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1 Performance assessment tool for quality improvement in hospitals - Results from the pilot implementation - Oliver Gröne Quality of Health Systems and Services WHO Regional Office for Europe

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Page 1: Performance assessment tool for quality improvement in

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Performance assessment tool for quality improvement in hospitals

- Results from the pilot implementation -

Oliver Gröne

Quality of Health Systems and Services

WHO Regional Office for Europe

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Content

Background of the project

Experience with pilot implementation

Future directions

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Background of the project

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Basic orientations

Tool for internal quality improvement to support hospitals in:

- Assessing their performance- Question their results- Translate them into actions for quality

improvement.

No ranking of providers or countries, no disclosure of data to purchasers or public.

Comparative data based on peer groups of providers.

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PatientPatient--centerednesscenteredness

SafetySafety

Clin

ical

C

linic

al

Effe

ctiv

enes

sEf

fect

iven

ess

Effic

ienc

yEf

ficie

ncy

Staf

f St

aff

Orie

ntat

ion

Orie

ntat

ion

Res

pons

ive

Res

pons

ive

Gov

erna

nce

Gov

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nce

The PATH model

Key message: performance dimensions and indicators are interrelated.

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Clinical effectivenessPrimary Caesarean section delivery rateAppropriateness of prophylactic antibiotic useRate of readmission for selected tracer conditionsRate of admission after day surgeryReturn to ICU for selected procedures/conditions

SafetyMortality rates for selected tracers and proceduresFormal procedure to report and analyze sentinel eventsWork-related injuries (percutaneous injuries)

EfficiencyAmbulatory surgery useMedian length of stay for specific proceduresAverage inventory in stock for pharmaceuticalsWastage of blood productsOperating rooms unused sessions

Set of performance indicators

Tracer conditions depend onindicator, e.g. for mortality:

stroke, AMI, communityacquired pneumonia, coronaryartery bypass graft, total hipreplacement

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Patient centerednessCancelled surgical proceduresScore on patient perception/satisfaction surveyScore on interpersonal apectsScore on client orientation: information and empowerment

Responsive governancePerceived continuity through patient surveyWomen breastfeeding at discharge

Staff orientationTraining expenditures on average number of FTE staffBudget dedicated to staff health promotion activitiesShort and long term absenteeismPercutaneous injuries on average number of FTE staffStaff excessive weekly working hours

Set of performance indicators

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Descriptive sheets for indicators

Definition- Numerator and denominator- Inclusion criteria- Definition (ICD and content)- Data collection sources and timeframe

Rationale- Burden of data collection- Importance (prevalence, potential for

improvement, hospital impact)- Validity (face validity, construct validity)

Guide for interpretation- Stratification- Related performance indicators

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Experience with pilot implementation

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Objectives of the pilot

Assess model- Burden- Benefit

Revise model- Include / exclude indicators- Refine definitions- Propose strategy for implementation on a

larger scale- Disseminate the project

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Calendar for pilot

Deadline Tasks

02/2004 Participating hospitals identified andcoordinators (national/local) appointed

04/2004 Check data availability + select tailoredindicators + set up data collectionmechanisms

10/2004 Data collection between October 2004 andAugust 2005

08/2005 August to November 2005: Analysis

11/2005 International workshop: review of experience + PATH amendment

03/2006 PATH amended version ready to be expandedCreation of the international network

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1. 51 hospitals from 6 countries (Belgium, Canada, Denmark, France, Slovakia, South Africa),

2. Timeliness and comprehensiveness of data submission depended highly on organizational context,

3. Insufficient control for local adaptations of indicator definition,

4. Lack of data to adjust for case-mix (SES, severity, co-morbidity),

5. Lack of standardized patient assessment measure affect four indicators.

Experience from the pilot implementation

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Construction of peer groups

Distribution of questionnaire on hospital (quality) management systems and functions.

Cluster analysis to group hospitals:- Comprehensive analysis: hospital structures and

quality systems- Limited analysis: size, catchment area

Three clusters/peer groups emerged:- smaller community hospitals, mixed catchment (9),- community and large multispecialty, all teaching

(25),- large, multisite teaching hospitals in urban areas

(13).

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Summary of results

1. Indicator specific dashboard

2. Relative performance index

3. Overall performance index

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Indicator specific dashboard- Example -

for each hospital for each indicator and tracer

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Indicator specific dashboard- Absenteeism -

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Indicator specific dashboard- Readmission <4 days CAP -

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Indicator specific dashboard- LOS AMI -

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Relative performance index- Clinical Effectiveness -

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Relative performance index- Safety -

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Relative performance index- Efficiency -

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Relative performance index- Patient centeredness -

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Relative performance index- Staff orientation -

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Relative performance index-Responsive governance-

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Overall performance index- For each hospital -

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Future directions

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Results and way forward

A fully revised framework after pilot implementation including:- a refined core set of performance indicators +

experience in use of tailored indicators- a consolidated indicator manual to all participating

hospitals consisting of:- Indicator definitions- Exclusion & inclusion criteria- ICD-10 and CCI codes- Desired length of time for data collection

- tools and strategies for interpretation and quality improvement.

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1. WHO CC Ancona, Italy: Establishing Internet platform to collect, analyze and report data.

2. WHO Kracow, Poland: Administration and training on implementation and interpretation of performance measures in hospitals.

3. Steering group and academic centres of excellence to advance reporting of results.

4. WHO Regional Office for Europe: research and support.

Results and way forward

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International pilot implementationyielded problems around data collectionand interpretation.Quality improvement starts with data collection.Clear strategy required to guide furtherprocess of data collection to learn fromresults and link with other qualityimprovement strategies.Many possibilities to present data; however, main question is how data isused.

Conclusion

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Contact

Oliver Gröne, Technical OfficerQuality of Health Systems & Services

WHO Regional Office for Europe

Phone +34 93 241 82 70Fax +34 93 241 82 71

Email [email protected]