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Uses of HMIS to Support Disaster Operations and Recovery: Lessons Learned from Katrina/Rita

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Based on Drabek, 1986 ... All HMIS & 2-1-1 Regions use same vendor product ... Guesstimates ranged between 2,000 and 40,000. ... – PowerPoint PPT presentation

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Title: Uses of HMIS to Support Disaster Operations and Recovery: Lessons Learned from Katrina/Rita


1
Uses of HMIS to Support Disaster Operations and
Recovery Lessons Learned from Katrina/Rita
  • Brian Sokol, National HMIS TA Initiative, Abt
    Associates
  • David Talbot, DSI Inc.
  • Fran Ledger, Canavan Associates
  • David Canavan, Canavan Associates (Facilitator)

2
Overview
  • Learning Objectives
  • Dynamics of Disaster Response
  • Role of Information Management in Disasters
  • HMIS Usage in 2-1-1 Disaster/Recovery Efforts in
    Louisiana
  • City Of San Antonio uses of HMIS in Disaster
    Response

3
Learning Objectives
  • Increased understanding of the possible functions
    of HMIS during and after a major disaster.
  • Provide a broad cross section of obstacles
    encountered and successful interim and long-term
    solutions developed.

4
The Dynamics of Disaster Response
  • Brian Sokol, Abt Associates

5
The Dynamics of Disaster Response
  • Katrina and Rita
  • The Context Homeless Services within the Total
    Disaster Response
  • Stages of Disaster
  • Proximity to Disaster
  • Emergency Support Functions
  • Respondents/Organizations in a Disaster
  • Types of Respondents
  • Components of Organization
  • Mission Conflict
  • Information Management and Data Coordination
  • Disasters Disrupt the Response
  • Planner vs. Academic Perspectives

6
Hurricanes Katrina and Rita
7
Eight Stages of Disaster Response
  • Preparedness
  • Planning
  • Warning
  • Response Day Of Impact
  • Pre-Impact
  • Post-Impact
  • Recovery
  • Restoration (six months)
  • Reconstruction
  • Mitigation
  • Hazard Perceptions
  • Adjustments

Cycles
Homeless Services
Where we are now
Based on Drabek, 1986
8
Spatial Dimensions
Organized Aid Life goes on as normal, except for
volunteerism
Filter Staging Ground for Relief Activities
Fringe Impact Some Damage
Homeless Services
Total Impact
Dynes, 1970
9
Mapping the Storms in Space and Time
Rita
Katrina
Source Louisiana Hurricane Impact Atlas
10
Aspects of Disaster Response Emergency Support
Functions
  • Transportation
  • Communications
  • Public works and engineering
  • Firefighting
  • Emergency management
  • Mass care, housing and human services
  • Resource support
  • Public health and medical services
  • Urban search and rescue
  • Oil and hazardous materials
  • Agriculture and natural resources
  • Energy
  • Public safety and security
  • Long-term community recovery and mitigation
  • External affairs

Homeless Services
Dept of Homeland Security, National Response
Plan, 2004
11
ESF-6 Mass care, housing and human services
  • Lead Agencies Red Cross and FEMA
  • Tasks
  • Sheltering
  • Feeding
  • Emergency first aid
  • Providing information about victims
  • Unifying families
  • Bulk distribution
  • Short-term and long-term housing assistance
  • Crisis counseling
  • Providing for special needs victims
  • Processing benefit claims
  • Delivering ice, water, and emergency commodities
  • Mail service to affected areas

12
Respondents to a Disaster
Structure/Staffing
Walk-in Volunteers (Skilled/ Unskilled)
Tasks/ Mission
Homeless Services
Dynes, 1970
13
Components of Organization
Social Order More Coordinated
Collective Behavior More Flexible
Which comes first?
  • Domain
  • Formal recognition of authority
  • Task
  • Formal division of labor
  • Resources
  • Mobilized people and technologies
  • Activities
  • Specific behavior of people or groups

Kreps et al. 1986, 1989, 1993
14
Mission Conflicts within Shelters
  • Crisis Management
  • Return community to normalcy
  • Focus on basic needs and operations
  • Loose privacy and eligibility rules
  • FEMA/Local Respondents/Red Cross (?)
  • Residents are Evacuees
  • Sample goal Close evacuation shelters quickly
  • Human Services
  • Restore individual lives to normalcy
  • Overall Case Management
  • Tight privacy and eligibility controls
  • Victims/Human Service Organizations
  • Residents are Homeless
  • Sample goal Keep shelters open as needed

15
Information Management Processes
  • Registration and Headcounts
  • Who is in the shelter?
  • Public Safety
  • Ordering Supplies/Meals
  • Tracking Vacancies/Reserving Beds
  • Reunite Families
  • Linking to Benefits and Services
  • Coordinate Case Management

16
Axes of Data Coordination
  • Intra-Organizational
  • Same db for shelter registration, missing
    persons, case management, benefits receipt,
    health?
  • Inter-Organizational
  • Geographic Breadth
  • One db for all evacuees across the country?
  • Disaster/Non-Disaster Depth
  • Use the same db (HMIS) for evacuation and
    homeless shelters?
  • Coordination attempts can conflict with each
    other.
  • E.g., coordinating between disaster shelters and
    the homeless system within a region may mean
    using a different disaster system than the rest
    of the country.
  • Impossible to coordinate across all axes at once.

17
Model of Information Management in Disasters
Those most self-sufficient exit faster, creating
a shift in mission, activities, and appropriate
systems
Population Type
Conflict
Time
18
Disasters Disrupt the Response
  • Emergency Management Perspective
  • The goal should be for the victim to encounter
    one person who gathers all the necessary data and
    inputs it into a database that is shared and
    transparent among all human service providers at
    the Federal, State and local level as required.
    This will likely increase efficiency, reduce
    frustration of evacuees and expedite the delivery
    of services for eligible recipients.
  • (The Federal Response To Hurricane Katrina
    Lessons Learned. White House Report, 2006)

19
Can this ever work in a Disaster?
Hypothesis If all these elements were addressed
in advance, then a comprehensive data system
could work.
20
Response to Rita at the Hirsch Shelter in
Shreveport
  • Rita can be seen as a test case for the
    hypothesis. By the time Rita hit everything was
    up and running. What happened?
  • Computers moved out to make room for cots
  • 500 new people showed up, overwhelming intake
    processes handed paper forms
  • Software experts left town, having lost their
    hotel rooms to evacuees
  • Volunteers reverted to their comfort zone
  • Rita hit Shreveport
  • Water seeped through roof and floors
    (electrocution risk)
  • Case mgmt volunteers re-tasked to sandbagging
    and trench digging
  • Intermittent blackouts

21
Response to Rita at the Hirsch Shelter in
Shreveport
9/22 4PM
Same Room, 9/22 8PM
22
Disasters Disrupt the Response
  • Unlike other emergencies, no clear distinction
    between incident and response, victim and helper
  • Organizations have to respond to being directly
    impacted themselves (e.g., there can be direct
    and indirect loss of personnel, resources,
    equipment, and facilities) (Quarantelli, 1989)
  • Disasters almost always create the wrong
    conditions and cut off planned resources
  • Example NYCs Office of Emergency Management was
    destroyed on 9/11

23
Academic Perspective
  • Much traditional disaster planning takes the
    disorganizing aspects of emergencyand attempts
    to achieve greater rationality and control of the
    anticipated situation...
  • but the disorganizing aspects are necessary
    in order to develop the mobilization required to
    cope with the tasks at hand
  • the end result is more rational and, in time,
    more efficient since a community has restructured
    itself to meet a set of problems which its
    previous structure could not.
  • Disaster planning should be made in the context
    of these natural processes set off by a disaster
    event
  • It should facilitate these processes, not
    impose a model of human and technological
    efficiency which has little relationship to
    reality. (Dynes, 1970)

24
Summary Thoughts
  • Information management planners for disaster
    shelters should account for the following
  • Shelters have evolving missions and diverse
    populations
  • Evacuation Shelter Manage the crisis return
    to normalcy
  • Homeless Shelter Provide long-term human
    services
  • Order and coordination are often at odds with
    flexibility and adaptation disordered sometimes
    better
  • Disasters disrupt the environment of disaster
    response.
  • Avoid systems requiring expertise and
    infrastructure that are likely to fail under
    disaster conditions.

25
HMIS Usage in 2-1-1 Disaster/Recovery Efforts
  • Fran Ledger,
  • Canavan Associates

26
  • It is not the strongest of the species that
    survives, nor the most intelligent, but the one
    most responsive to change.
  • Charles Darwin

27
Louisianas HMIS and 2-1-1 History
  • Nine HMIS Regions and Six 2-1-1 Regions
  • All HMIS 2-1-1 Regions use same vendor product
  • HMIS 2-1-1 has overlapping management
    software system
  • 1 Software System 1 Agency
  • New Orleans
  • Shreveport
  • Lake Charles
  • 1 Software System 2 Agencies
  • Baton Rouge
  • Lafayette
  • Monroe
  • 2 Software Systems 2 Agencies
  • Hammond
  • Houma
  • Alexandria

28
Key Components
  • HMIS effectiveness will decrease with unclear
    leadership and limited controls
  • Keys to disaster HMIS usage
  • Clear chain of command
  • Rapid quality assurance

29
Louisiana HMIS Response Timeline
  • Friday, August 26th
  • MOUs Activated
  • UWNELA VIA LINK
  • Office of Emergency Preparedness UWNELA
  • Sunday, August 28th
  • Mandatory Evacuation of New Orleans
  • 1300 calls in first 12 hours
  • VIA LINK staff relocating to UWNELA

30
Louisiana HMIS Response Timeline
  • Monday, August 29th
  • Katrina makes landfall
  • Levee failures flood 80 of New Orleans,
  • 1/3 of Louisiana housing damaged or destroyed
  • Wednesday, August 31st
  • New Orleans telephone landlines fail
  • United Way of America with CenturyTel expands
    UWNELA call center

31
Louisiana HMIS Response Timeline
  • Wednesday, August 31st
  • 4 Hours 4 lines ? 56 lines
  • All cell phone 2-1-1 calls route to UWNELA
  • Call types roof top rescues ? clothing donation
  • Thursday, September 1st
  • 2500 calls/day
  • UWNELA staff on 20 hr shifts
  • United Way of America requests 2-1-1 volunteers
    from around the country on its 2-1-1 listserve
  • HUD, first federal agency to offer National
    Technical Consultants and resources

32
Louisiana HMIS Response Timeline
  • Saturday, September 3rd
  • Arrival of National Call Center and Resource
    Manager Specialist
  • Multi-state disaster HMIS launched
  • Monday, September 5th
  • 8,000 calls/day
  • Mass need swamps FEMA Red Cross
  • UNWELA houses and feeds 70 volunteers

33
Louisiana HMIS Response Timeline
  • Saturday, September 17th
  • 48 desktops arrive from HUD
  • Call Center transitions from paper/pencil ? HMIS
  • Saturday, September 24th
  • HUD consultants on site
  • 12,000 federal, state, and local resources made
    available
  • Rita hits 310-Info evacuates to UWNELA
  • 4,000 - 6,000 calls/day
  • CNN, Red Cross FEMA publicize 2-1-1

34
Louisiana HMIS Response Timeline
  • Tuesday, November 8th- 10th
  • VIA LINK transitions back to New Orleans
  • National Volunteers Depart
  • 50,000 call sheets to be entered
  • Today
  • Regional 2-1-1s have revised MOUs
  • Regional 2-1-1s developing single phone system
  • Regional HMISs developing statewide HMIS

35
  • Special Thanks to
  • All the call center volunteers, local and
    national, for answering the call in our countries
    greatest tragedy!
  • Janet Durden, Executive Director, United Way of
    Northeast Louisiana
  • Marguerite Redwine, CEO, VIA LINK
  • Karen Puckett, President, CenturyTel
  • Peter Bishop, United Way of America
  • Mike Roanhouse, Department of Housing and Urban
    Development
  • Robert Bowman, President, Bowman Internet
    Systems, LLC
  • Melissa Flourney, President, Louisiana
    Association of Non-Profit Organizations, LANO
  • My Landlord on Elm St. for chairs to sit on and a
    rental to put them in!

36
Mass Shelters-City Of San AntonioSuccesses and
Lessons Learned in managing 17,000 refugees in
the city of San Antonio
  • David Talbot
  • VP of DevelopmentData Systems International

37
Facilities
  • Multiple facilities, not all connected
  • Kelly USA
  • Former US Air Force Base
  • Maze like-difficult to navigate
  • Multiple massive buildings
  • Freeman Coliseum
  • Huge single area
  • LEVI
  • Huge single area

38
Prior To Arrival
  • Around a 12 hour notice that the city would
    receive a fairly sizable number of evacuees.
  • No one could quantify or give a vague range of
    numbers to expect.
  • Guesstimates ranged between 2,000 and 40,000.
  • The city immediately recognized this wasnt a
    short term disaster but a long term homeless
    problem and elected to use their HMIS system from
    day one.
  • City began tapping resources, favors,
    beg/borrow/steal facilities, food, connectivity,
    medicine, volunteers.

39
Prior To Arrival-Continued
  • Facilities were set up
  • Designated medical areas, bathing, etc
  • Shelter bed areas were divided into a grid.
  • Red Cross intake forms underwent minor
    modification to add
  • Wrist Band ID
  • Assigned Section
  • HMIS System was customized by the city to contain
    only the fields on the customized red cross
    intake.

40
A (fuzzy) look at the shelter
Grid Location
41
Evolution of HMIS usage-Phase 1
  • Phase 1-Missing Persons
  • Data Entry done by 200 concurrent untrained
    volunteers, constant rotation of new blood made
    training impossible.
  • Some at local colleges working in two computer
    labs
  • Keller-Williams Reality provided a good source of
    computer literate volunteers.
  • System was customized to give the user two
    functions with a single path through the
    system-Find Clients/Add Client
  • Rapid integration and collapsing of disparate
    systems.
  • Excel spreadsheets/Access Databases/Other Systems
  • Systems have a tendency to multiply like rabbits.
  • Imported data from all systems in the greater San
    Antonio area, got all Katrina sites using the
    same system, then uploaded batch to Katrina safe.
  • Wristbands and Grid Location in HMIS made it
    relatively easy to locate clients.
  • Some normal system security measures were
    disabled (not all).

42
Evolution of HMIS usage-Phase 2
  • Phase 2-Transition out as many people as possible
  • New workgroup was created with expanded
    functionality specifically around the data points
    enabling a quick transition out of the shelter.
  • Section 8 Enrollments in LASection 8 in Texas
  • The Phase 1 super simple workgroup continued to
    operate for missing persons.
  • Wristbands and Grid Location in HMIS made it
    relatively easy to locate clients.
  • Normal system security measures re-enabled.
  • Rita hit about this time, yielding a batch of
    short term evacuees.

43
Evolution of HMIS usage-Phase 3
  • Phase 3-Case Management
  • Virtually every evacuee was special needs of
    some sort- . Very old, disabled, children without
    parents
  • System was expanded to full regular case
    management mode for case managers who began
    working with everyone in the shelter.
  • During Phase 3, FEMA started bussing/flying in
    evacuees from other locations to consolidate
    efforts.
  • Phase 3 transitioned into the Shaw Group, a
    subsidiary of Halliburton, that was contracted by
    FEMA to transition the remaining people out of
    shelters.
  • They were given a workgroup and a group of user
    ids, the city was removed from management of the
    shelter.

44
In Retrospect
  • What worked well
  • Wrist Bands
  • Grid Locations
  • Remote Data Entry Sites
  • Private business assistance (HEB, Keller
    Williams, Rackspace)
  • What was a challenge
  • Red Cross Intake Form
  • Dozens of centralized Katrina databases on the
    internet.
  • No clear chain of command. City? Red Cross? FEMA?
  • Information Release problems
  • Infrastructure

45
Next time around
  • Recommended changes to intake forms
  • Drop pre-disaster address
  • Add birth date in addition to age
  • Better family structure and a clearer definition
    as to if the family is together at shelter or
    not.
  • A question Were you enrolled in any government
    assistance programs?
  • Opt Out I do not want my information posted
    publicly.
  • Chain of command is clearer and defined from day
    1?
  • Localities handling evacuees use local HMIS
    system uploading to a single publicly searchable
    database via a defined standard such as HUD XML.

46
Questions
  • For more information on these presentations
    please contact our presenters at
  • Brian Sokol at brian_sokol_at_abtassoc.com
  • Fran Ledger at fran_at_davidcanavan.com
  • David Talbot at david_at_data-systems.com
  • For more information on HUDs Disaster Technical
    Assistance Project, contact
  • David Canavan at david_at_davidcanavan.com
  • Ann Oliva at ann.oliva_at_gmail.com.
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