scholarly journals What does ‘quality’ add? Towards an ethics of healthcare improvement

2019 ◽  
Vol 46 (2) ◽  
pp. 118-122
Author(s):  
Alan Cribb ◽  
Vikki Entwistle ◽  
Polly Mitchell

In this paper, we argue that there are important ethical questions about healthcare improvement which are underexplored. We start by drawing on two existing literatures: first, the prevailing, primarily governance-oriented, application of ethics to healthcare ‘quality improvement’ (QI), and second, the application of QI to healthcare ethics. We show that these are insufficient for ethical analysis of healthcare improvement. In pursuit of a broader agenda for an ethics of healthcare improvement, we note that QI and ethics can, in some respects, be treated as closely related concerns and not simply as externally related agendas. To support our argument, we explore the gap between ‘quality’ and ‘ethics’ discourses and ask about the possible differences between ‘good quality healthcare’ and ‘good healthcare’. We suggest that the word ‘quality’ both adds to and subtracts from the idea of ‘good healthcare’, and in particular that the technicist inflection of quality discourses needs to be set in the context of broader conceptualisations of healthcare improvement. We introduce the distinction between quality as a measurable property and quality as an evaluative judgement, suggesting that a core, but neglected, question for an ethics of healthcare improvement is striking the balance between these two conceptions of quality.

2021 ◽  
pp. medhum-2020-012129
Author(s):  
Alan Cribb ◽  
Vikki Entwistle ◽  
Polly Mitchell

In this paper, we consider the role of conversations in contributing to healthcare quality improvement. More specifically, we suggest that conversations can be important in responding to what we call ‘normative complexity’. As well as reflecting on the value of conversations, the aim is to introduce the dimension of normative complexity as something that requires theoretical and practical attention alongside the more recognised challenges of complex systems, which we label, for short, as ‘explanatory complexity’. In brief, normative complexity relates to the inherent difficulty of deciding what kinds of changes are ‘improvements’ or, more broadly, what is valuable in healthcare. We suggest that explanatory and normative complexity intersect and that anyone interested in healthcare improvement needs to be sensitive to both. After briefly introducing the idea of normative complexity, we consider some contrasting examples of conversations, reflecting on how they do and might contribute to healthcare quality. We discuss both conversations that are deliberately organised and facilitated (‘orchestrated conversations’) and more informally occurring and routine conversations. In the first half of the paper, we draw on some examples of orchestrated and routine conversations to open up these issues. In the second half of the paper, we bring some more theoretical lenses to bear on both conversations and normative complexity, summarise what we take to be the value of conversations and draw together some of the implications of our discussion. In summary, we argue that conversations can play a crucial role in negotiating the normative complexity of healthcare quality improvement because of their capacity to hold together a plurality of perspectives, to contribute and respond to emergence and to help underpin institutional conditions for empathy and imagination.


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.


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