcare practices to integrate Health Catch-UP! into the electronic health record system of primary care, using the Medical Research Council framework for complex intervention evaluation. We collected quantitative data (demographics, patients screened, disease detection and catch-up vaccination rates) and qualitative participant interviews to explore acceptability and feasibility. RESULTS: Ninety-nine migrants were assessed by Health Catch-UP! across two sites (S1, S2). 96.0% (n = 97) had complete demographics coding with Asia 31.3% (n = 31) and Africa 25.2% (n = 25), the most common continents of birth (S1 n = 92 [48.9% female (n = 44); mean age 60.6 years (SD 14.26)]; and S2 n = 7 [85.7% male (n = 6); mean age 39.4 years (SD16.97)]. 61.6% (n = 61) of participants were eligible for screening for at least one condition and uptake of screening was high 86.9% (n = 53). Twelve new conditions were identified (12.1% of study population) including hepatitis C (n = 1), hypercholesteraemia (n = 6), pre-diabetes (n = 4), and diabetes (n = 1). Health Catch-UP! identified that 100% (n = 99) of patients had no immunisations recorded; however, subsequent catch-up vaccination uptake was poor (2.0%, n = 1). Qualitative data supported acceptability and feasibility of Health Catch-UP! from staff and patient perspectives, and recommended Health Catch-UP! integration into routine care (e.g. NHS health checks) with an implementation package including staff and patient support materials, standardised care pathways (screening and catch-up vaccination, laboratory, and management), and financial incentivisation. CONCLUSIONS: Clinical Decision Support Systems like Health Catch-UP! can improve disease detection and implementation of screening guidance for migrant patients but require robust testing, resourcing, and an effective implementation package to support both patients and staff.
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Additional Information: | © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | ||||||||||||||||||||||||||||||||||||
Keywords: | Clinical decision support tool, Digital solutions, Infectious disease, Migrant health, Multi-disease, Non-communicable disease, Primary care, Screening, Vaccination, Humans, Primary Health Care, United Kingdom, Male, Female, Transients and Migrants, Adult, Vaccination, Mass Screening, Middle Aged, Young Adult, Humans, Mass Screening, Vaccination, Adult, Middle Aged, Transients and Migrants, Primary Health Care, Female, Male, Young Adult, United Kingdom, 11 Medical and Health Sciences, General & Internal Medicine | ||||||||||||||||||||||||||||||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Infection and Immunity Research Institute (INII) | ||||||||||||||||||||||||||||||||||||
Journal or Publication Title: | BMC Med | ||||||||||||||||||||||||||||||||||||
ISSN: | 1741-7015 | ||||||||||||||||||||||||||||||||||||
Language: | eng | ||||||||||||||||||||||||||||||||||||
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Publisher License: | Creative Commons: Attribution 4.0 | ||||||||||||||||||||||||||||||||||||
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PubMed ID: | 39468557 | ||||||||||||||||||||||||||||||||||||
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URI: | https://openaccess.sgul.ac.uk/id/eprint/116923 | ||||||||||||||||||||||||||||||||||||
Publisher's version: | https://doi.org/10.1186/s12916-024-03713-4 |
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