Using User-Centered Design to Facilitate Adherence to Annual Lung Cancer Screening: Protocol for a Mixed Methods Study for Intervention Development

Author:

Hirsch Erin AORCID,Studts Jamie LORCID

Abstract

Background Lung cancer is the leading cause of cancer-related death in the United States, with the majority of lung cancer occurrence diagnosed after the disease has already metastasized. Lung cancer screening (LCS) with low-dose computed tomography can diagnose early-stage disease, especially when eligible individuals participate in screening on a yearly basis. Unfortunately, annual adherence has emerged as a challenge for academic and community screening programs, endangering the individual and population health benefits of LCS. Reminder messages have effectively increased adherence rates in breast, colorectal, and cervical cancer screenings but have not been tested with LCS participants who experience unique barriers to screening associated with the stigma of smoking and social determinants of health. Objective This research aims to use a theory-informed, multiphase, and mixed methods approach with LCS experts and participants to develop a set of clear and engaging reminder messages to support LCS annual adherence. Methods In aim 1, survey data informed by the Cognitive-Social Health Information Processing model will be collected to assess how LCS participants process health information aimed at health protective behavior to develop content for reminder messages and pinpoint options for message targeting and tailoring. Aim 2 focuses on identifying themes for message imagery through a modified photovoice activity that asks participants to identify 3 images that represent LCS and then participate in an interview about the selection, likes, and dislikes of each photo. A pool of candidate messages for multiple delivery platforms will be developed in aim 3, using results from aim 1 for message content and aim 2 for imagery selection. The refinement of message content and imagery combinations will be completed through iterative feedback from LCS experts and participants. Results Data collection began in July 2022 and will be completed by May 2023. The final reminder message candidates are expected to be completed by June 2023. Conclusions This project proposes a novel approach to facilitate adherence to annual LCS through the development of reminder messages that embrace content and imagery representative of the target population directly in the design process. Developing effective strategies to increase LCS adherence is instrumental in achieving optimal LCS outcomes at individual and population health levels. International Registered Report Identifier (IRRID) DERR1-10.2196/46657

Publisher

JMIR Publications Inc.

Subject

General Medicine

Reference56 articles.

1. Special Section: Lung CancerACS Cancer Facts and Figures 202320232023-02-10https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2023/2023-cff-special-section-lung-cancer.pdf

2. Surveillance, Epidemiology, and End Results Program: cancer stat facts: lung and bronchus cancerNational Cancer Institute2023-02-10https://seer.cancer.gov/statfacts/html/lungb.html

3. Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

4. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

5. Final Recommendation Statement. Lung Cancer: ScreeningPreventive Services Task Force201312312023-02-10https://www.uspreventiveservicestaskforce.org/uspstf/recommendation/lung-cancer-screening-december-2013

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