Data and analytics: are we ready? · 12 March, 2019 @obh_uk © Outcomes Based Healthcare 1 4 5 2 3 He althy LT C s Ser io us dis ability In c urab le ca nce r Org an failure Fr ailty

@obh_uk12 March, 2019 © Outcomes Based Healthcare

Data and analytics: are we ready?

Dr Rupert Dunbar-Rees MRCGP MBA FFCIFounder & CEO Outcomes Based HealthcareNHS Innovation Fellow, NHSE

www.outcomesbasedhealthcare.com

@obh_uk@obh_uk12 March, 2019 © Outcomes Based Healthcare

Types of outcome measures

NEW SLIDE

© Outcomes Based Healthcare


Data maturity for outcomes measurement

Flexibility

Complexity

Quality and accuracy

National aggregate dataNational acute patient-

level data

Linked, longitudinal,

patient-level data

e.g. NHSOF, CCG OIS SUS/ HESSUS/HES, community, mental health,

primary care, social care data…


OBH Outcomes Platform longitudinal data model

Primary

Care Data

Secondary

Care Data

(SUS)

Community

Care Data

Social Care

Data

Patient-

Reported

Data

Mental

Health Data

Integrated

whole

population

dataset

Pse

udonym

ised

and

lin

ked a

t patien

t le

vel

Outcome Monitoring

2015

20

16

2017

2018

2019

2020

Outcome Baselines

2015

2016

2017

Population Segmentation

OBH

Ana

lytics

Layer

OBH Outcomes PlatformAccessed via secure login online

Provider

datasetsOBH data warehouse OBH Online Solutions



Data approaches for timely outcomes reporting

People Living with Frailty

and/or Dementia

Reducing…

• Falls

• Fragility fractures

• Delirium in care

Improving…

• Independence

• Isolation

OBH metrics

People at the End of Life

Reducing…

• Emergency admissions near

death

Increasing:

• Deaths in preferred place

• Time spent at home

OBH metrics

Healthy Population

Reducing…

• Obesity

• Smoking

• Alcohol consumption

Improving…

• Employment

• Housing

OBH metrics

Primary Care

Data

Secondary

Care Data

(SUS)

Community

Care Data

Social Care

Data

Patient-

Reported

Data

Pseudonymised and linked at patient level

Integrated whole population dataset

OBH Analytics Layer

Mental

Health Data

People with LTCs or

Disabilities

Reducing…

• Premature mortality

• Complications of LTCs

Improving…

• Quality of Life

• Self-management

OBH metrics


1 4 5

2 3

Healthy LTCs

Serious

disabilityIncurable

cancer

Organ

failure

Frailty +/-

dementia

Acutely

ill

Maternal and

infant healthEp

iso

dic

care

Co

re p

op

ula

tio

n g

roup

s

876

End phases of life

OBH Segmentation Model- UK adaptation of ‘Bridges to Health’

© Outcomes Based HealthcareSource: OBH, adapted from the Bridges to Health model – Lynn J, Straube BM, Bell KM, Jencks SF, Kambic, RT. (2007). Using population segmentation to provide better health for all: the ‘bridges to health’

model. The Milbank Quarterly: 85(2): 185-208.


Population segmentation- example CCG 500,000 people

* Modelled data based on comparable populations


Population segmentation- activity analysis example


How old are people in each segment?

8Frailty and/or

dementia

7Organ Failure

6Short period

of decline before dying

5Disability

4 Long term conditions

1Healthy

10

20

30

40

50

60

70

80

90

100

Ag

e (

ye

ars

)



Population segmentation- care setting example


Healthy

LTC

Frailty

and/or

dementia

Disability

Organ failure

End of Life

Healthy Population Outcomes, including HealthSpanTM


@obh_uk #OBHoutcomes12 March, 2019 © Outcomes Based Healthcare

HealthSpanTM to Lifespan ratio- example

@obh_uk #OBHoutcomes12 March, 2019 © Outcomes Based Healthcare

HealthSpanTM to Lifespan ratio- system sustainability

@obh_uk12 March, 2019 © Outcomes Based HealthcareNB. Personal Outcomes are currently being co-produced for inclusion in the final Outcomes Framework

Outcomes Framework : Clinical and Social Outcome Measures (CSOMs)


Contact

[email protected] @rupsdr

www.outcomesbasedhealthcare.com @obh_uk

Documents

Data and analytics: are we ready? · 12 March, 2019 @obh_uk © Outcomes Based Healthcare 1 4 5 2 3 He althy LT C s Ser io us dis ability In c urab le ca nce r Org an failure Fr ailty