Literature DB >> 17659076

Computer-based teaching is as good as face to face lecture-based teaching of evidence based medicine: a randomised controlled trial.

James Davis1, Evi Chryssafidou, Javier Zamora, David Davies, Khalid Khan, Arri Coomarasamy.   

Abstract

BACKGROUND: At postgraduate level evidence based medicine (EBM) is currently taught through tutor based lectures. Computer based sessions fit around doctors' workloads, and standardise the quality of educational provision. There have been no randomized controlled trials comparing computer based sessions with traditional lectures at postgraduate level within medicine.
METHODS: This was a randomised controlled trial involving six postgraduate education centres in the West Midlands, U.K. Fifty five newly qualified foundation year one doctors (U.S internship equivalent) were randomised to either computer based sessions or an equivalent lecture in EBM and systematic reviews. The change from pre to post-intervention score was measured using a validated questionnaire assessing knowledge (primary outcome) and attitudes (secondary outcome).
RESULTS: Both groups were similar at baseline. Participants' improvement in knowledge in the computer based group was equivalent to the lecture based group (gain in score: 2.1 [S.D = 2.0] versus 1.9 [S.D = 2.4]; ANCOVA p = 0.078). Attitudinal gains were similar in both groups.
CONCLUSION: On the basis of our findings we feel computer based teaching and learning is as effective as typical lecture based teaching sessions for educating postgraduates in EBM and systematic reviews.

Entities:  

Mesh:

Year:  2007        PMID: 17659076      PMCID: PMC3225809          DOI: 10.1186/1472-6920-7-23

Source DB:  PubMed          Journal:  BMC Med Educ        ISSN: 1472-6920            Impact factor:   2.463


Background

Lecture based teaching is common in postgraduate and continuing education. Computer based teaching sessions have advantages over lectures: they are more flexible for doctors to fit into their work and learning programme; there is the ability to pause or revisit areas of the session; they have more learner led interaction; hyperlinks and additional materials can be provided instantly for the learner; they address the issue of standardizing the quality of teaching materials across a region; and they deal with the cost and logistical difficulties of specialist lecturers teaching large numbers of students in different locations [1,2]. Existing studies of knowledge and attitudinal gain by computer based teaching have mainly been at undergraduate level [3-5]. Education of undergraduate medical students can be enhanced through the use of computer assisted learning. Educationally it would be a mistake to apply these findings to postgraduates. Many trainers mistakenly believe that the two groups learn in the same way but this is not true. Adult learning theory suggests the determinants of learning in the two groups are different [12]. Postgraduate learning is driven by self motivation and relevance to clinical practice whereas undergraduate learning is generally driven by external factors such as curriculum and examinations [12]. The two groups therefore may react differently to new teaching interventions, such as computer based teaching. Based on adult learning theory internally driven postgraduates may be more likely to adopt computer based teaching more avidly than their undergraduate counterparts who are less worried how they are taught as long as their teaching is assessment focused. For many educationalists it is perhaps a forgone conclusion that doctors will in the future do the majority of their learning through computers. Within dentistry and other allied healthcare groups there have been trials comparing different computer based learning educational interventions and other non computer based learning formats, [6-10]. Unfortunately there have been no randomised controlled trails at postgraduate level within medicine. Work is therefore necessary in the field of postgraduate medical education to provide evidence that moving across to computer based teaching will not lead to reduced quality teaching and learning experiences for our junior doctors. Randomised controlled trials can provide robust evidence of educational effectiveness [11]. Randomised trials, in education could suffer due to difficulty with standardising the educational intervention(s), contamination between the two arms of a study, inability to blind the study participants and the teachers from the educational intervention(s) leading to selective co intervention, and finally difficulty with measuring outcomes due to the lack of valid and reliable assessment tools. Some of these factors make randomised trials unfeasible in educational settings, thus necessitating other designs such as non-randomised controlled and before and after studies. Despite such difficulties randomised trials have been conducted into educational interventions with some success [12]. We carried out a randomised controlled trial comparing two methods of teaching, designed in such a way so as to avoid the problems outlined above. EBM was chosen as the teaching topic as this an important area in clinical medicine [13], in medical education evidence based practice is considered a mandatory competency for postgraduates [14], and it can be taught using computer based sessions or lectures. We hypothesized that both teaching strategies will be equally effective in increasing students' learning.

Methods

We conducted an individual randomised trial to assess the effect of teaching using self administered questionnaires before-and-after the intervention. The trial was carried out during July 2005. Exemption from obtaining ethical approval was granted by the Local and Regional Ethics Committee. The study was approved by the West Midlands Deanery. The trial compared a short computer based session with an equivalent lecture, of similar content, structure and duration, for their educational effectiveness. The intervention was CD-ROM based, but was developed in a format that could be directly uploaded onto the internet. The teaching package was developed in conjunction with the University of Birmingham's information technology department. The cost in producing the package was minimal, well within normal departmental budgets for teaching postgraduate doctors. Microsoft™ producer was used as Microsoft™ is currently the platform of most NHS operating systems and is freely available. All postgraduate centres in the U.K. West Midlands participating in the foundation program for newly qualified doctors were invited to participate in the trial. Six centres with adequate computer facilities were included. Postgraduate trainees in these centres were randomised to either computer based session or lecture using sealed envelopes prepared by the Birmingham clinical trials unit. The randomisation sequence was generated by computer and the envelopes were coded by a third party to ensure concealment of randomisation. The format of sessions at each centre consisted of: baseline questionnaire (with the initial pretest), randomization of doctors, and simultaneous administration of educational interventions in separate areas to prevent contamination followed by post intervention questionnaire. The time allocated for teaching was forty minutes and ten minutes for each questionnaire. The interventions consisted of: (A) Computer based session; and (B) Lecture based session. The content covered EBM teaching on question framing, literature searching, critical appraisal of systematic reviews and meta-analysis, and application of findings of systematic reviews. The lecture was scripted and then recorded for the computer based version. The recording was then merged with power-point slides and links using Microsoft™ producer. The computer based teaching consisted of slides, a talking head which guided the lecture, play, pause and skip options and hyperlinks to main sections within the session, this can be seen in the screenshot (see figure 4). This was delivered by uploaded CD-ROM to participants in hospital computer clusters using individual personal computers and headphones. The lecture based session consisted of exactly the same scripted material, delivered using a session plan by the same tutor, at all the centers. Every possible effort was made to ensure the lesson plans and educational content were equivalent in the two groups; the only differences related to the method of delivery.
Figure 4

Screenshot from the Evidence based medicine teaching trail.

Screenshot from the Evidence based medicine teaching trail. We developed a questionnaire for pre and post intervention measurements in knowledge and attitudes using previously validated assessment tools for evaluating EBM teaching [15-17]. From previous studies the questions we used were shown to have face and concurrent validity. The web sites linking to these questionnaires can be found in appendix 1 (see Additional file 1). Items included for knowledge assessment (primary outcome) were carefully chosen and adapted so as to achieve content validity. These were five knowledge questions (two structured questions and three multiple choice questions) with a pre-determined validated marking scheme, with a maximum score of 16. There were six attitudinal questions, previously validated for content validity, on a five point Likert scale [18]. The questionnaires were marked by an examiner blind to group allocation. Our hypothesis was that the ability of both interventions to change students' scores would be similar. Thus we defined the primary outcome to be the change (improvement) between baseline and post intervention knowledge assessments. We predefined the range of equivalence between both arms of the trial as any difference between both groups in this variable lying within 10% of the maximum score (± 1.6 points). Assuming that the standard deviation (S.D.) of the change will be 2 points, we needed 25 subjects in each group to have 80% power with a 5% type I error rate to exclude a difference between both groups greater than the equivalence threshold. We used ANCOVA to compare score changes in the two study groups, with teaching interventions as the main factor and baseline score as a covariate [19]. To estimate the difference between intervention groups, difference between least-squares means and corresponding 95% CI were calculated based on the ANCOVA model. For ordinal data (Likert scales), non parametric statistics were used. To compare the proportion of participants with attitudinal gain we used Fisher exact tests. All statistical tests were two-sided with a significance level of p < 0.05. Analyses were done using SPSS version. 12.0 (SPSS Inc.) The sponsor (West Midlands Deanery) had no input in conduct, analysis or interpretation of the study.

Results

The flow of participants throughout the trial is shown in figure 1. The baseline characteristics of the two groups are shown below in table 1. The three centres which did not meet the inclusion criteria were excluded because at the date of teaching none of these centres had adequate computer facilities to allow the trial to be run.
Figure 1

Flowchart of participants in the Evidence Based Medicine Trial.

Table 1

Baseline characteristics of participants in Evidence Based Medicine teaching trial.

Computer N = 25Lecture N = 30
n %n (%)

Access to a staffed medical/health care library25 (100)28 (93)
Access to literature via the Internet24 (96)29 (97)
Searched the literature for evidence23 (92)22 (73)
Education or training in Research methods11 (56)16 (53)
Education or training in Epidemiology9 (36)18 (60)
Education or training in Statistics9 (36)17 (57)
Personally been involved in conducting research20 (80)20 (67)

Evidence based medicine and literature review teaching is not currently part of the UK undergraduate medical curriculum.

Flowchart of participants in the Evidence Based Medicine Trial. Baseline characteristics of participants in Evidence Based Medicine teaching trial. Evidence based medicine and literature review teaching is not currently part of the UK undergraduate medical curriculum. Assessments done immediately after the interventions revealed that both groups significantly improved their scores as shown in figure 2. The changes in score in the computer based teaching group and the lecture based teaching group were 2.1 [S.D. 2.0] and 1.9 [S.D. 2.4] respectively. The difference between the least-squares means computed by ANCOVA model was 0.8 (95% CI -0.1 to 1.7) and not statistically significant (p = 0.078). The confidence interval of the difference completely excludes the lower margin of inferiority of computer based sessions pre specified (methods section). It cannot exclude at the upper margin the possibility that performance of computer based teaching was slightly better than lecture based teaching.
Figure 2

Comparison of knowledge scores achieved through computer-based session versus lecture. §Difference in least squares means (ANCOVA model). There were no differences between interventions at baseline

Comparison of knowledge scores achieved through computer-based session versus lecture. §Difference in least squares means (ANCOVA model). There were no differences between interventions at baseline Comparison of attitudinal gains between the two groups showed a similar change between baseline and post-intervention (figure 3).
Figure 3

Comparison of attitudinal gains achieved through computer-based session versus lecture. The questions used to assess attitudes were as follows: A. EBM is a passing fashion B. Systematic reviews play a key role in informing evidence-based decision-making. C. Clinical judgement is more important than EBM. D. Systematic reviews are key to informing EBM. E. Evidence-based decision-making is "health care by numbers". F. Study design is important in article selection. Responses were measured on a five points Likert scale. Attitudinal change was defined as the change between baseline and post intervention assessments. There was no statistically significant difference between the attitudinal gains achieved through two teaching strategies (Fisher exact tests).

Comparison of attitudinal gains achieved through computer-based session versus lecture. The questions used to assess attitudes were as follows: A. EBM is a passing fashion B. Systematic reviews play a key role in informing evidence-based decision-making. C. Clinical judgement is more important than EBM. D. Systematic reviews are key to informing EBM. E. Evidence-based decision-making is "health care by numbers". F. Study design is important in article selection. Responses were measured on a five points Likert scale. Attitudinal change was defined as the change between baseline and post intervention assessments. There was no statistically significant difference between the attitudinal gains achieved through two teaching strategies (Fisher exact tests).

Discussion

This trial showed that in our setting when teaching EBM and systematic reviews to postgraduates there was no difference between computer based session and lecture considering knowledge. We cannot exclude the possibility that computer based teaching may be better, but we are certain that it is not inferior to lectures. As a secondary outcome attitudinal gains were equivalent. Our study represents the first randomised trial of its kind in postgraduate medical education. We were able to comply with CONSORT [20] guidelines for reporting. There was concealment of randomisation, all interventions were delivered by the same tutor, there was no contamination of interventions, the assessment was validated and blinded, and the power was sufficient to demonstrate non-inferiority. The attendance was poor so many potentially eligible doctors did not participate. Junior doctors are currently under increasing pressure to provide service at the expense of their education. Another reason for the low attendance could be the fact that our study was entirely voluntary. Those undertaking similar trials in the future may wish to make attendance mandatory. The trial's generalisabilty may be is limited in that the educational intervention itself was brief and only looked at a specific teaching area of EBM and systematic reviews. The trials small sample size may limit its generalisabilty, but it was adequately powered to address our null hypothesis. The trail forms an important foundation for the development, adaptation and evaluation of new computer based learning techniques for wider application in postgraduate and continuing education. This emphasizes the relevance of computer based teaching which can be made available at their convenience. Our findings have implications for the way in which postgraduate trainees can be taught. Computer based learning has the potential to meet medical training needs and other professions have already started to embrace it in continuing professional education [21]. Our trial suggests that computer based teaching is a viable alternative to lectures, at least for the teaching of EBM. For those who did not attend sessions it would be available at other times, whereas lectures could not be readily repeated. This would be a massive advantage for doctors who are under constant time pressure. Computer based sessions also allow standardisation of teaching between institutions and addresses the difficulty of teaching a large number of students dispersed over different sites. Computer based learning can be made interactive to encourage better deeper learning [22]. The addition of links to material on the web or contained in other files can enhance the learning experience. With such enhancements, computer based teaching may perform even better than lectures, a hypothesis that will no doubt be subject of future research. As continuing medical education becomes more central to doctors' lives, computer based teaching is one of the ways to meet demands for knowledge.

Conclusion

Our recommendation is that computer based teaching is a ready alternative to lecture based teaching in EBM for postgraduates. We need to conduct further research to explore the wider potential of computer based learning in medical education.

Competing interests

The author(s) declare that they have no competing interests.

Authors' contributions

JD carried out the assembly of questionnaires and teaching as well as the recording of the web based teaching sessions. KK carried out assembly of the questions and validated the teaching content. AC helped assemble questionnaires and advised on randomisation techniques. EC recorded the web based teaching and assisted JD in teaching the sessions. JZ analyzed all the data and performed statistical testing as well as advising on statistical techniques. DD providing equipment for the recording of sessions as well as IT support. All authors read and approved the manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6920/7/23/prepub

Additional file 1

Berlin and Fresno questionnaire, web addresses. This file provides web links to the Berlin and Fresno evidence based medicine questionnaires. Click here for file
  20 in total

1.  Computer assisted learning in undergraduate medical education.

Authors:  T Greenhalgh
Journal:  BMJ       Date:  2001-01-06

Review 2.  Statistics notes: Analysing controlled trials with baseline and follow up measurements.

Authors:  A J Vickers; D G Altman
Journal:  BMJ       Date:  2001-11-10

3.  Development and validation of a questionnaire to evaluate the effectiveness of evidence-based practice teaching.

Authors:  R Taylor; B Reeves; R Mears; J Keast; S Binns; P Ewings; K Khan
Journal:  Med Educ       Date:  2001-06       Impact factor: 6.251

4.  Validation of the Fresno test of competence in evidence based medicine.

Authors:  Kathleen D Ramos; Sean Schafer; Susan M Tracz
Journal:  BMJ       Date:  2003-02-08

5.  Problem-based learning versus lecture-based learning in postgraduate medical education.

Authors:  Paul B Smits; Cathelijn D de Buisonjé; Jos H Verbeek; Frank J van Dijk; Jaap C Metz; Olle J ten Cate
Journal:  Scand J Work Environ Health       Date:  2003-08       Impact factor: 5.024

Review 6.  What is the evidence that postgraduate teaching in evidence based medicine changes anything? A systematic review.

Authors:  Arri Coomarasamy; Khalid S Khan
Journal:  BMJ       Date:  2004-10-30

7.  Evidence-based medicine and treatment choices.

Authors:  D L Sackett
Journal:  Lancet       Date:  1997-02-22       Impact factor: 79.321

8.  Educational strategies in curriculum development: the SPICES model.

Authors:  R M Harden; S Sowden; W R Dunn
Journal:  Med Educ       Date:  1984-07       Impact factor: 6.251

Review 9.  A review of evaluation outcomes of web-based continuing medical education.

Authors:  Vernon R Curran; Lisa Fleet
Journal:  Med Educ       Date:  2005-06       Impact factor: 6.251

10.  Randomised controlled trial of clinical decision support tools to improve learning of evidence based medicine in medical students.

Authors:  Gabriel M Leung; Janice M Johnston; Keith Y K Tin; Irene O L Wong; Lai-Ming Ho; Wendy W T Lam; Tai-Hing Lam
Journal:  BMJ       Date:  2003-11-08
View more
  34 in total

Review 1.  Is evidence-based medicine teaching and learning directed at improving practice?

Authors:  Sadia Mahmood Malick; Julie Hadley; James Davis; Khalid S Khan
Journal:  J R Soc Med       Date:  2010-05-14       Impact factor: 5.344

2.  Effectiveness of an e-learning course in evidence-based medicine for foundation (internship) training.

Authors:  Julie Hadley; Regina Kulier; Javier Zamora; Sjors F P J Coppus; Susanne Weinbrenner; Berrit Meyerrose; Tamas Decsi; Andrea R Horvath; Eva Nagy; Jose I Emparanza; Theodoros N Arvanitis; Amanda Burls; Juan B Cabello; Marcin Kaczor; Gianni Zanrei; Karen Pierer; Regina Kunz; Veronica Wilkie; David Wall; Ben Wj Mol; Khalid S Khan
Journal:  J R Soc Med       Date:  2010-06-03       Impact factor: 5.344

Review 3.  On-the-Job Evidence-Based Medicine Training for Clinician-Scientists of the Next Generation.

Authors:  Elaine Yl Leung; Sadia M Malick; Khalid S Khan
Journal:  Clin Biochem Rev       Date:  2013-08

4.  Computer aided learning to link evidence to paediatric learning and practice: a pilot in a medical school in a low income setting.

Authors:  John Sengaa; Moses Ndiritua; Juliana Osundwaa; Grace Irimua; Mike English
Journal:  Int Health       Date:  2010-09       Impact factor: 2.473

5.  Women's Health Curriculum for Internal Medicine Residents: Development, Implementation, and Evaluation.

Authors:  Laura Davisson; Michelle Nuss; Scott Cottrell
Journal:  J Grad Med Educ       Date:  2010-09

6.  A cluster randomized controlled trial to evaluate the effectiveness of the clinically integrated RHL evidence -based medicine course.

Authors:  Regina Kulier; Khalid S Khan; A Metin Gulmezoglu; Guillermo Carroli; Jose G Cecatti; Maria J Germar; Pisake Lumbiganon; Suneeta Mittal; Robert Pattinson; Jean-Jose Wolomby-Molondo; Anne-Marie Bergh; Win May
Journal:  Reprod Health       Date:  2010-05-14       Impact factor: 3.223

7.  Use of evidence-based practice among athletic training educators, clinicians, and students, part 2: attitudes, beliefs, accessibility, and barriers.

Authors:  Cailee W McCarty; Dorice A Hankemeier; Jessica M Walter; Eric J Newton; Bonnie L Van Lunen
Journal:  J Athl Train       Date:  2013-02-20       Impact factor: 2.860

8.  Online Versus In-Person Screening, Brief Intervention, and Referral to Treatment Training in Pediatrics Residents.

Authors:  Erin L Giudice; Linda O Lewin; Christopher Welsh; Taylor Berens Crouch; Katherine S Wright; Janine Delahanty; Carlo C DiClemente
Journal:  J Grad Med Educ       Date:  2015-03

9.  Teaching trainers to incorporate evidence-based medicine (EBM) teaching in clinical practice: the EU-EBM project.

Authors:  Shakila Thangaratinam; Gemma Barnfield; Susanne Weinbrenner; Berit Meyerrose; Theodoros N Arvanitis; Andrea R Horvath; Gianni Zanrei; Regina Kunz; Katja Suter; Jacek Walczak; Anna Kaleta; Katrien Oude Rengerink; Harry Gee; Ben W J Mol; Khalid S Khan
Journal:  BMC Med Educ       Date:  2009-09-10       Impact factor: 2.463

10.  The effectiveness of a clinically integrated e-learning course in evidence-based medicine: a cluster randomised controlled trial.

Authors:  Regina Kulier; Sjors F P J Coppus; Javier Zamora; Julie Hadley; Sadia Malick; Kausik Das; Susanne Weinbrenner; Berrit Meyerrose; Tamas Decsi; Andrea R Horvath; Eva Nagy; Jose I Emparanza; Theodoros N Arvanitis; Amanda Burls; Juan B Cabello; Marcin Kaczor; Gianni Zanrei; Karen Pierer; Katarzyna Stawiarz; Regina Kunz; Ben W J Mol; Khalid S Khan
Journal:  BMC Med Educ       Date:  2009-05-12       Impact factor: 2.463

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.