Abstract
Objectives
Raising cancer awareness and addressing barriers to help‐seeking may improve early diagnosis. The aim was to assess whether a psycho‐educational intervention increased adolescents' cancer awareness and addressed help‐seeking barriers.
Methods
This was a cluster randomised controlled trial involving 2173 adolescents in 20 schools. The intervention was a 50‐min presentation delivered by a member of Teenage Cancer Trust's (UK charity) education team. Schools were stratified by deprivation and roll size and randomly allocated to intervention/control conditions within these strata. Outcome measures were the number of cancer warning signs and cancer risk factors recognised, help‐seeking barriers endorsed and cancer communication. Communication self‐efficacy and intervention fidelity were also assessed.
Results
Regression models showed significant differences in the number of cancer warning signs and risk factors recognised between intervention and control groups. In intervention schools, the greatest increases in recognition of cancer warning signs at 6‐month follow‐up were for unexplained weight loss (from 44.2% to 62.0%) and change in the appearance of a mole (from 46.3% to 70.7%), up by 17.8% and 24.4%, respectively. Greatest increases in recognition of cancer risk factors were for getting sunburnt more than once as a child (from 41.0% to 57.6%) and being overweight (from 42.7% to 55.5%), up by 16.6% and 12.8%, respectively. Regression models showed that adolescents in intervention schools were 2.7 times more likely to discuss cancer at 2‐week follow‐up compared with the control group. No differences in endorsement of barriers to help‐seeking were observed.
Conclusions
School‐based brief psycho‐educational interventions are easy to deliver, require little resource and improve cancer awareness. © 2015 The Authors. Psycho‐Oncology published by John Wiley & Sons Ltd.
Background
UK governments aim to improve cancer survival by increasing the proportion of people with early diagnosis 1. One strategy is raising public cancer awareness 2, 3, 4, 5.
There are few cancer awareness interventions for adolescents 6. Individual‐level interventions to improve cancer awareness among adults have small effects 7. One study found that women who received an intensive intervention (tailored written information, newsletter at 12 months and two telephone counselling sessions) were more likely to give the correct answer to a question about age‐related breast cancer risk compared with those with usual care (32% vs 20%) at 2‐year follow‐up 8. However, whether this represents an increase in knowledge is uncertain because baseline assessments were not reported. Another study found that skin cancer knowledge was significantly higher after 6 months among people receiving an interactive computer programme compared with people not receiving the programme 9. However, mean scores were similar for both groups at baseline and follow‐up. Another study found that knowledge of oral cancer was significantly higher after 8 weeks among people receiving a leaflet compared with people not receiving a leaflet 10. Nonetheless, median scores were similar and increased for both groups.
Interventions informed by the Common Sense Model aim to influence cognitive and emotional representations of cancer, thereby changing help‐seeking behaviour 11, 12. Communication is also important because difficulty talking to a doctor is a barrier to seeking medical help about cancer 13. A determinant of adolescents seeking medical help is their communication with parents about cancer 14. Interventions may be able to improve adolescent help‐seeking behaviour by increasing cancer communication self‐efficacy 15, 16. In addition, baseline self‐efficacy as well as positive or negative changes in baseline self‐efficacy for a specific health behaviour can mediate health outcomes independently and may predict adoption or maintenance of disease management behaviours, including help‐seeking 17, 18.
The possibility of raising adolescent cancer awareness and addressing barriers to seeking medical help about cancer by a simple school‐based brief intervention is tantalising because they are relatively easy to implement and do not require large investments in human resources and materials. Given the potential low cost and ease of implementing brief interventions, a critical question is whether they are effective.
In this paper, we report the results of a cluster randomised controlled trial (RCT) of a school‐based brief psycho‐educational intervention to raise adolescents' cancer awareness and address barriers to seeking medical help (primary outcomes) and cancer communication.
Methods
Trial design
A cluster RCT was chosen to prevent contamination and selection bias 19. Clusters were schools. Full details of the trial design are available in the published protocol 20. There was no deviation from the published protocol after trial commencement.
Participants
All 29 mainstream state high schools in Glasgow were invited by letter to participate; 20 schools (69.0%) were recruited. Three schools informed a researcher that they did not wish to participate, and six schools did not respond to a maximum of three telephone calls. The composition of non‐participating schools was not different from participating schools.
The study focused on early adolescence (12/13 years) because it is a key life stage transition. In this age group, 3223 adolescents were on the school register in trial schools. Parents/carers were sent a letter and information sheet about the study, which included a form to be returned to school if they wished to opt their child out of the study. No parent/carer refused to allow their child to participate. Adolescents were provided with an information sheet about the study when baseline measurements were undertaken and were asked to give written consent to their participation. Two thousand and one hundred seventy‐three (67.4%) consented to trial participation and baseline data collection.
Intervention
The intervention 20 was amended from a previously evaluated intervention 6 to place greater emphasis on increasing adolescents' communicative self‐efficacy by including role‐play and homework and on addressing barriers to seeking help from a doctor by including a short film. Table 1 provides a summary of the intervention following Template for Intervention Description and Replication guidelines 21.
Table 1.
Template for Intervention Description and Replication checklist
| Item | Description | Intervention | ||
|---|---|---|---|---|
| Brief name | ||||
| 1. | Title | Adolescent Cancer Education | ||
| Why | ||||
| 2. | Theory | Social cognitive theory was used to modify an existing and previously evaluated school‐based cancer awareness intervention to increase adolescents' communicative self‐efficacy through the following change techniques: | ||
| Information source | Change techniques | |||
| 1. | Performance attainments: mastering the skill of cancer communication | Homework to enhance family communication about cancer | ||
| 2. | Vicarious experience: exposure to young people of a similar age who have mastered the task of cancer communication | Video clips of young people talking about cancer | ||
| 3. | Verbal persuasion: exposure to an empathetic and knowledgeable educator | Video clips explaining why it is good to talk to parents about your health | ||
| 4. | Physiological and affective states | Video clips addressing worries and anxieties associated with help‐seeking | ||
| The Common Sense Model of self‐regulation of health and illness also informed the intervention, for example, visual and verbal information was designed to shift cognitive and emotional representations of cancer. | ||||
| What | ||||
| 3. | Materials | • PowerPoint presentation including information on what is cancer, teenage and young adult cancer statistics, common teenage and young adult cancers, early warning signs of cancer, importance of knowing your body, talking about cancer, cancer treatment, smoking, sun safety, alcohol, physical activity, diet and Teenage Cancer Trust. | ||
|
• Three video clips of 36 s, 1 of 4 min 38 s, and 1 of 4 min 51 s in duration. • Paper‐based homework exercise for completion with parents/carers at the end of intervention delivery. | ||||
| 4. | Procedures | • PowerPoint slides are delivered in lecture style by the intervention provider with group interaction and discussion facilitated by posing questions to adolescents. | ||
| • Each video clip is played in its entirety at appropriate points during the presentation and preceded by an introduction to video content by the intervention provider and followed by group discussion. | ||||
| • The paper‐based homework exercise is distributed to adolescents at the end of intervention delivery by the intervention provider, preceded by instructions for its completion. | ||||
| Who provided | ||||
| 5. | Intervention provider | Paid educator employed by Teenage Cancer Trust with 3.5 years' experience (at point of study commencement) of delivering the unmodified intervention to adolescents with previous professional experience in health promotion. | ||
| How | ||||
| 6. | Mode of delivery | Face‐to‐face delivery to adolescents in mixed‐gender groups of between 80 and 314. | ||
| Where | ||||
| 7. | Location of delivery | Assembly hall or ‘street’ area in 10 state secondary schools in the Glasgow City Council local authority area in Scotland, UK. | ||
| When and how much | ||||
| 8. | Time | Delivered to adolescents on a single day once in each intervention school over a 15‐day period in September 2013. Intervention was 50 min in duration, depending on duration of timetabled class period. Adolescents absent from school on the day of intervention delivery were not offered the intervention on an alternative date. | ||
| Tailoring | ||||
| 9. | Planned adaptations | Intervention was not tailored for specific groups of adolescents, although less or more time was devoted to discussion to accommodate different class period duration in schools. | ||
| Modifications | ||||
| 10. | Unplanned alterations | No modifications were made to the intervention after trial commencement. | ||
| How well | ||||
| 11. | Planned | The same intervention provider delivered the intervention in all 10 intervention schools. | ||
| 12. | Actual | Intervention delivery log maintained by intervention provider. Average length of intervention was 35 min for a planned 50‐min presentation; only 20% of schools included role‐play designed to increase communication self‐efficacy, and only 30% were shown a film designed to address help‐seeking barriers. | ||
Measures
Outcomes
Primary outcomes were number of (1) cancer warning signs, (2) cancer risk factors recognised and (3) barriers to help‐seeking endorsed at 2‐week and 6‐month follow‐ups. These outcomes were assessed using the Cancer Awareness Measure 22, which has been used in previous studies of adolescent cancer awareness 4.
Recognition of signs and symptoms of cancer was assessed through a nine‐item question. The question was phrased as ‘The following may or may not be warning signs for cancer. For example, if you think that an unexplained lump or swelling could be a sign of cancer tick the Yes box, if you do not think it is tick the No box and if you don't know tick the don't know box. We are interested in your opinion’. This was followed by a list of nine warning signs. Responses were dichotomised for analysis (i.e. ‘Yes’ versus ‘No’/‘Don't know’) with Yes responses summed to derive a total recognition score.
Recognition of cancer risk factors was assessed through an 11‐item question. The question asked: ‘These are the things that can increase a person's chance of developing cancer. How much do you agree that each of these can increase a person's chance of developing cancer?’. Eleven cancer risk factors were listed. Responses were recorded on a 5‐point Likert scale that ranged from ‘strongly disagree’ to ‘strongly agree’. Responses were dichotomised for analysis (i.e. ‘strongly agree’/‘agree’ versus ‘not sure’/‘disagree’/‘strongly disagree’) with the number of ‘strongly agree/agree’ responses summed to derive a risk factor score.
Barriers to help‐seeking were assessed with 11 items, including four emotional barriers (e.g. ‘I would be worried what the doctor might find’), three practical barriers (e.g. ‘I would too busy to make time to go to the doctor’) and three service barriers (e.g. ‘I would be worried about wasting the doctor's time’). Response options were ‘Yes often’, ‘Yes sometimes’ and ‘No’, which for analysis were re‐categorised as ‘Yes’ or ‘No’. Summation of ‘Yes’ responses was used to derive a total score.
A secondary outcome was cancer communication assessed using a question adapted from our pilot study 6. Adolescents were asked if they have spoken to their mother, father or someone else about cancer in the previous 2 weeks. Response options were ‘Yes’ and ‘No’. Communication self‐efficacy was assessed by six questions (e.g. ‘I will be able to ask my parents/carers for advice about cancer’) using a 5‐point Likert scale ranging from strongly disagree to strongly agree.
Outcome assessment was conducted at baseline, 2‐week follow‐up and 6‐month follow‐up in the classroom.
Socio‐demographic characteristics
Socio‐demographic questions were included to gather data on age, gender and ethnicity. Students were also asked to tick ‘Yes’ or ‘No’ to the following question: ‘Have you, you family or close friends had cancer?’ If they answered ‘Yes’, then they were asked to indicate who had had cancer, for example, family member or friend.
Unintended consequences
One potential unintended consequence of adolescent cancer education may be heightened anxiety. Anxiety was therefore assessed using the Hospital Anxiety and Depression Scale 23, 24.
Intervention fidelity
The Teenage Cancer Trust educator kept a record of which components of the intervention she delivered and length of time for each component.
Intervention contamination
At the end of the study, head teachers of all schools were asked whether their school over the previous 12 months had invited other speakers to talk about cancer, fundraised for a cancer charity, had a member of staff or student diagnosed with cancer, invited other speakers to discuss a health issue or fundraised for a health charity.
Sample size
Sample size calculation was based on a cluster size of 10 schools with an average of 100 12‐/13‐year‐olds in each school, with a power of 90% and a two‐sided alpha of 0.05. Our previous pilot study showed a difference of 2.7 cancer warning signs recognised between control and intervention groups 6. Assuming an intraclass correlation coefficient of 0.05, a sample size of 10 schools (1000 adolescents) would have a 90% power to detect a difference of 0.5 cancer warning signs between the intervention and control groups. Actual intraclass correlation coefficient calculations for the number of cancer warning signs recognised (primary outcome) were 0.03 at 2‐week follow‐up and 0.038 at 6‐month follow‐up.
Randomisation
Recruited schools were defined as high and low deprivation by their score on the Scottish Index of Multiple Deprivation 25. Because of the skewed deprivation profile of Glasgow, which has high levels of deprivation, Scottish Index of Multiple Deprivation quintile 1 was coded as high deprivation, with quintiles 2–5 as low deprivation to create two groups. Similarly, schools were grouped as large (≥150 registered students aged 12/13) or small (<150). Schools were grouped by their deprivation and size and randomly allocated within these strata to intervention or control groups. Randomisation was undertaken by the trial statistician in June 2013 using sas 9.2 (SAS Institute, Cary, NC, USA).
Blinding
Schools were informed of their group allocation following randomisation. The Teenage Cancer Trust presenter was aware of group allocation in order to schedule school visits but was not involved in data collection or analysis. The trial statistician responsible for randomisation also conducted data analysis, alongside a second data analyst who was not involved in randomisation of schools.
Statistical methods
Data were analysed in sas 9.2. Descriptive statistics were calculated for all variables in the trial. All analyses were conducted as intention to treat on randomised participants with all available data in mixed models 26. Distributions were tested for normality and logarithmic transformations applied where appropriate. Multiple linear regression was used for all analyses of continuous variables, with baseline measure and intervention allocation included as fixed effects in adjusted models. School was added as random factor to account for cluster effect. Binary variables were analysed using logistic regression with the same model settings. Additional modifying variables to the outcome were age, gender, deprivation score, school size, ethnicity, anxiety score and communicative self‐efficacy at baseline. These variables were included in the models if they showed significance on their own but remained only when they achieved statistical significance within the model.
Ethical considerations
Study approval was obtained from the Research Ethics Committee, School of Health Sciences, University of Stirling (reference: 13/14(83)) and Glasgow City Council, Research Unit.
Results
Participant flow
Participant flow is illustrated in Figure 1.
Figure 1.

Participant flow
Of 3223 adolescents eligible for inclusion (on the school register), 2173 (67.4%) completed baseline assessment; 1129 (52.0%) were in schools randomised to the intervention group and 1044 (48.0%) in schools randomised to the control group. Data to assess between‐groups differences at 2‐week follow‐up were available for 1057 (48.6%) adolescents and at 6‐month follow‐up for 1445 (66.5%) of adolescents; 838 (38.6%) adolescents provided data at all three time points. Reasons for loss to follow‐up included student absence from school, classes not completing the survey or participant names missing on questionnaires. The proportion of loss for each of these reasons is not known.
Baseline data
At baseline, the sample included 2173 (female: n = 1102, 50.7%) adolescents with a mean age of 12.4 years (standard deviation = 0.55). Socio‐demographic characteristics of respondents are shown in Table 2.
Table 2.
Sample socio‐demographic characteristics
| Intervention (n = 1129) | Control (n = 1044) | All (n = 2173) | ||||
|---|---|---|---|---|---|---|
| % | (n) | % | (n) | % | (n) | |
| Age | ||||||
| Mean | 12.4 | 12.5 | 12.4 | |||
| [SD] | [0.49] | [0.60] | [0.55] | |||
| Gender | ||||||
| Male | 48.4 | (546) | 46.6 | (486) | 47.5 | (1032) |
| Female | 50.8 | (573) | 50.7 | (529) | 50.7 | (1102) |
| Missing | 0.9 | (10) | 2.8 | (29) | 1.8 | (39) |
| Knew someone with cancer | ||||||
| Yes | 58.8 | (664) | 57.7 | (602) | 58.3 | (1266) |
| No | 34.0 | (384) | 38.2 | (399) | 36.0 | (783) |
| Missing | 7.2 | (81) | 4.1 | (43) | 5.7 | (124) |
| Ethnicity | ||||||
| White | 80.8 | (912) | 87.5 | (914) | 84.0 | (1826) |
| BME | 18.1 | (204) | 9.8 | (102) | 14.1 | (306) |
| Mixed | 4.2 | (47) | 2.7 | (28) | 3.5 | (75) |
| Asian | 8.0 | (90) | 3.9 | (41) | 6.0 | (131) |
| Black | 3.6 | (41) | 1.5 | (16) | 2.6 | (57) |
| Chinese | 1.0 | (11) | 0.4 | (4) | 0.7 | (15) |
| Other | 1.3 | (15) | 1.2 | (13) | 1.3 | (28) |
| Missing | 1.2 | (13) | 2.7 | (28) | 1.9 | (41) |
| Deprivation (SIMD) | ||||||
| Quintile 1 | 37.0 | (418) | 39.6 | (413) | 38.2 | (831) |
| Quintiles 2–5 | 63.0 | (711) | 60.4 | (631) | 61.8 | (1342) |
| School size | ||||||
| Small (<150 students) | 21.3 | (240) | 29.6 | (309) | 25.3 | (549) |
| Large (≥150 students) | 78.7 | (889) | 70.4 | (735) | 74.7 | (1624) |
| Anxiety (HADSa) | ||||||
| Mean | 7.2 | 7.2 | 7.2 | |||
| [SD] | [4.13] | [4.28] | [4.20] | |||
BME, Black and Minority Ethnic; HADS, Hospital Anxiety and Depression Scale; SD, standard deviation; SIMD, Scottish Index of Multiple Deprivation.
Excluding 266 cases with incomplete anxiety sub‐scale data.
Baseline outcome assessment is reported in Table 3. Briefly, at baseline, adolescents in intervention schools recognised 4.2 (out of 9) cancer warning signs, recognised 4.1 (out of 11) cancer risk factors and endorsed 3.9 (out of 11) barriers to help‐seeking, and 9.1% had spoken with someone about cancer in the previous 2 weeks (Table 3).
Table 3.
Change in outcome measures
| Intervention | Control | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | 2‐week | 6‐month | Baseline | 2‐week | 6‐month | |||||||
| Outcome | Mean | [SD] | Mean | [SD] | Mean | [SD] | Mean | [SD] | Mean | [SD] | Mean | [SD] |
| Primary | ||||||||||||
| Cancer warning signs | 4.2 | [2.06] | 5.3 | [2.20] | 5.3 | [2.36] | 3.9 | [2.12] | 4.6 | [2.28] | 4.8 | [2.48] |
| Cancer risk factors | 4.1 | [2.18] | 4.7 | [2.34] | 4.5 | [2.46] | 3.8 | [2.19] | 4.0 | [2.26] | 4.0 | [2.34] |
| Barriers to help‐seeking | 3.9 | [2.46] | 3.7 | [2.58] | 3.6 | [2.56] | 3.9 | [2.48] | 3.7 | [2.57] | 3.6 | [2.64] |
| Secondary | ||||||||||||
| Cancer communication [% (n)] | 9.1 | (103) | 18.0 | (115) | 8.5 | (94) | 8.0 | (84) | 8.3 | (72) | 7.5 | (78) |
| Unintended consequences | ||||||||||||
| Anxiety | 7.2 | [4.13] | 6.7 | [4.40] | 7.1 | [4.48] | 7.2 | [4.28] | 7.1 | [4.48] | 7.1 | [4.39] |
SD, standard deviation.
Effectiveness of intervention
Cancer warning sign awareness
Recognition of all nine cancer warning signs increased 2 weeks after the intervention, and the greatest increases were found for unexplained weight loss (36.2%), change in the appearance of a mole (29.7%) and unexplained pain (19.4%) (Table 4). At 6‐month follow‐up, recognition was higher than baseline for all cancer warning signs, and the greatest increases were found for unexplained weight loss (17.8%), change in the appearance of a mole (24.4%) and unexplained pain (15.6%) (Table 5). The tables show that recognition of cancer warning signs also increased in control schools. At 2‐week and 6‐month post‐baseline assessments, there was an observed increase for unexplained weight loss of 6.8% and 6%, respectively, and for change in the appearance of a mole, an increase of 9.7% and 10.8%, respectively. Changes in unexplained pain as a cancer warning sign were slightly higher among control schools compared with intervention schools at 6 months (16.3% vs 15.6%).
Table 4.
Change in cancer symptom and risk factor awareness and endorsement of barriers to help‐seeking between baseline and 2‐week follow‐up
| Outcomes | Intervention | Control | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | 2‐week follow‐up | Change | Baseline | 2‐week follow‐up | Change | |||||||
| % | n | % | n | % | n | % | n | % | n | % | n | |
| Cancer warning signs (Yes) | ||||||||||||
| Unexplained weight loss | 37.9 | 193 | 74.1 | 377 | 36.2 | 184 | 40.3 | 221 | 47.1 | 258 | 6.8 | 37 |
| Change in appearance of a mole | 43.4 | 221 | 73.1 | 372 | 29.7 | 151 | 43.8 | 240 | 53.5 | 293 | 9.7 | 53 |
| Unexplained pain | 45.6 | 232 | 65.0 | 331 | 19.4 | 99 | 37.2 | 204 | 52.6 | 288 | 15.4 | 84 |
| Cough or hoarseness | 33.0 | 168 | 45.0 | 229 | 12.0 | 61 | 31.6 | 173 | 43.6 | 239 | 12.0 | 66 |
| Sore that does not heal | 26.1 | 133 | 37.7 | 192 | 11.6 | 59 | 22.4 | 123 | 31.0 | 170 | 8.6 | 47 |
| Lump or swelling | 79.8 | 406 | 87.4 | 445 | 7.6 | 39 | 75.2 | 412 | 82.5 | 452 | 7.3 | 40 |
| Difficulty swallowing | 30.3 | 154 | 36.9 | 188 | 6.6 | 34 | 30.7 | 168 | 38.3 | 210 | 7.6 | 42 |
| Unexplained bleeding | 48.1 | 245 | 54.0 | 275 | 5.9 | 30 | 42.3 | 232 | 53.6 | 294 | 11.3 | 62 |
| Change in bowel/bladder habits | 51.9 | 264 | 55.4 | 282 | 3.5 | 18 | 57.3 | 314 | 59.9 | 328 | 2.6 | 14 |
| Cancer risk factors (strongly agree/agree) | ||||||||||||
| Being overweight | 41.0 | 209 | 67.0 | 341 | 26.0 | 132 | 42.2 | 231 | 45.1 | 247 | 2.9 | 16 |
| Getting sunburnt as a child | 41.0 | 209 | 66.9 | 341 | 25.9 | 132 | 37.6 | 206 | 48.9 | 268 | 11.3 | 62 |
| HPV infection | 14.5 | 74 | 29.7 | 151 | 15.2 | 77 | 14.9 | 82 | 26.6 | 146 | 11.7 | 64 |
| Low levels of physical activity | 23.0 | 117 | 34.0 | 173 | 11.0 | 56 | 20.1 | 110 | 20.5 | 112 | 0.4 | 2 |
| Being over 70 years old | 21.6 | 110 | 30.0 | 153 | 8.4 | 43 | 24.2 | 133 | 21.4 | 117 | −2.8 | −16 |
| Excess alcohol consumption | 40.1 | 204 | 48.3 | 246 | 8.2 | 42 | 40.9 | 224 | 43.8 | 240 | 2.9 | 16 |
| Low fruit/vegetable consumption | 9.9 | 50 | 15.9 | 81 | 6.0 | 31 | 10.1 | 55 | 9.1 | 50 | −1.0 | −5 |
| Second‐hand smoke | 54.8 | 279 | 57.8 | 294 | 3.0 | 15 | 53.7 | 294 | 57.6 | 316 | 3.9 | 22 |
| Eating red or processed meat | 14.5 | 74 | 14.9 | 76 | 0.4 | 2 | 13.1 | 72 | 13.5 | 74 | 0.4 | 2 |
| Smoking | 84.1 | 428 | 84.1 | 428 | 0.0 | 0 | 77.0 | 422 | 83.7 | 459 | 6.7 | 37 |
| Having a close relative with cancer | 33.2 | 169 | 25.7 | 131 | −7.5 | −38 | 31.3 | 171 | 30.1 | 165 | −1.2 | −6 |
| Barriers to help‐seeking (Yes) | ||||||||||||
| Emotional | ||||||||||||
| Worried about what the doctor might find | 70.3 | 358 | 68.2 | 347 | −2.1 | −11 | 70.6 | 387 | 65.5 | 359 | −5.1 | −28 |
| Too scared | 56.4 | 287 | 52.2 | 266 | −4.2 | −21 | 55.1 | 302 | 51.1 | 280 | −4.0 | −22 |
| Too embarrassed | 45.6 | 232 | 52.2 | 266 | 6.6 | 34 | 42.5 | 233 | 42.1 | 231 | −0.4 | −2 |
| Not confident to talk about symptoms | 50.8 | 259 | 42.7 | 217 | −8.1 | −42 | 44.9 | 246 | 39.3 | 215 | −5.6 | −31 |
| Practical | ||||||||||||
| Too busy | 15.2 | 77 | 16.0 | 81 | 0.8 | 4 | 19.5 | 107 | 17.3 | 95 | −2.2 | −12 |
| Other things to worry about | 16.2 | 82 | 14.7 | 75 | −1.5 | −7 | 19.1 | 105 | 19.9 | 109 | 0.8 | 4 |
| Difficult to arrange transport | 13.6 | 69 | 10.5 | 53 | −3.1 | −16 | 14.9 | 82 | 10.4 | 57 | −4.5 | −25 |
| Service | ||||||||||||
| Difficult to make an appointment | 20.6 | 105 | 20.8 | 106 | 0.2 | 1 | 20.4 | 112 | 16.4 | 90 | −4.0 | −22 |
| Worried about wasting the doctor's time | 29.0 | 148 | 29.3 | 149 | 0.3 | 1 | 27.0 | 148 | 25.0 | 137 | −2.0 | −11 |
| Difficult to talk to doctor | 29.3 | 149 | 30.4 | 155 | 1.1 | 6 | 29.8 | 163 | 26.6 | 146 | −3.2 | −17 |
| Family | ||||||||||||
| I would not want my family to find out | 34.4 | 175 | 26.4 | 134 | −8.0 | −41 | 33.2 | 182 | 31.0 | 170 | −2.2 | −12 |
Table 5.
Change in cancer symptom and risk factor awareness and endorsement of barriers to help‐seeking between baseline and 6‐month follow‐up
| Intervention | Control | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | 6‐month follow‐up | Change | Baseline | 6‐month follow‐up | Change | |||||||
| Outcomes | % | n | % | n | % | n | % | n | % | n | % | n |
| Cancer warning signs (Yes) | ||||||||||||
| Unexplained weight loss | 44.2 | 351 | 62.0 | 492 | 17.8 | 141 | 39.6 | 258 | 45.6 | 297 | 6.0 | 39 |
| Change in appearance of a mole | 46.3 | 368 | 70.7 | 561 | 24.4 | 193 | 45.6 | 297 | 56.4 | 367 | 10.8 | 70 |
| Unexplained pain | 48.6 | 386 | 64.2 | 510 | 15.6 | 124 | 38.2 | 249 | 54.5 | 355 | 16.3 | 106 |
| Cough or hoarseness | 36.3 | 288 | 53.0 | 421 | 16.7 | 133 | 31.6 | 206 | 48.1 | 313 | 16.5 | 107 |
| Sore that does not heal | 28.6 | 227 | 38.0 | 302 | 9.4 | 75 | 20.9 | 136 | 28.4 | 185 | 7.5 | 49 |
| Lump or swelling | 81.5 | 647 | 88.0 | 699 | 6.5 | 52 | 75.1 | 489 | 83.1 | 541 | 8.0 | 52 |
| Difficulty swallowing | 34.8 | 276 | 40.4 | 321 | 5.6 | 45 | 31.6 | 206 | 42.5 | 277 | 10.9 | 71 |
| Unexplained bleeding | 47.1 | 374 | 59.4 | 472 | 12.3 | 98 | 41.5 | 270 | 54.7 | 356 | 13.2 | 86 |
| Change in bowel/bladder habits | 54.4 | 432 | 62.1 | 493 | 7.7 | 61 | 57.1 | 372 | 60.4 | 393 | 3.3 | 21 |
| Cancer risk factors (strongly agree/agree) | ||||||||||||
| Being overweight | 42.7 | 339 | 55.5 | 441 | 12.8 | 102 | 39.0 | 254 | 40.2 | 262 | 1.2 | 8 |
| Getting sunburnt as a child | 41.0 | 326 | 57.6 | 458 | 16.6 | 132 | 37.7 | 246 | 41.4 | 270 | 3.7 | 24 |
| HPV infection | 16.1 | 128 | 23.8 | 189 | 7.7 | 61 | 14.9 | 97 | 29.1 | 189 | 14.2 | 92 |
| Low levels of physical activity | 25.5 | 202 | 29.1 | 231 | 3.6 | 29 | 19.1 | 124 | 21.8 | 142 | 2.7 | 18 |
| Being over 70 years old | 23.2 | 184 | 27.2 | 216 | 4.0 | 32 | 22.6 | 147 | 22.1 | 144 | −0.5 | −3 |
| Excess alcohol consumption | 44.7 | 355 | 43.1 | 342 | −1.6 | −13 | 38.4 | 250 | 40.1 | 261 | 1.7 | 11 |
| Low fruit/vegetable consumption | 13.6 | 108 | 11.8 | 94 | −1.8 | −14 | 9.6 | 62 | 7.7 | 50 | −1.9 | −12 |
| Second‐hand smoke | 59.1 | 469 | 62.1 | 493 | 3.0 | 24 | 54.6 | 356 | 58.7 | 382 | 4.1 | 26 |
| Eating red or processed meat | 16.1 | 128 | 15.7 | 124 | −0.4 | −4 | 12.8 | 83 | 10.7 | 70 | −2.1 | −13 |
| Smoking | 83.1 | 660 | 84.6 | 672 | 1.5 | 12 | 77.1 | 502 | 79.2 | 516 | 2.1 | 14 |
| Having a close relative with cancer | 34.4 | 273 | 32.7 | 259 | −1.7 | −14 | 29.6 | 193 | 39.0 | 254 | 9.4 | 61 |
| Barriers to help‐seeking (yes) | ||||||||||||
| Emotional | ||||||||||||
| Worried about what the doctor might find | 69.8 | 554 | 61.3 | 487 | −8.5 | −67 | 68.5 | 446 | 64.6 | 421 | −3.9 | −25 |
| Too scared | 54.9 | 436 | 47.7 | 379 | −7.2 | −57 | 55.7 | 363 | 51.5 | 335 | −4.2 | −28 |
| Too embarrassed | 44.3 | 352 | 45.3 | 359 | 1.0 | 7 | 43.8 | 285 | 42.3 | 275 | −1.5 | −10 |
| Not confident to talk about symptoms | 48.3 | 383 | 39.3 | 312 | −9.0 | −71 | 44.8 | 292 | 34.5 | 225 | −10.3 | −67 |
| Practical | ||||||||||||
| Too busy | 18.7 | 149 | 17.9 | 142 | −0.8 | −7 | 18.8 | 122 | 14.3 | 93 | −4.5 | −29 |
| Other things to worry about | 16.7 | 133 | 19.2 | 152 | 2.5 | 19 | 19.4 | 126 | 16.9 | 110 | −2.5 | −16 |
| Difficult to arrange transport | 12.5 | 99 | 8.9 | 70 | −3.6 | −29 | 13.7 | 89 | 8.8 | 57 | −4.9 | −32 |
| Service | ||||||||||||
| Difficult to make an appointment | 21.2 | 169 | 18.5 | 147 | −2.7 | −22 | 20.4 | 133 | 17.6 | 114 | −2.8 | −19 |
| Worried about wasting the doctor's time | 27.5 | 219 | 29.2 | 232 | 1.7 | 13 | 26.6 | 173 | 26.4 | 172 | −0.2 | −1 |
| Difficult to talk to doctor | 26.9 | 213 | 25.3 | 201 | −1.6 | −12 | 28.6 | 186 | 23.4 | 152 | −5.2 | −34 |
| Family | ||||||||||||
| I would not want my family to find out | 33.9 | 269 | 26.4 | 210 | −7.5 | −59 | 33.3 | 217 | 25.9 | 169 | −7.4 | −48 |
In intervention schools, adolescents recognised on average 1.1 more cancer warning signs 2 weeks after the intervention, and this increase was maintained at 6 months. In control schools, recognition increased by 0.7 warning signs at 2‐week follow‐up (Table 3). Intervention effect was greater among adolescents who recognised fewer cancer warning signs at baseline. Sub‐group analysis found that in intervention schools, recognition increased by 2.3 cancer warning signs at 2‐week follow‐up among adolescents who recognised <4 cancer warning signs at baseline compared with an increase of 0.7 among adolescents who recognised ≥4 warning signs at baseline. In control schools, a similar pattern was observed with an increase of 1.6 warning signs at 2‐week follow‐up among adolescents with lower baseline recognition and an increase of 0.1 warning signs among those with higher baseline recognition.
Multiple linear regression models showed a statistically significant difference in the number of cancer warning signs recognised in the intervention group compared with the control group at 2‐week and 6‐month follow‐ups (Table 6). Sensitivity analysis using a repeated‐measures test confirmed these findings (β = 0.672, 95% CI 0.322, 1.022; p < 0.001).
Table 6.
Adjusted linear regression models for intervention effect on primary outcomes and unintended consequences (anxiety)
| 2‐week follow‐up | 6‐month follow‐up | |||||||
|---|---|---|---|---|---|---|---|---|
| 95% CI | 95% CI | |||||||
| Outcome | β | p | Lower | Upper | β | p | Lower | Upper |
| Cancer warning signsa | 0.689 | <0.001 | 0.351 | 1.028 | 0.471 | 0.012 | 0.103 | 0.838 |
| Cancer risk factorsb | 0.711 | <0.001 | 0.447 | 0.976 | 0.277 | 0.046 | 0.001 | 0.550 |
| Barriers to help‐seekingc | 0.269 | 0.151 | −0.098 | 0.635 | 0.008 | 0.964 | −0.349 | 0.365 |
| Anxietyd | −0.030 | 0.915 | −0.579 | 0.519 | 0.246 | 0.291 | −0.211 | 0.702 |
Adjusted for number of cancer warning signs recognised at baseline and school.
Adjusted for number of cancer risk factors recognised at baseline, knew someone with cancer and school.
Adjusted for number of barriers to help‐seeking endorsed at baseline, gender, anxiety and school.
Adjusted for anxiety score at baseline, gender and school.
Cancer risk factor awareness
Recognition of nine (out of 11) cancer risk factors increased 2 weeks after the intervention, and the greatest increases were observed for being overweight (26.0%), getting sunburnt more than once as a child (25.9%) and HPV infection (15.2%) (Table 4). There was no change in recognition of smoking as a cancer risk factor at 2‐week follow‐up due to ceiling effects at baseline (Table 4), and there was a decrease in the proportion of adolescents agreeing that having a close relative with cancer was a risk factor (7.5%) (Table 4). At 6‐month follow‐up, recognition was higher than at baseline for seven (out of 11) risk factors, and the greatest increases were found for being overweight (12.8%), getting sunburnt (16.6%) and HPV infection (7.7%) (Table 5).
Adolescents recognised 0.6 more cancer risk factors 2 weeks after the intervention and 0.4 more risk factors at 6‐month follow‐up. In control schools, recognition increased by 0.2 risk factors at 2‐week follow‐up (Table 3).
Multiple linear regression models showed a statistically significant difference in the number of cancer risk factors recognised in the intervention group compared with the control group at 2‐week and 6‐month follow‐ups (Table 6). Sensitivity analysis using a repeated‐measures test confirmed these findings (β = 0.751, 95% CI 0.452, 1.049, p < 0.001).
Barriers to medical help‐seeking
There were decreases in the proportion of adolescents endorsing six (out of 11) barriers to help‐seeking 2 weeks after the intervention, and the greatest decreases were observed for not being confident to talk about symptoms (8.1%), not wanting family to find out (8.0%) and being too scared (4.2%) (Table 4). At 6‐month follow‐up, endorsement was lower than at baseline for eight (out of 11) barriers to help‐seeking, and the greatest decreases were observed for not being confident to talk about symptoms (9.0%), being worried about what the doctor might find (8.5%), not wanting family to find out (7.5%) and being too scared (7.2%) (Table 5).
Endorsement of barriers to help‐seeking decreased by 0.2 barriers 2 weeks after the intervention and by 0.3 barriers at 6‐month follow‐up. A similar pattern was observed in control schools (Table 3).
No statistically significant differences between intervention and control groups were found for endorsement of barriers to medical help‐seeking (Table 6).
Cancer communication
The proportion of adolescents in intervention schools who reported speaking to someone about cancer in the past 2 weeks increased from 9.1% at baseline to 18.0% at 2‐week follow‐up and was 8.5% at 6‐month follow‐up. At 2‐week follow‐up, there was a small increase (0.3%) in the proportion of adolescents in control schools who reported cancer communication in the previous 2 weeks and a decrease (0.5%) at 6‐month follow‐up (Table 3).
Logistic regression models showed that adolescents in intervention schools were 2.7 times more likely to discuss cancer at 2‐week follow‐up compared with the control group at 2‐week follow‐up (Table 7). There was no statistically significant difference between intervention and control groups at 6‐month follow‐up (Table 7). Communication self‐efficacy was not statistically significantly associated with cancer communication at either time point in univariate tests (p = 0.910 and p = 0.328, respectively) and therefore was not included as a mediator in the final logistic regression model.
Table 7.
Adjusted logistic regression model for intervention effect on secondary outcome (cancer communication)
| 2‐week follow‐up | 6‐month follow‐up | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95% CI | 95% CI | |||||||||||||
| Outcome | β | p | Lower | Upper | Odds ratio | Lower | Upper | β | p | Lower | Upper | Odds ratio | Lower | Upper |
| Cancer communicationa | 0.992 | 0.014 | 0.260 | 1.725 | 2.698 | 1.297 | 5.613 | −0.068 | 0.829 | −0.803 | 0.667 | 0.934 | 0.448 | 1.947 |
Adjusted for cancer communication at baseline, know someone with cancer, gender, anxiety and school.
Unintended consequences (anxiety)
Adolescents' anxiety score decreased by 0.5 in intervention schools at 2‐week follow‐up and by 0.1 at 6‐month follow‐up. In control schools, there was no change in anxiety scores at 2‐week or 6‐month follow‐up (Table 3).
No statistically significant differences between intervention and control groups were found for anxiety (Table 6).
Intervention fidelity
All intervention schools received the presentation scheduled for 50 min. The average time for the presentation was 35 min (standard deviation 4.37), which meant that the presenter was not able to deliver all intervention components. The proportion of schools that did not follow protocol is presented in Table 8. Only 20% of schools included role‐play designed to improve communication self‐efficacy, and only 30% included the film designed to address barriers to help‐seeking 20. These two components had been recently added to the intervention (see section on ‘Intervention’) and were less familiar to the presenter.
Table 8.
Proportion of schools receiving intervention components
| Learning objective | Technique | Proportion of schools (%) |
|---|---|---|
| Introduction | Verbal information on what the session is going to cover and allow people to leave if they feel uncomfortable | 100 |
| Encourage open discussion about cancer | Role‐play – young people act out a scenario with person sitting next to them and feed back to speaker | 20 |
| Encourage open discussion about cancer | True or false quiz with pupils conferring on the answers | 100 |
| Encourage open discussion about cancer | Film clip of talking openly about cancer and explaining why it is important to talk about it | 80 |
| What is cancer | Verbal and written information on basic biology of cancer, with pictures of normal and abnormal cells | 100 |
| Explanation of why cancer information is important for this age group | Verbal and written information on numbers of young people, and general population, with cancer in the UK and emotions involved with a cancer diagnosis | 100 |
| Issues around delays in diagnosis in young people with cancer | Verbal ‘story telling’ of real‐life case study; film clip | 30 |
| Signs and symptoms of cancer | Film clips of young people describing their symptoms; verbal and written description | 100 |
| Types of cancer | Written list and verbal description | 100 |
| Information about ways in which to reduce the risk of developing cancer later in life | True or false quiz about: smoking, alcohol, diet, exercise and sun safety | 100 |
| How cancer is treated and side effects of treatment | Verbal information on chemotherapy, radiotherapy and surgery | 60 |
| Information about Teenage Cancer Trust | Film and verbal information about what the charity does to help young people with cancer | 60 – verbal only no film |
| Recap key facts and challenge young people to tell family what they have learned | Parent–adolescent homework activity sheet | Recap = 60; challenge = 90 |
Intervention contamination
Eleven out of 20 schools returned the questionnaire. Only two schools had invited other speakers to talk about cancer, but eight had fundraised for cancer charities, and six had a staff member diagnosed with cancer in the previous 12 months. Nine schools had invited other speakers to talk about health issues, and six had fundraised for a health charity.
Conclusions
Adolescents in intervention schools recognised significantly more cancer warning signs and risk factors than adolescents in control schools, and cancer communication increased. Some of the percentage increases at 6 months post‐intervention compared favourably with evaluations of adult cancer awareness interventions 7, 27. We found smaller but favourable outcomes for the assessment‐only control group, which is a reminder that assessment‐only conditions may activate change. Moreover, as our study shows, schools engage in fundraising for cancer charities and invite speakers to talk about cancer and other health issues, which may explain why control schools also saw increases in cancer awareness. This study confirms that expectations of the effects of brief interventions need to be modest and realistic.
Schools provide fertile ground for public health campaigns, including cancer awareness. The effects found in our study are similar to the effects of school/college‐based brief interventions (<5‐h duration) in other health domains such as smoking 28, 29 and drug and alcohol use 30, 31, 32. Our study shows that the cancer risk factors most recalled were those most pertinent to this age group (e.g. get sunburnt as a child and HPV). Cancer awareness campaigns may therefore have greater effect if the materials used are age specific to aid retention.
This intervention aimed to alter cognitive representations of cancer. Psycho‐educational modalities are typically didactic presentations focusing on providing information and education. This psycho‐educational modality may explain the observed changes in the number of cancer warning signs and cancer risk factors recognised by adolescents in our study. Nevertheless, our study shows that increases in cancer awareness at 2 weeks post‐intervention were not retained to the same extent at 6 months. This suggests that public cancer awareness interventions across the life course may be required to maintain the effects of school‐based programmes.
The study shows no significant differences in the number of barriers to help‐seeking endorsed by adolescents in intervention and control schools. The intervention's short film where a teenager with cancer talks about her experiences of diagnosis and a GP encourages young people to visit the doctor if they are worried about cancer was intended as a key component. However, because only 30% of schools were shown the film, this may explain why the intervention was not effective in reducing the number of barriers to help‐seeking. This highlights the importance of assessing intervention fidelity to interpret findings. An alternative explanation, however, is that this brief intervention did not offer sufficient dosage to impact help‐seeking. Studies about other health issues have also highlighted the limited effect of psycho‐educational modalities 33, 34. Thus, different modalities – or possibly more intensive psycho‐educational interventions – should be tested to see if they address barriers to help‐seeking about cancer during adolescence.
The intervention was designed to increase cancer communication because being able to talk about cancer is a determinant of medical help‐seeking 14. During the intervention, there was a request for adolescents to talk to each other about cancer; however, only 20% of schools had this role‐play component of the intervention delivered. These interactive elements of the intervention were designed to improve the performance of talking about cancer following Bandura's social cognitive theory 35. We therefore hypothesised that baseline communication self‐efficacy, as well as positive or negative changes in baseline communication self‐efficacy at follow‐up, would mediate the outcome of cancer communication. Although the intervention was effective in increasing cancer communication, baseline communication self‐efficacy was not associated with this outcome and neither did communication self‐efficacy change as a result of the intervention. The observed increases in cancer communication therefore cannot be attributed to communication self‐efficacy. The study suggests that while the brief psycho‐educational interventions increase cancer communication, self‐efficacy does not mediate this relationship.
Strength and limitations
A cluster RCT is one of the most robust methods for examining cause–effect relationships 36. A protocol was published 20, and a detailed a priori analysis plan was written. The trial, however, has a number of limitations. First, our results may not be generalisable. The 20 participating schools may have been particularly committed to improving cancer awareness because of the very recent changes to the Scottish national ‘Curriculum for Excellence’ that includes ‘health and well‐being’ as a strand of the curriculum 37. Second, our follow‐up period was only 6 months. Hence, we do not know if a school‐based psycho‐educational brief intervention can sustain significant long‐term effects on cancer awareness. The intervention covers signs and symptoms of all cancers including those that typically occur in older age, and adolescents may have forgotten all that they have learnt by the time they reach older age. The question remains: What is the likely long‐term benefit of raising adolescent cancer awareness? It is premature therefore to draw any conclusions regarding the long‐term effects of school‐based brief interventions. Moreover, until we know if there are any long‐term benefits, the intervention should perhaps focus on cancers that are more common during adolescence. Third, intervention fidelity was compromised, which means that the effect of the intervention if it were to be delivered as planned may be better than reported in this paper. Conversely, the findings reported here reflect the outcomes of an intervention delivered in real‐world as opposed to laboratory settings and so probably reflect what can be achieved in real‐world settings. Finally, the study is unable to show if these modest increases in cancer awareness and cancer communication are cost‐effective and clinically significant, that is, whether they impact early diagnosis and survival during adolescence and across the life course as risk of cancer increases.
Implications for practice
School‐based brief psycho‐educational interventions are easy to deliver, require very little resource and have a modest effect on cancer awareness. More intensive psycho‐educational interventions or use of different modalities may be required to address help‐seeking barriers, and interventions that are age relevant may be more effective. It is premature to draw any conclusions about lasting effects on public cancer awareness or, indeed, whether these changes impact timeliness to diagnosis.
Acknowledgements
We are grateful to the adolescents who completed questionnaires and the parents, schools and teachers who supported this work. This independent study was funded by Teenage Cancer Trust and the Scottish Government Detect Cancer Early Programme. R. D. N. receives funding from Public Health Wales and Betsi Cadwaladr University Health Board. The views expressed are not necessarily those of these organisations.
Hubbard, G. , Stoddart, I. , Forbat, L. , Neal, R. D. , O'Carroll, R. E. , Haw, S. , Rauchhaus, P. , and Kyle, R. G. (2016) School‐based brief psycho‐educational intervention to raise adolescent cancer awareness and address barriers to medical help‐seeking about cancer: a cluster randomised controlled trial. Psycho‐Oncology, 25: 760–771. doi: 10.1002/pon.4001.
Trial registration
ISRCTN75542411
References
- 1. Cancer Research UK . CR‐UK: about the national awareness and early diagnosis initiative. Available from: http://www.cancerresearchuk.org/cancer‐info/spotcancerearly/naedi/AboutNAEDI/ [Accessed 07/03/2015].
- 2. Quaife SL, Forbes LJL, Ramirez AJ et al Recognition of cancer warning signs and anticipated delay in help seeking in a population sample of adults in the UK. Br J Cancer 2013;110(1):12–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Robb K, Stubbings S, Ramirez AJ et al Public awareness of cancer in Britain: a population‐based survey of adults. Br J Cancer 2009;101(2):S18–S23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Kyle RG, Forbat L, Hubbard G. Cancer awareness among adolescents in Britain: a cross‐sectional study. BMC Public Health 2012;12:580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Forbes LJL, Simon AE, Warburton F et al The International Cancer Benchmarking Partnership Module 2 Working Group: differences in cancer awareness and beliefs between Australia, Canada, Denmark, Norway, Sweden and the UK (the International Cancer Benchmarking Partnership): do they contribute differences in cancer survival. Br J Cancer 2013;108:292–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Kyle R, Forbat L, Rauchhaus P, Hubbard G. Increased cancer awareness among British adolescents after a school‐based educational intervention: a controlled before‐and‐after study with 6‐month follow‐up. BMC Public Health 2013;13:10, 190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Austoker J, Bankhead C, Forbes LJL et al Interventions to promote cancer awareness and early presentation: systematic review. Br J Cancer 2009;101:S31–S39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Rimer BK, Halabi S, Sugg Skinner C et al Effects of a mammography decision‐making intervention at 12 and 24 months. Am J Prev Med 2002;22(4):247–257. [DOI] [PubMed] [Google Scholar]
- 9. Glazebrook C, Garrud P, Avery A, Coupland C, Williams H. Impact of a multimedia intervention ‘Skinsafe’ on patients' knowledge and protective behaviors. Prev Med 2006;42(6):449–454. [DOI] [PubMed] [Google Scholar]
- 10. Boundouki G, Humphris G, Field A. Knowledge of oral cancer, distress and screening intentions: longer term effects of a patient information leaflet. Patient Educ Couns 2004;53(1):71–77. [DOI] [PubMed] [Google Scholar]
- 11. Cameron L, Leventhal EA, Leventhal H. Seeking medical care in response to symptoms and life stress. Psychosom Med 1995;57(1):37–47. [DOI] [PubMed] [Google Scholar]
- 12. Hagger MS, Orbell S. A meta‐analytic review of the common‐sense model of illness representations. Psychol Health 2003;18(2):141–184. [Google Scholar]
- 13. Hubbard G, MacMillan I, Canny A et al Cancer symptom awareness and barriers to medical help‐seeking in Scottish adolescents: a cross‐sectional study. BMC Public Health 2014;14(1):1117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Wakefield CE, McLoone J, Fleming C et al Adolescent cancer and health‐related decision‐making: an Australian multi‐perspective family analysis of appointment attendance and involvement in medical and lifestyle choices. J Adolesc Young Adult Oncol 2012;1(4):173–180. [Google Scholar]
- 15. Bandura A. Self‐efficacy: The Exercise of Control, WH Freeman and Company: New York, 1997. [Google Scholar]
- 16. Strecher VJ, De Vellis M, Cevoy B, Becker MH, Rosenstock IM. The role of self‐efficacy in achieving health behavior change. Health Educ Behav 1986;13(1):73–79. [DOI] [PubMed] [Google Scholar]
- 17. Marks R, Allegrante JP, Lorig K. A review and synthesis of research evidence for self‐efficacy‐enhancing interventions for chronic‐disability: implications for health education practice (part I). Health Promot Pract 2005;6(2):37–43. [DOI] [PubMed] [Google Scholar]
- 18. Clark NM, Dodge JA. Exploring self‐efficacy as a predictor of disease management. Health Educ Behav 1999;26(1):72–89. [DOI] [PubMed] [Google Scholar]
- 19. Campbell MK, Mollison J, Steen N, Grimshaw JM, Eccles M. Analysis of cluster randomized trials in primary care: a practical approach. Fam Pract 2000;17(2):192–196. [DOI] [PubMed] [Google Scholar]
- 20. Kyle RG, Macmillan I, Rauchhaus P et al Adolescent Cancer Education (ACE) to increase adolescent and parent cancer awareness and communication: study protocol for a cluster randomised controlled trial. Trials 2013;14(1):286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Hoffmann T, Glasziou P, Boutron I et al Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. Br Med J 2014;348:g1687. [DOI] [PubMed] [Google Scholar]
- 22. Stubbings S, Robb K, Waller J et al Development of a measurement tool to assess public awareness of cancer. Br J Cancer 2009;101:S13–S17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Zigmond AS, Snaith R. The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand 1983;67(6):361–370. [DOI] [PubMed] [Google Scholar]
- 24. White D, Leach C, Sims R, Atkinson M, Cottrell D. Validation of the Hospital Anxiety and Depression Scale for use with adolescents. Br J Psychiatry 1999;175(5):452–454. [DOI] [PubMed] [Google Scholar]
- 25. Scottish Government . Scottish Index of Multiple Deprivation. Available from: http://www.scotland.gov.uk/Topics/Statistics/SIMD [Accessed 07/03/2015].
- 26. White IR, Carpenter J, Horton NJ. Including all individuals is not enough: lessons for intention‐to‐treat analysis. Clin Trials 2012;9(4):396–407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Ironmonger L, Ohuma E, Ormiston‐Smith N, Gildea C, Thomson CS, Peake MD. An evaluation of the impact of large‐scale interventions to raise public awareness of a lung cancer symptom. Br J Cancer 2014;112:207–216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kelly AB, Lapworth K. The HYP program – targeted motivational interviewing for adolescent violations of school tobacco policy. Prev Med 2006;43(6):466–471. [DOI] [PubMed] [Google Scholar]
- 29. Thomas RE, Perera R. School‐based programmes for preventing smoking. Cochrane Database Syst Rev 2006;3: CD00129 DOI:10.1002/14651858.CD001293.pub2. [DOI] [PubMed] [Google Scholar]
- 30. Hennessy EA, Tanner‐Smith EE. Effectiveness of brief school‐based interventions for adolescents: a meta‐analysis of alcohol use prevention programs. Prev Sci 2014. DOI:10.1007/s11121-014-0512-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Carey KB, Scott‐Sheldon LA, Carey MP, DeMartini KS. Individual‐level interventions to reduce college student drinking: a meta‐analytic review. Addict Behav 2007;32(11):2469–2494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Mitchell SG, Gryczynski J, Gonzales A et al Screening, brief intervention, and referral to treatment (SBIRT) for substance use in a school‐based program: services and outcomes. Am J Addict 2012;21(1):S5–S13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Winters KC, Fahnhorst T, Botzet A, Lee S, Lalone B. Brief intervention for drug‐abusing adolescents in a school setting: outcomes and mediating factors. J Subst Abuse Treat 2012;42(3):279–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Jensen CD, Cushing CC, Aylward BS, Craig JT, Sorell DM, Steele RG. Effectiveness of motivational interviewing interventions for adolescent substance use behavior change: a meta‐analytic review. J Consult Clin Psychol 2011;79(4):433–440. [DOI] [PubMed] [Google Scholar]
- 35. Bandura A. Self‐efficacy: toward a unifying theory of behavioral change. Psychol Rev 1977;84(2):191–215. [DOI] [PubMed] [Google Scholar]
- 36. Campbell MK, Piaggio G, Elbourne DR, Altman DG. Consort 2010 statement: extension to cluster randomised trials. BMJ 2012;354:e5661. [DOI] [PubMed] [Google Scholar]
- 37. Scottish Government . Education Scotland: curriculum areas and subjects. Available from: http://www.educationscotland.gov.uk/thecurriculum/howisthecurriculumorganised/curriculumareas/index.asp [Accessed 07/03/2015].
