Fariba Azadikhah; Kamran Mehrabani; Hadi Raeisi Shahraki
Abstract
Background: Breast cancer is the second cause of death in Asian countries, and 39% of all new breast cancer cases are diagnosed in Asia. The current study was designed to identify different patterns of breast cancer incidence rates among Asian countries.Methods: In this secondary analysis study, information ...
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Background: Breast cancer is the second cause of death in Asian countries, and 39% of all new breast cancer cases are diagnosed in Asia. The current study was designed to identify different patterns of breast cancer incidence rates among Asian countries.Methods: In this secondary analysis study, information about the incidence rates of female breast cancer for 46 Asian countries was extracted from the Gapminder website from 1990 to 2016, and a growth mixture model was developed to describe the growth patterns and identify the main longitudinal trends in Mplus 7.4. Finally, the estimated trend in each cluster was characterized by intercept (the rate at 1990) and slope (the observed annual trend changes).Results: Our findings suggested an overall increasing trend throughout the continent, but individual trajectories showed different behavior patterns amongst countries. Bayesian information creation showed that the 3-cluster model was the best choice. The annual growth of -0.13 (per 100,000 persons) suggests a slight negative trend for the incidence rate of breast cancer in cluster one countries, including Bangladesh, Israel, Kyrgyz Republic, Maldives, Nepal, North Korea, Tajikistan, and Timor- Leste. Seventeen countries, including Armenia, Bahrain, Brunei, Cyprus, Iraq, Japan, Jordan, Kazakhstan, Kuwait, Lebanon, Malaysia, Pakistan, Philippines, Qatar, Singapore, South Korea, and United Arab Emirates, which belonged to cluster 2 had not only a higher number of incidence rate in 1990, but also an annual growth of 0.96 (per 100,000 persons), indicating a sharp increase trajectory. Also, annual growth of 0.38 (per 100,000 persons) showed a slow increase in the incidence rate of breast cancer over time for the 21 remaining countries.Conclusion: The observed sharp increase of breast cancer incidence in Armenia, Bahrain, Brunei, Cyprus, Iraq, Japan, Jordan, Kazakhstan, Kuwait, Lebanon, Malaysia, Pakistan, Philippines, Qatar, Singapore, South Korea, and United Arab Emirates is remarkable; therefore, effective strategies to prevent it are urgently required.
Maryam Changizi; Niloofar Ahmadloo; Mohammad Hossein Kaveh; Leila Ghahramani
Abstract
Background: Breast cancer is one of the most prevalent cancers among women worldwide. The phe scale is the first credible measurement tool to delve into critically ill patients’ experiences and emotional state and detect their level of engagement in the treatment and care process. However the Persian ...
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Background: Breast cancer is one of the most prevalent cancers among women worldwide. The phe scale is the first credible measurement tool to delve into critically ill patients’ experiences and emotional state and detect their level of engagement in the treatment and care process. However the Persian version of the scale needs to be further investigated. Accordingly, the present study aimed to evaluate the psychometric features of the patient health engagement scale (phe s) in Iranian patients suffering from breast cancer.Methods: This is a cross-sectional study. The sample size was estimated by multiplying the total number of items by ten. The sample size was estimated for this 5-item scale 128 breast cancer patients who referred to a specialized clinic in 2020. Content validity and reliability analysis were performed, and the data were analyzed using IBM SPSS26 software and R content validity package.Results: The ordinal alpha of thesample was 0.626, indicating an acceptable internal consistency. The analysis of the rash model revealed an acceptable infit and outfit MNSQ (685-932). The polychoric correlation coefficient within the items was 46, representing a moderate correlation. All the factor loadings had a high value (0>60), thereby confirming the single dimensionality of the scale.Conclusion: The phe scale has favorable reliability and validity to assess the patients’ emotional adjustment and their engagement in their health and self-management before designing and implementing any intervention.
Sanjiv Srivastava; Alpana Srivastava; Sandeep Tiwari
Abstract
Objective
To study the changes in quality of life (QoL) domains in breast cancer patients during the treatment and follow-up.
Methods
A cross-sectional study was conducted at King George’s Medical University, Lucknow, UP. Data were collected using a two-part questionnaire. In the ...
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Objective
To study the changes in quality of life (QoL) domains in breast cancer patients during the treatment and follow-up.
Methods
A cross-sectional study was conducted at King George’s Medical University, Lucknow, UP. Data were collected using a two-part questionnaire. In the first part, demography, disease and treatment details and related information were collected. In the second part, a validated scale developed by Ferrel for evaluating QoL of breast cancer patients was used. Over 150 patients diagnosed with breast cancer at King George Medical University, Lucknow, India (KGMU) were sampled. Baseline along with two follow-ups were done for the same patient to see the changes in QoL’s domains during treatment. Analysis of variance technique (ANOVA) was used to see the association between QoL domains and effect of treatment.
Results
A total of 150 patients were interviewed and their average QoL index was built by using index number approach. Average QoL was found to be 0.3433 during baseline which mildly improved in the first follow-up to 0.3744 and more in the second follow-up to 0.419. The major reason is that 74% belonged to low economic status and occurrence of cancer further deteriorated the situation for them. During the adjuvant treatment, though it deteriorated their physical condition, hope of getting better improved psychological conditions and after nine months of treatment their both conditions improved. Major factors which affected quality of life of patients during the treatment were fatigue, pain, and fear of recurrence and spread of cancer.
Conclusion
Geographical area, socioeconomic status, education, and type of treatment, especially non-adjuvant and adjuvant therapy, significantly affect QoL among breast cancer patients. To develop a customized intervention, psychological counselling centres are the need of the hour.
