-
Image Up Front
[JESSIE NOT A GreatBed!]
"It can be hard to capture a telling photo of physcial abuse"
Jessie in on the bottom of the pile getting beat up in his own not-so-great "Bed"
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MSG Cemetery At The End
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Header Information
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Item
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Primary
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Secondary
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Title
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20200219-W: Housing Advisory
(HAB) – Statistic Study Centered About Homeless in Orange County CA
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Housing the Disadvantaged and
Impoverished
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Author
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Primary Author
Keith “Buster” Torkelson MS,
BS, PHW
|
Avey CE Asus
LAW1
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Modes
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Blog
Email
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Platforms
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HAB
Animacules
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Associated with OCHCA MHSA
Innovation Project Idea – HOUSING Help Line
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Date
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February 19, 2020 (W)
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Length
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“>” 70 Pages
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Compensation
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Meaningful Engagement
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Non-profit
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File
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Primary Working File
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[See Below]
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Last Reviewed: 20200218-TU:
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Primary File:
02_LA_HAB_Housing_Statistics_19102701_Working-I V2020
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Dedication
We here at Mentalation Solutions
Group (MSG) dedicate this report to Mark Refowitz, Jeffery A Nagel, Mary Hale,
Lanaii Kline, Candace Brinsko, Gloria Shanks, Kathleen Murray, Chester D
Mojica, Rimal B Bera, Clayton Chau, LaTonya Tingstad and the rest Here on OC’s
Isle.
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In Memory Of…
For this report we honor those in
Orange County that Died Too Young (DTY).
The people we honor here we associated with in person. A sampling of them is: Doug K, DeWitt C,
Eugene F, Lee, Matt H, Mark, and Raul R.
We also include those Missing In Action (MIA) such as: Sam I Am, Mark A,
Clayton C, Elaine D, Jodi R, Jessie, Dave D, Devin V, Wendy W and Lisa B. “Buster” MSG’s principal’s brother DTY and as
a result “Buster” has been studying the DTY population on and off since
1969. This notation would quality and
“Bargaining”. [MSG Cemetery @ the End]
-
Abstract
This report contains a sampling
of statistics centered about HOUSING need and unmet need for the impoverished
peoples of Orange County California. Buy
now means is what we report here a complete set. We compile this numbers and facts in order to
support our HOUSING Help Line (HHL) Project Idea. Eventually we will buttress the HHL with more
Mentalation Solutions Group (MSG) HOUSING Related Products. Much of the motivation to “Fix” HOUSING
problems is associated with the Homeless Peoples of Orange County. Yet in reality we hope to help any of the impoverished
peoples find and afford a GreatBed. In
order to qualify for HOUSING impoverished people only need to ask. We have found with other HOUSING programs in
Orange County that: Criteria Can Kill!
In the past, MSG and “Buster” have submitted our Project Ideas using only
the channel: Mental Health Service Act (MHSA) Innovations Component Idea. For our HHL Project Plan we will as a minimum
share it as an MHSA as well as a publication in one or more our Blogs. We hope that the “Fixes” (Lessons Learned) on
the journey may benefit anyone in our Blog Sphere that has an unmet HOUSING
need. Again we would like to that: Dedicated
To: Kathleen Murray, Mark Refowitz, Mary Hale, Lanaii Kline, and Candace
Brinsko for helping “Buster” out As Needed (PRN). The process of inventorying “Beds” in
Orange County is far from over. In this
report we discuss at bit of MSG’s “SleepAbility Paradigm.
-
Executive Summary
We find huge “Gaps” in the
GreatBed supply line. We address some
special populations such: Criminals and State Mental Hospital Guests. Of all the statistics present here the one
that stands out is the quote for the cost of a homeless person in Orange
County. The reporting agency set the
cost at about $100K per person per year.
We share here a few trends. For
example one source indicates the homeless population in Orange County in
increasing. We are Mentalation Solutions
Group (MSG) our Principal is Keith “Buster” Torkelson MS, BS, PHW. I am Avey CE Asus. We wish to make a tangible and measurable
improvement with delivering GreatBeds for Great People!
In the future we will ask for $1E6 per year to get started making a
difference. We also include some:
“History that deserves to not be forgotten”.
These statistics are fairly accurate yet some errors will occur.
-
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Inventorying the “Beds”
One of the key elements for supporting MSG’s HOUSING Help
Line is a thorough and ongoing inventory of all beds in “The OC”. We find it is better to know too much than
rather not enough. Below is a figure of
some of our notes regarding “Bed” Inventories.
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Figure - Metadata – HOUSING Research
-
List – Associated Papers
(Sample – Actually there are many more in the works)
-
08_HABIT_HAB_18081301_Models V2020
02_Housing_List_18060401_Index V2020
-
-
List – Tables – Matrices –
Figures
-
Table - Research - Data Search Sampling - Demographic and
Other Information
Table Blank – A Healthy Community Model
Table - Research - Data and Statistics & The role of
data and statistics
Table - The seven characteristics that define data quality
are:
Table Blank - First Contacts (Sample)
Table - Population – Chronically Homeless Persons – MHA
Service Year 2018
Figure – United Way on Chronic Homelessness
Table – United Way About Homelessness Cost & Benefits –
Share with Finances
Table - Share with Assessments – Homeless Centered
Assessment - United Way Set
Matrix – Annual Average Prevalence of Mental Health Need
Among Children
Matrix - Navigation / Access to Linkage MHSA Services
Numbers
Table - Recovery Technology -
All Topics – Integrated Projections
Matrix – Demographic - Housing (Census)
Matrix – Demographic - Families & Living Arrangements
(Census)
Matrix – Demographic - Income & Poverty (Census)
Matrix – Homeless Related
Statistics – Orange County California (LA Times 2019)
Figure – Cost & Benefit
Matrix - Cost Offset – Per Person – High End – Focus
Behavioral Health & SUD
Matrix - Costing – Liability - Per Person – Featuring
Hospitalization
Matrix - Costing – Asset - Per Person
Table Blank – Hospital Cost per Day per Individual
Table Blank – California’s Remaining State Hospitals (Beds)
Table Blank - Ten Unit State Hospital Categories Established
by Clinical Staffing Study
Table Blank – Features of State Hospital Consumers
Table Blank – Data Notebooks – Including
Table – A Mental Health Board (MHB) on Wellness
FYI - Figure – Kaiser Report Appendices
Table Blank - Reported
Barriers to Accessing Affordable Housing (2019 Kaiser)
Table – Typical Housing
Related Hardships (2019 - Kaiser)
Table Blank - Indicators of a Great “Bed” Match (Sample)
Table Blank – Counting Housing Related Call and Other
Volumes/Transactions
Table Blank - Findings –
Statistics – Populations in Need – All Referenced in Report
Table Blank – Surveying and Criteria - Places for Beds
-
[IN PART IB of 2 Parts]
-
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[IN PART IB of 2 Parts]
-
Table – Self-care Value of Housing Help Line Proposal
Table Blank – Substance Use Disorder (SUD) Complication –
Orange County
Table Blank – Core - Counts (Baseline
= BL) – Building “The Whole Story” About Beds
Matrix Blank – Core – Collecting Baselines Statistics
Matrix Blank – Core – Collecting Baselines Statistics
Figure – CBS News 2016 On Psychiatric Drug Usage
Table Blank – Age Ranges – Orange County California (Census)
Matrix – Psychotropic Medication Usage – Calculations for
Orange County
Table – Demographics – 65 Years or Older (Older Adult) -
Orange County 2016
Table Blank – Demographics – 65 Years or Older (Older Adult)
- Orange County 2016
Table Blank - Leading Causes of Death – Orange County
California (2013)
FYI - Table - What are the leading causes of death in the
US?
Table – Sampling Homeless Morbidity & Mortality
Table - 20180117 OC Register & Related – OC Homeless
Numbers
Table – Sample Homeless Fixes – Santa Ana – Yale/Courtyard -
Non-permanent
Table – Not A Permanent Fix – Shelter Resources – Santa Ana
(Beds Related)
-
Co-occurring Disorders *COD)
-
Table – Substance Use Complication Including DEATH – Orange
County
Table - A Reality Check (SUD)
Table Blank – Surveying About SUD/COD
Table – Substance Use Disorder (SUD) – Burden in Orange
County – FY 2017
Table – SUD Treatment Dreams - Treatment Impact Intentions
(SAMHSA)
-
-
Content Topic - Research
Table - Research - Data Search
Sampling - Demographic and Other Information
Source MSG-LE
-
|
||||
Resource
|
Considered Here (Example)
|
|||
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||||
Clearinghouses
|
National Mental Health
Consumers’ Self-Help Clearinghouse
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Federal Agencies
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SAMHSA
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|||
State Agencies
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MHSOAC
|
|||
Foundations
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John Henry Foundation
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Other Nonprofits
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Casa Youth Shelter
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Scholarly Journals
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Journal of Health and Human
Services Administration
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Articles
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OC Register
|
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Industry Publications
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OCHCA
|
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Last Reviewed: 20200212-W: MSG-LE
= Mentalation Solutions Group – Lived Experience
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Content - Resources
“The table above alludes to “key
resources for gathering statistics and data. Search engines, like Google, and
knowledge-bases, like Wikipedia, can be good starting points; however you
should use them to reach well researched, objective, data sources”.”
-
A Place to Begin Research
Orange County Statistics |
Community Indicators Report 2018 (80 Pages)
-
Conclusion - Not In Scope (NSIS)
for housing the impoverished
-
Table Blank – A Healthy Community
Model
“…Healthy communities model that
includes five dimensions of health, including…”
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|
-
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|||
#
|
Dimension
|
Note
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||
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|||
1
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Individual health
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(healthy behaviors and outcomes
health disparities)
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||
2
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Environmental health
|
(clean air and clean water;
community safety)
|
||
3
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Civic health
|
(citizen engagement and
voluntary behavior)
|
||
4
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Community health
|
(socialization; availability of
health care and social services)
|
||
5
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Economic health
|
(robust and diverse local
economy)
|
||
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-
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Last Reviewed: 20200212-W:
-
-
Content - Literacy
Grant Writing Toolkit: The Needs
Statement - Center for...
-
Special Topic - FYI – Research
Basic Rules
Table - Research - Data and
Statistics & The role of data and statistics
-
-
|
||||
Rule
|
Description
|
For This Study
|
||
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|
||||
Timely
|
Data needs to be as recent as
possible
|
|||
Unbiased
|
Who did the research?
Who funded the research?
|
MSG and Buster
USD - HHS
|
||
Reliable
|
It is considered reputable by
other?
|
Mixed Method
|
||
Supporting
|
Should back up the issue you
want to address
|
HOUSING is a substantial issue:
Locally
|
||
Rely on Context
|
Try to compare apples to apples
|
Dollar amounts and counts
|
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Objective
|
Provides outside information to
substantiate the issue
|
We believe we met this criteria
|
||
Clean Data
|
See definition for Data
Cleansing
|
We will select tables to clean
up as needed (PRN)
|
||
Complete Data
|
Basic Tetrad
Time – Quality – Scope - Money
|
To of the best data sets for
completeness are invoices and lab test results
We did not meet our standards
for completeness
|
||
Satisfy Requirements
|
Requirement
Do not have to be perfect
|
We did satisfy our requirements
for the study
|
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Last Reviewed: 20200212-W:
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Content - Data cleansing -
Wikipedia
“Data cleansing or data cleaning
is the process of detecting and correcting (or removing) corrupt or inaccurate
records from a record set, table, or database and refers to identifying
incomplete, incorrect, inaccurate or irrelevant parts of the data and then
replacing, modifying, or deleting the dirty or coarse data.”
-
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Content - Seven Characteristics
That Define Quality Data
By Dan Ortega, Vice President
Marketing, Blazent Inc. | Jan 26, 2017 | Data Quality
-
“While many organizations boast
of having good data or improving the quality of their data, the real challenge
is defining what those qualities represent. What some consider good quality
others might view as poor. Judging the quality of data requires an examination
of its characteristics and then weighing those characteristics according to
what is most important to the organization and the application(s) for which they
are being used.”
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Table - The seven characteristics that define
data quality are:
-
|
|||
#
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Characteristic
|
In This Study
Quick Score Method (QSM)
|
|
-
|
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1
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Accuracy and Precision
|
Accuracy = 75%
Precision = 90%
|
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2
|
Legitimacy and Validity
|
Legitimacy = 80%
Validity = NA
|
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3
|
Reliability and Consistency
|
Reliability = 85%
Consistency = 60%
|
|
4
|
Timeliness and Relevance
|
Timeliness = 95%
Relevance = 95%
|
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5
|
Completeness
and Comprehensiveness
|
Completeness = 50%
Comprehensiveness = 65%
|
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6
|
Availability and Accessibility
|
Availability = 80%
Accessibility = 80%
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7
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Granularity and Uniqueness
|
Granularity = NA
Uniqueness = 95%
|
|
-
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Last Reviewed: 20200217-M:
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Lived
Experience – Shopping for Housing
Back
in 1989 Keith “Buster” Torkelson Mentalations Solutions Group’s (MSG’s)
pricipal was a registered student in the UC Davis’ School of Veterinary
Medicine. In the Winter Quarter (1989)
he was faced with an emergency move. He
used the Davis Yellow Pages to compile an apartment resource work list. He called about twenty apartments before he
selected Ivy Towne because of it location and price. In the end Ivy Towne was not the best fit
because of its’ proximity to the “Main” rail line. His inquiry – find rate was twenty (20) for
one (1).
-
Associated
Document
08_HABIT_HAB_18081301_Models
V2020
-
[Scan and Insert Sample Davis
Apartment Hunt]
-
-
-
Table Blank - First Contacts
(Sample)
Source MSG
-
|
|||||
Domain
|
Note
|
RTS
Score
|
|||
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|
|||||
Streets
|
MSG lacks the resources to make
a difference
|
X
|
|||
Shelter
|
Performance status by word of
mouth only
|
X
|
|||
Jail/Prison
|
Continuity of Care issue
|
X
|
|||
Hospital
|
Patients’ Rights could help
more with housing issues
|
X
|
|||
IMD
|
Release plans might have more
of a measurable benefit
|
X
|
|||
Marketing Material
|
Attempt to share at upcoming
2020 Meeting Of the Minds
|
||||
Word of Mouth
|
Succeed on consumer at a time
Build a strong reputation
|
||||
Family
|
Most families lack the
resources to help their loved one secure a GreatBed
|
||||
Board & Care
|
Having observed a half dozen or
so B&Cs in Orange and LA counties we conclude that B&C qualify as
“Traps”
|
X
|
|||
SUD Residential Treatment
Program
|
Need share measures and results
about all consumers they serve
|
X
|
|||
Room & Board
|
We prefer calling them Rent A
Shared Rooms (*)
|
||||
Graded & Graduated Housing
|
MSG Goal
|
||||
Conference
|
Dedicated HOUSING Conferences
twice per year
|
||||
School
|
Great location for early and
preventive efforts
Health & Human Services
might best be introduced in High School Health Class
|
||||
-
|
|||||
Other
|
|||||
-
|
Last Reviewed: 20200112-W: RTS =
Resistance To Solution
-
-
Resistance To Solution
Setting a time frame to achieve a
“Solution” can be very challenging as well as knowing the issue is actually
solved. This material here we release to
support our HOUSING Help Line Innovations Project (HHL-IP). Before she moved on OCHCA Deputy Director
Mary Hale shared in public that she believed: OC “HOUSING is a complex
issue”. Here at MSG we believe her
statement applies to the simpler cases.
The harder cases with seriously “Trapped” populations such as suicidal criminals
and HIV Positive Heroin addicts we class a “Resistant To Solution” (RTS). This means that in order fully-serve those
many “Fixes” will have to be applied. Many
impoverished peoples will never be fully served because they will go missing
(MIA) or die (KIA). Here at MSG we
specialize in honoring those that put themselves in harm’s way and went before
us.
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Defining Your Mission, Goals, and Objectives
MHSA_INN_HAB_18121302_VMV 2020
20200217-W: HAB Vision Statement
GreatBed HAB (formerly MoveNow
& OneBed) is dedicated to improving the residential lives of as many
disadvantaged peoples as possible through the integration of lived experience
and technology. This also includes
technological improvement as applied to the housing sector. We envision extending Electronic Health
Record functionality to include operability about housing fixes.
-
HAB & The GreatBed Initiative
-
GreatBed Initiative
GreatBed shall be achieved
through:
-
- Joint Education
- Communication Efforts
- Disease Prevention
- Early Intervention (Housing)
- Surveillance and Control Efforts
- Better Understanding of Housing for the Disadvantaged
- Improvements about Renting a Shared Room
- Develop New Environmental Sampling Methods
- Annoy Leadership as Much as Possible
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20181228-F: Mission Statement
Human health (including mental
health) is phenomena at the union of the environment, agent, and host. HAB GreatBed seeks to promote, improve, and
defend the health and well-being of all in need by enhancing cooperation and
collaboration between consumers, families, landlords, physicians, and other
environmental professionals and by promoting strengths in leadership and
management to achieve our goals. This
assignment and venture we dedicate to doctors: Schwabe, Hansen, Bera, Nagel,
Inami, Kline, Singh, Dobos, Ghazikhanian, Abbott, and Dungworth.
-
-
Resource – Mental Health
Association Orange County (MHA)
MHA Stats Letter Dated: November
15, 2018
Mental Health Association of
Orange County (MHA)
Site – Homeless Multi-service
Center – Santa Ana California
-
Table - Population – Chronically
Homeless Persons – MHA Service Year 2018
Source: MHA Stats Letter Dated:
November 15, 2018
-
|
|||||
Provision
|
2018
Count
|
Note
|
|||
-
|
|||||
Daily shelter and service to
|
715
|
May include duplicates
|
|||
Meals Served
|
35,788
|
||||
Showers Taken
|
15,885
|
||||
Loads of Laundry
|
1,326
|
||||
Housing Services
|
235
|
Less than one per day
|
|||
Placements into Permanent
Housing
|
102
|
10 or so case studies needed
|
|||
Linking Veterans
|
236
|
To veteran’s services
|
|||
Social Security Disability Help
|
684
|
Most probably the most
important service offered
|
|||
-
|
|||||
Homeless Program
|
|||||
Job Training/Placement
|
150
|
||||
Secured Employment
|
32
|
||||
-
|
Last Update: 20200208-SAT: MHA
Stats Letter Dated: November 15, 2018
-
Research Resource – United Way - United
to End Homelessness
#EndHomelessnessOC
-
United to End Homelessness is a
community-wide initiative led by United Way
-
MSG Comment - $100K
We have discussed United Ways’
yearly spending figure for homeless peoples in Orange County with several
people including “Buster’s” family members.
Most people think the $100,759 per person per year is plausible. We here at MSG really will not buy into such
a figure until we been provided for examination itemized invoices across a cost
spectrum. If the United Way figure were
true our housing help line would only have to take less than one-hundred (100)
homeless people off the streets to pay for it.
In addition we would like to have United Ways discuss the worst cases
ever in recent history (2000-Present).
Last we would like to see them capture and share itemized data across
100 or so Best Cases. For insurance
purposes we will discuss the value of a person in our next report addressing
our HOUSING Help Line Fix. By sharing
the $100K figure alone without tangible accounting materials United Way fails
the Accountability Principle Test (APT).
-
-
Table – United Way About
Homelessness Cost & Benefits – Share with Finances
Aspect
|
Value
|
Note
|
Comment
|
||
For chronic homelessness in Orange
County, we are spending
|
$100,759 Per Person, Per Year*
|
Includes ER visits, law
enforcement and other services
|
Invoices to support this number
required (**)
|
||
If all of OC’s chronic homeless
were provided supportive housing we could save
|
$42 million Per Year*
|
Includes rent and support
services
|
|||
A proven alternative to these
high costs Supportive Housing cuts costs almost in half
|
$51,587 Per Person, Per Year*
|
Includes housing and supportive
services
|
|||
*Homelessness In Orange County:
The Costs To Our Community Executive Summary (2017).
Commissioned by Orange County United Way,
Jamboree and University of California, Irvine
-
(**) 100 Super Bill Invoices
Our Super Bill Invoice (SBI)
notion we hold over for our HOUSING Help Line financial report due for release
later this year 2020.
-
FYI - [PDF] - Homelessness In
Orange County - Orange County United Way (2017 - 71 Pages)
“Homelessness in Orange County:
The Costs to Our Community. Conducted by ... The study is based on data
collected from five main ... This is the final report of a year-long study of
the costs of ... these indicators of connection or social capital.”
-
-
United Way and Associates Report
Source:
Table - Share with Assessments – Homeless
Centered Assessment - United Way Set
Appendices – Addressing Homeless
Crisis in “The OC”
-
|
|||||
Appendix
|
Page
|
Review Notes
|
|||
-
|
|||||
Study Advisory Committee
|
49
|
20 Team Members
|
|||
Municipality Cost Questionnaire
|
50
|
Seven items
Item 4 has 12 sub-items
|
|||
Social Service Agencies
Questionnaire
|
51
|
Nine Items
Item 5 has 4 sub-items
|
|||
Hospital and Emergency Room Questionnaire
|
52
|
Six Items
|
|||
Homeless Interview Schedule and
Questionnaire
|
53
|
Page 53 to 69
67 Items
|
|||
Last Reviewed: 20200211-TU:
-
-
[PDF] OC Mental Health Services
Act (MHSA) Program Analysis 2018
Source:
-
Matrix – Annual Average
Prevalence of Mental Health Need Among Children
-
|
||||
Demographic
|
Percent
|
Number
|
||
-
|
||||
Ages 4-11
|
5.9%
|
24,238
|
||
Mental Health Need - Boys
|
6.1%
|
12,846
|
||
Latino Children
|
8.3%
|
15,648
|
||
-
|
Last Reviewed: 20200211-TU:
-
“Kids” - Original Text Retained
Method (OTRM)
“May 21, 2018 - Children The annual
average prevalence of mental health need among children, ages 4-11 years, in
Orange County was 5.9% (or 24,238). Mental health need was highest among boys
(6.1% or 12,846) and Latino children (8.3% or 15,648).”
-
-
Matrix - Navigation / Access to
Linkage MHSA Services Numbers
Resource – MHSA
MHSA Outcomes
Sharon Ishikawa, PhD – MHSA
Coordinator – September 17, 2018
Timeframe Unclear FY2016-17
-
|
||||||
Program
|
# Served
|
# Referrals
|
Linkages
|
Note
|
||
-
|
||||||
OCLinks
|
14,152
|
16,798
|
4,456
|
|||
BHS O&E
|
29,744
|
9,225
|
2,576
|
|||
O&E Collaborative
|
36,240
|
22,424
|
8,407
|
|||
The Courtyard
[Shelter]
|
5,130
|
826
|
278
|
|||
Open Access
|
1,357
|
NA
|
426
|
|||
AOT Assessment and Linkage
|
||||||
CHS Jail to Community Re-Entry
|
New
|
|||||
-
|
Last Reviewed: 20200211-TU: Source
SCM Presentation and Handout
-
Crisis Prevention Hotline
Our HOUSING Help Line (HHL) will
double as a Crisis Prevention Hotline (CPH) and may one day handle many of a
CPH calls.
-
-
Housing Related Transactions
A “Bane” – OC Needs and Gaps
-
UCSD Orange County Needs and Gaps
Analysis – New (111 Pages)
-
“FINAL REPORT – October 2019 Part
1: Prevalence of Mental Health Symptoms and Service Utilization Part 2:
Geographic Access to Behavioral Health Services and Other Behavioral Health
Provider Facilities Part 3: Barriers to Behavioral Health Care from
Provider/Advocate and Cultural/Linguistic Minority Community Members’
Perspectives”
-
FYI Summary
At First Pass – Material Out Of
Scope
-
Table
- Recovery Technology - All Topics – Integrated Projections
Source for Topics - Example City
- Anaheim city, California
-
|
|||
Topic
|
Expected
HHL
Impact
|
Tech Needs Impact
|
|
-
|
|||
1-Housing
|
X
|
X
|
|
Age
and Sex
|
X
|
||
Businessess
|
X
|
X
|
|
Computer
Use and
Internet
Use
|
Xx
|
||
Economy
|
|||
Education
|
X
|
X
|
|
Families
&
Living
Arrangements
|
X
|
X
|
|
Geography
|
|||
Health
|
X
|
X
|
|
Income
& Poverty
|
X
|
X
|
|
Population
|
|||
Population
Characteristics
|
X
|
X
|
|
Race
and
Hispanic
Origin
|
X
|
||
Smart
Phone
|
X
|
X
|
|
Transportation
|
X
|
||
-
|
Last Reviewed: 20200212-W: HHL =
Housing Help Line
-
Special Topic – Demographics
& Demography
In order to capture some
demographics about Orange County we referenced:
…For this report we selected
Anaheim the home of Disneyland & “The Happiest Place on Earth” for an
example city. The Census site includes
population estimates from July 1, 2019.
In terms of Anaheim’s health from 2014-2018 5.3% of those under the age
of 65 are classified as living with a disability. Many of them are managing without health
insurance. What follows are some sample
statistics that may have value when addressing HOUSING concerns in “The OC”.
-
Matrix – Demographic - Housing
(Census)
Source: Example City - Anaheim
city, California
-
|
||||
Aspect
|
Time Frame
|
Stat
|
||
-
|
||||
Housing units
|
July 1, 2018
V(2018)
|
X
|
||
Owner-occupied housing unit
rate, 2014-2018
|
2014-2018
|
42.2%
|
||
Median value of owner-occupied
housing units
|
2014-2018
|
$538,700
|
||
Median selected monthly owner
costs -with a mortgage
|
2014-2018
|
$2,379
|
||
Median selected monthly owner
costs -without a mortgage
|
2014-2018
|
$557
|
||
Median gross rent
|
2014-2018
|
$1,569
|
||
Building permits
|
2018
|
|||
-
|
Last Reviewed: 20200212-W:
-
Matrix – Demographic - Families
& Living Arrangements (Census)
Source: Example City - Anaheim
city, California
-
|
||||
Aspect
|
Time Frame
|
Stat
|
||
-
|
||||
Households
|
2014-2018
|
100,615
|
||
Persons per household
|
2014-2018
|
3.43
|
||
Living in same house 1 year
ago, percent of persons age 1 year+
|
2014-2018
|
88.4%
|
||
Language other than English
spoken at home, percent of persons age 5 years+
|
2014-2018
|
60.8%
|
||
-
|
Last Reviewed: 20200212-W:
-
Matrix – Demographic - Income
& Poverty (Census)
Source: Example City - Anaheim
city, California
-
|
||||
Aspect
|
Time Frame
|
Stat
|
||
-
|
||||
Median household income
(in 2018 dollars)
|
2014-2018
|
$69,443
|
||
Per capita income in past 12
months
(in 2018 dollars) |
2014-2018
|
$27,501
|
||
Persons in poverty, percent
|
15.2%
|
|||
-
|
Last Reviewed: 20200212-W:
-
-
Research
- Original Text Retained Method (OTRM)
-
Statistics
2019 – Orange County Homeless
Orange
County homeless population jumps to nearly 7,000 Survey Shows
A
homeless camp alongside the Santa Ana River was removed in 2018.
(Los
Angeles Times)
By
Luke Money, Hillary Davis, Faith E. Pinho, Priscella Vega
April
25, 2019 9:10 AM
“Homeless
population found nearly 7,000 people living in shelters or on the streets
countywide - a significant uptick from the last such count in 2017 as the
county has struggled to deal with the issue.
The numbers come a year after Orange County cleared a large stretch of
the Santa Ana River area of numerous homeless encampments. Since then,
officials are battling over where to place more homeless facilities.”
-
Some
cities saw significant increases in the number of homeless.
“The
number of unsheltered people recorded in Costa Mesa, for instance, went from
103 in 2017 to 187 this year. In Huntington Beach, the unsheltered population
more than doubled, from 119 to 289. A
county official, however, said the increase could at least partly be attributed
to new methodologies and technology used to count the homeless this time
around, providing a more comprehensive and detailed overview than in previous
years.”
-
“Overall, January's Orange County
Point in Time count documented 6,860 homeless people. Of those, 2,899 were
staying in some kind of shelter, while 3,961 were unsheltered, according to the
county. By comparison, 4,792 homeless people were tallied during the 2017 Point
in Time count, including 2,584 who were unsheltered.” Apr 25, 2019
-
-
[INSERT
OUR IMAGE & LINK TO VIDEO]
-
Moving
One PERson @ A TIME – Work In The Field
Keith
Torkelson films update video homelessness in Orange County
20200218-M:
9 views – Chartered: Dec 2, 2017
-
-
Single Homeless Encampment @ Warner & Bristol In Santa Ana
Photo by MSG Circa 2019
-
Note
> Our Santa Ana Riverbed Video has been removed from You Tube without our
being aware of it. It documented some of
“Busters” best fieldwork. In addition,
had a fairly strong viewership.
-
-
Matrix
– Homeless Related Statistics – Orange County California (LA Times 2019)
Source
– LATimes Article - Apr 25, 2019
-
-
|
|||||
Tag
|
Date
|
Count
|
Note
(Compare)
|
||
-
|
|||||
Number
in Shelters or on Street
|
2017
|
?
|
2019
= 7,000
“Uptick”
Noted
|
||
Encampments
|
2018
|
?
|
2020
Assume Down
|
||
Number
Homeless Facilities
|
2020
Unknown
|
||||
Total
Beds in Homeless Facilities
|
2020
Unknown
|
||||
Homeless
Trend
|
2017
> 2019 Increase
|
||||
-
|
|||||
Costa
Mesa
|
2017
|
103
|
?this
year = 187
|
||
Huntington
Beach
|
2017
|
119
|
?this
year = 289
|
||
-
|
|||||
Point
In Time Count
Homeless
|
2017
|
4,792
|
?this
year = 6,860
|
||
-
|
|||||
Staying
in Shelter
|
2019
|
2,899
|
2017
= ???
|
||
Unsheltered
|
2019
|
3,961
|
2017
= 2,584
|
||
Point
in Time
|
2019
|
6,860
|
2017
= 4,792
|
||
-
|
Last
Reviewed: 20200207-F: Source – LATimes Article - Apr 25, 2019
Assume
“this year” = 2019
-
-
Matrix - Cost Offset – Per Person
– High End – Focus Behavioral Health & SUD
-
|
|||||
Type of Treatment
|
CALC
|
Liability per
Day
|
Note
|
||
-
|
|||||
Day On Psych Ward
|
Charges 2.5 times higher than
the hospitals’ reported costs to deliver
|
||||
Day On Psych Ward
Schizophrenia TX
|
$8,509/11.1 days
$5,707/7.4 days
|
$766.58
$771.22
|
|||
Day On Psych Ward
Bipolar TX
|
$7,593/9.4 days
$4,356/5.5 days
|
$807.77
$792.00
|
|||
Day On Psych Ward
Depression TX
|
$6,990/8.4 days
$3,616/4.4 days
|
$832.14
$821.82
|
|||
-
|
|||||
Drug use disorder treatment
|
$4,591/5.2 days
$3,422/3.7 days
|
$882.88
$924.86
|
|||
Alcohol use disorder treatment
|
$5,908/6.2 days
$4,147/3.8 days.
|
$952.90
$1091.31
|
|||
-
|
|||||
CALC Average Liability =
|
8,643/10
|
$864
|
AVG Per Day
|
||
-
|
Last Reviewed: 20191220-F:
-
-
Retain Original Text Method
(ROTM)
-
An Examination Of Costs, Charges,
And Payments For Inpatient Psychiatric Treatment In Community Hospitals
Psychiatr Serv. 2012
Jul;63(7):666-71.
-
RESULTS:
“Charges were 2.5 times higher
than the hospitals' reported costs to deliver care. Reimbursed amounts
indicated by MarketScan were similar to the reported costs to deliver care”.
-
“The average cost to deliver care
was highest for Medicare and lowest for the uninsured: schizophrenia treatment,
$8,509 for 11.1 days and $5,707 for 7.4 days, respectively; bipolar disorder
treatment, $7,593 for 9.4 days and $4,356 for 5.5 days; depression treatment,
$6,990 for 8.4 days and $3,616 for 4.4 days; drug use disorder treatment,
$4,591 for 5.2 days and $3,422 for 3.7 days; and alcohol use disorder
treatment, $5,908 for 6.2 days and $4,147 for 3.8 days.”
-
-
Matrix - Costing – Liability - Per
Person – Featuring Hospitalization
Primary Source:
https://www.ncbi.nlm.nih.gov/pubmed/22588167
& MSG & Other
-
|
|||||
Placement Facility
|
Liability per
Day
|
Year
|
Note
|
||
-
|
|||||
Day In Jail
|
2019
$68.73
|
OC Florida
AVG = 3000 inmates
|
|||
Prison – Federal Inmates
|
2017
$99.45
|
2017
36,299
|
|||
Residential Re-entry Center
|
2017
$88.52
|
2017
$32,310
|
|||
Day In ICU
|
2013
$4,004
|
||||
Day In Hospital
CA State/local government
hospitals
|
2013
$2,680
|
||||
Day In Hospital
CA Nonprofit hospitals
|
2013
$3,500
|
||||
Day In Hospital
CA For-profit Hospitals
|
2013
$2,140
|
||||
-
|
|||||
Day in State Mental Hospital
|
[PEND]
|
||||
-
|
Last Reviewed: 20191218-W:
-
-
Matrix - Costing – Assets - Per
Person
-
|
||||
Benefit/Entitlement
|
CALC
|
Cash Resources per
Day
|
||
-
|
||||
SSI Check
|
$900/30 =
|
$30.00
|
||
SSDI Check
|
$1600/30 =
|
$53.33
|
||
Veterans Check
|
$2200/30 =
|
$73.33
|
||
-
|
Last Reviewed: 20191218-W: Note
some make more some make less.
The least variance occurs with
SSI Checks.
-
-
AVG Cost per Inpatient per Day
Source
-
Table Blank – Hospital Cost per
Day per Individual
-
|
|||
United States Type
|
2013
|
Note
|
|
-
|
|||
State/local government
hospitals
|
$1,878
|
||
Nonprofit hospitals
|
$2,289
|
||
For-profit hospitals
|
$1,791
|
||
-
|
|||
California Type
|
|||
-
|
|||
State/local government
hospitals
|
$2,680
|
||
Nonprofit hospitals
|
$3,500
|
||
For-profit hospitals
|
$2,140
|
||
-
|
Table Last Updated: 20200207-F:
-
-
Special Topic - Day in Napa State
Mental Hospital – Nature of Patients
The 2019-20 Budget: Department of
State Hospitals
Publications › Report
Feb 13, 2019 - The Department of
State Hospitals (DSH) provides inpatient mental health services at five state
hospitals
-
Table Blank – California’s
Remaining State Hospitals (Beds)
Source:
-
-
|
||
Facility
|
Bed Count
|
|
-
|
||
Atascadero
|
1184
|
|
Coalinga
|
1286
|
|
Metropolitan
|
826
|
|
Napa
|
1255
|
|
Patton
|
1527
|
|
-
|
||
Total SH Bed CALC
|
6,078
|
|
-
|
Last Reviewed: 20200215-SAT:
-
FAQ - Each hospital operates
approximately: _____ beds.
The commitment categories of
patients treated at DSH
[OUT OF SCOPE]
-
Resistant To Solution
If HOUSING by itself is a
challenge there are other complicating factors that make securing the right bed
even harder. A couple of these are
transitioning out of the State Mental Hospital (SMH) system and resolving Substance
Use Disorder (SUD).
-
California Department of State
Hospitals - CA.gov
-
“The Department of State
Hospitals (DSH) manages the California state hospital system, which provides
mental health services to patients admitted into DSH…” FYI - Hospital Bed Rates:
•Effective July 1, 2017 State
Hospital Bed Rates
-
[At “State”] “Medication pass
occurs four times a day, typically in the morning, noon ... equipment purchases
to generate savings to offset such costs…”
-
-
Special Topic – Legal
Complications
The 2019-20 Budget: Department of
State Hospitals
Table Blank - Ten Unit State
Hospital Categories Established by Clinical Staffing Study
-
|
|||
Unit Category
|
Type of Patient
|
||
-
|
|||
Admissions
|
Newly admitted patients
|
||
Discharge Preparation
|
Patients nearing discharge
|
||
Medical Treatment
|
Patients who are receiving
medical care
|
||
Incompetent to Stand Trial
(IST) Treatment
|
Patients who are accused of a
crime but must be restored to competency before their court proceedings can
continue.
|
||
Mentally Disordered Offender
(MDO) Treatment
|
Patients who have been
convicted of a violent offense connected to their severe mental disorder who
are committed after completing their prison term as they have been found to
pose a danger to the public if released.
|
||
California Department of
Corrections and Rehabilitation Treatment
|
Patients referred for treatment
from state prisons
|
||
Sexually Violent Predator
Treatment
|
Patients who have been
convicted of a sex offense and are committed following their release from
prison as they have been found to have a mental disorder that makes them
likely to engage in sexually violent criminal behavior.
|
||
Lanterman-Petris-Short (LPS)
Treatment
|
Patients who have been civilly
committed by counties.
|
||
Multi-Commitment Treatment
|
Various types of patients that
are treated together
including MDO LPS and
individuals found Not Guilty by Reason of Insanity.
|
||
Specialized Services Treatment
|
Various patients with special
needs such as those who are highly aggressive, require sex offender treatment
or are deaf
|
||
-
|
Last Reviewed: 20200212-W:
-
-
Legal Complications
-
The 2019-20 Budget - Department
of State Hospitals
Source
-
Overview
“Department Provides Inpatient
and Outpatient Mental Health Services. The Department of State Hospitals (DSH)
provides inpatient mental health services at five state hospitals (Atascadero,
Coalinga, Metropolitan, Napa, and Patton). DSH also contracts with counties to
provide in-patient mental health services in around a dozen additional
locations (typically county jails) throughout the state. In addition, DSH provides
outpatient treatment services to patients in the community.”
-
Forensic Commitments
“The 2018/19 budget included
resources to provide in-patient mental health service to about 6,200
individuals in state hospitals and roughly 500 individuals in contracted
programs. The budget also included resources to provide out-patient services to
around 700 individuals. Patients fall into one of two categories: civil
commitments or forensic commitments. Civil commitments are generally referred
to the state hospitals for treatment by counties. Forensic commitments are
typically committed by the criminal justice system and include individuals
classified as”:
-
-
Table Blank – Features of State
Hospital Consumers
Source:
-
|
||||
Situation
|
Code
|
|||
-
|
||||
Incompetent to Stand Trial
|
IST
|
|||
Not Guilty by Reason of
Insanity
|
NGROI
|
|||
Mentally Disordered Offenders
|
MDOs
|
|||
Sexually Violent Predators
|
SVPs
|
|||
-
|
Last Reviewed: 20200215-SAT:
-
Source
-
“Currently, about 90 percent of
the patient population is forensic in nature. As of January 14, 2019, the
department had about 1,100 patients awaiting placement, including about 800 IST
patients.”
-
Mixing Populations
Whether the consumer connects
with a Single Resident Occupancy (SRO) “Bed” fix or a Rent A Shared Room (RASR)
“Bed” fix mixing populations is an issue.
For example if you place yourself in a home with a parolee the whole
house can be affected by a parole search.
What a parole search means is that while the parole team of officers is
on site all at home are basically under arrest.
You will lose your freedom even though you have no criminal record while
the team is on site. On the other hand
the non-criminal home may be the best place for the parolee’s success.
-
-
Table Blank – Data Notebooks – Including
-
|
||
Notebook
Item
|
Description
|
HHL Role (MSG)
|
-
|
||
Needs
|
Meeting the Needs of Persons in
MH Emergencies
|
Prevention & Early
Intervention
|
Priorities
|
Top Priorities needed by our
Communities
|
Unite the Rent A Shared Room
(RASR) community
|
Integration
|
Integrated Care for Mental
Health and Substance Use Disorders (SUD)
|
Support improved graduations
|
Impact
|
Impact of Substance Abuse on
the Mental Health System
|
On a case by case basis in may
cost much more before it get cheaper
|
Data
|
Data and Issues for SUD
Treatment Needs, Barriers, Services, and What Works
|
Track SUD & COD Performance
Earned Value (PEV)
|
Coordinated Prevention
|
Prevention Strategies:
Coordination of Mental Health and Substance Use Prevention Programs
|
Help heal the family so the
kids do not face what the older generations have suffered through
|
-
|
Last Addressed: 20200209-SUN:
Source: http://www.calbhbc.org/data-notebooks.html
CALBHBC
-
-
Orange County, California -
Mental Health Board
Annual Report - 2018 (12 Pages)
Includes Message from MSG’s
friend Dr. “Jeff” A Nagel
-
“The
MHB’s Data Notebook Committee sucessfully completed the Data Notebook for 2017,
which is focused on Older Adults”
-
``Housing
Advisory Board (HAB)
Separate
of MSG’s HOUSING Help Line initiative are several of our other HOUSING related
products. At our product line core is
our Housing Advisory Board (HAB) notion.
We will address our HAB (MSG-HAB) in a future report about MSG’s Housing
Advisory Board 2020.
-
“keith
torkelson housing advisory board”
We
have already published a few reports targeting HOUSING issues. If you use the query: “keith torkelson
housing advisory board” you should get a few hits.
-
Table – A Mental Health Board (MHB)
on Wellness
Theme - Promoting Health in
General
-
|
|||||
Wellness Program
|
Physical
|
Mental
|
Note
|
||
-
|
|||||
Exercise
|
X
|
||||
Nutrition
|
X
|
||||
Healthy Cooking
|
X
|
||||
Stress Management
|
X
|
X
|
Promoting
Sleep as a priority and a RIGHT
|
||
Quitting Smoking
|
X
|
X
|
|||
Managing Chronic Disease
|
X
|
X
|
|||
Maintaining Social
Connectedness
|
X
|
||||
-
|
Last Reviewed: 20200212-W:
-
[PDF] - 2019 Community Health
Needs Assessment (2019 Kaiser - 54 Pages)
Kaiser Foundation Hospital:
Anaheim and Irvine
Anaheim-and-Irvine-CHNA-2019 Key
Word – Data Dictionary - Sep 16, 2019 - Kaiser Foundation
-
FYI - Figure – Kaiser Report
Appendices
-
-
[FUTURE
WORK]
VII.
Appendices – II. Health Need Profile: Economic, Housing, and Food Insecurity
-
-
Table
Blank - Reported Barriers to Accessing Affordable Housing (2019 Kaiser)
Source:
-
-
|
|||||
Barrier/Hurdle
|
Note
|
Detail
|
|||
-
|
|||||
Long
Waitlists
|
Resource
Levelling
|
Migrate
“Beds” away from waitinglist system
|
|||
Narrow
Criteria
|
Serve
anyone in the county that asks
|
Only
criteria is needing or asking for help!
|
|||
Low
Stock
|
Reallocate
SRO funding to RASR that includes affordable singles (*)
|
Invest
in home environments
|
|||
NIMBYism
|
Mediation
|
Engage
neighboorhood highlighting home as a solution
|
|||
-
|
Last
Reviewed: 20200215-SAT:
--
What
is NIMBYism?
“NIMBY,
or Nimby, is a characterisation of opposition by residents to a proposed
development in their local area. It carries the connotation that such residents
are only opposing the development because it is close to them and that they
would tolerate or support it if it were built farther away.” Source – Wikipedia
-
-
Table
– Typical Housing Related Hardships (2019 - Kaiser)
Source
[PDF] - 2019 Community Health
Needs Assessment - Kaiser ... (54 Pages)
In
a survey of over 200 residents, respondents reported:
-
|
|||
%
|
Pertainance
|
||
-
|
|||
41%
|
…of
residents did ot know where they were going to sleep at least once this year
|
||
35%
|
…moved
in with other people because of financial problems
|
||
40%
|
…experienced
a rent/mortgage increase that made it difficult to pay
|
||
35%
|
…reported
being hungry and not eating due to lacking money for food
|
||
-
|
Last Reviewed: 20200212-W:
-
-
Table Blank - Indicators of a
Great “Bed” Match (Sample)
Source: National Survey (2016)
-
Housing Help Line
and Ancillary Resources - Expected Improvements [A to Z]
Indicators
(Sample) - Modified
-
|
||
Aspect
|
Note
|
|
-
|
||
Consumers In
Rigorous Recovery
|
||
ER Psychiatric
Visits
|
||
ER Visits
|
||
Family Conflicts
(Violence)
|
||
Fertilize COD
Success Indicators
|
||
Fewer Dying Too
Young
|
||
Homeless At
Discharge
|
||
Homeless In
General
|
||
IMD Stay
Truncation/Graduation
|
||
Improve Sleep
And Associated Healing
|
||
Improved “Bed
Matching”
|
||
LPS
Conservatorships
Blocks And
Reversals
|
||
Measurably
Improved
Quality Of Life
(QOL)
|
||
Overnight
Hospitalizations
|
||
Psych Ward Holds
|
||
Reduce Days In
Jail
|
||
Reduce Social
Poverty
|
||
SUD Indicator
Improvements
|
||
Using Social
Support Services
|
||
-
|
Last Reviewed:
20200213-TH:
-
-
Table Blank – Counting Housing
Related Call and Other Volumes/Transactions
Sample Year 2019
-
|
|||
Area
|
Note
|
||
-
|
|||
Warmline (OCHCA 2019)
|
Frequency of housing related
calls
|
||
OC LINKS (OCHCA 2019)
|
Frequency of housing related
calls
|
||
Mental Health Association
Orange County (MHA)
|
Number of Housing related
“Fixes” and “Solutions”
|
||
-
|
|||
2019 County Population
|
Exists
|
||
County Population of Homeless
|
Exists
|
||
County Population in need of
Housing Help
|
Not found yet
This does not include just the
homeless
|
||
-
|
Last Reviewed: 20200212-W:
-
-
Table
Blank - Findings – Statistics – Populations in Need – All Referenced in Report
Source:
-
-
|
|||
Demographic
|
Page per Index
|
||
-
|
|||
Total
Homeless Population
|
13
|
||
Comparison
of Persons by Household Type and Living Situation
|
13
|
||
Sheltered
Population
|
13
|
||
Unsheltered
Population
|
16
|
||
Unsheltered
Homeless Population
|
17
|
||
Chronic
Homeless
|
18
|
||
Families
with Children
|
19
|
||
Adults
Households without Children
|
21
|
||
Veterans
|
23
|
||
Youth
Households
|
25
|
||
Additional
Subpopulations
|
26
|
||
Domestic
Violence
|
27
|
||
Release
From Jail/Prison
|
28
|
||
-
|
Last Reviewed: 20200212-W:
-
Page Hints: Page 55-58 of 62
(50-53 of 59) & Findings Page 13 (18 of 64)
Table of Contents Page 2 of 59
-
Reference - Populations Report
[PENDING]
-
FYI - Findings - Homeless Count
(64 Pages)
-
Note - Feature OCHCA Statistics
Orange County Continuum of Care
2017 Homeless Count & Survey Report Commissioned by 2-1-1 Orange County
Prepared by Focus Strategies July 2017
-
-
Table Blank – Surveying and
Criteria - Places for Beds
-
8. Where did you sleep last
night?
If one of the following, STOP
SURVEY:
-
Page 51 of 59 (56 of 64)
-
-
|
||
Disqualifying Place
|
Note
|
|
-
|
||
With Friends/Family
|
||
Emergency Shelter
|
||
Transitional Housing
|
||
Motel/Hotel
|
||
House Or Apartment
|
||
Jail (Prison)
|
||
Hospital
|
||
Treatment Program
|
||
Unwilling To Answer
|
||
Business Office
|
||
-
|
First Draft: 20190716-TU: Last
Reviewed: 20200211-TU:
-
Continued in Part IB of 2
-
-
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