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Fulltext Effect of MyMAFI-A Newly Developed Mobile App for Field Investigation of Food Poisoning Outbreak on the Timeliness in Reporting: A Randomized Crossover Trial

Hamzah FH, Mohd Hairon S, Yaacob NM, Musa KI

Int J Environ Res Public Health, 2019 07 10;16(14).
PMID: 31295907 DOI: 10.3390/ijerph16142453

Prompt investigation of food poisoning outbreak are essential, as it usually involves a short incubation period. Utilizing the advancement in mobile technology, a mobile application named MyMAFI (My Mobile Apps for Field Investigation) was developed with the aim to be an alternative and better tool for current practices of field investigation of food poisoning outbreak. A randomized cross-over trial with two arms and two treatment periods was conducted to assess the effectiveness of the newly developed mobile application as compared to the standard paper-based format approach. Thirty-six public health inspectors from all districts in Kelantan participated in this study and they were randomized into two equal sized groups. Group A started the trial as control group using the paper-format investigation form via simulated outbreaks and group B used the mobile application. After a one-month 'washout period', the group was crossed over. The primary outcome measured was the time taken to complete the outbreak investigation. The treatment effects, the period effects and the period-by-treatment interaction were analyzed using Pkcross command in Stata software. There was a significant treatment effect with mean square 21840.5 and its corresponding F statistic 4.47 (p-value = 0.038), which indicated that the mobile application had significantly improve the reporting timeliness. The results also showed that there was a significant period effect (p-value = 0.025); however, the treatment by period interaction was not significant (p-value = 0.830). The newly developed mobile application-MyMAFI-can improve the timeliness in reporting for investigation of food poisoning outbreak.
Fulltext Net survival differences of breast cancer between stages at diagnosis and age groups in the east coast region of West Malaysia: a retrospective cohort study

Hanis TM, Yaacob NM, Mohd Hairon S, Abdullah S

BMJ Open, 2021 05 18;11(5):e043642.
PMID: 34006546 DOI: 10.1136/bmjopen-2020-043642

OBJECTIVE: Estimation of the net survival of breast cancer helps in assessing breast cancer burden at a population level. Thus, this study aims to estimate the net survival of breast cancer at different cancer staging and age at diagnosis in the east coast region of West Malaysia.
SETTING: Kelantan, Malaysia.
PARTICIPANTS: All breast cancer cases diagnosed in 2007 and 2011 identified from Kelantan Cancer Registry.
DESIGN: This retrospective cohort study used a relative survival approach to estimate the net survival of patients with breast cancer. Thus, two data were needed; breast cancer data from Kelantan Cancer Registry and general population mortality data for Kelantan population.
PRIMARY AND SECONDARY OUTCOME MEASURES: Net survival according to stage and age group at diagnosis at 1, 3 and 5 years following diagnosis.
RESULTS: The highest net survival was observed among stage I and II breast cancer cases, while the lowest net survival was observed among stage IV breast cancer cases. In term of age at diagnosis, breast cancer cases aged 65 and older had the best net survival compared with the other age groups.
CONCLUSION: The age at diagnosis had a minimal impact on the net survival compared with the stage at diagnosis. The finding of this study is applicable to other populations with similar breast cancer profile.
Survival Time and Prognostic Factors for Breast Cancer among Women in North-East Peninsular Malaysia

Nordin N, Yaacob NM, Abdullah NH, Mohd Hairon S

Asian Pac J Cancer Prev, 2018 Feb 26;19(2):497-502.
PMID: 29480991

Background: Breast cancer is the most common malignant disease and the leading cause of cancer death among
women globally. This study aimed to determine the median survival time and prognostic factors for breast cancer
patients in a North-East State of Malaysia. Methods: This retrospective cohort study was conducted from January till
April 2017 using secondary data obtained from the state’s cancer registry. All 549 cases of breast cancer diagnosed
from 1st January 2007 until 31st December 2011 were selected and retrospectively followed-up until 31st December
2016. Sociodemographic and clinical information was collected to determine prognostic factors. Results: The average
(SD) age at diagnosis was 50.4 (11.2) years, the majority of patients having Malay ethnicity (85.8%) and a histology of
ductal carcinoma (81.5%). Median survival times for those presenting at stages III and IV were 50.8 (95% CI: 25.34,
76.19) and 6.9 (95% CI: 3.21, 10.61) months, respectively. Ethnicity (Adj. HR for Malay vs non-Malay ethnicity=2.52;
95% CI: 1.54, 4.13; p<0.001), stage at presentation (Adj. HR for Stage III vs Stage I=2.31; 95% CI: 1.57, 3.39; p<0.001
and Adj. HR for Stage IV vs Stage I=6.20; 95% CI: 4.45, 8.65; p<0.001), and history of surgical treatment (Adj. HR
for patients with no surgical intervention=1.95; 95% CI: 1.52, 2.52; p<0.001) were observed to be the statistically
significant prognostic factors associated with death caused by breast cancer. Conclusion: The median survival time
among breast cancer patients in North-East State of Malaysia was short as compared to other studies. Primary and
secondary prevention aimed at early diagnosis and surgical management of breast cancer, particularly among the Malay
ethnic group, could improve treatment outcome.
Fulltext Prevalence and Risk Factors of Low Back Pain in Malaysia: A Scoping Review

Abas AH, Daud A, Mohd Hairon S, Shafei MN

Malays J Med Sci, 2023 Jun;30(3):32-41.
PMID: 37425379 DOI: 10.21315/mjms2023.30.3.3

Data on the prevalence and risk factors of low back pain (LBP) in Malaysia remain unclear as they are currently limited to specific settings and occupational groups. Therefore, this study aims to determine the prevalence and risk factors of low back pain in Malaysia. In this scoping review, we had systematically searched PubMed, Scopus, ScienceDirect and Google Scholar from January 2016 to April 2020. In addition, we had included cross-sectional studies on LBP in Malaysia. Studies without data on the prevalence and risk factors were excluded. The settings, population, design, sample size, evaluation methods, prevalence and risk factors of the studies were summarised. The literature search identified 435 potentially eligible studies; of these, 21 had met the inclusion criteria. The prevalence of LBP in Malaysia among various types of the population had ranged from 12.4% to 84.6%. Among the various types of occupation, the prevalence of LBP was the highest among nurses (67.9%), followed by drivers (65.7%). In addition, age, gender, body mass index (BMI), lifting heavy objects, working posture, lifestyle, working hours and mental health were identified as the risk factors of LBP in Malaysia. The current evidence suggests that LBP is a serious health problem among several occupational groups in Malaysia. Therefore, it is crucial to implement the correct interventions for the prevention of LBP among these groups.
Fulltext Survival and Characteristics of Bladder Cancer: Analysis of the Malaysian National Cancer Registry

Nik Ab Kadir MN, Mohd Hairon S, Yaacob NM, Ab Manan A, Ali N

Int J Environ Res Public Health, 2021 05 14;18(10).
PMID: 34069096 DOI: 10.3390/ijerph18105237

BACKGROUND: Bladder cancer ranked ninth of principal male cancer in Malaysia. This study aimed to evaluate the clinical characteristics and survival of bladder cancer patients in Malaysia.
METHODS: A retrospective cohort study was conducted by obtaining records in the Malaysian National Cancer Registry. Patients aged 15 years old and above with diagnosis date between 2007 and 2011 were included. Death was updated until 31 December 2016. Five-year observed survival and median survival time were determined by the life table method and Kaplan-Meier estimate method.
RESULTS: Among 1828 cases, the mean (SD) age of diagnosis was 64.9 (12.5) years. The patients were predominantly men (78.7%), Malay ethnicity (49.4%) and transitional cell carcinoma (78.2%). Only 14.8% of patients were at stage I. The overall five-year observed survival and median survival time was 36.9% (95% CI: 34.6, 39.1) and 27.3 months (95% CI: 23.6, 31.0). The highest five-year observed survival recorded at stage I (67.6%, 95% CI: 62.0, 73.3) and markedly worsen at stage II (34.3%, 95% CI: 27.9, 40.8), III (25.7%, 95% CI: 18.7, 32.6) and IV (12.2%, 95% CI: 8.1, 16.3).
CONCLUSIONS: Survival of bladder cancer patients in Malaysia was lower with advancing stage. The cancer control programme should be enhanced to improve survival.
Fulltext Effects of FamilyDoctor Concept and Doctor-Patient Interaction Satisfaction on Glycaemic Control among Type 2 Diabetes Mellitus Patients in the Northeast Region of Peninsular Malaysia

Nordin N, Mohd Hairon S, Yaacob NM, Abdul Hamid A, Hassan N

Int J Environ Res Public Health, 2020 03 09;17(5).
PMID: 32182755 DOI: 10.3390/ijerph17051765

The implementation of Family Doctor Concept (FDC) to restructure the primary healthcare systems in Malaysia were expected to enhance patient's satisfaction on doctor-patient interaction and subsequently improved glycaemic control among Type 2 Diabetes Mellitus (T2DM) patients. Thus, this study aims to determine the difference in doctor-patient interaction satisfaction between T2DM patients attended FDC-implemented clinic vs non-FDC clinics, and to determine the association between FDC-implemented clinic and doctor-patient interaction satisfaction towards glycaemic control. A cross-sectional study was conducted throughout 10 districts in Kelantan from February until May 2019 using interview-guided Skala Kepuasan Interaksi Perubatan-11 (SKIP-11) and proforma checklist. Data were analyzed using SPSS ver.24. Chi-square statistic used to determine the difference in doctor-patient interaction satisfaction between both clinics type. Multiple logistic regression used to examine the association between FDC-implemented clinic and doctor-patient interaction satisfaction towards glycaemic control. Twenty primary health clinics involved, and 772 T2DM patients recruited. FDC clinics attendees has higher proportion of satisfaction (40.1%) compared to non-FDC attendees (33.7%) (p = 0.070). Multiple logistic regression confirmed the association of FDC-implemented health clinics (Adj. OR 1.63, p = 0.021), and doctor-patients interaction satisfaction (Adj. OR 1.77, p = 0.005) towards glycaemic control. Hence, strengthening of FDC in primary healthcare and improve the doctor-patient interaction satisfaction were essential to escalate good glycaemic control.
Fulltext The Determinants of Non-compliance on Rabies Vaccination in North-West Peninsular Malaysia

Mohammad Basir MF, Mohd Hairon S, Tengku Ismail TA, Che' Muda CM, Abdul Halim HI

J Epidemiol Glob Health, 2023 Mar;13(1):1-10.
PMID: 36622636 DOI: 10.1007/s44197-022-00080-2

INTRODUCTION: Rabies post-exposure vaccination (Rabies PEV) remains the most fundamental prevention of human Rabies if administered in a timely and appropriate manner. The study was aimed to determine the proportion and determinants of non-compliance on Rabies PEV among dog bite patients in Perlis, Malaysia from July 2015 to June 2020.
METHODS: A retrospective cohort study was conducted using Perlis Rabid Potential Animal Bite Registry data. Independent variables and compliance status were obtained from the registry. Logistic regression analysis was utilized on 507 dog bite patients.
RESULTS: Most of dog bite patients were age group of 46-60 years old (23.1%), male (61.3%), Chinese (49.5%), seeking treatment less than 24 h after the exposure (78.3%), category two of exposure (76.3%) and bitten on lower extremities (57.8%) by an owned dog (58.4%). Only 19.5% were non-compliance to Rabies PEV. Siamese had significantly two-timed (AOR: 2.00; 95% CI 1.06, 3.76) odd higher to become non-compliance. Being bitten during 3rd (AOR: 0.27; 95% CI 0.12, 0.59), 4th (AOR: 0.24; 95% CI 0.11, 0.52) and 5th (AOR: 0.20; 95% CI 0.09, 0.44) year of the outbreak had significantly lower odds to non-comply with Rabies PEV.
CONCLUSION: 19.5% of dog bite patients still did not comply with the Rabies PEV series. Siamese would likely to non-comply whereas bitten on the 3rd, 4th and 5th years of outbreak less tendency to non-comply. Continuous health promotion to the public in the various languages despite outbreak status are ongoing to improve the perception of risk and benefit toward compliance of Rabies PEV.
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 Exploring Job Stress Among Public Health Workforce in Northeastern Malaysia

Abd Wahab AT, Mohd Hairon S, Shafei MN, Ibrahim MI, Mahmud N

Cureus, 2023 Nov;15(11):e49083.
PMID: 38125210 DOI: 10.7759/cureus.49083

Introduction Job stress is recognized as a significant concern across various occupational settings which have profound implications for both individuals and organizations. During the COVID-19 pandemic, job stress among the public health workforce (PHW) has been a significant concern, as they face a significantly increased risk of infection and mortality due to excessive COVID-19 exposure. This study presents a descriptive exploration of key job stress-related factors among PHW in Terengganu, Malaysia. Methodology This is a cross-sectional study conducted from May 2022 to April 2023, encompassing all eight District Health Offices (DHO) and government health clinics in Terengganu. Data collection involved a Malay version of the Job Content Questionnaire (M-JCQ), which assesses job characteristics based on Karasek's demand-control-support model and consists of four main domains: decision latitude, psychological job demands, physical job demands, and social support. Data was collected from 1044 participants, and statistical analysis was performed using SPSS version 27 (IBM Corp., Armonk, NY, USA). Findings Of the 1044 participants, 18.9% experienced job stress. The highest percentage of job stress was observed among nurses (24.3%), followed by medical assistants (18.3%) and physicians (16.0%). In contrast, the public health assistant (PKA) group had the lowest rate of job stress. Job types based on Karasek's model also showed variations, with doctors having the highest percentage of active jobs (46.4%), while medical assistants had the highest percentage of low job strain (17.9%), and PKAs had the highest percentage of passive job types (44.7%). Conclusion This study offers significant insights into the work-related challenges faced by the public health workforce in Terengganu, Malaysia, especially during the COVID-19 pandemic. Job stress is a substantial concern, and understanding its underlying factors is essential for improving the well-being of PHWs. Decision latitude, job demands, and social support play critical roles in shaping job stress among PHWs. Strategies and interventions are needed to mitigate job stress, improve working conditions, and enhance the effectiveness of PHWs in public health initiatives. This study highlights the importance of addressing job stress in this sector, with potential benefits for both the mental and physical health of PHW.
Fulltext Machine Learning Models for Predicting Stroke Mortality in Malaysia: An Application and Comparative Analysis

Che Nawi CMNH, Mohd Hairon S, Wan Yahya WNN, Wan Zaidi WA, Musa KI

Cureus, 2023 Dec;15(12):e50426.
PMID: 38222138 DOI: 10.7759/cureus.50426

Background Stroke is a significant public health concern characterized by increasing mortality and morbidity. Accurate long-term outcome prediction for acute stroke patients, particularly stroke mortality, is vital for clinical decision-making and prognostic management. This study aimed to develop and compare various prognostic models for stroke mortality prediction. Methods In a retrospective cohort study from January 2016 to December 2021, we collected data from patients diagnosed with acute stroke from five selected hospitals. Data contained variables on demographics, comorbidities, and interventions retrieved from medical records. The cohort comprised 950 patients with 20 features. Outcomes (censored vs. death) were determined by linking data with the Malaysian National Mortality Registry. We employed three common survival modeling approaches, the Cox proportional hazard regression (Cox), support vector machine (SVM), and random survival forest (RSF), while enhancing the Cox model with Elastic Net (Cox-EN) for feature selection. Models were compared using the concordance index (C-index), time-dependent area under the curve (AUC), and discrimination index (D-index), with calibration assessed by the Brier score. Results The support vector machine (SVM) model excelled among the four, with three-month, one-year, and three-year time-dependent AUC values of 0.842, 0.846, and 0.791; a D-index of 5.31 (95% CI: 3.86, 7.30); and a C-index of 0.803 (95% CI: 0.758, 0.847). All models exhibited robust calibration, with three-month, one-year, and three-year Brier scores ranging from 0.103 to 0.220, all below 0.25. Conclusion The support vector machine (SVM) model demonstrated superior discriminative performance, suggesting its efficacy in developing prognostic models for stroke mortality. This study enhances stroke mortality prediction and supports clinical decision-making, emphasizing the utility of the support vector machine method.
Prognostic Factors for Cervical Cancer in Asian Populations: A Scoping Review of Research From 2013 to 2023

Abrar SS, Azmel Mohd Isa S, Mohd Hairon S, Yaacob NM, Ismail MP

Cureus, 2024 Oct;16(10):e71359.
PMID: 39534844 DOI: 10.7759/cureus.71359

Cervical cancer is the fourth most common cancer among women worldwide, with particularly high incidence and mortality rates in low- and middle-income countries, with Asia reporting the highest number of cases in 2022. Despite this significant burden, the prognostic factors specific to Asian populations remain underexplored. This scoping review aimed to identify and evaluate prognostic factors associated with cervical cancer outcomes in Asia, focusing on clinical, socio-demographic, and treatment-related variables. The review followed the Arksey and O'Malley framework and included 44 studies published between 2013 and 2023. The majority of research was concentrated in East Asia, particularly in China, Japan, and South Korea. Key prognostic factors affecting overall survival and disease-free survival included tumor size, histology, age, lymphovascular invasion, and lymph node metastasis. Non-squamous cell carcinoma histology, especially adenocarcinoma, was consistently linked to poorer outcomes. Older age and medical comorbidities, such as anemia and diabetes, also negatively impacted survival. Treatment-related factors, though less frequently reported, demonstrated the significance of adjuvant therapy, chemotherapy, and treatment intensity in improving outcomes. This review underscores the complexity of cervical cancer prognosis in Asian populations and highlights the need for targeted research and region-specific interventions to address the rising incidence of cervical cancer. It also highlights the scarcity of research on cervical cancer prognostic factors in West, Central, and South Asian countries. Future research should aim to address the gaps in understanding treatment-related factors and explore the potential for region-specific interventions to improve outcomes in cervical cancer across Asia.
A Comprehensive Model for Understanding Breast Cancer Screening Hesitancy: Integrating the Health Belief Model and the Confidence, Convenience, Complacency, Constraints, and Risk and Responsibility Calculations (5C) Model

Liao Y, Mohd Hairon S, Yaacob NM, Luo L, Tengku Ismail TA

Cureus, 2024 Oct;16(10):e71583.
PMID: 39553070 DOI: 10.7759/cureus.71583

Breast cancer screening (BCS) is a critical preventive measure that can significantly reduce mortality rates. Despite its importance, screening hesitancy remains a global issue. This paper showcases the combination of the Health Belief Model (HBM) and the 5C Model and how it provides a more holistic understanding of BCS hesitancy. The first model, HBM, is a well-regarded tool that collects data based on individual beliefs such as perceived susceptibility, severity, benefits, barriers, cues to action, and self-efficacy. The second model, the 5C Model, stands for confidence, convenience, complacency, constraints, and risk and responsibility calculations. This model adds a layer of environmental considerations that HBM lacks. By combining these models, we can identify the key psychological, social, and structural barriers that contribute to BCS hesitancy. Furthermore, analysis of the literature suggests that enhancing trust in healthcare systems, increasing accessibility and affordability of screening, addressing cultural and social stigmas, and promoting a sense of collective responsibility can significantly improve screening participation rates, which are reflected in the models.
Fulltext Factors Contributing to Sharp Waste Disposal at Health Care Facility Among Diabetic Patients in North-East Peninsular Malaysia

Hasan UA, Mohd Hairon S, Yaacob NM, Daud A, Abdul Hamid A, Hassan N, et al.

Int J Environ Res Public Health, 2019 06 26;16(13).
PMID: 31247892 DOI: 10.3390/ijerph16132251

BACKGROUND: Type 2 diabetic patients are major users of medical sharps in the community. Proper sharp disposal practice among them, however, was reported to be low. The current study was aimed to determine the factors contributing to sharp waste disposal at a health care facility among Type 2 diabetic patients.
METHODS: In this cross-sectional study, Type 2 diabetic patients who were on insulin therapy attending health clinics were randomly selected and interviewed using a validated questionnaire. Binary logistic regression analysis was applied.
RESULTS: Out of 304 respondents, only 11.5% of them brought their used sharps to be disposed at health care facilities. Previous advice on sharp disposal from health care providers, knowledge score, and duration of diabetes were significant contributing factors for sharp waste disposal at health care facilities: (Adj. OR 6.31; 95% CI: 2.63, 15.12; p < 0.001), (Adj. OR 1.05; 95% CI: 1.03, 1.08; p < 0.001), and (Adj. OR 2.51; 95% CI: 1.06, 5.93; p = 0.036), respectively.
CONCLUSION: Continuous education and a locally adapted safe sharp disposal option must be available to increase awareness and facilitate diabetic patients adopting proper sharp disposal behavior.
Fulltext Effectiveness of Diabetes Community Sharp Disposal Education Module in Primary Care: An Experimental Study in North-East Peninsular Malaysia

Hasan UA, Mohd Hairon S, Yaacob NM, Daud A, Abdul Hamid A, Hassan N, et al.

Int J Environ Res Public Health, 2019 09 11;16(18).
PMID: 31514391 DOI: 10.3390/ijerph16183356

Background: Structured education is needed to cultivate safe sharp disposal behavior among diabetic patients. Thus, this study aimed to assess the effectiveness of the Diabetes Community Sharp Disposal Education Module in improving knowledge and sharp disposal practice among Malaysian Type 2 diabetic patients. Methods: This quasi-experimental study was conducted at primary health clinics in two districts in Kelantan, a state in the North-East Region of Peninsular Malaysia. A total of 132 Type 2 diabetic patients on insulin therapy were involved, with 68 participants in each control and intervention group. The health education intervention was based on the validated Diabetes Community Sharp Disposal Education Module. The knowledge and practices were measured using a validated questionnaire at baseline, one month, and three months after the intervention. Results: There was a significant increment in the mean knowledge score for intervention group; from baseline to one month follow up and from baseline to three months follow up [Greenhouse-Geisser; F(1.5, 199.7) = 62.38, p < 0.001; effect size (η2) = 0.318]. Intervention group had significantly higher mean knowledge score as compared to control group; at one month and three months follow up [F(1, 134) = 17.38, p < 0.001; effect size (η2) = 0.115]. There was a statistically significant increment in the proportion of participants in the intervention group who practiced the proper community sharp disposal method over time, X2(2) = 52.061, p < 0.001. Conclusions: The Diabetes Community Sharp Disposal Education Module was an effective health education tool to improve knowledge and encourage Malaysian diabetic patients to engage with proper sharp disposal practices.
Fulltext Machine Learning Application: A Bibliometric Analysis From a Half-Century of Research on Stroke

Che Nawi CMNH, Mohd Hairon S, Wan Yahya WNN, Wan Zaidi WA, Hassan MR, Musa KI

Cureus, 2023 Aug;15(8):e44142.
PMID: 37753006 DOI: 10.7759/cureus.44142

The quick advancement of digital technology through artificial intelligence has made it possible to deploy machine learning to predict stroke outcomes. Our aim is to examine the trend of machine learning applications in stroke-related research over the past 50 years. We used search terms stroke and machine learning to search for English versions of original and review articles and conference proceedings published over the past 50 years in Scopus and Web of Science databases. The Biblioshiny web application was utilized for the analysis. The trend of publication and prominent authors and journals were analyzed and identified. The collaborative network between countries was mapped, and a thematic map was used to monitor the authors' trending keywords. In total, 10,535 publications authored by 44,990 authors from 2,212 sources were retrieved. Two distinct clusters of collaborative network nodes were observed, with the United States serving as a connecting node. Three terms - deep learning, algorithms, and neural networks - are observed in the early stages of the emerging theme. Overall, international research collaborations, the establishment of global research initiatives, the development of computational science, and the availability of big data have facilitated the pervasive use of machine learning techniques in stroke research.
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.

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