Background: UK Asian and black patients experience longer cancer diagnostic intervals - period between initial symptomatic presentation in primary care and cancer diagnosis.
Aim: To determine whether these differences are due to prolonged primary care intervals (period between first primary care presentation and secondary care referral), referral interval (period between referral and first secondary-care appointment) or secondary care interval (period between the first secondary care appointment and diagnosis).
Design And Setting: We conducted a cohort study of patients with seven common cancers (breast, lung, prostate, colorectal, oesophagogastric, myeloma, and ovarian), diagnosed after presenting symptoms in English primary care.
Background: England is short of General Practitioners (GPs). GP consultation rates, consultation duration, and workload are increasing. Electronic clinical decision support (eCDS) tools assist decision-making for screening, diagnosis, and risk-management.
View Article and Find Full Text PDFIntroduction: Identifying cancer earlier can help save lives. An increasingly popular approach to diagnosing cancer earlier is in the development of risk prediction models to be applied to the electronic healthcare record of patients. Development of these models requires systematic and thorough identification of the risk factors that might increase an individual's propensity to develop the disease.
View Article and Find Full Text PDFIdentifying high and poorly performing organisations is common practice in healthcare. Often this is done within a frequentist inferential framework where statistical techniques are used that acknowledge that observed performance is an imperfect measure of underlying quality. Various methods are employed for this purpose, but the influence of chance on the degree of misclassification is often underappreciated.
View Article and Find Full Text PDFObjectives: To investigate the role of comorbid chronic obstructive pulmonary disease (COPD) and symptom type on general practitioners' (GP's) symptom attribution and clinical decision-making in relation to lung cancer diagnosis.
Design: Vignette survey with a 2×2 mixed factorial design.
Setting: A nationwide online survey exploring clinical decision-making in primary care.
Purpose: Missed and delayed cancer diagnoses are common, harmful, and often preventable. Automated measures of quality of cancer diagnosis are lacking but could identify gaps and guide interventions. We developed and implemented a digital quality measure (dQM) of cancer emergency presentation (EP) using electronic health record databases of two health systems and characterized the measure's association with missed opportunities for diagnosis (MODs) and mortality.
View Article and Find Full Text PDFBackground: Guidelines recommend urgent chest X-ray for newly presenting dyspnoea or haemoptysis but there is little evidence about their implementation.
Methods: We analysed linked primary care and hospital imaging data for patients aged 30+ years newly presenting with dyspnoea or haemoptysis in primary care during April 2012 to March 2017. We examined guideline-concordant management, defined as General Practitioner-ordered chest X-ray/CT carried out within 2 weeks of symptomatic presentation, and variation by sociodemographic characteristic and relevant medical history using logistic regression.
Background: Blood tests can support the diagnostic process in primary care. Understanding how symptomatic presentations are associated with blood test use in patients subsequently diagnosed with cancer can help to benchmark current practices and guide interventions.
Methods: English National Cancer Diagnosis Audit data on 39,751 patients with incident cancer in 2018 were analysed.
Background: Timely diagnosis of cancer in patients who present with symptoms in primary care is a quality-improvement priority.
Aim: To examine possible changes to aspects of the diagnostic process, and its timeliness, before and after publication of the National Institute for Health and Care Excellence's (2015) guidance on the referral of suspected cancer in primary care.
Design And Setting: Comparison of findings from population-based clinical audits of cancer diagnosis in general practices in England for patients diagnosed in 2018 or 2014.
Introduction: The UK has worse cancer outcomes than most comparable countries, with a large contribution attributed to diagnostic delay. Electronic risk assessment tools (eRATs) have been developed to identify primary care patients with a ≥2% risk of cancer using features recorded in the electronic record.
Methods And Analysis: This is a pragmatic cluster randomised controlled trial in English primary care.
Background: Blood tests can support the diagnostic process in patients with cancer but how often they are used is unclear.
Aim: To explore use of common blood tests before cancer diagnosis in primary care.
Design And Setting: English National Cancer Diagnosis Audit data on 39 752 patients with cancer diagnosed in 2018.
Background: The majority of colorectal cancer is diagnosed in patients following symptomatic presentation in the UK.
Aim: To identify windows of opportunity for timely investigations or referrals in patients presenting with colon and rectal cancer-relevant symptoms or abnormal blood tests.
Design And Setting: A retrospective cohort study was undertaken using linked primary care and cancer registry data for patients with colorectal cancer diagnosed in England between 2012 and 2015.
Background: Chest X-ray (CXR) is the first-line test for lung cancer in many settings. Previous research has suggested that higher utilisation of CXR is associated with improved outcomes.
Aim: To explore the associations between characteristics of general practices and frequency of investigation with CXR.
Background: Understanding pre-diagnostic test use could reveal diagnostic windows where more timely evaluation for cancer may be indicated.
Aim: To examine pre-diagnostic patterns of results of abnormal blood tests in patients with bladder and renal cancer.
Design And Setting: A retrospective cohort study using primary care and cancer registry data on patients with bladder and renal cancer who were diagnosed between April 2012 and December 2015 in England.
Background: It has been proposed that changes in healthcare use before cancer diagnosis could signal opportunities for quicker detection, but systematic appreciation of such evidence is lacking. We reviewed studies examining pre-diagnostic changes in healthcare utilisation (e.g.
View Article and Find Full Text PDFBackground: The English Cancer Patient Experience Survey (CPES) is a regularly conducted survey measuring the experience of cancer patients. We studied the survey's underlying structure using factor analysis to identify potential for improvements in reporting or questionnaire design.
Methods: Cancer Patient Experience Survey 2015 respondents (n = 71,186, response rate 66%) were split into two random subgroups.
Background: There is uncertainty regarding how pre-existing conditions (morbidities) may influence the primary care investigation and management of individuals subsequently diagnosed with cancer.
Methods: We identified morbidities using information from both primary and secondary care records among 11,716 patients included in the English National Cancer Diagnosis Audit (NCDA) 2014. We examined variation in 5 measures of the diagnostic process (the primary care interval, diagnostic interval, number of pre-referral consultations, use of primary care-led investigations, and referral type) by both primary care- and hospital records-derived measures of morbidity.
Background: The diagnostic assessment of abdominal symptoms in primary care presents a challenge. Evidence is needed about the positive predictive values (PPVs) of abdominal symptoms for different cancers and inflammatory bowel disease (IBD).
Methods And Findings: Using data from The Health Improvement Network (THIN) in the United Kingdom (2000-2017), we estimated the PPVs for diagnosis of (i) cancer (overall and for different cancer sites); (ii) IBD; and (iii) either cancer or IBD in the year post-consultation with each of 6 abdominal symptoms: dysphagia (n = 86,193 patients), abdominal bloating/distension (n = 100,856), change in bowel habit (n = 106,715), rectal bleeding (n = 235,094), dyspepsia (n = 517,326), and abdominal pain (n = 890,490).
Background: A standard measure of the cancer diagnostic pathway, diagnostic interval, is the time from "first presentation of cancer" to diagnosis. Cancer presentation may be unclear in patients with multimorbidity or non-specific symptoms, signs or test results ("features"). We propose an alternative, guideline interval, with a more certain start date; namely, when the patient first meets suspected-cancer criteria for investigation or referral.
View Article and Find Full Text PDFBackground: In England, patients who meet National Institute for Health and Care Excellence (NICE) guideline criteria for suspected cancer should receive a specialist assessment within 14 days. We examined how quickly bladder and kidney cancer patients who met fast-track referral criteria were actually diagnosed.
Methods: We used linked primary care and cancer registration data on bladder and kidney cancer patients who met fast-track referral criteria and examined the time from their first presentation with alarm features to diagnosis.
Background: The faecal immunochemical test (FIT) was introduced to triage patients with low-risk symptoms of possible colorectal cancer in English primary care in 2017, underpinned by little primary care evidence.
Methods: All healthcare providers in the South West of England (population 4 million) participated in this evaluation. 3890 patients aged ≥50 years presenting in primary care with low-risk symptoms of colorectal cancer had a FIT from 01/06/2018 to 31/12/2018.
Background: Surveys collecting patient experience data often contain a large number of items covering a wide range of experiences. Knowing which areas to prioritize for improvements efforts can be difficult.
Objective: To examine which aspects of care experience are the key drivers of overall satisfaction with cancer care.