ࡱ> >= g2ɀ\pGriffiths Pamela Ba==hSC.,8X@"1Calibri1Calibri1Calibri1Calibri1Arial1Calibri1 Calibri1Calibri14Calibri1 Calibri1Calibri1Calibri1,8Calibri18Calibri18Calibri1>Calibri14Calibri1<Calibri1?Calibri1h8Cambria1Calibri1 Calibri1Arial1Arial1Arial""#,##0;\-""#,##0""#,##0;[Red]\-""#,##0""#,##0.00;\-""#,##0.00#""#,##0.00;[Red]\-""#,##0.005*0_-""* #,##0_-;\-""* #,##0_-;_-""* "-"_-;_-@_-,)'_-* #,##0_-;\-* #,##0_-;_-* "-"_-;_-@_-=,8_-""* #,##0.00_-;\-""* #,##0.00_-;_-""* "-"??_-;_-@_-4+/_-* #,##0.00_-;\-* #,##0.00_-;_-* "-"??_-;_-@_-"Yes";"Yes";"No""True";"True";"False""On";"On";"Off"],[$ -2]\ #,##0.00_);[Red]\([$ -2]\ #,##0.00\)                                                                       ff + ) , *     P  P        `            a>      ( ( ! ||C}-} 00_)}-} 00_)}-} 00_)}-} 00_)}-} 00_)}-} 00_)}-} 00_)}-} 00_)}-} 00_)}-}  00_)}-}  00_)}-}  00_)}-}  00_)}-}  00_)}-} 00_)}-} 00_)}A} 00_)ef[$ -}A} 00_)ef[$ -}A} 00_)ef[$ -}A} 00_)ef[$ -}A} 00_)ef[$ -}A} 00_)ef [$ -}A} 00_)L[$ -}A} 00_)L[$ -}A} 00_)L[$ -}A} 00_)L[$ -}A} 00_)L[$ -}A} 00_)L [$ -}A} 00_)23[$ -}A} 00_)23[$ -}A} 00_)23[$ -}A} 00_)23[$ -}A}  00_)23[$ -}A}! 00_)23 [$ -}A}" 00_)[$ -}A}# 00_)[$ -}A}$ 00_)[$ -}A}% 00_)[$ -}A}& 00_)[$ -}A}' 00_) [$ -}A}( 00_)[$ -}}) }00_)[$ -##0.  }}* 00_)[$ -???##0.??? ??? ???}-}+ 00_)}-}, 00_)}-}- 00_)}-}. 00_)}-}/ 00_)}A}0 a00_)[$ -}A}1 00_)[$ -}A}2 00_)?[$ -}A}3 00_)23[$ -}-}4 00_)}}5 ??v00_)̙[$ -##0.  }A}6 }00_)[$ -}A}7 e00_)[$ -}}8 00_)[$ -##0.  }}9 ???00_)[$ -???##0.??? ??? ???}-}: 00_)}-}; 00_)}U}< 00_)[$ -##0.}-}= 00_)}(}> 00_)}(}? 00_)}(}@ 00_)}-}B 00_) 20% - Accent1M 20% - Accent1 ef % 20% - Accent2M" 20% - Accent2 ef % 20% - Accent3M& 20% - Accent3 ef % 20% - Accent4M* 20% - Accent4 ef % 20% - Accent5M. 20% - Accent5 ef % 20% - Accent6M2 20% - Accent6  ef % 40% - Accent1M 40% - Accent1 L % 40% - Accent2M# 40% - Accent2 L渷 % 40% - Accent3M' 40% - Accent3 L % 40% - Accent4M+ 40% - Accent4 L % 40% - Accent5M/ 40% - Accent5 L % 40% - Accent6M3 40% - Accent6  Lմ % 60% - Accent1M 60% - Accent1 23 % 60% - Accent2M$ 60% - Accent2 23ږ % 60% - Accent3M( 60% - Accent3 23כ % 60% - Accent4M, 60% - Accent4 23 % 60% - Accent5M0 60% - Accent5 23 %! 60% - Accent6M4 60% - Accent6  23 % "Accent1AAccent1 O % #Accent2A!Accent2 PM % $Accent3A%Accent3 Y % %Accent4A)Accent4 d % &Accent5A-Accent5 K % 'Accent6A1Accent6  F %(Bad9Bad  %) Calculation Calculation  }% * Check Cell Check Cell  %????????? ???+ Comma,( Comma [0]-&Currency.. Currency [0]/Explanatory TextG5Explanatory Text % 0Good;Good  a%1 Heading 1G Heading 1 I}%O2 Heading 2G Heading 2 I}%?3 Heading 3G Heading 3 I}%234 Heading 49 Heading 4 I}% 5InputuInput ̙ ??v% 6 Linked CellK Linked Cell }% 7NeutralANeutral  e%3Normal % 8Noteb Note   9OutputwOutput  ???%????????? ???:$Percent ;Title1Title I}% <TotalMTotal %OO= Warning Text? Warning Text %XTableStyleMedium9PivotStyleLight16`U6Sheet1eUSheet2VSheet3, Trust name a1. The total number of whole time equivalent doctors in training employed by the trust in 2015/16H2. The total amount spent on salaries of doctors in training for 2015/16p3. The proportion of the doctors in training at the trust in 2016/17 who are on the 2016 junior doctor contract _4. The total number of whole time equivalent doctors in training the trust employed in 2016/17H5. The total amount spent on salaries of doctors in training for 2016/172Wrightington, Wigan and Leigh NHS Foundation Trust!Please see response to question 1PResponsibility for issuing the correct terms and conditions rests with Pennine. 5.8m5.9mO6. Amount spent on implementing a system to allow exception reporting availableKThe only expenditure we can provide for DRS Realtime was for c40k in 2013As we operate under the Lead Employer model, WWL do not employ ST1/CT1 and above training positions  the word employ seems to be used in questions 1 & 4, and so I do not feel we can respond on this basis in regards to ST1/CT1 and above. 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