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International Journal of Oral Science logoLink to International Journal of Oral Science
. 2013 Nov 29;6(1):39–45. doi: 10.1038/ijos.2013.88

Diagnostic delay in oral squamous cell carcinoma: the role of cognitive and psychological variables

Vera Panzarella 1, Giuseppe Pizzo 1, Francesco Calvino 1, Domenico Compilato 1, Giuseppe Colella 2,*, Giuseppina Campisi 1,*
PMCID: PMC3967306  PMID: 24287962

Abstract

This retrospective study investigated, in two cohorts of subjects living in Southern Italy and awaiting treatment for oral squamous cell carcinoma (OSCC), the variables related to diagnostic delay ascribable to the patient, with particular reference to the cognitive and psychological ones. A total of 156 patients with OSCC (mean age: 62 years, M/F: 2.39∶1) were recruited at the Universities of Palermo and Naples. Risk factors related to patient delay included: sociodemographic, health-related, cognitive and psychological variables. The analysis was conducted by considering two different delay ranges: dichotomous (≤1 month vs. >1 month) and polytomous (<1 month, 1–3 months, >3 months) delay. Data were investigated by univariate and multivariate analyses and a P value ≤0.05 was considered statistically significant. For both delay measurements, the most relevant variables were: ‘Personal experience of cancer' (dichotomous delay: P=0.05, odds ratio (OR)=0.33, 95% confidence interval (CI)=0.11–0.99; polytomous delay: P=0.006, Chi-square=10.224) and ‘Unawareness' (dichotomous delay: P<0.01, OR=4.96, 95% CI=2.16–11.37; polytomous delay: P=0.087, Chi-square=4.77). Also ‘Denial' (P<0.01, OR=6.84, 95% CI=2.31–20.24) and ‘Knowledge of cancer' (P=0.079, Chi-square=8.359) were found to be statistically significant both for dichotomous and for polytomous categorization of delay, respectively. The findings of this study indicated that, in the investigated cohorts, the knowledge about cancer issues is strongly linked to the patient delay. Educational interventions on the Mediterranean population are necessary in order to increase the patient awareness and to emphasize his/her key role in early diagnosis of OSCC.

Keywords: cognitive/psychological factors, diagnosis, oral squamous cell carcinoma, patient delay

Introduction

The oral squamous cell carcinoma (OSCC) is the most frequent malignant tumour of the oral cavity, covering more than 80% of all oral cancer diagnoses. Despite the progress in therapy, the mortality of patients with OSCC has remained steadily high during the last 20 years as compared to other cancers. Consequently, early diagnosis and treatment are still crucial to improve prognosis: if a correct diagnosis is made at the initial stage of the disease, the 5-year survival rate is higher than 90%.1

General practitioner and dental professionals must play an important role in secondary prevention of OSCC, but poor practice of the oral mucosa routine examination during dental and medical recalls is reported by almost all patients whose oral cancer was diagnosed at a late stage. Moreover, dentists should be responsible even for primary prevention of oral cancer, by giving advice on smoking cessation, alcohol diminution and sun protection.2,3,4

Besides the responsibilities ascribable to the professional (‘provider delay'), another kind of liability has to be totally entrusted to the patient, which can be defined as ‘patient delay', or alternatively as ‘the period between the patient first noticing symptoms and their first consultation with a health care professional concerning those symptoms'.5,6

As for other cancers, patient delay accounts for approximately 60% of the overall diagnostic delay7 and it seems to be mainly related to cognitive and psychosocial variables.8,9 In a review of 32 qualitative investigations on cancer patients' experiences of help-seeking, Smith and colleagues10 concluded that the most common causes of patient delay are fear and lack of symptom recognition. Similar findings are reported in studies investigating the risk factors of the delay ascribable to the patients with head and neck/upper gastrointestinal cancers, with particular reference to cognitive and psychosocial variables, which are well known for being related to the detection of cancer symptoms and to seeking medical help.11,12,13

About 30% of OSCC patients usually wait for more than 3 months before consulting medical/dental professional after self-discovery of signs and symptoms of oral cancer.5,14 This delay is related to the difficulty experienced by patient in perceiving such signs and symptoms as harmful, whereas they are usually dismissed as a minor oral disease, e.g., trauma, infective process, disorders related to dentures or other generic, non-dangerous dental conditions.15

The understanding of the reasons that characterize the duration of this cognitive pathway is critical in order to design targeted intervention strategies. To the best of our knowledge, research on this topic, with specific reference to oral cancer, is scant, purely theoretical and qualitatively insufficient.8

The main aim of this retrospective study on OSCC patients was to investigate the variables related to patient delay, with particular reference to cognitive and psychological factors.

Subjects and methods

Study design

A total of 156 patients with histological diagnosis of SCC of the oral cavity and awaiting treatment were consecutively and unselectively recruited at the Department of Surgical, Oncological and Oral Sciences (Oral Medicine Unit), University of Palermo, and at the Department of Head/Neck Surgery, Oral Cavity and Audio/Verbal Communication, Second University of Naples, from January 2000 to December 2005. The study design was approved by the Ethical Committee of the University of Palermo. Informed consent was obtained from all the patients.

All subjects were interviewed, by two of the authors (Vera Panzarella and Giuseppina Campisi), using a structured, pre-tested questionnaire.16 Sociodemographic variables recorded during the interview included age, gender, level of education, employment, marital status and place of residence. In order to assess health-related variables, the subjects were interviewed about their smoking/drinking habits and regularity of dental attendance. Patients were divided into two groups according to their smoking/drinking status: smokers vs. non-smokers and non-drinkers vs. drinkers, respectively. Patients claiming to have quit their smoking or drinking habits have been classified as ‘former' smokers or drinkers, respectively. Finally, dental attendance was defined as regular when the subjects claimed to have undergone dental visit at least once a year.

Cognitive variables were also assessed, specifically including relatives' and personal experience of cancer, knowledge of cancer (either general or oral), experience of symptoms (with reference to asymptomatic or symptomatic lesions, in terms of experienced pain, burning, bleeding/haemorrhage, swelling or irritation/tenderness), initial self-diagnosis (cancer, non-threatening condition, unable to self-diagnose) or complete unawareness (patient unable to recognize symptoms as such).

Finally, the interview considered some common psychological variables related to possible emotional responses to the detection of potentially threatening oral symptoms (denial, fear, carelessness, medical service mistrust).

Since interpretation of the symptoms could significantly differ depending on the considered district (e.g., oral vs. oropharyngeal), we exclusively recruited patients with SCC of the oral cavity (lip and oral sites: ICD-9 140, 141, 143-5) in order to select a cohort as homogeneous as possible.

The patients were specifically asked to provide their most reliable estimate about the date when they recalled to have experienced the first sign/symptom of OSCC. Patient delay was estimated by calculating the time interval between the provided information and the date when the first medical opinion for cancer-related sign/symptom was sought (as established by a physician, a dentist or a staff member at the Universities of Palermo and Naples). In accordance to this definition of delay, patients who did not notice any sign/symptom and did not seek medical consult (i.e., patients whose lesions were accidentally discovered) have been excluded from the study. In order to reduce both the ‘classification bias' and the ‘memory bias' related to patient delay, we decided to use two arbitrary categorizations of this quantity by choosing two different time points to discriminate between delayed and non-delayed cases: ≤1 month vs. >1 month for dichotomous delay (using a cutoff of more than 30 days), and <1 month, 1–3 months, >3 months for polytomous delay.

Statistical analysis

Data were analysed by means of the computer package SPSS 15 (SPSS, Chicago, IL, USA). The Chi-square test was used to assess statistical differences among categorical variables, whereas Fisher's exact test was used when the observed frequency was less than 5; P values ≤0.05 were considered as statistically significant. In order to measure the association level, crude odds ratio (OR) and the 95% corresponding test-based confidence interval (CI) were calculated. Reference groups were chosen as follows: for ordinal variables, the first category was chosen as the reference one; for other features, the category with the largest number was chosen as the reference one.

A logistic/multinomial regression model was also built for dichotomous/polytomous measurements of patient delay, respectively. The maximum likelihood estimates and adjusted odds ratio were obtained on full models by using the iterative weighted least squares procedure.

Results

The male patients were 110 (70.5%), while the female ones were 46 (29.5%), with a male/female ratio equal to 2.39∶1. The mean age at detection of oral signs and symptoms was (62±12.5) years (age range: 32–92 years). The patients were subdivided into four categories of age, according to 25th, 50th and 75th percentiles (<51, <64, <72, ≥72).

No statistical significant association (P>0.05) was found between sociodemographic/health-related variables and patient delay, with the exception of age in univariate analysis of polytomous measurement of delay (P=0.001).

Dichotomous measurement of patient delay (≤1 month vs. >1 month)

The patients characterized by delay ≤1 month were 55/156; those with delay >1 month were 101/156 (35.3% vs. 64.7%). The univariate analysis results are reported in Table 1. The most meaningful factors were: ‘Personal experience of cancer' (Yes vs. None: OR=0.30, 95% CI=0.11–0.82, P=0.02), ‘Knowledge of cancer' (Poor vs. Basic: OR=2.91, 95% CI=1.25–6.76, P=0.013 in univariate analysis), ‘Initial self-diagnosis' (Cancer vs. Unable to self-diagnose: OR=0.22, 95% CI=0.06–0.82, P=0.02), ‘Unawareness' (False vs. True: OR=0.42, 95% CI=0.21–0.81, P=0.01) and ‘Denial' (True vs. False: OR=2.38, 95% CI=0.96–5.90, P=0.06).

Table 1. Univariate analysis of dichotomous measurement of delay (≤1 month vs. >1 month).

Variables >1 month ≤1 month OR (95% CI) P value
Sociodemographic and health-related variables        
Age/years        
 <51 23 12 1.0 (ref)  
 <64 21 21 0.53 (0.22–1.31) 0.17
 <72 29 7 2.11 (0.74–5.99) 0.16
 ≥72 28 15 0.97 (0.38–2.47) 0.96
Gender        
 Female 32 14 1.36 (0.65–2.84) 0.42
 Male 69 41 1.0 (ref)  
Education        
 Uneducated 5 4 0.49 (0.11–2.20) 0.35
 Primary 44 18 1.0 (ref)  
 Middle 26 20 0.53 (0.24–1.18) 0.12
 Secondary 19 8 0.97 (0.36–2.61) 0.95
 Higher education 7 5 0.56 (0.15–2.11) 0.39
Employment        
 Clerk 24 15 0.84 (0.37–1.9) 0.68
 Farmer 3 0 4.65 (0.40–53.86) 0.22
 Professional 1 4 0.15 (0.02–0.96) 0.04
 Unemployed 7 6 0.61 (0.18–2.1) 0.43
 Retired 40 21 1.0 (ref)  
 Other 17 5 1.71 (0.60–4.86) 0.31
Marital status        
 Married/domestic partner 94 53 1.94 (ref)  
 Unmarried/single 7 2 1.83 (0.45–7.44) 0.40
Place of residence        
 Rural district 7 4 0.95 (0.25–3.56) 0.94
 Small town (10–30 000 population) 24 18 0.73 (0.33–1.59) 0.42
 Medium town (30–150 000 population) 24 8 1.59 (0.65–3.87) 0.30
 Large town (>150 000 population) 46 25 1.94 (ref)  
Tobacco use        
 Smoker 54 35 1.0 (ref)  
 Non-smoker 29 13 1.43 (0.67–3.05) 0.35
 Former user 18 7 1.62 (0.65–4.05) 0.30
Alcohol consumption        
 Drinker 47 28 0.91 (0.47–1.75) 0.77
 Non-drinker 50 27 1.0 (ref)  
 Former consumer 4 0 n.d.  
Regular dental attendance        
 False 69 36 1.0 (ref)  
 True 32 19 0.88 (0.44–1.76) 0.72
Cognitive variables        
Relatives' experience of cancer        
 Yes 40 18 1.35 (0.68–2.69) 0.40
 None 61 37 1.94 (ref)  
Personal experience of cancer        
 Yes 7 11 0.30 (0.11–0.82) 0.02
 None 94 44 1.0 (ref)  
Knowledge of cancer        
 Basic 64 47 1.0 (ref)  
 None 13 3 2.67 (0.92–7.76) 0.07
 Poor 24 5 2.91 (1.25–6.76) 0.013
Knowledge of oral cancer        
 Basic 17 11 0.88 (0.37–2.09) 0.77
 None 65 37 1.0 (ref)  
 Poor 19 7 1.51 (0.61–3.72) 0.37
Symptom experience        
 Symptomatic lesion 80 38 1.0 (ref)  
 Asymptomatic lesion 21 17 0.59 (0.28–1.24) 0.16
Initial self-diagnosis        
 Non-threatening condition 39 24 0.67 (0.34–1.35) 0.26
 Cancer 4 7 0.22 (0.06–0.82) 0.02
 Unable to self-diagnose 58 24 1.0 (ref)  
Unawareness        
 False 37 32 0.42 (0.21–0.81) 0.01
 True 64 23 1.0 (ref)  
Psychological variables        
Denial        
 False 75 48 1.0 (ref)  
 True 26 7 2.38 (0.96–5.90) 0.06
Fear        
 False 94 52 1.0 (ref)  
 True 7 3 1.29 (0.32–5.20) 0.72
Carelessness        
 False 87 52 1.0 (ref)  
 True 14 3 2.79 (0.77–10.17) 0.11
Medical service mistrust        
 False 100 53 1.0 (ref)  
 True 1 2 0.27 (0.02–2.99) 0.25

CI, confidence interval; OR, odds ratio; n.d., not determined; ref, reference value.

The logistic regression (Table 2) selected as most significant variables the following ones: ‘Personal experience of cancer' (Yes vs. None: OR=0.33, 95% CI=0.11–0.99, P=0.05), ‘Unawareness' (True vs. False: OR=4.96, 95% CI=2.16–11.37, P<0.01) and ‘Denial' (True vs. False: OR=6.84, 95% CI=2.31–20.24, P<0.01).

Table 2. Logistic regression results of dichotomous measurement of delay (≤1month vs. >1 month).

Variables >1 month ≤1 month OR (95% CI) P value
Personal experience of cancer        
 Yes 7 11 0.33 (0.11–0.99) 0.05
 None 94 44 1.0 (ref)  
Unawareness        
 False 37 32 4.96 (2.16–11.37) < 0.01
 True 69 41 1.0 (ref)  
Denial        
 False 75 48 1.0 (ref)  
 True 26 7 6.84 (2.31–20.24) < 0.01

CI, confidence interval; OR, odds ratio; ref, reference value.

Polytomous measurement of patient delay (<1 month, 1–3 months, >3 months)

The patients characterized by delay <1 month were 55 (35.26%), the ones with delay ranging from 1 month to 3 months were 51 (32.69%), and finally, the ones with delay >3 months were 50 (32.05%). The results of univariate analysis are reported in Table 3. The most meaningful variables are: ‘Age' (Chi-square=16.13, P=0.01), ‘Personal experience of cancer' (Chi-square=6.79, P=0.03), ‘Knowledge of cancer' (Chi-square=12.04, P=0.02) and ‘Unawareness' (Chi-square=7.57, P=0.02).

Table 3. Univariate analysis of polytomous measurement of delay (<1 month/1–3 months/>3 months).

Variables <1 month 1–3 months >3 month OR (95% CI) P value
Sociodemographic and health-related variables        
Age/years       16.13 0.001
 <51 12 11 12    
 <64 21 16 5    
 <72 7 15 14    
 ≥72 15 9 19    
Gender       0.80 0.67
 Female 14 17 15    
 Male 41 34 35    
Education       3.93 0.86
 Uneducated 4 3 2    
 Primary 18 21 23    
 Middle 20 14 12    
 Secondary 8 10 9    
 Higher education 5 3 4    
Employment       14.04 0.30
 Clerk 15 14 10    
 Farmer 0 1 2    
 Professional 21 17 23    
 Unemployed 6 4 3    
 Retired 21 17 23    
 Other 5 8 9    
Marital status       2.43 0.30
 Married/partner 53 49 45    
 Unmarried/single 2 2 5    
Place of residence       5.48 0.48
 Rural district 4 2 5    
 Small town (10–30 000 population) 18 10 14    
 Medium town (30–150 000 population) 8 14 10    
 Large town (>150 000 population) 25 25 21    
Tobacco use       4.69 0.32
 Smoker 35 23 31    
 Non-smoker 13 18 11    
 Former user 7 10 8    
Alcohol consumption       7.69 0.10
 Drinker 28 19 29    
 Non-drinker 27 31 19    
 Former consumer 0 2 2    
Regular dental attendance       2.79 0.25
 False 36 31 38    
 True 19 20 12    
Cognitive variables          
Relatives' experience of cancer       0.83 0.66
 Yes 18 21 19    
 None 37 30 31    
Personal experience of cancer       6.79 0.03
 Yes 11 5 2    
 None 44 46 48    
Knowledge of cancer       12.04 0.02
 Basic 47 36 28    
 None 3 4 9    
 Poor 5 11 13    
Knowledge of oral cancer       1.60 0.81
 Basic 11 10 7    
 None 37 32 33    
 Poor 7 9 10    
Symptom experience       3.44 0.18
 Symptomatic lesion 38 43 37    
 Asymptomatic lesion 17 8 13    
Initial self-diagnosis       7.27 0.12
 Non-threatening condition 24 22 17    
 Cancer 7 3 1    
 Unable to self-diagnose 24 26 32    
Unawareness       7.57 0.02
 False 32 31 16    
 True 23 30 34    
Psychological variables          
Denial       3.62 0.16
 False 48 38 37    
 True 7 13 13    
Fear       1.55 0.46
 False 52 46 48    
 True 3 5 2    
Carelessness       3.06 0.22
 False 52 45 42    
 True 3 6 8    
Medical service mistrust       1.84 0.40
 False 53 50 50    
 True 2 1 0    

CI, confidence interval; OR, odds ratio; ref, reference value.

As regards the results of multinomial regression (Table 4), the most meaningful variables were: ‘Age' (Chi-square=23.414, P=0.001), ‘Personal experience of cancer' (Chi-square=10.224, P=0.006), ‘Knowledge of cancer' (Chi-square=8.359, P=0.079) and ‘Unawareness' (Chi-square=4.877, P=0.087).

Table 4. Multinominal regression results of polytomous measurement of delay (<1 month/1–3 months/>3 months).

Variables Chi-square P value
Age 23.414 0.001
Personal experience of cancer 10.224 0.006
Knowledge of cancer 8.359 0.079
Unawareness 4.877 0.087

Discussion

With almost 130 000 annual deaths worldwide, OSCC is considered a public health problem.17 This type of cancer is relatively common in Italy: in 2008, the registered incidence was equivalent to 4 450 with an age-standardized rate per 100 000 population per year equal to 6.0 for male and 2.3 for female.18 In Southern Italy, the number of new cases, in the same period, was 509 and age-standardized rate was 4.3 for male and 1.2 for female.19 The data on OSCC are still daunting: the majority of cases is identified late and in advanced clinical stage (i.e., III or IV). Moreover, after primary treatment, recidivists or metastases are found in more than half of the patients (80% of cases within the first two years) and the 5-year survival rate is less than 50%.19 In these cases, the necessary surgical treatment and radio- and chemotherapy are so invasive, complex, weakening and disfiguring that they heavily compromise the quality of the remaining life.20,21

The great paradox of OSCC is that, despite the easy access to oral district for medical examination and the improvements on therapeutic approaches to the disease, its death rate remains high (approximately 46.5%) and, even more unexpected, similar to that of cancers occurring in less accessible areas, such as colon, cervix and breast.22

OSCC is almost always preceded by visible and symptomatic early changes of the mucosa (such as ulcer, erithroplakia, leukoplakia), bleeding and pain. An adequate examination for the suspect of oral cancer consists of a simple, non-invasive, oral visual inspection that requires only 5 min during dental/medical recall. Nevertheless, the majority of patients are diagnosed at the late stage.23 Additionally, it seems that such oral examination is accepted by the patient with more hesitation than a pelvic exam and Pap smear. This patient behaviour is due to the misunderstanding of initial signs for minor oral diseases, such as trauma, infective process, disorders related to dentures or other dental condition.24,25 As a consequence, self- and/or inappropriate medications are carried out, in the false opinion of improving the course of the disease, while substantially increasing the duration of diagnostic delay.

Hence, an effective strategy to improve OSCC outcome and to reduce its morbidity seems to guide the patients towards an early diagnosis, by acting on those factors primarily involved in the initial stage of cognitive process.7,8,16

In the present study, we investigated diagnostic delay in OSCC in two cohorts of patients living in Southern Italy and awaiting treatment for OSCC. To the best of our knowledge, this is the first study conducted in the Mediterranean area investigating the variables related to the patient delay, with particular reference to the cognitive and psychological ones.

No statistical significant association was found between lesion symptoms, sociodemographic (with the exception of age), health-related variables and patient delay. On the contrary, some of the cognitive and psychological variables investigated were found to be significantly associated with the diagnostic delay.

As regards dichotomous delay (≤1 month vs. >1 month), the logistic regression showed the importance of ‘Personal experience of cancer', ‘Unawareness' and ‘Denial' variables in terms of statistical significance. These results are similar to those obtained from the analysis conducted using a polytomous measurement of delay (<1 month, 1–3 months, >3 months) that highlighted the ‘Age', ‘Personal experience of cancer', ‘Knowledge of cancer' and ‘Unawareness' variables.

Our findings also suggest that older patients with knowledge of cancer (through personal experience or referred) showed a smaller delay with respect to younger patients, whereas emotional response, such as denial, related to difficulty in recognizing potential cancer symptoms, was found to be significantly related to the OSCC delay.

These results could be explained by the consideration that the majority of people, particularly young subjects, with no experience of cancer (general or oral), very seldom consider the possibility to have a malignant disease. As a consequence, a ‘wait and see' behaviour is adopted, denying the usefulness of medical help and opting for a useless self-diagnosing and/or a self-medication for an indefinite time.

Non-recognition of the severity of symptoms, mainly related to lack of knowledge about the disease, was the predominant risk factor for patient delay across all cancer sites,9 including the oral cavity where malignant conditions are almost always preceded by symptomatic early signs that could easily be diagnosed.4

With the limitation related to the retrospective design of the present study (that could be biased by patient difficulty to report specific time interval), the main results of the present investigation are in line with those of similar researches on other symptomatic cancers.26 Our findings also support the belief that improving basic knowledge about cancer issue may increase people's ability to identify cancer symptoms and to promote an appropriate life-saving help-seeking.

For this purpose, as recently recommended by Rogers et al.,15 increasing public awareness, both on oral cancer and general cancer, by media advertising such as TV/radio broadcasts/newspapers/publications, and by regular educational programs involving schools, should be promptly planned. The use of alert messages in dental/general practitioners and pharmacies may also be useful to increase the population awareness on the high variability of presentation of the OSCC.26

These intervention strategies should be conducted by emphasizing the key role of the patient on the diagnostic pathway of oral cancer. In fact, as suggested by Austoker et al.,27 awareness interventions, knowledge of screening visits and their time interval (6–12 months in asymptomatic subjects), self-checking behaviour are considered important elements of cancer awareness. Therefore, similarly to the promotion of breast self-examination or testicular checking, which are reported as helpful in the reduction of breast and testicular cancers, respectively, the self-examination of the oral cavity should be strongly encouraged, as this can enable the patient to detect early OSCC signs.8,28

In conclusion, the findings of this study indicated that, in the investigated cohorts, the knowledge about cancer issues is strongly linked to the patient delay. Educational interventions on the Mediterranean population are necessary in order to increase the patient awareness and to emphasize his/her key role in early diagnosis of OSCC.

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