Assessing the efficacy of behaviourally informed invitation messaging in increasing attendance at the NHS Targeted Lung Health Check

A randomised experimental study evaluating the effectiveness of four behaviourally informed invitation messages compared with a standard NHS control message in increasing intention to attend the Targeted Lung Health Check (TLHC).

Authors

Xiaozhou Tan¹, Martin Danka², Terence McElvaney³, Szymon Urbanski³, Pam Kitsawat³, Dan Berry³, Shyma Jundi³, Lucy Porter¹, Chiara Gericke¹²

¹ UCL Department of Clinical Educational and Health Psychology, Centre for Behaviour Change

² UCL Institute of Epidemiology and Healthcare

³ NHS England

Publication

Manuscript pending submission to BMC Respiratory Research.

Data

Data is publicly available at OSF: https://osf.io/qvjwy/files/osfstorage/663cf46d419d00400cfea245

The codebook is included in the same Excel file.

Scripts

Script	Description
01-data-cleaning.R	Data cleaning and preparation
02-main-analysis.R	Percentile bootstrapped ANOVA and paired t-tests for post-hoc analysis
03-mediation.R	Mediation analysis
04-qualitative-analysis.R	Descriptive analysis for qualitative data

Reproducibility

Requirements

• R version 4.4.3
• Package dependencies managed via renv

Setup

1. Clone this repository
2. Open the R project (TLHC Script.Rproj)
3. Run renv::restore() to install required packages
4. Run scripts in order, starting with 01-data-cleaning.R

Contact

For questions, contact Xiaozhou Tan at xiaozhou.t@outlook.com