'None of Them Know Me': A Qualitative Study of the Implications of Locum Doctor Working for Patient Experience.
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| Title: | 'None of Them Know Me': A Qualitative Study of the Implications of Locum Doctor Working for Patient Experience. |
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| Authors: | Ferguson J; Health Services Management Centre, The University of Birmingham, Birmingham, UK., Stringer G; Alliance Manchester Business School, The University of Manchester, Manchester, UK., Walshe K; Alliance Manchester Business School, The University of Manchester, Manchester, UK., Donnelly A; NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, University of Manchester, Manchester, UK., Grigoroglou C; Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, UK., Allen T; Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, UK.; Danish Centre for Health Economics, University of Southern Denmark, Odense, Denmark., Kontopantelis E; NIHR School for Primary Care Research, Centre for Primary Care, Division of Population Health, Health Services Research and Primary Care, The University of Manchester, Manchester, UK.; Division of Informatics, Imaging and Data Science, University of Manchester, Manchester, UK., Ashcroft DM; NIHR Greater Manchester Patient Safety Research Collaboration, Division of Pharmacy and Optometry, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK. |
| Source: | Health expectations : an international journal of public participation in health care and health policy [Health Expect] 2024 Aug; Vol. 27 (4), pp. e14156. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 9815926 Publication Model: Print Cited Medium: Internet ISSN: 1369-7625 (Electronic) Linking ISSN: 13696513 NLM ISO Abbreviation: Health Expect Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1369-7625 |
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| DOI: | 10.1111/hex.14156 |
