International journal of women's health · 2025
Exploring Theoretical Models and Frameworks Used to Explain Factors Influencing Breast Cancer Screening Participation: A Scoping Review.
СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Haneda Hiroki, Oshino Tomohiro, Mori Hinata, Niwa Rumi, Shikishima Karin, Li Dong, Moriya Yumi, Kuwahara Sayuri, Yoshida Nana, Hosoda Mitsuchika, Takahashi Masato
Аннотация
OBJECTIVE: The purpose of this study was to explore theoretical models and frameworks used to guide research studies that explain factors influencing participation in breast cancer screening (BCS).
METHODS: This study was conducted according to the framework developed by Arksey and O'Malley and reported in line with the PRISMA-ScR guidelines. A comprehensive search was performed across six databases: PubMed, Embase, CNKI, Scopus, EBSCO, and the Cochrane Library. Two researchers independently screened titles and abstracts. Data extraction and cross-checking were conducted on included studies, with a third researcher facilitating consensus in cases of disagreement. Extracted information included author, publication year, country, research methods, sample size, age, theoretical framework, and outcomes. A pre-designed form ensured consistency and accuracy in data extraction.
RESULTS: A total of 70 studies were included. The studies were primarily cross-sectional (66/70, 94.29%), with the largest geographical locations being the United States (16/70, 22.86%), Iran (15/70, 21.43%), and China (9/70, 12.86%). The review identified 13 models, with Health Belief Model being the most commonly used (21/70, 30.0%), followed by Andersen's Behavioral Model (11/70, 15.71%) and Theory of Planned Behavior (8/70, 11.43%). The Health Belief Model emerged as the most empirically supported framework across all studies, particularly effective in identifying economic barriers and trust issues within healthcare systems among low-income and low-health literacy populations. This model has also been incorporated into more comprehensive frameworks, demonstrating strong predictive power and practical applicability with additional variables. All models offer distinct strengths, but their predictive power largely depends on research contexts and target populations. These variations may result in an incomplete or unreliable understanding of factors influencing BCS behavior.
CONCLUSION: The findings provide a comprehensive summary of the models and frameworks employed to investigate factors influencing BCS over the past decade. These insights have significant implications for designing targeted healthcare interventions and informing policy changes to enhance global BCS participation and reduce disparities. Future refinements of these models are expected to improve their applicability and effectiveness across diverse populations and settings.
METHODS: This study was conducted according to the framework developed by Arksey and O'Malley and reported in line with the PRISMA-ScR guidelines. A comprehensive search was performed across six databases: PubMed, Embase, CNKI, Scopus, EBSCO, and the Cochrane Library. Two researchers independently screened titles and abstracts. Data extraction and cross-checking were conducted on included studies, with a third researcher facilitating consensus in cases of disagreement. Extracted information included author, publication year, country, research methods, sample size, age, theoretical framework, and outcomes. A pre-designed form ensured consistency and accuracy in data extraction.
RESULTS: A total of 70 studies were included. The studies were primarily cross-sectional (66/70, 94.29%), with the largest geographical locations being the United States (16/70, 22.86%), Iran (15/70, 21.43%), and China (9/70, 12.86%). The review identified 13 models, with Health Belief Model being the most commonly used (21/70, 30.0%), followed by Andersen's Behavioral Model (11/70, 15.71%) and Theory of Planned Behavior (8/70, 11.43%). The Health Belief Model emerged as the most empirically supported framework across all studies, particularly effective in identifying economic barriers and trust issues within healthcare systems among low-income and low-health literacy populations. This model has also been incorporated into more comprehensive frameworks, demonstrating strong predictive power and practical applicability with additional variables. All models offer distinct strengths, but their predictive power largely depends on research contexts and target populations. These variations may result in an incomplete or unreliable understanding of factors influencing BCS behavior.
CONCLUSION: The findings provide a comprehensive summary of the models and frameworks employed to investigate factors influencing BCS over the past decade. These insights have significant implications for designing targeted healthcare interventions and informing policy changes to enhance global BCS participation and reduce disparities. Future refinements of these models are expected to improve their applicability and effectiveness across diverse populations and settings.