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Subject:

Fw: RSS Medical Section and Social Section meeting: 21st April

From:

chris kershaw <[log in to unmask]>

Reply-To:

chris kershaw <[log in to unmask]>

Date:

Fri, 17 Apr 2009 07:37:30 +0100

Content-Type:

multipart/mixed

Parts/Attachments:

Parts/Attachments

text/plain (153 lines) , healthineq.doc (153 lines)

--------------------------------------------------
From: "Tarani Chandola" <[log in to unmask]>
Sent: Wednesday, April 15, 2009 1:56 PM
To: "chris kershaw" <[log in to unmask]>
Subject: Re: RSS Medical Section and Social Section meeting:  21st April

> Dear Chris,
>
> Could you please send out a reminder email for this RSS event again to 
> your email lists? I
> have attached the flyer you created for the event.
>
> Many thanks
> Tarani
>
> On 26 Mar 2009 at 19:00, chris kershaw wrote:
>
>>
>> Royal Statistical Society
>>
>> Joint meeting of the Social Statistics and Medical Statistics Sections
>>
>>
>> 21 April 2009, 5.00pm, (Tea from 4.30pm)
>>
>>
>>
>> Venue:  The Royal Statistical Society, 12 Errol Street, London.
>>
>>
>>
>> If you are interested in attending then registration is recommended (but 
>> not essential).
>>
>>
>>
>> Register at: 
>> http://www.rss.org.uk/main.asp?group=&page=1321&event=675&month=4&year=2009&date=
>>
>>
>>
>> Health inequalities and the use of electronic patient records
>>
>>
>>
>> Professor John Macleod (University of Bristol), Dr Wun Wong and Professor 
>> Harry Hemingway (both of  University College London)
>>
>>
>>
>> Electronic patient records in the UK are increasingly available for 
>> research and present new opportunities for the analyses of health 
>> inequalities through large sample sizes. This meeting highlights examples 
>> of the use of electronic patient records in primary and secondary care 
>> and their potential for analysing and taking action on health 
>> inequalities.
>>
>>
>>
>> Professor Macleod will discuss using electronic patient data to 
>> investigate the influence of primary medical care on health inequality. 
>> Dr Wong will discuss the use of an electronic patient dataset to 
>> investigate variations in secondary care provision.   Professor Hemingway 
>> will discuss the exploitation linkage of the national register of heart 
>> attacks the myocardial infarction national audit project with primary 
>> care records and bespoke, investigator led cohorts.
>>
>>
>>
>> More detailed abstracts of the presentations are given overleaf. Tarani 
>> Chandola will chair the seminar. Attendance is free but pre-registration 
>> is recommended. You can register by email: [log in to unmask] or by 
>> phone (020) 7638 8998. For a map and directions see 
>> www.rss.org.uk/findus. We anticipate the seminar will finish at around 
>> 6pm. For further information contact Tarani Chandola at 
>> [log in to unmask]
>> Abstracts of presentations
>>
>>
>>
>> The role of medicine: using electronic patient data to investigate the 
>> influence of primary
> medical care on health inequality     Professor John Macleod, University 
> of Bristol Following
> the work of McKeown, medical technology has traditionally been assumed to 
> play a minor
> role in influencing population health and, by implication, in determining 
> health inequalities.
> This assumption, however, may no longer be valid as medical technology, 
> apparently
> effective in reducing risk of important diseases, is now potentially 
> accessible through
> universal healthcare provision in the UK. Though this should lead to 
> absolute health
> improvement it may not  lead to reduction in health inequality. Due to the 
> phenomenon Hart
> called the "inverse care law" and Susser later termed the  "technological 
> paradox" effective
> medical technology may increase rather than decrease health inequality 
> since people with
> the most to   gain from it tend to be the least likely to receive it. I 
> will discuss current UK
> evidence, mainly from routine data generated in primary care, on the 
> contribution of effective
> primary medical care to health   inequalities. I will also discuss how 
> routine electronic primary
> care data might be better used to answer this important question.
>>
>>
>>
>> Using an electronic patient dataset to investigate variations in 
>> secondary care provision Dr Wun Wong, University College London Hospital 
>> Episode Statistics (HES) is a secondary care dataset containing details 
>> of all patient admissions to NHS hospitals within England. It includes 
>> both inpatient diagnosis (ICD10) and procedural data (OPCS4) since 1989 
>> and provides an opportunity to study changes in treatment patterns over 
>> time. I will discuss using HES to examine variations in treatment by 
>> patient demog>
>>
>>
>> Aetiology and prognosis of specific coronary syndromes: CALIBER
>>
>> Professor Harry Hemingway, University College London The Cardiovascular 
>> disease research Linking Bespoke studies and Electronic Records (CALIBER) 
>> consortium seeks to identify aetiologic and prognostic factors for 
>> specific coronary disease syndromes.  The underlying premise is that the 
>> causes of onset and progression differ across the spectrum of syndromes, 
>> including stable angina, unstable angina and myocardial infarction.  The 
>> focus is on exploiting the statistical size and degree of clinical 
>> characte>
>>
>>
>>
>>
>
>
>



> The following section of this message contains a file attachment
> prepared for transmission using the Internet MIME message format.
> If you are using Pegasus Mail, or any other MIME-compliant system,
> you should be able to save it or view it from within your mailer.
> If you cannot, please ask your system administrator for assistance.
>
>   ---- File information -----------
>     File:  healthineq.doc
>     Date:  18 Feb 2009, 15:47
>     Size:  38912 bytes.
>     Type:  Unknown
> 

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