| Literature DB >> 24817168 |
Ana Barros1, Luís Moreira2, Helena Santos3, Nuno Ribeiro4, Luís Carvalho4, Filipe Santos-Silva5.
Abstract
Cancer is one of the leading causes of death worldwide, and thus represents a priority for national public health programs. Prevention has been assumed as the best strategy to reduce cancer burden, however most cancer prevention programs are implemented by healthcare professionals, which constrain range and educational impacts. We developed an innovative approach for cancer prevention education focused on high-school biology teachers, considered privileged mediators in the socialization processes. A training program, "Cancer, Educate to Prevent" was applied, so that the teachers were able to independently develop and implement prevention campaigns focused on students and school-related communities. The program encompassed different educational modules, ranging from cancer biology to prevention campaigns design. Fifty-four teachers were empowered to develop and implement their own cancer prevention campaigns in a population up to five thousands students. The success of the training program was assessed through quantitative evaluation--questionnaires focused on teachers' cancer knowledge and perceptions, before the intervention (pre-test) and immediately after (post-test). The projects developed and implemented by teachers were also evaluated regarding the intervention design, educational contents and impact on the students' knowledge about cancer. This study presents and discusses the results concerning the training program "Cancer, Educate to Prevent" and clearly shows a significant increase in teacher's cancer literacy (knowledge and perceptions) and teachers' acquired proficiency to develop and deliver cancer prevention campaigns with direct impact on students' knowledge about cancer. This pilot study reinforces the potential of high-school teachers and schools as cancer prevention promoters and opens a new perspective for the development and validation of cancer prevention education strategies, based upon focused interventions in restricted targets (students) through non-health professionals (teachers).Entities:
Mesh:
Year: 2014 PMID: 24817168 PMCID: PMC4016009 DOI: 10.1371/journal.pone.0096672
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Reasons why teachers choose the training programs attended before the academic year 2011/2012 and the training program Cancer, Educate to Prevent (n = 62).
The main reasons selected by teachers to participate in the training programs before 2011/2012 were: 94.4% (51) knowledge acquisition; 75.9% (41) personal motivation (71%) and 16.7% (9) credits granted.
Pre-test and post-test results on teachers' self-perception and knowledge about cancer (n = 56).
| Pre-test | Post-test | Post-test - Pre-test | |||||
| Mean (%) | SD | Mean (%) | SD | Dif. | p-value | ||
| Perceptions | Cancer Biology | 56.8 | 18.8 | 86.3 | 12.1 | 29.5 | <0.001 |
| Cancer Prevention | 61.8 | 21.1 | 92.7 | 8.8 | 30.9 | <0.001 | |
| Cancer Epidemiology | 38.8 | 21.8 | 86.3 | 13.0 | 47.5 | <0.001 | |
| Scientific Literature Databases | 36.4 | 22.8 | 85.2 | 13.5 | 48.8 | <0.001 | |
| Global | 53.5 | 17.0 | 86.8 | 10.8 | 33.4 | <0.001 | |
| Knowledge | Cancer Biology | 51.0 | 18.0 | 87.7 | 6.3 | 36.7 | <0.001 |
| Cancer Prevention | 81.7 | 19.4 | 98.9 | 4.5 | 17.2 | <0.001 | |
| Cancer Epidemiology | 56.3 | 23.0 | 89.3 | 18.1 | 33.0 | <0.001 | |
| Scientific Literature Databases | 43.8 | 34.5 | 99.1 | 6.7 | 55.4 | <0.001 | |
| Global | 60.1 | 12.1 | 91.9 | 4.5 | 31.8 | <0.001 | |
Pre-test versus Post-test: Related-Samples Wilcoxon Signed Rank Test.
Overall weighted mean (according to the number of items in each topic).
Difference between the Post-test Mean and the Pre-test Mean (in %).
Topics comparison: Perceptions, Knowledge, Pre-test and post-test (n = 56).
| Pre-test | Post-test | ||||||||
| p-value | p-values | p-value | p-values | ||||||
| CB | CP | CE | CB | CP | CE | ||||
| Perceptions | Cancer Prevention | <0.001 | 1.000 | – | – | <0.001 | 0.001 | – | |
| Cancer Epidemiology | <0.001 | <0.001 | – | 1.000 | <0.001 | – | |||
| Scientific Literature Databases | <0.001 | <0.001 | 1.000 | 1.000 | <0.001 | 1.000 | |||
| Knowledge | Cancer Prevention | <0.001 | <0.001 | – | <0.001 | <0.001 | – | ||
| Cancer Epidemiology | 0.265 | <0.001 | – | <0.001 | 0.069 | – | |||
| Scientific Literature Databases | 1.000 | <0.001 | 0.554 | <0.001 | 1.000 | 0.036 | |||
Related Samples Friedman's Two-Way Analysis of Variance by Ranks.
Corrected p-values from Pairwise Tests.
*CB – Cancer Biology, CP – Cancer Prevention, CE – Cancer Epidemiology.
Teachers' Perception versus Knowledge (n = 56).
| Pre-Test | Post-Test | |||
| Knowledge % - Perception % | p-value | Knowledge % - Perception % | p-value | |
| Cancer Biology | -5.8 | 0.043 | 1.4 | 0.778 |
| Cancer Prevention | 19.9 | <0.001 | 6.3 | <0.001 |
| Cancer Epidemiology | 17.5 | <0.001 | 3.0 | 0.331 |
| Scientific Literature Databases | 7.3 | 0.168 | 13.9 | <0.001 |
| Global | 6.6 | 0.003 | 5.0 | 0.001 |
Related-Samples Wilcoxon Signed Rank Test.
Overall weighted mean (according to the number of items in each topic).
Figure 2Teachers' self-perceptions about cancer.
This figure shows the teachers' self-perceptions regarding the pre-test and the post-test. Results are shown in four main subjects (Cancer Biology, Prevention, Epidemiology and Scientific Literature Databases and Global perception).
Figure 3Teachers' knowledge about cancer.
This figure shows the teachers' knowledge regarding the pre-test and the post-test. Results are shown in four main subjects (Cancer Biology, Prevention, Epidemiology and Scientific Literature Databases and Global perception).
Pre-test and post-test results on Students' knowledge about cancer.
| Experimental Group (N = 385) | Control Group (N = 236) | ||||||||||||
| Pre-test | Post-test | Post-test - Pre-test | Pre-test | Post-test | Post-test - Pre-test | ||||||||
| Mean (%) | SD | Mean (%) | SD | Dif. | p-value | Mean (%) | SD | Mean (%) | SD | Dif. | p-value | p-value | |
| Cervical Cancer | 54.1 | 32.0 | 56.8 | 32.0 | 2.7 | 0.071 | 40.5 | 26.0 | 45.7 | 28.4 | 5.2 | 0.001 | 0.374 |
| Breast Cancer | 58.3 | 22.2 | 62.9 | 21.0 | 4.6 | <0.001 | 52.3 | 19.2 | 55.1 | 20.5 | 2.8 | 0.058 | 0.343 |
| Colorectal Cancer | 32.1 | 23.5 | 39.9 | 28.0 | 7.8 | <0.001 | 20.7 | 18.3 | 22.6 | 19.3 | 1.9 | 0.153 | 0.012 |
| Skin Cancer | 60.3 | 22.1 | 66.4 | 23.6 | 6.2 | <0.001 | 60.6 | 23.8 | 59.9 | 24.0 | -0.7 | 0.680 | 0.006 |
| Global | 51.3 | 15.4 | 56.7 | 16.5 | 5.3 | <0.001 | 43.6 | 13.7 | 45.9 | 15.5 | 2.3 | 0.006 | 0.009 |
Intra-group comparison: Pre-test versus Post-test (Related-Samples Wilcoxon Signed Rank Test).
Overall weighted mean (according to the number of items in each topic).
Difference between the Post-test Mean and the Pre-test Mean (in %).
Inter-group comparison: Difference in Experimental Group versus Difference in Control Group (Independent-Samples Mann-Whitney U Test).
SWOT Table.
| Internal origin (Attributes of the system) | Strengths | Weaknesses |
| B-learning training. | Timing (period in which the training took place). | |
| Development of autonomous (and adapted to a specific school community and context) projects to implement at their schools. | Being an extra activity of the school curricula despite the existence of mandatory Health Education programs at Portuguese schools. | |
| Fast and effective support of the trainers. | Extension and technical language of the podcasts used in e-learning sessions. | |
| Target population (Biology Teachers). | Amount of work required. | |
| Short period of time for project implementation in schools. |
This table was built considering the evaluation of the training program made by the teachers in which concerns to the strengths and weaknesses, opportunities and threats. It describes some aspects that could be improved in further editions (see Weaknesses) and new ideas that can help teachers to reinforce their role in health education (see opportunities). It is also important to maintain the main structure adopted (methodology) for new editions (see Strengths). The threats found are due to a context of a social and economic crisis that is affecting Portugal.