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Understanding the breast cancer experience: a qualitative study of Malaysian women

Yusuf A, Ab Hadi IS, Mahamood Z, Ahmad Z, Keng SL

Asian Pac J Cancer Prev, 2013;14(6):3689-98.
PMID: 23886167

Breast cancer is the most common and leading cause of cancer mortality among Malaysian women. Despite good survival rates, the diagnosis of cancer still invokes the feeling of stress, fear and uncertainty. Because very little is known about the experiences of Malaysian women with breast cancer, a qualitative study using semi- structured interviews to explore the lived experience of newly diagnosed breast cancer. Using a purposive sampling method, 20 Malaysian women newly diagnosed with breast cancer, including Malays (n=10) and Chinese (n=10) were recruited in two main public hospitals in Kelantan. Similarities and divergence in women's experience were identified through thematic analysis of interview transcripts. Three themes emerged from the data: uncertainty experience of the illness, transition process and fatalistic view of breast cancer. In many ways, these findings were parallel with previous studies, suggesting that the experience of breast cancer is to a certain extent similar among women newly diagnosed with breast cancer. This study adds to the sparse literature concerning the experience of illness following breast cancer diagnosis among the Malays and Chinese. More importantly, this study addressed areas that were previously lacking, specifically in depth information on breast cancer experience from a developing country with a multi-ethnic population. The results of this investigation provide preliminary information to healthcare professionals on the impact of illness and cultural influence on survivorship to plan for appropriate education and supportive programme in order to meet the needs of breast cancer women more effectively.
Fulltext Development of Mobile App for Breast Examination Awareness Using Health Belief Model: A Qualitative Study

Nasution A, Yusuf A, Lean Keng S, Rasudin NS, P Iskandar YH, Ab Hadi IS

Asian Pac J Cancer Prev, 2021 Oct 01;22(10):3151-3163.
PMID: 34710991 DOI: 10.31557/APJCP.2021.22.10.3151

BACKGROUND: Mobile health technologies are widely being used for delivering health behaviour interventions. However, there is insufficient evidence that they are integrating theory and only a few researchers utilized a qualitative approach in their study.
OBJECTIVES: This paper aims to identify requirements in developing a breast examination awareness mobile app based on the component of the Health Belief Model (HBM) for integration in health promotion strategy.
METHODS: A qualitative approach using semi-structured in-depth interview was utilized in this study. A purposive sampling method was conducted among public women attending hospital services, software and content experts in a tertiary teaching hospital in the East coast of Peninsular Malaysia. These interviews were recorded, transcribed and organized using NVIVO 11. The main themes were identified through thematic analysis of the interview transcripts. Results: A total of 37 participants recruited in this study. The themes that emerged from the analysis are vulnerability, forecasting, reactive, influence, outcome and obstacles. The sub-themes findings supported the HBM's component in terms of the requirement for are an infographic risk factor, video (symptoms, self-examination), info (metastasis, survival, screening, triple assessment, treatment, myth and facts, benefit of early treatment, support groups), features (screening reminder, sharing button, prompt) and mobile app's design.
CONCLUSION: The research findings could provide a guide for future app development from public women, content and software experts. The information will be used to develop a breast examination awareness mobile app integrated with health theories.
Fulltext Breast awareness mobile apps for health education and promotion for breast cancer

Yusuf A, P Iskandar YH, Ab Hadi IS, Nasution A, Lean Keng S

Front Public Health, 2022;10:951641.
PMID: 36324460 DOI: 10.3389/fpubh.2022.951641

BACKGROUND: Lack of knowledge, poor awareness, and attitude are barriers to breast cancer (BC) screening participation. The ubiquitous usage of mobile phones makes it a perfect platform for delivering interventions to increase knowledge and awareness in screening, a strategy for early identification of BC. However, although numerous applications for BC prevention are available on major mobile phone platforms, relatively few have been tested in scientific studies to determine their efficacy.
OBJECTIVE: This study aimed to assess the efficacy of BrAware Apps in increasing the knowledge of BC risk factors, awareness of warning signs and confidence in breast self-examination (BSE) among women in northeast peninsular Malaysia.
METHODS: A quasi-experimental pre and post-test research design were conducted with 41 women participants in Kelantan, Malaysia, before and after using the BrAware apps. Participants were given an online, adapted Breast Cancer Awareness Measure questionnaire. Post-test was 2 months after using the BrAware apps. Comparison using paired T-tests were conducted to evaluate the change in knowledge of risk factors, warning signs awareness and confidence level for BSE.
RESULTS: The mean age of women was 39.71(SD = 8.80). The participants' mean knowledge score of BC warning signs differs before using BrAware (mean 70.62, SD 11.74) and after using the BrAware app (mean 79.83, SD 10.15) at the <0.001 level of significance.
CONCLUSIONS: The BrAware mobile app had a positive effect in increasing the women's knowledge of risk factors of BC, warning signs awareness and confidence level for BSE. It can be concluded that the mobile app may be an adjunct in educating women on BC.
A Comparison between the Online Prognostic Tool PREDICT and myBeST for Women with Breast Cancer in Malaysia

Nik Ab Kadir MN, Mohd Hairon S, Ab Hadi IS, Yusof SN, Muhamat SM, Yaacob NM

Cancers (Basel), 2023 Mar 30;15(7).
PMID: 37046725 DOI: 10.3390/cancers15072064

The PREDICT breast cancer is a well-known online calculator to estimate survival probability. We developed a new prognostic model, myBeST, due to the PREDICT tool's limitations when applied to our patients. This study aims to compare the performance of the two models for women with breast cancer in Malaysia. A total of 532 stage I to III patient records who underwent surgical treatment were analysed. They were diagnosed between 2012 and 2016 in seven centres. We obtained baseline predictors and survival outcomes by reviewing patients' medical records. We compare PREDICT and myBeST tools' discriminant performance using receiver-operating characteristic (ROC) analysis. The five-year observed survival was 80.3% (95% CI: 77.0, 83.7). For this cohort, the median five-year survival probabilities estimated by PREDICT and myBeST were 85.8% and 82.6%, respectively. The area under the ROC curve for five-year survival by myBeST was 0.78 (95% CI: 0.73, 0.82) and for PREDICT was 0.75 (95% CI: 0.70, 0.80). Both tools show good performance, with myBeST marginally outperforms PREDICT discriminant performance. Thus, the new prognostic model is perhaps more suitable for women with breast cancer in Malaysia.
Fulltext Predictors of early postoperative hypocalcemia after total parathyroidectomy in renal hyperparathyroidism

Tan PG, Ab Hadi IS, Zahari Z, Yahya MM, Wan Zain WZ, Wong MP, et al.

Ann Surg Treat Res, 2020 Jan;98(1):1-6.
PMID: 31909044 DOI: 10.4174/astr.2020.98.1.1

Purpose: Patients with secondary hyperparathyroidism are at high risk for developing postoperative hypocalcemia. However, there are limited data regarding predictors of postoperative hypocalcemia in renal failure patient with secondary hyperparathyroidism. This study aimed to determine the clinical presentations of renal hyperparathyroidism and the predictors of early postoperative hypocalcemia after total parathyroidectomy.
Methods: Data of patients with renal hyperparathyroidism who underwent total parathyroidectomy between January 2007 to December 2014 were reviewed retrospectively. Patients were divided into 2 cohort groups according to their serum calcium levels within 24 hours of parathyroidectomy: the hypocalcemia group (calcium levels of 2 mmol/L or less), and the normocalcemia group (calcium levels more than 2 mmol/L). With the use of multivariable logistic regression analyses, the predictors of early postoperative hypocalcemia after total parathyroidectomy in patients with renal hyperparathyroidism were investigated.
Results: Among 68 patients, 56 patients (82.4%) were symptomatic preoperatively. Fifty patients (73.5%) presented with bone pain and 14 patients (20.6%) had muscle weakness. Early postoperative hypocalcemia occurred in 25 patients (36.8%). Preoperative alkaline phosphatase level was the predictor of early postoperative hypocalcemia (adjusted odds ratio, 1.004; 95% confidence interval, 1.001-1.006; P = 0.002).
Conclusion: Results from our study show that most of the patients with renal hyperparathyroidism were symptomatic preoperatively and the most common clinical presentations were bone pain and muscle weakness. The significant predictor of early postoperative hypocalcemia after total parathyroidectomy was the preoperative alkaline phosphatase levels.
Fulltext myBeST-A Web-Based Survival Prognostic Tool for Women with Breast Cancer in Malaysia: Development Process and Preliminary Validation Study

Nik Ab Kadir MN, Mohd Hairon S, Yaacob NM, Yusof SN, Musa KI, Yahya MM, et al.

Int J Environ Res Public Health, 2023 Feb 08;20(4).
PMID: 36833678 DOI: 10.3390/ijerph20042985

Women with breast cancer are keen to know their predicted survival. We developed a new prognostic model for women with breast cancer in Malaysia. Using the model, this study aimed to design the user interface and develop the contents of a web-based prognostic tool for the care provider to convey survival estimates. We employed an iterative website development process which includes: (1) an initial development stage informed by reviewing existing tools and deliberation among breast surgeons and epidemiologists, (2) content validation and feedback by medical specialists, and (3) face validation and end-user feedback among medical officers. Several iterative prototypes were produced and improved based on the feedback. The experts (n = 8) highly agreed on the website content and predictors for survival with content validity indices ≥ 0.88. Users (n = 20) scored face validity indices of more than 0.90. They expressed favourable responses. The tool, named Malaysian Breast cancer Survival prognostic Tool (myBeST), is accessible online. The tool estimates an individualised five-year survival prediction probability. Accompanying contents were included to explain the tool's aim, target user, and development process. The tool could act as an additional tool to provide evidence-based and personalised breast cancer outcomes.
Fulltext Development of Predictive Models for Survival among Women with Breast Cancer in Malaysia

Nik Ab Kadir MN, Yaacob NM, Yusof SN, Ab Hadi IS, Musa KI, Mohd Isa SA, et al.

Int J Environ Res Public Health, 2022 Nov 20;19(22).
PMID: 36430052 DOI: 10.3390/ijerph192215335

Prediction of survival probabilities based on models developed by other countries has shown inconsistent findings among Malaysian patients. This study aimed to develop predictive models for survival among women with breast cancer in Malaysia. A retrospective cohort study was conducted involving patients who were diagnosed between 2012 and 2016 in seven breast cancer centres, where their survival status was followed until 31 December 2021. A total of 13 predictors were selected to model five-year survival probabilities by applying Cox proportional hazards (PH), artificial neural networks (ANN), and decision tree (DT) classification analysis. The random-split dataset strategy was used to develop and measure the models' performance. Among 1006 patients, the majority were Malay, with ductal carcinoma, hormone-sensitive, HER2-negative, at T2-, N1-stage, without metastasis, received surgery and chemotherapy. The estimated five-year survival rate was 60.5% (95% CI: 57.6, 63.6). For Cox PH, the c-index was 0.82 for model derivation and 0.81 for validation. The model was well-calibrated. The Cox PH model outperformed the DT and ANN models in most performance indices, with the Cox PH model having the highest accuracy of 0.841. The accuracies of the DT and ANN models were 0.811 and 0.821, respectively. The Cox PH model is more useful for survival prediction in this study's setting.
Fulltext Presentation of Breast Cancer and Impact of Patient Navigation on Timeliness of Diagnosis and Treatment and on Adherence to Treatment Recommendations in a Multicenter Network in Malaysia

Jaganathan M, Ang BH, Ali A, Sharif SZ, Mohamad M, Mohd Khairy A, et al.

JCO Glob Oncol, 2024 Mar;10:e2300297.
PMID: 38484197 DOI: 10.1200/GO.23.00297

PURPOSE: Breast cancer deaths disproportionately affect women living in low- and middle-income countries (LMICs). Patient navigation has emerged as a cost-effective and impactful approach to enable women with symptoms or suspicious mammogram findings to access timely diagnosis and patients with breast cancer to access timely and appropriate multimodality treatment. However, few studies have systematically evaluated the impact of patient navigation on timeliness of diagnosis and treatment in LMICs.
METHODS: We established a nurse- and community-navigator-led navigation program in breast clinics of four public hospitals located in Peninsular and East Malaysia and evaluated the impact of navigation on timeliness of diagnosis and treatment.
RESULTS: Patients with breast cancer treated at public hospitals reported facing barriers to accessing care, including having a poor recognition of breast cancer symptoms and low awareness of screening methods, and facing financial and logistics challenges. Compared with patients diagnosed in the previous year, patients receiving navigation experienced timely ultrasound (84.0% v 65.0%; P < .001), biopsy (84.0% v 78.0%; P = .012), communication of news (63.0% v 40.0%; P < .001), surgery (46% v 36%; P = .008), and neoadjuvant therapy (59% v 42%, P = .030). Treatment adherence improved significantly (98.0% v 87.0%, P < .001), and this was consistent across the network of four breast clinics.
CONCLUSION: Patient navigation improves access to timely diagnosis and treatment for women presenting at secondary and tertiary hospitals in Malaysia.