Dignity Health 2MATCH Quarterly Reportterm:name... · 1. I have a steady place to live 2. I have a...
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Dignity Health 2MATCH Quarterly Report
December 2019
Assessing the effectiveness of the 2MATCH Project on social
determinants of health and healthcare utilization
Prepared by:
Wendy Wolfersteig, Ph.D.
Grant Yoder, M.Ed.
Micaela Mercado, Ph.D.
Seol Ki, Ph.D.
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2MATCH, December 2019
ASU-SIRC 1
Table of Figures
Figure 1 Proportion of Screenings from Target Zip codes................................... Error! Bookmark not defined.
Figure 2 Ages of Individuals Screened for 2MATCH Participation .......................................................................... 6
Figure 3 Income of Those Screened for 2MATCH Participation .............................................................................. 8
Figure 4 ED Utilization ..................................................................................................................................................... 9
Figure 5 Housing Security (n=3,035)............................................................................................................................... 9
Figure 6 Food Insecurity ................................................................................................................................................. 11
Figure 7 Safety Screenings ............................................................................................................................................... 12
Figure 8 Positive Screenings ............................................................................................................................................ 13
Figure 9 Referral Client Gender ..................................................................................................................................... 19
Figure 10 Service Offering Category Frequency (n=5,417) ....................................................................................... 20
Figure 11 Monthly Referral Count (n=5,000) .............................................................................................................. 22
Figure 12 Monthly Unique Referral Client Count (n=657) ....................................................................................... 22
Figure 13 Client Risk Stratification (n=5,000) ............................................................................................................. 23
Figure 14 Intervention Type Count ............................................................................................................................... 24
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2MATCH, December 2019
ASU-SIRC 2
Table of Tables
Table 1 Screenings from GTA .......................................................................................................................................... 3
Table 2 Monthly Screening Totals ................................................................................................................................... 4
Table 3 Screenings by Medical Center ............................................................................................................................. 5
Table 4 Ethnicity of Those Screened for 2MATCH Participation ............................................................................. 7
Table 5 Race of Those Individuals Screened for 2MATCH Participation ................................................................ 7
Table 6 Housing Issues .................................................................................................................................................... 10
Table 7 Navigation Status ................................................................................................................................................ 14
Table 8 Navigation Needs Resolution Proportions .................................................................................................... 15
Table 9 Resolution Duration ........................................................................................................................................... 15
Table 10 Referring Team ................................................................................................................................................. 16
Table 11 Receiving Services ............................................................................................................................................ 17
Table 12 Receiving Organizations .................................................................................................................................. 18
Table 13 Referral Client Age ........................................................................................................................................... 19
Table 14 Service Offering Name .................................................................................................................................... 21
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2MATCH, December 2019
ASU-SIRC 3
Evaluation Implementation Dignity Health obtained funding from CMS (5/1/2017 to 4/30/2021) to develop and implement
the To MATCH, Align Through Community Hubs (2MATCH) program to screen Medicare and
Medicaid beneficiaries seeking health services for unmet social determinants of health needs and to
connect them with appropriate services in the community through an IT solution combined with
patient advocates. In September 2018, as part of the Dignity/ASU Strategic Initiatives research
program, Dignity Health and the ASU Southwest Interdisciplinary Research Center (SIRC), Office
of Evaluation and Partner Contracts began their evaluation of the 2MATCH Align through the
community hubs initiative. During the first year of its funding, Dignity Health worked with other
consultants to accomplish the needed evaluation steps, while also consulting with the SIRC team
throughout 2018. Table 1 outlines various project milestones associated with the 2MATCH Project
in the previous quarter.
Date Meeting Purpose
9/25/2019 Year 2 Start Date for 2MATCH Evaluation
10/10/2019 Presentation at Arizona Health Equity Conference
11/13/19 Roundtable Presentation at American Evaluation Association
11/14/19 Multi-paper Presentation at American Evaluation Association
12/6/19 Presentation at Society of Teachers of Family Medicine
12/17/19 Presentation to 2MATCH Consortium
Zip Codes
As the expansion of the service area for the 2MATCH Program is being processed, this report will include analyses for the initial Geographic Target Area (GTA). The targeted zip codes are as follows:
85003, 85004, 85006, 85007, 85008, 85009, 85015, 85017, 85019, 85031, 85033, 85035, and 85040
Table 1 Screenings from GTA
Zip Code Year to Date Count
85007 109 549
85009 109 540
85015 80 347
85017 57 261
85008 27 207
85040 45 185
85019 28 168
85006 28 163
85003 34 157
85031 20 141
85035 30 137
85033 26 122
85004 9 58
Total 602 3,035
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2MATCH, December 2019
ASU-SIRC 4
Screenings
Since the 2MATCH Program’s inception, there have been 6,781 screening cases created, 990 of
which were duplicates, leaving 5,791 unique screening cases. Table 1 shows the total number of
screenings from each of the 13 zip codes in the GTA for the entire duration of the program. Table 2
shows monthly screening totals for the targeted zip codes as well as all represented zip codes.
Table 2 Monthly Screening Totals
Targeted Zip Codes All Zip Codes Percentage from
targeted zip codes
September, 2018* 5 10 50%
October, 2018 127 246 52%
November, 2018 120 224 54%
December, 2018 63 129 49%
January, 2019 151 381 40%
February, 2019 187 408 46%
March, 2019 211 518 41%
April, 2019 244 607 40%
May, 2019 248 654 38%
June, 2019 205 504 41%
July, 2019 278 699 40%
August, 2019 332 386 86%
September, 2019 323 367 88%
October, 2019 288 355 81%
November, 2019 253 303 83%
Total 3,035 5,791 52%
Figure 1 shows the proportion of screenings which came from the GTA of the 2MATCH Program.
Beginning in August 2019, new screening protocols were implemented to focus on those clients
from the GTA and resulted in a large increase in the proportion of screenings from the targeted zip
codes.
Figure 1 Proportion of Screenings from Target Zip Codes
0%
20%
40%
60%
80%
100%
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2MATCH, December 2019
ASU-SIRC 5
Quarterly Screenings
The Quarterly Screenings section will reflect data collected from September 24, 2019 to December
1, 2019. There were 733 unique screenings completed during this period, and the zip codes targeted
by the 2MATCH Program comprised a total of 602 (82%) of all screenings.
Screening Organizations
In this period, St. Joseph’s Hospital & Medical Center Emergency Department had the highest
number of screenings from the targeted zip codes with 232. Table 3 displays the screening counts
for each medical unit.
Table 3 Screenings by Medical Center
Year to
Date Total
Count
St. Joseph’s Hospital & Medical Center Inpatient 149 951
St. Joseph’s Hospital & Medical Center Emergency Department 232 766
MIHS 7th Ave Family Health Center 95 715
St. Joseph’s Hospital & Medical Center Family Medicine Clinic 65 226
Native American Connections Behavioral Health Services 54 190
Dignity St. Joseph’s Hospital and Medical Center Internal Medicine 5 99
Parsons Family Health Center at Circle the City 2 70
St. Joseph’s Pediatrics 0 14
Valle del Sol, Inc 1st Avenue Site 0 4
Total 602 3,035
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2MATCH, December 2019
ASU-SIRC 6
Screening Demographics
Age
Figure 3 shows the age breakdown for the 599 individuals from the targeted zip codes who provided
their birthdate for the 2MATCH screening. The majority of individuals were ages 18 to 64, with
80% of falling in that age range. Individuals age 65 and older represented 13% those screened in the
targeted zip codes.
Figure 2 Ages of Individuals Screened for 2MATCH Participation (n=599)
Gender
The majority of the 586 individuals who reported their gender on the 2MATCH screening were
female (61%), and the remaining 39% identified as male.
Ethnicity
Over half of those individuals screened for the 2MATCH program identified as Hispanic, Latino(a) or
of Spanish origin. Participants were able to select more than one applicable ethnic group, and Table 4
illustrates the totals for each selection.
8% 80% 13%
0-17 18-64 65+
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2MATCH, December 2019
ASU-SIRC 7
Table 4 Ethnicity of Those Screened for 2MATCH Participation
Ethnicity Total Percentage
No, not of Hispanic, Latino, or Spanish Origin 230 44%
Yes, Mexican, Mexican American, Chicano 221 42%
Yes, Another Hispanic, Latino, or Spanish origin 70 13%
Additional Groups (including Puerto Rican and Cuban) 7 1%
Total 528
Race Over half of those screened as a part of the 2MATCH identified their race as White (65%), and 11%
identified their race as Other. Table 5 shows a detailed breakdown of the race totals.
Table 5 Race of Those Individuals Screened for 2MATCH Participation
Race Total Percentage
White 318 65%
Other 53 11%
Black or African American 74 15%
American Indian or Alaska Native 34 7%
Additional groups (Including Asian or Native Hawaiian
or Other Pacific Islander) 11 2%
Total 2,551
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2MATCH, December 2019
ASU-SIRC 8
Income
Individuals were also asked to report an estimate of their annual household income from all current
financial sources on the HRSN screening tool. There were 427 individuals who provided a response
to this question. Figure 4 provides the household income for the target zip codes as well as all the
zip codes screened. The largest proportion of individuals (36%) reported an income of $10,000 or
less. Less than 1% of individuals reported an income of $75,000 or more.
Figure 3 Income of Those Screened for 2MATCH Participation
<1%
2%
8%
18%
11%
16%
9%
36%
More than 75K
More than 50K less than 75K
More than 35K less than 50K
More than 25K less than 35K
More than 20K less than 25K
More than 15K less than 20K
More than 10K less than 15K
Less than 10K
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2MATCH, December 2019
ASU-SIRC 9
Screening Findings
Emergency Department Visits
Individuals were asked “How many times have you
received care in an emergency room (ER) over the last 12
months?” About 78% of individuals who were
screened received care in an ER in the past 12
months. Over half of those individuals visited the
ER two or more times in the past year.
Housing
Individuals were asked about housing stability as part of the HRSN screening tool. Specifically, we
asked individuals “What is your living situation?” Individuals could choose from the following
responses:
1. I have a steady place to live 2. I have a place to live today, but I am worried about losing it in the future 3. I do not have a steady place to live (I am temporarily staying with others, in a hotel, in a shelter, living
outside on the street, on a beach, in a car, abandoned building, bus or train station, or in a park)
About 7% of individuals indicated they were Housing Unsure, and 12% of individuals indicated they
had No Steady Housing.
Figure 4 ED Utilization (n=602)
Figure 5 Housing Security (n=546)
35%
44%
22%
One Two or more Zero
7%
12%
81%
Housing Unsure
No Steady
Housing
Steady Housing
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2MATCH, December 2019
ASU-SIRC 10
Housing Issues
The majority of participants (73%) did not select any housing issues, and the remaining 27% selected at least one housing need. Table 6 lists the total of each types of issue individuals identified related to their housing situation. Individuals were able to select more than one housing issue.
Table 6 Housing Issues
Housing issue (number of instances) Count
Lack of heat 21
Lead paint or pipes 25
Oven or stone not working 28
Mold 40
Smoke detectors missing or not working 49
Water Leaks 58
Pests such as bugs, ants, or mice 90
None of the above 440
Total 751
Food
Individuals were asked two questions about food security on the HRSN. These questions asked
individuals about resources necessary to purchase enough food. When asked if the food they had
purchased didn’t last in the previous year, 30% of the 543 individuals who provided a response
shared this was “sometimes true” or “often true”. Additionally, when asked about worrying about food
running out in the past year, 30% of the 543 who responded indicated this was “sometimes true” or
“often true”. Though these percentages are the same, they are slightly lower than for the previous
question.
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2MATCH, December 2019
ASU-SIRC 11
Figure 6 Food Insecurity (n=543)
Transportation
Individuals were asked about access to reliable transportation by
the following: “In the past 12 months, has lack of reliable transportation
kept you from medical appointments, meetings, work or from getting to things
needed for daily living?” A total of 543 individuals provided a
response, and 22% of those individuals indicated that
transportation was a barrier to getting to things they needed for
daily living.
Utilities
Another area of interest was utility affordability. Participants were asked “In the past 12 months has the electric, gas, oil, or water company threatened to shut off services in your home?” A total of 540 individuals provided a response to this question. The majority of participants (88%) were not threatened to have their utilities cut off by a utility company. However, 10% of individuals had received a notice that their utilities would be shut off, and 1% reported their utilities were already shut off.
70%
70%
9%
9%
21%
21%
Within the past 12 months, you worried that
your food would run out before you got money
to buy more
Within the past 12 months, the food you
bought just didn't last and you didn't have
money to get more
Never True Often True Sometimes True
22% missing an appointment,
meeting or work because
of a lack of reliable
transportation
1% reported having their
utilities shut off in the
previous year
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2MATCH, December 2019
ASU-SIRC 12
Safety
Individuals were asked about their feelings of safety and exposure to violence. The majority of
individuals did not report any safety issues. However, 13% of participants indicated that someone
insulted or talked down to them, and 1% shared that this happened frequently. Physical violence was
the rarest form of violence, with almost 4% sharing they experienced this form of violence. Figure 8
outlines individuals’ responses to these safety questions.
Figure 7 Safety Screenings
<1%
1%
1%
1%
<1%
1%
<1%
2%
96%
87%
95%
88%
1%
5%
1%
3%
3%
6%
3%
6%
How often does anyone, including family and
friends, physically hurt you? (n=543)
How often does anyone, including framily and
friends, insult or talk down to you? (n=542)
How oftend does anyone, including family
and friends, threaten you with harm? (n=542)
How often does anyone, including family and
friends, scream or curse at you? (n=1,884)
Frequently Fairly often Never Sometimes Rarely
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2MATCH, December 2019
ASU-SIRC 13
Positive Screenings
Based on participant responses to the screening questions, it was determined if an individual
screened positive for a health-related social need. The data indicate that food was the most
frequently identified need among those screened for the 2MATCH program. About 34% of those
individuals screened “positive” for food insecurity. This was followed by Housing (23%),
Transportation (22%), Utilities (11%), and Safety (3%). Figure 8 highlights the positive screenings for
each domain.
Figure 8 Positive Screenings (n=550)
Qualification for 2MATCH
Based on responses from 602 individuals screened for participation in the 2MATCH program, a
total of 261 individuals or 43% were categorized as high risk. A total of 180 individuals or 27% who
were screened as were identified as low risk.
3%
11%
22%
23%
34%
Safety
Utilities
Transportation
Housing
Food
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2MATCH, December 2019
ASU-SIRC 14
Navigation
Navigation data have been analyzed for the period of September 23, 2018 to December 1, 2019.
There were a total of 950 unique navigation cases created of which 596 (63%) came from the
targeted zip codes. During this period, there were also a total of 2,393 unique navigation needs
identified with 1,143 navigation needs coming from from the GTA.
The majority (80%) of these needs are designated as In Progress with the resolution still pending.
There were 71 navigation needs which had been resolved. An additional 157 cases were deemed
Unresolved, indicating that the navigator attempted to follow up with the case but was unsuccessful,
the individuals opted out of navigations services, or the individual was not available for services.
Table 7 has a breakdown of domain by resolution type.
Table 7 Navigation Status
Unresolved In
Progress Resolved
SDOH Attempt
Failed Optout Unavailable
Resolution
Pending Resolved Successful Total
Food 27 23 5 331 19 9 413
Housing 19 11 4 250 11 2 296
Transportation 17 18 2 209 14 3 263
Utilities 7 15 2 102 7 3 135
Safety 2 4 0 21 2 1 29
Family Community
Support 0 0 1 1 0 0 2
Total 72 71 14 915 53 18 1,143
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2MATCH, December 2019
ASU-SIRC 15
Table 8 shows the percentage of each domain that is either resolved or in progress. All of the
domains, with the exception of Family and Community Support (n=1), have an in progress or
resolution percentage over 80%.
Table 8 Navigation Needs Resolution Proportions
SDOH Percent Resolved
or in Progress Food 87%
Housing 89%
Transportation 86%
Utilities 83%
Safety 83%
Family community support 50%
Total 86%
Navigation Duration
To date, there were 2,393 unique navigation needs created during this period. Of those, 124 cases
were labeled as Resolved. The average time between creating a navigation need case to completing a
case was 77 days. Utility assistance took the shortest amount of time to be resolved averaging 64
days, and safety took the longest amount of time averaging 94 days. Table 9 details the amount of
time it took for a case to be resolved in each domain. No domain took less than two months to
resolve.
Table 9 Resolution Duration
SDOH Average time to
resolution (days)
Food (n=46) 79
Housing (n=24) 71
Transportation (n=29) 84
Utilities (n=20) 64
Safety (n=5) 94
Average 77
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2MATCH, December 2019
ASU-SIRC 16
Referrals
For this section, cumulative referral data collected for the 2MATCH Project will be reported to
provide an overview of staff’s progress in this area. Future reports will provide details for the
specified reporting period. These data reflect the 5,000 total referral cases created over the course of
the 2MATCH Program. Referral data were collected from July 18, 2018 to November 27, 2019. It is
important to note that there were a total of 857 referral cases created prior to the official start date
of the 2MATCH Program (9/28/2018). These cases are included in the analysis. These data include
referral cases from both the Target Area and those outside of this area. SIRC is currently in the
process of determining the best method for identifying those referrals from the targeted zip codes
for future reports.
Referring users
From the 5,000 client referral cases, there were 657 unique Client ID. This means, on average, there
are almost eight referral cases created for each client. There were over 20 referring users who
completed referrals during this period. Three of the Referring Users accounted for 73% of the
referrals (Ochoa, Johnson-Elam, and Hill). A detailed breakdown of the Referring users are shown
in Appendix 1.
Referring Team There were five referring teams identified in the 2MATCH referral data. Two teams, 2MATCH Dignity Health and Native American Connections, accounted for 87.3% of the referrals. Native American Connections handled the most referrals (2,472); however, 2MATCH Dignity Health handled the most unique clients (433). Table 10 provides a breakdown of the referring teams.
Table 10 Referring Team
Referral count Percentage Unique Clients Percentage
Native American Connections 2472 49.4% 105 16.0%
2MATCH Dignity Health 1895 37.9% 433 65.9%
MIHS 415 8.3% 83 12.6%
Parsons Family Health Center 214 4.3% 33 5.0%
DEACTIVATED Villa del Sol
team 4 0.1% 3 0.5%
Total 5,000 100% 657 100%
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2MATCH, December 2019
ASU-SIRC 17
Receiving Services
Data were also collected relating to receiving services. There were 667 unique Receiving Services.
The top 13 services accounted for 24% (1,193) of the total referrals. Table 11 has a breakdown of
the receiving services.
Table 11 Receiving Services
Receiving Services Referral count Percentage Unique
Clients Percentage
Food Bank 166 3.3% 29 4.4%
Emergency Food Assistance 150 3.0% 39 5.9%
Health Care and Social Service
Navigation 145 2.9% 70 10.7%
Affordable Housing 132 2.6% 15 2.3%
ICM Food and Clothing Bank 85 1.7% 11 1.7%
First Southern Baptist Church of
Phoenix - Open Arms Ministry 77 1.5% 14 2.1%
Arizona Pediatric Resources 72 1.4% 4 0.6%
Low Income Housing 72 1.4% 8 1.2%
Emergency Support Services 66 1.3% 4 0.6%
24/7/365 Crisis Line 61 1.2% 6 0.9%
Acts Christian Transitional
Services 58 1.2% 4 0.6%
Phoenix 57 1.1% 6 0.9%
Knight Center 52 1.0% 7 1.1%
Remaining Services (Combined) 3,807 76.1% 440 67.0%
Total 5,000 100% 657 100%
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2MATCH, December 2019
ASU-SIRC 18
Receiving Organizations
There were 432 unique organizations who received clients. The top 15 organizations handled 1,200
(24%) referrals. Cultural Cup Food Bank received the most referrals (n=160), and Keogh Health
Connection (n=70) received the most unique clients. Table 12 shows the top receiving
organizations.
Table 12 Receiving Organizations
Receiving Organizations Referral
count Percentage
Unique
Clients Percentage
Cultural Cup Food Bank 160 3.2% 43 6.5%
Keogh Health Connection 145 2.9% 70 10.7%
Valley Metro 109 2.2% 25 3.8%
Phoenix Human Services Department 99 2.0% 12 1.8%
Pilgrim Rest Baptist Church 77 1.5% 33 5.0%
American Academy of Pediatrics, AZ Chapter 72 1.4% 4 0.6%
Lutheran Social Services of the Southwest 69 1.4% 8 1.2%
St Mary's Food Bank 113 1.4% 13 2.0%
Friendly House Inc 67 1.3% 4 0.6%
Crisis Response Network (CRN) 61 1.2% 6 0.9%
Arizona Department of Health Services
Women, Infants, and Children Program 59 1.2% 7 1.1%
All Tribes Assembly of God Church 54 1.1% 13 2.0%
Arizona Department of Economic Security
Division of Benefits & Medical Eligibility
Family Assistance
54 1.1% 8 1.2%
Chicanos Por La Causa 53 1.1% 8 1.2%
Other Organizations (all the rest combined) 3,800 76.1% 403 61.3%
Total 5,000 100% 657 100%
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2MATCH, December 2019
ASU-SIRC 19
Clients
Gender
Of the 657 unique clients, the majority (60%) identified as Female, 37% identified as Male, 2% did
not provide an answer, and 1% identified as Trans or Non-Binary. The breakdown of referral gender is
shown in Figure 9.
Figure 9 Referral Client Gender (n=657)
Age
In terms of the age distribution of those who received referrals, the largest group was between the
ages of 35 and 54 (43.1%). Nearly 12% were seniors over the age of 64, and 1.1% of individuals
under the age of 18 received services. The ages ranged from 1 to 87 years, and the average age was
46 years old. The age breakdowns are shown in Table 13.
Table 13 Referral Client Age
Count Percentage
0-17 7 1.1%
18-34 166 25.3%
35-54 283 43.1%
55-64 123 18.7%
65+ 78 11.9%
Total 657 100%
60%
37%
2% 1%
Female Male No answer Trans or Non-binary
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2MATCH, December 2019
ASU-SIRC 20
Service Categories A total of 12 service categories were part of the referral database. Clients were able to qualify for
more than one service resulting in 5,000 referral counts. The most common referral category was
Food (39.7%), followed by Housing (23.5%), and Transportation (14.9%). Education was the least
frequently cited service (0.1%). Figure 10 provides a detailed breakdown of the frequency of each
service category.
Figure 10 Service Offering Category Frequency (n=5,417)
0.1%
0.2%
0.4%
0.4%
0.8%
0.8%
3.8%
5.3%
10.3%
14.9%
23.5%
39.7%
Education
Family & Youth
Health
Work
Legal
Goods
Behavioral Health
Social Supports
Financial Support
Transportation
Housing
Food
Service Offering Categories (N=5,417)
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2MATCH, December 2019
ASU-SIRC 21
Service Offering Name There were 195 unique services offered during this period, with a total of 7,659 services total. The
top three services were all related to food (Emergency Food, Affordable Food, and Food Pantries). The 15
most common service offerings accounted for 27.9% of the total number of services offered. Table
14 provides a breakdown of the 15 most frequently identified service offerings.
Table 14 Service Offering Name
Service Offering Name Referral count Percentage
Emergency food 773 10.1%
Affordable food 702 9.2%
Food pantries 664 8.7%
Transportation assistance 495 6.5%
Affordable housing 453 5.9%
SNAP (food stamps) 448 5.8%
Food pantries 443 5.8%
Utility assistance 260 3.4%
Emergency food 251 3.3%
Transportation assistance 242 3.2%
Medical transportation 172 2.2%
Utility assistance 163 2.1%
Housing support services 162 2.1%
Food vouchers 156 2.0%
Homelessness prevention 141 1.8%
Other Service Offerings (Combined) 2,134 72.1%
Total 7,659 100%
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2MATCH, December 2019
ASU-SIRC 22
Referral Date Figure 11 details the number of referrals for each month over the course of the program. The
months with the highest number of referrals were October and November 2018.
Figure 11 Monthly Referral Count (n=5,000)
Figure 12 Monthly Unique Referral Client Count (n=657)
393
341
131
628608
137
354
483
324 322290
139
225 230
176141
78
0
100
200
300
400
500
600
700
31
51
28
54
38
19
31
66
37
59
38
3336
34
38 37
27
0
10
20
30
40
50
60
70
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2MATCH, December 2019
ASU-SIRC 23
Client Population
Clients participating in the 2MATCH Program are stratified into four groups: High-Risk, Low-Risk,
Opt-Out, and Usual Care. The majority (72%) of those individuals receiving referrals were categorized
as High-Risk. An additional 20% of referrals for individuals classified as Low-Risk, 3% opted out of
receiving referrals, and 5% received Usual Care.
Figure 13 Client Risk Stratification (n=5,000)
Intervention Figure 14 shows the counts of each intervention types. These were based on the 657 unique referral
cases. There were a total of 110 referral cases which did not have the intervention type specified.
There were 106 cases with monthly follow-up calls in progress, and 95 cases where the personal
interview was documented. There were only 25 individuals who declined referrals.
72%
20%
3%5%
AHC High-Risk AHC Low-Risk AHC Opt-Out AHC Usual Care
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2MATCH, December 2019
ASU-SIRC 24
Figure 14 Intervention Type Count
2
11
16
24
25
27
28
32
40
53
56
95
106
Re-opened Navigation within 1 year window
Not in Target Zipcode
Personal Interview / Action Plan Scheduled
High-Risk Attempts to Contact
Navigation Declined
2-week Follow-up Complete
Navigation / Action Plan Complete
Personal Interview/Action Plan Completed
High-Risk Lost to Follow-up
Navigation Lost to Follow-up
2-week Follow-Up Scheduled
Personal Interview / Action Plan Documented
Monthly Follow-up Calls in Progress
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2MATCH, December 2019
ASU-SIRC 25
Conclusion There has been substantial progress made in the 2MATCH Program during this period. One area of
improvement has been in the screening procedures used by staff to implement the 2MATCH
Program. The reason for this change was to reduce the substantial number of the screenings from
outside the initial 13 zip codes. Beginning in August, renewed efforts were made to focus on only
those zip codes in the GTA to great effect. Prior to August, 2019, only 44% of those participants
screened as a part of the program came from this GTA. This rate has almost doubled, as no fewer
than 80% of screenings were in the GTA since the implementation of the new screening procedure.
This marks a significant improvement, and progress toward the targets of this program.
There have been a total 602 individuals screened from the GTA since the beginning of this quarter.
Positive screenings in the five SDOH were slightly lower this quarter than the previous time period.
Food remained the most frequently cited need (34%), followed by Housing (23%), Transportation
(22%), and Utilities (11%). There was an increase in the proportion of Safety screenings (3%) during
this period. For this quarter 261 individuals were stratified as High Risk and an additional 161 were
deemed Low Risk.
The findings from the cumulative navigation highlight the challenges the 2MATCH Advocates face
to help address these SDOH. On average, resolving one of these needs takes an average of 77 days.
Resolving safety concerns takes the longest amount of time (94 days on average) and utilities cases
take on average 64 days, the shortest time period. The vast majority of navigation cases from this
period are still In Progress (80%), and only around 6% of the navigation cases are classified as Resolved.
During this quarter, the Referral data were also analyzed. There were 5,000 referral cases created
since the inception of the 2MATCH Program. At this point, these data represent all the zip codes
served by the program. Going forward, efforts will be made to limit the analysis to only those zip
codes in the GTA. The most effective method for doing this analysis will be explored in the future.
These 5,000 referral cases represented 657 clients with unique Client IDs. This indicates that there
are nearly eight referral cases for each client. Since the program begin, Native American
Connections provided the most referrals (2,472), though Dignity Health had the most unique clients
(433). The top receiving services provided to clients were Food Banks and Emergency Food Assistance.
There were 432 unique organizations receiving clients for the 2MATCH Program, and the Cultural
Cup Food Bank saw the most referrals during this period (160 referrals) and Keogh Health
Connection saw the most unique clients (70).
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2MATCH, December 2019
ASU-SIRC 26
Appendices
Appendix 1
Referring user Last Name Referral count Percentage Unique
Clients Percentage
Hill 2,379 47.6% 89 13.6%
Johnson-Elam 717 14.3% 130 19.8%
Ochoa 550 11.0% 89 13.6%
Flores 282 5.6% 88 13.4%
Enriquez 225 4.5% 39 5.9%
Altamirano 175 3.5% 29 4.4%
Torres 142 2.8% 30 4.6%
Corral Martinez 124 2.5% 36 5.5%
Saldana 114 2.3% 72 11.0%
Valenzuela 93 1.9% 16 2.4%
Velazquez 83 1.7% 14 2.1%
Rivas 39 0.8% 5 .8%
Deng 28 0.6% 3 .5%
Nuñez 18 0.4% 7 1.1%
Acevedo 10 0.2% 3 .5%
Amaya Contreras 7 0.1% 2 .3%
Fonseca 6 0.1% 1 .2%
Torrealva 4 0.1% 1 .2%
Grimes 3 0.1% 3 .5%
Total 5,000 100% 657 100%