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Functional Outcomes and Health-Related Quality of Life After Severe Traumatic Brain Injury: A Review

Mohamed Ludin S, Abdul Rashid N

Clin Nurs Res, 2020 09;29(7):433-439.
PMID: 30079766 DOI: 10.1177/1054773818792459

Throughout recovery, patients with severe traumatic brain injury (TBI) show physical and functional improvement, but continue to have cognitive and psychosocial problems. The aim of this article was to review the literature regarding the functional and health-related quality of life (HRQOL) outcomes in severe TBI. There were 15 articles reviewed, 13 of them were quantitative studies and two were narrative review. Most of the articles showed an improvement occurs rapidly at 6 months post-injury. There were several factors that influence the outcome after TBI, most of it was the Glasgow Coma Scale (GCS) on admission, age, educational level, duration of posttraumatic amnesia (PTA), and length of stay (LOS) in the Intensive Care Unit (ICU). Thus, health care workers should help the survivors of severe TBI in the recovery process to ensure the latter can attain maximum function and quality of life.
Multiobjective optimization to reconstruct biological networks

Naef A, Abdullah R, Abdul Rashid N

Biosystems, 2018 Sep 17;174:22-36.
PMID: 30236951 DOI: 10.1016/j.biosystems.2018.09.003

Automated methods for reconstructing biological networks are becoming increasingly important in computational systems biology. Public databases containing information on biological processes for hundreds of organisms are assisting in the inference of such networks. This paper proposes a multiobjective genetic algorithm method to reconstruct networks related to metabolism and protein interaction. Such a method utilizes structural properties of scale-free networks and known biological information about individual genes and proteins to reconstruct metabolic networks represented as enzyme graph and protein interaction networks. We test our method on four commonly-used protein networks in yeast. Two are networks related to the metabolism of the yeast: KEGG and BioCyc. The other two datasets are networks from protein-protein interaction: Krogan and BioGrid. Experimental results show that the proposed method is capable of reconstructing biological networks by combining different omics data and structural characteristics of scale-free networks. However, the proposed method to reconstruct the network is time-consuming because several evaluations must be performed. We parallelized this method on GPU to overcome this limitation by parallelizing the objective functions of the presented method. The parallel method shows a significant reduction in the execution time over the GPU card which yields a 492-fold speedup.
Conducting qualitative research in the new norms: Are we ready?

Abdul Rashid N, Lee K, Jamil NA

Nurs Health Sci, 2021 Dec;23(4):967-973.
PMID: 34370379 DOI: 10.1111/nhs.12872

The COVID-19 pandemic has considerably hampered research practices, putting many research activities on hold. Researchers may experience difficulties arising from the unprecedented challenge, specifically during the data collection process. The main difficulties include delayed projects due to the movement control order imposed by the government. However, the advancement of information technology and the broad use of smartphones have favorable implications on qualitative research during the pandemic. This article is based on two qualitative researchers' experience doing fieldwork, specifically the difficulties encountered by the research teams and the strategies adopted to ensure the success of the projects. Both research projects used in-depth interviews as the main method for data collection. Reflective journals and field notes were used to enhance the quality of information obtained in both studies. It is hoped that this article may benefit other qualitative researchers by facilitating a successful data collection process during the COVID-19 pandemic.
Fulltext Self-efficacy of foot care behaviour of elderly patients with diabetes

Ahmad Sharoni SK, Mohd Razi MN, Abdul Rashid NF, Mahmood YE

Malays Fam Physician, 2017;12(2):2-8.
PMID: 29423123 MyJurnal

Introduction: Elderly patients with diabetes are at a high risk of contracting diabetic foot problems. Self-efficacy is essential to help improve foot care behaviour.
Aim: To identify levels of self-efficacy and foot care behaviour and their relationship with demographic characteristics in elderly patients with diabetes.
Methods: A cross-sectional study was conducted in two general hospitals in Malaysia from May to June 2015. Diabetes patients aged 60 years with specific inclusion criteria were invited to participate in this study. The respondents were interviewed using a set of validated questionnaires. Data were analysed with descriptive and inferential statistics (multiple linear regression) using Statistical Package for the Social Sciences version 20.0.
Results: Levels of foot self-efficacy (mean+31.39; standard deviation=7.76) and foot care behaviour (mean=25.37; SD=5.88) were high. There was a positive significant relationship between foot self-efficacy (β = 0.41, p < 0.001) and gender (β = 0.30, p < 0.001) with foot care behaviour.
Conclusion: Self-efficacy can be incorporated in diabetes education to improve foot care behaviour. High-risk patients should be taught proper foot inspection and protection as well as the merits of skin care to prevent the occurrence of diabetic foot problems.