Silas Selorm Daniels-Donkor

Despite growing literature on cultural and religious influences on breast cancer diagnosis and treatment choices in Ghana, limited empirical evidence focuses specifically on women undergoing chemotherapy and how these beliefs shape their treatment trajectories within tertiary care settings. This study explored the sociocultural and religious influences on patients with breast cancer undergoing chemotherapy at Ho Teaching Hospital, Ghana. A qualitative descriptive phenomenological approach was employed. A purposive sampling technique was employed to recruit 14 patients with breast cancer undergoing chemotherapy. Face-to-face interviews were conducted, and all interviews were transcribed verbatim. Data were analyzed using Colaizzi’s descriptive phenomenological method. Three major themes emerged: (1) knowledge and understanding of breast cancer and chemotherapy, (2) sociocultural influences on the acceptance of chemotherapy, and (3) religious and spiritual influences on chemotherapy acceptance and uptake. Participants showed varying knowledge of breast cancer and chemotherapy; however, misconceptions surrounding cancer causation, particularly beliefs linking breast cancer to curses and spiritual attacks, contributed to delays and reluctance toward biomedical treatment. Family members, religious leaders, and faith communities played important roles in shaping treatment decisions by providing emotional encouragement, spiritual guidance, and financial support. This study highlights the significant impact of socio-cultural and religious factors on chemotherapy acceptance among breast cancer patients in Ghana. The findings emphasize the need for culturally sensitive patient education, stigma reduction efforts, and collaboration with religious and community leaders. Addressing sociocultural barriers can enhance timely access and adherence to life-saving treatment.

Background: Diagnostic follow‐up times after abnormal screening mammography vary widely across facilities. However, whether the use of digital breast tomosynthesis (DBT) is associated with follow‐up timeliness, independent of facility context factors, remains unclear. Objective: To evaluate the extent to which facility mammography volume accounts for the association between facility‐level DBT use proportion and recall delay after abnormal screening mammography in Appalachia. Methods: We linked 2016–2018 Medicare fee‐for‐service claims to facility survey data from screening facilities in five Appalachian states (KY, OH, PA, VA, and WV). Recall delay was modeled using linear mixed‐effects models with random intercepts for facility and beneficiary. The models adjusted for DBT use proportion, capacity score, age, race, dual Medicare–Medicaid eligibility, deprivation, rurality, and stand‐alone status. To assess whether facility mammography volume accounted for the association between DBT use proportion and recall delay, we compared two models fitted to the same analytic sample with the same covariates. The models differed only in whether facility mammography volume was included. We estimated 95% confidence intervals for the difference in the DBT coefficient using 5000 bootstrap resamples. Facility‐level models and exploratory mediation analyses were conducted as complementary analyses. Results: DBT use proportion was associated with higher facility mammography volume after adjustment for capacity score and facility covariates ( β = 0.614, 95% CI [0.170, 1.058], p = 0.007). After adjustment for capacity score, a 1‐SD higher facility mammography volume was associated with shorter recall delay ( β = −1.103 days, 95% CI [−2.074, −0.132], p = 0.028). The DBT coefficient changed from −0.970 days before adding facility volume to −0.402 days after volume adjustment, corresponding to a raw coefficient change of 0.568 days (95% bootstrap CI [0.130, 1.088]). The complementary facility‐level model estimated a corresponding raw coefficient change of 0.620 days (95% bootstrap CI [0.149, 1.143]). An exploratory mediation analysis adjusted for capacity score and facility covariates estimated an indirect estimate through facility mammography volume of −0.620 days (95% CI [−1.111, −0.146], p = 0.004). The direct and total estimates were not statistically significant. Conclusions: Facility‐level DBT use proportion was positively associated with facility mammography volume, and higher facility mammography volume was associated with shorter recall delay after adjustment for the capacity score. The association between DBT use proportion and recall delay was not statistically significant either before or after volume adjustment, although the estimated DBT coefficient decreased in magnitude after facility mammography volume was added. These findings suggest that differences in follow‐up timeliness may reflect the facility context in which DBT is implemented and support further study of facility‐level determinants of diagnostic follow‐up.