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Collaboration and Proactive Teamwork Used to Reduce (CAPTURE) Falls Part 2: Know Falls: An Online Organizational Tool for Fall Risk Reduction COMPASS Hospital Improvement Innovation Network July 18, 2017 Anne Skinner, RHIA, MS ([email protected]) Katherine J. Jones, PT, PhD ([email protected])

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Page 1: Collaboration and Proactive Teamwork Used to Reduce ......Collaboration and Proactive Teamwork Used to Reduce (CAPTURE) Falls Part 2: Know Falls: An Online Organizational Tool for

Collaboration and Proactive Teamwork Used to Reduce(CAPTURE) Falls Part 2: Know Falls: An Online Organizational Tool for Fall Risk Reduction

COMPASS Hospital Improvement Innovation Network July 18, 2017

Anne Skinner, RHIA, MS ([email protected])Katherine J. Jones, PT, PhD ([email protected])

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The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality.

Disclosure

This project is supported by:• Grants R18HS021429 and

R03HS024630 from the Agency for Healthcare Research and Quality

• Nebraska Department of Health and Human Services, Division of Public Health and the Nebraska Office of Rural Hospital Flexibility Program

• University of Nebraska Medical Center College of Medicine Summer Research Scholarships

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Research TeamUniversity of Nebraska Medical Center

– Katherine Jones, PT, PhD– Victoria Kennel, PhD– Anne Skinner, RHIA, MS– Dawn Venema, PT, PhD– Jane Potter, MD– Linda Sobeski, PharmD– Robin High, MBA, MA– Kristen Topliff, DPT– Caleb Schantz, DPT– Mary Wood– Fran Higgins, MA, ADWR

University of Nebraska-Omaha

– Roni Reiter-Palmon, PhD– Joseph Allen, PhD– John Crowe, MA

Nebraska Medicine– Regina Nailon, RN, PhD

Methodist Hospital– Deborah Conley, MSN,

APRN-CNS, GCNS-BC, FNGNA

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Objectives

1. Describe the Data, Information Knowledge, Wisdom (DIKW) framework

2. Recognize the barriers to organizational learning from traditional fall event reports.

3. Explain how the “Know Falls” Learning System uses the DIKW framework to facilitate critical thinking and organizational learning at the patient, unit, and system levels.

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Background

p=.003*

p=.07*

6.0

1.9

4.6

0.9

0.01.02.03.04.05.06.07.0

All Falls Injurious Falls

Even

t Rat

e/10

00 p

atie

nt d

ays

No, Team Does NOT Reflect (n=37) Yes, Team Reflects (n=23)

p=.07*

p=.003*

*Negative binomial model (Jones et. al, 2015)

Does your fall risk reduction team reflect and learn from data?

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6

Collecting, interpreting, and learning from data is the

foundation of quality improvement and patient safety

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Generate Ideas

Test Ideas

Spread Ideas

CAPTURE Falls

7

Phase 1 2011

Risk of falls greater in CAHs than non-CAHs

Lack reporting structure for benchmarking and learning

Lack team structure to implement org. processes

Phase 2 2012 – 2015

Effective interprofessional coordinating teams decrease fall rates Standardize Plan Real-time

adjustment

Phase 3 2016 – 2018

Expand, sustain coordinating teams

Implement online information system to standardize reporting, benchmarking, and learning from falls

Use coordinating teams to address all quality goals

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Fall Risk Reduction System

Structure Process Outcome (Fall Risk)

1. Multi-Team Systema. Coordinating

Teamb. Core Teamc. Contingency

Team2. Valid risk

assessment tools3. Reporting/learning

system

1. Reliably implement bedside processes

2. Coordinate processes 3. Conduct Training

1) Overall Program2) Fall Risk Assessment3) Safe Transfers/

Mobility4) Use of Mechanical

Lifts5) Post-fall Huddles

4. Conduct Post-fall Huddles

1. Total Fall Rate2. Unassisted Fall

Rate3. Injurious Fall

Rate4. Repeat Fall Rate5. Reporting Fall

Outcomes

(Donabedian, 2003)

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Structure: Fall Risk Reduction MTSCore Team—people who provide direct patient care • Diagnose and treat using

evidence-based care plan• Conduct fall risk assessment• Implement universal and

targeted interventions that address risk factors

• Conduct medication review• Evaluate mobility and

function• Report and learn from

falls—participate in post-fall huddles

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Structure: Fall Risk Reduction MTSContingency Team—members from various teams conduct post-fall huddle• Meet immediately after a fall to

determine what happened, why it happened, what will be done differently…ADJUST

• Goals: 1. Decrease risk of future falls for an individual patient2. Apply what is learned to decrease risk across system3. Build trust and share knowledge

(Reiter-Palmon et al., 2015)

http://www.unmc.edu/patient-safety/capturefalls/tool-inventory.html

Post-Fall Huddle Tools

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Coordinating Team—nurse champion, CNA, pharmacist, PT/OT, QI, senior leader• Manage resources• Coordinate fall risk reduction program and interventions• Hold core team accountable for reliably implementing

evidence-based interventions…• Span location, status/hierarchy, and knowledge boundaries

across disciplines (Edmondson, 2012)

Structure: Fall Risk Reduction MTS

St. Francis Memorial Hospital Fall Risk Reduction Coordinating Team

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Multi-team System for Fall Risk Reduction

Core Team Contingency Team

Coordinating Team

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Knowledge about the System Begins with Reporting

Systems dynamics model for fall risk reduction

Feedback Loop

Effective Fall Risk

Reduction Practices

Patient Falls

Report Fall Event

Aggregate Data and

Make Sense of Events

Implement Changes Based on Analysis

-

++

+

+

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DIKW Hierarchy4-7

Wisdom

Knowledge

Information

DataFall

Reports

Data Analysis

Sense Making

Change Fall Risk

Reduction Practices

Patient Falls

Fall Event Reporting

System

Ackoff, R. (1989). From Data to Wisdom.pdf. Journal of Applied Systems Analysis, 16, 3–9.

Reflect/ make sense

“Know Why and Take Action”

Place patterns into context

“Know How”

Aggregate data“Know Who, What, When, Where, How

Many”

Record observations in

database“Know Nothing”

Past

Exp

erie

nce

Futu

re

Actio

ns

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DIKW Hierarchy5-7

• Data-Symbols that represent objects, events, and their environment; what we observe

• Information-Data that are connected and reduced into patterns to answer questions…who, what, when, where, how many

• Knowledge-How a system works; the ability to control a system and give instructions in its use

• Wisdom-Answers “WHY?” The ability to use judgment to implement the most appropriate behaviors and systems to prevent problems

15

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http://www.unmc.edu/patient-safety/capturefalls/reporting.html

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http://www.unmc.edu/patient-safety/capturefalls/reporting.html

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Puzzle Analogy• Each piece of information can be thought of

as one puzzle piece• The pieces have to be brought together to

create the whole…knowledge

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Effective Reporting Systems3

1. Nonpunitive

2. Confidential

3. Independent

4. Expert Analysis

5. Timely

6. Systems oriented

7. Responsive19

Hos

pita

l Cul

ture

Sens

emak

ing

Supp

ort f

rom

Pr

ojec

t

Characteristics

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Paper Event Reporting

• Security• Lack of standardization• Paper management• Version management• Individual events• Data entry needed for

aggregate analysis• System flow• Time lag• Static / Checklist oriented…

20

Barriers

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Know Falls Learning System

21

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Know Falls Learning System

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• Secure online standardized fall event data collection tool for front line staff

• Promotes critical thinking through logic based form items

• Supports effective post-fall huddles• Provides real-time reports to assist

interprofessional Fall Risk Reduction Teams in identifying and address system weaknesses

• Builds a shared knowledge-base of fall risks and effective interventions in CAHs

• Facilitates creation of a fall rate benchmark

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Know Falls Learning System

Fall Event Learning

Form

Post-fall Huddle Form

System Learning

Form

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– Research Data Capture tool developed by Vanderbilt University to securely connect researchers and data

– Administered by UNMC Research Information Technology Office

– Password protected user accounts– Users assigned to Data Access Groups

Know Falls Learning System

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Know Falls Learning System

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Know Falls Learning System

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Know Falls Learning System

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

If no, why not?

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Event Learning Form

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Know Falls: Post-fall Huddle

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Know Falls: Post-fall Huddle

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Know Falls: Post-fall Huddle

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Know Falls: System Learning

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Know Falls: System Learning

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Know Falls: System Learning

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Know Falls: System Learning

ORGANIZATIONAL LEARNING

FEEDBACK LOOP

OR

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Paper Event Reporting

• Security• Lack of standardization• Paper management• Version management• Individual events• Data entry needed for

aggregate analysis• System flow• Time lag• Static / Checklist oriented…

47

Barriers

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Help us Improve KNOW Falls• Recruiting 5 hospitals outside Nebraska

as additional beta test sites• What’s in it for you? At NO cost…

– Full use of KNOW Falls to collect data, reflect on information, know system vulnerabilities, and develop the wisdom to improve fall risk reduction system

– Access to reports built from aggregate data to facilitate reflection and learning about your fall risk reduction system

• What do you need to do?– Email Anne Skinner ([email protected])

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The Future!Anticipate that KNOW Falls will be available on a subscription basis Sept. 2018

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Contact InformationAnne Skinner, RHIA, MS [email protected] Jones, PT, PhD [email protected] Kennel, PhD [email protected]

Toolkit available at:

C A P T U R ECollaboration and Proactive Teamwork Used to Reduce

Fallshttp://www.unmc.edu/patient-safety/capturefalls/

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1. Jones KJ, Venema DM, Nailon R, Skinner AM, High R, Kennel V. Shifting the paradigm: An assessment of the quality of fall risk reduction in Nebraska’s hospitals. J Rural Health. 2015;31:135-145.

2. UNMC. College of Medicine. Patient Safety. CAPTURE Falls Tool Inventory. Available at: http://www.unmc.edu/patient-safety/cf_tool_inventory.htm

3. Leape LL. Reporting of adverse events. N Engl J Med. 2002; 347 (20):1633-1638.

4. Ackoff, R. (1989). From Data to Wisdom.pdf. Journal of Applied Systems Analysis, 16, 3–9.5. Rowley J. Where is the wisdom that we have lost in knowledge? Journal of Documentation.

2006;62:251-270.6. Zeleny M. (2006). Knowledge-information autopoietic cycle : towards the wisdom systems .

International Journal of Management and Decision Making. 2006;7:3 – 18.7. Bernstein JH. The data-information-knowledge-wisdom hierarchy and its antithesis.

Proceedings North American Symposium on Knowledge Organization, Vol. 2 2009. Available at: http://www.academia.edu/343239/The_data-information-knowledge-wisdom_hierarchy_and_its_antithesis

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References

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CAPTURE Falls Research TeamUniversity of Nebraska Medical Center–Katherine Jones, PT, PhD–Victoria Kennel, PhD (I/O psychologist)

–Dawn Venema, PT, PhD–Anne Skinner, RHIA,MS–Mary Wood

University of Nebraska at Omaha Center for Collaboration Science–John Crowe, MS (I/O psychology graduate student)

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Polling Question

HOW ARE WE DOING

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Community of Practice Upcoming Events

August Fall Prevention CoP

Tuesday, August 15th at 11 AMPart 3: Collaboration And Proactive Teamwork Used to Reduce (CAPTURE) Falls

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Falls Prevention Awareness Day

September 22, 201710th annual Falls Prevention Awareness Day (FPAD) Sept. 22, 2017—the first day of fallIn honor of this notable milestone, the theme of the event will be

10 Years Standing Together to Prevent Falls

https://www.ncoa.org/healthy-aging/falls-prevention/falls-prevention-awareness-day/

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Contact

Lana Comstock, MSN, RNHIIN Improvement Advisor

Iowa Healthcare Collaborative

[email protected]