Involving underrepresented groups: How unpaid carers influenced our data analysis

Autor: Anna Lawrence-Jones, Jodie Chan, Evgeniy Galimov, Roberto Fernandez Crespo, Sandeep Prashar, Clare McCrudden, Thomas Lewis, Shereen Aloysius, Jacob Oguntimehin, Rachel McCarthy, Helena Gavrielides, Melanie Leis, Alex Bottle, Matthew Chisambi

Publikováno v: International Journal of Population Data Science, Vol 8, Iss 2 (2023)

Objectives The recent census found that five million people in England and Wales provide unpaid care. With social services struggling, unpaid carers face increasing pressure. The North West London Networked Data Lab aimed to understand unpaid carers�

Externí odkaz: https://doaj.org/article/fc78c9cffe314b168de7a8d3644d81bd

Whose voices should shape global health education? Curriculum codesign and codelivery by people with direct expertise and lived experience

Autor: Shyam Sundar Budhathoki, Aula Abbara, Maryam Omar, Mervat Alhaffar, Victoria Pilkington, Melanie Leis, Amelia Kataria Golestaneh, Mariam Sbaiti, Mike J Streule, Hala Mkhallalati, Lillian Liu

Publikováno v: BMJ Global Health, Vol 6, Iss 9 (2021)

There are contrasting opinions of what global health (GH) curricula should contain and limited discussion on whose voices should shape it. In GH education, those with first-hand expertise of living and working in the contexts discussed in GH classroo

Externí odkaz: https://doaj.org/article/c60489aab68b4d6083d453733cda31e8

What is the feasibility and patient acceptability of a digital system for arm and hand rehabilitation after stroke? A mixed-methods, single-arm feasibility study of the 'OnTrack' intervention for hospital and home use

Autor: Gianpaolo Fusari, Ella Gibbs, Lily Hoskin, Anna Lawrence-Jones, Daniel Dickens, Roberto Fernandez Crespo, Melanie Leis, Jennifer Crow, Elizabeth Taylor, Fiona Jones, Ara Darzi

Publikováno v: BMJ open. 12(9)

ObjectivesArm weakness is common after stroke; repetitive activity is critical for recovery but people struggle with knowing what to do, volume, and monitoring progress. We studied the feasibility and acceptability of OnTrack, a digital intervention

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8599312be423ddcbd7509be08d70fa40
https://pubmed.ncbi.nlm.nih.gov/36171046

What can data mining tell us about patient safety? Using linear discriminant analysis to identify characteristics associated with positive safety rating in London NHS organisations

Autor: Roberto Fernández Crespo, Ana Luisa Neves, M. Abdulhadi Alagha, Melanie Leis, Kelsey Flott, Owen Bray, Gianluca Fontana, Jess Peck, Vicky Aldred, Ara Darzi

ObjectiveTo identify key characteristics associated with a CQC positive and negative safety rating across London NHS organisations.DesignAdvanced data analytics and linear discriminant analysis.Data sourcesLinked CQC data with patient safety variable

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5374729bd87def2fc7e02781c9e21046
https://doi.org/10.1101/2021.11.12.21266228

Public perceptions on data sharing: key insights from the UK and the USA

Autor: Aziz Sheikh, Ara Darzi, Melanie Leis, Saira Ghafur, Jackie Van Dael

Publikováno v: The Lancet. Digital Health
E446
E444
Ghafur, S, Van Dael, J, Leis, M, Darzi, A & Sheikh, A 2020, ' Public perceptions on data sharing: key insights from the UK and the USA ', The Lancet Digital Health, vol. 2, no. 9 . https://doi.org/10.1016/S2589-7500(20)30161-8

Data science and artificial intelligence (AI) have the potential to transform the delivery of health care. Health care as a sector, with all of the longitudinal data it holds on patients across their lifetimes, is positioned to take advantage of what

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::536e28145617289b7b215120a38464cf
https://doi.org/10.1016/s2589-7500(20)30161-8