Gandy, R, Warburton, CJ, Hayes, J and Shahgholian, A (2023) Novel diagrammatical analyses of turnover of patients with cancer. British Journal of Healthcare Management, 29 (10). pp. 1-13. ISSN 1358-0574

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Abstract

Background/Aims The Inverted Nomogramma di Gandy is a diagrammatical method for evaluating staff turnover in large organisations. This exploratory research investigated whether it could be applied to cohorts of ‘active’ patients with cancer (those within the first 5 years of diagnosis) and provide additional insights into the underlying dynamics of cancer incidence and prevalence. Methods The Inverted Nomogramma di Gandy method was applied using relevant data for all clinical commissioning groups in England in 2017. This article details the data and results for breast and lung cancer. To evaluate the method's usefulness to healthcare practitioners, a report was circulated throughout the Cheshire and Merseyside Cancer Alliance, with readers asked to respond to a 15-item survey about their perceptions of the method and its usefulness. Results were analysed using descriptive statistics. Results There were wide variations in incidence and prevalence of breast and lung cancer across England. The diagram showed dispersed patterns for cancer alliances and identified the locations of individual outliers, revealing the underlying dynamics. The patterns for breast cancer and lung cancer were very different; even within the Cheshire and Merseyside Cancer Alliance there were some marked variations between locations. Survey respondents were generally neutral or positive about the method. Conclusions This diagrammatical method provided useful analyses that were complementary to incidence and prevalence data, and potentially useful for practitioners. Because the method uses existing available data, it could be rapidly introduced to services.

Item Type:	Article
Additional Information:	This document is the Accepted Manuscript version of a Published Work that appeared in final form in British Journal of Healthcare Management, 2023 © MA Healthcare, after peer review and technical editing by the publisher. To access the final edited and published work see http://doi.org/10.12968/bjhc.2022.0047
Uncontrolled Keywords:	15 Commerce, Management, Tourism and Services
Subjects:	H Social Sciences > HF Commerce > HF5001 Business R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions:	Liverpool Business School
Publisher:	Mark Allen Group
SWORD Depositor:	A Symplectic
Date Deposited:	16 Oct 2023 14:03
Last Modified:	09 Apr 2024 00:50
DOI or ID number:	10.12968/bjhc.2022.0047
URI:	https://researchonline.ljmu.ac.uk/id/eprint/21719

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