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CharlotteLeslie's profile
Charlotte Leslie
Charlotte Leslie
Charlotte Leslie
Verified account
@CharlotteLeslie

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Charlotte LeslieVerified account

@CharlotteLeslie

Director @CMECnews . Liberated from MP service 2017. Usual caveats on RTs etc

Joined July 2012

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    Charlotte Leslie‏Verified account @CharlotteLeslie 12 Sep 2013

    Sad to see aggression at @Jarmann data.Like how #MidStaffs data was greeted:priority was discrediting it,not research into improving care

    12:47 AM - 12 Sep 2013
    • 14 Retweets
    • 2 Likes
    • Deb Hazeldine James Titcombe Patricia Waters Tamina Rashell #FBPE NHS Survivor Dr Heather Wood Andrew Safe Andrew Brown
    15 replies 14 retweets 2 likes
      1. New conversation
      2. George Disney‏ @gdisney_melb 12 Sep 2013
        Replying to @CharlotteLeslie

        @CLeslieMP @Jarmann If someone calculates something its perfectly natural and good science to know where that estimate came from.

        1 reply 0 retweets 0 likes
      3. Charlotte Leslie‏Verified account @CharlotteLeslie 12 Sep 2013
        Replying to @gdisney_melb

        @migrationman @Jarmann Thanks. Yes, of course, agree robustness good. Just a shame some have undermined the case by being rude about it.

        2 replies 0 retweets 0 likes
      4. George Disney‏ @gdisney_melb 12 Sep 2013
        Replying to @CharlotteLeslie

        @CLeslieMP @Jarmann I agree no need to be rude (pretty emotive issue nonetheless). But I wouldn't say issue here was robustness it was...

        2 replies 0 retweets 0 likes
      5. George Disney‏ @gdisney_melb 12 Sep 2013
        Replying to @gdisney_melb

        @CLeslieMP @Jarmann more about being kept in dark about where estimate came from. Things Brian has published today still not sufficient...

        0 replies 0 retweets 0 likes
      6. End of conversation
      1. New conversation
      2. iHealth‏ @iHealthP 12 Sep 2013
        Replying to @CharlotteLeslie

        @CLeslieMP @Jarmann It's simple denial. Rubbish the figures, attack the messenger. Anything but address the message.

        4 replies 2 retweets 2 likes
      3. Flythenest Haven‏ @FlythenestHaven 12 Sep 2013
        Replying to @iHealthP

        @iHealthP @CLeslieMP Not true @Jarmann makes major claims about NHS but we can't judge his methods. That's unfair. Publish methods.

        1 reply 0 retweets 0 likes
      4. BrianJarman‏ @Jarmann 12 Sep 2013
        Replying to @FlythenestHaven

        @FlythenestHaven @iHealthP @CLeslieMP I use binary logistic regression, ‘bottom-up’ model ie for all 259 CCS diags covering 100% admissions.

        1 reply 1 retweet 1 like
      5. ben dean‏ @bendean1979 12 Sep 2013
        Replying to @Jarmann

        @Jarmann @FlythenestHaven @iHealthP @CLeslieMP based on HES data, with massive differences in coding, your results are meaningless

        3 replies 0 retweets 1 like
      6. threestain‏ @threestain 12 Sep 2013
        Replying to @bendean1979

        @bendean1979 @Jarmann @FlythenestHaven @iHealthP @CLeslieMP not necessarily meaningless, but on evidence presented flawed and presumptive

        1 reply 1 retweet 0 likes
      7. ben dean‏ @bendean1979 12 Sep 2013
        Replying to @threestain

        @threestain @Jarmann @FlythenestHaven @iHealthP @CLeslieMP maybe, likely meaningless more accurate perhaps

        0 replies 1 retweet 0 likes
      8. End of conversation
      1. Flythenest Haven‏ @FlythenestHaven 12 Sep 2013
        Replying to @CharlotteLeslie

        @CLeslieMP Not agression, incredulity. Why has @Jarmann not published this data? His dropbox file is insufficient for us to judge his method

        0 replies 2 retweets 1 like
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      1. Deb Hazeldine‏ @DebHazeldine 12 Sep 2013
        Replying to @CharlotteLeslie

        @CLeslieMP @iHealthP @Jarmann All you had to do was enter a ward at Midstaffs & look! many to this day prefer to argue about reg flag HSMR

        0 replies 2 retweets 0 likes
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      1. New conversation
      2. Grumpy Old Doc‏ @GrumpyOldDoc 12 Sep 2013
        Replying to @CharlotteLeslie

        @CLeslieMP totally untrue. No aggression simply requests for clarification why was data not peer reviewed, checked and published properly?

        1 reply 1 retweet 0 likes
      3. iHealth‏ @iHealthP 12 Sep 2013
        Replying to @GrumpyOldDoc

        iHealth Retweeted BrianJarman

        @GrumpyOldDoc @CLeslieMP look athttps://twitter.com/Jarmann/status/377923001964298240 …

        iHealth added,

        BrianJarman @Jarmann
        Replying to @richardbogle
        @richardbogle @matthewvanloo @DebHazeldine @CLeslieMP I have presented the data to the DH several times since 2011.
        1 reply 0 retweets 0 likes
      4. Grumpy Old Doc‏ @GrumpyOldDoc 12 Sep 2013
        Replying to @iHealthP

        @iHealthP @CLeslieMP thanks, did, last night, very unaggressive debate, see @Jarmann responses to me as well

        1 reply 0 retweets 0 likes
      5. iHealth‏ @iHealthP 12 Sep 2013
        Replying to @GrumpyOldDoc

        @GrumpyOldDoc @CLeslieMP @Jarmann I've seen some very aggressive reponses to Jarman on Twitter this morning.

        1 reply 1 retweet 0 likes
      6. 1 more reply
      1. Tom Dewar‏ @NHS_Analyst 15 Sep 2013
        Replying to @CharlotteLeslie

        .@CLeslieMP @Jarmann sad to see those asking to see the extraordinary data behind extraordinary claims branded as aggressive discrediting

        0 replies 0 retweets 1 like
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      1. New conversation
      2. Flythenest Haven‏ @FlythenestHaven 12 Sep 2013
        Replying to @CharlotteLeslie

        @CLeslieMP @Jarmann It is discredited in this context. Read #Keogh

        1 reply 1 retweet 0 likes
      3. 1 more reply

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