The Atlas of Mental Health Care project : International … · 2019-12-12 · The Atlas of Mental...

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The Atlas of Mental Health Care project: International development and applicability for DSS Prof Luis Salvador-Carulla [email protected] Prof Carlos Garcia-Alonso [email protected]

Transcript of The Atlas of Mental Health Care project : International … · 2019-12-12 · The Atlas of Mental...

Page 1: The Atlas of Mental Health Care project : International … · 2019-12-12 · The Atlas of Mental Health Care project : International development and applicability for DSS Prof Luis

The Atlas of Mental Health Care project: International development and applicability for DSS

Prof Luis Salvador-Carulla

[email protected]

Prof Carlos Garcia-Alonso [email protected]

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NEW LINKS BETWEEN ORGANISATIONAL/BUSINESS RESEARCH AND HEALTH CARE RESEARCH (IHI)

Do you know how good you are?

Do you know where you stand relative to the best?

Do you know where the variation exists?

Do you know the rate of improvement over time?

Four Questions of leadership, quality and efficiency

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HEALTH ECOSYSTEMS

(Nimo et al, Cascadia, 2016)

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Agents Consumers Pofessionals, Teams, Organisations

Connections Networks interactions

Health ecosystems Systems, subsystems, nested systems Boundaries and Population determinants

Frameworks & Drivers Values, goals, targets

Jurisdictions Context analysis GIS

Availability Capacity Use

Logic models Conceptual maps Financial Flows

Interventions Packages Social Networks

DSS

LOCAL ATLAS OF CARE

CONCEPTUAL MAPS SOCIAL NETWORK ANALYSIS

Complex health systems: TOOLS & ANALYTICAL TECH.

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Complex health systems: DECISION SUPPORT SYSTEMS

Jurisdictions Context analysis GIS

Availability Capacity Use

Logic models Conceptual maps Financial Flows

Interventions Packages Social Networks

DSS

LOCAL ATLAS OF CARE

CONCEPTUAL MAPS SOCIAL NETWORK ANALYSIS

Context Analysis MACRO MESO MICRO

New Procedures Knowledge Discovery from Data (KDD) Expert-based Collaborative Analysis (EbCA)

Framing Scientific Knowledge (experts) Health ontology Research Synthesis Conceptual analysis

New Tools Visualisation Simulation Modelling Data mining Social Network Analysis Neuronal Network Analysis Cluster based on Rules Monte Carlo DEA

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Context analysis & Systems thinking

Evidence

Context Implementation

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From EBM to System thinking : The Greek Temple

Salvador-Carulla et al, Epid Psych Sciences, 2016

Scientific Knowledge Evidence- data Mixed Qualitative info

DISCOVERY -- CORROBORATION -- IMPLEMENTATION

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Decision support system

Methodologies: operational, statistical and artificial intelligence

Relative technical efficiency assessment (operations)

Simulation engines (statistics)

Spatial analysis (statistics)

Geographical information systems (statistics)

Variable values interpretation (Artificial Intelligence)

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Main Type of Care: Main branches

INFORMATION: guidance/ assessment/ information WITHOUT follow up (e.g. information about availability of services)

GUIDANCE AND ASSESSMENT

INFORMATION

INFORMATION FOR CARE

COMMUNICATION

PERSONAL ACCOMPANIMENT

CASE COORDINATION

PHYSICAL MOBILITY

OTHER ACCESSIBILITY CARE

ACCESIBILITY TO CARE

NON-PROFESSIONAL STAFF

PROFESSIONAL STAFF

SELF-HELP AND VOLUNTARYCARE

HOME & MOBILE

NON MOBILE

ACUTE

HOME & MOBILE

NON MOBILE

NON ACUTE(Continuing care)

OUTPATIENT CARE

EPISODIC

CONTINUOS

ACUTE

WORK

WORK RELATED ACTIVITIES

NON-WORK STRUCTURED CARE

NON STRUCTURED CARE

NON ACUTE

DAY CARE

24 HOURS PHYSICIAN COVER

NON 24H PHYSICIAN COVER

ACUTE

24H PHYSICIAN COVER

NON 24H PHYSICIAN COVER

OTHER RESIDENTIAL

NON ACUTE(Programmed Availability)

RESIDENTIAL CARE

LONG TERM CARE ACESSIBILITY: access to care WITHOUT direct provision of care related to needs (e.g. access to employment) OUTPATIENT: contact with the person in a limited period of time (eg. visit with the GP). DAY CARE: the person spends the day at the facility (e.g. day hospital or social club) RESIDENTIAL: the person sleeps at the facility (eg. acute unit -hostel) SELF CARE/VOLUNTARY: non-paid staff (e.g. Alcoholic anonymous)

91 different codes- taxonomy tree

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GUIDANCE AND ASSESSMENT

INFORMATION

INFORMATION FOR CARE

COMMUNICATION

PERSONAL ACCOMPANIMENT

CASE COORDINATION

PHYSICAL MOBILITY

OTHER ACCESSIBILITY CARE

ACCESIBILITY TO CARE

NON-PROFESSIONAL STAFF

PROFESSIONAL STAFF

SELF-HELP AND VOLUNTARYCARE

HOME & MOBILE

NON MOBILE

ACUTE

HOME & MOBILE

NON MOBILE

NON ACUTE(Continuing care)

OUTPATIENT CARE

EPISODIC

CONTINUOS

ACUTE

WORK

WORK RELATED ACTIVITIES

NON-WORK STRUCTURED CARE

NON STRUCTURED CARE

NON ACUTE

DAY CARE

24 HOURS PHYSICIAN COVER

NON 24H PHYSICIAN COVER

ACUTE

24H PHYSICIAN COVER

NON 24H PHYSICIAN COVER

OTHER RESIDENTIAL

NON ACUTE(Programmed Availability)

RESIDENTIAL CARE

LONG TERM CARE

STEP 2

STEP 3 STEP 4

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INTEGRATED ATLASES OF MENTAL HEALTH CARE: SPAIN

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Full Survey Mixed Automated

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http://cmhr.anu.edu.au/research/projects/atlas-mental-health-care

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Add slide of history

16

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Mapping of MH Care in Montreal (Lessage et al 2002)

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RURAL

URBAN

http://cmhr.anu.edu.au/research/projects/atlas-mental-health-care

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Pattern of availability of MTCs for adults> 17 years with lived experience of mental illness. Comparison between CHN and Helsinkin and Uusimaa.

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0% 10% 20% 30% 40% 50% 60% 70%

Cultural & spiritual

Safety to others

Telephone

Alcohol

Drugs

Sexual expression

Transport

Childcare

Basic education

Benefits

Self-Care

Other services

Safety to self

Intimate relationships

Food

Money

Information on condition & treatment

Looking after the home

Psychotic symptoms

Employment & volunteering

Accomodation

Physical health

Company

Psychological distress

Daytime activities

Needs profile of WSPIR participants at entry

Consumer rated unmet need (n=487) SF rated unmet need (n=559)

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REsearch on the FINancial Systems’ Effect on the Quality of MENTal Health Care

REMAST: Local Atlases (mapping) FINCENTO: Financing REQUALIT: Quality of care REPATO: Pathways of care Glossary of Terms

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Ruiz et al, Epid & Psych Sciences 2017

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Refiniment: Quality indicators in 7 local areas of EU Countries

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• key to reactivate the funding for mental health care • Strengthen mental health management • Development of an integrated, community-oriented MHS • Info from Remast + Requalit benchmark area in Spain

REFINEMENT: POLICY AND PLANNING IMPACT OF THE STUDY

Girona

SPAIN

FINLAND

Helsinki

• Two psychiatric hospitals redesigned to provide specialized care with psychiatrists on-site 24 hours

• Acute residential care for mental disorders provided in small acute units located at general hospitals, supported by community care teams

• Three psychiatric hospitals were closed

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HEALTH ECOSYSTEMS: Atlas of MH for DSS: Barcelona (Catalonia, Basque Country)

• 1.- Atlas of Mental Health (context, service availability, capacity, diversity) - Salvador-Carulla et al, 2002, 2006, 2010; Fernandez et al 2015)

• 2.- Service utilisation - Ferrer M, et al, 2015

• 3.- Cost of Illness - Salvador-Carulla et al, 2011

• 4. Financing (Financing of Illness) - Salvador -Carulla et al, 2010

• 5.- Spatial analysis (hot and cold-spots) - Rodero-Cosano ML et al, 2016

• 6- Smart and relational indicators - Salvador-Carulla L, Salinas-Pérez JA, et al, 2010

• 7.- Technical efficiency analysis - Torres-Jimenez et al, 2016

• 8.- Analysis of management interventions (micro meso y macro management) - Garcia-Alonso et al, submitted

• LOCAL ATLASES OF MH CARE: http://cmhr.anu.edu.au/research/projects/atlas-mental-health-care

• MAPPING OF SERVICES IN EUROPE: http://www.refinementproject.eu/

• DESDE-LTC (Tool for Coding and Mapping): http://www.edesdeproject.eu/

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EVOLUTION OF MH CARE DELIVERY IN CATALONIA (2002 – 2006 - 2010)

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Patterns of workforce capacity

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MENTAL HEALTH CARE IN THE BASQUE COUNTRY

Bizkaia system

Gipuzkoa system

Data Area Name Data Area Name B1 Ajuriaguerra G20 Alto Deba-Arrasate B2 Barakaldo G21 Amara B3 Basauri G22 Andoain

B4 Bermeo G23 Azpeitia B5 Derio G24 Beasain B6 Durango G25 Eguia B7 Erandio G26 Eibar B8 Ercilla G27 Irun B9 Etxaniz G28 Ondarreta B10 Galdakao G29 Renteria B11 Gernika G30 Tolosa B12 Ortuella G31 Zarautz B13 Otxarkoaga G32 Zumarraga B14 Portugalete B15 Santurtzi B16 Sestao B17 Uribe B18 Zalla B19 Rekalde

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MENTAL HEALTH ATLAS 2004 GUIPUZKOA (ESMS) 2013 GUIPUZKOA & BIZKAIA 2017 GUIPUZKOA, BIZKAIA, ARABA

2013 MH NETWORK (OSAKIDETZA) INFORMED THE HEALTH PLANNING AGENCY OF GAPS and PROVISION DRIVEN NEEDS : Placement capacity: - Increase of places in day care, community residential care, employment for SMI - Decrease of long-stay beds

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RELATIVE TECHNICAL EFFICIENCY (Input-oriented)

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

Eficiencia técnica relativa nivel 1

Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

Eficiencia técnica relativa nivel 2

Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5

GIPUZKOA

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

Eficiencia técnica relativa nivel 1

Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5

0

0,1

0,2

0,3

0,4

0,5

0,6

0,7

0,8

0,9

1

Eficiencia técnica relativa nivel 2

Cluster 1 Cluster 2 Cluster 3 Cluster 4 Cluster 5

BIZKAIA

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The aim

What is the aim of the project?

We want to design and develop a Decision Support System (DSS) for helping decision makers (in Mental

Health Care) to understand the system where they operate

The management of information under uncertainty is based on probability and possibility theories (Klir 2006)

A priori uncertainty U1

A posteriori uncertainty U2

Intervention

Information: U2-U1

The Generalized Information Theory is based on the concept of uncertainty and INFORMATION. Information is defined in terms of uncertainty decrease.

The only way to reduce UNCERTAINTY is to increase KNOWLEDGE

4

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MODELLING MICRO-MANAGEMENT INTERVENTIONS IN BIZKAIA

What could happen if we move a psychologist from an acute service in a MHC to another acute service in other MHC?

MHC 6

MHC 4

MHC 8

MHC 19

MHC 3

This intervention involves 6 variables (we have 57)

We have changed the current situation into a simulated one, but …

Is this correct/adequate/appropriate?

Is this feasible?

The DSS shows us that the psychologist rate should be reduced in MHC 6 and we need an additional bed in MHC 4

… with a small increase of beds in acute services in other MHC.

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MODELLING MICRO-MANAGEMENT INTERVENTIONS IN BIZKAIA: CHENGES IN THE WORKFORCE IN SMALL CATCHMENT AREAS

Intervention 3: Move a psychiatrist in Ambulatory care from Ercilla to Barakaldo.

Intervention 2. : Move a psychiatrist in Ambulatory care from Uribe to Sestao.

Intervention 1: Move a psychologist in Ambulatory care in Uribe to Day Hospital in Durango

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-6.21

-1.54

0.57

6.76

1.27 1.30

-0.14

0.85

36.11

31.79

-0.21 -0.18

-10

-5

0

5

10

15

20

25

30

35

40

0.0

10.0

20.0

30.0

40.0

50.0

60.0

Varia

cion

es p

orce

ntua

les (

%)

Valo

res d

e la

s var

iabl

es a

naliz

adas

MICROMANAGEMENT: SHIFT OF PLACEMENT CAPACITY (BEDS) ACROSS CATCHMENT AREAS

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Micromanagement Intervention (shift staff and beds across catchment areas in Basque Country)

Effects on system’s efficiency and stability of care in the small MH areas

Mostly positive/neutral … … positive/neutral.

Small health areas (mental health centres)

Input management (Input oriented DEA)

Output management (Output oriented DEA)

Ajuriaguerra = =↓ Barakaldo =↑ = Basauri =↑ = Bermeo =↑ =↑ Derio = =↑ Durango =↑ = Erandio = = Ercilla ↓ =↓ Etxaniz =↑ =↑ Galdakao = = Gernika = =↓ Ortuella =↑ = Otxarkoaga =↑ =↑ Portugalete = = Santurtzi = = Sestao = ↓ Uribe ↑ ↑ Zalla =↑ = Recalde =↑ =↓

Small health areas (mental health centres)

Input management (Input oriented DEA)

Output management (Output oriented DEA)

Ajuriaguerra ↑ ↓ Barakaldo =↑ =↑ Basauri =↑ = Bermeo =↑ = Derio = = Durango =↑ = Erandio =↑ =↓ Ercilla =↓ =↑ Etxaniz ↑ = Galdakao ↑ = Gernika =↑ = Ortuella ↑ = Otxarkoaga =↑ ↓ Portugalete = = Santurtzi = = Sestao =↑ = Uribe ↑ = Zalla ↑ = Recalde ↑ =

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Self-Organising Map Network (SOMNet) for Evidence-informed Decision Making in MH care

SOMNet Input (W1) for Ideal Output (U3)

OUTPUT (USE SOM) U3 = 10 is given

INPUT (WOF SOM)

Psychiatrists value W1 Original MIN 0.16 Original MAX 5.23

Estimated MIN 1.37 Estimated Max 2.49 Estimated AVE 1.94

* Low-Medium value (W1 = 1.94) is most likely related to the ideal value of U3 = 10.

Individual W1

Re-admission

Chung et al, submitted

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Ehealth and Health ecosystems (general)

Accountability and transparency

Automated coding systems and registries

Improved semantic interoperability

Linking digital to tangible care – eH - IoT

Linking provision, use and financing

Navigation Charts

Real-time dashboards

Smart DSS

Where next?

Kitchin et al. Knowing & Governing Cities through Urban Indicators . Regional studies, regional science, 2: 6-28, 2015

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System thinking in MH Planning

Local Atlas of care

Pathways -Interventions Intelligent indicators

Modeling-Visualisation Financing

Logic model/Cptual map Social Network Analysis

Big data

SPATIAL &

EFFICIENCY ANALYSIS

Knowledge Guided Policy

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SYSTEMS THINKING vs LINEAR HEALTH CARE PLANNING: MIND THE GAP!

BASQUE COUNTRY (SPAIN) / SCOTLAND NHS (UK)

ALBERTA /ENGLAND (CQC)

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Urban MH citiesRISE I-CIRCLE

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Visual tools should provide meaningful information that improves organisational learning and decreases ambiguity to support decision making

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• Service provision & use in local areas:

• ATLAS OF MH CARE (2002-2017)

• Financing of health care

• Cost of Illness studies (Schiz., Depression,

Anxiety, BPD)

• Technical efficiency of small catchment

areas

• Hot-spot and cold-spot analysis

• Micro and Meso Interventions in Health

care management

MH Ecosystem in Catalonia & Basque Country