ArticleJMIR research protocols2025
A Population Health and Lifestyle Survey of a Coastal City in England (Health Counts 2024): Protocol for a Cross-Sectional Study.
Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth and lifestyle population surveys are important in public health to identify trends, provide data to monitor the effectiveness and reach of public health initiatives and policies, and help allocate health resources more equitably. Surveys are a methodologically robust way of examining the inequalities in health outcomes or access to resources across a number of sociodemographic groups in a defined geographic area. This particular public health survey will provide information that cannot be obtained from other sources.
objectiveThe aim of the study is to generate comprehensive public health-relevant data from an adult population in a defined geographic coastal area of South East England.
methodsA cross-sectional, noninterventional (observational) health and lifestyle population survey was developed using a mobile-first design approach to recruitment, with the content drawing on a previous iteration of the survey in 2012. Previous Health Counts surveys in this region have been conducted approximately every 10 years since 1992 to provide data about trends over time. Extensive rounds of consultation and testing took place between October 2023 and February 2024. The final survey comprised 102 questions structured around 13 contemporary public health-related issues in the United Kingdom. Survey distribution was carried out in 2 rounds of SMS text messaging through all general practices in Brighton and Hove involving all adults registered with a general practice and having a mobile phone who had not opted out of communications. Advertising across a range of public-facing initiatives was also used, as well as targeted outreach activities for potentially marginalized groups, for example, in public libraries and community groups. Enrollment took place between March 18, 2024, and April 28, 2024.
resultsA total of 26,014 eligible people responded. Data analysis has started, and results will be reported later in 2025.
conclusionsUnderstanding trends in population inequalities over time as well as gaining insights into new areas for the very first time, Health Counts 2024 data can inform decision-making on strategies to improve health and reduce inequalities by local authorities in not only England and the National Health Service but also potentially across other European cities through the effective dissemination and sharing of promising practices as an integral part of evidence-based public health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/64001.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.