プロフィール詳細

プロジェクトを作成

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Rayan T.に依頼

United Kingdom

Scientific Researcher | Academic Writer | Digital Health | Mental Health | Digital Mental Health

プロフィール概要

👩‍💼 I am a published scientific researcher. I currently work in academia at King's College London. My areas of expertise are mental health, health, digital health, and digital mental health. I’ve worked in healthcare, international organizations, charities, and start-ups. Here are some of services that I provide: ⭕ I conduct scientific research (design, analysis, and write up). ⭕ I perform quantitative and qualitative analysis. ⭕ I write and review academic papers. ⭕ I review non-academic mental health related content. ⭕ I consult in my areas of expertise which is mental health and digital health. ⭕ Softwares: Qualtrics, Microsoft Excel, Microsoft PowerPoint, Microsoft Power BI, SPSS and NVivo. 🔗 For more details around my experience, feel free to check my LinkedIn page. ⭐I am dedicated to efficient and high-quality task delivery. I Look forward to working with you and ensuring your satisfaction with my services.

専門分野

• ★ Human Behavior & Psychology
• ★ E-Health & Telemedicine
• ★ Manuscript & Journal Article Writing
• ☆ Cognitive Science
• ☆ Clinical Psychology
• ☆ Health Psychology
• ☆ Medical Devices
• ☆ Medical Device Safety Testing
• ☆ Clinical Trials
• ☆ IRB Applications
• ☆ Clinical Trial Design
• ☆ Patient Recruitment
• ☆ Clinical Trials Data Analysis
• ☆ Health Technology Assessment
• ☆ Cognitive Behavioral Therapy
• ☆ Health Education
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Feasibility Studies
• ☆ Fact Checking
• ☆ Literature Search
• ☆ Gray Literature Search
• ☆ Healthcare Communications
• ☆ Patient Education Materials
• ☆ Research Summaries & Abstracts
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ SOP & Protocol Writing
• ☆ Literature Review
• ☆ Traditional/Narrative Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Grant Writing

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Clinical Trial Documentation, Medical Writing, Technical Writing, General Proofreading & Editing

Research User Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review

Consulting Healthcare Consulting, Scientific and Technical Consulting

Data & AI Statistical Analysis, Data Visualization

職務経験

Researcher

King's College London

3月 2020 - 現在

Reseacher

Hampshire Hospitals NHS Foundation Trust

7月 2018 - 3月 2022

Researcher

Bold Health

1月 2021 - 1月 2022

学歴

PhD

King's College London, University of London - United Kingdom

6月 2022 - 現在

King's College London

- 1月 2024

MSc

University of Southampton

9月 2017 - 6月 2019

認定資格

• Introduction to Meta-analysis

  UCL

  11月 2022 - 現在

• Introduction to Systematic Reviews and Meta-analysis

  University of Bristol

  12月 2021 - 現在

• Essentials of Statistical Analysis (EOSA): Complete (Parts 1, 2, and 3)

  CITI Program

  10月 2021 - 現在

出版物

JOURNAL ARTICLE

Rayan Taher, Debra Gray, John Ramage, Kevin Sheng-Kai Ma (2024). The Quality of Life of Pseudomyxoma Peritonei Patients: A Scoping Review . European Journal of Cancer Care.

Rayan Taher, Che-Wei Hsu, Chloe Hampshire, Carolina Fialho, Clare Heaysman, Daniel Stahl, Sukhi Shergill, Jenny Yiend (2023). The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations . JMIR Mental Health.

The Safety of Digital Mental Health Interventions @article{209f58f40f734cad87de73b54dd848a6, title = "The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations", abstract = "Background: Evidence suggests that digital mental health interventions (DMHIs) for common mental health conditions are effective. However, digital interventions, such as face-to-face therapies, pose risks to patients. A safe intervention is considered one in which the measured benefits outweigh the identified and mitigated risks. Objective: This study aims to review the literature to assess how DMHIs assess safety, what risks are reported, and how they are mitigated in both the research and postmarket phases and building on existing recommendations for assessing, reporting, and mitigating safety in the DMHI and standardizing practice. Methods: PsycINFO, Embase, and MEDLINE databases were searched for studies that addressed the safety of DMHIs. The inclusion criteria were any study that addressed the safety of a clinical DMHI, even if not as a main outcome, in an adult population, and in English. As the outcome data were mainly qualitative in nature, a meta-analysis was not possible, and qualitative analysis was used to collate the results. Quantitative results were synthesized in the form of tables and percentages. To illustrate the use of a single common safety metric across studies, we calculated odds ratios and CIs, wherever possible. Results: Overall, 23 studies were included in this review. Although many of the included studies assessed safety by actively collecting adverse event (AE) data, over one-third (8/23, 35%) did not assess or collect any safety data. The methods and frequency of safety data collection varied widely, and very few studies have performed formal statistical analyses. The main treatment-related reported AE was symptom deterioration. The main method used to mitigate risk was exclusion of high-risk groups. A secondary web-based search found that 6 DMHIs were available for users or patients to use (postmarket phase), all of which used indications and contraindications to mitigate risk, although there was no evidence of ongoing safety review. Conclusions: The findings of this review show the need for a standardized classification of AEs, a standardized method for assessing AEs to statically analyze AE data, and evidence-based practices for mitigating risk in DMHIs, both in the research and postmarket phases. This review produced 7 specific, measurable, and achievable recommendations with the potential to have an immediate impact on the field, which were implemented across ongoing and future research. Improving the quality of DMHI safety data will allow meaningful assessment of the safety of DMHIs and confidence in whether the benefits of a new DMHI outweigh its risks.", author = "Rayan Taher and Che-Wei Hsu and Chloe Hampshire and Carolina Fialho and Clare Heaysman and Daniel Stahl and Sukhi Shergill and Jenny Yiend", note = "Funding Information: The authors thank Dr Charlotte Hall and Dr Aislinn G{\'o}mez Bergin from the National Institute for Health and Care Research (NIHR) MindTech MedTech Co-operative and the University of Nottingham Biomedical Research Centre for their comments on an earlier draft of this manuscript. This work was supported by the Medical Research Council Biomedical Catalyst: Developmental Pathway Funding Scheme (DPFS), MRC Reference: MR/V027484/1. The authors would also like to express their gratitude to the NIHR Biomedical Research Centre hosted in South London and Maudsley National Health Service (NHS) Foundation Trust in partnership with King{\textquoteright}s College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, Department of Health and Social Care, the Economic and Social Research Council, or King{\textquoteright}s College London. Finally, the authors gratefully acknowledge the contributions made to this work by the STOP study Lived Experience Panel, supported by Dr Thomas Kabir and the McPin Foundation. Publisher Copyright: {\textcopyright}Rayan Taher, Che-Wei Hsu, Chloe Hampshire, Carolina Fialho, Clare Heaysman, Daniel Stahl, Sukhi Shergill, Jenny Yiend.", year = "2023", month = oct, day = "9", doi = "10.2196/47433", language = "English", volume = "10", pages = "e47433", journal = "JMIR Mental Health", issn = "2368-7959", publisher = "JMIR Publications", number = "1", } . JMIR Mental Health.

Rayan Taher, Victoria Evans, Alexios Tzivanakis, Siân Perkins, Samantha Westbrook, Alison Clarke, Louisa Andrews, Sophia Stanford(2023). Personalising care for patients: implementing a treatment summary folder following cytoreductive surgery . British Journal of Nursing. 32. (17). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString S20--S25. Mark Allen Group

Rayan Taher, Norman John Carr, Nancy Vanderpuye, Sophia Stanford (2023). Fear of Cancer Recurrence in peritoneal malignancy patients following treatment: a cross-sectional study . Journal of Cancer Survivorship.

Rayan Taher, Sophia Stanford, Ashok Roy, Catherine Rea, Ben Harris, Antony Ashton, Sarah Mangles, Tamara Everington, Daniel Burns, Emily Arbuthnot, et al.(2023). Pilot study to evaluate hypercoagulation and inflammation using rotational thromboelastometry and calprotectin in COVID-19 patients . PLOS ONE. 18. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString e0269738. Public Library of Science ({PLoS})

Rayan Taher, Sophia Stanford, Norman Carr, Nancy Vanderpuye, Kandiah Chandrakumaran(2022). Fear of cancer recurrence in peritoneal malignancy patients following complete cytoreductive surgery (CCRS) and hyperthermic intraperitoneal chemotherapy (HIPEC): an observational study protocol . BMJ Open. 12. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString e057294. {BMJ}

Rayan Taher, Thérèse Allan(2020). Posttraumatic Growth in Displaced Syrians in the UK: A Mixed-Methods Approach . Journal of Loss and Trauma. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--15. Informa {UK} Limited