What should be in hospital doctors' continuing professional development?

J R Soc Med

2 Dean, Royal Society of Medicine, London W1G 0AE, UK.

Published: February 2019

Objective: To ask those most affected by continuing professional development for senior doctors - patients, other professional groups and doctors themselves - what it needs to encompass.

Design: The nominal group technique.

Participants: Six groups of between seven and nine members (n = 49). Separate groups were held for nurses and therapists (n = 9), patient representatives (n = 8), medical directors (n = 8), consultants (n = 8) and medical trainees (n = 7). An additional group consisted of 'Darzi Fellows' (n = 9), trainee doctors who were undertaking a leadership fellowship.

Setting: Groups were held at the Royal Society of Medicine in London.

Main Outcome Measures: Priorities for the content of continuing professional development for senior hospital doctors, ranked in order of importance. Themes derived from analysis of group discussions.

Results: We present the ranked priorities of different groups for what should be included in continuing professional development for senior hospital doctors. Analysis of group discussions identified the following three themes: developing and supporting the system of care; changes in the way medicine is practised; and personal wellbeing and caring for colleagues.

Conclusions: The implication of our findings for providers of continuing professional development is to consider the balance of content. Doctors and other healthcare professionals need to keep up with scientific advances and technical developments. But in addition, they need to be adept at working with the system changes required for translation of research into practice, the development of new ways of working, and for the organisational changes that underpin continual quality and safety improvement.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6378471PMC
http://dx.doi.org/10.1177/0141076818808427DOI Listing

Publication Analysis

Top Keywords

continuing professional
20
professional development
16
development senior
12
groups held
8
n = 8 medical
8
senior hospital
8
hospital doctors
8
analysis group
8
professional
6
doctors
6

Similar Publications

Objective: The Veterans Health Administration (VHA) recently piloted the implementation of the TeleWound Practice Program (TWP), which provides interprofessional wound care to Veterans remotely. We assessed the perceptions of Veterans and healthcare team members (HCTMs), and their experiences with the TWP.

Method: We surveyed Veterans from four VHA medical centres who had received at least one TWP visit between 1 May 2020 and 31 May 2021, and HCTMs associated with any TWP encounter between 1 September 2019 and 31 March 2021.

View Article and Find Full Text PDF

Communication is fundamental to effective healthcare. Misunderstandings can increase distress, risks and costs. Clean Language is a precision questioning technique-with specific Clean Language questions which minimise assumptions and bias.

View Article and Find Full Text PDF

Objectives: To understand (1) healthcare professionals' (HCPs) perceptions and experiences of commercial milk formula (CMF) marketing to consumers and HCPs and (2) HCPs' perspectives on regulation of CMF marketing.

Setting: UK.

Design: In-person and online interviews with 41 HCPs with regular contact with pregnant women and mothers.

View Article and Find Full Text PDF

Artificial Intelligence in Sepsis Management: An Overview for Clinicians.

J Clin Med

January 2025

Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126 Parma, Italy.

Sepsis is one of the leading causes of mortality in hospital settings, and early diagnosis is a crucial challenge to improve clinical outcomes. Artificial intelligence (AI) is emerging as a valuable resource to address this challenge, with numerous investigations exploring its application to predict and diagnose sepsis early, as well as personalizing its treatment. Machine learning (ML) models are able to use clinical data collected from hospital Electronic Health Records or continuous monitoring to predict patients at risk of sepsis hours before the onset of symptoms.

View Article and Find Full Text PDF

Recent Advances in the Mechanisms of Quality Degradation and Control Technologies for Peanut Butter: A Literature Review.

Foods

January 2025

Key Laboratory of Geriatric Nutrition and Health, Ministry of Education, School of Food and Health, Beijing Technology and Business University, Beijing 100080, China.

As the quality of life continues to improve globally, there is an increasing demand for nutritious and high-quality food products. Peanut butter, a widely consumed and nutritionally valuable product, must meet stringent quality standards and exhibit excellent stability to satisfy consumer expectations and maintain its competitive position in the market. However, its high fat content, particularly unsaturated fatty acids, makes it highly susceptible to quality deterioration during storage.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!