scholarly journals Patient and Public Involvement in Healthcare Quality Improvement: How organizations can help patients and professionals to collaborate

2014 ◽  
Vol 17 (1) ◽  
pp. 17-34 ◽  
Author(s):  
Alicia Renedo ◽  
Cicely Alice Marston ◽  
Dimitrios Spyridonidis ◽  
James Barlow
2021 ◽  
pp. bmjqs-2020-012729
Author(s):  
Ruth Cox ◽  
Matthew Molineux ◽  
Melissa Kendall ◽  
Bernadette Tanner ◽  
Elizabeth Miller

BackgroundInternationally, patient and public involvement (PPI) is core policy for health service quality improvement (QI). However, authentic QI partnerships are not commonplace. A lack of patient and staff capability to deliver successful partnerships may be a barrier to meaningful QI collaboration.ObjectivesThe research questions for this scoping review were: What is known regarding the capabilities required for healthcare staff and patients to effectively partner in QI at the service level?; and What is known regarding the best practice learning and development strategies required to build and support those capabilities?MethodsA six-stage scoping review was completed. Five electronic databases were searched for publications from January 2010 to February 2020. The database searches incorporated relevant terms for the following concepts: capabilities for PPI in healthcare QI; and best practice learning and development strategies to support those capabilities. Data were analysed using descriptive statistics and qualitative content analysis.ResultsForty-nine papers were included. Very little peer-reviewed literature focused explicitly on capabilities for QI partnerships and thus implicit paper content was analysed. A Capability framework for successful partnerships in healthcare quality improvement was developed. It includes knowledge, skills and attitudes across three capability domains: Personal Attributes; Relationships and Communication; and Philosophies, Models and Practices, and incorporates 10 capabilities. Sharing power and leadership was discussed in many papers as fundamental and was positioned across all of the domains. Most papers discussed staff and patients’ co-learning (n=28, 57.14%). Workshops or shorter structured training sessions (n=36, 73.47%), and face-to-face learning (n=34, 69.38%) were frequently reported.ConclusionThe framework developed here could guide individualised development or learning plans for patient partners and staff, or could assist organisations to review learning topics and approaches such as training content, mentoring guidelines or community of practice agendas. Future directions include refining and evaluating the framework. Development approaches such as self-reflection, communities of practice, and remote learning need to be expanded and evaluated.


2020 ◽  
Vol 9 (4) ◽  
pp. e001104
Author(s):  
Pamela Mathura ◽  
Miriam Li ◽  
Natalie McMurtry ◽  
Narmin Kassam

2010 ◽  
Vol 19 (5) ◽  
pp. 416-419 ◽  
Author(s):  
C. Liu ◽  
J. Babigumira ◽  
A. Chiunda ◽  
A. Katamba ◽  
I. Litvak ◽  
...  

2019 ◽  
Vol 50 (9) ◽  
pp. 20-25
Author(s):  
Patricia Schroeder ◽  
Lenard L. Parisi ◽  
Rhonda Foster

2019 ◽  
Vol 32 (2) ◽  
pp. 425-430
Author(s):  
Ahmed Otokiti

Purpose The purpose of this paper is to provide insights into contemporary challenges associated with applying informatics and big data to healthcare quality improvement. Design/methodology/approach This paper is a narrative literature review. Findings Informatics serve as a bridge between big data and its applications, which include artificial intelligence, predictive analytics and point-of-care clinical decision making. Healthcare investment returns, measured by overall population health, healthcare operation efficiency and quality, are currently considered to be suboptimal. The challenges posed by informatics/big data span a wide spectrum from individual patients to government/regulatory agencies and healthcare providers. Practical implications The paper utilizes informatics and big data to improve population health and healthcare quality improvement. Originality/value Informatics and big data utilization have the potential to improve population health and service quality. This paper discusses the challenges posed by these methods as the author strives to achieve the aims.


Sign in / Sign up

Export Citation Format

Share Document