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. 2020 May 14;18(1):126.
doi: 10.1186/s12916-020-01571-4.

The Analysis of Teaching of Medical Schools (AToMS) survey: an analysis of 47,258 timetabled teaching events in 25 UK medical schools relating to timing, duration, teaching formats, teaching content, and problem-based learning

Oliver Patrick Devine  1 Andrew Christopher Harborne  2 Hugo Layard Horsfall  3 Tobin Joseph  1 Tess Marshall-Andon  4 Ryan Samuels  5 Joshua William Kearsley  6 Nadine Abbas  7 Hassan Baig  8 Joseph Beecham  9 Natasha Benons  10 Charlie Caird  11 Ryan Clark  12 Thomas Cope  13 James Coultas  14 Luke Debenham  15 Sarah Douglas  16 Jack Eldridge  17 Thomas Hughes-Gooding  18 Agnieszka Jakubowska  19 Oliver Jones  20 Eve Lancaster  15 Calum MacMillan  21 Ross McAllister  22 Wassim Merzougui  7 Ben Phillips  23 Simon Phillips  24 Omar Risk  25 Adam Sage  26 Aisha Sooltangos  27 Robert Spencer  28 Roxanne Tajbakhsh  29 Oluseyi Adesalu  5 Ivan Aganin  17 Ammar Ahmed  30 Katherine Aiken  26 Alimatu-Sadia Akeredolu  26 Ibrahim Alam  8 Aamna Ali  29 Richard Anderson  4 Jia Jun Ang  5 Fady Sameh Anis  22 Sonam Aojula  5 Catherine Arthur  17 Alena Ashby  30 Ahmed Ashraf  8 Emma Aspinall  23 Mark Awad  10 Abdul-Muiz Azri Yahaya  8 Shreya Badhrinarayanan  17 Soham Bandyopadhyay  24 Sam Barnes  31 Daisy Bassey-Duke  10 Charlotte Boreham  5 Rebecca Braine  24 Joseph Brandreth  22 Zoe Carrington  30 Zoe Cashin  17 Shaunak Chatterjee  15 Mehar Chawla  9 Chung Shen Chean  30 Chris Clements  32 Richard Clough  5 Jessica Coulthurst  30 Liam Curry  31 Vinnie Christine Daniels  5 Simon Davies  5 Rebecca Davis  30 Hanelie De Waal  17 Nasreen Desai  30 Hannah Douglas  16 James Druce  5 Lady-Namera Ejamike  1 Meron Esere  24 Alex Eyre  5 Ibrahim Talal Fazmin  4 Sophia Fitzgerald-Smith  10 Verity Ford  7 Sarah Freeston  33 Katherine Garnett  26 Whitney General  10 Helen Gilbert  5 Zein Gowie  7 Ciaran Grafton-Clarke  30 Keshni Gudka  22 Leher Gumber  17 Rishi Gupta  1 Chris Harlow  3 Amy Harrington  7 Adele Heaney  26 Wing Hang Serene Ho  30 Lucy Holloway  5 Christina Hood  5 Eleanor Houghton  22 Saba Houshangi  9 Emma Howard  14 Benjamin Human  29 Harriet Hunter  4 Ifrah Hussain  11 Sami Hussain  1 Richard Thomas Jackson-Taylor  5 Bronwen Jacob-Ramsdale  26 Ryan Janjuha  9 Saleh Jawad  7 Muzzamil Jelani  5 David Johnston  4 Mike Jones  34 Sadhana Kalidindi  10 Savraj Kalsi  13 Asanish Kalyanasundaram  4 Anna Kane  5 Sahaj Kaur  4 Othman Khaled Al-Othman  8 Qaisar Khan  8 Sajan Khullar  14 Priscilla Kirkland  16 Hannah Lawrence-Smith  30 Charlotte Leeson  9 Julius Elisabeth Richard Lenaerts  22 Kerry Long  35 Simon Lubbock  22 Jamie Mac Donald Burrell  16 Rachel Maguire  5 Praveen Mahendran  30 Saad Majeed  8 Prabhjot Singh Malhotra  13 Vinay Mandagere  10 Angelos Mantelakis  3 Sophie McGovern  5 Anjola Mosuro  10 Adam Moxley  5 Sophie Mustoe  25 Sam Myers  1 Kiran Nadeem  27 Reza Nasseri  10 Tom Newman  4 Richard Nzewi  31 Rosalie Ogborne  3 Joyce Omatseye  30 Sophie Paddock  9 James Parkin  3 Mohit Patel  13 Sohini Pawar  4 Stuart Pearce  3 Samuel Penrice  21 Julian Purdy  5 Raisa Ramjan  9 Ratan Randhawa  1 Usman Rasul  8 Elliot Raymond-Taggert  10 Rebecca Razey  11 Carmel Razzaghi  26 Eimear Reel  26 Elliot John Revell  5 Joanna Rigbye  16 Oloruntobi Rotimi  1 Abdelrahman Said  9 Emma Sanders  10 Pranoy Sangal  34 Nora Sangvik Grandal  13 Aadam Shah  8 Rahul Atul Shah  4 Oliver Shotton  24 Daniel Sims  17 Katie Smart  9 Martha Amy Smith  5 Nick Smith  9 Aninditya Salma Sopian  5 Matthew South  22 Jessica Speller  31 Tom J Syer  9 Ngan Hong Ta  9 Daniel Tadross  29 Benjamin Thompson  13 Jess Trevett  13 Matthew Tyler  5 Roshan Ullah  15 Mrudula Utukuri  4 Shree Vadera  1 Harriet Van Den Tooren  27 Sara Venturini  36 Aradhya Vijayakumar  31 Melanie Vine  31 Zoe Wellbelove  13 Liora Wittner  1 Geoffrey Hong Kiat Yong  5 Farris Ziyada  25 I C McManus  37
Affiliations

The Analysis of Teaching of Medical Schools (AToMS) survey: an analysis of 47,258 timetabled teaching events in 25 UK medical schools relating to timing, duration, teaching formats, teaching content, and problem-based learning

Oliver Patrick Devine et al. BMC Med. .

Abstract

Background: What subjects UK medical schools teach, what ways they teach subjects, and how much they teach those subjects is unclear. Whether teaching differences matter is a separate, important question. This study provides a detailed picture of timetabled undergraduate teaching activity at 25 UK medical schools, particularly in relation to problem-based learning (PBL).

Method: The Analysis of Teaching of Medical Schools (AToMS) survey used detailed timetables provided by 25 schools with standard 5-year courses. Timetabled teaching events were coded in terms of course year, duration, teaching format, and teaching content. Ten schools used PBL. Teaching times from timetables were validated against two other studies that had assessed GP teaching and lecture, seminar, and tutorial times.

Results: A total of 47,258 timetabled teaching events in the academic year 2014/2015 were analysed, including SSCs (student-selected components) and elective studies. A typical UK medical student receives 3960 timetabled hours of teaching during their 5-year course. There was a clear difference between the initial 2 years which mostly contained basic medical science content and the later 3 years which mostly consisted of clinical teaching, although some clinical teaching occurs in the first 2 years. Medical schools differed in duration, format, and content of teaching. Two main factors underlay most of the variation between schools, Traditional vs PBL teaching and Structured vs Unstructured teaching. A curriculum map comparing medical schools was constructed using those factors. PBL schools differed on a number of measures, having more PBL teaching time, fewer lectures, more GP teaching, less surgery, less formal teaching of basic science, and more sessions with unspecified content.

Discussion: UK medical schools differ in both format and content of teaching. PBL and non-PBL schools clearly differ, albeit with substantial variation within groups, and overlap in the middle. The important question of whether differences in teaching matter in terms of outcomes is analysed in a companion study (MedDifs) which examines how teaching differences relate to university infrastructure, entry requirements, student perceptions, and outcomes in Foundation Programme and postgraduate training.

Keywords: Clinical teaching; Lectures; Medical school differences; Problem-based learning; Self-regulated learning; Teaching styles; Timetables; Tutorials.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Start and end times of teaching events: a start time on logarithmic scale (red) (inset: start time on linear scale (green)), b duration in hours (grey), and c start and end time (blue). In c, note that some events start on 1 day and finish on the next
Fig. 2
Fig. 2
Average hours of the different teaching formats for a student at a typical medical school by medical school year. For each teaching format, the 2-year groups with the highest amount of teaching are in blue, with the highest value underlined. Green shading denotes totals of over 200 h. The two groups of teaching formats designate those that are mostly basic medical sciences and mostly clinical, respectively
Fig. 3
Fig. 3
Average hours of teaching for the different teaching contents for a student at a typical medical school by medical school year. For each teaching content, the 2-year groups with the highest amount of teaching are in blue, with the highest value underlined. Green shading denotes totals of over 150 h. The two groups of teaching contents designate those that are mostly basic medical sciences and mostly clinical, respectively. Note that SSCs and electives are not included as they are not allocated to particular years
Fig. 4
Fig. 4
Total hours of teaching at the 25 UK medical schools. Times are stacked for years 1, 2, 3, 4, and 5, followed by SSCs and electives, all based on the AToMS survey. Schools are sorted by total teaching time in the AToMS study. These are followed by estimates of self-regulated learning; see text for details
Fig. 5
Fig. 5
Teaching at individual medical schools. Number of hours of teaching in terms of teaching format (upper) and teaching content (lower). Format and content are ordered in the same way as in Figs. 1 and 2. Medical schools are structured in terms of non-PBL and PBL schools, with schools sorted alphabetically within groups. Within entire rows, colours indicate the highest number of teaching hours (red) and the lowest number of teaching hours (blue). The final column marked CV shows the coefficient of variation; values > 80% are shown in red
Fig. 6
Fig. 6
Teaching formats and contents at PBL and non-PBL schools. Average (SD; median) hours of teaching for the different teaching format and content areas for an average student at the ten PBL schools and the fifteen non-PBL schools. Differences significant on the t test (p < .05) are shown in colour, red indicating the group with the greater amount of teaching and green the lesser amount of teaching. t tests take account of differing variances, and significant results are shown in bold
Fig. 7
Fig. 7
Curriculum map of formats and contents. a Top: loadings of teaching measures on the first two factors with format measures in red and content measures in green. b Bottom: scores of medical schools on the first two factors: blue—PBL schools, black—non-PBL schools
Fig. 8
Fig. 8
Hours of PBL teaching for individual medical schools. Scores of PBL (blue) and non-PBL schools (black) on the first factor (PBL vs traditional) in relation to timetabled hours of PBL teaching (vertical). The fitted line is a Loess curve
Fig. 9
Fig. 9
Validation of hours of teaching in the Teaching Survey with hours of teaching in the HEPI Student Academic Experience Survey. Pearson correlations based on 24 medical schools. *p < .05; **p < .001. Correlations greater than an arbitrary level of 0.3 shown in green and correlations less than an arbitrary level of − 0.3 shown in red

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