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3.
BMJ ; 379: o2786, 2022 11 22.
Article in English | MEDLINE | ID: mdl-36414250
5.
Clin Med (Lond) ; 22(3): 241-245, 2022 05.
Article in English | MEDLINE | ID: mdl-35584834

ABSTRACT

BACKGROUND: The multidisciplinary diagnostic clinic (MDC) model for 'non-specific' symptoms has been piloted in the UK. We aimed to assess the degree to which the MDC pathway was influenced by socioeconomic factors. METHODS: We collected data for all patients referred to the MDC from 01 January 2017 - 28 March 2019. Indices of multiple deprivation (IMD) scores were matched to patients' postcodes and referring general practitioner (GP) location. Socioeconomic data for MDC patients was compared with all other cancer patients diagnosed in the MDC's base hospital, Airedale General Hospital (AGH), in 2018. Statistical significance was tested using the Mann-Whitney U test and Spearman's rank correlation. RESULTS: No significant difference was found between MDC pathway and the rest of AGH when comparing social deprivation of patients.There was a moderate negative correlation between the IMD associated with the location of GP premises and the number of referrals; practices in more deprived locations referred fewer patients (p≤0.025). CONCLUSION: The MDC pathway referral rate seems to be affected by social deprivation in a similar manner to other cancer diagnosis pathways. Our work highlights the importance of engaging GP practices with socially deprived populations as the MDC programme is rolled out across the UK.


Subject(s)
Critical Pathways , Neoplasms , Humans , Neoplasms/diagnosis , Neoplasms/therapy , Referral and Consultation , Socioeconomic Factors
7.
Clin Med (Lond) ; 21(1): e45-e47, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33188011

ABSTRACT

During the first 3 months of 2020, as the COVID-19 pandemic developed, it was noticed that requests from primary care for investigations were decreasing, including those that form part of the diagnostic process for cancers. We therefore obtained data on the requests from primary care for chest X-rays (CXRs) and CA125 measurement our hospital received in the first half of 2020 and compared them with 2019. The number of CXRs declined by 93% in April 2020 compared with 2019, with the decline being greater for patient living in outlying areas. Requests from the emergency department also declined. Requests for CA125 measurement similarly fell by 77% from all areas. The requests increased in June, CA125 more than CXR. If this phenomenon is widespread it may have an impact on diagnosis of major conditions, particularly cancers and tuberculosis.


Subject(s)
COVID-19/diagnosis , Emergency Service, Hospital/statistics & numerical data , Lung/diagnostic imaging , Pandemics , Radiography, Thoracic/statistics & numerical data , COVID-19/epidemiology , Humans , Retrospective Studies , SARS-CoV-2 , United Kingdom/epidemiology
8.
Future Healthc J ; 7(2): e6-e7, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32550290
9.
BMJ ; 365: l4407, 2019 06 28.
Article in English | MEDLINE | ID: mdl-31253627
10.
Fam Pract ; 36(3): 284-290, 2019 05 23.
Article in English | MEDLINE | ID: mdl-30452584

ABSTRACT

BACKGROUND: Poor geographical access to health services and routes to a cancer diagnosis such as emergency presentations have previously been associated with worse cancer outcomes. However, the extent to which access to GPs determines the route that patients take to obtain a cancer diagnosis is unknown. METHODS: We used a linked dataset of cancer registry and hospital records of patients with a cancer diagnosis between 2006 and 2010 across eight different cancer sites. Primary outcomes were defined as 'desirable routes to diagnosis' [screen-detected and 2-week wait (TWW) referrals] and 'less desirable routes' [emergency presentations and death certificate only (DCO)]. All other routes (GP referral, inpatient elective and other outpatient) were specified as the reference category. Geographical access was measured as travel time in minutes from patients to their GP, and multinomial logistic regression was used to estimate relative risk ratios (RRR). RESULTS: Longer travel was associated with increased risk of diagnosis via emergency and DCO, but decreased risk of diagnosis via screening and TWW. Patients travelling over 30 minutes had the highest risk of a DCO diagnosis, which was statistically significant for breast, colorectal, lung, prostate, stomach and ovarian cancers (compared with patients with travel times ≤10 minutes: RRR 5.89, 7.02, 2.30, 4.75, 10.41; P < 0.01 and 3.51, P < 0.05). DISCUSSION: Poor access to GPs may discourage early engagement with health services, decreasing the likelihood of screening uptake and increasing the likelihood of emergency presentations. Extra effort is needed to promote early diagnosis in more distant patients.


Subject(s)
Health Services Accessibility/statistics & numerical data , Neoplasms/diagnosis , Neoplasms/epidemiology , Primary Health Care , Travel/statistics & numerical data , Aged , Aged, 80 and over , Cross-Sectional Studies , Emergency Service, Hospital , England/epidemiology , Female , Humans , Logistic Models , Male , Middle Aged , Registries , Time-to-Treatment
12.
Eur J Hosp Pharm ; 25(4): 204-206, 2018 Jul.
Article in English | MEDLINE | ID: mdl-31157020

ABSTRACT

OBJECTIVE: This study investigated the awareness of non-oncology specialist medical staff about commonly used oral anticancer medicines (OAMs). METHODS: Interviews conducted with a range of non-oncology specialist doctors. RESULTS: The recognition of OAMs was poor by all grades of doctors, with capecitabine being the only drug recognised by more than half the doctors (26 of 40; 65%). Consultant medical staff scored significantly better than most junior grades of staff. CONCLUSIONS: A barrier to safe patient care appears to be the initial identification of OAMs on acute admission. Once a drug had been identified as an OAM, doctors are aware that they should not prescribe it and should contact the acute oncology service for advice. A range of measures has been introduced to improve the identification of OAMs by doctors.

14.
Fam Pract ; 35(2): 199-202, 2018 03 27.
Article in English | MEDLINE | ID: mdl-29029123

ABSTRACT

Background: Ovarian cancer presents later in the UK compared to economically similar countries. National guidance suggests measuring CA125 in primary care as a means of bringing patients to specialist attention. Aim: To investigate the outcome of CA125 values measured in accordance with this policy. Setting and design: Examination of the laboratory records of female patients from the usual catchment population of one general hospital in whom CA125 was measured from primary care in a calendar year. Methods: Those with values >35 u/ml were identified. Electronic records within the hospital were interrogated to identify what further evaluation had been undertaken whether ovarian or primary peritoneal cancer had been diagnosed or what other pathology was identified. We also reviewed the CA125 measurement history of patients diagnosed over 3 years by any route. Results: One hundred and sixty-four new cases of CA125 ≥35 u/ml were found. Further information was available for 152 of them. Sixteen had ovarian or primary peritoneal cancer and 16 had other cancers. In 50 no cause for the abnormality was found. The remainder had various non-malignant conditions. The specificity for carcinoma of ovary/primary peritoneal carcinoma was 95.4% [95% confidence interval: 94.8-96.0). In a 3-year period, 65 patients were diagnosed with ovarian or primary peritoneal cancer, 5 had values of CA125 between 20 and 35 u/ml shortly before diagnosis. Conclusions: The CA125 level is a useful diagnostic test for ovarian cancer which has been embraced by primary care but higher sensitivity for earlier disease will require strategies to improve the specificity.


Subject(s)
CA-125 Antigen/blood , Ovarian Neoplasms/blood , Ovarian Neoplasms/diagnosis , Biomarkers, Tumor/blood , Electronic Health Records , Female , Humans , Practice Guidelines as Topic , Predictive Value of Tests , Primary Health Care/statistics & numerical data , United Kingdom
15.
16.
BMJ ; 358: j4195, 2017 09 14.
Article in English | MEDLINE | ID: mdl-28912252

Subject(s)
Neoplasms , Humans
18.
BMJ ; 357: j2070, 2017 04 27.
Article in English | MEDLINE | ID: mdl-28450450
19.
BMJ ; 356: j90, 2017 Jan 10.
Article in English | MEDLINE | ID: mdl-28073750
20.
Health Place ; 42: 11-18, 2016 11.
Article in English | MEDLINE | ID: mdl-27614062

ABSTRACT

This study seeks to examine the extent to which cancer services are geographically located according to cancer incidence, and assess the association with cancer survival. We identified hospital sites serving English PCTs (Primary Care Trusts) with the management and treatment of breast, lung and colorectal cancer. Geographical access was estimated as travel time in minutes from LSOAs (Lower Super Output Areas) to the nearest hospital site and aggregated to PCT level. Correlations between PCT level mean travel times and cancer cases were estimated using Spearman's rank correlation. Associations between PCT level mean travel times and cancer relative survival rates were estimated using linear regression with adjustment for area deprivation and for a PCT level measure of the reported ease of obtaining a doctor's appointment. We found that cancer services tended to be located farther from areas with more cancer cases, and longer average travel times are associated with worse survival after adjustment for age, sex, year and area deprivation. This suggests that geographical access to cancer services remains a concern in England.


Subject(s)
Health Services Accessibility , Healthcare Disparities , Neoplasms/radiotherapy , Travel/statistics & numerical data , Automobiles , Breast Neoplasms/epidemiology , Breast Neoplasms/radiotherapy , Cancer Care Facilities , Colorectal Neoplasms/epidemiology , Colorectal Neoplasms/radiotherapy , Cross-Sectional Studies , England/epidemiology , Female , Geography , Humans , Linear Models , Lung Neoplasms/epidemiology , Lung Neoplasms/radiotherapy , Male , Neoplasms/epidemiology , Primary Health Care , State Medicine , Survival , Time Factors
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