Learning from the introduction of ‘skill-mix’ changes in general practice: a qualitative process evaluation

British Journal of General Practice(2018)

引用 0|浏览14
暂无评分
摘要
Background ‘Skill-mix’ change (changing mix of staff roles or introducing new ways of working) is increasingly promoted to relieve pressure in general practice teams. As part of a primary care workforce strategy, one locality in Greater Manchester is seeking to integrate three ‘non-medical’ roles – Advanced Practitioners (APs), Physician Associates (PAs) and Clinical Pharmacists (CPs) – to work alongside practice staff. Aim A qualitative process evaluation studied the integration of these roles to: establish the aims and priorities of the new services; understand and compare the ways in which the roles are being established with identification of measurable impacts and unintended consequences. Method A rapid scoping review of the primary care skill-mix literature was conducted to inform the evaluation. Purposive and ‘snowball’ sampling enabled semi-structured interviews (12) and focus groups (2) to be conducted with 27 key individuals (workforce/training leads for the new services; APs/PAs/CPs; GPs/practice managers), before being transcribed, anonymised and analysed thematically with a combination of a priori and grounded codes. Analysis of relevant service/training plans supplemented interview/focus group data. Results A number of organisational and operational factors affecting implementation success in early adopter sites were identified including: the intended scope and function of new roles with corresponding implications for measuring impacts; leadership/active management of workforce changes; appropriate training and education; inter-professional tensions; regulatory provisions, and sustainability. Conclusion There is variation in how the three skill-mix initiatives are being implemented in early adopter sites, with implications for success. Key considerations for introducing skill-mix changes in general practice are being identified.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要