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KCE Reports 118 <strong>Pay</strong> <strong>for</strong> <strong>Quality</strong> 137<br />

7.3 DISCUSSION AND CONCLUSIONS<br />

This chapter addresses the question of feasibility of P4Q within the context of Belgian<br />

healthcare. The components of the conceptual framework were used to study feasibility<br />

starting from existing quality improvement initiatives and/or starting from scratch.<br />

The option to start from scratch has the advantage of lacking any historically<br />

determined restraints which result from an already ongoing quality initiative. Each<br />

existing initiative has its own quality definition, goals, targets and quality measurement<br />

system in place. Some combine this already with financial incentives, others don’t.<br />

There<strong>for</strong>e, when adding P4Q to these initiatives this might threaten the original<br />

programme purpose when done inadequately. In addition, the existing common practice<br />

might in itself become an obstacle to state-of-the-art P4Q implementation. This risk of<br />

combining both and coming out with none of both adequately accomplished should be<br />

carefully considered. A disruption of an ongoing initiative might undo years of ef<strong>for</strong>t and<br />

evolution. However, these risks neither imply that an existing quality initiative never<br />

might evolve towards P4Q integration. As initiatives are regularly evaluated and<br />

modified, each initiative might add P4Q characteristics, based on the internally based<br />

consensus of long term involved stakeholders. This process describes a kind of natural<br />

evolution of existing initiatives towards P4Q.<br />

As described in the results section, it is feasible to adapt existing quality initiatives to<br />

include a P4Q component. Although there are some weaknesses (e.g. lack of monitoring<br />

of unintended consequences), there are also many strengths (e.g. high experience in<br />

implementing and communicating a programme) to support P4Q implementation. The<br />

identified weaknesses and threats can be addressed specifically, based on national and<br />

international theory, evidence and stakeholder consensus. The analysis of existing<br />

initiatives has shown that there is a substantial body of knowledge and experience that<br />

can be leveraged to assist in P4Q implementation. It is not about ‘reinventing the<br />

wheel’. The option to start from scratch there<strong>for</strong>e shouldn’t result in ignoring all<br />

lessons learned, on the contrary. Furthermore, the existing quality initiatives can also be<br />

used as a target, because most of them are examples of care management processes.<br />

P4Q can be aimed at the use of benchmarking, the use of clinical pathways, the use of<br />

safety management tools, etc.<br />

Practical feasibility has been confirmed in this chapter. Many of the so called weaknesses<br />

are more related to the will to address them as to the ability to address them. The level<br />

of data validity is one example often cited as a potential threat to P4Q implementation,<br />

due to other purposes of existing data collection and due to the risk of gaming. This<br />

argument serves as a primary example of what P4Q in fact stands <strong>for</strong>: taking quality of<br />

care seriously and acting accordingly, based on verifiable quality demanding standards.<br />

Just as financial data are strictly monitored using an elaborate accounting system, quality<br />

data deserve a similar ardour. There is no room to apply double standards when<br />

addressing quality of care as compared to financing of care. P4Q relates both and<br />

re<strong>for</strong>mulates priorities. The idea of ‘<strong>for</strong> financing purposes’ becomes equal to ‘<strong>for</strong><br />

quality purposes’. Instead of a permissive approach towards gaming, and using this as an<br />

argument against P4Q feasibility, P4Q en<strong>for</strong>ces high standard requirements, and the<br />

reallocation of resources and ef<strong>for</strong>t to ensure those standards. Currently it is<br />

considered common sense in every sector that gaming with financial data equals fraud<br />

and that a control system is institutionalized. The same kind of high intensity attention,<br />

ef<strong>for</strong>t and resources are consumed daily to ensure that one’s PC receives regular<br />

updates to maintain adequate functioning. This same kind of logic (en<strong>for</strong>cing minimal<br />

standards of how to address quality, monitoring those standards, and updating those<br />

standards on a very short time span) is not applied on quality of care, the core value and<br />

mission of healthcare. As such these are questions of ‘willingness’ and not of ‘ability’.

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