From April 2013, every NHS hospital will be required to ask patients in A&E and on the wards whether they would want a friend or relative to be treated there in their hour of need. The Prime Minister says the results will be made public so ’everyone will have a really clear idea of where to get the best care’ which will ’drive other hospitals to raise their game’.
If you follow the logic that ‘what gets measured gets managed’, it makes complete sense to say that a measure that captures what patients think of services will encourage managers to focus more on what matters to patients. And it makes sense to opt for a simple measure that can be easily applied in practice.
On this basis it is hard not to see the appeal of the ‘friends and family test’, which is an NHS version of the Net Promoter Score (NPS) – a customer loyalty metric that businesses including Apple, Philips and American Express use to test customer views. The way it works is simple: ask your customers if they would recommend your service to their family and friends; add up all those who would recommend, subtract those who wouldn’t and you have your score – usually presented out of 10 or as a percentage.
The NPS is not, and is not meant to be, a sophisticated measure of quality. Proponents claim that it is a good predictor of company growth and is highly sensitive to fluctuations and trends in customer satisfaction. If the scores move in the wrong direction, it prompts managers to dig around and find out what needs to be fixed.
However, in health care the NPS is controversial. Some people say that it will not work because most patients do not actually choose where they are treated. Others say that it will not work because support for the NHS is generally so high that it will not have the sensitivity it has in commerce. Some clinicians have expressed concern about what a patient might say after undergoing a necessary procedure or treatment that is distressing or uncomfortable. Others raise technical objections, pointing out that if patients interpret the question differently, it will make the measure unreliable. If a patient in A&E says yes for example, are they recommending the A&E department, or the hospital? Anecdotal feedback from one hospital already using the family and friends test has shown that some patients in A&E reject the question altogether, saying ’I would not wish what happened to me on anyone, let alone my relatives and friends.’
Patient experience measures will only work if clinicians as well as managers take them seriously, and in general they don’t. Clinicians will reject measures they see as inappropriate or unreliable, and will not act on the results.
In a report for the Department of Health last year, Glenn Robert and myself set out the principles that we believe should guide national approaches to measuring patient experience. We believe that any new measure of patient experience should be designed to fulfil the three purposes of the Outcomes Framework. It should give patients and the public useful information; help them hold providers to account and be useful for quality improvement.
We therefore welcome the government’s commitment to developing the methodology for the new family and friends test with local hospitals and GPs. It is absolutely essential that the new measure is trialled in health environments – to find out if the critics were right. And if and when the methodology has been thoroughly tested, and before the measure is implemented, we hope to see a great deal of effort put into communicating the results.
Comments
Thanks, Jen
It should be a straightforward 'Would you recommend this hospital/ward to one of your relatives ?' as an open question, and the feedback should be narrative - so that the reasons for satisfaction or otherwise are present. That is harder to 'count up', but to learn anything really useful, you need to see and think about exactly why people liked one ward, and did not like another one.
To be useful, you should not be restricting the question being asked - because by restricting the question(s), you are potentially excluding things patients consider very important, but clinicians and hospitals do not intuitively see as important.
But my main concern is, why fuddlarse about with marketing gimmicks, like spot surveys when our staff talk directly to millions of people everyday. A great place for social media to rise to the rescue and collect that interaction continuously everyday. Stuff "engagement" this is about enabling every patient at every contact to actively participate in their care and their NHS.
There are loads of modern tools, like Dave Snowden's SenseMaker that can analyse large fragmented datasets. Once one person is brave enough to take the plunge everyone will have to follow, because the new knowledge will be overwhelming.
Within a group, shared ideas about what is important, correct, etc, tend to form (I think these are called group norms) and the members of the group tend to judge their behaviour against those 'norms' - only by allowing different people, who are not already influenced by those group norms, to look at the behaviour, can you get a fresh or alternative opinion about whether the norms themselves, are appropriate.
This is especially necessary, for complex situations which involve many different groups/professions: what makes sense to you, could seem absolute madness to me !
I would therefore suggest that patient recommendation should be one of several factors considered, taken on it's own it could be misleading or even lethal...
But NPS is built to work for openly competitive industries where the 'customer' has a genuine choice - if they don't like one telecom provider, they can go to another.
But in public healthcare, the concept of choice is limited. Patients may, in theory, choose certain service provider (GP surgery, even clinician) but in practice, they have too little information and geographical access to make a informed decision.
In addition, most patients' own experience is of NOT choosing between NHS providers, and therefore the mindset is not one of competition. Without a comparison set, recommending one provider over another becomes difficult, even abstract.
Set in this context, it's hard to see how NPS is likely to be a very useful measure, at least not without many other supporting metrics.
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