SAPC 2012 - exception reporting

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Background Methods Results Summary Exempting dissenting patients from pay for performance schemes retrospective analysis of exception reporting in the UK Quality and Outcomes Framework Tim Doran 1 Evan Kontopantelis 1 Catherine Fullwood 1 Helen Lester 2 Jose Valderas 3 Stephen Campbell 1 1 Centre for Primary Care, Institute of Population Health Faculty of Medicine, University of Manchester 2 School of Health and Population Sciences, University of Birmingham 3 Department of Primary Care Health Sciences, University of Oxford RSS Annual Conference Kontopantelis, Reeves Exception reporting under QOF

description

Exempting dissenting patients from pay for performance schemes: retrospective analysis of exception reporting in the UK Quality and Outcomes Framework

Transcript of SAPC 2012 - exception reporting

Page 1: SAPC 2012 - exception reporting

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

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BackgroundMethodsResults

Summary

Exempting dissenting patients from pay forperformance schemes

retrospective analysis of exception reporting in the UK Qualityand Outcomes Framework

Tim Doran1 Evan Kontopantelis1 Catherine Fullwood1

Helen Lester2 Jose Valderas3 Stephen Campbell1

1Centre for Primary Care, Institute of Population HealthFaculty of Medicine, University of Manchester

2School of Health and Population Sciences, University of Birmingham

3Department of Primary Care Health Sciences, University of Oxford

RSS Annual ConferenceGlasgow, 3 Oct 2012

Kontopantelis, Reeves Exception reporting under QOF

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

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2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

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Nostrud: N Y

Unknown

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26 (963%) 0

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BackgroundMethodsResults

Summary

Outline

1 Background

2 Methods

3 Results

4 Summary

Kontopantelis, Reeves Exception reporting under QOF

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

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Lorem

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5 (24%)

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Nostrud: N Y

Unknown

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26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Improving quality of carea (very) juicy carrot...

A P4P program kicked off in April 2004 with theintroduction of a new GP contract

General practices are rewarded for achieving a set ofquality targets for patients with chronic conditionsThe aim was to increase overall quality of care and toreduce variation in quality between practices

The incentive scheme for payment of GPs was namedQuality and Outcomes Framework (QOF)Initial investment estimated at £1.8 bn for 3 years(increasing GP income by up to 25%)QOF is reviewed at least every two years

Kontopantelis, Reeves Exception reporting under QOF

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

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Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

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26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Quality and Outcomes Frameworkdetails for years 1 (2004/5) and 5 (2008/9)

Domains and indicators in year 1 (year 5):Clinical care for 10 (19) chronic diseases, with 76 (80)indicatorsOrganisation of care, with 56 (36) indicatorsAdditional services, with 10 (8) indicatorsPatient experience, with 4 (5) indicators

Implemented simultaneously in all practices (a controlgroup was out of the question)Practices are allowed to exclude patients from theindicators and the payment calculationsInto the 9th year now (01Mar12/31Apr13); cost for the first8 years was well above the estimate at ≈£8 bn

Kontopantelis, Reeves Exception reporting under QOF

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

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Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Some of the indicators for diabetic patientsPercentage of diabetics...

with a record of HbA1c in previous 15 months (3p)in whom last HbA1c is ≤7.4 in previous 15m (16p)who have a record of BP in the past 15m (3p)in whom the last BP is ≤145/85 (17p)with a rec of serum creatinine testing in previous 15m (3p)who have a record of total cholesterol in previous 15m (3p)whose last measured total cholesterol in previous 15m is≤5mmol/l (6p)who have had influenza immunisation in the preceding1Sep-31Mar (3p)

Kontopantelis, Reeves Exception reporting under QOF

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Exception reporting

For each indicator practices are permitted to removeinappropriate patients from achievement calculationsThe process is known as ‘exception reporting’ (ER) andreasons are:

logisticalclinical - contraindication or intoleranceclinical - patient unsuitableinformed dissent

In place to protect patients from coercion or refusal of carePrincipal drawback is that it allows practices to receivemaximum remuneration without necessarily providing therequired care for all eligible patients

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Exception reporting reasons

LogisticalPatient has recently received a diagnosis or recentlyregistered with the practiceA specified investigative service is unavailable to thepractice

Clinical - contraindication or intolerancePatient has had an allergic or other adverse reaction to aspecified drug or has another contraindication to the drugPatient has not tolerated the drugPatient is taking the maximal tolerated dose of a drug, butthe levels remain suboptimal

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Label One

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

[Add title, if necessary.]

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For additional information please contact: [Name] [Department] [Institution or organization] [E-mail address]

Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Exception reporting reasons

Clinical - patient unsuitableThe indicator is judged inappropriate for the patientbecause of particular circumstances, such as terminalillness or extreme frailtyPatient has a supervening condition that makes thespecified treatment clinically inappropriatePatient has received at least three invitations for a reviewduring the preceding 12 months but has not attended

Informed dissentPatient refuses to be reviewedPatient does not agree to a specific investigation ortreatment

Not all reasons are available for every indicator e.g. nocontraindication option for measurement indicators

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METHODS: [Add text here.]

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BACKGROUND [Add title, if necessary.]

Label One

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

[Add title, if necessary.]

[Add key point.] [Add description of key point.]

[Add key point.] [Add description of key point.]

[Add key point.] [Add description of key point.]

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For additional information please contact: [Name] [Department] [Institution or organization] [E-mail address]

Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

The question

To examine the reasons why practices exempt patientsfrom the UK Quality and Outcomes FrameworkTo identify the characteristics of general practicesassociated with informed dissent

Kontopantelis, Reeves Exception reporting under QOF

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ABSTRACT TITLE: [Add text here.]

BACKGROUND: [Add text here.]

OBJECTIVE: [Add text here.]

METHODS: [Add text here.]

RESULTS: [Add text here.]

CONCLUSIONS: [Add text here.]

BACKGROUND [Add title, if necessary.]

Label One

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Label Three

Label Four

[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

[Add title, if necessary.]

[Add key point.] [Add description of key point.]

[Add key point.] [Add description of key point.]

[Add key point.] [Add description of key point.]

[Add title, if necessary.]

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RESULTS

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CONCLUSIONS

[Add text as bulleted list or a paragraph.] [Add key point.]

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RESULTS

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For additional information please contact: [Name] [Department] [Institution or organization] [E-mail address]

Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Data

In 2008/9 (year 5), 62 clinical activity indicators across 15clinical areas, for which exceptions appliedData from the QMAS system on 8,229 English practicesData on practice and patient characteristics from the ONSand the GMS databaseInformed dissent could be accurately measured only for 37of the 62 indicators (measurement and outcome only)

Kontopantelis, Reeves Exception reporting under QOF

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BACKGROUND: [Add text here.]

OBJECTIVE: [Add text here.]

METHODS: [Add text here.]

RESULTS: [Add text here.]

CONCLUSIONS: [Add text here.]

BACKGROUND [Add title, if necessary.]

Label One

Label Two

Label Three

Label Four

[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

[Add title, if necessary.]

[Add key point.] [Add description of key point.]

[Add key point.] [Add description of key point.]

[Add key point.] [Add description of key point.]

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CONCLUSIONS

[Add text as bulleted list or a paragraph.] [Add key point.]

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RESULTS

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For additional information please contact: [Name] [Department] [Institution or organization] [E-mail address]

Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Analyses

For each practice and clinical indicator we calculated therate of exception reporting:

ERi = Ei/(Ei + Di)Ei , number of patients exception reported for that indicatorDi , number of patients meeting the criteria for the indicatorand not excepted by the practice

Calculated overall rates and separately for each of themain reasonsFocused on overall scores and informed dissentMultilevel multiple linear regression used to identifypractice & population predictors of exception reportingEstimated average financial gain from exception reporting

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METHODS: [Add text here.]

RESULTS: [Add text here.]

CONCLUSIONS: [Add text here.]

BACKGROUND [Add title, if necessary.]

Label One

Label Two

Label Three

Label Four

[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

[Add title, if necessary.]

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RESULTS

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For additional information please contact: [Name] [Department] [Institution or organization] [E-mail address]

Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Overall rates of exception reporting

In 2008/9 the median exception reporting rate across all 62clinical indicators was 4.5% (IQR: 3.4-5.8%)Median rates for individual indicators ranged from 0.0% (forseven indicators) to 24.4% (CHD 10: β blocker therapy forpatients with coronary heart disease)Median rates were generally lower for measurementindicators (2.4%) than for treatment (10.0%) andintermediate outcomes indicators (5.7%)For the 37 indicators for which reasons of ER wereascribable, median overall exception rate was 2.7% (IQR:1.9-3.9%)

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METHODS: [Add text here.]

RESULTS: [Add text here.]

CONCLUSIONS: [Add text here.]

BACKGROUND [Add title, if necessary.]

Label One

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

[Add title, if necessary.]

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For additional information please contact: [Name] [Department] [Institution or organization] [E-mail address]

Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Rates of informed dissent exception reporting37 indicators

Median rate was 0.44% (IQR: 0.14-1.1%)10% of practices excepted over 2.2% of patients forinformed dissent and 1% of practices excepted over 5.7%Median rates for individual indicators ranged from 0.0% (25ind) to 1.2% (DM20, HbA1C control ≤ 7.5%)

Table 2| Proportion of exception reports attributable to each exception reporting category, by type of indicator

Type of indicator (%)

Reason for exception report AllIntermediate outcomeMeasurement

2.92.23.5Unknown*

40.645.935.9Logistical

7.616.20.0Clinical—contraindication

18.713.823.1Clinical—patient unsuitable

30.121.937.4Informed dissent

2 184 8111 026 0761 158 735Total No of exceptions

Based on 37 indicators for which reasons for exception reporting were ascribable (see table 1).*In these cases a “general” exception was applied to the patient and the exact reason for the exception report is not recorded.

No commercial reuse: See rights and reprints http://www.bmj.com/permissions Subscribe: http://www.bmj.com/subscribe

BMJ 2012;344:e2405 doi: 10.1136/bmj.e2405 (Published 17 April 2012) Page 9 of 11

RESEARCH

Kontopantelis, Reeves Exception reporting under QOF

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METHODS: [Add text here.]

RESULTS: [Add text here.]

CONCLUSIONS: [Add text here.]

BACKGROUND [Add title, if necessary.]

Label One

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Label Four

[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

[Add title, if necessary.]

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RESULTS

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CONCLUSIONS

[Add text as bulleted list or a paragraph.] [Add key point.]

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Rates of informed dissent exception reporting37 indicators

Figure 1: Proportion of patients exception reported by indicator and reason, 2008/9

For 37 indicators for which reasons for exception reporting were ascribable (see table 2a).

Indicators ordered by i) type of activity (measurement or outcome); ii) rate of exception reporting attributable to informed dissent.

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

Unknown

Logistical

Clinical - unsuitable

Clinical - contraindication

Informed dissent

[--------------------------------------Measurement----------------------------------] [------Outcome------]

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METHODS: [Add text here.]

RESULTS: [Add text here.]

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BACKGROUND [Add title, if necessary.]

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Factors associated with exception reporting

Table 3| Results of regression analysis—factors associated with exception reporting rates

Informed dissentAll exceptions

Variable 95% CIP valueCoefficient95% CIP valueCoefficient

Indicator characteristics

−0.02 to −0.02<0.001−0.02−0.10 to −0.09<0.001−0.09Upper payment threshold (per 1% increase)

−0.14 to −0.07<0.001−0.10−0.15 to 0.050.321−0.05Indicator type (intermediate outcome)

0.00 to 0.000.0450.000.11 to 0.11<0.0010.11Maximum points/remuneration available

−0.04 to −0.04<0.001−0.04−0.64 to −0.62<0.001−0.63No of eligible patients (per 100 increase in disease register size)

Practice characteristics

-0.37 to −0.29<0.001−0.33−2.44 to −2.22<0.001−2.33Maximum points scored in previous year (2007/8)*

−0.00 to 0.000.449−0.00−0.01 to −0.00<0.001−0.00% of doctors aged ≥55†

−0.00 to 0.000.054−0.00−0.00 to 0.000.2440.00% of women doctors†

−0.05 to 0.070.7850.010.06 to 0.290.0040.17Personal Medical Services contract

0.06 to 0.08<0.0010.070.26 to 0.29<0.0010.28No of patients (per 1000 increase in list size)†

Patient and area characteristics

−0.00 to 0.010.3270.000.02 to 0.04<0.0010.03% of patients aged ≥65†

−0.02 to 0.010.685−0.00−0.02 to 0.020.987−0.00% of female patients†

−0.01 to −0.00<0.001−0.01−0.01 to 0.000.197−0.00% of patients from ethnic minority groups†

0.00 to 0.00<0.0010.00−0.00 to 0.000.1780.00Population density in locality†

Material deprivation in locality‡:

——————1st fourth (most affluent)

0.02 to 0.180.0210.10−0.02 to 0.280.0820.132nd fourth

0.09 to 0.27<0.0010.180.27 to 0.60<0.0010.443rd fourth

0.23 to 0.42<0.0010.330.51 to 0.87<0.0010.694th fourth (most deprived)

Based on 37 indicators for which reasons for exception reporting were ascribable (table 1).*For each specific indicator.†Data for 2006/7.‡Measured by index of deprivation 2007.

No commercial reuse: See rights and reprints http://www.bmj.com/permissions Subscribe: http://www.bmj.com/subscribe

BMJ 2012;344:e2405 doi: 10.1136/bmj.e2405 (Published 17 April 2012) Page 10 of 11

RESEARCH

Most influential factorwas previousperformance on theschemeFactors associatedwith higher levels ofinformed dissentexceptions werebroadly comparablewith those for overallexceptions

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Financial gain associated with exception reportingFigure 2: Total remuneration for all practices attributable to i) achievement of targets and ii) exception reporting, by indicator

For all 62 clinical indicators. Total remuneration is based on ‘population achievement’ rates. Remuneration attributable to achieving targets (grey columns) is based on ‘reported achievement’ rates. Remuneration attributable to exception reporting (black columns, with values in millions) is the difference between total remuneration and remuneration attributable to achieving target

£0

£10

£20

£30

£40

£50

£60

DM

11CK

D2CH

D5TH

Y2ST

R5D

M22

DM

5D

M16

CHD6

STR6

MH

4SM

O3D

M2

AST3

MH

6CH

D9ST

R7CH

D7EP

I7CA

N3

EPI6

STR1

2BP

4D

M12

DM

15D

M17

DM

9SM

O4D

M10

MH

7M

H5

STR8

DEP

1D

M13

CHD1

1AF

3ST

R10

DEM

2CK

D5ST

R13

COPD

10CH

D8D

M21

DM

18CO

PD11

HF2

AST6

DM

7CH

D2 HF3

DM

20CO

PD8

BP5

CKD3

AST8

CHD1

2EP

I8CO

PD12 AF

4CH

D10

MH

9D

EP2

Exception reporting

Achieving targets

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Financial gain associated with exception reportingoverall rates, 62 ind

Overall, 5.4% of clinical points scored by practices wereattributable to exception reportingThis equates to about £30,844,500 for all English practices

£3,834 for the average practice (£3,586-£4,093)£0.58 per patient

Cost varied widely by indicator, from £1,630 for DM11 (BPrecording for DM) to £4.5m for DEP2 (assessingdepression severity)DEP2 and MH9 (reviewing physical & social care forpeople with psychotic illness), accounted for £8.4m; over aquarter of the total cost associated with exception reporting

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

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METHODS

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Financial gain associated with exception reportingoverall & informed dissent rates, 37 ind

4.9% of remuneration received was attributable to overallexception reportingThis equates to about £19,188,917 for all English practices

£2,386 for the average practice£0.36 per patient

The gain attributable to informed dissent exceptions was£2,406,500 nationally

£300 for the average practice (£244-£351)£0.05 per patient

Cost of informed dissent exceptions was relatively lowsince most applied to measurement indicators, whichattract less remuneration

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[Replace the following names and titles with those of the actual contributors: Helge Hoeing, PhD1; Carol Philips, PhD2; Jonathan Haas, RN, BSN, MHA3, and Kimberly B. Zimmerman, MD4 1[Add affiliation for first contributor], 2[Add affiliation for second contributor], 3[Add affiliation for third contributor], 4[Add affiliation for fourth contributor]

OBJECTIVE

[Repeat objective from above.]

METHODS

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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BackgroundMethodsResults

Summary

Conclusions

Respecting a patient’s decision to refuse an investigationor treatment, even if considered wrong or irrational by theattending clinician, is central to medical professionalismWe found that rates of informed dissent in QOF are low,with little variation across the spectrum of deprivationThis suggests that activities incentivised in the scheme arebroadly acceptable to patientsThousands of patients expressed their wish not to receiveinterventions under the frameworkAt relatively low cost, the provision to exception reportenables patients’ voices to be heard and counters some ofthe critiques of the scheme

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OBJECTIVE

[Repeat objective from above.]

METHODS

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Excepteur Sint Lkl

(n=212) Controls

(n=27)

Lorum Wt (kg) 18 (SD 10) 29 (SD 07)

Ipsum (wk) 31 (SD 5) 37 (SD 2)

Irure: B W H HB O

Unknown

79 (373%) 121 (571%)

2 (09%) 0

1 (05%) 9 (42%)

7 (259%) 18 (667%)

0 1 (37%) 1 (37%)

0

Proident F

Lorem

106 (50%) 101 (476%)

5 (24%)

17 (63%) 10 (37%)

Nostrud: N Y

Unknown

172 (811%) 22 (104%) 18 (85%)

26 (963%) 0

1 (37%)

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Appendix Thank you!

Doran T, Kontopantelis E, Fullwood C, et al. Exempting dissentingpatients from pay for performance schemes: retrospective analysis ofexception reporting in the UK Quality and Outcomes Framework. BMJ2012;344: doi: 10.1136/bmj.e2405

Comments, suggestions: [email protected]

Kontopantelis, Reeves Exception reporting under QOF