How do medical students' experiences inform their opinions of general practice and its potential as a future career choice?
Toni RobinsonJanet LefroyPublished in: Education for primary care : an official publication of the Association of Course Organisers, National Association of GP Tutors, World Organisation of Family Doctors (2022)
Recruitment of general practitioners (GPs) in the UK has been suboptimal. There is a wealth of literature exploring recruitment into general practice and opinions of general practice, set in many contexts. This paper aims to synthesise all the elements and extract mechanisms to explain what works, for whom in what circumstances, to create a comprehensive understanding and highlight potential target areas for improvement to improve understanding and fuel interest in general practice careers. A realist review of literature and contemporary data was conducted in line with RAMESES standards. Analysis and synthesis were aided by NVivo. An initial program theory was developed following discussion with expert informers. Sections of text from included literature relating to program theory were extracted and synthesised into a final program theory using a realist logic of analysis in which recurring Context-Mechanism-Outcome configurations (CMOCs) were identified. Searches identified 27 relevant documents. Twenty recurring CMOCs were extracted, explaining how student perceptions of General Practice were influenced by placement experiences, comments from hospital doctors, medical school faculty, peers, GPs, student perceptions of lifestyle and the media. The GP placement environment plays an important role in the formation of opinions about the speciality. The impact of social influence varies depending on the student's desire to belong to a reference group and their level of self-monitoring behaviour. The 'GP lifestyle' was judged to be compatible with many students' needs. This realist review provides recommendations on how curricula can adapt to provide an accurate insight into general practice.
Keyphrases
- general practice
- medical students
- primary care
- healthcare
- quality improvement
- medical education
- systematic review
- metabolic syndrome
- mental health
- cardiovascular disease
- physical activity
- high resolution
- weight loss
- type diabetes
- machine learning
- oxidative stress
- emergency department
- ultrasound guided
- smoking cessation
- big data
- risk assessment
- decision making
- deep learning
- data analysis