Abstract
Background
Diagnosis of cancer through emergency presentation is associated with poorer prognosis. While reductions in emergency presentations have been described, whether known sociodemographic inequalities are changing is uncertain.
Methods
We analysed ‘Routes to Diagnosis’ data on patients aged ≥25 years diagnosed in England during 2006–2013 with any of 33 common or rarer cancers. Using binary logistic regression we determined time-trends in diagnosis through emergency presentation by age, deprivation and cancer site.
Results
Overall adjusted proportions of emergency presentations decreased during the study period (2006: 23%, 2013: 20%). Substantial baseline (2006) inequalities in emergency presentation risk by age and deprivation remained largely unchanged. There was evidence (p<0.05) of reductions in the risk of emergency presentations for most (28/33) cancer sites, without apparent associations between the size of reduction and baseline risk (p=0.26). If there had been modest reductions in age inequalities (ie, patients in each age group acquiring the same percentage of emergency presentations as the adjacent group with lower risk), in the last study year we could have expected around 11 000 fewer diagnoses through emergency presentation (ie, a nationwide percentage of 16% rather than the observed 20%). For similarly modest reductions in deprivation inequalities, we could have expected around 3000 fewer (ie, 19%).
Conclusion
The proportion of cancer diagnoses through emergency presentation is decreasing but age and deprivation inequalities prevail, indicating untapped opportunities for further improvements by reducing these inequalities. The observed reductions in proportions across nearly all cancer sites are likely to reflect both earlier help-seeking and improvements in diagnostic healthcare pathways, across both easier-to-suspect and harder-to-suspect cancers.
Keywords: cancer, inequalities, ageing, deprivation
Introduction
Evidence from several countries and healthcare systems indicates that notable proportions of patients with cancer are diagnosed in an emergency context, and such patients tend to have poor clinical outcomes.1–5 Reducing the proportion of ‘emergency presenters’, and known related sociodemographic inequalities, is therefore desirable. In England, the percentage of patients with incident cancer diagnosed through emergency presentation has been decreasing, but whether previously reported disparities in the risk of such presentations are widening or narrowing has not been formally examined.6
Several hypotheses to explain the observed downward trends in emergency presentations can be considered, bearing in mind their complex and multifactorial aetiology.1 7 Trends in the proportion of emergency presentations are likely to reflect changes in patient and healthcare system factors, for example, increasing public awareness of likely cancer symptoms leading to earlier help-seeking, or wider availability and use of diagnostic investigations by general practitioners (GPs).2 8 Because the frequency of emergency presentations is substantially higher in older patients and those living in more deprived areas,8 it is important to establish whether these sociodemographic inequalities changed over time.7 9–11 In principle, awareness campaigns and efforts to improve diagnostic care may have resulted in either widening or narrowing of these inequalities.
We therefore aimed to examine changes over time in sociodemographic inequalities and cancer site variation in the proportion of cancers diagnosed through emergency presentation, to acquire insights about their potential aetiology and to inform potential targeting of interventions.1 7
Methods
Data
We longitudinally analysed population-based ’Routes to Diagnosis' data, on all cancer cases diagnosed at one of 33 different cancer sites, among patients aged 25 years and older in England during 2006–2013. The dataset was developed by the Public Health England National Cancer Registration and Analysis Service.2 It combines information from different data sources, including cancer registration, Hospital Episode Statistics, Cancer Waiting Times and National Health Service cancer screening programme (breast, bowel, cervical) data. It assigns diagnostic routes to all incident cancer cases, including emergency presentation, defined as diagnosis of cancer following an emergency hospital admission (including via GP, accident and emergency or bed bureau).2
Information was also available on year of diagnosis, sex, age group (25–49, 50–59, 60–69, 70–79, 80+ years of age), deprivation (five categories based on quintiles of the Income Domain of the 2010 version of the Index of Multiple Deprivation (IMD) of the Lower Super Output Area of the patient’s residence),12 cancer site (melanoma, brain, breast, lung, oral, oropharyngeal, thyroid, laryngeal, oesophageal, stomach, liver, renal, pancreatic, bladder, colon, small intestinal, rectal, anal, sarcoma, mesothelioma, multiple myeloma, Hodgkin’s lymphoma, non-Hodgkin’s lymphoma (NHL), leukaemia [acute lymphoblastic (ALL), acute myeloid (AML), chronic lymphocytic, chronic myeloid), cervical, uterine, prostate, testicular and cancer of unknown primary; the relevant International Statistical Classification of Diseases and Related Health Problems 10th revision (ICD-10) code definitions are included in online supplementary table S1).
jech-2017-210371supp001.pdf (1.3MB, pdf)
Analysis
We aimed to examine time trends in emergency presentation and related sociodemographic inequalities and cancer site variation. We treated emergency presentation (vs diagnosis through any other diagnostic route) as a binary outcome. We performed adjusted analyses, by fitting two binary logistic regression models. Sex, age group, deprivation group and cancer site were all treated as categorical variables. We treated year as a continuous variable in both models in the main analysis, because this provided a single estimate (adjusted odds ratio [OR]) to represent overall time-trends. Initial analysis demonstrated that a categorical treatment of year provided a statistically significant improvement in the fit of models (that are described below) compared with a linear treatment of year, although it had little practical implication when considering the differences in the estimated inequality trends. Given that the additional benefit from a categorical treatment of year was limited and at the expense of a substantial increase in complexity of model estimates, in our main results we present the results of the model treating year as linear, but present those obtained using a categorical treatment of year as a sensitivity analysis (see the ’Results' section).
We first estimated adjusted associations (ORs) between year of diagnosis, sex, age group, deprivation group and cancer site and our outcome of interest (emergency presentation) by including these variables as main effects in a logistic regression model (with respective reference groups being 2006, male, 70–79 years, patients living in the least deprived areas and colon cancer; we treated year as a continuous variable [0, 1, …7] given an approximate linear relationship between year and proportions of emergency presentations). Using this model, we then predicted case-mix adjusted proportions of emergency presentations for each sex, age group, deprivation group and cancer site, in 2006 and 2013, i.e. the first and last study years, respectively.
We fitted a second model that had a similar structure to the first, and included the interaction terms sex*year, age group*year, deprivation*year, cancer site*year. This second model was used to formally examine whether inequalities by age and deprivation were changing over time, by inspecting the p values for the interaction terms age*year and deprivation*year, respectively. We then used this model to determine age group-specific and deprivation group-specific adjusted estimates in proportions of emergency presentations, by year. We also assessed the potential impact of hypothetical modest reductions in age and deprivation inequalities, by estimating the number of emergency presentations in 2013 (last year of the study period) had all patients had the same risk of emergency presentation as the adjacent age group with a lower risk of emergency presentation, and compared these with those observed in 2013. We then repeated the same analyses where all patients had the same risk of emergency presentation as the adjacent deprivation group with a lower risk of emergency presentation.
We additionally compared time-trends in proportions of emergency presentations by cancer site. The interaction term cancer site*year allowed us to formally test for changing inequalities between cancer sites, and estimate adjusted cancer site-specific proportions of emergency presentations per year. Finally, we determined whether baseline (2006) proportions of emergency presentation for each cancer site were associated with the degree of change in that outcome between 2006 and 2013 (ie, whether a higher baseline proportion was associated with a steeper decreasing trend, or vice versa), by estimating the Spearman’s rank correlation coefficient between the cancer-specific adjusted ORs of emergency presentation for 2013 vs 2006, and the cancer-specific odds of emergency presentation in 2006.
All analyses were carried out in Stata SE V.13.
Results
During 2006–2013, there were 2 042 192 cases diagnosed with one of the 33 studied cancer sites, and among them 441 645 (21.6%) were diagnosed through emergency presentation.
The crude overall percentage of emergency presentations (across all cancer sites) decreased from 23.8% in 2006 to 20.0% in 2013 (table 1), with a crude OR for year of 0.97 (95% CI: 0.97 to 0.97) (see online supplementary table S2). The decrease was also evident after adjustment for case-mix variables as main effects (adjusted OR of 0.97, 95% CI: 0.97 to 0.97).
Table 1.
2006 | 2013 | |||||||
No. of EPs | No. of cancer cases | Crude % | Adjusted % | No. of EPs | No. of cancer cases | Crude % | Adjusted % | |
All cases | 56 551 | 237 415 | 23.8 | 23.0 | 55 313 | 276 569 | 20.0 | 20.4 |
Sex | ||||||||
Female | 26 418 | 117 696 | 22.4 | 23.4 | 25 907 | 135 095 | 19.2 | 20.8 |
Male | 30 133 | 119 719 | 25.2 | 22.7 | 29 406 | 141 474 | 20.8 | 20.0 |
Age group (years) | ||||||||
25–49 | 3199 | 23 733 | 13.5 | 16.6 | 3345 | 27 644 | 12.1 | 16.0 |
50–59 | 5386 | 34 264 | 15.7 | 17.1 | 4961 | 37 537 | 13.2 | 15.5 |
60–69 | 10 479 | 57 421 | 18.2 | 18.2 | 10 414 | 72 393 | 14.4 | 15.4 |
70–79 | 16 995 | 67 896 | 25.0 | 22.6 | 15 285 | 76 869 | 19.9 | 18.9 |
80+ | 20 492 | 54 101 | 37.9 | 33.3 | 21 308 | 62 126 | 34.3 | 30.7 |
Deprivation | ||||||||
1 (least) | 8744 | 46 474 | 18.8 | 19.9 | 9253 | 56 976 | 16.2 | 17.9 |
2 | 10 805 | 50 313 | 21.5 | 21.5 | 10 836 | 60 509 | 17.9 | 18.9 |
3 | 11 863 | 50 385 | 23.5 | 22.6 | 11 605 | 58 390 | 19.9 | 19.9 |
4 | 12 361 | 47 230 | 26.2 | 24.3 | 11 871 | 53 392 | 22.2 | 21.7 |
5 (most) | 12 778 | 43 013 | 29.7 | 26.9 | 11 748 | 47 302 | 24.8 | 23.5 |
Cancer site | ||||||||
Melanoma | 241 | 8699 | 2.8 | 3.3 | 237 | 12 120 | 2.0 | 2.3 |
Breast | 1859 | 38 913 | 4.8 | 5.2 | 1739 | 44 738 | 3.9 | 4.4 |
Oral | 135 | 1924 | 7.0 | 7.1 | 134 | 2624 | 5.1 | 5.8 |
Thyroid | 137 | 1617 | 8.5 | 9.4 | 182 | 2640 | 6.9 | 7.7 |
Uterine | 536 | 6040 | 8.9 | 9.4 | 538 | 7420 | 7.3 | 8.0 |
Ororpharyngeal | 123 | 1274 | 9.7 | 10.4 | 131 | 2261 | 5.8 | 7.2 |
Testicular | 156 | 1524 | 10.2 | 14.3 | 143 | 1709 | 8.4 | 12.0 |
Prostate | 3345 | 31 803 | 10.5 | 10.4 | 3134 | 40 146 | 7.8 | 8.2 |
Cervical | 273 | 2335 | 11.7 | 14.1 | 260 | 2572 | 10.1 | 11.4 |
Laryngeal | 215 | 1763 | 12.2 | 11.6 | 186 | 1807 | 10.3 | 10.7 |
Anal | 99 | 765 | 12.9 | 13.6 | 131 | 1012 | 12.9 | 13.2 |
Sarcoma | 171 | 1077 | 15.9 | 16.5 | 168 | 1522 | 11.0 | 12.6 |
HL | 168 | 1056 | 15.9 | 20.0 | 212 | 1285 | 16.5 | 19.0 |
Rectal | 1815 | 11 217 | 16.2 | 15.5 | 1441 | 11 182 | 12.9 | 12.4 |
Bladder | 1723 | 8491 | 20.3 | 17.0 | 1536 | 8716 | 17.6 | 15.4 |
Oesophageal | 1489 | 6451 | 23.1 | 21.1 | 1433 | 7215 | 19.9 | 19.1 |
CLL | 632 | 2482 | 25.5 | 23.8 | 481 | 2908 | 16.5 | 17.1 |
NHL | 2274 | 8405 | 27.1 | 27.2 | 2843 | 11 118 | 25.6 | 25.5 |
Renal | 1594 | 5774 | 27.6 | 27.4 | 1775 | 8338 | 21.3 | 23.0 |
Ovarian | 1806 | 5787 | 31.2 | 32.9 | 1591 | 6069 | 26.2 | 27.6 |
Colon | 6524 | 19 431 | 33.6 | 29.8 | 6625 | 22 328 | 29.7 | 26.7 |
Stomach | 2134 | 6346 | 33.6 | 29.9 | 1849 | 5603 | 33.0 | 28.7 |
CML | 189 | 536 | 35.3 | 35.2 | 167 | 597 | 28.0 | 29.3 |
Mesothelioma | 745 | 2086 | 35.7 | 35.4 | 736 | 2247 | 32.8 | 30.5 |
Multiple myeloma | 1307 | 3563 | 36.7 | 35.3 | 1473 | 4642 | 31.7 | 31.2 |
Lung | 12 735 | 32 680 | 39.0 | 36.6 | 12 653 | 36 247 | 34.9 | 33.0 |
Liver | 1334 | 2774 | 48.1 | 46.6 | 1845 | 4300 | 42.9 | 41.3 |
Small intestine | 360 | 746 | 48.3 | 48.6 | 533 | 1185 | 45.0 | 44.7 |
Pancreatic | 3387 | 6718 | 50.4 | 47.6 | 3482 | 7804 | 44.6 | 42.9 |
AML | 1115 | 2091 | 53.3 | 50.8 | 1246 | 2389 | 52.2 | 51.1 |
ALL | 121 | 215 | 56.3 | 59.6 | 146 | 253 | 57.7 | 61.5 |
CUP | 5618 | 9453 | 59.4 | 54.0 | 4172 | 7646 | 54.6 | 49.6 |
Brain | 2191 | 3379 | 64.8 | 69.2 | 2091 | 3926 | 53.3 | 59.2 |
*Adjusted proportions estimated from a multivariable logistic regression model where outcome is EP (vs non-EP), and independent variables are sex, age group, deprivation, cancer site, year, age group*year, deprivation*year and cancer site*year (year entered as continuous variable both for main and interaction terms). The adjusted proportion in a given year was the predicted proportion of EPs, had the distribution of case-mix variables in that particular year been the same as that observed across all study years (2006–2013).
ALL, acute lymphoblastic leukaemia; AML, acute myeloid leukaemia; CLL, chronic lymphocytic leukaemia; CML, chronic myeloid leukaemia; CUP, cancer of unknown primary; HL, Hodgkin’s lymphoma; NHL, non-Hodgkin’s lymphoma.
After examining interaction terms between sociodemographic and cancer site variables and year of diagnosis, we found evidence of differential time-trends by age group (p<0.0001), deprivation (p=0.01) and cancer site (p<0.0001) but not by sex (p=0.66).
Adjusted time-trends by age and deprivation
In 2006, there were notable inequalities in risk of emergency presentation by age and deprivation, with adjusted proportions of 17% vs 33% for 50–59 and 80+ year-old patients; and 20% vs 27% for patients living in the least and most deprived areas, respectively. These inequalities prevailed throughout the study period until 2013 (15% vs 31% for 50–59 and 80+ year-olds; and 18% vs 23% for patients living in the least and most deprived areas, respectively) (table 1; online supplementary table S2).
Adjusted proportions of emergency presentations decreased over time across all age groups, this decline being marginally faster for age groups 60–69 and 70–79 years (figure 1; table 2; online supplementary figure S1) with the range of age inequalities remaining fairly stable (figure 1; table 2). We estimated that had the risk of emergency presentation in each age group been that of the adjacent age group with a lower risk, there would have been 11 034 fewer emergency presentations in 2013 (table 2). That is, the overall proportion of emergency presentation in 2013 would have been 16% (44 279/276 569), instead of the observed 20%.
Table 2.
Adjusted % | Adjusted OR for 2013 vs 2006† | No. of emergency presentations in 2013 | No. of emergency presentations in 2013 that would be considered potentially avoidable (or ‘excess’), given modest reductions in inequalities‡ | ||
2006 | 2013 | ||||
Age group (years) | |||||
25–49 | 16.6 | 16.0 | 0.93 | 3345 | 150 |
50–59 | 17.1 | 15.5 | 0.85 | 4961 | 88 |
60–69 | 18.2 | 15.4 | 0.78 | 10 414 | – |
70–79 | 22.6 | 18.9 | 0.76 | 15 285 | 2861 |
80+ | 33.3 | 30.7 | 0.85 | 21 308 | 7935 |
Total | – | – | – | 55 313 | 11 034 |
Deprivation | |||||
Least | 19.9 | 17.9 | 0.76 | 9253 | – |
Second | 21.5 | 18.9 | 0.73 | 10 836 | 468 |
Third | 22.6 | 19.9 | 0.73 | 11 605 | 663 |
Fourth | 24.3 | 21.7 | 0.74 | 11 871 | 989 |
Most | 26.9 | 23.5 | 0.71 | 11 748 | 962 |
Total | – | – | – | 55 313 | 3081 |
*Adjusted OR values in this column are derived as described in footnote '†'. Therefore, the presented adjusted OR values (2013 vs 2006) relate to the patient group defined by the reference category of each of the other main effect variables, ie, for each age group, they relate to patients who are male, living in least deprived areas, with colon cancer; and for deprivation group, they relate to patients who are male, aged 60–69 years, with colon cancer.
†Adjusted proportions and ORs estimated from a multivariable logistic regression model where outcome is emergency presentation (vs non- emergency presentation), and independent variables are sex, age group, deprivation, cancer site, year, age group*year, deprivation*year and cancer site*year (year entered as continuous variable both for main and interaction terms). The adjusted proportion in a given year was the predicted proportion of emergency presentations, had the distribution of case-mix variables in that particular year been the same as that observed across all study years (2006–2013).
‡Number of fewer cases of emergency presentations had each age and deprivation group had the same risk of emergency presentation as that of the adjacent group with a lower risk (eg, had those aged 50–59 years in 2006 had the same risk as those aged 25–49 years, ie, 16.5% rather than 17.0%). This was usually the younger age group or lower level deprivation group. However, in 2013, those aged 50–59 years had lower risks than those aged 25–49 years, and those aged 60–69 years had lower risks than those aged 50–59 years.
Adjusted proportions of emergency presentations generally decreased over time, similarly across all deprivation groups (table 2; figure 1; online supplementary figure S1), with the range of deprivation group inequalities remaining fairly stable between 2006 and 2013 (similar to what was observed for inequality by age group). We estimated that had the risk of emergency presentation in each deprivation group2–5 been that of the less deprived group adjacent to it, there would have been 3081 fewer emergency presentations in 2013 with the overall adjusted proportion of emergency presentations in 2013 being 19% (52 742/276 569) instead of 20%.
Adjusted time-trends by cancer site
Figure 2 illustrates trends in the adjusted proportions of emergency presentations with year of diagnosis, by cancer site, for 10 cancer sites (and also shown for all 33 sites in online supplementary figures S2 and S3). Considering each cancer site individually, there was evidence for decreasing time-trends for 28 of the 33 cancer sites studied (p<0.0001 to p=0.01 for these 28 sites), with adjusted ORs of emergency presentations for 2013 vs 2006 ranging from 0.62 (95% CI: 0.57 to 0.67) for brain to 0.91 (95% CI 0.85 to 0.98) for stomach cancer (figure 3). Among the five remaining sites without sufficient statistical evidence for decreasing trends, there was an apparent (but not statistically significant) increase in the proportions of emergency presentations over time for only one site: ALL (adjusted OR: 1.05, 95% CI: 0.78 to 1.43). Despite substantial variation in the time-trend ‘slope’ by cancer site, there was no evidence of an association between the change in risk of emergency presentation over time and baseline risk of emergency presentation for different cancer sites (figure 4; Spearman’s rank correlation coefficient between adjusted OR for emergency presentation for 2013 vs 2006 and odds of emergency presentation in 2006: r=0.20, 95% CI: −0.15 to 0.51; p=0.26).
Sensitivity analysis
Repeating the main analysis by including diagnosis year as a categorical (as opposed to continuous) variable in the second model (which included both main effects and interaction terms), produced similar patterns of changes over time by age group, deprivation and cancer site, to those observed in main analysis (see online supplementary tables S3-S4 and figures S4-S5).
Discussion
There were substantial reductions in the proportion of patients with cancer diagnosed with cancer through an emergency presentation but large baseline age and deprivation group inequalities in proportions of emergency presentations remained unchanged throughout the study period. Decreasing trends were observed across most cancer sites, without apparent associations with baseline cancer site-specific risk. In the latest study year, modest reductions in the age gradient in proportions of emergency presentations (ie, had the risk been reduced to that of the adjacent group with the lower risk) would have resulted in around 11 000 fewer cases of cancer being diagnosed as emergencies. Meanwhile, for similarly modest reductions in deprivation inequalities we could have expected around 3000 fewer.
Strengths and limitations
We examined population-based data on over 2 million cancer cases from a recent 8-year period on patients with any of 33 different cancers, accounting for about 95% of all incident cancer cases. Beyond reductions in the percentage of emergency presentations, it should also be noted that the absolute number of cancer cases diagnosed through an emergency presentation also decreased. This minimises concerns about artefactually decreasing trends resulting from inflation of the number of incident cases due to potential overdiagnosis of certain cancer sites.13 14 It is likely that the observed decrease in emergency presentations partly reflects decreasing trends in the incidence of advanced stage disease,3 but we could not examine this hypothesis, given insufficiently complete data during most study years. Although increasing attendance rates at accident and emergency departments have been observed in recent periods,15 this factor is unlikely to have substantially biased the findings, as we have observed opposite (downward) trends in the proportion of patients with cancer diagnosed through emergency presentation.
Across the study years, patients were assigned to deprivation groups by classifying their small area of residence according to the Index of Multiple Deprivation scores of a single year (2010). Given that deprivation levels in a small area evolve over time (eg, due to redevelopment or inward/outward migration), this could have resulted in a degree of misclassification of the ‘true’ deprivation status of patients diagnosed in years other than 2010.16–18 We still, however, observe clear downward trends in emergency presentations across all (IMD 2010-defined) deprivation groups throughout the study period 2006–2013. Previous evidence on the impact of selective health migration on deprivation gradients in health outcomes such as mortality suggests that deprivation differences over time that may have been missed due to the above misclassification are likely to be small.19
Comparison with other studies
A recent in-depth review documented that age and socioeconomic group inequalities exist in the risk of emergency presentation in a range of countries and health systems, but identified no evidence about time-trends in emergency presentations from countries other than England.1 6 20 Our study builds on these prior reports by formally examining adjusted trends in sociodemographic inequalities and cancer site variation.
Implications for policy and practice and research
The study findings have several implications. Although biological/disease factors (such as tumour aggressiveness and malignant potential) influence the risk of emergency presentation, these are unlikely to change during a short period. Therefore, the observed decreases are likely to indicate changes in patient (e.g. help-seeking behaviour) or healthcare system factors, which appear to have been occurring across age and deprivation groups. However, partitioning the individual contribution of either patient or healthcare factors is challenging.
It should be acknowledged that age group inequalities in the risk of emergency presentation may, partly, reflect age-related variation in tumour biology. In contrast, deprivation group inequalities should theoretically be preventable in their near totality, as differences in disease factors by deprivation group are limited. Given that emergency presentation is associated with poorer clinical outcomes (such as survival) compared with other diagnostic routes,2 3 21 even modest reductions in age and deprivation group inequalities could lead to important population-wide public health gains. There is an increasing number of public health education campaigns about alarm symptoms that may indicate cancer.9 22 Whether these campaigns actually reduce inequalities is uncertain, and campaign effects on younger age groups and more affluent individuals are also likely.22 Several such interventions have taken place after the end of our study period, and future monitoring of trends in inequalities is needed.
Decreasing proportions of emergency presentations were observed for most cancer sites, without obvious associations with baseline (2006) risk, the availability of screening programmes for certain cancers (breast and colorectal in particular) or alarm symptom awareness campaigns in latter study years.9 Therefore, downward trends are likely to reflect changes in general attitudes about how quickly people seek medical help for new symptoms, or healthcare system improvements in diagnostic care (eg, greater use of specialist investigations or of urgent referral pathways for suspected cancer, thereby reducing the risk of emergency presentation during expectant management or while awaiting specialist assessment). These likely changes seem to have delivered benefits across the great majority of cancer sites.23 24 It is also possible that public health education campaigns about alarm symptoms, even if usually targeting specific cancer sites, have had broader benefits across cancer sites.
In conclusion, the proportion of patients with cancer diagnosed through an emergency presentation is decreasing across all age and deprivation groups and for most cancer sites, but inequalities between these patient groups prevail. It has been argued that earlier diagnosis initiatives should ’aim to reduce the proportion of patients with cancer who are diagnosed as emergencies to the absolute minimum dictated by tumour aggressiveness, having removed the potential influence of either healthcare or patient factors’.7 The findings therefore signal remaining opportunities to further decrease emergency presentations to the minimum levels dictated by tumour factors, through interventions targeting population subgroups at the greatest risk and continuing efforts to improve the quality of diagnostic care.
What is already known on this subject.
Many patients with cancer are diagnosed through an emergency presentation, which is associated with worse survival.
There are large age and deprivation inequalities in risk of emergency presentation, with older patients and those living in more deprived areas being at higher risk.
In England, reductions in the risk of emergency presentations have been described but whether baseline inequalities are widening or narrowing is not known.
What this study adds.
While there are welcome reductions in risk of emergency presentation, sociodemographic inequalities remained largely unchanged during 2006–2013.
If there had been modest reductions in age and deprivation inequalities, respectively, in the final study year we could have expected 11 000 and 3000 fewer cancer diagnoses as emergencies, respectively, corresponding to overall nationwide percentages of emergency presentations of 16% and 19% instead of the observed 20%.
Policy implications.
The findings signal the potential for further reductions in the risk of emergency presentations by eliminating sociodemographic inequalities, particularly regarding deprivation gradients in this risk.
Acknowledgments
This project involves data derived from patient-level information collected by the NHS, as part of the care and support of patients with cancer. The data are collated, maintained and quality assured by the National Cancer Registration and Analysis Service, which is part of Public Health England (PHE). Access to the data was facilitated by the PHE Office for Data Release (release ODR_2014_252).
Footnotes
Contributors: Planning: GL, AH, SW, SMcP. Conduct: AH, SW, GAA, LE-B. Reporting: AH, GL, SW, LE-B, SMcP, GAA. All authors contributed to the conceptualisation of the paper and its methods and the drafting of the final manuscript.
Funding: AH and GL are supported by a Cancer Research UK Advanced Clinician Scientist Fellowship to GL (award C18081/A18180). GL is an associate director (co-investigator) of the multi-institutional CanTest Research Collaborative funded by a Cancer Research UK Population Research Catalyst award (C8640/A23385).
Competing interests: None declared.
Patient consent: Not required.
Ethics approval: We used anonymous (de-personalised) aggregated data for which no ethical approval is required.
Provenance and peer review: Not commissioned; externally peer reviewed.
References
- 1.Zhou Y, Abel GA, Hamilton W, et al. . Diagnosis of cancer as an emergency: a critical review of current evidence. Nat Rev Clin Oncol 2017;14:45–56. 10.1038/nrclinonc.2016.155 [DOI] [PubMed] [Google Scholar]
- 2.Elliss-Brookes L, McPhail S, Ives A, et al. . Routes to diagnosis for cancer - determining the patient journey using multiple routine data sets. Br J Cancer 2012;107:1220–6. 10.1038/bjc.2012.408 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.McPhail S, Elliss-Brookes L, Shelton J, et al. . Emergency presentation of cancer and short-term mortality. Br J Cancer 2013;109:2027–34. 10.1038/bjc.2013.569 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gunnarsson H, Ekholm A, Olsson LI. Emergency presentation and socioeconomic status in colon cancer. Eur J Surg Oncol 2013;39:831–6. 10.1016/j.ejso.2013.04.004 [DOI] [PubMed] [Google Scholar]
- 5.Pruitt SL, Davidson NO, Gupta S, et al. . Missed opportunities: racial and neighborhood socioeconomic disparities in emergency colorectal cancer diagnosis and surgery. BMC Cancer 2014;14:927 10.1186/1471-2407-14-927 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.National Cancer Registration and Analysis Service. Routes to Diagnosis 2006-2013 workbook (a), 2016. http://www.ncin.org.uk/view?rid=3053.
- 7.Lyratzopoulos G, Saunders CL, Abel GA. Are emergency diagnoses of cancer avoidable? A proposed taxonomy to motivate study design and support service improvement. Future Oncol 2014;10:1329–33. 10.2217/fon.14.80 [DOI] [PubMed] [Google Scholar]
- 8.Abel GA, Shelton J, Johnson S, et al. . Cancer-specific variation in emergency presentation by sex, age and deprivation across 27 common and rarer cancers. Br J Cancer 2015;112 Suppl 1(Suppl 1):S129–S136. 10.1038/bjc.2015.52 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Cancer Research UK. About be clear on cancer. 2014. http://www.cancerresearchuk.org/health-professional/early-diagnosis-activities/be-clear-on-cancer/about-be-clear-on-cancer#BCOC_about3.
- 10.National Cancer Registration and Analysis Service. Be Clear on Cancer. 2016. http://www.ncin.org.uk/cancer_type_and_topic_specific_work/topic_specific_work/be_clear_on_cancer.
- 11.Moffat J, Bentley A, Ironmonger L, et al. . The impact of national cancer awareness campaigns for bowel and lung cancer symptoms on sociodemographic inequalities in immediate key symptom awareness and GP attendances. Br J Cancer 2015;112 Suppl 1(Suppl 1):S14–S21. 10.1038/bjc.2015.31 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Communities and Local Government. The English Indices of Deprivation. London, 2010. [Google Scholar]
- 13.de Vries E, Bray FI, Eggermont AM, et al. . Monitoring stage-specific trends in melanoma incidence across Europe reveals the need for more complete information on diagnostic characteristics. Eur J Cancer Prev 2004;13:387–95. 10.1097/00008469-200410000-00006 [DOI] [PubMed] [Google Scholar]
- 14.Welch HG, Black WC. Overdiagnosis in cancer. J Natl Cancer Inst 2010;102:605–13. 10.1093/jnci/djq099 [DOI] [PubMed] [Google Scholar]
- 15.Cowling TE, Harris MJ, Watt HC, et al. . Access to general practice and visits to accident and emergency departments in England: cross-sectional analysis of a national patient survey. Br J Gen Pract 2014;64:e434–e439. 10.3399/bjgp14X680533 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Norman P. Identifying change over time in small area socio-economic deprivation. Appl Spat Anal Policy 2010;3:107–38. 10.1007/s12061-009-9036-6 [DOI] [Google Scholar]
- 17.Norman P, Boyle P, Rees P. Selective migration, health and deprivation: a longitudinal analysis. Soc Sci Med 2005;60:2755–71. 10.1016/j.socscimed.2004.11.008 [DOI] [PubMed] [Google Scholar]
- 18.Sheringham J, Asaria M, Barratt H, et al. . Are some areas more equal than others? Socioeconomic inequality in potentially avoidable emergency hospital admissions within English local authority areas. J Health Serv Res Policy 2017;22:83–90. 10.1177/1355819616679198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gartner A, Farewell D, Greene G, et al. . Does selective migration alter socioeconomic inequalities in mortality in Wales?: a record-linked total population e-cohort study. SSM Popul Health 2018;5:48–54. 10.1016/j.ssmph.2018.05.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Tsang C, Bottle A, Majeed A, et al. . Cancer diagnosed by emergency admission in England: an observational study using the general practice research database. BMC Health Serv Res 2013;13:308 10.1186/1472-6963-13-308 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Department of Health. National Cancer Patient Experience Survey Programme: National Survey Report, 2010. [Google Scholar]
- 22.National Cancer Registration and Analysis Service, 2017. Public Health England. Be Clear on Cancer Evaluation http://www.ncin.org.uk/cancer_type_and_topic_specific_work/topic_specific_work/be_clear_on_cancer/.
- 23.Power E, Wardle J. Change in public awareness of symptoms and perceived barriers to seeing a doctor following Be Clear on Cancer campaigns in England. Br J Cancer 2015;112 Suppl 1(Suppl 1):S22–S26. 10.1038/bjc.2015.32 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Public Health England National Cancer Registration & Analysis Service. Trends in Cancer Waiting Times metrics. England, 2016. 2009/10 to 2014/15. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
jech-2017-210371supp001.pdf (1.3MB, pdf)