The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base...

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The Insights Series 30-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

Transcript of The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base...

Page 1: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 2: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 3: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 4: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 5: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 6: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 7: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 8: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 9: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 10: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 11: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 12: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 13: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 14: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 15: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 16: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 17: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 18: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 19: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 20: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 21: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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

Page 22: The Insights Series · Performance Profile: Coffs Harbour Base Hospital. Coffs Harbour Base Hospital summary dashboard, July 2009 - June 2012 30-day mortality following hospitalisation

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