The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base...
Transcript of The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base...
The Insights Series30-day mortality following hospitalisation,
five clinical conditions, NSW, July 2009 – June 2012
Acute myocardial infarction, ischaemic stroke,
haemorrhagic stroke, pneumonia and hip fracture surgery
Performance Profile:
Coffs Harbour Base Hospital
Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012
30-day mortality following hospitalisation for five conditions
Co
ffs H
arb
our
Base H
osp
ital
Dashb
oard
Hospital-specific risk-standardised mortality ratios (RSMRs) report the ratio of actual or ‘observed’ number of deaths
to the ‘expected’ number of deaths. A hierarchical logistic regression model draws on the NSW patient population’s
characteristics and outcomes to estimate the expected number of deaths for each hospital, given its case mix.
A ratio less than 1.0 indicates lower-than-expected mortality, and a ratio higher than 1.0 indicates higher-than-expected
mortality. Small deviations from 1.0 are not considered to be meaningful. Funnel plots with 90% and 95% control limits
around the NSW rate are used to identify hospitals with higher and lower mortality.
This measure is not designed to compare hospitals and cannot be used to measure the number of avoidable deaths.
RSMRs do not distinguish deaths that are avoidable from those that are a reflection of the natural course of illness.
They do not provide, by themselves, a diagnostic of quality and safety of care.
Risk-standardised mortality ratios (RSMRs) for five conditions, dashboard
Lower mortality No difference Higher mortality Range within 90% control limits
RSMR July 2009 to June 2012
NSW
RSMRs for three-year periods
How to interpret the dashboard
NSW average for index cases
mortality is lower than expected mortality is higher than expected
The length of the bar for each condition reflects the tolerance
for variation around the NSW average. It is wider for hospitals
admitting a small number of patients.
If a hospital's RSMR lies on the grey bar, its mortality is within the range of
values expected for an average NSW hospital of similar size.
( ) Data for hospitals with an expected mortality of <1 are suppressed.
( ) Between 90% and 95% upper control limits; ( ) Outside 95% upper control limits.
( ) Between 90% and 95% lower control limits; ( ) Outside 95% lower control limits.
Notes: RSMR data are for patients with a hospitalisation noting the relevant condition as principal diagnosis.
Patients include those discharged between July 2009 and June 2012 who were initially admitted to this hospital
(regardless of whether they were subsequently transferred) in their last period of care. Deaths are from any cause,
in or out of hospital within 30 days of the hospitalisation admission date.
Details of analyses and risk adjustment are available in Spotlight on Measurement: risk-standardised mortality ratios
for five conditions.
Data source: SAPHaRI, Centre for Epidemiology and Evidence, NSW Ministry of Health.
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au
Acute myocardial infarction (AMI) 512 patients
Ischaemic stroke 241 patients
Haemorrhagic stroke 107 patients
Pneumonia 704 patients
Hip fracture 378 patients
2000-02 2003-05 2006-08 2009-11
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for Acute Myocardial Infarction (AMI)
Co
ffs H
arb
our
Base H
osp
ital
Acute
Myo
card
ial In
farc
tio
n (A
MI)
Total Acute Myocardial Infarction (AMI) hospitalisations
Acute Myocardial Infarction (AMI) patients
Presenting patients (index cases)1
Patients not transferred to another hospital
Patients transferred out to another hospital
This hospital NSW
Age profile, index cases 2
Coffs Harbour Base Hospital
NSW
% of index cases
Significant patient factors and comorbidities, index cases3
Coffs Harbour Base Hospital NSW
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 1 of 4
625
512
412
100
37,794
29,223
18,303
10,920
15-55 56-65 66-74 75-82 83+
18 21 24 19 19
19 21 20 19 21
0 10 20 30 40 50 60 70 80 90 100
61Hypertension
29STEMI
21Dysrhythmia
13Congestive heart failure
10Renal failure
7Hypotension
3Dementia
3Cerebrovascular disease
2Malignancy (cancer)
3Shock
0Alzheimer's disease
58
32
21
17
13
11
3
3
3
2
1
0 10 20 30 40 50 60 70 80 90 100
% of index cases with factor recorded
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for Acute Myocardial Infarction (AMI)
Co
ffs H
arb
our
Base H
osp
ital
Acute
Myo
card
ial In
farc
tio
n (A
MI)
Percentages: index cases who died within 30 days of hospitalisation
Of all deaths:
percentage in this hospital
percentage in another hospital following transfer
percentage after discharge
percentage on day of admission
percentage within 7 days
This hospital
percentage
NSW
percentage
Survival of index cases following hospitalisation for Acute Myocardial Infarction (AMI)5
Adjusted for average age and Charlson comorbidity score
Coffs Harbour Base Hospital
% S
urv
ival
Days since admission
NSW
% S
urv
ival
Days since admission
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 2 of 4
Mortality (all causes) among 512 Acute Myocardial Infarction (AMI) index cases4
7%
69%
0%
31%
22%
75%
(64%)
(6%)
(31%)
(14%)
(61%)
0
90
95
100
0 10 20 30
0
90
95
100
0 10 20 30
Coffs Harbour Base Hospital profile July 2009 - June 2012
Hospital-level Acute Myocardial Infarction (AMI) risk-standardised mortality ratio by number
of expected deaths, NSW public hospitals
Co
ffs H
arb
our
Base H
osp
ital
Acute
Myo
card
ial In
farc
tio
n (A
MI)
Coffs Harbour Base Hospital NSW hospitals 90% limits 95% limits
Hospital-specific RSMRs report the ratio of actual or ‘observed’ number of deaths to the ‘expected’ number
of deaths. A hierarchical logistic regression model draws on the NSW patient population’s characteristics and
outcomes to estimate the expected number of deaths for each hospital, given the characteristics of its patients.
Actual and expected deaths, compared to local peers
This hospital,
actual deaths
Peer group hospitals,
actual deaths
Expected deaths
(based on model)
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 3 of 4
Lismore Base Hospital
The Tweed Hospital
Shoalhaven and District Memorial Hospital
Tamworth Base Hospital
Maitland Hospital
Port Macquarie Base Hospital
Dubbo Base Hospital
Manning Base Hospital
RSMR = 1.00Coffs Harbour Base Hospital
Wagga Wagga Base Hospital
Orange Base Hospital
0 10 20 30 40 50
Deaths
0
1
2
3
4
5
Ris
k s
tand
ard
ised
mo
rtalit
y r
atio
(R
SM
R)
0 50 100 150
Expected number of deaths within 30 days
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for Acute Myocardial Infarction (AMI)
Co
ffs H
arb
our
Base H
osp
ital
Acute
Myo
card
ial In
farc
tio
n (A
MI)
Illustrating the effect of standardisation, July 2009 - June 2012
In order to make fair comparisons, a number of risk adjustments are made to mortality data. These take into account
patient level factors that influence the likelihood of dying. The table below illustrates the cumulative effect of the statistical
adjustments. For each ratio, hospitals are compared to the average NSW result, given their case mix.
Lower mortality No difference Higher mortality
Time series risk-standardised mortality ratio, July 2000 - June 20126
Lower mortality No difference Higher mortality
Year (financial years)
Risk-standardised mortality ratio
(1) Index cases refer to patients discharged between July 2009 and June 2012 who were initially admitted to this hospital
(regardless of whether they were subsequently transferred) in their last period of care.
(2) Age at admission date.
(3) Only those conditions that were shown to have a significant impact on mortality (P<0.05) are shown. Many are a result of
end-organ damage resulting from comorbidities, such as diabetes. A broader set of comorbidities was screened for potential
impacts on mortality. Comorbidities as recorded on patient record, with one year look back. STEMI refers to ST-elevation
myocardial infarction.
(4) Deaths are from any cause, in or out of hospital within 30 days of the index hospitalisation admission date.
(5) Kaplan-Meier survival curve for 30-day following admission for haemorrhagic stroke, adjusted for average age and average
Charlson comorbidity score. Survival curves depict the proportion of patients who were alive, day 0 – day 30.
(6) To make RSMRs comparable over time, a reference population is required. Time series RSMRs for each hospital are based
on the reference years (July 2009 - June 2012). Control limits are based on the NSW average within each period.
( ) Data for hospitals with an expected mortality of <1 are suppressed.
( ) Between 90% and 95% upper control limits; ( ) Outside 95% upper control limits.
( ) Between 90% and 95% lower control limits; ( ) Outside 95% lower control limits.
Details of analyses and risk adjustment are available in Spotlight on Measurement: risk-standardised mortality ratios
Data source: SAPHaRI, Centre for Epidemiology and Evidence, NSW Ministry of Health.
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 4 of 4
Unadjusted ratio Age and sex standardised ratio Risk-standardised mortality ratio
0.93 0.96 1.00
2000-02 2003-05 2006-08 2009-11
1.09 1.15 1.24 1.00
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for ischaemic stroke
Co
ffs H
arb
our
Base H
osp
ital
Ischaem
ic s
tro
ke
Total ischaemic stroke hospitalisations
Ischaemic stroke patients
Presenting patients (index cases)1
Patients not transferred to another hospital
Patients transferred out to another hospital
This hospital NSW
Age profile, index cases 2
Coffs Harbour Base Hospital
NSW
% of index cases
Significant patient factors and comorbidities, index cases3
Coffs Harbour Base Hospital NSW
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 1 of 4
259
241
221
20
15,299
14,205
11,757
2,448
15-63 64-72 73-79 80-85 86+
23 18 17 26 17
20 18 20 21 21
0 10 20 30 40 50 60 70 80 90 100
47Female
9Renal failure
5Congestive heart failure
5Malignancy (cancer)
47
10
7
4
0 10 20 30 40 50 60 70 80 90 100
% of index cases with factor recorded
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for ischaemic stroke
Co
ffs H
arb
our
Base H
osp
ital
Ischaem
ic s
tro
ke
Percentages: index cases who died within 30 days of hospitalisation
Of all deaths:
percentage in this hospital
percentage in another hospital following transfer
percentage after discharge
percentage on day of admission
percentage within 7 days
This hospital
percentage
NSW
percentage
Survival of index cases following hospitalisation for ischaemic stroke5
Adjusted for average age and Charlson comorbidity score
Coffs Harbour Base Hospital
% S
urv
ival
Days since admission
NSW
% S
urv
ival
Days since admission
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 2 of 4
Mortality (all causes) among 241 ischaemic stroke index cases4
17%
48%
0%
53%
0%
58%
(67%)
(2%)
(31%)
(2%)
(51%)
0
80
85
90
95
100
0 10 20 30
0
80
85
90
95
100
0 10 20 30
Coffs Harbour Base Hospital profile July 2009 - June 2012
Hospital-level ischaemic stroke risk-standardised mortality ratio by number
of expected deaths, NSW public hospitals
Co
ffs H
arb
our
Base H
osp
ital
Ischaem
ic s
tro
ke
Coffs Harbour Base Hospital NSW hospitals 90% limits 95% limits
Hospital-specific RSMRs report the ratio of actual or ‘observed’ number of deaths to the ‘expected’ number
of deaths. A hierarchical logistic regression model draws on the NSW patient population’s characteristics and
outcomes to estimate the expected number of deaths for each hospital, given the characteristics of its patients.
Actual and expected deaths, compared to local peers
This hospital,
actual deaths
Peer group hospitals,
actual deaths
Expected deaths
(based on model)
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 3 of 4
Dubbo Base Hospital
RSMR = 1.33Coffs Harbour Base Hospital
Shoalhaven and District Memorial Hospital
Port Macquarie Base Hospital
Tamworth Base Hospital
Lismore Base Hospital
Manning Base Hospital
The Tweed Hospital
Wagga Wagga Base Hospital
Orange Base Hospital
Maitland Hospital
0 10 20 30 40 50
Deaths
0
1
2
3
Ris
k s
tand
ard
ised
mo
rtalit
y r
atio
(R
SM
R)
0 25 50 75 100 125
Expected number of deaths within 30 days
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for ischaemic stroke
Co
ffs H
arb
our
Base H
osp
ital
Ischaem
ic s
tro
ke
Illustrating the effect of standardisation, July 2009 - June 2012
In order to make fair comparisons, a number of risk adjustments are made to mortality data. These take into account
patient level factors that influence the likelihood of dying. The table below illustrates the cumulative effect of the statistical
adjustments. For each ratio, hospitals are compared to the average NSW result, given their case mix.
Lower mortality No difference Higher mortality
Time series risk-standardised mortality ratio, July 2000 - June 20126
Lower mortality No difference Higher mortality
Year (financial years)
Risk-standardised mortality ratio
(1) Index cases refer to patients discharged between July 2009 and June 2012 who were initially admitted to this hospital
(regardless of whether they were subsequently transferred) in their last period of care.
(2) Age at admission date.
(3) Only those conditions that were shown to have a significant impact on mortality (P<0.05) are shown. Many are a result of
end-organ damage resulting from comorbidities, such as diabetes. A broader set of comorbidities was screened for potential
impacts on mortality. Comorbidities as recorded on patient record, with one year look back. STEMI refers to ST-elevation
myocardial infarction.
(4) Deaths are from any cause, in or out of hospital within 30 days of the index hospitalisation admission date.
(5) Kaplan-Meier survival curve for 30-day following admission for haemorrhagic stroke, adjusted for average age and average
Charlson comorbidity score. Survival curves depict the proportion of patients who were alive, day 0 – day 30.
(6) To make RSMRs comparable over time, a reference population is required. Time series RSMRs for each hospital are based
on the reference years (July 2009 - June 2012). Control limits are based on the NSW average within each period.
( ) Data for hospitals with an expected mortality of <1 are suppressed.
( ) Between 90% and 95% upper control limits; ( ) Outside 95% upper control limits.
( ) Between 90% and 95% lower control limits; ( ) Outside 95% lower control limits.
Details of analyses and risk adjustment are available in Spotlight on Measurement: risk-standardised mortality ratios
Data source: SAPHaRI, Centre for Epidemiology and Evidence, NSW Ministry of Health.
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 4 of 4
Unadjusted ratio Age and sex standardised ratio Risk-standardised mortality ratio
1.24 1.30 1.33
2000-02 2003-05 2006-08 2009-11
2.27 2.32 1.48 1.33
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for haemorrhagic stroke
Co
ffs H
arb
our
Base H
osp
ital
Haem
orr
hag
ic s
tro
ke
Total haemorrhagic stroke hospitalisations
Haemorrhagic stroke patients
Presenting patients (index cases)1
Patients not transferred to another hospital
Patients transferred out to another hospital
This hospital NSW
Age profile, index cases 2
Coffs Harbour Base Hospital
NSW
% of index cases
Significant patient factors and comorbidities, index cases3
Coffs Harbour Base Hospital NSW
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 1 of 4
128
107
80
27
6,573
5,681
4,148
1,533
15-62 63-73 74-80 81-85 86+
16 21 28 13 22
20 21 21 19 19
0 10 20 30 40 50 60 70 80 90 100
42Female
9History of haemorrhagic stroke
6Malignancy (cancer)
9Congestive heart failure
46
8
6
6
0 10 20 30 40 50 60 70 80 90 100
% of index cases with factor recorded
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for haemorrhagic stroke
Co
ffs H
arb
our
Base H
osp
ital
Haem
orr
hag
ic s
tro
ke
Percentages: index cases who died within 30 days of hospitalisation
Of all deaths:
percentage in this hospital
percentage in another hospital following transfer
percentage after discharge
percentage on day of admission
percentage within 7 days
This hospital
percentage
NSW
percentage
Survival of index cases following hospitalisation for haemorrhagic stroke5
Adjusted for average age and Charlson comorbidity score
Coffs Harbour Base Hospital
% S
urv
ival
Days since admission
NSW
% S
urv
ival
Days since admission
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 2 of 4
Mortality (all causes) among 107 haemorrhagic stroke index cases4
33%
54%
3%
43%
17%
69%
(76%)
(3%)
(21%)
(20%)
(75%)
0
50
55
60
65
70
75
80
85
90
95
100
0 10 20 30
0
50
55
60
65
70
75
80
85
90
95
100
0 10 20 30
Coffs Harbour Base Hospital profile July 2009 - June 2012
Hospital-level haemorrhagic stroke risk-standardised mortality ratio by number
of expected deaths, NSW public hospitals
Co
ffs H
arb
our
Base H
osp
ital
Haem
orr
hag
ic s
tro
ke
Coffs Harbour Base Hospital NSW hospitals 90% limits 95% limits
Hospital-specific RSMRs report the ratio of actual or ‘observed’ number of deaths to the ‘expected’ number
of deaths. A hierarchical logistic regression model draws on the NSW patient population’s characteristics and
outcomes to estimate the expected number of deaths for each hospital, given the characteristics of its patients.
Actual and expected deaths, compared to local peers
This hospital,
actual deaths
Peer group hospitals,
actual deaths
Expected deaths
(based on model)
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 3 of 4
Port Macquarie Base Hospital
Lismore Base Hospital
RSMR = 0.95Coffs Harbour Base Hospital
Shoalhaven and District Memorial Hospital
The Tweed Hospital
Orange Base Hospital
Manning Base Hospital
Tamworth Base Hospital
Wagga Wagga Base Hospital
Dubbo Base Hospital
0 10 20 30 40 50
Deaths
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Ris
k s
tand
ard
ised
mo
rtalit
y r
atio
(R
SM
R)
0 25 50 75 100 125
Expected number of deaths within 30 days
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for haemorrhagic stroke
Co
ffs H
arb
our
Base H
osp
ital
Haem
orr
hag
ic s
tro
ke
Illustrating the effect of standardisation, July 2009 - June 2012
In order to make fair comparisons, a number of risk adjustments are made to mortality data. These take into account
patient level factors that influence the likelihood of dying. The table below illustrates the cumulative effect of the statistical
adjustments. For each ratio, hospitals are compared to the average NSW result, given their case mix.
Lower mortality No difference Higher mortality
Time series risk-standardised mortality ratio, July 2000 - June 20126
Lower mortality No difference Higher mortality
Year (financial years)
Risk-standardised mortality ratio
(1) Index cases refer to patients discharged between July 2009 and June 2012 who were initially admitted to this hospital
(regardless of whether they were subsequently transferred) in their last period of care.
(2) Age at admission date.
(3) Only those conditions that were shown to have a significant impact on mortality (P<0.05) are shown. Many are a result of
end-organ damage resulting from comorbidities, such as diabetes. A broader set of comorbidities was screened for potential
impacts on mortality. Comorbidities as recorded on patient record, with one year look back. STEMI refers to ST-elevation
myocardial infarction.
(4) Deaths are from any cause, in or out of hospital within 30 days of the index hospitalisation admission date.
(5) Kaplan-Meier survival curve for 30-day following admission for haemorrhagic stroke, adjusted for average age and average
Charlson comorbidity score. Survival curves depict the proportion of patients who were alive, day 0 – day 30.
(6) To make RSMRs comparable over time, a reference population is required. Time series RSMRs for each hospital are based
on the reference years (July 2009 - June 2012). Control limits are based on the NSW average within each period.
( ) Data for hospitals with an expected mortality of <1 are suppressed.
( ) Between 90% and 95% upper control limits; ( ) Outside 95% upper control limits.
( ) Between 90% and 95% lower control limits; ( ) Outside 95% lower control limits.
Details of analyses and risk adjustment are available in Spotlight on Measurement: risk-standardised mortality ratios
Data source: SAPHaRI, Centre for Epidemiology and Evidence, NSW Ministry of Health.
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 4 of 4
Unadjusted ratio Age and sex standardised ratio Risk-standardised mortality ratio
0.97 0.95 0.95
2000-02 2003-05 2006-08 2009-11
1.50 1.24 1.14 0.95
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for pneumonia
Co
ffs H
arb
our
Base H
osp
ital
Pneum
onia
Total pneumonia hospitalisations
Pneumonia patients
Presenting patients (index cases)1
Patients not transferred to another hospital
Patients transferred out to another hospital
This hospital NSW
Age profile, index cases 2
Coffs Harbour Base Hospital
NSW
% of index cases
Significant patient factors and comorbidities, index cases3
Coffs Harbour Base Hospital NSW
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 1 of 4
818
704
637
67
50,644
44,059
39,655
4,404
18-51 52-67 68-77 78-85 86+
15 23 21 24 17
20 20 19 22 19
0 10 20 30 40 50 60 70 80 90 100
18Dysrhythmia
18Chronic obstructive pulmonary disease
14Renal failure
17Congestive heart failure
13Hypotension
12Malignancy (cancer)
6Dementia
3Cerebrovascular disease
2Liver disease
3Shock
1Alzheimer's disease
2Parkinson's disease
17
16
16
15
12
9
7
3
2
2
1
1
0 10 20 30 40 50 60 70 80 90 100
% of index cases with factor recorded
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for pneumonia
Co
ffs H
arb
our
Base H
osp
ital
Pneum
onia
Percentages: index cases who died within 30 days of hospitalisation
Of all deaths:
percentage in this hospital
percentage in another hospital following transfer
percentage after discharge
percentage on day of admission
percentage within 7 days
This hospital
percentage
NSW
percentage
Survival of index cases following hospitalisation for pneumonia5
Adjusted for average age and Charlson comorbidity score
Coffs Harbour Base Hospital
% S
urv
ival
Days since admission
NSW
% S
urv
ival
Days since admission
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 2 of 4
Mortality (all causes) among 704 pneumonia index cases4
10%
70%
1%
29%
1%
53%
(66%)
(3%)
(31%)
(6%)
(54%)
0
75
80
85
90
95
100
0 10 20 30
0
75
80
85
90
95
100
0 10 20 30
Coffs Harbour Base Hospital profile July 2009 - June 2012
Hospital-level pneumonia risk-standardised mortality ratio by number
of expected deaths, NSW public hospitals
Co
ffs H
arb
our
Base H
osp
ital
Pneum
onia
Coffs Harbour Base Hospital NSW hospitals 90% limits 95% limits
Hospital-specific RSMRs report the ratio of actual or ‘observed’ number of deaths to the ‘expected’ number
of deaths. A hierarchical logistic regression model draws on the NSW patient population’s characteristics and
outcomes to estimate the expected number of deaths for each hospital, given the characteristics of its patients.
Actual and expected deaths, compared to local peers
This hospital,
actual deaths
Peer group hospitals,
actual deaths
Expected deaths
(based on model)
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 3 of 4
Shoalhaven and District Memorial Hospital
Manning Base Hospital
RSMR = 0.90Coffs Harbour Base Hospital
Port Macquarie Base Hospital
Tamworth Base Hospital
Wagga Wagga Base Hospital
The Tweed Hospital
Dubbo Base Hospital
Orange Base Hospital
Maitland Hospital
Lismore Base Hospital
0 20 40 60 80 100
Deaths
0
1
2
3
Ris
k s
tand
ard
ised
mo
rtalit
y r
atio
(R
SM
R)
0 50 100 150 200
Expected number of deaths within 30 days
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for pneumonia
Co
ffs H
arb
our
Base H
osp
ital
Pneum
onia
Illustrating the effect of standardisation, July 2009 - June 2012
In order to make fair comparisons, a number of risk adjustments are made to mortality data. These take into account
patient level factors that influence the likelihood of dying. The table below illustrates the cumulative effect of the statistical
adjustments. For each ratio, hospitals are compared to the average NSW result, given their case mix.
Lower mortality No difference Higher mortality
Time series risk-standardised mortality ratio, July 2000 - June 20126
Lower mortality No difference Higher mortality
Year (financial years)
Risk-standardised mortality ratio
(1) Index cases refer to patients discharged between July 2009 and June 2012 who were initially admitted to this hospital
(regardless of whether they were subsequently transferred) in their last period of care.
(2) Age at admission date.
(3) Only those conditions that were shown to have a significant impact on mortality (P<0.05) are shown. Many are a result of
end-organ damage resulting from comorbidities, such as diabetes. A broader set of comorbidities was screened for potential
impacts on mortality. Comorbidities as recorded on patient record, with one year look back. STEMI refers to ST-elevation
myocardial infarction.
(4) Deaths are from any cause, in or out of hospital within 30 days of the index hospitalisation admission date.
(5) Kaplan-Meier survival curve for 30-day following admission for haemorrhagic stroke, adjusted for average age and average
Charlson comorbidity score. Survival curves depict the proportion of patients who were alive, day 0 – day 30.
(6) To make RSMRs comparable over time, a reference population is required. Time series RSMRs for each hospital are based
on the reference years (July 2009 - June 2012). Control limits are based on the NSW average within each period.
( ) Data for hospitals with an expected mortality of <1 are suppressed.
( ) Between 90% and 95% upper control limits; ( ) Outside 95% upper control limits.
( ) Between 90% and 95% lower control limits; ( ) Outside 95% lower control limits.
Details of analyses and risk adjustment are available in Spotlight on Measurement: risk-standardised mortality ratios
Data source: SAPHaRI, Centre for Epidemiology and Evidence, NSW Ministry of Health.
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 4 of 4
Unadjusted ratio Age and sex standardised ratio Risk-standardised mortality ratio
0.92 0.95 0.90
2000-02 2003-05 2006-08 2009-12
1.29 0.83 1.20 0.90
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for hip fracture surgery
Co
ffs H
arb
our
Base H
osp
ital
Hip
fra
ctu
re s
urg
ery
Total hip fracture surgery hospitalisations
Hip fracture surgery patients
Presenting patients (index cases)1
Patients not transferred to another hospital
Patients transferred out to another hospital
This hospital NSW
Age profile, index cases 2
Coffs Harbour Base Hospital
NSW
% of index cases
Significant patient factors and comorbidities, index cases3
Coffs Harbour Base Hospital NSW
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 1 of 4
390
378
200
178
16,355
15,836
10,739
5,097
50-75 76-82 83-86 87-89 90+
19 24 23 15 19
19 23 20 15 22
0 10 20 30 40 50 60 70 80 90 100
29Male
30Dementia
16Dysrhythmia
10Renal failure
12Acute respiratory tract infection
12Congestive heart failure
8Ischemic heart disease
2Malignancy (cancer)
28
23
18
13
12
10
9
4
0 10 20 30 40 50 60 70 80 90 100
% of index cases with factor recorded
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for hip fracture surgery
Co
ffs H
arb
our
Base H
osp
ital
Hip
fra
ctu
re s
urg
ery
Percentages: index cases who died within 30 days of hospitalisation
Of all deaths:
percentage in this hospital
percentage in another hospital following transfer
percentage after discharge
percentage on day of admission not applicable for hip fracture surgery
percentage within 7 days
This hospital
percentage
NSW
percentage
Survival of index cases following hospitalisation for hip fracture surgery5
Adjusted for average age and Charlson comorbidity score
Coffs Harbour Base Hospital
% S
urv
ival
Days since admission
NSW
% S
urv
ival
Days since admission
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 2 of 4
Mortality (all causes) among 378 hip fracture surgery index cases4
9%
17%
0%
83%
23%
(50%)
(0%)
(50%)
(27%)
0
90
95
100
0 10 20 30
0
90
95
100
0 10 20 30
Coffs Harbour Base Hospital profile July 2009 - June 2012
Hospital-level hip fracture surgery risk-standardised mortality ratio by number
of expected deaths, NSW public hospitals
Co
ffs H
arb
our
Base H
osp
ital
Hip
fra
ctu
re s
urg
ery
Coffs Harbour Base Hospital NSW hospitals 90% limits 95% limits
Hospital-specific RSMRs report the ratio of actual or ‘observed’ number of deaths to the ‘expected’ number
of deaths. A hierarchical logistic regression model draws on the NSW patient population’s characteristics and
outcomes to estimate the expected number of deaths for each hospital, given the characteristics of its patients.
Actual and expected deaths, compared to local peers
This hospital,
actual deaths
Peer group hospitals,
actual deaths
Expected deaths
(based on model)
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 3 of 4
Orange Base Hospital
RSMR = 1.37Coffs Harbour Base Hospital
Tamworth Base Hospital
Lismore Base Hospital
Port Macquarie Base Hospital
Maitland Hospital
Dubbo Base Hospital
Manning Base Hospital
Wagga Wagga Base Hospital
The Tweed Hospital
Shoalhaven and District Memorial Hospital
0 10 20 30 40 50
Deaths
0.0
0.5
1.0
1.5
2.0
2.5
3.0
Ris
k s
tand
ard
ised
mo
rtalit
y r
atio
(R
SM
R)
0 20 40 60 80 100
Expected number of deaths within 30 days
Coffs Harbour Base Hospital profile July 2009 - June 2012
30-day mortality following hospitalisation for hip fracture surgery
Co
ffs H
arb
our
Base H
osp
ital
Hip
fra
ctu
re s
urg
ery
Illustrating the effect of standardisation, July 2009 - June 2012
In order to make fair comparisons, a number of risk adjustments are made to mortality data. These take into account
patient level factors that influence the likelihood of dying. The table below illustrates the cumulative effect of the statistical
adjustments. For each ratio, hospitals are compared to the average NSW result, given their case mix.
Lower mortality No difference Higher mortality
Time series risk-standardised mortality ratio, July 2000 - June 20126
Lower mortality No difference Higher mortality
Year (financial years)
Risk-standardised mortality ratio
(1) Index cases refer to patients discharged between July 2009 and June 2012 who were initially admitted to this hospital
(regardless of whether they were subsequently transferred) in their last period of care.
(2) Age at admission date.
(3) Only those conditions that were shown to have a significant impact on mortality (P<0.05) are shown. Many are a result of
end-organ damage resulting from comorbidities, such as diabetes. A broader set of comorbidities was screened for potential
impacts on mortality. Comorbidities as recorded on patient record, with one year look back. STEMI refers to ST-elevation
myocardial infarction.
(4) Deaths are from any cause, in or out of hospital within 30 days of the index hospitalisation admission date.
(5) Kaplan-Meier survival curve for 30-day following admission for haemorrhagic stroke, adjusted for average age and average
Charlson comorbidity score. Survival curves depict the proportion of patients who were alive, day 0 – day 30.
(6) To make RSMRs comparable over time, a reference population is required. Time series RSMRs for each hospital are based
on the reference years (July 2009 - June 2012). Control limits are based on the NSW average within each period.
( ) Data for hospitals with an expected mortality of <1 are suppressed.
( ) Between 90% and 95% upper control limits; ( ) Outside 95% upper control limits.
( ) Between 90% and 95% lower control limits; ( ) Outside 95% lower control limits.
Details of analyses and risk adjustment are available in Spotlight on Measurement: risk-standardised mortality ratios
Data source: SAPHaRI, Centre for Epidemiology and Evidence, NSW Ministry of Health.
THE INSIGHTS SERIES: Performance Profiles - 30-day mortality December 2013 www.bhi.nsw.gov.au Page 4 of 4
Unadjusted ratio Age and sex standardised ratio Risk-standardised mortality ratio
1.35 1.37 1.37
2000-02 2003-05 2006-08 2009-11
0.87 1.19 1.08 1.37