Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Annmarie Lewis"'
Autor:
Sarah E. Knowles, Dawn Allen, Ailsa Donnelly, Jackie Flynn, Kay Gallacher, Annmarie Lewis, Grace McCorkle, Manoj Mistry, Pat Walkington, Lisa Brunton
Publikováno v:
Health Expectations, Vol 25, Iss 1, Pp 103-115 (2022)
Abstract Background A Learning Health System (LHS) is a model of how routinely collected health data can be used to improve care, creating ‘virtuous cycles’ between data and improvement. This requires the active involvement of health service stak
Externí odkaz:
https://doaj.org/article/6251b8896b3845dbbb08dd3e0bb2aa0a
Autor:
Nicola Small, Bie Nio Ong, Annmarie Lewis, Dawn Allen, Nigel Bagshaw, Papreen Nahar, Caroline Sanders, the DEPEND team
Publikováno v:
Research Involvement and Engagement, Vol 7, Iss 1, Pp 1-18 (2021)
Plain English summary The way we collect and use patient experience data is important because of concern that patients and carers may be excluded by the limited ways it is currently done in NHS services. In this study, we worked in partnership with r
Externí odkaz:
https://doaj.org/article/882ea802c14642c1825dc9077930c7af
Autor:
Sarah E. Knowles, Dawn Allen, Ailsa Donnelly, Jackie Flynn, Kay Gallacher, Annmarie Lewis, Grace McCorkle, Manoj Mistry, Pat Walkington, Jess Drinkwater
Publikováno v:
Research Involvement and Engagement, Vol 7, Iss 1, Pp 1-14 (2021)
Plain English summary We conducted a study exploring how patients could be involved in improving services using health data. This paper reports on the evaluation of that study. We collected different kinds of feedback throughout, including a survey o
Externí odkaz:
https://doaj.org/article/4e5b026f251f4efda1d73bed8ecc3419
Autor:
Caroline Sanders, Papreen Nahar, Nicola Small, Damian Hodgson, Bie Nio Ong, Azad Dehghan, Charlotte A Sharp, William G Dixon, Shôn Lewis, Evangelos Kontopantelis, Gavin Daker-White, Peter Bower, Linda Davies, Humayun Kayesh, Rebecca Spencer, Aneela McAvoy, Ruth Boaden, Karina Lovell, John Ainsworth, Magdalena Nowakowska, Andrew Shepherd, Patrick Cahoon, Richard Hopkins, Dawn Allen, Annmarie Lewis, Goran Nenadic
Publikováno v:
Health Services and Delivery Research, Vol 8, Iss 28 (2020)
Background: Collecting NHS patient experience data is critical to ensure the delivery of high-quality services. Data are obtained from multiple sources, including service-specific surveys and widely used generic surveys. There are concerns about the
Externí odkaz:
https://doaj.org/article/3f565277ec5d4211a656facb91f79c3a
Autor:
Ruth Boaden, Evan Kontopantelis, Karina Lovell, Goran Nenadic, Peter Bower, Richard Hopkins, Nigel Bagshaw, Bie Nio Ong, Charlotte A Sharp, Andrew Shepherd, Dawn Allen, Rebecca Spencer, Damian Hodgson, John Ainsworth, Papreen Nahar, Patrick Cahoon, Azad Dehghan, Annmarie Lewis, Shôn Lewis, Caroline Sanders, Gavin Daker-White, Linda Davies, Magdalena Nowakowska, Humayun Kayesh, Nicola Small, Aneela McAvoy, William G Dixon
Publikováno v:
Research Involvement and Engagement, Vol 7, Iss 1, Pp 1-18 (2021)
Research Involvement and Engagement
Small, N, Ong, B N, Lewis, A, Allen, D, Bagshaw, N, Nahar, P & Sanders, C 2021, ' Co-designing New Tools for Collecting, Analysing and Presenting Patient Experience Data in NHS Services: Working in Partnership With Patients and Carers ', Research Involvement and Engagement, vol. 7, no. 1, 85, pp. 85 . https://doi.org/10.1186/s40900-021-00329-3
Research Involvement and Engagement
Small, N, Ong, B N, Lewis, A, Allen, D, Bagshaw, N, Nahar, P & Sanders, C 2021, ' Co-designing New Tools for Collecting, Analysing and Presenting Patient Experience Data in NHS Services: Working in Partnership With Patients and Carers ', Research Involvement and Engagement, vol. 7, no. 1, 85, pp. 85 . https://doi.org/10.1186/s40900-021-00329-3
Background The way we collect and use patient experience data is vital to optimise the quality and safety of health services. Yet, some patients and carers do not give feedback because of the limited ways data is collected, analysed and presented. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b367b57b1e9bcc43e8cac90eeda4a454
http://sro.sussex.ac.uk/id/eprint/105589/1/s40900-021-00329-3.pdf
http://sro.sussex.ac.uk/id/eprint/105589/1/s40900-021-00329-3.pdf
Autor:
Lisa Brunton, Dawn Allen, Annmarie Lewis, Manoj Mistry, Jackie Flynn, Ailsa Donnelly, Pat Walkington, Sarah Knowles, Grace McCorkle, Kay Gallacher
Publikováno v:
Health Expect
Health Expectations, Vol 25, Iss 1, Pp 103-115 (2022)
Knowles, S E, Allen, D, Donnelly, A, Flynn, J, Gallacher, K, Lewis, A, McCorkle, G, Mistry, M, Walkington, P & Brunton, L 2022, ' Participatory codesign of patient involvement in a Learning Health System: How can data-driven care be patient-driven care? ', Health Expectations, vol. 25, no. 1, pp. 103-115 . https://doi.org/10.1111/hex.13345
Health Expectations, Vol 25, Iss 1, Pp 103-115 (2022)
Knowles, S E, Allen, D, Donnelly, A, Flynn, J, Gallacher, K, Lewis, A, McCorkle, G, Mistry, M, Walkington, P & Brunton, L 2022, ' Participatory codesign of patient involvement in a Learning Health System: How can data-driven care be patient-driven care? ', Health Expectations, vol. 25, no. 1, pp. 103-115 . https://doi.org/10.1111/hex.13345
Background: A Learning Health System (LHS) is a model of how routinely collected health data can be used to improve care, creating ‘virtuous cycles’ between data and improvement. This requires the active involvement of health service stakeholders
Autor:
Karina Lovell, Annmarie Lewis, Dawn Allen, John Ainsworth, Damian Hodgson, Nicola Small, Patrick Cahoon, Ruth Boaden, William G Dixon, Goran Nenadic, Peter Bower, Richard Hopkins, Bie Nio Ong, Charlotte A Sharp, Linda Davies, Aneela McAvoy, Azad Dehghan, Evangelos Kontopantelis, Andrew Shepherd, Rebecca Spencer, Papreen Nahar, Humayun Kayesh, Shôn Lewis, Gavin Daker-White, Caroline Sanders, Magdalena Nowakowska
Publikováno v:
Sanders, C, Nahar, P, Small, N, Hodgson, D, Ong, B N, Dehghan, A, Sharp, C, Dixon, W, Lewis, S, Kontopantelis, E, Daker-White, G, Bower, P, Davies, L, Kayesh, H, Spencer, R, McAvoy, A, Boaden, R, Lovell, K, Ainsworth, J, Nowakowska, M, Shepherd, A, Cahoon, P, Hopkins, R, Allen, D, Lewis, A & Nenadic, G 2020, ' Digital methods to enhance the usefulness of patient experience data in services for long-term conditions: the DEPEND mixed-methods study ', Health Service & Delivery Research (NIHR Journals), vol. 8, no. 28, pp. 1-127 . https://doi.org/10.3310/hsdr08280, https://doi.org/10.3310/hsdr08280
Health Services and Delivery Research, Vol 8, Iss 28 (2020)
Health Services and Delivery Research, Vol 8, Iss 28 (2020)
Background Collecting NHS patient experience data is critical to ensure the delivery of high-quality services. Data are obtained from multiple sources, including service-specific surveys and widely used generic surveys. There are concerns about the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9764d009da4ba59b583d515b8a5ba4be
https://doi.org/10.3310/hsdr08280
https://doi.org/10.3310/hsdr08280