The National Awareness and Early Diagnosis Initiative in England: assembling the evidence

How frequently do young people with potential cancer symptoms present in primary care?

BACKGROUND

Although uncommon in teenagers and young adults, cancer is the leading cause of non-accidental death in those aged 15-24 years. A prolonged period to cancer diagnosis in this cohort is reported and thought to be a consequence of the rarity of cancer in this age group, together with the complexity of presenting symptoms. Although diagnostic delay is perceived to be a problem for teenagers and young adults with cancer, little research has focused on their use of primary care services.

AIM

To determine how often teenagers and young adults consult, their reasons for doing so, and how often potential oncological symptoms ('alert' symptoms) appear.

DESIGN AND SETTING

Retrospective audit of consultations over 1 year. Three general medical practices in Scotland.

METHOD

Medical records were examined for 2326 teenagers and young adults. Date of birth, sex, and free-text relating to the consultation were recorded and coded according to an agreed coding system; symptoms of potential oncological significance were coded as alert symptoms.

RESULTS

A total of 1659 teenagers and young adults (71.3% of registered patients) attended their GP at least once. Females attended more frequently than males (P < 0.001), and older females more frequently than younger females (P < 0.001). Males exhibited no association between consultation frequency and age. The main reasons for consultation were pregnancy/contraception (15.8%) and infection (15.7%). Alert symptoms were uncommon, (reported in 4.0% of all consultations; 276 alert symptoms in 179 patients), and were not associated with age or sex. The most common alert symptoms were unexplained pain (34.8%), unexplained fatigue (14.5%), and lumps (13.4%). Two benign tumours were detected.

CONCLUSION

A high proportion of teenagers and young adults consult their GP. Alert symptoms are uncommon and generally occur in isolation. More research is required to confirm these findings in a larger cohort and to examine how GPs respond to such alert symptoms.

Cancer information and anxiety: applying the extended parallel process model

There is concern that public education about testicular cancer (TC) may cause unnecessary anxiety. Psychological theory suggests that if threat (eg, TC) information is accompanied with threat control strategies (eg, testicular self-examination; TSE) anxiety is less likely. Male students (N=443) were randomized to either a TC or TC +TSE information group or a no information control group, and assessed at three time points. Anxiety levels did not differ between the groups and exposure to TC+TSE resulted in greater perceived message benefit, increased intention to self-examine and lower message denigration. This suggests TC information is not anxiogenic, but inclusion of TSE information may improve acceptance of disease awareness information.

A telephone survey of cancer awareness among frontline staff: informing training needs

Background:

Studies have shown limited awareness about cancer risk factors among hospital-based staff. Less is known about general cancer awareness among community frontline National Health Service and social care staff.

Methods:

A cross-sectional computer-assisted telephone survey of 4664 frontline community-based health and social care staff in North West England.

Results:

A total of 671 out of 4664 (14.4%) potentially eligible subjects agreed to take part. Over 92% of staff recognised most warning signs, except an unexplained pain (88.8%, n=596), cough or hoarseness (86.9%, n=583) and a sore that does not heal (77.3%, n=519). The bowel cancer-screening programme was recognised by 61.8% (n=415) of staff. Most staff agreed that smoking and passive smoking ‘increased the chance of getting cancer.’ Fewer agreed about getting sunburnt more than once as a child (78.0%, n=523), being overweight (73.5%, n=493), drinking more than one unit of alcohol per day (50.2%, n=337) or doing less than 30 min of moderate physical exercise five times a week (41.1%, n=276).

Conclusion:

Cancer awareness is generally good among frontline staff, but important gaps exist, which might be improved by targeted education and training and through developing clearer messages about cancer risk factors.

Primary excision of cutaneous melanoma: does the location of excision matter

Melanoma is diagnosed more quickly if primarily excised in primary care, but current guidelines discourage this. The reports of all melanomas excised in north-east Scotland between 1991 and 2007 were analysed for adequacy of excision. Reports were analysed blinded as to source. Of primary biopsies performed in primary care, 72.5% were reported as completely excised, compared with 69.7% of those performed in secondary care (P<0.612). The difference remained non-significant following adjustment for important confounders.

Delays in treating endometrial cancer in the South West of England

BACKGROUND

Poor cancer survival rates in the United Kingdom are often blamed on delayed medical care. A local audit of endometrial cancer revealed a variety of preventable delays. We surveyed practice in the South West of England to see if this was an isolated or widespread problem.

METHODS

All 15 hospitals in the South West of England collected information prospectively from all women with endometrial cancer over 3 months in the spring of 2009.

RESULTS

There were delays in all stages of the uterine cancer pathway. Excluding extraneous cases, 52% of women waited more than a month and 12% waited more than 6 months to see their GP from the onset of symptoms. Almost half the cases said they were unaware that abnormal bleeding was a symptom of cancer. Only a quarter of women had treatment within 31 days from the outpatient visit to first definitive treatment and 18% waited more than the target of 62 days for their treatment.

CONCLUSIONS

Significant treatment delays occur because women do not report bleeding. If this is replicated throughout Britain, approximately 1000 women per year will delay presentation for at least 3 months and 600 will wait for more than 6 months.

Recognizing Red Flags in General Practice

Being able to sort the majority of patients who have self-limiting and benign medical conditions from those who need more urgent investigation or referral because they may have a potentially serious underlying disorder remains a key challenge for GPs. This can be a difficult task, given the wide range of medical problems in general practice and the time constraints under which GPs often have to work. Searching for alarm symptoms, signs or diagnostic tests—or ‘red flags’—can help with ‘ruling in’ and ‘ruling out’ serious diagnoses, such as cancer, myocardial infarction or stroke. This article discusses the usefulness—and limitations—of red flags in clinical practice.

Identifying women with suspected ovarian cancer in primary care: derivation and validation of algorithm

OBJECTIVE

To derive and validate an algorithm to estimate the absolute risk of having ovarian cancer in women with and without symptoms.

DESIGN

Cohort study with data from 375 UK QResearch general practices for development and 189 for validation.

PARTICIPANTS

Women aged 30-84 without a diagnosis of ovarian cancer at baseline and without appetite loss, weight loss, abdominal pain, abdominal distension, rectal bleeding, or postmenopausal bleeding recorded in previous 12 months. Main outcome The primary outcome was incident diagnosis of ovarian cancer recorded in the next two years.

METHODS

Risk factors examined included age, family history of ovarian cancer, previous cancers other than ovarian, body mass index (BMI), smoking, alcohol, deprivation, loss of appetite, weight loss, abdominal pain, abdominal distension, rectal bleeding, postmenopausal bleeding, urinary frequency, diarrhoea, constipation, tiredness, and anaemia. Cox proportional hazards models were used to develop the risk equation. Measures of calibration and discrimination assessed performance in the validation cohort.

RESULTS

In the derivation cohort there were 976 incident cases of ovarian cancer from 2.03 million person years. Independent predictors were age, family history of ovarian cancer (9.8-fold higher risk), anaemia (2.3-fold higher), abdominal pain (sevenfold higher), abdominal distension (23-fold higher), rectal bleeding (twofold higher), postmenopausal bleeding (6.6-fold higher), appetite loss (5.2-fold higher), and weight loss (twofold higher). On validation, the algorithm explained 57.6% of the variation. The receiver operating characteristics curve (ROC) statistic was 0.84, and the D statistic was 2.38. The 10% of women with the highest predicted risks contained 63% of all ovarian cancers diagnosed over the next two years.

CONCLUSION

The algorithm has good discrimination and calibration and, after independent validation in an external cohort, could potentially be used to identify those at highest risk of ovarian cancer to facilitate early referral and investigation. Further research is needed to assess how best to implement the algorithm, its cost effectiveness, and whether, on implementation, it has any impact on health outcomes.

The potential for using risk models in future lung cancer screening trials

Computed tomography screening for early diagnosis of lung cancer is one of the more potentially useful strategies, aside from smoking cessation programmes, for reducing mortality and improving the current poor survival from this disease. The long-term success of lung cancer screening will be dependent upon identifying populations at sufficient risk in order to maximise the benefit-to-harm ratio of the intervention. Risk prediction models could potentially play a major role in the selection of high-risk individuals who would benefit most from screening intervention programmes for the early detection of lung cancer. Improvements of developed lung cancer risk prediction models (through incorporation of objective clinical factors and genetic and molecular biomarkers for precise and accurate estimation of risks), demonstration of their clinical usefulness in decision making, and their use in future screening programmes are the focus of current research.

Determining the date of diagnosis--is it a simple matter? The impact of different approaches to dating diagnosis on estimates of delayed care for ovarian cancer in UK primary care

Background

Studies of cancer incidence and early management will increasingly draw on routine electronic patient records. However, data may be incomplete or inaccurate. We developed a generalisable strategy for investigating presenting symptoms and delays in diagnosis using ovarian cancer as an example.

Methods

The General Practice Research Database was used to investigate the time between first report of symptom and diagnosis of 344 women diagnosed with ovarian cancer between 01/06/2002 and 31/05/2008. Effects of possible inaccuracies in dating of diagnosis on the frequencies and timing of the most commonly reported symptoms were investigated using four increasingly inclusive definitions of first diagnosis/suspicion: 1. "Definite diagnosis" 2. "Ambiguous diagnosis" 3. "First treatment or complication suggesting pre-existing diagnosis", 4 "First relevant test or referral".

Results

The most commonly coded symptoms before a definite diagnosis of ovarian cancer, were abdominal pain (41%), urogenital problems(25%), abdominal distension (24%), constipation/change in bowel habits (23%) with 70% of cases reporting at least one of these. The median time between first reporting each of these symptoms and diagnosis was 13, 21, 9.5 and 8.5 weeks respectively. 19% had a code for definitions 2 or 3 prior to definite diagnosis and 73% a code for 4. However, the proportion with symptoms and the delays were similar for all four definitions except 4, where the median delay was 8, 8, 3, 10 and 0 weeks respectively.

Conclusion

Symptoms recorded in the General Practice Research Database are similar to those reported in the literature, although their frequency is lower than in studies based on self-report. Generalisable strategies for exploring the impact of recording practice on date of diagnosis in electronic patient records are recommended, and studies which date diagnoses in GP records need to present sensitivity analyses based on investigation, referral and diagnosis data. Free text information may be essential in obtaining accurate estimates of incidence, and for accurate dating of diagnoses.