IHC 2016,AbstractRef0282 Shervais, Baker-Glenn, Dickerson and Spencer June2016 Slide 1 Shervais, Baker-Glenn, Dickerson and Spencer June2016 Presentation 2 The Limitations Inherent in using “benchmark” outcomes to estimate NHS health service safety
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide1Shervais,Baker-Glenn,DickersonandSpencerJune2016
Presentation 2
The Limitations Inherent in using “benchmark” outcomes to estimate NHS health service safety
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide2
Background – People involved in the study
Dr Jennifer Spencer Healthcare Fellow University of Cambridge, Cambridge UK
Dual CCT RCPsych CAMH and ID psychiatry, MRCPsych, MB, BAO, BCh, BMedSci, BA,
Dr Elena Baker-GlennDual CCT in training RCPsych General & Old Age psychiatry, MRCPsych, BSC MBBCHIR MMEDSCI
Cambridgeshire and Peterborough NHS Foundation Trust
Dr Terry Dickerson Assistant Director EDC, University of Cambridge, Cambridge UK
PhD, MiMechE, CEng, BSc
Professor Stephen ShervaisAssociate Professor of Management Information Systems
Accounting and Information Systems, College of Business and Public Administration, Eastern Washington UPhD, MS, MA, BA
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide3
Background – What motivated the study
• Clinicians have been complaining that it is difficult to ensure people with mental health disorders obtain the care they need when they are acutely physically ill.
• Benchmark goals have shifted numerous times over the years, thus long term monitoring of appropriate outcome measures has been difficult for NHS trusts to accomplish.
• We wished to see if any appropriate long term outcome measures demonstrated an association with governmental policies regarding the NHS over time.
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide4
Theory/Framework Design Research Methodology
Blessing etal,2009
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide5
Mental illness
Encompasses a range of diagnoses including dementia, substance misuse, depression, anxiety, mania, psychosis, eating disorders, and personality disorders.• Patients with mental illness have lower life expectancy than the rest of the
population• Differences are more marked in younger adults
5
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide6
Benchmark outcomes
• Benchmarking is intended to help managers implement best practice at best cost• In the UK bemnchmarks are currently used as tools to monitor impact of
governance, management, clinical outcomes and logistics
6
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide7
Importance of the Measure• Relevance to stakeholders• Health importance• Applicability to measuring the equitable
distribution of health care (for health delivery measures)• or of health (for population health
measures)• Potential for improvement• Susceptibility to being influenced by the
health care systemScientific Soundness: Clinical Logic
• Explicitness of evidence• Strength of evidence
• Scientific Soundness: Measure Properties• Reliability• Validity• Allowance for patient/consumer
factors as required• Comprehensible
• Feasibility• Explicit specification of numerator and
denominator• Data availability
Desirable attributes of a Quality Measure
https://www.qualitymeasures.ahrq.gov/tutorial/attributes.aspx
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide8
General Health Care Delivery MeasuresClinical quality Measures• Process• Access• Outcome• Structure• Patient Experience
Related Health Care Delivery Measures• User-Enrollee Health State• Management• Use of Services• Clinical Efficacy Measures• EfficiencyPopulation Health Measure Domains
Domains of Measurement
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide9
NHS Outcomes Framework
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide10
NHS Outcomes Framework GoalsDomain 1: Preventing People from Dying Prematurely
• Maximising the contribution that the NHS can make to preventing disease• Finding the ‘missing millions’ and diagnosing earlier and more
accurately• Treating people in an appropriate and timely way• Addressing unwarranted variation in mortality and
survival rates• Reducing deaths in babies and young children
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide11
NHS outcome framework for mental illness 2015/16
• Percentage of adults receiving secondary mental health services living independently • Proportion of all people in prison who have a mental illness • Percentage of adults in contact with secondary mental health services in
paid employment• Excess mortality rate in adults with serious mental illness, aged
under 75, per 100,000 population• Age–standardised mortality rate from suicide and injury of
undetermined intent per 100,000 population (in development)
11
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide12
Methodology
1. Benchmarks used by mental health NHS trusts were identified from the National Quality Measures website
2. A highly respected “Big Data” database was selected (The World Health Organization Mortality Database)
3. Mental Health mortality and self harm rates as well as general population mortality rate were collected from the UK between the years 1990-2014.
4. Data was graphically depicted to look for trends5. Further data was then collected from the WHO site from countries with similar economic and
health care systems6. Statistical analyses were conducted to determine the statistical differences between similar
parameters. Tests were kept to a minimum to avoid Type II error.
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide13
Results – Initial GraphUK Mental Health Mortality rate, Self Harm Mortality rate and NHS Healthcare Policy changes
0
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2500019
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UK total deaths attributable to mental ill healthUK female deaths attributable to mental ill healthUK male deaths attributable to mental ill healthUK total deaths caused by Intentional self-harm
UK male deaths caused by Intentional self-harm
UK female deaths caused by Intentional self-harm
Sir LiamDonaldsonpublishes"Anorganisation withaMemory"
Deloitte,MonitorandParliamentimplementtheFoundationTrustprogramme
Careinthecommunityimplemented&atypicalantipsychoticsonthemarket.
13
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide14
Further Data Collection and Preparation
• WHO mortality data was obtained for 36 countries in Europe including the UK from 1991– 2014 using ICD-10 diagnoses for:• Total deaths from all causes• Deaths due to mental and behavioural disorders• Deaths due to self harm
• Data was converted to the rate per 100,000 population and then graphed
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide15
Total Population Mortality Rates in Europe
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30001990
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Death
sper
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00
TotalPopulationMortalityRatesinEurope(UKMortalityRateinpurple)AustriaBelarusBelgiumBulgariaCroatiaCyprusCzechRepublicDenmarkEstoniaFinlandFranceGeorgiaGermanyGreeceHungaryIcelandIrelandItalyLatviaLithuaniaLuxembourgMaltaNetherlandsNorwayPolandPortugalRomaniaRussianFederationSerbiaSlovakiaSloveniaSpainSwedenSwitzerlandUkraineUnitedKingdom
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide16
European Mortality Rates for People with Mental Health Conditions
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140
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lityRa
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lewith
aMen
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alth
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ition(
per1
00,00
0totalpo
pulat
ion)
MortalityRateforpeoplewithaMentalHealthCondition(UKinpurple)
AustriaBelarusBelgiumBulgariaCroatiaCyprusCzechRepublicDenmarkEstoniaFinlandFranceGeorgiaGermanyGreeceHungaryIcelandIrelandItalyLatviaLithuaniaLuxembourgMaltaNetherlandsNorwayPolandPortugalRomaniaRussianFederationSerbiaSlovakiaSloveniaSpainSwedenSwitzerlandUkraineUnitedKingdom
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide17
European Mortality Rates secondary to Self Harm
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10
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60
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1991
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Mortal
ityRa
teduet
oSelf
Harm
(pe
r100,00
0tota
lpopula
tion)
EuropeanMortalityRatesduetoSelfHarm(UKisinpurple)AustriaBelarusBelgiumBulgariaCroatiaCyprusCzechRepublicDenmarkEstoniaFinlandFranceGeorgiaGermanyGreeceHungaryIcelandIrelandItalyLatviaLithuaniaLuxembourgMaltaNetherlandsNorwayPolandPortugalRomaniaRussianFederationSerbiaSlovakiaSloveniaSpainSwedenSwitzerlandUkraineUnitedKingdom
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide18
Statistical Analyses
We performed a series of one-tail t-tests on the years prior to and following each policy change. Sample size was adjusted based on the number of years available.
Policy Year Years Before Years After n t-test result1993 1990-1992 1994-1996 3 0.00372000 1994-1999 2001-2006 6 0.000032008 2003-2007 2009-2013 5 0.0146
We also averaged the mortality rates for the years prior to and after each policy change and performed a paired t-test (n=3) on the result. The result was 0.216, which is not statistically significant. We are extending the range of sample measurements and repeating the test.
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide19
Conclusion
• There appears to be an association between government mandated changes in the way NHS services operate, and an increase in the mortality rate of people with mental health disorders • The way benchmark outcomes are currently used may not be
providing decision makers with enough information to create and design safe services.
IHC2016,AbstractRef0282 Shervais,Baker-Glenn,DickersonandSpencerJune2016 Slide20
References
• Agency for Healthcare Research and Quality US Department of Health and Human ServicesNational Quality Measures Clearinghouse(https://www.qualitymeasures.ahrq.gov/tutorial/index.aspx , page last viewed 18 June 2016 and https://www.qualitymeasures.ahrq.gov/tutorial/selecting.aspx page last reviewed 22 June 2016)
• Krousel-Wood. Practical Considerations in the Measurement of Outcomes in Healthcare. 187-194. October 1999.
• NHS Outcomes Framework Measurement (https://www.england.nhs.uk/resources/resources-for-ccgs/out-frwrk/dom-1/Porter)
• What Is Value in Health Care? New England Journal of Medicine. 2477-2481. December 2010• World Health Organisation Mortality Database, accessed November 2015– June 2016
(http://apps.who.int/healthinfo/statistics/mortality/whodpms/ )