This article has Open Peer Review reports available.
Development of a scale to assess cancer stigma in the non-patient population
© Marlow and Wardle; licensee BioMed Central Ltd. 2014
Received: 9 December 2013
Accepted: 9 April 2014
Published: 23 April 2014
Illness-related stigma has attracted considerable research interest, but few studies have specifically examined stigmatisation of cancer in the non-patient population. The present study developed and validated a Cancer Stigma Scale (CASS) for use in the general population.
An item pool was developed on the basis of previous research into illness-related stigma in the general population and patients with cancer. Two studies were carried out. The first study used Exploratory factor analysis to explore the structure of items in a sample of 462 postgraduate students recruited through a London university. The second study used Confirmatory factor analysis to confirm the structure among 238 adults recruited through an online market research panel. Internal reliability, test-retest reliability and construct validity were also assessed.
Exploratory factor analysis suggested six subscales, representing: Awkwardness, Severity, Avoidance, Policy Opposition, Personal Responsibility and Financial Discrimination. Confirmatory factor analysis confirmed this structure with a 25-item scale. All subscales showed adequate to good internal and test-retest reliability in both samples. Construct validity was also good, with mean scores for each subscale varying in the expected directions by age, gender, experience of cancer, awareness of lifestyle risk factors for cancer, and social desirability. Means for the subscales were consistent across the two samples.
These findings highlight the complexity of cancer stigma and provide the Cancer Stigma Scale (CASS) which can be used to compare populations, types of cancer and evaluate the effects of interventions designed to reduce cancer stigma in non-patient populations.
Stigma is an attribute that discredits a person, reducing them “from a whole and usual person to a tainted, discounted one” (p.12) . This highlights two important components of stigma: the characteristic that makes a person ‘different’ and the devaluation of the person on the basis of this difference . Health-related stigma refers to stigmatisation of an illness, which can be applied to an individual or a group of people with the illness, as well as to the illness more generally . It is “characterized by exclusion, rejection, blame or devaluation that results from experience, perception or reasonable anticipation of an adverse social judgment about a person or group” (p.280) . There is widespread agreement that illness stigmatisation is not stable, but influenced by social attitudes that differ across cultures and change over time .
Most of the literature exploring health-related stigma has focused on a small group of illnesses: leprosy, epilepsy, HIV/AIDS and mental illness . Cancer has attracted less research attention, although it is often described as a stigmatised condition (http://livestrongblog.org/2010/02/01/cancer-stigma), and perceptions of stigma have been identified as a concern among cancer patients. Patients sometimes feel avoided by others once they have received a cancer diagnosis [7–9] and fear of stigmatisation can be a barrier to disclosure of a cancer diagnosis [8, 10]. Work exploring stigma among cancer patients has focused on lung cancer, with patients who are smokers feeling blamed because of the perception that their illness is self-inflicted .
Few studies have explored stigma towards cancer in the non-patient population, although there are several reasons why this is important. The availability of cancer detection and prevention procedures (e.g. screening and HPV vaccination) means that people need to consider the possibility of a cancer diagnosis in the context of making preventive health decisions and fear of stigmatisation has been identified as a potential barrier to self-examination, screening, and delayed presentation of cancer symptoms [12–18]. It is also possible that the growing number of public health campaigns designed to educate the public about behavioural risk factors for cancer (e.g. smoking, obesity, Human Papillomavirus) could generate stigma by implying that cancers are avoidable .
The aim of the present study was to develop a Cancer Stigma Scale (CASS) for use in non-patient populations. Being able to measure the stigma of cancer would make it possible to identify the extent to which stigma exists, to monitor changes in perceptions of cancer as a result of public health campaigns or media attention and to help identify risk factors for more stigmatised beliefs.
A multidimensional concept
Stigma is considered to be a multidimensional concept. Jones et al. identified six components of health-related stigma which apply to varying degrees depending on the illness of interest . The first component, ‘peril’, relates to perceived danger from the stigmatised person, for example if their illness is considered contagious (e.g. HIV/AIDs) or they are considered dangerous (e.g. some mental illnesses). Interacting with those who are ill also raises awareness of personal mortality, resulting in anxiety and the need to see those who have the illness as different . This side of peril is particularly relevant to cancer: ‘[The] dying cancer patient may make us starkly and disagreeably aware that a similar fate can befall us’ (p.66, ).
The second component, ‘course’, refers to changes in the illness over time, with conditions that are progressively crippling, chronic and incurable being more stigmatised. This is similar to the component of ‘stability’, identified by others . If beliefs about the success of cancer treatments become more optimistic and the chances of long-term survivorship are seen as higher, the course-related element of stigma could be reduced.
The third component is ‘origin’. This relates to when and how the illness is believed to have come about. A particularly relevant aspect of this is the attributions of perceived responsibility, because when a person is believed to have caused their illness, the associated stigma is greater . Again this is supported by other stigma theorists [5, 21]. It may become increasingly relevant for cancer as the lifestyle determinants are more widely recognized. There is already evidence that lung cancer patients believe that the well-established link between smoking and their type of cancer contributes to stigmatisation , and more blame is attributed to patients with lung cancer than patients with leukaemia, breast, bowel or cervical cancer .
The three remaining components are ‘concealability’ (whether an illness can be hidden from others), ‘disruptiveness’ (whether it disrupts usual interactions), and ‘aesthetics’ (described as a primitive response by the perceiver to a non-concealable mark that makes the person less ‘pleasing on the eye’). Similar aspects are identified by other theorists, including Crocker et al.  who suggested the ‘visability’ of a stigma creates a schema through which all other aspects of the person are viewed. Some cancers do not have any visible signs, i.e. they are concealable. However, cancer treatment can result in more visible signs such as alopecia or a colostomy bag, and several studies have shown that these signs contribute to feelings of stigmatisation [23, 24].
These six components help to highlight the aspects of an illness that may contribute to it being stigmatised. Each of the components could be considered from the perspective of the perceiver or the target . Traditionally, studies considering behavioral aspects of stigma have assessed interpersonal avoidance and social distance [25–27], but attitudes towards discrimination (e.g. employment law, access to financial services) have also been considered [28, 29].
Measuring cancer-related stigma
In recent years there has been an increase in research into perceptions of stigma among cancer patients, but little systematic research into the general public’s attitudes. In a review of 38 articles exploring stigma and cancer, the majority focused on the cancer patient’s experience , with only seven studies in non-patient samples, and these were mostly qualitative investigations. To our knowledge, at the time of conducting this work no scales were available for assessing cancer stigma in the non-patient population. A 2006 review of illness-related stigma identified 24 scales, but none of them assessed cancer-related stigma . Although these scales have traditionally been used to indicate stigma, stigma of cancer was expected to be more subtle than with other illnesses and many of the items traditionally used are unlikely to be appropriate because of the non-contagiousness of cancer (e.g. I would share a plate with someone with cancer). Twenty years ago a measure of cancer attitudes was developed that included some items related to stigma (the Cancer Attitudes Inventory ; available in ). However, it was designed to be unidimensional, and did not reflect the different aspects of stigma that might be relevant to cancer. More recently, the Cataldo Lung Cancer Stigma Scale (CLCSS) was developed for lung cancer patients . Adapted from an HIV Stigma Scale, the CLCSS is a multidimensional measure with four subscales assessing stigma and shame, social isolation, discrimination and smoking. We used a similar approach to develop a multidimensional scale of cancer stigma, drawing on measures of stigma in other illnesses and on the literature exploring perceptions of stigma in cancer patients.
Development of an item pool
An item pool was developed on the basis of previous research into illness-related stigma in the general population and patients with cancer. Illness-related stigma scales were identified through a systematic review  that had used the search terms ‘stigma’ or ‘discrimination,’ and ‘scales’, ‘measurement’ or ‘assessment’. Overall, 24 different measures had been used to assess stigma in the general population, relating to leprosy, HIV/AIDS, mental illness, epilepsy and skin disease. For five of the studies, we could not access the scales, so items from 19 quantitative studies were included in the item pool. Studies exploring perceptions of cancer-related stigma were identified through a second systematic review  which used the search terms ‘stigma and cancer’, ‘stigma, psychosocial and cancer’ and ‘discrimination and cancer’. The review identified 38 studies of which three were not available, and 14 either used indirect measures of stigma (e.g. GP referral or internet use) or assessed a very specific area (e.g. attitudes to HPV or alopecia). Relevant items were adapted from the remaining 21 studies. Thirty-five items from the Cancer Attitudes Inventory (CAI) were also included in the initial item pool . In total, 481 items were extracted from 41 studies that had used qualitative or quantitative methods to assess stigma in patient and non-patient samples (see Additional file 1).
Items were organized into themes and inspected to ensure that all relevant aspects of stigma (as identified by Jones et al. 1980) were covered. Duplicate items were deleted. The item pool was then discussed with a panel of cancer researchers (n = 7, post-doctoral fellows and senior researchers, with backgrounds in behavioural science and psychology). The quality of each item was discussed in a single meeting following which further changes were made to i) remove ambiguous items, ii) simplify wording, iii) remove ‘loaded’ items, e.g. ‘suffering’ with cancer and ‘cancer patient’, iv) remove personalized items e.g. ‘if I had cancer…’, and v) ensure that there were some positively worded items.
The refined item pool included 84 items. All attitude items were phrased so that a 6-point response scale of disagree strongly, disagree moderately, disagree slightly, agree slightly, agree moderately and agree strongly, would be appropriate. Response options for anticipated emotional and behavioral reactions to someone with cancer were definitely not, probably not, possibly not, yes possibly, yes probably and yes definitely. A ‘not sure’ option was also offered for all items; this was positioned to the right of the 6-point scale (rather than as a mid-point) and was separated by a vertical dotted line to minimize the chance of people using it because they wanted to avoid thinking about the question.
The first item set was given to an opportunistic sample (n = 57 students) to ensure that questions were answerable and wording was clear. This resulted in deletion of two items because a large proportion of participants (more than 20%) found them too difficult to answer. Small changes were also made to the wording of several items.a
Testing the item pool
To explore the structure of the items and to test validity and reliability, data were collected from two samples: postgraduate students (study 1) and online panel participants (study 2). Both groups completed the questionnaire online and anonymously. We chose this modality because there is some suggestion that web-based data collection can reduce the social desirability pressures of responding to sensitive questions [34, 35].
Study 1 – Student sample
A link to the questionnaire was sent via email to all postgraduate students at a University in London. Our target was to recruit a minimum of 300 students in order to have a ‘good’ sample size for running factor analysis . The online survey was closed two weeks after the recruitment email was sent. Two to three weeks after original completion of the questionnaire students were sent a second email asking them to complete the survey again for test-retest reliability. The email included an ID number which they were asked to enter and this allowed us to match the two sets of results. The study was approved by the UCL Research Ethics Committee (ref: 0496/007). Students were offered entry into a prize draw to win £100. Entry into an additional prize draw to win £50 was offered for completing the survey a second time.
As well as completing the 82 stigma items, participants completed i) the Level of Familiarity Questionnaire, originally designed to assess familiarity with mental illness  but adapted here for cancer, ii) a 10-item measure of social desirability (The M-C 2(10), ), and iii) a question from the Cancer Awareness Measure , which asks participants to ‘put the following things in order of how much you think they contribute to cancer’ (lifestyle, chance, aging, environmental factors, and genetic inheritance). Based on findings from the stigma literature, we expected cancer-related stigma to be lower in people who were more familiar with the disease , and to be higher in those who attributed cancer more strongly to lifestyle . Gender, age, and subject of study were also reported. Based on the literature exploring stigma of other illnesses, we expected stigma to vary by gender and age [40, 41].
Data were analyzed in SPSS version 15.0. Exploratory factor analysis was used to examine the underlying factors in the questionnaire. On the basis of these results, scales assessing different aspects of cancer stigma were computed. Internal reliability, test-retest reliability and construct validity were assessed for each of the factors. Correlations between factors were also examined.
Overall 473 postgraduate students completed the questionnaire, of whom three quarters (72%) were female, with a mean age of 29.1 (range 20–75). Current subject of study was coded according to the university faculties list and categorized into: arts and humanities (n = 144), engineering and mathematics (n = 140), life sciences and medicine (n = 181). A small proportion of respondents reported that they had had cancer (3%), had lived with someone who had cancer (7%), or had worked in a job which involved providing services to someone with cancer (12%). The overwhelming majority responded yes to the item ‘a friend of the family has had cancer’ or ‘I have a relative who has cancer’ (91%). Fifteen percent had never been around anyone with cancer. Lifestyle was rated as the main cause of cancer by 37% of participants. Social desirability was recoded into a binary variable for ease of presentation, with 53% scoring low (mean: 0–5) and 47% high on social desirability (mean: 6–10).
Ten items were deleted because a large proportion of respondents (more than 20%) indicated that they were unsure (i.e. they could not agree or disagree with the item). According to Clark & Watson , it is important to inspect the distribution of individual items and delete items that have a highly skewed distribution. Item distributions were examined, and when fewer than 5% or more than 95% of respondents agreed, the item was excluded (a further six items). Where >20% of the remaining 66 items were missing, data from that respondent were excluded from further analysis (n = 9).
The 66 items were entered into a principal components analysis. Inspection of the scree plot suggested that the data were best represented by an 8-factor solution. This accounted for 46% of the variance in the 66 items, and the factors had eigenvalues of: 10.59, 6.36, 2.96, 2.76, 2.36, 1.98, 1.70 and 1.66. The Kaiser value was .86 and Bartlett’s test was significant, indicating that factor analysis was appropriate. An oblique rotation (Promax) was used, because the factors were expected to be correlated. The eight factors assessed: Awkwardness (e.g. I would find it difficult being around someone with cancer), Severity (e.g. Once you’ve had cancer you’re never ‘normal’ again), Avoidance (e.g. I would distance myself physically from someone with cancer), Policy Opposition (e.g. More government funding should be spent on the care and treatment of those with cancer, reversed), Personal Responsibility (e.g. A person with cancer is accountable for their condition), Pity (e.g. I would feel sorry for someone with cancer), Financial Discrimination (e.g. It is acceptable for banks to refuse to make loans to people with cancer) and Fear (e.g. Cancer is more frightening than most other diseases).
Items loading < .4 or loading equally onto multiple factors (with < .10 difference between the loadings) were rejected (22 items). This included all items that loaded on the Fear factor, all of which had low factor loadings (.33-.39), therefore Fear was not considered in further analyses. The item-total correlations were inspected and one item was deleted because the correlation was <0.3 . At this stage we also took the decision to exclude the Pity factor. Items assessing pity were included in the initial item pool because previous studies on stigma had included this construct. However, 2 of the 4 items remaining in this subscale had borderline factor loadings (<.45) and the scale had a limited range. Most respondents scored very highly (94% scored >4, mean = 4.98, standard deviation = 0.74) and no-one scored below 2. We therefore decided that pity was not appropriately discriminating in the present scale.
Following these exclusions we were left with 39 items, of which between 3 and 12 loaded on each of the remaining six factors. To ensure the scale would not be too long and to control participant burden, we excluded additional items with the lowest factor loadings (for factors with multiple items). Content validity was also taken into account, so in one instance an item on the Avoidance subscale which was considered important (I would try to avoid a person with cancer, loading = .50) remained in place of one with a slightly higher loading (I feel threatened by someone with cancer, loading = .54).
Exploratory factor analysis of stigma-related cancer
I would feel at ease around someone with cancer (R)
I would feel comfortable around someone with cancer (R)
I would find it difficult being around someone with cancer
I would find it hard to talk to someone with cancer
I would feel embarrassed discussing cancer with someone who had it
Once you’ve had cancer you’re never ‘normal’ again
Having cancer usually ruins a person’s Career
Getting cancer means having to mentally prepare oneself for death
Cancer usually ruins close personal relationships
Cancer devastates the lives of those it touches
If a colleague had cancer I would try to avoid them
I would distance myself physically from someone with cancer
I would feel irritated by someone with cancer
I would feel angered by someone with cancer
I would try to avoid a person with cancer
More government funding should be spent on the care and treatment of those with cancer (R)
Increased spending on cancer services is a waste of money*
The needs of people with cancer should be given top priority (R)
We have a responsibility to provide the best possible care for people with cancer (R)
A person with cancer is liable for their condition
A person with cancer is accountable for their condition
If a person has cancer it’s probably their fault
A person with cancer is to blame for their condition
It is acceptable for banks to refuse to make loans to people with cancer
Banks should be allowed to refuse mortgage applications for cancer-related reasons
It is acceptable for insurance companies to reconsider a policy if someone has cancer
Correlations and reliability for each factor
Internal reliability and test-retest reliability
Internal reliability was adequate for all the factors (Cronbach’s α = 0.73-0.87). The questionnaire was completed for a second time by 54% of the respondents (n = 249) and correlations between time 1 and time 2 scores were significant for all the factors (r = .72-.82, all p’s < .001).
Construct validity in the student sample
t-test (p value)
t-test (p value)
t-test (p value)
Belief that lifestyle is cause
t-test (p value)
Ever been around a person with cancer
t-test (p value)
Low score (0–5)
High score (6–10)
t-test (p value)
Study 2 – online panel sample
The aim of study 2 was to confirm the factor structure, as well as the reliability and validity of the scales in a different sample. Participants were recruited through an online market research agency (Survey Sampling) which holds a panel of over 200,000 UK residents who have consented to being contacted by email about online research studies. Panel members are offered points which can be exchanged for small rewards (e.g. airmiles). A random selection of participants were sent an email inviting them to take part in our study. Our target was to recruit at least 200 participants. This was set lower than in study 1 because there were fewer items by this stage. We set several quotas to ensure equal numbers of men and women, younger (<35) and older, and with or without a university degree. Participants completed the 26 stigma items, and also the Level of Familiarity (with cancer) questionnaire , and a measure of social desirability . They reported gender, age, education and ethnicity. The study was approved by the UCL Research Ethics Committee (ref: 0496/007). Confirmatory Factor analysis was run in Mplus 7.11.
Data were collected from 256 participants over 18 days. Half were male (51%) and the mean age was 38 (range 16–80 years). Just under half were single (45%), 44% were married or cohabiting, and the rest were separated/divorced or widowed (9% and 3% respectively). All participants had at least some educational qualifications: 27% indicated basic school-based exams (GCSEs) as their highest qualification, 30% had A-levels or a qualification below degree, and 29% had a university degree. The majority were from white ethnic backgrounds (80%). Very few had lived with someone who had cancer (9%), provided services to people with cancer (6%), or had experienced cancer themselves (4%). About three quarters (72%) reported that a closeb friend or family member had had cancer, and only 22% said they had never been around anyone with cancer. Cases where more than 20% of the 66 variables were missing were excluded from further analysis (n = 16).
Confirmatory factor analysis
Results of confirmatory factor analyses testing the generalizability of a 6-factor model of cancer stigma (n = 169)
χ 2 SB
2. 1 item excluded1
3. 1 item excluded1 and correlated residuals allowed2
Means, correlations and internal reliability
Scores for each factor were calculated in the same way as study 1, and the means and standard deviations are shown in Figure 1 (NOTE: for study 2 the Policy Opposition Score was based on 3 rather than 4 items). The pattern of inter-correlations between factors was largely similar to study 1 (see Table 2), ranging from small to medium for most pairs (r = -.17-.49), but large for Personal Responsibility and Avoidance (r = .64). Internal reliability ranged from adequate to good (Cronbach’s α = 0.76-0.91).
Construct validity in the non-student sample
School level - low
School level - high
Close friend or family member has had cancer
Low score (0–5)
High score (6–10)
This paper reports the development and validation of the Cancer Stigma Scale (CASS) designed to assess cancer stigma. The final scale includes 25 items assessing six different aspects of stigma; Awkwardness, Avoidance, Perceived severity, Policy Opposition, Personal Responsibility and Financial Discrimination. These components cover a range of aspects that are moderately correlated with one another, show adequate to good levels of internal and test-retest reliability, and fit well with the stigma literature. Mean scores were similar in the student and online-panel samples, supporting the validity of the scales.
The severity factor included items relating to how severe the consequences of a cancer diagnosis were expected to be and the likelihood of recovery from cancer. This fits well with Jones et al.’s  ‘course’ component and the ‘stability’ component identified by Weiner et al. . Similarly, Sontag  identified the feeling of dread as a contributor to stigmatisation, stating that “treating cancer as no mere disease but a demonic enemy makes cancer not just a lethal disease but a shameful one” (p.59). The severity factor assesses the belief that a cancer diagnosis is catastrophic. Responses on the severity subscale may be amenable to change following raised awareness of the success of cancer treatments.
Personal Responsibility, which relates to how much a person’s actions are considered to have contributed to their cancer, has consistently been identified in stigma theory (sometimes referred to as ‘origin’ or ‘controllability’). Attributions of personal responsibility are made because the perceiver feels the need to explain why an event (in this case a diagnosis of cancer) has occurred , and some theories suggest that perceivers attribute responsibility to individuals to seek justification as to why they are experiencing illness (justification ideologies) . Scores on the Personal Responsibility scale may increase as the public becomes more aware about lifestyle risk factors for cancer.
The cancer stigma scale also assessed Awkwardness, i.e. whether people feel comfortable around someone with cancer. Items tapping this aspect of stigma have been used in previous studies [45–47]. Anticipated awkwardness could be one reason why people would avoid interacting with someone that had cancer, and this is supported by the moderate correlation between Awkwardness and Avoidance (r = .43-.46). We found that people who reported more contact with someone who had had cancer had lower Awkwardness scores, suggesting some adaptation. Interventions designed to decrease the stigma of mental illness have shown that contact with people who have these illnesses is one of the most effective strategies . Future work could consider the effect of similar interventions on perceived awkwardness around someone with cancer.
Avoidance, Policy Opposition and Financial Discrimination were also included in the scale. Goffman believed when a trait turns “those of us whom he meets away from him”, a person is the victim of stigmatisation in its purest form (p.15) , and this strongly supports the existence of the Avoidance component that is included in the scale. Avoidance items have also been included in many other studies that have assessed stigma of other illnesses e.g. [49–51].
The items on Financial Discrimination also fit well with studies in the context of other illnesses . There are some legal boundaries in place to limit unfair discrimination against cancer patients (e.g. in the work-place), but in other instances discrimination is still acceptable (e.g. for obtaining travel insurance). While the estimation of a high chance of needing medical care is accurate in some cases, this is not always the case and making judgments on the basis of a cancer label alone, rather than an individual diagnosis, may not be considered fair. Financial worries can be an additional cause of stress following a cancer diagnosis, and fear of stigma can lead to patients avoiding claiming the financial benefits they are entitled to . Understanding public opinion about such discrimination and how this correlates with other stigma components is an area for future research. The Policy Opposition component was correlated with Financial Discrimination. Although these sorts of items are less common in other stigma scales, they allowed us to include items tapping positive attitudes towards people with cancer.
Many of the stigma components were associated with socio-demographic factors. For the most part, being male was associated with higher cancer-related stigma (higher scores for Personal Responsibility, Avoidance, Policy Opposition and Financial Discrimination in at least one of the samples), as was younger age (higher scores for Personal Responsibility, Awkwardness, Avoidance, Policy Opposition and Financial Discrimination in at least one of the samples). In study 2, we also looked at ethnicity and education level. Being from an ethnic group other than white-British was associated with greater stigma (higher personal Responsibility, Avoidance, Policy Opposition, and Financial Discrimination) while being more educated was associated with higher Policy Opposition scores, but no other component.
Scoring higher on social desirability was associated with lower cancer-related stigma (lower Awkwardness, Avoidance, Policy Opposition and Financial Discrimination). This suggests that those who care more strongly about what others think of them are motivated to deny negative attitudes towards cancer patients. This association could suggest that participants may not be truthful when asked about cancer stigma and this has important implications for using the scale we have developed. We selected an internet-based survey to overcome the effects of social desirability, but it remained nevertheless and may have an even stronger influence if alternative collection methods were used.
There are other aspects of stigma theory that are not included in the CASS, for example we have not assessed the influence of concealability, disruptiveness or aesthetics; three components that are associated with the visible aspects of illness . That is not to say they are irrelevant, but these other aspects may be specific to certain cancers/treatments (e.g. disfigurement following head and neck cancer), and in the interests of developing a brief, valid scale, we felt it best to focus on the most salient aspects of cancer stigma generally.
We acknowledge a number of limitations. As with all scales, the CASS is limited by the quality of the initial item pool. We attempted to ensure items had good face validity and covered all aspects identified by stigma theory by using items from previously validated measures and including several steps prior to factor analysis. Although our studies had adequate participants item ratios (1:7 for study 1 and 1:9 for study 2) in accordance with some criteria, others might recommend higher sample sizes. For convenience, we choose to use a student sample for the first part of this study. There are obvious limitations to the use of this sample, most notably their age and education level are not reflective of the general population. We did expand our work to include a general population sample following exploratory factor analysis, but neither of our studies was carried out in a representative sample, so the mean scores may not reflect those in the general population. In addition, using online administration means those who do not have access to or use computers were excluded. Regular internet use is associated with higher income  and our online panel sample (study 2) could reflect this.
Although there were a range of responses across the two samples, the results, particularly for some of the factors, were highly skewed. This is not surprising given the two samples were quite homogenous and we may expect more normally distributed responses if the data were collected in the general population. Severity scores did not vary by any of the variables measured which could suggest poor content validity or a very limited range of results. Future research should recruit samples that are expected a priori, to have high or low feelings of stigma. While this paper did consider experience of cancer, recruiting groups with particularly high levels of experience such as oncology nurses may generate more variation.
As is the case with development of any measure, our findings regarding the validity, reliability and structure of the CASS are limited to the context within which our data were collected. Additional work is needed to validate the CASS in different population sub-groups (e.g. ethnic minorities, lower literacy populations) and in different countries. Cancer is highly stigmatised in some cultures and the availability of a validated scale which could be used cross-culturally would be particularly useful.
Considering differences across cancers would also be interesting. The term cancer incorporates many diseases, and it is likely that some cancers are seen differently from others. We found that participants who rated lifestyle as the main contributing risk factor for cancer score more highly on the Personal Responsibility sub-scale. However, the conclusions we can draw from this are limited because the aetiology of each cancer is different. Previous work has shown that some cancers with an established behavioural aetiology attract greater blame attributions , and studies with patients and health professionals, suggest lung cancer attracts more stigma than other cancers as a result of its link with a behavioural cause (smoking) and poor prognosis . A recent review suggested that anti-smoking campaigns, may contribute to stigma among lung cancer patients who smoke . Changes in public perceptions of cancer stigma following such campaigns have not yet been assessed and the CASS could be a useful tool for doing this.
This manuscript describes the development and validation of the CASS, a scale to assess cancer related stigma in a non-patient population. Stigma was first discussed in relation to cancer many years ago, but there has been little systematic research in this area. The availability of a tool to assess cancer stigma will help to identify if there is real cause for concern in this area and if so where interventions designed to decrease stigma are needed.
aCognitive interview procedures might be recommended at this stage, but given that our items were generated from previous work we felt it was acceptable to proceed without this.
bBecause such a high proportion of participants in study 1 had indicated that a friend or family member had had cancer, these questions were changed slightly for study 2, so that they referred specifically to ‘close’ friends or relatives.
JW and LM are funded by Cancer Research UK. The funders played no role in the study.
- Goffman E: Stigma: notes on the management of spoiled identity. 1963, Englewood Cliffs, New Jersey: Prentice-Hall IncGoogle Scholar
- Dovidio JF, Major BA, Crocker J: Stigma: introduction and overview. The Social Psychology of Stigma. Edited by: Heatherton TF, Kleck RE, Hebl MR, Hull JG. 2000, New York: Guilford Press, 1-28.Google Scholar
- Scambler G: Health-related stigma. Sociol Health Illn. 2009, 31: 441-455. 10.1111/j.1467-9566.2009.01161.x.View ArticlePubMedGoogle Scholar
- Weiss MG, Ramakrishna J, Somma D: Health-related stigma: rethinking concepts and interventions. Psychol Health Med. 2006, 11: 277-287. 10.1080/13548500600595053.View ArticlePubMedGoogle Scholar
- Crocker J, Major B, Steele C: Social Stigma. The Handbook of Social Psychology. Edited by: Gilbert DT, Fiske ST, Lindzey G. 1998, Boston: McGraw Hill, 504-553. 4Google Scholar
- Van Brakel WH: Measuring health-related stigma–a literature review. Psychol Health Med. 2006, 11: 307-334. 10.1080/13548500600595160.View ArticlePubMedGoogle Scholar
- Wilson K, Luker KA: At home in hospital? Interaction and stigma in people affected by cancer. Soc Sci Med. 2006, 62: 1616-1627. 10.1016/j.socscimed.2005.08.053.View ArticlePubMedGoogle Scholar
- Chapple A, Ziebland S, McPherson A: Stigma, shame, and blame experienced by patients with lung cancer: qualitative study. BMJ. 2004, 328: 1470-10.1136/bmj.38111.639734.7C.View ArticlePubMedPubMed CentralGoogle Scholar
- Hamilton JB, Moore CE, Powe BD, Agarwal M, Martin P: Perceptions of support among older African American cancer survivors. Oncol Nurs Forum. 2010, 37: 484-493. 10.1188/10.ONF.484-493.View ArticlePubMedPubMed CentralGoogle Scholar
- Gray RE, Fitch M, Phillips C, Labrecque M, Fergus K: To tell or not to tell: patterns of disclosure among men with prostate cancer. Psychooncology. 2000, 9: 273-282. 10.1002/1099-1611(200007/08)9:4<273::AID-PON463>3.0.CO;2-F.View ArticlePubMedGoogle Scholar
- Chambers SK, Dunn J, Occhipinti S, Hughes S, Baade P, Sinclair S, Aitken J, Youl P, O’connell DL: A systematic review of the impact of stigma and nihilism on lung cancer outcomes. BMC Cancer. 2012, 12: 184-10.1186/1471-2407-12-184.View ArticlePubMedPubMed CentralGoogle Scholar
- Tod AM, Craven J, Allmark P: Diagnostic delay in lung cancer: a qualitative study. J Adv Nurs. 2008, 61: 336-343. 10.1111/j.1365-2648.2007.04542.x.View ArticlePubMedGoogle Scholar
- Azaiza F, Cohen M: Between traditional and modern perceptions of breast and cervical cancer screenings: a qualitative study of Arab women in Israel. Psychooncology. 2008, 17: 34-41. 10.1002/pon.1180.View ArticlePubMedGoogle Scholar
- Friedman AL, Shepeard H: Exploring the knowledge, attitudes, beliefs, and communication preferences of the general public regarding HPV: findings from CDC focus group research and implications for practice. Health Educ Behav. 2007, 34: 471-485.View ArticlePubMedGoogle Scholar
- Kwok C, Sullivan G, Cant R: The role of culture in breast health practices among Chinese-Australian women. Patient Educ Couns. 2006, 64: 268-276. 10.1016/j.pec.2006.03.003.View ArticlePubMedGoogle Scholar
- Kwok C, Sullivan G: Chinese-Australian women’s beliefs about cancer: implications for health promotion. Cancer Nurs. 2006, 29: E14-E21. 10.1097/00002820-200609000-00014.View ArticlePubMedGoogle Scholar
- Matthews AK, Berrios N, Darnell JS, Calhoun E: A qualitative evaluation of a faith-based breast and cervical cancer screening intervention for African American women. Health Educ Behav. 2006, 33: 643-663. 10.1177/1090198106288498.View ArticlePubMedGoogle Scholar
- McCaffery KJ, Forrest S, Waller J, Desai M, Szarewski A, Wardle J: Attitudes towards HPV testing: a qualitative study of beliefs among Indian, Pakistani, African Caribbean and white British women in the UK. Br J Cancer. 2003, 88: 42-46. 10.1038/sj.bjc.6600686.View ArticlePubMedPubMed CentralGoogle Scholar
- Jones EE, Farina A, Hastorf AH, Markus H, Miller DT, Scott RA: Social Stigma: The Psychology of Marked Relationships. 1984, USA: W.H. Freeman and CompanyGoogle Scholar
- Solomon S, Greenberg J, Pyszczynski T: A terror management theory of social-behavior - the psychological functions of self-esteem and cultural worldviews. Adv Exp Soc Psychol. 1991, 24: 93-159.View ArticleGoogle Scholar
- Weiner B, Perry RP, Magnusson J: An attributional analysis of reactions to stigmas. J Pers Soc Psychol. 1988, 55: 738-748.View ArticlePubMedGoogle Scholar
- Marlow LA, Waller J, Wardle J: Variation in blame attributions across different cancer types. Cancer Epidemiol Biomarkers Prev. 2010, 19: 1799-1805. 10.1158/1055-9965.EPI-09-1298.View ArticlePubMedPubMed CentralGoogle Scholar
- MacDonald LD, Anderson HR: Stigma in patients with rectal cancer: a community study. J Epidemiol Community Health. 1984, 38: 284-290. 10.1136/jech.38.4.284.View ArticlePubMedPubMed CentralGoogle Scholar
- Rosman S: Cancer and stigma: experience of patients with chemotherapy-induced alopecia. Patient Educ Couns. 2004, 52: 333-339. 10.1016/S0738-3991(03)00040-5.View ArticlePubMedGoogle Scholar
- Whatley CD: Social-attitudes toward discharged mental-patients. Soc Probl. 1959, 6: 313-320. 10.2307/799364.View ArticleGoogle Scholar
- Albrecht GL, Walker VG, Levy JA: Social distance from the stigmatized. A test of two theories. Soc Sci Med. 1982, 16: 1319-1327. 10.1016/0277-9536(82)90027-2.View ArticlePubMedGoogle Scholar
- Link BG, Cullen FT, Frank J, Wozniak JF: The social rejection of former mental-patients - understanding why labels matter. Am J Sociol. 1987, 92: 1461-1500. 10.1086/228672.View ArticleGoogle Scholar
- Taylor SM, Dear MJ: Scaling community attitudes toward the mentally ill. Schizophr Bull. 1981, 7: 225-240. 10.1093/schbul/7.2.225.View ArticlePubMedGoogle Scholar
- Thornicroft G, Brohan E, Rose D, Sartorius N, Leese M: Global pattern of experienced and anticipated discrimination against people with schizophrenia: a cross-sectional survey. Lancet. 2009, 373: 408-415. 10.1016/S0140-6736(08)61817-6.View ArticlePubMedGoogle Scholar
- Lebel S, Devins GM: Stigma in cancer patients whose behavior may have contributed to their disease. Future Oncol. 2008, 4: 717-733. 10.2217/14796618.104.22.1687.View ArticlePubMedGoogle Scholar
- Berrenberg JL: The cancer attitude inventory: development and validation. J Psychosoc Oncol. 1991, 9: 35-44. 10.1300/J077v09n02_03.View ArticleGoogle Scholar
- Johnston M, Wright SJ, Weinman J: Measures in Health Psychology: A user’s Portfolio. 1995, NFER-Nelson: WindsorGoogle Scholar
- Cataldo JK, Slaughter R, Jahan TM, Pongquan VL, Hwang WJ: Measuring stigma in people with lung cancer: psychometric testing of the cataldo lung cancer stigma scale. Oncol Nurs Forum. 2011, 38: E46-E54. 10.1188/11.ONF.E46-E54.View ArticlePubMedPubMed CentralGoogle Scholar
- Tourangeau R, Yan T: Sensitive questions in surveys. Psychol Bull. 2007, 133: 859-883.View ArticlePubMedGoogle Scholar
- Kreuter F, Presser S, Tourangeau R: Social desirability bias in CATI, IVR, And Web surveys. Public Opin Q. 2008, 72: 847-865. 10.1093/poq/nfn063.View ArticleGoogle Scholar
- Comrey AL, Lee HB: A First Course in Factor Analysis. 1992, Hillsdale, NJ: ErlbaumGoogle Scholar
- Corrigan PW, Green A, Lundin R, Kubiak MA, Penn DL: Familiarity with and social distance from people who have serious mental illness. Psychiatr Serv. 2001, 52: 953-958. 10.1176/appi.ps.52.7.953.View ArticlePubMedGoogle Scholar
- Strahan R, Gerbasi KC: Short, homogeneous versions of Marlow-crowne social desirability scale. J Clin Psychol. 1972, 28: 191-195. 10.1002/1097-4679(197204)28:2<191::AID-JCLP2270280220>3.0.CO;2-G.View ArticleGoogle Scholar
- Stubbings S, Robb K, Waller J, Ramirez A, Austoker J, Macleod U, Hiom S, Wardle J: Development of a measurement tool to assess public awareness of cancer. Br J Cancer. 2009, 101 (Suppl 2): S13-S17.View ArticlePubMedPubMed CentralGoogle Scholar
- Corrigan PW, Watson AC: This stigma of psychiatric disorders and the gender, ethncity, and education of the perciever. Community Ment Health J. 2007, 43: 439-458. 10.1007/s10597-007-9084-9.View ArticlePubMedGoogle Scholar
- Herek GM, Capitanio JP: Public reactions to AIDS in the United States: a second decade of stigma. Am J Public Health. 1993, 83: 574-577. 10.2105/AJPH.83.4.574.View ArticlePubMedPubMed CentralGoogle Scholar
- Clark LA, Watson D: Constructing validity: basic issues in objective scale development. Psychol Assess. 1995, 7: 309-319.View ArticleGoogle Scholar
- Field A: Discovering Statistics Using SPSS. 2005, London: SAGE Publications LtdGoogle Scholar
- Hu LT, Bentler PM: Cutoff criteria for Fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 1999, 6: 1-55. 10.1080/10705519909540118.View ArticleGoogle Scholar
- Sontag S: Illness as a Metaphor | AIDs and Its Metaphors. 1978, London: Penguin Books LtdGoogle Scholar
- Kelley HH: Attribution Theory in Social Psychology. Nebraska Symposium on Motivation. Volume 1. Edited by: Levine D. 1967, Lincoln: University of Nebraska Press, 192-238.Google Scholar
- Lerner MJ: The Belief in a Just World: A Fundamental Delusion. 1980, New York: PlenumView ArticleGoogle Scholar
- Corrigan PW, O'Shaughnessy JR: Changing mental illness stigma as it exists in the real world. Aust Psychol. 2007, 42: 90-97. 10.1080/00050060701280573.View ArticleGoogle Scholar
- Shrum J, Turner N, Bruce K: Development of an instrument to measure attitudes toward acquired immune deficiency syndrome. AIDS Educ Prev. 1989, 1: 222-230.PubMedGoogle Scholar
- Angermeyer M, Matschinger H: The effect of personal experience with mental illness on the attitude towards individuals suffering from mental disorders. Soc Psychiatry Psychiatr Epidemiol. 1996, 31: 321-326. 10.1007/BF00783420.View ArticlePubMedGoogle Scholar
- Angermeyer M, Matschinger H: The stigma of mental illness: effects of labelling on public attitudes towards people with mental disorder. Acta Psychiatr Scand. 2003, 108: 304-309. 10.1034/j.1600-0447.2003.00150.x.View ArticlePubMedGoogle Scholar
- Chapple A, Ziebland S, McPherson A, Summerton N: Lung cancer patients’ perceptions of access to financial benefits: a qualitative study. Br J Gen Pract. 2004, 54: 589-594.PubMedPubMed CentralGoogle Scholar
- Office for National Statistics. Internet access quarterly update, Q2 2013 [accessed 14th February 2013]. Available from: http://www.ons.gov.uk/ons/rel/rdit2/internet-access-quarterly-update/q2-2013/stb-ia-q2-2013.html
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/14/285/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.