Literature DB >> 3468428

The use of simulated patients in the assessment of actual clinical performance in general practice.

J J O'Hagan, L J Davies, R K Pears.   

Abstract

This pilot study assessed a novel approach to the evaluation of clinical performance in the practice setting, using actors trained to simulate real patients. Thirteen general practitioner teachers, 10 family medicine training programme registrars, and 10 recent graduates of the FMTP were recruited. They agreed to be consulted by an unknown simulated patient. Two young patients with classical migraine were selected. Two young actors, a male and a female, were trained to simulate their symptomatology and history. A scoring system was devised to broadly assess a single general practice first consultation, and the simulators were trained to score. Eighty-five percent of respondents were willing to take part in a further study. Seventy-three percent had no suspicion at all that the patient was simulated. The average consultation time was 17 minutes (range 4-40). The average score was 67% (range 10-100%). The diagnosis was made in every case and a wide variety of treatments were prescribed. This appears to be a practical and acceptable method of assessing clinical performance.

Entities:  

Mesh:

Year:  1986        PMID: 3468428

Source DB:  PubMed          Journal:  N Z Med J        ISSN: 0028-8446


  9 in total

1.  Comparative impact of guidelines, clinical data, and decision support on prescribing decisions: an interactive web experiment with simulated cases.

Authors:  Vitali Sintchenko; Enrico Coiera; Jonathan R Iredell; Gwendolyn L Gilbert
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

2.  Current and future concerns.

Authors:  P Tombleson
Journal:  Occas Pap R Coll Gen Pract       Date:  1990-11

3.  Computer support for recording and interpreting family histories of breast and ovarian cancer in primary care (RAGs): qualitative evaluation with simulated patients.

Authors:  J Emery; R Walton; A Coulson; D Glasspool; S Ziebland; J Fox
Journal:  BMJ       Date:  1999-07-03

Review 4.  Potential of using simulated patients to study the performance of general practitioners.

Authors:  P Kinnersley; R Pill
Journal:  Br J Gen Pract       Date:  1993-07       Impact factor: 5.386

5.  Interns' performances with simulated patients at the beginning and the end of the intern year.

Authors:  J J Gordon; N A Saunders; D Hennrikus; R W Sanson-Fisher
Journal:  J Gen Intern Med       Date:  1992 Jan-Feb       Impact factor: 5.128

6.  An observational study comparing quality of care in walk-in centres with general practice and NHS Direct using standardised patients.

Authors:  Clare Grant; Ruth Nicholas; Laurence Moore; Chris Salisbury
Journal:  BMJ       Date:  2002-06-29

7.  Evidence-based guidelines and decision support services: A discussion and evaluation in triple assessment of suspected breast cancer.

Authors:  V Patkar; C Hurt; R Steele; S Love; A Purushotham; M Williams; R Thomson; J Fox
Journal:  Br J Cancer       Date:  2006-11-21       Impact factor: 7.640

8.  Implementing a QCancer risk tool into general practice consultations: an exploratory study using simulated consultations with Australian general practitioners.

Authors:  P P-C Chiang; D Glance; J Walker; F M Walter; J D Emery
Journal:  Br J Cancer       Date:  2015-03-31       Impact factor: 7.640

9.  The CRISP colorectal cancer risk prediction tool: an exploratory study using simulated consultations in Australian primary care.

Authors:  Jennifer G Walker; Adrian Bickerstaffe; Nadira Hewabandu; Sanjay Maddumarachchi; James G Dowty; Mark Jenkins; Marie Pirotta; Fiona M Walter; Jon D Emery
Journal:  BMC Med Inform Decis Mak       Date:  2017-01-19       Impact factor: 2.796

  9 in total

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