The Role of the Health Belief Model in Explaining Why Symptomatic Iranian Women Hesitate to Seek Early Screening for Breast Cancer: a Qualitative Study.
Ali RamezankhaniMohammad Esmaeel AkbariHamid SooriKamel GhobadiFatemeh HosseiniPublished in: Journal of cancer education : the official journal of the American Association for Cancer Education (2023)
Early detection of breast cancer (BC) is important to increase the likelihood of treatment and improve the quality of life and survival. The study explored why symptomatic women linger to seek early screening for BC diagnosis based on the health belief model (HBM). In this qualitative study, 20 participants were selected using the purposive sampling method (9 health professionals and 11 female patients BC). Data were collected using in-depth, semi-structured interviews in 2019. Transcribed interview data were analyzed using the directed content analysis informed by HBM. According to the participants' experiences, although most patients comprehended the extent of the disease, they did not see themselves at risk of BC. Some were not adequately aware of the benefits of early diagnosis and did not have the self-efficacy required for early presentation. The main barriers to the early presentation included lack of awareness, financial problems, embarrassment over the clinical examination, and inadequate access to specialized centers. According to HBM, while designing and implementing educational programs, it is recommended to focus on reinforcing perceived susceptibility, perceived benefits, and perceived self-efficacy, providing access to facilities, and removing possible barriers and cultural issues to encourage women for timely referral for BC screening.
Keyphrases
- mental health
- end stage renal disease
- polycystic ovary syndrome
- chronic kidney disease
- ejection fraction
- healthcare
- public health
- depressive symptoms
- social support
- newly diagnosed
- physical activity
- prognostic factors
- primary care
- risk assessment
- machine learning
- pregnancy outcomes
- adipose tissue
- insulin resistance
- peritoneal dialysis
- big data
- case report
- quality improvement
- health information
- patient reported