Practicalities of data collection ahp s perspective
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Practicalities of Data Collection AHP’s Perspective. Lynne Douglas Director AHP’s NHS Lothian. Introduction. Context of project to Step 4 Information available Use of information Impact Learning points from experience. UHB Therapy Burns Project. Key Drivers Key Objectives

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Practicalities of data collection ahp s perspective

Practicalities of Data CollectionAHP’s Perspective

Lynne Douglas

Director AHP’s

NHS Lothian


Introduction

Introduction

  • Context of project to Step 4

  • Information available

  • Use of information

  • Impact

  • Learning points from experience


Uhb therapy burns project

UHBTherapy Burns Project

  • Key Drivers

  • Key Objectives

  • Small ‘Specialist’ staff group

  • Resistance to project

  • 15 months start to finish


Context 1

Context 1

Activity / Case mix

Core Business

Workforce

Tariff / Income


Practicalities of data collection ahp s perspective

Current Workforce-Routine


Quality

Quality

2004 Review National Burns Care

National Burns Standards

Service redesign


Analysis of data

Analysis of data

  • What are the therapists currently doing?

  • Who are they seeing?

  • How to predict workforce based on recent trends?

  • Service redesign improve efficiency


Data systems

Data Systems

  • Investment sustained in data collection UHB

  • Lorenzo Administration System

  • Health Informatics

  • Data manager infrastructure

  • Allocated resource to obtain Information


Data definitions

Data Definitions


Therapy activity 04 06 12 06 internal

Therapy Activity 04/06-12/06 Internal

Unit=15mins


Drill down

Drill Down

  • Detailed analysis of tasks, time utilisation

  • Identified unique role/tasks across whole skill mix

  • Evaluated against known activity

  • Identified many inefficiencies and issues

  • Took us into comprehensive redesign


Understanding workforce activity snapshot

Understanding Workforce Activity- Snapshot


Looking at wider picture

Looking at widerpicture

  • External Stakeholders:

  • Patient activity

  • Flow

  • LOS

  • Complexity


Patient admissions trends

Patient Admissions- Trends


Practicalities of data collection ahp s perspective

Burns Unit Admissions 05/06

Burns Unit Admissions 01/02

40

45

40

35

35

30

0-29%

0-29%

30

25

25

Number

30-59%

20

30-59%

20

15

15

>60%

>60%

10

10

5

5

0

0

08/2005

09/2005

10/2005

11/2005

12/2005

01/2006

02/2006

03/2006

07/2005

04/2005

05/2005

06/2005

04/2001

06/2001

08/2001

12/2001

02/2002

10/2001


Practicalities of data collection ahp s perspective

Length of Stay per day of admission

9.00

8.00

7.00

6.00

5.00

4.00

3.00

2.00

1.00

0.00

Friday

Sunday

Monday

Tuesday

Saturday

Thursday

Wednesday


Mortality

Mortality


Key recommendations

Key Recommendations

  • Continuity of care – 7 day service

  • Implement workforce development plan

  • Physiotherapy out -patient service

  • Multi-therapy assistant role in Unit- improve capacity


Practicalities of data collection ahp s perspective

Projected Workforce


Impact

Impact

  • Information was timeous and available

  • Information arrived pre-analysed/validated

  • Data transformed into meaningful information

  • Context enabled key individuals to see potential of investment


Result

Result

  • Bid was prioritised to go forward

  • Financial package to fund aspects achieved in 2007

  • Implementation for therapies in 2008

  • Staff and patient satisfaction much greater.

  • £180K Secured


Conclusion

Conclusion

  • Live example of a data collection story

  • One piece of information can and should lead to another

  • Analyse what you have

  • Think about drivers relating to what you need

  • Devise a plan


Bumps on the way

Bumps on the way

  • Principles remain the same

  • Process remains the same

  • Resourcefulness important

  • Use creative methods

  • End result potentially the same


Workshop

Workshop

  • In groups consider the following:

    • Methods by which you would collect data in your host boards

    • What tools might you use

    • What do you think created biggest impact to facilitate change?

    • ? Quality ?Activity? External Data information

    • Report back in groups


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