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The PRONE score: an algorithm for predicting doctors’ risks of formal patient complaints using routinely collected administrative data

 

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AbstractFullPdf
Apr 2015934712413
May 20151765512296
Jun 20151028422202
Jul 2015334197105
Aug 201511918329
Sep 201521022136
Oct 20151474721
Nov 20151948226
Dec 20151359015
Jan 201610110236
Feb 201610210038
Mar 2016445629
Apr 2016846131
May 20168740529
Jun 2016518119
Jul 2016426919
Aug 201612413736
Sep 2016758315
Oct 20167613537
Nov 20168312239
Dec 2016494811
Jan 2017746015
Feb 2017154126
Mar 201786419
Apr 2017711132
May 2017810214
Jun 2017218213
Jul 2017837715
Aug 2017896324
Sep 20171419115
Oct 20171169021
Nov 20171288619
Dec 2017764811
Jan 201813210336
Feb 20181239714
Mar 201832127622
Apr 201842140333
May 201820919920
Jun 201816314845
Jul 201817313575
Aug 201816114151
Sep 201819516944
Oct 201822219834
Nov 201826624430
Dec 201847644327
Jan 201953349029
Feb 201927225554
Mar 201917914618
Apr 201917113044
May 201916314019
Jun 2019825370106
Jul 201924117656
Aug 201920618227
Sep 20191169746
Oct 201912811123
Nov 2019938518
Dec 201913510714
Jan 20201119212
Feb 202017814026
Mar 202013211436
Apr 2020928235
May 2020695021
Jun 202066574
Jul 202010910124
Aug 2020988626
Sep 2020967419
Oct 2020998816
Nov 2020906722
Dec 2020867412
Jan 2021947417
Feb 202116714141
Mar 20211017936
Total14062109442938