Literature DB >> 19120950

Using job analysis to identify core and specific competencies: implications for selection and recruitment.

Fiona Patterson1, Eamonn Ferguson, Sarah Thomas.   

Abstract

OBJECTIVE: Modern postgraduate medical training requires both accurate and reliable selection procedures. An essential first step is to conduct detailed job analysis studies. This paper reports data on a series of job analyses to develop a competency model for three secondary care specialties (anaesthesia, obstetrics and gynaecology, and paediatrics).
METHODS: Three independent job analysis studies were conducted. The content validity of the resulting competency domains was tested using a questionnaire-based study with specialty trainees (specialist registrars [SpRs]) and consultants drawn from the three specialties. Job analysis was carried out in the Yorkshire and the Humber region in the UK. The validation study was administered with additional participants from the West Midlands and Trent regions in the UK. This was an exploratory study. The outcome is a set of competency domains with data on their importance at senior house officer, SpR and consultant grade in each specialty.
RESULTS: The study produced a model comprising 14 general competency domains that were common to all the three specialties. However, there were significant between-specialty differences in both definitions of domains and the ratings of importance attached to them.
CONCLUSIONS: The results indicate that a wide range of attributes beyond clinical knowledge and academic achievement need to be considered in order to ensure doctors train and work within a specialty for which they have a particular aptitude. This has significant implications for developing selection criteria for specialty training. Future research should explore the content validity of these competency domains in other secondary care specialties.

Entities:  

Mesh:

Year:  2008        PMID: 19120950     DOI: 10.1111/j.1365-2923.2008.03174.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  16 in total

1.  Inferring signs from purposeful samples: The role of context in competency assessment.

Authors:  Marise Ph Born; Karen M Stegers-Jager; Chantal E E van Andel
Journal:  Med Educ       Date:  2021-10-05       Impact factor: 7.647

2.  A new competency model for general practice: implications for selection, training, and careers.

Authors:  Fiona Patterson; Abdol Tavabie; MeiLing Denney; Máire Kerrin; Vicki Ashworth; Anna Koczwara; Sheona MacLeod
Journal:  Br J Gen Pract       Date:  2013-05       Impact factor: 5.386

3.  Advancing a conceptual model of evidence-based practice implementation in public service sectors.

Authors:  Gregory A Aarons; Michael Hurlburt; Sarah McCue Horwitz
Journal:  Adm Policy Ment Health       Date:  2011-01

4.  The temporal rating of emergency non-technical skills (TRENT) index for self and others: psychometric properties and emotional responses.

Authors:  Eamonn Ferguson; Andy Buttery; Giulia Miles; Christina Tatalia; David D Clarke; Adam J Lonsdale; Bryn Baxendale; Claire Lawrence
Journal:  BMC Med Educ       Date:  2014-11-28       Impact factor: 2.463

5.  Evaluation of two selection tests for recruitment into radiology specialty training.

Authors:  Fiona Patterson; Alec Knight; Liam McKnight; Thomas C Booth
Journal:  BMC Med Educ       Date:  2016-07-11       Impact factor: 2.463

6.  The effect of curriculum sample selection for medical school.

Authors:  Marieke de Visser; Cornelia Fluit; Jaap Fransen; Mieke Latijnhouwers; Janke Cohen-Schotanus; Roland Laan
Journal:  Adv Health Sci Educ Theory Pract       Date:  2016-04-23       Impact factor: 3.853

7.  Proficiency testing for admission to the postgraduate family medicine education.

Authors:  Birgitte Schoenmakers; Johan Wens
Journal:  J Family Med Prim Care       Date:  2018 Jan-Feb

8.  Assessment methods in surgical training in the United Kingdom.

Authors:  Evgenios Evgeniou; Loizou Peter; Maria Tsironi; Srinivasan Iyer
Journal:  J Educ Eval Health Prof       Date:  2013-02-05

9.  The 'dark side' and 'bright side' of personality: when too much conscientiousness and too little anxiety are detrimental with respect to the acquisition of medical knowledge and skill.

Authors:  Eamonn Ferguson; Heather Semper; Janet Yates; J Edward Fitzgerald; Anya Skatova; David James
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

10.  The predictive validity of a situational judgement test and multiple-mini interview for entry into postgraduate training in Australia.

Authors:  Fiona Patterson; Emma Rowett; Robert Hale; Marcia Grant; Chris Roberts; Fran Cousans; Stuart Martin
Journal:  BMC Med Educ       Date:  2016-03-09       Impact factor: 2.463

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.