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Is avoidable mortality a good measure of the quality of
hospital care?
Dr Helen Hogan Clinical Senior Lecturer in Public HealthLondon School of Hygiene and Tropical
Medicine
Outline
• What drives interest in avoidable mortality
• Problems with use as a measure of hospital quality
• Approaches to measurement and what we have learned
• Local and national developments
• The future
Why it matters?
Limitations of avoidable deaths a measure of quality
Measuring avoidable death using population-level data
• Hospital-wide Standardised Mortality Ratios (HSMR/ SHMI/ RAMI)
• Coded adverse events linked to death• Known avoidable harms linked to death• Patient Safety Indicators• Prospective surveillance systems
N Engl J Med 2010;363:2530-9.
N Engl J Med 2010;363:2530-9.
Compared four commercially available methods for deriving hospital wide SMRs from data on hospitals in Massachusetts12 out of 28 (43%)- one method concluded the hospital had significantly higher-than-expected mortality while another method concluded same hospital had significantly lower-than-expected mortality
Measuring avoidable deaths at patient level
What have we learnt so far
• Preventable Incidents Survival and Mortality studies (PRISM) 1 and 2
• Co-applicants: Nick Black, Frances Healy, Graham Neale, Richard Thomson, Charles Vincent, Ara Darzi
• Funders: NIHR Research for Patient Benefit, DH PRP
PRISM 1 Study
• 2010/2011• Aims: – identify ‘problems in care’ and contributory factors – estimate proportion of avoidable hospital deaths– estimate years of life lost
• Method:– RCRR (1000 adult deaths across 10 acute Trusts in
England)– Trained, retired doctors with standard form
Findings• 75% good or excellent care• 11.3% ‘problem in care’ contributing to
death• 5.2% deaths probably avoidable– range 3% - 8% (low variation between Trusts)– estimate 11,859 avoidable adult deaths/year in
England NHS
• Life expectancy of avoidable death patients– 60% patients had life expectancy less than 12 months
• Inter-rater reliability Kappa 0.49
Problems in care identified in cases of preventable deathStage of patient journey
Types of problem identified
Preadmission Poor monitoring of warfarinDelays in admission for hospital procedureContraindicated drug prescribed in outpatients
Early in admission
Failure to diagnoseDelayed diagnosisWrong diagnosisFailure to identify the severity of underlying conditions and risks posed by the chosen therapeutic approach Failure to optimise preoperative state
Care during a procedure
Procedure conducted in inappropriate environmentTechnical error
Post procedure Inadequate monitoring (fluid balance, infection)Poor assessment
Ward care Inadequate monitoring of overall condition, fluid balance, laboratory tests, side effects of medications (especially warfarin), pressure areas and infectionUnsafe mobilisation leading to serious fallsHospital acquired infectionPrescription of contraindicated drugDelay in undertaking required procedure
4 91
Standardised HospitalMortality Indicator (SHMI)
Hospital StandardisedMortality Ratio (HSMR)
Keogh Review of 14 ‘mortality outliers’
PRISM 2 Study• Based on recommendations emerging from the
Keogh review
• Relationship between ‘excess mortality rates’ and actual ‘avoidable deaths’
• Study to support introduction of a new national outcome framework indicator “hospital deaths attributable to problems in care” and national standard approach to local mortality review
5c Hospital deaths attributable to
problems in care
PRISM 2 Study• 2014/2015• Extend PRISM 1 to further 24 Trusts• Similar method to permit analyses of combined
data from both studies (n=3,400 records)• Random sample of Trusts selected across 4 strata of
HSMR• Trained reviewers (70% current consultants, 30%
retired)• Linear regression to determine the percentage
increase in avoidable death proportion for a 10 point increase in HSMR/SHMI
Findings• 78% good or excellent care• 9.4% ‘problem in care’ contributing to
death• 3.0% deaths probably avoidable– range 0% - 9% (low variation between Trusts
persists)
• Inter-rater reliability Kappa 0.35
Combined Findings
• 3.6% probably avoidable• no statistical significant association between
hospital SMRs and the proportion of avoidable deaths
The future
• Local Mortality Review– Standardised self-assessment will ensure robust process
• National approach to training and materials• Electronic database/ NRLS• Random sample or all deaths screened, high risk cases selected for
in-depth• Multidisciplinary process
• National Tracking of Outcome Indicator• Random sample of NHS deaths • National panel of trained reviewers (multi-disciplinary)• Multiple reviewers per record
• Timetable: Invitation to tender via HQIP– http://hqip.org.uk/tenders/rcrr%20tender%202015/
The futureX Direct comparison of Trusts based on avoidable
deaths ?? Develop notional avoidable death proportions
Use a coherent set of indicators known to be associated with quality e.g. hospital acquired infections and measure as robustly as possible
Develop indicators that reflect integrated care/ quality of care across health systems