Azimatun Noor Aizuddin

Dr. Azimatun Noor Aizuddin

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 August 2024 in PLOS ONE
Verified
Journal Article
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MZM. Zulfakhar Zubir
M. Zulfakhar Zubir
AAAzimatun Noor Aizuddin
Azimatun Noor Aizuddin
ARA. M. Mohd Rizal
A. M. Mohd Rizal
AHAbdul Aziz Harith
Abdul Aziz Harith
MAM. Ihsanuddin Abas
M. Ihsanuddin Abas
ABAnwar Fazal A. Bakar
Anwar Fazal A. Bakar
The efficiency and productivity evaluation process commonly employs Data Envelopment Analysis (DEA) as a performance tool in numerous fields, such as the healthcare industry (hospitals). Therefore, this review examined various hospital-based DEA articles involving input and output variable selection approaches and the recent DEA developments. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was utilised to extract 89 English articles containing empirical data between 2014 and 2022 from various databases (Web of Science, Scopus, PubMed, ScienceDirect, Springer Link, and Google Scholar). Furthermore, the DEA model parameters were determined using information from previous studies, while the approaches were identified narratively. This review grouped the approaches into four sections: literature review, data availability, systematic method, and expert judgement. An independent single strategy or a combination with other methods was then applied to these approaches. Consequently, the focus of this review on various methodologies employed in hospitals could limit its findings. Alternative approaches or techniques could be utilised to determine the input and output variables for a DEA analysis in a distinct area or based on different perspectives. The DEA application trend was also significantly similar to that of previous studies. Meanwhile, insufficient data was observed to support the usability of any DEA model in terms of fitting all model parameters. Therefore, several recommendations and methodological principles for DEA were proposed after analysing the existing literature.

25 August 2023 in Global Heart
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Journal Article
Open access
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Amsyar DaudAmsyar Daud
Amsyar Daud
ANAzmawati Mohammed Nawi
Azmawati Mohammed Nawi
AAAzimatun Noor Aizuddin
Azimatun Noor Aizuddin
MYMohammad Fadhly Yahya
Mohammad Fadhly Yahya
Background: Bystander cardiopulmonary resuscitation (CPR) and using an automated external defibrillator (AED) can improve out-of-hospital cardiac arrest survival. However, bystander CPR and AED rates remained consistently low. The goal of this systematic review was to assess factors influencing community willingness to perform CPR and use an AED for out-of-hospital cardiac arrest survival (OHCA) victims, as well as its barriers. Methods: The review processes (PROSPERO: CRD42021257851) were conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review protocol; formulation of review questions; systematic search strategy based on identification, screening, and eligibility using established databases including Scopus, Web of Science, and Medline Complete via EBSCOhost; quality appraisal; and data extraction and analysis. There is identification of full-text journal articles that were published between 2016 and 2021 and written in English. Results: Of the final 13 articles, there are six identified factors associated with willingness to perform CPR and use an AED, including socio-demographics, training, attitudes, perceived norms, self-efficacy, and legal obligation. Younger age, men, higher level of education, employed, married, having trained in CPR and AED in the previous 5 years, having received CPR education on four or more occasions, having a positive attitude and perception toward CPR and AED, having confidence to perform CPR and to apply an AED, and legal liability protection under emergency medical service law were reasons why one would be more likely to indicate a willingness to perform CPR and use an AED. The most reported barriers were fear of litigation and injuring a victim. Conclusions: There is a need to empower all the contributing factors and reduce the barrier by emphasizing the importance of CPR and AEDs. The role played by all stakeholders should be strengthened to ensure the success of intervention programs, and indirectly, that can reduce morbidity and mortality among the community from OHCA.

26 October 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
MJMohammad Husni Jamal
Mohammad Husni Jamal
AAAznida Firzah Abdul Aziz
Aznida Firzah Abdul Aziz
AAAzimatun Noor Aizuddin
Azimatun Noor Aizuddin
SASyed Mohamed Aljunid
Syed Mohamed Aljunid
Social health insurance (SHI) is a form of health finance mechanism that had been implemented in many countries to achieve universal health care (UHC). To emulate the successes of SHI in many developed countries, many developing and middle-income countries (MICs) have attempted to follow suit. However, the SHI implementation has problems and obstacles. Many more obstacles were observed despite some successes. This scoping review aimed to study the various developments of SHI globally in its uses, implementation, successes, and obstacles within the last 5 years from 2017 to 2021. Using three databases (i.e., PubMed, EBSCO, and Google Scholar), we reviewed all forms of articles on SHI, including gray literature. The PRISMA-ScR protocol was adapted as the guideline. We used the following search terms: social health insurance, national health insurance, and community health insurance. A total of 57,686 articles were screened, and subsequently, 46 articles were included in the final review. Results showed that the majority of SHI studies were in China and African countries, both of which were actively pursuing SHI programs to achieve UHC. China was still regarded as a developing country. There were also recent experiences from other Asian countries, but only a few from South America. Implementing SHI to achieve UHC was desirable but will need to consider several factors and issues. This was especially the case in developing and MICs. Eventually, full UHC would only be possible with a combination of general taxation and SHI.

22 January 2025 in Diagnostics
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Puteri Norliza Megat RamliPuteri Norliza Megat Ramli
Puteri Norliza Megat Ramli
AAAzimatun Noor Aizuddin
Azimatun Noor Aizuddin
NANorfazilah Ahmad
Norfazilah Ahmad
ZHZuhanis binti Abdul Hamid
Zuhanis binti Abdul Hamid
KIKhairil Idham Ismail
Khairil Idham Ismail
Background: Lung cancer remains one of the leading causes of cancer-related deaths worldwide. Artificial intelligence (AI) holds significant potential roles in enhancing the detection of lung nodules through chest X-ray (CXR), enabling earlier diagnosis and improved outcomes. Methods: Papers were identified through a comprehensive search of the Web of Science (WOS), Scopus, and Ovid Medline databases for publications dated between 2020 and 2024. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 34 studies that met the inclusion criteria were selected for quality assessment and data extraction. Results: AI demonstrated sensitivity rates of 56.4–95.7% and specificities of 71.9–97.5%, with the area under the receiver operating characteristic (AUROC) values between 0.89 and 0.99, compared to radiologists’ mean area under the curve (AUC) of 0.81. AI performed better with larger nodules (>2 cm) and solid nodules, showing higher AUC values for calcified (0.71) compared to non-calcified nodules (0.55). Performance was lower in hilar areas (30%) and lower lung fields (43.8%). A combined AI-radiologist approach improved overall detection rates, particularly benefiting less experienced readers; however, AI showed limitations in detecting ground-glass opacities (GGOs). Conclusions: AI shows promise as a supplementary tool for radiologists in lung nodule detection. However, the variability in AI results across studies highlights the need for standardized assessment methods and diverse datasets for model training. Future studies should focus on developing more precise and applicable algorithms while evaluating the effectiveness and cost-efficiency of AI in lung cancer screening interventions.

1 June 2023 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MLMiaw Yn Jane Ling
Miaw Yn Jane Ling
NANorfazilah Ahmad
Norfazilah Ahmad
AAAzimatun Noor Aizuddin
Azimatun Noor Aizuddin
Background: The burden of non-communicable diseases (NCDs) is increasing. Risk perception of NCDs is an important factor towards the uptake of preventive health interventions. There are various questionnaires assessing risk perception of NCDs, but no internationally standardized questionnaire has been available. Identification of factors associated with risk perception of NCDs may facilitate the development of targeted interventions. This systematic review aims to identify available questionnaire assessing risk perception of NCDs and the factors associated with risk perception of NCDs. Methods: The reporting of this systematic review is in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We carried out a literature search through three databases (Scopus, PubMed, Web of Science) and targeted original article published in English between 2012 and 2021. Quality appraisal of the eligible articles was conducted using the Mixed Methods Appraisal Tool. Findings were synthesized using content analysis. Results: A total of 86 studies were included. We found a variety of questionnaires assessing risk perception of NCDs, with many differences in their development, domains, items and validity. We also identified several personal, sociopsychological and structural factors associated with risk perception of NCDs. Limitations: Most of the included studies were of cross-sectional design, and therefore the quality of evidence was considered low and exhibit a high risk of bias. The role of publication bias within this systematic review should be acknowledged as we did not include grey literature. Additionally, language bias must be considered as we only included English-language publications. Conclusion: Further development and testing of available questionnaire is warranted to ensure their robustness and validity in measuring risk perception of NCDs. All the identified factors deserve further exploration in longitudinal and experimental studies.

KTKe Ran Tee
Ke Ran Tee
AIAbdul Samat Ismail
Abdul Samat Ismail
YAYong Heng Ang
Yong Heng Ang
HHHidayah Husna Hishamuddin
Hidayah Husna Hishamuddin
VJVinneeshah Jacob
Vinneeshah Jacob
IZIda Zarina Zaini
Ida Zarina Zaini
This study aimed to determine the prevalence of anxiety and burnout, and the coping mechanisms among clinical year undergraduate medical students in Universiti Kebangsaan Malaysia (UKM) during the coronavirus disease 2019 (COVID-19) pandemic. In total, 378 clinical year undergraduate medical students in UKM participated in this cross-sectional study from May to July 2021. A self-administered questionnaire consisting of questions on the participant’s sociodemographic data and items from the DASS-21, CBI, and Brief-COPE was distributed. Chi-square and Spearman’s correlation tests were used to calculate the correlation coefficient between both anxiety and burnout, and coping mechanisms. The prevalence of anxiety and burnout were 44.2% and 22.2%, respectively. There was a significant difference in the percentage of students with extremely severe anxiety in the presence and absence of burnout, 23.8% vs. 4.8% (p < 0.001). Among the three coping mechanisms, avoidant coping had a significant positive moderate correlation with both the presence of anxiety (r = 0.3966, p < 0.001) and the presence of burnout (r = 0.341, p < 0.001). Meanwhile, coping that was neither approach nor avoidant had a positive weak correlation with the presence of burnout (r = 0.176, p = 0.001). The prevalence of anxiety and burnout was concerning. Increased anxiety and burnout among students may negatively impact aspects of their personal, professional, and academic lives. Early recognition and preventive measures should be emphasised to prevent negative ramifications.