The preferences of breast cancer patients regarding a digital social care platform
Abstract Background Breast cancer is a multifaceted condition affecting women globally, with patients often facing emotional, psychological, and social challenges. This study explored breast cancer patients’ preferences for features of a digital social care platform. Methods A cross-sectional study...
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| Format: | Article |
| Language: | English |
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BMC
2025-05-01
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| Series: | BMC Women's Health |
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| Online Access: | https://doi.org/10.1186/s12905-025-03792-2 |
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| author | Sima Rafiei Peigham Heidarpoor Saber Souri Zahra Nejatifar Mohammad Amerzadeh |
| author_facet | Sima Rafiei Peigham Heidarpoor Saber Souri Zahra Nejatifar Mohammad Amerzadeh |
| author_sort | Sima Rafiei |
| collection | DOAJ |
| description | Abstract Background Breast cancer is a multifaceted condition affecting women globally, with patients often facing emotional, psychological, and social challenges. This study explored breast cancer patients’ preferences for features of a digital social care platform. Methods A cross-sectional study using Conjoint Analysis (CA), grounded in economic utility theory, was conducted. A Discrete Choice Experiment (DCE) questionnaire was administered to 158 breast cancer patients at a university hospital in Iran between November 2023 and January 2024. Data were analysed using ordered logistic regression in Stata 13. Results All platform attributes significantly influenced preferences (P ≤ 0.05). Emotional support had the highest impact (β = 1.132), followed by informational (β = 0.973) and esteem support (β = 0.864). Instructional videos increased the likelihood of choosing a digital platform 2.45 times compared to text-based messages (P < 0.001). Personalized online support was 1.42 times more preferred than generic supportive messages (P < 0.001). Mindfulness affirmations were 1.14 times more preferred than inspirational messages (P < 0.001). Conclusion Digital tools that prioritize emotional, informational, and esteem support—especially through personalized online support and instructional videos can improve patient engagement and acceptability. These findings support the patient-centred design of digital social care platforms to enhance quality of life for breast cancer patients. |
| format | Article |
| id | doaj-art-2f32bdc0d4794347afe7cef3cd47eace |
| institution | OA Journals |
| issn | 1472-6874 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Women's Health |
| spelling | doaj-art-2f32bdc0d4794347afe7cef3cd47eace2025-08-20T02:29:46ZengBMCBMC Women's Health1472-68742025-05-0125111010.1186/s12905-025-03792-2The preferences of breast cancer patients regarding a digital social care platformSima Rafiei0Peigham Heidarpoor1Saber Souri2Zahra Nejatifar3Mohammad Amerzadeh4Social Determinants of Health Research Center, Research Institute for Prevention of Non- Communicable Diseases, Qazvin University of Medical SciencesDepartment of Community Based Education of Health Sciences, School of Medical Education and Learning Technologies, Shahid Beheshti University of Medical SciencesStudent Research Committee, School of Public Health, Qazvin University of Medical SciencesStudent Research Committee, School of Public Health, Qazvin University of Medical SciencesSocial Determinants of Health Research Center, Research Institute for Prevention of Non- Communicable Diseases, Qazvin University of Medical SciencesAbstract Background Breast cancer is a multifaceted condition affecting women globally, with patients often facing emotional, psychological, and social challenges. This study explored breast cancer patients’ preferences for features of a digital social care platform. Methods A cross-sectional study using Conjoint Analysis (CA), grounded in economic utility theory, was conducted. A Discrete Choice Experiment (DCE) questionnaire was administered to 158 breast cancer patients at a university hospital in Iran between November 2023 and January 2024. Data were analysed using ordered logistic regression in Stata 13. Results All platform attributes significantly influenced preferences (P ≤ 0.05). Emotional support had the highest impact (β = 1.132), followed by informational (β = 0.973) and esteem support (β = 0.864). Instructional videos increased the likelihood of choosing a digital platform 2.45 times compared to text-based messages (P < 0.001). Personalized online support was 1.42 times more preferred than generic supportive messages (P < 0.001). Mindfulness affirmations were 1.14 times more preferred than inspirational messages (P < 0.001). Conclusion Digital tools that prioritize emotional, informational, and esteem support—especially through personalized online support and instructional videos can improve patient engagement and acceptability. These findings support the patient-centred design of digital social care platforms to enhance quality of life for breast cancer patients.https://doi.org/10.1186/s12905-025-03792-2Digital healthBreast cancerSocial carePatient preferencesDiscrete choice experimentConjoint analysis |
| spellingShingle | Sima Rafiei Peigham Heidarpoor Saber Souri Zahra Nejatifar Mohammad Amerzadeh The preferences of breast cancer patients regarding a digital social care platform BMC Women's Health Digital health Breast cancer Social care Patient preferences Discrete choice experiment Conjoint analysis |
| title | The preferences of breast cancer patients regarding a digital social care platform |
| title_full | The preferences of breast cancer patients regarding a digital social care platform |
| title_fullStr | The preferences of breast cancer patients regarding a digital social care platform |
| title_full_unstemmed | The preferences of breast cancer patients regarding a digital social care platform |
| title_short | The preferences of breast cancer patients regarding a digital social care platform |
| title_sort | preferences of breast cancer patients regarding a digital social care platform |
| topic | Digital health Breast cancer Social care Patient preferences Discrete choice experiment Conjoint analysis |
| url | https://doi.org/10.1186/s12905-025-03792-2 |
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