Unknown

Dataset Information

0

Exploring UK medical school differences: the MedDifs study of selection, teaching, student and F1 perceptions, postgraduate outcomes and fitness to practise.


ABSTRACT: BACKGROUND:Medical schools differ, particularly in their teaching, but it is unclear whether such differences matter, although influential claims are often made. The Medical School Differences (MedDifs) study brings together a wide range of measures of UK medical schools, including postgraduate performance, fitness to practise issues, specialty choice, preparedness, satisfaction, teaching styles, entry criteria and institutional factors. METHOD:Aggregated data were collected for 50 measures across 29 UK medical schools. Data include institutional history (e.g. rate of production of hospital and GP specialists in the past), curricular influences (e.g. PBL schools, spend per student, staff-student ratio), selection measures (e.g. entry grades), teaching and assessment (e.g. traditional vs PBL, specialty teaching, self-regulated learning), student satisfaction, Foundation selection scores, Foundation satisfaction, postgraduate examination performance and fitness to practise (postgraduate progression, GMC sanctions). Six specialties (General Practice, Psychiatry, Anaesthetics, Obstetrics and Gynaecology, Internal Medicine, Surgery) were examined in more detail. RESULTS:Medical school differences are stable across time (median alpha?=?0.835). The 50 measures were highly correlated, 395 (32.2%) of 1225 correlations being significant with p 

SUBMITTER: McManus IC 

PROVIDER: S-EPMC7222458 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Exploring UK medical school differences: the MedDifs study of selection, teaching, student and F1 perceptions, postgraduate outcomes and fitness to practise.

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

BMC medicine 20200514 1


<h4>Background</h4>Medical schools differ, particularly in their teaching, but it is unclear whether such differences matter, although influential claims are often made. The Medical School Differences (MedDifs) study brings together a wide range of measures of UK medical schools, including postgraduate performance, fitness to practise issues, specialty choice, preparedness, satisfaction, teaching styles, entry criteria and institutional factors.<h4>Method</h4>Aggregated data were collected for 5  ...[more]

Similar Datasets

| S-EPMC5504664 | biostudies-other
| S-EPMC7482317 | biostudies-literature
| S-EPMC5887261 | biostudies-literature
| S-EPMC4416499 | biostudies-literature
| S-EPMC9250364 | biostudies-literature
| S-EPMC7312983 | biostudies-literature
| S-EPMC4439831 | biostudies-other
| S-EPMC7058994 | biostudies-literature
| S-EPMC7798658 | biostudies-literature
| S-EPMC7995165 | biostudies-literature