MUNROS Policy Conference:
Edinburgh 5-6th February 2017
New and Extended Roles for Health Care Professionals: Practice, Outcomes, and Costs
The MUNROS Policy Conference explored the impact on practice, outcomes and costs of the wider use of new health care professionals and extended roles for established health care professionals.
The conference, in Edinburgh on February 6th 2017, showcased the findings of the EU MUNROS project and explored implications for policy.
Interactive sessions enabled delegates to explore in detail the issues of:
Substitution: when does it occur and what drives it?
Barriers and facilitators to task substitution
Integrated care and its association with task substitution
Patient preferences: what does task substitution mean to patients
Workforce planning: modelling and planning a changing workforce
Conference presentations see 'dissemination' section
Project background: EU call for research into the ‘Quality, Efficiency and Solidarity of Health Systems’.
European countries are reforming their health systems to improve health care delivery. One of the ways they are doing this is by changing skill mix within teams delivering health services: extending the roles of existing health professions and introducing new ones. This project is undertaking a systematic evaluation of the impact of these ‘new professional roles’ on practice, outcomes and costs in a range of different health care settings within European Union and Associate Countries.
It is detailing the nature, scope and contribution of the new professional roles, evaluating their impact on clinical practice and outcomes, and identifying their scope to improve the integration of care. It is conducting economic evaluation to identify the cost effectiveness of the new professional roles, identify optimal models for delivery of health care and the consequences of these for management of human resources and workforce planning.
Study design is cross-sectional and multi-level. A mixed methods approach combines analysis of routinely collected data and primary data generated through interviews and questionnaires to health professionals, managers and patients. Data analysis is employing multi-level modelling techniques.
Project is funded by the European Commission, Grant Agreement no: 305467