Stuff that occurs to me

All of my 'how to' posts are tagged here. The most popular posts are about blocking and private accounts on Twitter, also the science communication jobs list. None of the science or medical information I might post to this blog should be taken as medical advice (I'm not medically trained).

Think of this blog as a sort of nursery for my half-baked ideas hence 'stuff that occurs to me'.

Contact: @JoBrodie Email: jo DOT brodie AT gmail DOT com

Science in London: The 2018/19 scientific society talks in London blog post

Showing posts with label PiF. Show all posts
Showing posts with label PiF. Show all posts

Sunday, 31 January 2016

Communicating Risk in Health Information (pt 2) - Patient Information Forum event: side effect risks & bowel cancer screening sessions


Last Tuesday I went to PiF (Patient Information Forum)'s event on communicating risk in health information (you can download the presentation slides). It was very good and inspiring and I thought I'd gradually type up my notes.

If you spot any mistakes please let me know, @JoBrodie or my obvious gmail address is somewhere at the top of this blog.

My notes from sessions 1 and 2 are in my previous blog post
Communicating Risk (pt 1) - Patient Information Forum event: health literacy and data visualisation sessions
Session 1: Health risks of low health literacy
Janet Solla, Director, Community Health and Leaning Foundation
Session 2: Using data visualisation to explain risks
Eluned Hughes, Breast Cancer Now

My notes from sessions 3 and 4 below are in this blog post, below
Session 3: Factors influencing the perception of side-effect risk information
Peter Gardner, Head of School of Psychology, University of Leeds

Session 4: Developing a risk communication for bowel cancer screening
Sam Smith, Cancer Research UK Postdoctoral Fellow, Centre for Cancer Prevention, Queen Mary University of London, Wolfson Institute of Preventive Medicine




Tuesday 26th January 2016, 10.30-4pm (with very nice food) at NCVO offices, King's Cross

Session Three - Factors influencing the perception of side-effect risk information
Peter Gardner, Head of School of Psychology, University of Leeds
[slides, PDF]

Peter showed us the patient information leaflet (PIL) for a blood pressure drug which had a long list of fairly unpleasant possible side effects (adverse events) - basically a litany of potential doom and gloom. You could easily imagine that reading this would put people off taking the tablets.

One particular problem is the language used in terms of the relative frequency of these side effects, and what people understand by them.

In testing the official EU terms 'very common', 'common' etc they found that people understood that 'very common' means over 50 per cent whereas in fact it actually refers to 'more than 10 per cent' of people taking the medication. In fact I tested this out later that evening in a group of human-computer interaction experts with whom I was having dinner (on our project which is about making medical devices safer) and they agreed that 'very common' would be more than 50%, as do I (even though I'm fairly familiar with PILs and know what they're referring to).

People actually greatly inflate the risks thanks to the use of these unclear words.

Peter and his team have done a bit of testing via a pop-up on a cancer charity page, which invited website visitors to take part. It was slow going as only around 15 people completed the survey each month so it took ages to get enough to start doing some number crunching. Note that participants were self-selected (visiting that particular website, presumably wanting information and likely to be quite motivated... a large proportion of them also turned out to be educated to degree level)

They tested the effects of stating the risk of side effects as verbal descriptoers, percentages, frequency statements and combinations of these.

For example, "If 100 people take this medicine then 3 would get constipation" (they also looked at 'would' and words like 'will' vs 'may' but there weren't significant differences on that).

Verbal descriptions such as 'common' or 'rare' produced markedly less accurate risk estimations on their own though percentages performed quite well, though less good for things that were lower risk.

People preferred combination statements such as "affects 1 in 500 people (0.2%)" ['affects more than 1 in 10 patients is known as a 'frequency band'].

I wondered, but didn't think to ask, how this information affects people's behaviour if they experience these side effects - do they take them less seriously because they're 'just' a consequence of the medication, so ignore them, or do they monitor themselves for the onset of anything a bit worrying.

Fortunately both NICE (National Institute for Health and Care Excellence) and EMA (European Medicines Agency) are fans of some sort of combination - words and numbers. However this is based more on consensus rather than evidence, because everyone thinks it's a good idea (it probably is but doesn't have a particularly strong evidence base as yet). What is the best combination?


There's certainly a possibility of verbal descriptors having a framing effect on people's understanding but what's particularly clear is that people don't even share understanding of the same risk descriptors. They also want to test with other medications (after all there's also an emotional response to certain types of treatments - you might be pretty relaxed about ibuprofens for muscular pain but much more tense about something that's meant to be keeping your blood pressure normal) and also, partly in light of the presentation earlier on the day about health literacy (session one), they want to test numeracy levels and look at other individual differences. Also to investigate the effect on actual behaviour

See also
Berry DC, Knapp P and Raynor DK (2002) Provision of information about drug side-effects to patients Lancet Mar 9;359 (9309): 853-4




Session Four - Developing a risk communication for bowel cancer screening
Sam Smith @SGSmith_87, Cancer Research UK Postdoctoral Fellow, Centre for Cancer Prevention, Queen Mary University of London, Wolfson Institute of Preventive Medicine
[slides, PDF]

The NHS' Bowel Cancer Screening programme got going in 2008 and involves sending people between 60 and 74 a thing to poo into and presumably send it back. This is so a faecal occult blood test can be done (blood within the poo structure, rather than bleeding). I did wonder when Sam mentioned that this involves putting a small poo sample on card whether people were actually carding their poo at home, but I think not!

This collection is accompanied by a booklet that explains what the test aims to do and what's involved and they wanted to test how well it was understood. One measure of readability is the Flesch-Kincaid measure which looks at sentence and word length and for comparison the Harvard Law Review is about 30, The Sun newspaper is 76 and the NHS Bowel info is 62. 


Interestingly (depressingly) there's a strong correlation between affluence and the returning of a kit - this can mean a danger of introducing inequalities in screening for bowel cancer because only those who return are being screened. Obviously they don't want this to be the 'fault' of the booklet, where people can't understand what's being asked of them and what it all means.

They also did a study where they got people to read the booklet and at various points asked them to 'think aloud' so that they could record people's impressions, and comprehension. In one example someone misunderstood the phrase 'about one in 20 people in the UK will develop bowel cancer in their lifetime' to mean 'that's one in four of the population, isn't it?'. People struggled to get the gist of the facts-based booklet - there were too many facts, some not really that relevant and some text had too much scientific detail.

They also tested the development of an overview booklet (to give people a 'gist' of what's going on). In this document they used more sign posting to help people find their way through it, and also used vernacular language (bowel instead of colorectal). They also called it a 'two minute' guide but someone suggested that that might imply the recommended time to read and might put people off who wanted more info, or felt they'd take longer to read it. They also rejected 'a simple guide' as that might be a bit patronising.

Although their 'gist' leaflet was well understood it arrived with the 'facts' document and the results indicated that the gist leaflet didn't appear to change people's intentions about screening, even if they had more knowledge about it, so no real difference in uptake. One thing they'd like to do is test the gist leaflet as a standalone thing.




Saturday, 30 January 2016

Communicating Risk (pt 1) - Patient Information Forum event: health literacy and data visualisation sessions

Sorry for any typos, written in haste before heading off to see chums so am just getting it up online and will correct any errors later :) This is just my notes from the first two sessions as I'm about to get on a train.



Last Tuesday I went to PiF (Patient Information Forum)'s event on communicating risk in health information (you can download the presentation slides). It was very good and inspiring and I thought I'd type up some of my notes from the first couple of sessions. 

Incidentally I retweeted this picture a year or so ago which I think is interesting, on the use of everyday words and how they can be misunderstood (although jargon words are often incomprehensible they do have the advantage of heralding that you might not understand them, whereas an everyday word might make you falsely believe that you have - in a way plain English might actually cause more problems!). I've written about this elsewhere on this blog.

From a paper about communicating climate change, PhysicsToday 2011

Tuesday 26th January 2016, 10.30-4pm (with very nice food) at NCVO offices, King's Cross

Session One - Janet Solla, Community Health and Learning Foundation
The first session was from CHLF and it touched on a topic I'm particularly interested in - people being able to understand information about health matters, including the language used.
[slides, PDF]

She talked about the sheer numbers of people with very poor basic literacy and abysmal mathematical literacy (numeracy), and how there's less stigma about being vaguely innumerate ("I'm no good with numbers, me") compared with that for being unable to read. Confidence is also an issue - if you're feeling that you know less than everyone else you're perhaps less likely to pluck up the courage to ask and get help.

There was a sad example of someone with a problematic cough whose GP referred him for a hospital X-ray, but on arriving at the hospital he was presented with signs saying Oncology, Paediatrics, Pathology, Radiology, Gynaecology etc but nothing saying 'X-ray'. So he went home and didn't get it done.

People who have lower levels of health literacy may also find it harder to engage with decisions about their healthcare - another example was given of a gardener that might be invited for a knee replacement operation in summer (when it would be better for them to have this non-urgent surgery and the recovery period in winter as summer's a busier time).

Similarly it's usually the well-engaged and literate (or health-literate) who get involved in consultations about service changes, so there's poorer representation of people who aren't generic middle class.

She also gave an example of a patient who was told that his blood test was positive and who took this to mean that all was well so was baffled when the doctor began talking about treatments. A woman receiving chemotherapy infused into one arm (which happened to be the same side as the breast cancer for which she was having the treatment) became distressed when the infusion site was switched to the opposite arm - worried that the drugs wouldn't get across to the other side.

This also made me realise how difficult it is for someone who is super-literate to imagine the many ways in which their kindly interventions might fail, and how things might be misunderstood. Training and awareness may be needed.

I thought of the recent news story that medical student applications tend to come from the most privileged pool of people and risks future healthcare teams that aren't representative of a lot of the people they're serving. The speaker, who does run training and awareness sessions for healthcare professionals about health literacy, pointed out an example of a doctor who'd felt that 'dumbing down' information for people was patronising (no, making that information accessible to more people is a good thing, it can be made clearer, not dumbing down) but sadly another thought that if people weren't prepared to learn to read etc then it was their own fault. This is a worrying attitude.

Even those of us who are plentifully literate might be marinated in fear when we find we're in a hospital being given bad news. It's easy to forget important information if you don't write it down (or are unable to, or didn't have the planning ability to remember to bring pen and paper).

Session Two - Eluned Hughes, Breast Cancer Now (formed from merger of Breakthrough Breast Cancer and Breast Cancer Campaign)
[slides, PDF]

This was a great session on using data visualisation to explain risks, particularly related to the risks and benefits of breast cancer screening for women - what should they be told about screening? Eluned's team use 'icon arrays' (think of lots of those little men and women icons that you find on the front of loo doors) which let them show numbers of people affected by a particular thing, and how taking an intervention (or not) might affect those numbers.

Eg 200 icons showing women in a population, as a 20x10 grid, then make 15 of them blue (scattered among them rather than the last 15 in your grid, the scattering can also be used to indicate randomness of breast cancer incidence) and then add a red one to indicate that in every 200 women 1 extra might experience a particular problem if they take this drug or don't take that one.

She also stressed the importance of talking in absolute numbers rather than relative risk (nothing wrong with both, but need absolute) and to make sure that if you use percentages that you also have the "17 in 200" explanation there too. Also keep your denominator (the 200 in the previous example) the same, so you're not talking about different things which adds confusion.

Eluned also thought that these data visualisations didn't have to be too shiny, nothing wrong with keeping things simple and perhaps even a little rough around the edges, don't overengineer. She also recommended actively using words like 'roughly' and 'about' to highlight the uncertainty of data.

Their visualisations are tested for understanding with various audiences including people with breast cancer (as well as experts in screening and risk communications). David Spiegelhalter was speaking later in the day and he thought these icon arrays were a clear way of communicating risk information.

Breast Cancer Now use a mixture of online and printed tools to reach different audiences. I piped up in the Q&A that when working at Diabetes UK we'd surveyed people and found that many of them were given our information by their nurses rather than contacting us directly for info, so if you're thinking about how to reach your target audience you can struggle to do that if you're not also working with the gatekeepers.

There were some good questions from the audience about how you recruit people for testing, how you evaluate the impact, what the survey questions might include (and if people's knowledge is tested or if they just like and understand the information), what decisions did the people make after using this information and is the tool available in languages other than English. Alas I made note of the questions but not the answers, and I'm just about heading out the door... sorry!




Tuesday, 17 November 2015

Communicating Risk in Health Information (London) - Tues 26 Jan 2016

ZOMG this sounds amazing.

Copied and pasted from their event registration website (from which you can buy a ticket, £240 max, cheaper for members): http://www.pifonline.org.uk/pif/?ee=73



 

 

 

Communicating Risk in Health Information

We are delighted to announce that bookings are now open for the 'Communicating Risk in Health Information' event on Tuesday 26 January 2016, to be held in London.

Risks and statistics are an essential part of patient information.  What is a person’s risk of developing a particular condition in their lifetime, or of having a certain symptom? What is the chance of a treatment or procedure working? What are the risks of getting different side-effects? And can people change these risk factors?

However, many patients are unable to comprehend basic statistics, never mind navigate their way through the reams of data that may come with health information comparing treatment options. As information and support professionals, our job is to make sure we can guide patients through the minefield of data and figures to help them feel confident in making their own decisions.

This one day event will: look at the challenges many patients experience when trying to understand risk; hear from experts in the field of communicating risk; and share case studies from health information producers who have addressed this in their work.

Presentations will include:
  • Health literacy and numeracy in the UK (Community Health & Leaning Foundation)
  • How can we clearly communicate risk information? (David Spiegelhalter, Winton Professor for the Public Understanding of Risk in the Statistical Laboratory, Centre for Mathematical Sciences, University of Cambridge)
  • Factors influencing the perception of side-effect risk information (Peter Gardner, Head of School of Psychology, University of Leeds)
  • TBC Shared decision making and risk communication (Richard Thompson, Professor of Epidemiology & Public Health, Newcastle University)
  • Best practice for clearly communicating risk (PiF, based on PiF Toolkit best practice)
  • Using data visualisation to explain risks (Eluned Hughes, Breast Cancer Now)
The event will close with a practical group session that allows delegates to discuss the key challenges they face and how they can apply the findings or recommendations from the presentations in their work.
A full agenda is being developed and will be available here soon.

Through attending the event we hope delegates will develop:
  • Increased awareness of numeracy and health literacy issues, and their impact on individuals’ everyday life
  • Increased awareness of risk communication issues and impacts on individuals’ health and experiences of care
  • Increased understanding of how to communicate risk clearly in health information
  • Increased awareness of how other health information professionals and organisations approach communicating risk
This one day event costs £125+VAT to attend for PIF members (please login to the website before making your booking to receive the members rate), and £200+VAT for non-members.

We hope you can join us!

If you have any queries about this event please contact admin@pifonline.org.uk.

The PIF Team