Does emergency presentation of cancer represent poor performance in primary care? Insights from a novel analysis of linked primary and secondary care data.

BACKGROUND: People diagnosed with cancer following emergency presentation have poorer short-term survival. To what extent this signifies a missed opportunity for earlier diagnosis in primary care remains unclear as little detailed data exist on the patient/general practitioner interaction beforehand.
METHODS: Analysis of primary care and regional data for 1802 cancer patients from Northeast Scotland. Adjusted odds ratios (OR) and 95% confidence intervals (CIs) for patient and GP practice predictors of emergency presentation. Qualitative context coding of primary care interaction before emergency presentation.
RESULTS: Emergency presentations equalled 20% (n=365). Twenty-eight per cent had no relevant prior GP contact. Of those with prior GP contact 30% were admitted while waiting to be seen in secondary care, and 19% were missed opportunities for earlier diagnosis. Associated predictors: no prior GP contact (OR=3.89; CI 95% 2.14-7.09); having lung (OR=23.24; 95% CI 7.92-68.21), colorectal (OR=18.49; CI 95% 6.60-51.82) and upper GI cancer (OR=18.97; CI 95% 6.08-59.23); ethnicity (OR=2.78; CI 95% 1.27-6.06).
CONCLUSIONS: Our novel approach has revealed that emergency cancer presentation is more complex than previously thought. Patient delay, prolonged referral pathways and missed opportunities by GPs all contribute, but emergency presentation can also represent effective care. Resources should be used proportionately to raise public and GP awareness and improve post-referral pathways.

In England, a fifth of all cancers (20%) are diagnosed following emergency presentation (EP) to a general practitioner (GP) or hospital emergency department (National Cancer Intelligence Network, 2015). Studies on large clinical data sets consistently show that EP is predicted by older age, gender, socioeconomic deprivation and cancer type, more frequently brain and lung (McPhail ; Abel ; Mitchell ; National Cancer Intelligence Network, 2015) and that, following adjustment for age, stage and co-morbidity, emergency cancer patients have poorer short-term survival compared with patients diagnosed through other routes (Elliss-Brookes ; McPhail ; National Cancer Intelligence Network, 2015). Studies in Scotland have made similar findings for people with breast and colorectal cancer (McArdle and Hole, 2004; Brewster ). Previous research has reported that most patients with an emergency cancer presentation have had contact with a GP in the months or weeks beforehand (Barrett and Hamilton, 2008; Lyratzopoulus ; Mitchell ; Renzi ; Wilcock ). Similar findings have been widely described in the media, for example, in The Telegraph newspaper, ‘Tens of thousands of cancer patients visiting GP multiple times before referral' (Collins, 2013), and on the BBC website (2016) ‘Alarm symptoms missed in bowel cancer emergency patients'. EP is also reported to be more likely for patients registered at GP practices with poor quality and outcomes framework (QoF) performance, more non-UK qualified GPs, and fewer 48 h appointments, although whether the subjects in this large data set had actually been seen by a GP prior to their EP was not determined (Bottle ). These findings admit the possibility that errors and missed opportunities in primary care could be one of the root causes of patients presenting as cancer emergencies.

However, work to date on EP has been mainly based on large data sets employing routinely collected health-care data to provide a high-level overview of the patient, the disease and general practice characteristics associated with emergency cancer presentation. These data do improve the understanding of EP, but it gives relatively little insight into the nature of patient interactions with primary care in the lead up to EP, or the context and content of primary care consultations during which GP decisions are made. Recently, this has been partly addressed in an important paper by Renzi who studied EP of colorectal cancer using routine primary data from the Clinical Practice Research Datalink including information about the number of primary contacts and the associated symptom codes. This is a considerable step forward but does not enable an exploration of what has actually occurred in the interactions between patients and their GPs in the lead up to an emergency cancer presentation. It is this contextual detail that is crucial to a true understanding of the causes and implications of emergency cancer presentation. Appropriate interventions and policy initiatives to help improve EP survival can only follow from this knowledge (McPhail ; Rubin ).

We explored the role of primary care in emergency cancer presentation for people diagnosed with six common cancers in Northeast Scotland (breast, colorectal, lung, melanoma, prostate and upper gastro-intestinal (GI)). For each patient, we linked a comprehensive primary care data set to secondary care data held on NHS Grampian's secondary care Cancer Care Pathway database (CCPd), to form a uniquely detailed clinical data set. We believe this is the first study to explore EP of six common cancers using this method, and to provide important new insights into the issue of emergency cancer presentation.

Materials and methods

Patient sample size

The study formed part of an evaluation in Northeast Scotland of the impact of the Scottish Government's ‘Detect Cancer Early' (DCE) campaign and the effectiveness of the way Scottish Referral Guidelines for Suspected Cancer (SRGSC) are used. The cancers chosen were the six commonest in the region and included those in the DCE campaign (breast, colorectal and lung). We calculated a conservative sample size based on the most common (breast) and the least common (melanoma) to inform the minimum number of cases to include in our data collection samples to give enough power to estimate meaningful differences between relative cancer diagnostic pathways.

GP practice recruitment

All general practices in NHS Grampian, Orkney and Shetland (n=101) were invited to participate and 55 practices (54%) agreed. Thirty-five practices were randomly selected, stratified by list size, location and deprivation (Scottish Government, 2012). Using the NHS Grampian CCPd, 2500 patients with one of the six common cancers, and registered at the selected 35 practices, were randomly selected for a detailed case-note review. Thirty-one practices were actually visited between October 2013 and January 2015, and 2102 case-notes were reviewed of patients diagnosed with cancer from 2007 to 2013. Four practices could not accommodate a visit from the study researcher within the allowed timescale.

Data collection

Detailed data from primary care electronic records

Using a predefined data extraction form, for all cases where available, the date of each sequential event leading to diagnosis was recorded, that is, symptom onset; presentation; referral/admission; hospital appointment; diagnosis and treatment. Date of death was recorded where appropriate. Details were also collected on sociodemographic and lifestyle characteristics; route to diagnosis; symptoms and outcomes; relevant investigations before referral; co-morbidities; current prescriptions; treatment type; stage at diagnosis and number of relevant consultations before the referral that led to diagnosis.

Regional data

The NHS Grampian CCPd was used to provide data on secondary care appointments, investigations and treatment received for all people diagnosed with cancer in Northeast Scotland whatever their route to referral.

Data management

Primary care records were collected using Microsoft Access, and the NHS Grampian CCPd data were available in Microsoft Excel. Both files were exported into SPSS version 23.0 and linked using the patients' Community Health Index (CHI) number (NHS National Services Scotland, 2016). CHI numbers were then removed leaving a unified anonymous file for analysis.

Data analysis

Patients whose cancer was diagnosed through breast or bowel screening were excluded from analysis.

For each patient, all primary care presentations in the 24 months prior to the referral or admission that led to diagnosis were read in their entirety. Each relevant consultation was then examined to ascertain whether GPs had appropriately followed referral advice given in the Scottish Referral Guidelines for Suspected Cancer (SRGSC; Scottish Executive Health Department, 2009). ‘Relevant' consultations were those that included any clinical signs and symptoms in the SRGSC that recommended investigation (e.g., a chest X-ray) or an urgent suspected cancer (USC) referral. To identify those that were emergency admissions, cases were categorised by route to diagnosis and then divided into non-EP and EP.

EP was defined as:

A presentation to primary care (including out of hours care) resulting in a same day emergency hospital admission and a subsequent cancer diagnosis. or

A presentation directly to an accident and emergency (A&E) department which resulted in a cancer diagnosis.

All other routes to diagnosis were classed as non-EPs.

Patient and practice predictors of EP

Univariate logistic regression analysis was performed for each characteristic with outcome (EP) to obtain unadjusted odds ratios. Any independent predictor from the univariate analysis found to be significant at the conservative P⩽0.10 level (to avoid exclusion of borderline significant predictors) was included in the multivariate regression model.

Descriptive exploration of interaction with primary care before EP

A coding framework, to explore the interaction with primary care before EP, was devised by PM and agreed with SMS (the researcher who collected the data) (Box 1). Account was taken of any related referrals and/or linked investigations prior to EP, as well as the effect of consulting behaviour on EP. Each EP was then coded by SMS to reflect this exploration. A 10% quality assurance check was conducted by two clinical authors, PM and RA, who independently confirmed that SMS was applying the coding framework consistently.

Ethics

Anonymised data were collected for this study as part of the ‘Detect Cancer Early' project, an NHS Grampian service improvement exercise. The study was reviewed by the Caldicott Guardian for NHS Grampian and approved by the North of Scotland Research Ethics Committee, who confirmed that the project was a service evaluation and that there was no requirement to contact individual patients prior to review of their medical records.

Results

GP practice characteristics

Table 1 shows that the randomly selected group of participating GP practices contained an even spread of small, medium and large practices; a greater female to male GP ratio (n=20, 65%); and more urban practices and fewer deprived practices, which is reflective of the general practice make-up of Northeast Scotland. In comparison, non-participating practices were mainly rural with small list sizes and a more even spread of male and female GPs, and, as in participating practices, had fewer deprived patients.

Table 1

GP practice characteristics

Characteristics	Participating practices (N=31), N (%)	Non-participating practices (N=46), N (%)
Practice list size
Small (⩽5000)	10 (32)	25 (54)
Medium (5001–10 000)	11 (36)	17 (37)
Large (⩾10001)	10 (32)	4 (9)
Practice SIMDa deprivation quintiles
1 Most deprived	2 (7)	0 (0)
2	2 (7)	8 (17)
3	9 (29)	16 (35)
4	9 (29)	11 (24)
5 Least deprived	9 (29)	11 (24)
Urban rural (six-fold)
Large urban	12 (38)	9 (20)
Other urban	4 (13)	3 (6)
Accessible small towns	1 (3)	4 (9)
Rural small towns	5 (16)	4 (9)
Accessible rural	2 (7)	9 (20)
Remote rural	7 (23)	17 (37)
Number of male/female GPs per practice
Male preponderance	5 (16)	17 (37)
Equal number of both sexes	6 (19)	14 (30)
Female preponderance	20 (65)	15 (32)

Abbreviation: GP=general practitioner.

SIMD=Scottish Index of Multiple Deprivation is a relative measure of deprivation.

Included cases

Of the 2102 case notes reviewed, 300 patients whose cancer was diagnosed as a result of breast or bowel screening were excluded, leaving 1802 records in the EP analysis.

Route to diagnosis

Taking all six cancers together, the commonest route to diagnosis was through GP USC or urgent referral (n=1031, 58%); non-urgent referrals and other routes accounted for 22% (n=406). EP occurred in 20% of cases (n=365; Table 2). Colorectal, lung and upper GI cancers were the cancer types predominantly diagnosed through this route, compared with breast, prostate and melanoma and non-EPs (Table 2).

Table 2

Route to diagnosis by cancer type diagnosed between 2007 and 2013

	Route to diagnosis (N=1802)
	Non-emergency presentation (N=1437)				Emergency presentation (N=365)
Cancer type	GP USCa	GP urgentb	GP routinec	Otherd	GP/A&E)
	N (%)	N (%)	N (%)	N (%)	N (%)
Breast	180 (44)	118 (29)	68 (17)	26 (6)	16 (4)
Colorectal	108 (27)	92 (23)	65 (16)	15 (4)	122 (30)
Lung	105 (29)	65 (18)	23 (6)	30 (8)	145 (39)
Melanoma	32 (39)	31 (37)	11 (13)	7 (8)	2 (2)
Prostate	118 (33)	80 (23)	111 (31)	24 (7)	21 (6)
Upper GI	46 (25)	56 (30)	17 (9)	9 (5)	59 (32)
	589 (33)	442 (25)	295 (16)	111 (6)	365 (20)

Abbreviation: GP=general practitioner.

GP USC=GP urgent suspected cancer referral—patient to be seen within 2 weeks.

GP urgent=GP urgent referral—seen at discretion of the hospital department.

GP routine=non-emergency.

Other=diagnosed in secondary care setting.

Sociodemographic characteristics of emergency and non-emergency patients

In contrast with non-emergency patients, patients presenting as emergencies tended to be older, with more current smokers and fewer never-smokers, slightly more deprived and with more patients of non-white ethnicity. These data are shown in Table 3, which also includes the demographics of patients within key EP subcategories.

Table 3

Patient and general practitioner (GP) sociodemographic characteristics non-emergency and emergency presentations with associated emergency presentation (EP) subroutes

			EP subroutes
Characteristics	Non-emergency presentation, N (%)	Emergency presentation, N (%)	No prior primary care contact before EP, N (%)	EP occurred within an appropriate episode of care, N (%)	EP occurred while waiting for a relevant secondary care appointment, N (%)	EP occurred following a missed opportunity for earlier diagnosis, N (%)
Age	N=1437	N=365	N=94	N=115	N=78	N=50
<40	38 (2.6)	3 (<1)	0 (0)	1 (0.9)	2 (2.6)	0 (0)
40–49	113 (7.9)	12 (3.3)	3 (3.2)	3 (2.6)	3 (3.8)	2 (4.0)
50–59	203 (14.1)	45 (12.3)	12 (12.8)	13 (11.3)	9 (11.5)	4 (8.0)
60–69	384 (26.7)	88 (24.1)	23 (24.5)	32 (27.8)	16 (20.5)	12 (24.0)
70–80	456 (31.7)	126 (34.5)	31 (33.0)	35 (30.4)	28 (35.9)	25 (50.0)
>80	243 (16.9)	91 (24.9)	24 (26.6)	31 (27.0)	20 (25.6)	7 (14.0)
Gender	N=1437	N=365	N=94	N=115	N=78	N=50
Male	728 (50.7)	193 (52.9)	61 (64.9)	64 (55.7)	37 (47.4)	15 (30.0)
Female	709 (49.3)	172 (47.1)	33 (35.1)	51 (44.3)	41 (52.6)	35 (70.0)
Deprivation	N=1437	N=365	N=94	N= 115	N=78	N=50
1 Most deprived	100 (7.0)	34 (9.3)	9 (9.6)	9 (7.8)	11 (14.1)	3 (6.0)
2	178 (12.4)	60 (16.4)	21 (22.3)	14 (12.2)	14 (17.9)	5 (10.0)
3	275 (19.1)	78 (21.4)	21 (22.3)	25 (21.7)	7 (9.0)	15 (30.0)
4	399 (27.8)	99 (27.1)	22 (23.4)	29 (25.2)	25 (32.1)	17 (34.0)
5 Least deprived	485 (33.8)	94 (25.8)	21 (22.3)	38 (33.0)	21 (26.9)	10 (20.0)
Rurality sixfold	N=1437	N=365	N=94	N=115	N=78	N=50
1 Large urban	595 (41.4)	154 (42.2)	44 (46.8)	41 (35.7)	41 (52.6)	16 (32.0)
2	204 (14.2)	63 (17.3)	12 (12.8)	22 (19.1)	12 (15.4)	13 (26.0)
3	115 (8.0)	32 (8.7)	6 (6.4)	15 (13.0)	4 (5.1)	6 (12.0)
4	200 (13.9)	38 (10.4)	13 (13.8)	12 (10.4)	4 (5.1)	7 (14.0)
5	161 (11.2)	39 (10.7)	7 (7.4)	11 (9.6)	15 (19.2)	3 (6.0)
6 Remote rural	162 (11.3)	39 (10.7)	12 (12.8)	14 (12.2)	2 (2.6)	5 (10.0)
Smoking status	N=1428	N=363	N=94	N=113	N=78	N=50
Current smoker	351 (24.6)	128 (35.3)	31 (33.0)	38 (33.6)	30 (38.5)	18 (36.0)
Ex-smoker	557 (39.0)	144 (39.7)	42 (44.7)	49 (43.4)	23 (29.5)	23 (46.0)
Never smoked	520 (36.4)	91 (25.1)	21 (22.3)	26 (23.0)	25 (32.1)	9 (18.0)
Ethnicity	N=617	N=149	N=33	N=49	N=41	N=19
White	583 (94.5)	133 (89.3)	29 (87.9)	43 (87.8)	37 (90.2)	17 (89.5)
Other ethnic background	34 (5.5)	16 (10.7)	4 (12.1)	6 (12.2)	4 (9.8)	2 (10.5)
GP list size	N=1437	N=365	N=101	N=115	N=78	N=50
Small	172 (12.0)	39 (10.7)	16 (15.8)	14 (12.2)	3 (3.8)	3 (6.0)
Medium	468 (32.5)	132 (36.2)	44 (43.6)	28 (24.3)	31 (39.7)	20 (40,0)
Large	797 (55.5)	194 (53.1)	41 (40.6)	73 (63.5)	44 (56.4)	27 (54.0)
GP male : female ratio	N=1437	N=365	N=101	N=115	N=78	N=50
Equal	237 (16.5)	60 (16.4)	17 (16.8)	25 (21.7)	8 (10.3)	8 (16.0)
Male preponderance	285 (19.8)	57 (15.6)	14 (13.9)	24 (20.9)	10 (12.8)	8 (16.0)
Female preponderance	915 (63.7)	248 (67.9)	70 (69.3)	66 (57.4)	60 (76.9)	34 (68.0)
GP deprivation	N=1437	N=365	N=101	N=115	N=78	N=50
1 Most deprived	95 (6.6)	31 (8.5)	6 (5.9)	14 (2.2)	7 (9.0)	3 (6.0)
2	68 (4.7)	22 (6.0)	8 (7.9)	4 (3.5)	5 (6.4)	5 (10.0)
3	586 (40.8)	131 (35.9)	45 (44.6)	35 (30.4)	27 (34.6)	18 (36.0)
4	347 (24.0)	84 (23.0)	19 (18.8)	32 (27.8)	15 (19.2)	13 (26.0)
5 Least deprived	341 (23.7)	97 (26.6)	23 (22.8)	30 (26.1)	24 (30.8)	11 (22.0)
GP rurality two-fold	N=1437	N=365	N=101	N=115	N=78	N=50
1 Urban	959 (66.7)	254 (70.0)	68 (67.3)	74 (64.3)	65 (83.3)	32 (64.0)
2 Rural	478 (33.3)	111 (30.1)	33 (32.7)	41 (35.7)	13 (16.7)	18 (36.0)

Predictors of EP compared with all presentations

The detailed results of unadjusted analysis including OR and 95% confidence intervals (Cis) are shown in Table 4. In summary, there was significantly increased odds of EP for those of older age (70–80 years, and >80 years) compared with the reference group of <40 years. In comparison with being in the least deprived category than those in categories 3, 2 or 1 (most deprived) also showed increased odds of EP, with an increasing trend as deprivation worsened. Smoking, either as a current or ex-smoker, showed increased odds of EP relative to never smokers, and an increased number of co-morbidities showed increased odds of EP relative to no co-morbidity.

Table 4

Predictors of emergency presentation

Factor	All presentations, N	Non-emergency presentation, N (%)	Emergency presentation, N (%)	Unadjusted odds ratio (95% CIs)	Adjusted odds ratioa (95% CI)
Age	N=1802	N=1437	N=365
<40	41	38 (92.7)	3 (7.3)	Reference	Reference
40–49	125	113 (90.4)	12 (9.6)	1.35 (0.36–5.02)	0.78 (0.14–4.34)
50–59	248	203 (81.9)	45 (18.1)	2.81 (0.83–9.50)	0.72 (0.15–3.39)
60–69	472	384 (81.4)	88 (18.6)	2.90 (0.88–9.62)	0.58 (0.13–2.61)
70–80	582	456 (78.4)	126 (21.6)	3.50 (1.06–11.53)	0.71 (0.16–3.20)
>80	334	243 (72.8)	91 (27.2)	4.47 (1.43–15.75)	1.22 (0.26–5.66)
Gender	N=1802	N=1437	N=365
Male	921	728 (79.0)	193 (21.0)	Reference
Female	881	709 (80.5)	172 (19.5)	0.92 (0.73–1.15)
Deprivation	N=1802	N=1437	N=365
1 Most deprived	134	100 (74.6)	34 (25.4)	1.75 (1.21–2.74)	1.29 (0.55–3.01)
2	238	178 (74.8)	60 (25.2)	1.74 (1.21–2.51)	1.37 (0.71–2.65)
3	353	275 (77.9)	78 (22.1)	1.46 (1.05–2.05)	1.46 (0.75–2.81)
4	498	399 (80.1)	99 (19.9)	1.28 (0.94–1.75)	1.09 (0.59–2.01)
5 Least deprived	579	485 (83.8)	94 (16.2)	Reference
Rurality twofold	N=1802	N=1437	N=365
1 Urban	1401	1114 (79.5)	287 (20.5)	Reference
2 Rural	401	323 (80.5)	78 (19.5)	0.94 (0.71–1.24)
Cancer type	N=1802	N=1437	N=365
Breast	408	392 (96.1)	16 (3.9)	Reference	Reference
Colorectal	402	280 (69.7)	122 (30.3)	10.68 (6.20–18.38)	18.49 (6.60–51.82)
Lung	368	223 (60.6)	145 (39.4)	15.93 (9.27–27.39)	23.24 (7.92–68.21)
Melanoma	83	81 (97.6)	2 (2.4)	0.61 (0.14–2.68)	1.04 (0.11–9.63)
Upper gastrointestinal	187	128 (68.4)	59 (31.6)	11.29 (6.28–20.32)	18.97 (6.08–59.23)
Prostate	354	333 (94.1)	21 (5.9)	1.55 (0.79–3.01)	1.55 (0.44–5.50)
Smoking status	N=1791	N=1428	N=363
Current smoker	479	351 (73.3)	128 (26.7)	2.08 (1.52–2.82)	0.99 (0.53–1.84)
Ex-smoker	701	557 (79.5)	144 (20.5)	1.48 (1.11–1.97)	0.69 (0.39–1.21)
Never smoked	611	520 (85.1)	91 (14.9)	Reference
Ethnicity	N=766	N=617	N=149
White	716	583 (81.4)	133 (18.6)	Reference	Reference
Other ethinic origin	50	34 (68.0)	16 (32.0)	2.06 (1.11–3.85)	2.78 (1.27–6.06)
Co-morbidities	N=1802	N=1437	N=365
No co-morbidities	965	808 (83.7)	157 (16.3)	Reference
1–2 co-morbidities	645	492 (76.3)	153 (23.7)	1.60 (1.25–2.05)	0.87 (0.53–1.41)
3 or more co-morbidities	192	137 (71.4)	55 (28.6)	2.07 (1.45–2.95)	0.72 (0.35–1.47)
Prior primary care contact	N=1798	N=1437	N=361
Yes	1605	1345 (83.8)	260 (16.2)	REFERENCE
No	193	92 (47.7)	101 (52.3)	5.68 (4.16–7.76)	3.89 (2.14–7.09)
GP list size	N=1802	N=1437	N=365
Small	211	172 (81.5)	39 (18.5)	Reference
Medium	600	468 (78.0)	132 (22.0)	1.244 (0.84–1.85)
Large	991	797 (80.4)	194 (19.6)	1.07 (0.73–1.57)
GP male : female ratio	N=1802	N=1437	N=365
Equal	297	237 (79.8)	60 (20.2)	Reference
Male preponderance	342	285 (83.3)	57 (16.7)	0.79 (0.53–1.18)
Female preponderance	1163	915 (78.7)	248 (21.3)	1.07 (0.78–1.47)
GP deprivation	N=1802	N=1437	N=365
1 Most deprived	126	95 (75.4)	31 (24.6)	1.15 (0.72–1.82)
2	90	68 (75.6)	22 (24.4)	1.14 (0.67–1.93)
3	717	586 (81.7)	131 (18.3)	0.79 (0.59–1.10)
4	431	347 (80.5)	84 (19.5)	0.85 (0.61–1.18)
5 Least deprived	438	341 (77.9)	97 (22.1)	Reference
GP rurality twofold	N=1802	N=1437	N=365
1 Urban	1213	959 (79.1)	254 (20.9)	Reference
2 Rural	589	478 (81.2)	111 (18.8)	0.88 (0.68–1.12)

Abbreviation: GP=general practioner.

Adjusted odds ratios for all other variables in model: age group, deprivation, smoking, ethnicity, co-morbidities, prior primary care contact.

In the adjusted model, the strongest significant predictor of EP was having no prior primary care contact (OR=3.89; CI 2.14 to 7.09). Other predictors that remained significant after adjustment were cancer type; specifically lung (OR=23.24; CI 7.91–68.21), colorectal (OR=18.49; CI 6.60–51.82) or upper GI cancer (OR=18.97; CI 6.08–59.23) with the reference case being breast cancer. Also significant was non-white ethnicity (OR=2.78; CI 1.27–6.06; Table 4).

Descriptive analysis of exploration of interaction with primary care before EP

Figure 1 illustrates how our detailed exploration of interaction with primary care before EP resulted in 360 patients being assigned a primary code most relevant to their EP (we were unable to apply a code to five EP patients due to lack of content in consultations prior to their EP). Proportionally this showed that most EP patients (72%, n=259) had seen a GP in the lead-up to their EP. Of those seeing a GP in the lead-up to their EP 44% (n=115) were admitted to hospital within an appropriate episode of care. A further 30% (n=78) of patients had been appropriately referred to secondary care but were admitted as emergencies in the interim between their referral and their appointment date or before an appointment date was received. Three per cent (n=7) had defaulted a recommended follow-up GP appointment prior to EP. Similarly, seven patients (3%) either refused or were reluctant for a secondary care investigation prior to their EP. Less than 1% had seen their GP before their EP to A&E. There appeared however to be a genuine missed opportunity for possible earlier diagnosis in 19% (n=50) of emergency admissions. Table 5 describes in detail the context in which each EP in the sample occurred. For each of the eight EP contexts (detailed in Box 1), we describe the overall proportion of EPs occurring within each context, with a further subdivision to describe EP contexts by cancer site. The type of primary care interaction before the EP differs by cancer site, with breast and melanoma most likely to present direct to primary care (without prior interaction). There were nearly 20% of lung and upper GI where the EP followed a missed opportunity. Table 5 also includes the median (interquartile range) in days from first presentation to the EP that led to hospital admission and diagnosis.

Figure 1

Interaction with primary care before ECP. *Unable to code five patients due to lack of content in consultations prior to their EP. **Relevant consultaions=those that included any clinical signs and symptoms in the Scottish Referral Guidelines for Suspected Cancer that recommended investigation/referral. ***Scottish Government (2014).

Table 5

Interaction with primary care by cancer type before emergency cancer presentation to a GP or hospial emergency department and median (IQR) days from first presentation to EP

		Cancer type, N (%)
		Breast	Colorectal	Lung	Melanoma	Prostate	Upper GI	Total
Interaction with primary care before emergency presentation (EP)
All EPs	N (% of all EPs)	16 (4)	121 (34)	145 (40)	2 (1)	21 (6)	55 (15)	360 (100)
No primary care interaction before EP
EP to primary care	N (% within cancer)	11 (69)	31 (26)	33 (23)	2 (100)	7 (33)	10 (18)	94 (26)
EP to a hospial emergency department	N (% with cancer)	1 (6)	2 (2)	3 (2)	0 (0)	1 (5)	0 (0)	7 (2)
Primary care interaction before EP
EP occurred within an appropriate episode of care	N (% with cancer) Median (IQR) days	2 (13) 5.50 (5.0, 5.5)	41 (34) 8.0 (2.0, 19.0)	46 (32) 13.50 (8.0, 26.25)	0 (0) —	9 (43) 6 (4.5, 25.0)	17 (31) 20.0 (8.5,51.50)	115 (32) —
EP occurred while awaiting a relevant secondary care appointment	N (% with cancer) Median (IQR) days	2 (13) 2.50 (1.0, 2.5)	28 (23) 13.5 (2.0, 46.25)	30 (21) 27.0 (9.75, 47.75)	0 (0) —	1 (5) 17.0 (17.0, 17.0)	17 (31) 11.0 (1.0, 60.5)	78 (22) —
EP occurred following a missed opportunity for earlier investigation (includes one EP to A&E)	N (% with cancer) Median (IQR) days	0 (0) —	13 (11) 48.0 (24.5, 132.0)	27 (19) 80.0 (43.0,140.0)	0 (0) —	0 (0) —	10 (18) 84.5 (31.25,122.25)	50 (14) —
EP followed non-attendance of follow-up appointment/long periods between relevant consultations	N (% with cancer) Median (IQR) days	0 (0) —	4 (3) 65.50 (65.50–80.25)	2 (1) 111.50 (74.0,11.50)	0 (0) —	1 (5) 93 (93.0,93.0)	0 (0) —	7 (2) —
EP followed patient reluctance/refusal for secondary care investigation	N (% with cancer) Median (IQR) days	0 (0) —	2 (2) 121 (45.0,121)	2 (1) 60 (35,60)	0 (0) —	2 (10) 123 (88.0,123.0)	1 (2) 41 (41.0,41.0)	7 (2)
EP to a hospital emergency department following previous relevant primary care contact	N (% with cancer) Median (IQR) days	0 (0) —	0 (0) —	2 (1) 110.5 (38.0, 110.50)	0 (0) —	0 (0) —	0 (0) —	2 (<1) —

Abbreviations: GP=general practitioner; EP=emergency presentation; IQR=interquartile range.

Genuine missed opportunities for possible earlier diagnosis

Fifty patients (10 with upper-GI cancer; 13 with colorectal cancer; and 27 with lung cancer) who went on to present as an emergency had primary care diagnostic pathways that fell out-with standards set in Scottish urgent-suspected-cancer guidelines (SRGSC) (Table 6). In 50% of cases (n= 25) this was because red flag symptoms (e.g., anaemia, altered bowel habit) were recorded in the primary care case notes but had not prompted a corresponding urgent referral. In a further 22 patients (44%) symptoms recorded in GP records (e.g., persistent cough or dyspnoea) suggested an urgent chest X-ray could have been arranged earlier. For two patients (4%) administrative errors had occurred: for one an investigation for referral appears not to have been sent from the practice, and for another an appointment for follow-up in secondary care did not appear to have been arranged.

Table 6

Missed opportunity for possible earlier diagnosis by cancer type and number of GP appointments before emergency presentation

	Cancer site
GP contact before EP	Colorectal	Lung	Upper GI	Total, n (%)
GP twice	3	1	1	5 (10)
GP 4 times	0	1	0	1 (2)
GP 5 times	1	5	2	8 (16)
GP 6 or more times	9	20	7	36 (72)
Total	13	27	10	50 (100)

Abbreviations: EP=emergency presentation; GP=general practitioner; GP=emergency presentation.

EP patients were more likely to have three or more GP consultations compared with non-EP patients (Figure 2) with those in the ‘missed opportunities' category presenting repeatedly to primary care with relevant symptoms, 72% (n=36/50) had six or more consultations. These are shown in Table 6, which suggests that earlier referral or investigation in these colorectal and upper GI cancer and lung cancers is achievable. Based on our context coding, we also looked at time in days from first presentation in primary care with relevant symptoms until the EP to primary care that led to admission and diagnosis. This showed that those in this category tended to have the longest median time period before diagnosis (Table 5).

Figure 2

Number of GP appointments before the referral or admission that led to diagnosis.

Discussion

Main findings

In total, 365 (20%) of patients in our sample had their cancer diagnosed following an EP. The majority of these EPs could not have been averted by prior primary care contact; indeed, not having seen a GP (n=103, 28%) was by far the most powerful predictor of EP in our adjusted analysis. Qualitative context coding showed that 72% of patients (n=259) did present to their GP in the lead up to their EP. Of these patients presenting in primary care beforehand, 44% (n=115) had appropriate care that met current guidelines for investigation and diagnosis of cancer. Nevertheless, we have shown that a small but significant proportion of emergency cancer diagnoses with prior GP contact present while awaiting secondary care intervention (n=78, 30%) or represent genuine, missed opportunities (n=50, 19%) for earlier referral within primary care.

Strengths and limitations

Previous studies have been able to assess trends and associations with respect to emergency cancer presentations and primary care interaction. To the best of our knowledge, this is the first study to use the approach of modelling predictors of EP of cancer while adjusting for actual prior primary care contact and also being able to interpret our model in the context of rich patient level data from individual cases. The study was based on a relatively large random sample comprising patients with six common cancers. One non-clinically trained researcher adhered strictly to referral criteria in Scottish Guidelines to apply context codes that minimised bias favouring GPs. Finally, the demographic characteristics of our sample, and the proportion of cancers diagnosed as an emergency, are similar to those reported within large national data sets providing reassurance that the sample is representative and the results meaningful for the wider UK.

Some limitations are acknowledged. The data are drawn from just one Scottish region; however, the population of Grampian is geographically and economically diverse reflecting the wider UK. Although, for the first time, we describe four broad categories of EP, our sample was not sufficiently large to explore differences between these groups, but data-pooling with other regions could enable this in future. For some cancers, especially melanoma and upper GI cancer, our sample comprises relatively fewer cases, but this would similarly challenge any study of this kind. It will be prudent to pool our data on these less common cancers with future samples to fully investigate their relationships to EPs.

Comparison with existing literature

Our proportion of EPs corresponded to previous reports (Bottle ; Tsang ; Abel ; National Cancer Intelligence Network, 2015; Renzi ). When we explored the impact of previous contact with primary care prior to EP in our multivariate model, it proved to be much the strongest predictor of EP, which mirrors the findings of a US study of 20 000 people diagnosed with lung or colorectal cancer, where EP was significantly less likely for those seen in primary care (Sikka and Ornato, 2012). Being of an ethnicity other than white was similarly noted as a risk factor for EP in colorectal cancer by Wallace in their large study of over 90 000 patients. Our finding that patients with colorectal, lung and upper GI cancer were significantly more likely to present as an emergency, compared with breast, melanoma or prostate cancer, was expected based on previous analyses of large, national data sets (Baughan ; Elliss-Brookes ; National Cancer Intelligence Network, 2015; Abel ), and demonstrated that our sample for in-depth analysis of diagnostic context was representative. The aetiology and symptom expression of some cancers can mean that some may be easier (e.g., breast, melanoma, testicular, bladder) or harder (e.g., lung and stomach) to suspect (Lyratzopoulos ). We explored this notion (Figure 1 and Table 2) and found support for it in the notably lower proportion of melanomas, breast and prostate cancers presenting as EPs.

Visiting a GP three or more times before referral is often considered to reflect an avoidable delay (Lyratzopoulos ); however, previous studies have made this assumption without access to primary care case records. We have shown that those who appeared to have genuine, missed opportunities for earlier diagnosis in primary care (colorectal, lung and upper GI patients) frequently had six or more appointments before their EP. We also found that this group tended to have the longest median time period before the EP that led to diagnosis. Our findings support the case for future initiatives to promote earlier suspicion of cancer in primary care.

In Mitchell reported a significant event analysis of practices in Northeast England and Southeast London only 3.6% of EPs had no contact with a GP in the year preceding their emergency cancer presentation. Although the authors acknowledge that many emergency cancer presentations are complex, we believe that our methods enabled a more objective sample than in this study, which allowed GPs to select those cases which would be studied. Consequently, we suggest that our finding that 28% of patients had no relevant prior primary contact, may be a more representative figure. We do, however, agree that a greater understanding of complex presentations and potential future practice-level interventions have traction, but only as one part of a proportionate response to emergency cancer presentation.

In an observational study on ovarian cancer using primary care records Tate found that free text records, as distinct from coded records, contain important information on the severity of symptoms or on additional symptoms that have not been coded. Similarly, Ford when identifying patients with rheumatoid arthritis reported that diagnostic suspicions are frequently confined to text and that the use of electronic health records to create disease registers or assess quality of care will be misleading if free text information is not taken into consideration. This provides further justification for exploring the fine detail of primary care contact prior to EP.

Increased GP direct access to investigations has been implemented to some extent across the UK (NICE, 2015; Scottish Clinical Imaging Network, 2015). Also in both Scotland and England new referral guidelines with reduced thresholds have been published (Scottish Government, 2014; NICE, 2015). It seems likely that these initiatives may be contributing to apparent reductions in EP of cancer and we would support that these initiatives should continue to be promoted and implemented (National Cancer Intelligence Network, 2015).

Implications for policy and practice

EP is complex and does not have a single cause, and in some cases may be the most appropriate route to diagnosis. Our unique high definition analysis has revealed four broad categories of emergency cancer presentations. We recommend that research and health-care resource should be used proportionately across all four groups to identify the causes and, where necessary, deliver solutions.

First, there are patients who do not interact with GPs at all before they present as emergencies with features of their cancer. In this study 28% of EPs had no prior primary care contact. A study by the International Cancer Benchmarking Partnership (ICBP) found that people over 50 years of age in the UK compared with other high-income countries had lower awareness that the risk of cancer increases with age, and had more perceived barriers to symptomatic presentation (e.g., worrying about wasting the doctor's time, embarrassment and fear of what the GP might find; Forbes ). Not recognising the seriousness of symptoms doubled the risk of delayed diagnosis and is likely to contribute to late stage at diagnosis and the poorer cancer survival rates in the UK compared with other similarly developed countries. Common symptoms associated with delay included urinary difficulties, change of bowel habit, systemic symptoms (fatigue, weight loss and loss of appetite) and skin symptoms (Forbes ). In light of this new information educational and awareness raising strategies about the benefits of early presentation with potential cancer features, such as the ‘Be Clear on Cancer' campaign in England (Cancer Research UK (CRUK), 2016a) and ‘Detect Cancer Early' in Scotland (Scottish Government, 2015), to raise public awareness of cancer symptoms are likely to have the most traction here, with benefits likely to be maximised by focusing on high-risk populations over 50 years, particular cancers and under-recognised symptoms.

Second, genuine missed opportunities for earlier diagnosis within primary care seemed to be rooted in non-adherence to referral guidelines by GPs, or where GPs had not recognised the significance of the content of previous consultations, for example, repeated consultations with the same symptom. In this study 19% of EPs with prior GP contact appeared to represent genuine missed opportunities for earlier diagnosis in primary care. The ICBP survey data have also provided some insight into why this may be. It found that UK primary care physicians showed the lowest readiness to refer or investigate a patient's symptoms at the first opportunity; this correlated with low cancer survival rates. UK primary care physicians also felt stronger about their role in protecting patients from too many tests, and in preventing specialists from being overloaded (CRUK, 2016b).

In their work on understanding missed opportunities for a more timely diagnosis, Lyratzopoulos call for more multi-disciplinary work targeting factors in three phases of the diagnostic process where missed opportunities may occur and offer a conceptual foundation that builds on current approaches for the development of future interventions. CRUK's Facilitator programme that aims to support health-care professionals and relevant organisations to improve early cancer diagnosis is also likely to be of benefit here (CRUK, 2016c).

Third, there are those patients whose EP occurred in the interval between GP referral and being seen in secondary care, which occurred in 30% of the cases of EP with prior GP contact included in this study. For some this was within days of referral, but for others it occurred during a longer wait where patients' condition deteriorated while waiting to be seen in hospital. This may be partly due to secondary care system delays as, compared with other countries, UK GPs waited longer for results of tests such as CT and ultrasound scans (CRUK, 2016c). This suggests that there is scope for improvement in the system surrounding, and supporting, UK GPs in diagnosing cancer early. Existing initiatives, such as those described above, i.e., increasing direct GP access to investigations and lowering referral thresholds are again likely to be beneficial here especially for lung, colorectal and upper GI cancers, with some evidence that such approaches are already permitting gains in England (National Cancer Intelligence Network, 2015; NICE, 2015). In Scotland, the Scottish Government (2016) is committed to continuing the DCE awareness campaigns and providing support for earlier diagnosis through national screening programmes with a focus on hard-to-reach groups, and, driven by the findings of the ICBP, are providing greater investment to support swifter access to diagnostics for individuals with unidentified malignancies.

Fourth, and perhaps most complex of all, according to our context coding we classified about one-third of EPs as being within an appropriate episode of care. In this study 44% of EPs appeared to occur within appropriate episodes of care. This is a diverse group of patients. For some it is likely that aspects of patient and system delays contributed. However, in other cases the clinical care would have appeared to represent the best possible route to diagnosis for individual patients.

Conclusion

Our analysis reveals that EP of cancer is complex and our novel approach has afforded new insights. GPs can be to blame, but not as often as supposed, and patient delay and sluggish referral pathways may also contribute. All should be tackled proportionately. However, sometimes EP affords individual patients the best chance of rapid treatment and cure and does not always represent failure. We suggest a proportionate and forward-looking program of emergency cancer presentation research and policy.