CCG Outcomes Indicator Set
Consultation 2015
Author: Clinical Indicators Team
Date: 26th January 2015
1
Copyright © 2015, Health and Social Care Information Centre.
CCGOIS consultation
Contents
Introduction
3
About you
4
Acute upper gastrointestinal bleeding
5
Anxiety
6
Heavy menstrual bleeding
8
Infection prevention and control
10
Neonatal jaundice
11
Peripheral arterial disease
12
Surgical site infection
13
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Copyright © 2015, Health and Social Care Information Centre.
CCGOIS consultation
Introduction
Consultation on potential new indicators
We are seeking views from commissioners, clinicians and interested parties on the suitability
of a number of indicators being considered for inclusion in the CCG Outcomes Indicator Set
(CCGOIS).
HSCIC develops and tests the indicators and provides recommendations to NICE on the
data sources and methods that could be used for the proposed indicators. Responses from
this consultation exercise will form part of the information that HSCIC provides to NICE in
support of their recommendations to NHS England on indicators to be included in the
CCGOIS for 2016/17.
We are particularly interested to know your views on the definition of the indicator, the quality
of the data source and whether the indicators will be likely to enable CCGs to change
services and deliver improvements in health outcomes
The consultation covers 10 indicators on the following topics:







Acute Upper Gastro-Intestinal Bleeding
Anxiety
Heavy menstrual bleeding
Infection prevention and control
Neonatal jaundice
Peripheral arterial disease
Surgical site infection
You don’t have to respond to all topics, if you have a particular area of interest you can just
respond to the relevant indicators.
Responses
Please return this document as an attachment by email to ccgois@hscic.gov.uk or
complete the online surveys for the topics you are interested in. The consultation is open
until Monday 2nd March 2015.
Further information on CCGOIS
The full list of indicators in the current CCGOIS is available at
http://www.england.nhs.uk/ccg-ois/
CCGOIS indicators are published by HSCIC. Specifications and data files for the current
indicators are available at http://indicators.ic.nhs.uk/webview/
3
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CCGOIS consultation
About you
1. Please indicate the type of organisation you work for
GP or CCG
Acute Trust
Mental Health Trust
Royal College or professional body
Other (please state)
☐
☐
☐
☐
2. Do you work in a clinical specialty or have a particular area of interest? Please state:
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CCGOIS consultation
Acute upper gastrointestinal bleeding
IND-29
Indicator title: Rates of hospital mortality for patients admitted with acute upper gastrointestinal
bleeding (AUGIB)1
Data source: Hospital Episode Statistics (HES)
Denominator: The number of admissions to hospital due to AUGIB
Numerator: The number of admissions in the denominator where the person died in hospital
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator
result for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
1
Defined by ICD-10 codes: K20.0, K20.2, K20.4, K20.6 K25.0, K25.2, K25.4, K25.6 K26.0, K26.2, K26.4, K26.6 K27.0,
K27.2, K27.4, K27.6 K28.0, K28.2, K28.4, K28.6 K29.0 K92.0, K92.1, K92.2
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CCGOIS consultation
Anxiety
IND-30
Indicator title: The proportion of referrals with anxiety disorders who show reliable improvement.
Data source: Improving Access to Psychological Therapies (IAPT) data set
Denominator: The number of referrals with a finished course of treatment and a problem descriptor
(provisional diagnosis) of anxiety disorder
Numerator: The number of referrals in the denominator who show a reliable improvement
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
6
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CCGOIS consultation
IND-31
Indicator title: The proportion of people with anxiety disorders who are able to return to full function
Data source: Improving Access to Psychological Therapies (IAPT) data set
Denominator: The number of referrals with a finished course of treatment and a problem descriptor
(provisional diagnosis) of anxiety disorder who were initially at caseness.
Numerator: Of the denominator, the number of referrals which reliably recovered
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
7
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CCGOIS consultation
Heavy menstrual bleeding
IND-37
Indicator title: Rates of endometrial ablation and hysterectomy
Data source: Hospital Episode Statistics (HES)
Denominator: The number of admissions to hospital due to heavy menstrual bleeding
Numerator: The number of admissions in the denominator that result in endometrial ablation or
hysterectomy
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
8
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CCGOIS consultation
IND-38
Indicator title: Rates of uterine artery embolisation, myomectomy and hysterectomy
Data source: Hospital Episode Statistics (HES)
Denominator: The number of admissions to hospital due to heavy menstrual bleeding
Numerator: The number of admissions in the denominator that result in uterine artery embolisation,
myomectomy or hysterectomy
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
9
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CCGOIS consultation
Infection prevention and control
IND-40
Indicator title: Incidence of healthcare-associated infection
Data source: Public Health England (PHE) mandatory surveillance by attributed CCG: C.difficile,
E.coli, MRSA and MSSA
Denominator: N/A
Numerator: The number of reported healthcare-associated infections: C.difficile, E.coli, MRSA and
MSSA
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
10
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CCGOIS consultation
Neonatal jaundice
IND-51
Indicator title: Proportion of babies identified with hyperbilirubinaemia who are started on treatment in
accordance with standardised threshold tables or charts.
Data source: National Neonatal Research Dataset (NNRD)
Denominator: The number of babies that received phototherapy
Numerator: The number of babies in the denominator who had a bilirubin level on or exceeding the
levels stated in the NICE standardised threshold charts
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
11
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CCGOIS consultation
Peripheral arterial disease
IND-43
Indicator title: Rate of lower limb amputation
Data source: Hospital Episode Statistics (HES)
Denominator: The number of admissions to hospital due to peripheral arterial disease
Numerator: The number of admissions in the denominator that result in lower limb amputation
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
12
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CCGOIS consultation
Surgical site infection
IND-48
Indicator title: Readmissions for surgical site infections
Data source: Hospital Episode Statistics (HES)
Denominator: The number of admissions where a surgical procedure is performed
Numerator: Of the denominator, the number of readmissions that occur within 30 days due to surgical
site infection
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
13
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CCGOIS consultation
IND-49
Indicator title: Rates of any readmission following emergency or planned surgery
Data source: Hospital Episode Statistics (HES)
Denominator: The number of admissions where a surgical procedure is performed
Numerator: Of the denominator, the number of readmissions that occur within 30 days
To what extent do you agree with the following statements?
Strongly
agree
Agree
Disagree
Strongly
Disagree
Don’t
know
a. The Indicator is clearly defined and
unambiguous
☐
☐
☐
☐
☐
b. The Indicator is suitably constructed
☐
☐
☐
☐
☐
Yes,
significant
issues
Yes,
minor
issues
No
issues
Don’t
know
☐
☐
☐
☐
Highly
likely
Quite
likely
Quite
unlikely
Highly
unlikely
Don’t
know
d. How likely is it that service changes which
would lead to improved health outcomes can
be implemented for the clinical activities
reported on by this indicator?
☐
☐
☐
☐
☐
e. How likely is it that perverse incentives
might exist in relation to this indicator, e.g.
activity could change or be recorded
differently solely to improve the indicator result
for an organisation?
☐
☐
☐
☐
☐
c. Would you expect there to be any data
quality issues associated with this indicator?
If you have any comments or other feedback that you would like to provide about this indicator,
please use the space below:
14
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