Displaying publications 21 - 40 of 594 in total

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  1. Abuduxike G, Aljunid SM
    Biotechnol Adv, 2012 Nov-Dec;30(6):1589-601.
    PMID: 22617902 DOI: 10.1016/j.biotechadv.2012.05.002
    Health biotechnology has rapidly become vital in helping healthcare systems meet the needs of the poor in developing countries. This key industry also generates revenue and creates employment opportunities in these countries. To successfully develop biotechnology industries in developing nations, it is critical to understand and improve the system of health innovation, as well as the role of each innovative sector and the linkages between the sectors. Countries' science and technology capacities can be strengthened only if there are non-linear linkages and strong interrelations among players throughout the innovation process; these relationships generate and transfer knowledge related to commercialization of the innovative health products. The private sector is one of the main actors in healthcare innovation, contributing significantly to the development of health biotechnology via knowledge, expertise, resources and relationships to translate basic research and development into new commercial products and innovative processes. The role of the private sector has been increasingly recognized and emphasized by governments, agencies and international organizations. Many partnerships between the public and private sector have been established to leverage the potential of the private sector to produce more affordable healthcare products. Several developing countries that have been actively involved in health biotechnology are becoming the main players in this industry. The aim of this paper is to discuss the role of the private sector in health biotechnology development and to study its impact on health and economic growth through case studies in South Korea, India and Brazil. The paper also discussed the approaches by which the private sector can improve the health and economic status of the poor.
    Matched MeSH terms: Delivery of Health Care/economics*
  2. Ahad A, Tahir M, Aman Sheikh M, Ahmed KI, Mughees A, Numani A
    Sensors (Basel), 2020 Jul 21;20(14).
    PMID: 32708139 DOI: 10.3390/s20144047
    Smart health-care is undergoing rapid transformation from the conventional specialist and hospital-focused style to a distributed patient-focused manner. Several technological developments have encouraged this rapid revolution of health-care vertical. Currently, 4G and other communication standards are used in health-care for smart health-care services and applications. These technologies are crucial for the evolution of future smart health-care services. With the growth in the health-care industry, several applications are expected to produce a massive amount of data in different format and size. Such immense and diverse data needs special treatment concerning the end-to-end delay, bandwidth, latency and other attributes. It is difficult for current communication technologies to fulfil the requirements of highly dynamic and time-sensitive health care applications of the future. Therefore, the 5G networks are being designed and developed to tackle the diverse communication needs of health-care applications in Internet of Things (IoT). 5G assisted smart health-care networks are an amalgamation of IoT devices that require improved network performance and enhanced cellular coverage. Current connectivity solutions for IoT face challenges, such as the support for a massive number of devices, standardisation, energy-efficiency, device density, and security. In this paper, we present a comprehensive review of 5G assisted smart health-care solutions in IoT. We present a structure for smart health-care in 5G by categorizing and classifying existing literature. We also present key requirements for successful deployment of smart health-care systems for certain scenarios in 5G. Finally, we discuss several open issues and research challenges in 5G smart health-care solutions in IoT.
    Matched MeSH terms: Delivery of Health Care*
  3. Ahmad Ainuddin H, Romli MH, Hamid TA, Sf Salim M, Mackenzie L
    Front Public Health, 2021;9:611814.
    PMID: 33987161 DOI: 10.3389/fpubh.2021.611814
    Background: Studies on rehabilitation for falls after a stroke remain limited despite its impact being profound. This scenario justifies a deeper understanding of why falls in stroke rehabilitation received less attention. Current investigations on the perception of falls and stroke also proved inadequate. Therefore, this study aims to explore the perceptions and experiences of older Malaysian stroke survivors, spousal caregivers, and healthcare practitioners on falls in stroke rehabilitation. Method: A qualitative study of three focus groups with 18 individuals from one community-based stroke rehabilitation center was conducted. The discussions were audio-recorded, video-recorded, transcribed, summarized, and analyzed using thematic analysis. Results: Three themes emerged from the analysis: (i) perceived factors and consequences of falls after stroke, (ii) physical-based interventions predominate in rehabilitation for falls after stroke, and (iii) the role of home hazards in fall prevention is taken for granted. Although, awareness of falls is high, they are regarded as a peripheral issue in stroke. Rehabilitation interventions such as improved functionality are believed to be adequate and can indirectly prevent falls. Other interventions for fall prevention such as home hazards management are relatively less known. Conclusion: There is a need for more attention regarding home environment risk assessment and intervention among healthcare professionals, and more education for clients and caregivers is required. Although, other stroke interventions may also benefit stroke survivors, falls prevention should be a central component in stroke rehabilitation. As this study focused on a specific population, the findings should be validated with larger populations, and in diverse settings.
    Matched MeSH terms: Delivery of Health Care
  4. Ahmad Badruridzwanullah Zun, Mohd Ismail Ibrahim, Anees Abdul Hamid
    MyJurnal
    Introduction: Primary health care plays an important role in healthcare systems. In Malaysia, One (1) Malaysia Clinic (now known as Community Clinic since 2018) was established in 2010 aims to increase healthcare services accessibility within the poor urban population. The aim was to look at the effectiveness of One (1) Malaysia Clinic as a new form of public primary health clinic by looking at expectations and perceptions of the quality of the provided services by the patients. Method: It applied a cross sectional study involving nine clinics in of the busiest district in Kelantan namely, Kota Bharu district. 386 respondents which were Malaysian citizen, 18 years old and above were involved in this study. The survey used Malay validated SERVQUAL questionnaire. The Service Quality (SQ) gap was calculated. Result: The empathy dimension obtained the highest expectation and perception score, while the tangi- ble dimension has the lowest expectation and perception score. In all SERVQUAL dimension, the expectations and perceptions of the service provided was significantly different with P < 0.001. The most critical dimension identified was tangible dimension as it has the largest negative SQ gap score. Conclusion: Negative gaps for all SERVQUAL dimensions and individual items indicated that provided services at One (1) Malaysia Clinic still could not fulfilled the patient’s expectation. A continuous improvement program is needed especially on tangible dimension in deliv- ering a quality healthcare services.
    Matched MeSH terms: Delivery of Health Care
  5. Ahmad NS, Hatah E, Jalil MR, Makmor-Bakry M
    Front Public Health, 2021;9:589734.
    PMID: 34504820 DOI: 10.3389/fpubh.2021.589734
    Background: Medicine price transparency refers to the practice of making prices available to consumers for them to identify, compare, and select the medicine that provides the desired value. This study aimed to evaluate consumer knowledge, attitudes, and practices regarding Malaysia's medicine price transparency initiative, as well as factors that may influence related good consumer practices in private healthcare settings. Methods: A cross-sectional, self-administered survey was conducted between May and July 2019 among consumers attending private healthcare institutions in Malaysia. The self-developed and validated survey consisted of four sections on the following: respondents' demographics, and 28 close-ended and graded Likert scale answer options on knowledge, attitudes, and practices toward medicine price transparency. Factors influencing good consumer practices toward the transparency initiative were modeled using binary logistic regression. Results: A total of 679 respondents were part of the study. The mean age of respondents was 38 ± 13.3, with the majority (n = 420, 61.9%) being female. The respondents' mean score of knowledge and attitudes toward the price transparency initiative was 5.6 ± 1.5 of the total score of 8 and 31.9 ± 4.0 of the total score of 40, respectively. The respondents had the lowest score in the practice of price transparency, with a mean score of 31.5 ± 5.6 of the total score of 60. Male gender, Chinese ethnicity, high score on knowledge and attitudes, and high expenses on medicines influenced respondents' good practices of medicine price transparency. Conclusion: Respondents had good knowledge and attitudes, but their usage and implementation of the medicine price transparency initiative was still inadequate. A number of factors influence this inadequacy, including gender, race, consumers' out-of-pocket spending on medication, and knowledge of and attitudes toward price transparency practices. Consumer-driven market price control would be impossible to achieve without the good consumer practices of medicine price transparency.
    Matched MeSH terms: Delivery of Health Care
  6. Ahmad Rashidi Mohamed Tahir, Nurasmaa Agussaiful, Shairyzah Ahmad Hisham, Aneesa Abdul Rashid, Ahmad Yusuf Yahaya, Navin Kumar Devaraj
    MyJurnal
    Introduction: Since 1978, Rohingya refugees have fled from their native nation, Myanmar to escape ethnic prose- cution. They comprise of the Muslim minority ethnic group originating from the Rakhine state in Myanmar. In many host countries, they may have difficulty to access health care services. The Islamic Association of Malaysia (IMAM) Response and Relief Team (IMARET) have taken many initiatives to provide healthcare services to the refugees through their volunteer-led mobile clinics. Therefore, this study aims to evaluate the utilisation of drugs among type 2 diabetes mellitus (T2DM) patients visiting this clinic. Methods: This was a cross-sectional study among Rohingya refugees with T2DM that visited the IMARET mobile clinics from August until November 2017. Convenient sampling method was used. Data were collected through patient’s interview, review of the patient’s prescriptions and their HbA1c readings. Results: A total of 29 T2DM patients were included in this study. The majority were female (75.9%) and aged below 65 years old (75.9%). The most commonly prescribed anti-diabetic agent was metformin (72.2%), followed by glibenclamide (22.2%) and gliclazide (5.6%). Metformin as a monotherapy (31%) was the most frequent treatment prescribed. More patients had controlled T2DM (62.1%) compared to those with uncontrolled DM. We found 90.9% of patients who were treated according to the recommended DM guidelines achieved a good blood glucose control (p=0.02). Conclusion: In Rohingya refugees having T2DM who were treated in the IMARET mobile clinic, the percentage having good control DM status is higher in those whose treatment regimen adheres to the clinical practice guidelines.
    Matched MeSH terms: Delivery of Health Care
  7. Ahmadi H, Nilashi M, Ibrahim O, Raisian K
    Curr Health Sci J, 2016 03 29;42(1):82-93.
    PMID: 30568817 DOI: 10.12865/CHSJ.42.01.12
    As Electronic Medical Records (EMRs) have a great possibility for rising physician's performance in their daily work which improves quality, safety and efficiency in healthcare, they are implemented throughout the world (Boonstra and Broekhuis, 2010). In physician practices the rate of EMRs adoption has been slow and restricted (around 25%) according to Endsley, Baker, Kershner, and Curtin (2005) in spite of the cost savings through lower administrative costs and medical errors related with EMRs systems. The core objective of this research is to identify, categorize, and analyse meso-level factors introduced by Lau et al, 2012, perceived by physicians to the adoption of EMRs in order to give more knowledge in primary care setting. Finding was extracted through questionnaire which distributed to 350 physicians in primary cares in Malaysia to assess their perception towards EMRs adoption. The findings showed that Physicians had positive perception towards some features related to technology adoption success and emphasized EMRs had helpful impact in their office. The fuzzy TOPSIS physician EMRs adoption model in meso-level developed and its factors and sub-factors discussed in this study which provide making sense of EMRs adoption. The related factors based on meso-level perspective prioritized and ranked by using the fuzzy TOPSIS. The purpose of ranking using these approaches is to inspect which factors are more imperative in EMRs adoption among primary care physicians. The result of performing fuzzy TOPSIS is as a novelty method to identify the critical factors which assist healthcare organizations to inspire their users in accepting of new technology.
    Matched MeSH terms: Delivery of Health Care
  8. Ahmadian M, Samah AA, Saidu MB
    Asian Pac J Cancer Prev, 2014;15(12):5097-105.
    PMID: 24998591
    Knowledge of health and community psychology in health professionals influences psychosocial and community determinants of health and promoting participation in disease prevention at the community level. This paper appraises the potential of knowledge on psychology in health care professionals and its contribution to community empowerment through individual behavior change and health practice. The authors proposed a schematic model for the use of psychological knowledge in health professionals to promote participation in health interventions/disease prevention programs in developing countries. By implication, the paper provides a vision on policies towards supporting breast cancer secondary prevention efforts for community health development in Asian countries.
    Matched MeSH terms: Delivery of Health Care
  9. 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: Delivery of Health Care
  10. Aizuddin, A.N., Hoda, R., Rizal, A.M., Yon, R., Al Junid, S.M.
    MyJurnal
    Introduction: In view of high healthcare expenditure, Malaysia also faces problems in healthcare financing. The policy option is to establish a national health financing scheme. However, it is a problem to develop mechanisms to cover social insurance package to more than one third of the population working in informal sector such as farmers. Therefore, there is an urgent need to assess the ability and willingness of the farming community. The main objective was to study the ability and willingness in the farming community to contribute to national healthcare financing scheme.

    Methodology: This a cross sectional study involved 400 farmers in Selangor. A total of 92.3% farmers were able to pay for the healthcare.

    Results: Willingness to contribute to The national healthcare financing scheme were RM2.00 per month.

    Conclusion: The education level influenced the ability to pay while the educational level and per capita income influenced willingness to pay.
    Matched MeSH terms: Delivery of Health Care
  11. Akhtar N, Khan N, Qayyum S, Qureshi MI, Hishan SS
    Front Public Health, 2022;10:869793.
    PMID: 36187628 DOI: 10.3389/fpubh.2022.869793
    The use of technology in the healthcare sector and its medical practices, from patient record maintenance to diagnostics, has significantly improved the health care emergency management system. At that backdrop, it is crucial to explore the role and challenges of these technologies in the healthcare sector. Therefore, this study provides a systematic review of the literature on technological developments in the healthcare sector and deduces its pros and cons. We curate the published studies from the Web of Science and Scopus databases by using PRISMA 2015 guidelines. After mining the data, we selected only 55 studies for the systematic literature review and bibliometric analysis. The study explores four significant classifications of technological development in healthcare: (a) digital technologies, (b) artificial intelligence, (c) blockchain, and (d) the Internet of Things. The novel contribution of current study indicate that digital technologies have significantly influenced the healthcare services such as the beginning of electronic health record, a new era of digital healthcare, while robotic surgeries and machine learning algorithms may replace practitioners as future technologies. However, a considerable number of studies have criticized these technologies in the health sector based on trust, security, privacy, and accuracy. The study suggests that future studies, on technological development in healthcare services, may take into account these issues for sustainable development of the healthcare sector.
    Matched MeSH terms: Delivery of Health Care
  12. Al Bashir L, Ismail A, Aljunid SM
    Front Immunol, 2023;14:1052450.
    PMID: 37180162 DOI: 10.3389/fimmu.2023.1052450
    A newly developed fully liquid hexavalent vaccine that comprises six antigens for Diphtheria, Tetanus, acellular Pertussis, Inactivated Poliomyelitis, Haemophilus Influenza type b., and Hepatitis B, is proposed to be introduced in the Malaysian national immunization program, instead of the non-fully liquid pentavalent vaccine and monovalent Hepatitis B vaccine that is currently employed in the immunization schedule. Although the introduction of new vaccines is a necessary intervention, it still needs to be accepted by parents and healthcare professionals. Hence, this study aimed to develop three structured questionnaires and to investigate the participants' perception and acceptability toward the incorporation of the new fully liquid hexavalent vaccine. A cross-sectional study was conducted among a sample of 346 parents, 100 nurses, and 50 physicians attending twenty-two primary health care centers in the states of Selangor and the Federal Territory of Kuala Lumpur and Putrajaya during 2019-2020. The study found that Cronbach's alpha coefficients for the study instruments ranged from 0.825 to 0.918. Principal components analysis produced a good fit with KMO>0.6. For the parents' perception questionnaire, the only extracted factor explained 73.9 % of the total variance; for the nurses' perception toward a non-fully and fully liquid combined vaccine, there was a sole extracted factor that explained 65.2 % and 79.2% of the total variance, respectively. Whereas for the physicians' perception, there was one factor extracted that explains 71.8 % of the total variance. The median score for all the questionnaire items ranged from 4 to 5 (Q1 and Q3 vary between 3-5). Parents' ethnicity was significantly associated (P-value ≤ 0.05) with the perception that the new hexavalent vaccine would reduce their transportation expenses. Moreover, a significant association (P-value ≤ 0.05) was found between physicians' age and the perception of the hexavalent vaccine's ability to decrease patient overcrowding in primary healthcare centers. The instruments used in this study were valid and reliable. Parents of Malay ethnicity were the most concerned about transportation expenses since they have the lowest income and are more concentrated in rural areas compared to other races. Younger physicians were concerned about reducing patient crowding and hence reducing their workload and burnout.
    Matched MeSH terms: Delivery of Health Care
  13. Al Maini M, Al Weshahi Y, Foster HE, Chehade MJ, Gabriel SE, Saleh JA, et al.
    Clin Rheumatol, 2020 Mar;39(3):627-642.
    PMID: 31127461 DOI: 10.1007/s10067-019-04544-y
    Rheumatic and musculoskeletal diseases (RMDs) encompass a spectrum of degenerative, inflammatory conditions predominantly affecting the joints. They are a leading cause of disability worldwide and an enormous socioeconomic burden. However, worldwide deficiencies in adult and paediatric RMD knowledge among medical school graduates and primary care physicians (PCPs) persist. In October 2017, the World Forum on Rheumatic and Musculoskeletal Diseases (WFRMD), an international think tank of RMD and related experts, met to discuss key challenges and opportunities in undergraduate RMD education. Topics included needs analysis, curriculum content, interprofessional education, teaching and learning methods, implementation, assessment and course evaluation and professional formation/career development, which formed a framework for this white paper. We highlight a need for all medical graduates to attain a basic level of RMD knowledge and competency to enable them to confidently diagnose, treat/manage or refer patients. The importance of attracting more medical students to a career in rheumatology, and the indisputable value of integrated, multidisciplinary and multiprofessional care are also discussed. We conclude that RMD teaching for the future will need to address what is being taught, but also where, why and to whom, to ensure that healthcare providers deliver the best patient care possible in their local setting.
    Matched MeSH terms: Delivery of Health Care/organization & administration*
  14. Al-Darraji HA, Wong KC, Yeow DG, Fu JJ, Loeliger K, Paiji C, et al.
    J Subst Abuse Treat, 2014 Feb;46(2):144-9.
    PMID: 24074846 DOI: 10.1016/j.jsat.2013.08.023
    People who use drugs (PWUD) represent a key high risk group for tuberculosis (TB). The prevalence of both latent TB infection (LTBI) and active disease in drug treatment centers in Malaysia is unknown. A cross-sectional convenience survey was conducted to assess the prevalence and correlates of LTBI among attendees at a recently created voluntary drug treatment center using a standardized questionnaire and tuberculin skin testing (TST). Participants (N=196) were mostly men (95%), under 40 (median age=36 years) and reported heroin use immediately before treatment entry (75%). Positive TST prevalence was 86.7%. Nine (4.6%) participants were HIV-infected. Previous arrest/incarcerations (AOR=1.1 for every entry, p<0.05) and not being HIV-infected (AOR=6.04, p=0.03) were significantly associated with TST positivity. There is an urgent need to establish TB screening and treatment programs in substance abuse treatment centers and to tailor service delivery to the complex treatment needs of patients with multiple medical and psychiatric co-morbidities.
    Matched MeSH terms: Delivery of Health Care, Integrated/methods; Delivery of Health Care, Integrated/organization & administration
  15. Al-Qazaz HKh, Hassali MA, Shafie AA, Sulaiman SA, Sundram S, Morisky DE
    Diabetes Res Clin Pract, 2010 Nov;90(2):216-21.
    PMID: 20832888 DOI: 10.1016/j.diabres.2010.08.012
    AIMS:
    To translate and examine the psychometric properties of the Malaysian version of the Morisky Medication Adherence Scale (MMAS) among patients with type 2 diabetes.

    METHODS:
    A standard "forward-backward" procedure was used to translate MMAS into Malay language. It was later validated on a convenience sample of 223 type 2 diabetes outpatients between May and September 2009. Reliability was tested for internal consistency. Validity was confirmed using convergent and known group validity.

    RESULTS:
    Employing the recommended scoring method, the mean±SD of MMAS scores was 6.13±1.72. Moderate internal consistency was found (Cronbach's α=0.675), the test-retest reliability value was 0.816 (p<0.001). A positive correlation between the eight- and four-item MMAS was found (r=0.792; p<0.01). A significant relationship between MMAS categories and HbA1c categories (χ(2)=20.261; p≥0.001) was found. The MMAS sensitivity and specificity, with positive and negative predictive values were 77.61%, 45.37%, 46.84% and 76.56%, respectively.

    CONCLUSIONS:
    The findings of this validation study indicate that the Malaysian version of the MMAS is a reliable and valid measure of medication adherence which can now be used.
    Matched MeSH terms: Delivery of Health Care
  16. Al-Shareeda MA, Manickam S
    Int J Environ Res Public Health, 2022 Nov 24;19(23).
    PMID: 36497709 DOI: 10.3390/ijerph192315618
    The COVID-19 pandemic is currently having disastrous effects on every part of human life everywhere in the world. There have been terrible losses for the entire human race in all nations and areas. It is crucial to take good precautions and prevent COVID-19 because of its high infectiousness and fatality rate. One of the key spreading routes has been identified to be transportation systems. Therefore, improving infection tracking and healthcare monitoring for high-mobility transportation systems is impractical for pandemic control. In order to enhance driving enjoyment and road safety, 5G-enabled vehicular fog computing may gather and interpret pertinent vehicle data, which open the door to non-contact autonomous healthcare monitoring. Due to the urgent need to contain the automotive pandemic, this paper proposes a COVID-19 vehicle based on an efficient mutual authentication scheme for 5G-enabled vehicular fog computing. The proposed scheme consists of two different aspects of the special flag, SF = 0 and SF = 1, denoting normal and COVID-19 vehicles, respectively. The proposed scheme satisfies privacy and security requirements as well as achieves COVID-19 and healthcare solutions. Finally, the performance evaluation section shows that the proposed scheme is more efficient in terms of communication and computation costs as compared to most recent related works.
    Matched MeSH terms: Delivery of Health Care
  17. Al-Yateem N, Hijazi H, Saifan AR, Ahmad A, Masa'Deh R, Alrimawi I, et al.
    BMJ Open, 2023 Dec 22;13(12):e076326.
    PMID: 38135338 DOI: 10.1136/bmjopen-2023-076326
    OBJECTIVES: To identify language-related communication barriers that expatriate (non-Arabic) healthcare practitioners in the UAE encounter in their daily practice.

    DESIGN: Qualitative study utilising semi-structured in-depth interviews. The interviews were conducted in English language.

    SETTING: Different healthcare facilities across the UAE. These facilities were accessed for data collection over a period of 3 months from January 2023 to March 2023.

    PARTICIPANTS: 14 purposively selected healthcare practitioners.

    INTERVENTION: No specific intervention was implemented; this study primarily aimed at gaining insights through interviews.

    PRIMARY AND SECONDARY OUTCOMES: To understand the implications of language barriers on service quality, patient safety, and healthcare providers' well-being.

    RESULTS: Three main themes emerged from our analysis of participants' narratives: Feeling left alone, Trying to come closer to their patients and Feeling guilty, scared and dissatisfied.

    CONCLUSIONS: Based on the perspectives and experiences of participating healthcare professionals, language barriers have notably influenced the delivery of healthcare services, patient safety and the well-being of both patients and practitioners in the UAE. There is a pressing need, as highlighted by these professionals, for the inclusion of professional interpreters and the provision of training to healthcare providers to enhance effective collaboration with these interpreters.

    Matched MeSH terms: Delivery of Health Care*
  18. Al-lela OQ, Bahari MB, Elkalmi RM, Jawad Awadh AI
    Am J Pharm Educ, 2012 Dec 12;76(10):206.
    PMID: 23275671 DOI: 10.5688/ajpe7610206
    Matched MeSH terms: Delivery of Health Care
  19. Alam MM, Wei H, Wahid ANM
    Aust Econ Pap, 2020 Nov 27.
    PMID: 33349733 DOI: 10.1111/1467-8454.12215
    The outbreak of COVID-19 has weakened the economy of Australia and its capital market since early 2020. The overall stock market has declined. However, some sectors become highly vulnerable while others continue to perform well even in the crisis period. Given this new reality, we seek to investigate the initial volatility and the sectoral return. In this study, we analyse data for eight sectors such as, transportation, pharmaceuticals, healthcare, energy, food, real estate, telecommunications and technology of the Australian stock market. In doing so, we obtain data from Australian Securities Exchange (ASX) and analysed them based on 'Event Study' method. Here, we use the 10-days window for the event of official announcement of the COVID-19 outbreak in Australia on 27 February 2020. The findings of the study show that on the day of announcement, the indices for food, pharmaceuticals and healthcare exhibit impressive positive returns. Following the announcement, the telecommunications, pharmaceuticals and healthcare sectors exhibit good performance, while poor performance is demonstrated by the transportation industry. The findings are vital for investors, market participants, companies, private and public policymakers and governments to develop recovery action plans for vulnerable sectors and enable investors to regain their confidence to make better investment decisions.
    Matched MeSH terms: Delivery of Health Care
  20. Alanazi HO, Abdullah AH, Qureshi KN, Ismail AS
    Ir J Med Sci, 2018 May;187(2):501-513.
    PMID: 28756541 DOI: 10.1007/s11845-017-1655-3
    INTRODUCTION: Information and communication technologies (ICTs) have changed the trend into new integrated operations and methods in all fields of life. The health sector has also adopted new technologies to improve the systems and provide better services to customers. Predictive models in health care are also influenced from new technologies to predict the different disease outcomes. However, still, existing predictive models have suffered from some limitations in terms of predictive outcomes performance.

    AIMS AND OBJECTIVES: In order to improve predictive model performance, this paper proposed a predictive model by classifying the disease predictions into different categories. To achieve this model performance, this paper uses traumatic brain injury (TBI) datasets. TBI is one of the serious diseases worldwide and needs more attention due to its seriousness and serious impacts on human life.

    CONCLUSION: The proposed predictive model improves the predictive performance of TBI. The TBI data set is developed and approved by neurologists to set its features. The experiment results show that the proposed model has achieved significant results including accuracy, sensitivity, and specificity.

    Matched MeSH terms: Delivery of Health Care/methods*
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