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Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit

BACKGROUND: Continual improvements in diagnostic processes are needed to minimise the proportion of patients with cancer who experience diagnostic delays. Clinical audit is a means of achieving this. AIM: To characterise key aspects of the diagnostic process for cancer and to generate baseline measu...

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Autores principales: Swann, Ruth, McPhail, Sean, Witt, Jana, Shand, Brian, Abel, Gary A, Hiom, Sara, Rashbass, Jem, Lyratzopoulos, Georgios, Rubin, Greg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737321/
https://www.ncbi.nlm.nih.gov/pubmed/29255111
http://dx.doi.org/10.3399/bjgp17X694169
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author Swann, Ruth
McPhail, Sean
Witt, Jana
Shand, Brian
Abel, Gary A
Hiom, Sara
Rashbass, Jem
Lyratzopoulos, Georgios
Rubin, Greg
author_facet Swann, Ruth
McPhail, Sean
Witt, Jana
Shand, Brian
Abel, Gary A
Hiom, Sara
Rashbass, Jem
Lyratzopoulos, Georgios
Rubin, Greg
author_sort Swann, Ruth
collection PubMed
description BACKGROUND: Continual improvements in diagnostic processes are needed to minimise the proportion of patients with cancer who experience diagnostic delays. Clinical audit is a means of achieving this. AIM: To characterise key aspects of the diagnostic process for cancer and to generate baseline measures for future re-audit. DESIGN AND SETTING: Clinical audit of cancer diagnosis in general practices in England. METHOD: Information on patient and tumour characteristics held in the English National Cancer Registry was supplemented by information from GPs in participating practices. Data items included diagnostic timepoints, patient characteristics, and clinical management. RESULTS: Data were collected on 17 042 patients with a new diagnosis of cancer during 2014 from 439 practices. Participating practices were similar to non-participating ones, particularly regarding population age, urban/rural location, and practice-based patient experience measures. The median diagnostic interval for all patients was 40 days (interquartile range [IQR] 15–86 days). Most patients were referred promptly (median primary care interval 5 days [IQR 0–27 days]). Where GPs deemed diagnostic delays to have occurred (22% of cases), patient, clinician, or system factors were responsible in 26%, 28%, and 34% of instances, respectively. Safety netting was recorded for 44% of patients. At least one primary care-led investigation was carried out for 45% of patients. Most patients (76%) had at least one existing comorbid condition; 21% had three or more. CONCLUSION: The findings identify avenues for quality improvement activity and provide a baseline for future audit of the impact of 2015 National Institute for Health and Care Excellence guidance on management and referral of suspected cancer.
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spelling pubmed-57373212017-12-29 Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit Swann, Ruth McPhail, Sean Witt, Jana Shand, Brian Abel, Gary A Hiom, Sara Rashbass, Jem Lyratzopoulos, Georgios Rubin, Greg Br J Gen Pract Research BACKGROUND: Continual improvements in diagnostic processes are needed to minimise the proportion of patients with cancer who experience diagnostic delays. Clinical audit is a means of achieving this. AIM: To characterise key aspects of the diagnostic process for cancer and to generate baseline measures for future re-audit. DESIGN AND SETTING: Clinical audit of cancer diagnosis in general practices in England. METHOD: Information on patient and tumour characteristics held in the English National Cancer Registry was supplemented by information from GPs in participating practices. Data items included diagnostic timepoints, patient characteristics, and clinical management. RESULTS: Data were collected on 17 042 patients with a new diagnosis of cancer during 2014 from 439 practices. Participating practices were similar to non-participating ones, particularly regarding population age, urban/rural location, and practice-based patient experience measures. The median diagnostic interval for all patients was 40 days (interquartile range [IQR] 15–86 days). Most patients were referred promptly (median primary care interval 5 days [IQR 0–27 days]). Where GPs deemed diagnostic delays to have occurred (22% of cases), patient, clinician, or system factors were responsible in 26%, 28%, and 34% of instances, respectively. Safety netting was recorded for 44% of patients. At least one primary care-led investigation was carried out for 45% of patients. Most patients (76%) had at least one existing comorbid condition; 21% had three or more. CONCLUSION: The findings identify avenues for quality improvement activity and provide a baseline for future audit of the impact of 2015 National Institute for Health and Care Excellence guidance on management and referral of suspected cancer. Royal College of General Practitioners 2018-01 2017-12-19 /pmc/articles/PMC5737321/ /pubmed/29255111 http://dx.doi.org/10.3399/bjgp17X694169 Text en © British Journal of General Practice 2018 This article is Open Access: CC BY-NC 4.0 licence (http://creativecommons.org/licences/by-nc/4.0/).
spellingShingle Research
Swann, Ruth
McPhail, Sean
Witt, Jana
Shand, Brian
Abel, Gary A
Hiom, Sara
Rashbass, Jem
Lyratzopoulos, Georgios
Rubin, Greg
Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit
title Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit
title_full Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit
title_fullStr Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit
title_full_unstemmed Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit
title_short Diagnosing cancer in primary care: results from the National Cancer Diagnosis Audit
title_sort diagnosing cancer in primary care: results from the national cancer diagnosis audit
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737321/
https://www.ncbi.nlm.nih.gov/pubmed/29255111
http://dx.doi.org/10.3399/bjgp17X694169
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