MyMedR

Displaying publications 1 - 20 of 123 in total

Abstract:

Sort:

Fulltext National healthcare establishments and workforce statistics (primary care) 2008-2009

Md Gowdh NF, Sivasampu S, Lim TO, Abdullah NH

Citation: Md Gowdh NF, Sivasampu S, Lim TO, Abdullah NH. National healthcare establishments and workforce statistics (primary care) 2008-2009. Kuala Lumpur: Clinical Research Centre, Ministry of Health, Malaysia

Matched MeSH terms: Health Facilities*
Fulltext Compliance of Healthcare Worker's toward Tuberculosis Preventive Measures in Workplace: A Systematic Literature Review

Ismail H, Reffin N, Wan Puteh SE, Hassan MR

Int J Environ Res Public Health, 2021 10 15;18(20).
PMID: 34682604 DOI: 10.3390/ijerph182010864

Despite several guidelines published by the World Health Organization (WHO) and national authorities, there is a general increase in the number of healthcare workers (HCWs) contracting tuberculosis. This review sought to evaluate the compliance of the HCWs toward tuberculosis preventive measures (TPMs) in their workplace. Both electronic databases and manual searches were conducted to retrieve articles regarding the compliance of HCWs in the workplace published from 2010 onwards. Independent reviewers extracted, reviewed, and analyzed the data using the mixed methods appraisal tool (MMAT) 2018, comprising 15 studies, 1572 HCWs, and 249 health facilities. The results showed there was low compliance toward TPMs in the workplace among HCWs and health facilities from mostly high-burden tuberculosis countries. The failure to comply with control measures against tuberculosis was mainly reported at administrative levels, followed by engineering and personnel protective control measures. In addition, low managerial support and negative attitudes of the HCWs influenced the compliance. Further studies are needed to elucidate how to improve the compliance of HCWs toward the preventive measures against tuberculosis in order to reduce the disease burden among HCWs worldwide.

Matched MeSH terms: Health Facilities*
Fulltext Data set and model code on the optimal operating state of a negative emission polygeneration system

Aviso KB, Tan RR, Foo DCY, Lee JY, Ubando AT

Data Brief, 2020 Apr;29:105140.
PMID: 32083153 DOI: 10.1016/j.dib.2020.105140

This article contains the data set and model code for the negative emission polygeneration system described in Tan et al. (2019). The data was generated utilizing an optimization model implemented in LINGO 18.0 and includes information on the operating state of each process unit in the system. The maximum annual profit of the system was determined at different carbon footprint targets. The data set and model code can be utilized for further analysis on the interdependence between the process units of this polygeneration system, its operational and environmental performance, and the potential impact of integrating new process units into the network.

Matched MeSH terms: Health Facilities, Proprietary
Fulltext Ensemble learning for multi-class COVID-19 detection from big data

Kaleem S, Sohail A, Tariq MU, Babar M, Qureshi B

PLoS One, 2023;18(10):e0292587.
PMID: 37819992 DOI: 10.1371/journal.pone.0292587

Coronavirus disease (COVID-19), which has caused a global pandemic, continues to have severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia, its rapid spread requires innovative strategies for its early detection and management. In response to this crisis, data science and machine learning (ML) offer crucial solutions to complex problems, including those posed by COVID-19. One cost-effective approach to detect the disease is the use of chest X-rays, which is a common initial testing method. Although existing techniques are useful for detecting COVID-19 using X-rays, there is a need for further improvement in efficiency, particularly in terms of training and execution time. This article introduces an advanced architecture that leverages an ensemble learning technique for COVID-19 detection from chest X-ray images. Using a parallel and distributed framework, the proposed model integrates ensemble learning with big data analytics to facilitate parallel processing. This approach aims to enhance both execution and training times, ensuring a more effective detection process. The model's efficacy was validated through a comprehensive analysis of predicted and actual values, and its performance was meticulously evaluated for accuracy, precision, recall, and F-measure, and compared to state-of-the-art models. The work presented here not only contributes to the ongoing fight against COVID-19 but also showcases the wider applicability and potential of ensemble learning techniques in healthcare.

Matched MeSH terms: Health Facilities
Development and Validation of SafeHIT: An Instrument to Assess the Self-Reported Safe Use of Health Information Technology

Salahuddin L, Ismail Z, Abdul Rahim F, Anawar S, Hashim UR

Appl Clin Inform, 2023 Aug;14(4):693-704.
PMID: 37648223 DOI: 10.1055/s-0043-1771394

BACKGROUND: Implementing health information technology (HIT) may cause unintended consequences and safety risks when incorrectly designed and used. Yet, the tools to assess self-reported safe use of HIT are not well established.
OBJECTIVE: This study aims to develop and validate SafeHIT, an instrument to assess self-reported safe use of HIT among health care practitioners.
METHODS: Systematic literature review and a semistructured interview with 31 experts were adopted to generate SafeHIT instrument items. In total, 450 physicians from various departments at three Malaysian public hospitals participated in the questionnaire survey to validate SafeHIT. Exploratory factor analysis and confirmatory factor analysis (CFA) were undertaken to explore the items that best represent a specific construct and to confirm the reliability and validity of the SafeHIT, respectively.
RESULTS: The final SafeHIT consisted of 14 constructs and 58 items in total. The result of the CFA confirmed that all constructs demonstrated adequate convergent and discriminant validity.
CONCLUSION: A reliable and valid theoretically underpinned measure of determinants of safe HIT use behavior has been developed. Understanding external factors that influence safe HIT use is useful for developing targeted interventions that favor the quality and safety of health care.

Matched MeSH terms: Health Facilities*
Fulltext Perception of integrating complementary and alternative medicine practice in patient's treatment among the healthcare practitioners: a systematic review

Aizuddin AN, Zamzuri M'IA, Mansor J, Nurumal SR, Yunus SZSA, Razak MAA, et al.

Pan Afr Med J, 2022;43:19.
PMID: 36451723 DOI: 10.11604/pamj.2022.43.19.31133

There is a growing trend in complementary and alternative medicine (CAM) usage among the population with medical conditions. However, there is hesitancy for medical practitioners to integrate its application with the current treatment modality, despite governance by the authority. Hence, our objective is to systematically evaluate the healthcare perception towards integrating CAM in their practices. We systematically searched three large and renowned databases i.e., Scopus, Web of Science and PubMed, regarding "Perception on Integrating CAM Usage in Patient's Treatment among Healthcare Practitioners" from 2016 until 2020. At least two independent reviewers comprehensively screened and extracted the data from the accepted articles. A total of 15 studies were included in the final qualitative synthesis following a strict and rigorous assessment checked using MMAT 2018 checklist. The studies included providing the richness of information due to the qualitative nature of the study design. There were three main domains extracted i.e. knowledge, attitude, and perspective of the healthcare practitioner towards CAM integration. Limited knowledge of CAM among healthcare providers may be the possible main reason for non-supportive attitude and negative perspective on CAM. However, those who showed an inclination towards CAM were found to be more open and ready to learn about CAM if it provides benefits to the patients. There is a heterogeneity of perception towards CAM integration from healthcare providers' point of view. A proactive and systematic CAM literacy awareness program may help to improve their understanding and possibly gain more trust in its application.

Matched MeSH terms: Health Facilities*
Fulltext Enablers and Barriers of Accessing Health Care Services among Older Adults in South-East Asia: A Scoping Review

Mohd Rosnu NS, Singh DKA, Mat Ludin AF, Ishak WS, Abd Rahman MH, Shahar S

Int J Environ Res Public Health, 2022 Jun 15;19(12).
PMID: 35742597 DOI: 10.3390/ijerph19127351

South-East Asia (SEA) is the home of the largest number of the world's older population. In this scoping review, we aimed to map the existing enablers and barriers of accessing healthcare services among older adults in SEA countries. Articles that were published from January 2001 until November 2021 were searched in four data sources (PubMed, Web of Science, EBSCO Host and The Cochrane Library). Studies pertaining to the factors which assist or obstruct older Southeast Asian adults from assessing healthcare services were chosen for this scoping review. First, two reviewers screened the titles and abstracts of articles in the data sources. After identifying appropriate articles, the reviewers read them. Data extracted by one reviewer were verified by the other reviewer. The findings were then classified according to Penchansky and Thomas's five domains of access. A total of 19 studies were included in the final scoping review. Accessibility and acceptability were the two factors most often identified as enablers or barriers to older adults from accessing healthcare. Other often mentioned factors were finances, transportation and social/family support. Older adults living in rural areas were especially impacted by these factors. To promote healthy ageing, optimum healthcare and wellbeing among older adults in Southeast Asia, it is extremely important to consider accessibility and acceptability when planning healthcare services.

Matched MeSH terms: Health Facilities*
Fulltext Transnasal oesophagoscopy: the feasibility and potential impact on service provision of an office based procedure for upper gastrointestinal disorders in Malaysia

Philip R, Junainah S, Maharita AR

Med J Malaysia, 2014 Aug;69(4):162-5.
PMID: 25500843 MyJurnal

A Health Technology Assessment (HTA) was conducted in 2011 to evaluate whether transnasal oesophagoscopy (TNE) should be made available at otorhinolaryngology (ORL) clinics in the Ministry of Health facilities. The safety, efficacy or effectiveness and economic implication of using transnasal oesophagoscopy (TNE) were reviewed. This review provides a summary of the HTA and an updated literature review as well as how this technology might potentially affect services in the Ministry of Health.

Matched MeSH terms: Health Facilities
Are economic selection indices always superior to a desired gains index?

Yamada Y

Theor Appl Genet, 1995 Sep;91(4):655-8.
PMID: 24169894 DOI: 10.1007/BF00223293

CONCLUSIONS: The comparison of different selection indices is justified only if the indices are constrated to achieve the same profit function, even when each index is not optimized with respect to that profit function.When a profit function is known and is non-linear, the desired gains index may be more efficient than the economic index. The optimum desired gains index should be determined by iterative techniques over several generations to compare the genetic progress with the economic index, because gains by the economic index are not linear and the changes observed in the initial generations of selection are not the same rates in future generations, although those changes are linear in the case of the desired gains index.

Matched MeSH terms: Health Facilities, Proprietary
Fulltext Hospital efficiency: concept, measurement techniques and review of hospital efficiency studies

Hossein Moshiri, Syed Mohammed Aljunid, Rahmah Mohd Amin

Malaysian Journal of Public Health Medicine, 2010;10(2):35-43.
MyJurnal

In a time of rising demands on hospital reimbursement levels, focus on efficient operations is becoming more imperative. In health care systems, the measurement of efficiency is usually the first step in auditing individual performance of production units, e.g. hospitals, health centers, etc. It constitutes the rational framework for the distribution of human and other resources between and within health care facilities. The term efficiency is broadly used in economics and refers to the best utilization of resources in production. Typical example of efficiency is technical efficiency, referring to the effective use of resources in producing outputs. In the Farrell framework, a hospital is judged to be technically efficient if it is operating on the best practice production frontier in its hospital industry. In general, there are two main frontier methods in measuring efficiency. The first is Data Envelopment Analysis (DEA), a linear programming method which enables the measurement of efficiency consistent with the theoretically based concept of production efficiency. DEA typically examines the relationship between inputs to a production process and the outputs of that process. The second technique for assessing efficiency that is employed is Stochastic Frontier Analysis (SFA). This is an econometric technique to estimate a conventional function; with the difference being that efficiency is measured using the residuals from the estimated equation. The error term is therefore divided into a stochastic error term and a systematic inefficiency term.

Matched MeSH terms: Health Facilities
Fulltext Collaboration at the Departmental, School, National and International Levels at the International Medical University, Kuala Lumpur

Michael John Rathbone

International e-Journal of Science, Medicine & Education, 2013;7(11):57-64.
MyJurnal

The nature, extent and definition of a collaboration varies between individuals, disciplines, departments and institutions. It depends upon such factors as the people involved, the nature of the research problem, the research environment, the institutional culture and demographic factors. This paper will examine the concept of collaborative research and discuss its place and position in an evolving university.

Matched MeSH terms: Health Facilities
Fulltext Spatial Accessibility of Primary Care in the Dual Public-Private Health System in Rural Areas, Malaysia

Ab Hamid J, Juni MH, Abdul Manaf R, Syed Ismail SN, Lim PY

Int J Environ Res Public Health, 2023 Feb 10;20(4).
PMID: 36833838 DOI: 10.3390/ijerph20043147

Disparities in access to health services in rural areas represent a global health issue. Various external factors contribute to these disparities and each root requires specific remedial action to alleviate the issue. This study elucidates an approach to assessing the spatial accessibility of primary care, considering Malaysia's dual public-private system specifically in rural areas, and identifies its associated ecological factors. Spatial accessibility was calculated using the Enhance 2-Step Floating Catchment Area (E2SFCA) method, modified as per local context. Data were secondary sourced from Population and Housing Census data and administrative datasets pertaining to health facilities and road network. The spatial pattern of the E2SFCA scores were depicted using Hot spot Analysis. Hierarchical multiple linear regression and geographical weight regression were performed to identify factors that affect E2SFCA scores. Hot spot areas revolved near the urban agglomeration, largely contributed by the private sector. Distance to urban areas, road density, population density dependency ratios and ethnic composition were among the associated factors. Accurate conceptualization and comprehensive assessment of accessibility are crucial for evidence-based decision making by the policymakers and health authorities in identifying areas that need attention for a more specific and localized planning and development.

Matched MeSH terms: Health Facilities
Fulltext Using an intersectionality approach to transform health services for overlooked healthcare users and workers after covid-19

Mothupi M, Dasgupta J, Hosseini Jebeli SS, Stevenson J, Berdichevsky K, Vong S, et al.

BMJ, 2023 Jun 07;381:e072243.
PMID: 37286226 DOI: 10.1136/bmj-2022-072243

Intersectional analysis and action are needed to prepare for future pandemics and ensure more inclusive health services, say Mamothena Mothupi and colleagues

Matched MeSH terms: Health Facilities
Fulltext Analysis of the dynamics of a vector-borne infection with the effect of imperfect vaccination from a fractional perspective

Tang TQ, Jan R, Khurshaid A, Shah Z, Vrinceanu N, Racheriu M

Sci Rep, 2023 Sep 01;13(1):14398.
PMID: 37658134 DOI: 10.1038/s41598-023-41440-7

The burden of vector-borne infections is significant, particularly in low- and middle-income countries where vector populations are high and healthcare infrastructure may be inadequate. Further, studies are required to investigate the key factors of vector-borne infections to provide effective control measure. This study focuses on formulating a mathematical framework to characterize the spread of chikungunya infection in the presence of vaccines and treatments. The research is primarily dedicated to descriptive study and comprehension of dynamic behaviour of chikungunya dynamics. We use Banach's and Schaefer's fixed point theorems to investigate the existence and uniqueness of the suggested chikungunya framework resolution. Additionally, we confirm the Ulam-Hyers stability of the chikungunya system. To assess the impact of various parameters on the dynamics of chikungunya, we examine solution pathways using the Laplace-Adomian method of disintegration. Specifically, to visualise the impacts of fractional order, vaccination, bite rate and treatment computer algorithms are employed on the infection level of chikungunya. Our research identified the framework's essential input settings for managing chikungunya infection. Notably, the intensity of chikungunya infection can be reduced by lowering mosquito bite rates in the affected area. On the other hand, vaccination, memory index or fractional order, and treatment could be used as efficient controlling variables.

Matched MeSH terms: Health Facilities
Fulltext A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

Rehman A, Abbas S, Khan MA, Ghazal TM, Adnan KM, Mosavi A

Comput Biol Med, 2022 Nov;150:106019.
PMID: 36162198 DOI: 10.1016/j.compbiomed.2022.106019

In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain (BC) technologies have significantly enhanced the capabilities and facilities of healthcare 5.0, spawning a new area known as "Smart Healthcare." By identifying concerns early, a smart healthcare system can help avoid long-term damage. This will enhance the quality of life for patients while reducing their stress and healthcare costs. The IoMT enables a range of functionalities in the field of information technology, one of which is smart and interactive health care. However, combining medical data into a single storage location to train a powerful machine learning model raises concerns about privacy, ownership, and compliance with greater concentration. Federated learning (FL) overcomes the preceding difficulties by utilizing a centralized aggregate server to disseminate a global learning model. Simultaneously, the local participant keeps control of patient information, assuring data confidentiality and security. This article conducts a comprehensive analysis of the findings on blockchain technology entangled with federated learning in healthcare. 5.0. The purpose of this study is to construct a secure health monitoring system in healthcare 5.0 by utilizing a blockchain technology and Intrusion Detection System (IDS) to detect any malicious activity in a healthcare network and enables physicians to monitor patients through medical sensors and take necessary measures periodically by predicting diseases. The proposed system demonstrates that the approach is optimized effectively for healthcare monitoring. In contrast, the proposed healthcare 5.0 system entangled with FL Approach achieves 93.22% accuracy for disease prediction, and the proposed RTS-DELM-based secure healthcare 5.0 system achieves 96.18% accuracy for the estimation of intrusion detection.

Matched MeSH terms: Health Facilities
Fulltext Improving the data access control using blockchain for healthcare domain

Tahir Yinka O, Haw SC, Yap TTV, Subramaniam S

F1000Res, 2021;10:901.
PMID: 34858590 DOI: 10.12688/f1000research.72890.3

Introduction: Unauthorized access to data is one of the most significant privacy issues that hinder most industries from adopting big data technologies. Even though specific processes and structures have been put in place to deal with access authorization and identity management for large databases nonetheless, the scalability criteria are far beyond the capabilities of traditional databases. Hence, most researchers are looking into other solutions, such as big data management. Methods: In this paper, we firstly study the strengths and weaknesses of implementing cryptography and blockchain for identity management and authorization control in big data, focusing on the healthcare domain. Subsequently, we propose a decentralized data access and sharing system that preserves privacy to ensure adequate data access management under the blockchain. In addition, we designed a blockchain framework to resolve the decentralized data access and sharing system privacy issues, by implementing a public key infrastructure model, which utilizes a signature cryptography algorithm (elliptic curve and signcryption). Lastly, we compared the proposed blockchain model to previous techniques to see how well it performed. Results: We evaluated the blockchain on four performance metrics which include throughput, latency, scalability, and security. The proposed blockchain model was tested using a sample of 5000 patients and 500,000 observations. The performance evaluation results further showed that the proposed model achieves higher throughput and lower latency compared to existing approaches when the workload varies up to 10,000 transactions. Discussion: This research reviews the importance of blockchains as they provide infinite possibilities to individuals, companies, and governments.

Matched MeSH terms: Health Facilities
Fulltext Drug utilization review of potassium chloride injection formulations available in a private hospital in kuching, sarawak, malaysia

Melissa MH, Azmi S

Malays J Med Sci, 2013 Jul;20(4):47-55.
PMID: 24043996 MyJurnal

The concentrated potassium chloride injection is a high-alert medication and replacing it with a pre-mixed formulation can reduce the risks associated with its use. The aim of this study was to determine the clinical characteristics of patients receiving different potassium chloride formulations available at a private institution. The study also assessed the effectiveness and safety of pre-mixed formulations in the correction of hypokalaemia.

Matched MeSH terms: Health Facilities
Fulltext Neurosciences at Universiti Sains Malaysia Represent Malaysia to Support Global Precision Brain Health

Abdullah JM

Malays J Med Sci, 2019 May;26(3):1-23.
PMID: 31303847 DOI: 10.21315/mjms2019.26.3.1

The combined effort of the neuroscience and psychology cluster at the Universiti Sains Malaysia (USM)-fundamental, applied and clinical-has moved the institution to the number two position in the country, behind Universiti Malaya. The strategy to join the Global Brain Consortium (GBC) and put Malaysia on the map to address the GBC mission, vision, focus areas and outcomes began recently, in May 2019.

Matched MeSH terms: Health Facilities
Do health-care institutions perform better under leaders with medical or non-medical backgrounds? A scoping review

Mohmad S, Lee KY, Bakit P

Leadersh Health Serv (Bradf Engl), 2024 May 29;37(5):142-156.
PMID: 38809264 DOI: 10.1108/LHS-11-2023-0084

PURPOSE: This study aims to summarize studies that compared the performance of health-care institutions led by leaders with medical background versus those with no medical background.
DESIGN/METHODOLOGY/APPROACH: A systematic search was conducted on three databases: PubMed, Ovid Medline and Google Scholar to identify relevant peer-reviewed studies using the keywords "performance," "impact," "physician," "medical," "doctor," "leader," "healthcare institutions" and "hospital." Only quantitative studies that compared the performance of health-care institutions led by leaders with medical background versus non-medical background were included. Articles were screened and assessed for eligibility before the relevant data were extracted to summarize, appraise and make a narrative account of the findings.
FINDINGS: A total of eight studies were included, four were based in the USA, two in the UK and one from Germany and one from the Arab World. Half of the studies (n = 4) reported overall better health-care institutional performance in terms of hospital quality ranking such as clinical effectiveness and patient safety under leaders with medical background, whereas one study showed poorer performance. The remaining studies reported mixed results among the different performance indicators, especially financial performance.
PRACTICAL IMPLICATIONS: While medical background leaders may have an edge in clinical competence to manage health-care institutions, it will be beneficial to equip them with essential management skills to optimize leadership competence and enhance organizational performance.
ORIGINALITY/VALUE: The exclusive inclusion of quantitative empirical studies that compared health-care institutional performance medical and non-medical leaders provides a clearer link between the relationship between health-care institutional performance and the leaders' background.

Matched MeSH terms: Health Facilities
Fulltext Dialysis provision in Malaysia

Lim TO, Lee DG, Zaki M

Med J Malaysia, 2000 Jun;55(2):188-95.
PMID: 19839147

We determined the provision for dialysis treatment in Malaysia. There were 181 dialysis centres as at 1st June 1999 (161 Haemodialysis (HD) and 20 Continuous Ambulatory Peritoneal Dialysis (CAPD) centres), providing treatment for 5614 patients. This is equivalent to an estimated prevalence rate of 253 patients per million population (pmp) and new dialysis acceptance rate of 49 patients pmp. Dialysis facilities were widely distributed throughout the country though rather unevenly among states. Penang, Selangor/KL, Malacca led with number of dialysis patients pmp ranging from 417 to 480. Kelantan and Sabah had the lowest provision with 51 and 64 patients pmp respectively. There were more centres and HD capacity in the private sector while the Non-Government Organisation and public sectors had about the same capacity. However the public sector had more patients on account of availability of CAPD and home HD services, as well as low HD capacity to patient ratio. The number ofcentres, HD capacity and patients have increased rapidly especially since 1991; the estimated growth rates were 16.5 centres/year, 658 capacity/year, and 392 patients/year respectively. There was also a trend toward increasing over-capacity in the private and NGO sectors. In conclusion, the level of dialysis provision is increasing, indicating increasing accessibility of dialysis treatment in Malaysia. Over-capacity is a concern in the private and NGO sectors. Thus funding agencies should be encouraged to source provision from those sectors. The public sector still has the crucial role of providing for under-served areas in the country.

Matched MeSH terms: Health Facilities/supply & distribution*

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links