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  1. Article: Is GDPR failing? a tale of the many challenges in interpretations, applications, and enforcement.

    Saqr, Mohammed

    International journal of health sciences

    2022  Volume 16, Issue 5, Page(s) 1–2

    Language English
    Publishing date 2022-09-09
    Publishing country Saudi Arabia
    Document type Editorial
    ZDB-ID 2603595-9
    ISSN 1658-3639
    ISSN 1658-3639
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Letter to the Editor Regarding "Outcomes of Intramuscular Gluteal Augmentation with Implants Using Tumescent Local Anesthesia".

    Saqr, Hazem / El Fahar, Mohammed H

    Aesthetic plastic surgery

    2023  

    Language English
    Publishing date 2023-08-28
    Publishing country United States
    Document type Letter
    ZDB-ID 532791-x
    ISSN 1432-5241 ; 0364-216X
    ISSN (online) 1432-5241
    ISSN 0364-216X
    DOI 10.1007/s00266-023-03585-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1296: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: A Quantitative Synthesis of Eight Decades of Global Multiple Sclerosis Research Using Bibliometrics.

    Ismail, Ismail Ibrahim / Saqr, Mohammed

    Frontiers in neurology

    2022  Volume 13, Page(s) 845539

    Abstract: Bibliometric studies on the field of multiple sclerosis (MS) research are scarce. The aim of this study is to offer an overarching view of the body of knowledge about MS research over eight decades-from 1945 to 2021-by means of a bibliometric analysis. ... ...

    Abstract Bibliometric studies on the field of multiple sclerosis (MS) research are scarce. The aim of this study is to offer an overarching view of the body of knowledge about MS research over eight decades-from 1945 to 2021-by means of a bibliometric analysis. We performed a quantitative analysis of a massive dataset based on Web of Science. The analysis included frequencies, temporal trends, collaboration networks, clusters of research themes, and an in-depth qualitative analysis. A total of 48,356 articles, with 1,766,086 citations were retrieved. Global MS research showed a steady increase with an annual growth rate of 6.4%, with more than half of the scientific production published in the last decade. Published articles came from 98 different countries by 123,569 authors in 3,267 journals, with the United States ranking first in a number of publications (12,770) and citations (610,334). A co-occurrence network analysis formed four main themes of research, covering the pathophysiological mechanisms, neuropsychological symptoms, diagnostic modalities, and treatment of MS. A noticeable increase in research on cognition, depression, and fatigue was observed, highlighting the increased attention to the quality of life of patients with MS. This bibliometric analysis provided a comprehensive overview of the status of global MS research over the past eight decades. These results could provide a better understanding of this field and help identify new directions for future research.
    Language English
    Publishing date 2022-02-24
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2022.845539
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Assessment analytics: The missing step.

    Saqr, Mohammed

    International journal of health sciences

    2017  Volume 11, Issue 1, Page(s) 1–2

    Language English
    Publishing date 2017-02-28
    Publishing country Saudi Arabia
    Document type Editorial
    ZDB-ID 2603595-9
    ISSN 1658-3639
    ISSN 1658-3639
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Toward self big data.

    Saqr, Mohammed / López-Pernas, Sonsoles

    International journal of health sciences

    2021  Volume 15, Issue 5, Page(s) 1–2

    Language English
    Publishing date 2021-09-17
    Publishing country Saudi Arabia
    Document type Editorial
    ZDB-ID 2603595-9
    ISSN 1658-3639
    ISSN 1658-3639
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A literature review of empirical research on learning analytics in medical education.

    Saqr, Mohammed

    International journal of health sciences

    2017  Volume 12, Issue 2, Page(s) 80–85

    Abstract: The number of publications in the field of medical education is still markedly low, despite recognition of the value of the discipline in the medical education literature, and exponential growth of publications in other fields. This necessitates raising ... ...

    Abstract The number of publications in the field of medical education is still markedly low, despite recognition of the value of the discipline in the medical education literature, and exponential growth of publications in other fields. This necessitates raising awareness of the research methods and potential benefits of learning analytics (LA). The aim of this paper was to offer a methodological systemic review of empirical LA research in the field of medical education and a general overview of the common methods used in the field in general. Search was done in Medline database using the term "LA." Inclusion criteria included empirical original research articles investigating LA using qualitative, quantitative, or mixed methodologies. Articles were also required to be written in English, published in a scholarly peer-reviewed journal and have a dedicated section for methods and results. A Medline search resulted in only six articles fulfilling the inclusion criteria for this review. Most of the studies collected data about learners from learning management systems or online learning resources. Analysis used mostly quantitative methods including descriptive statistics, correlation tests, and regression models in two studies. Patterns of online behavior and usage of the digital resources as well as predicting achievement was the outcome most studies investigated. Research about LA in the field of medical education is still in infancy, with more questions than answers. The early studies are encouraging and showed that patterns of online learning can be easily revealed as well as predicting students' performance.
    Language English
    Publishing date 2017-10-14
    Publishing country Saudi Arabia
    Document type Journal Article ; Review
    ZDB-ID 2603595-9
    ISSN 1658-3639
    ISSN 1658-3639
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Big data and the emerging ethical challenges.

    Saqr, Mohammed

    International journal of health sciences

    2016  Volume 11, Issue 4, Page(s) 1–2

    Language English
    Publishing date 2016-06-30
    Publishing country Saudi Arabia
    Document type Editorial
    ZDB-ID 2603595-9
    ISSN 1658-3639
    ISSN 1658-3639
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: COVID-19: Lost opportunities and lessons for the future.

    Saqr, Mohammed / Wasson, Barbara

    International journal of health sciences

    2020  Volume 14, Issue 3, Page(s) 4–6

    Keywords covid19
    Language English
    Publishing date 2020-04-30
    Publishing country Saudi Arabia
    Document type Editorial
    ZDB-ID 2603595-9
    ISSN 1658-3639
    ISSN 1658-3639
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Learning Analytics And Medical Education.

    Saqr, Mohammed

    International journal of health sciences

    2015  Volume 9, Issue 4, Page(s) V–VI

    Language English
    Publishing date 2015-12-28
    Publishing country Saudi Arabia
    Document type Journal Article
    ZDB-ID 2603595-9
    ISSN 1658-3639
    ISSN 1658-3639
    DOI 10.12816/0031225
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The effectiveness of simulation-based training on KAU hospital housekeeping staff performance.

    Battan, Raghad Mohammed / Kattan, Waleed M / Saqr, Raneem Rashad / Alawi, Maha

    Infection, disease & health

    2023  Volume 28, Issue 3, Page(s) 177–185

    Abstract: Background: Hospital Housekeeping staff play a key role in maintaining safe and clean environments to prevent infection and its spread in hospital. Innovative training approaches are necessary for this category; especially since their educational level ... ...

    Abstract Background: Hospital Housekeeping staff play a key role in maintaining safe and clean environments to prevent infection and its spread in hospital. Innovative training approaches are necessary for this category; especially since their educational level is below average. Simulation based training can be a valuable tool for them in health care sector. However, no studies have explored the impact of simulation-based training on housekeeping staff performance, which is the focus of this study.
    Objective: This research focuses on exploring the effectiveness of simulation-based training for Hospital Housekeeping Staff.
    Methods: The study used pre-post training data from 124 housekeeping staff in different work areas at KAUH to measure the effectiveness of the program on their performance. The training includes five segments: General Knowledge training, Personal Protective Equipment, Hand Hygiene, Cleaning Biological Materials, and Terminal Cleaning. The study incorporated a two-sample paired T-test, One-Way ANOVA to detect differences in mean performance pre-and post-training and between groups in terms of gender and work area.
    Results: Study results show a significant improvement in housekeeping staff performance after the training, where the performance measure of GK was improved by 33%, PPE 42%, HH 53%, Biological Spill Kit is 64%, and terminal cleaning 11% However, there is no significant difference in performance improvements in all stations in regards of gender and work area except for the Biological Spill Kit in terms of the work area.
    Conclusion: Results show the effectiveness of training as there are statistically significant differences in housekeeping staff mean performance pre-and post-training. The simulation-based training changed the behavior of the cleaners, as they became more confident and understanding in performing their work. Expanding the use of simulation as a basis for training this important group and further study is recommended.
    MeSH term(s) Humans ; Housekeeping, Hospital ; Household Work ; Hand Hygiene ; Hospitals ; Knowledge
    Language English
    Publishing date 2023-03-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2902143-1
    ISSN 2468-0869 ; 2468-0451
    ISSN (online) 2468-0869
    ISSN 2468-0451
    DOI 10.1016/j.idh.2023.02.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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