Protocol for a Realist Review of mHealth in Lung Cancer Screening: Understanding Mechanisms, Contexts, and Intervention Characteristics for Enhanced Participation

<ns3:p>Introduction Lung cancer, the leading cause of cancer death worldwide, is often diagnosed at advanced stages leading to a poorer prognosis. Mobile health (mHealth) interventions, which are healthcare technology utilizing mobile or other wireless technology, promise enhanced early detection by optimising lung cancer screening (LCS) implementation. However, their efficacy across various patient demographics and the underlying mechanisms that influence LCS success remain unclear and underexplored. Aim To explore the efficacy of mHealth interventions in promoting LCS uptake, focusing on patient demographics, intervention characteristics, and the underlying mechanisms and contexts influencing their effectiveness. Methods This realist review will employ an iterative literature search in databases such as PubMed, Scopus, Web of Science, and Embase. Selected studies will be assessed for relevance and rigour, extracting data on mHealth features, patient demographics, and intervention outcomes. Data will be analysed thematically to describe relationships between intervention mechanisms, contexts, and outcomes. Additionally, engagement from key stakeholders, including health experts and patients, will be sought during the synthesis phase. Conclusion This review aims to offer a comprehensive understanding of how and why mHealth interventions can influence LCS uptake and be effective across different patient demographics. These findings will provide insights into optimising mHealth interventions for LCS, potentially leading to earlier detections and improved patient outcomes.</ns3:p>

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Publication Details

Journal
HRB Open Research
Published
2025-12-05
DOI
https://doi.org/10.12688/hrbopenres.13926.2
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
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article

Protocol for a Realist Review of mHealth in Lung Cancer Screening: Understanding Mechanisms, Contexts, and Intervention Characteristics for Enhanced Participation

Benjamin M. Jacob, Nick Clarke, Áine Harris, Frank Doyle et al.
HRB Open Research
Lung Cancer Diagnosis and Treatment
article

Protocol for a Realist Review of mHealth in Lung Cancer Screening: Understanding Mechanisms, Contexts, and Intervention Characteristics for Enhanced Participation

Benjamin M. Jacob, Nick Clarke, Áine Harris, Frank Doyle, Patrick Redmond, Seamus Cotter, Shusheng Gong, Alan D. Smith, Killian Ross Walsh, Kanishka Raval
article en

Abstract

<ns3:p>Introduction Lung cancer, the leading cause of cancer death worldwide, is often diagnosed at advanced stages leading to a poorer prognosis. Mobile health (mHealth) interventions, which are healthcare technology utilizing mobile or other wireless technology, promise enhanced early detection by optimising lung cancer screening (LCS) implementation. However, their efficacy across various patient demographics and the underlying mechanisms that influence LCS success remain unclear and underexplored. Aim To explore the efficacy of mHealth interventions in promoting LCS uptake, focusing on patient demographics, intervention characteristics, and the underlying mechanisms and contexts influencing their effectiveness. Methods This realist review will employ an iterative literature search in databases such as PubMed, Scopus, Web of Science, and Embase. Selected studies will be assessed for relevance and rigour, extracting data on mHealth features, patient demographics, and intervention outcomes. Data will be analysed thematically to describe relationships between intervention mechanisms, contexts, and outcomes. Additionally, engagement from key stakeholders, including health experts and patients, will be sought during the synthesis phase. Conclusion This review aims to offer a comprehensive understanding of how and why mHealth interventions can influence LCS uptake and be effective across different patient demographics. These findings will provide insights into optimising mHealth interventions for LCS, potentially leading to earlier detections and improved patient outcomes.</ns3:p>

HRB Open ResearchVol. 8
University College Dublin (IE), Irish Cancer Society (IE), Health Service Executive (IE), Dublin City University (IE)
Openalex Percentile: Top 43%
Lung Cancer Diagnosis and Treatment
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