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Vision: Healthy Communities, Healthy People 2019 Uniform Data System Trends Presentation August 11, 2020 Data and Evaluation Division (DED) Office of Quality Improvement (OQI) Bureau of Primary Health Care (BPHC)

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Page 1: 2019 Uniform Data System Trends - bphc.hrsa.gov · We are seeing more and more patients in or around public housing. 3.47 M 4.41 M ... stable baseline has not yet been established

Vision: Healthy Communities, Healthy People

2019 Uniform Data System TrendsPresentation

August 11, 2020

Data and Evaluation Division (DED)Office of Quality Improvement (OQI)Bureau of Primary Health Care (BPHC)

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Opening Remarks

Alek Sripipatana, PhD, MPHDirector, Data and Evaluation DivisionOffice of Quality ImprovementBureau of Primary Health Care

2

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National Health Center Week

3

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Presenters

Dan DuplantierTeam LeadData Production Team

Molly PelzerManagement AnalystData Analytics Team

Josh Bolton, MSIEStatisticianData Analytics Team

Judy Van Alstyne, MPHPublic Health AnalystData Dissemination Team

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Presentation Overview

AAG

END

• UDS Overview and Changes to the 2019 UDS Report• 2019 UDS Data Trends: Health Center Growth Patient Demographics Access to Care Clinical Quality Health Information Technology

• Resources• Questions and Discussion

5

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The Uniform Data System (UDS)

• Standardized health center reporting system • Required by Section 330 of Public Health Service Act• Annual reports submitted by health centers by 2/15• Annual changes announced via PAL• UDS Manual provides reporting instructions

UDS is updated every year to: Reduce reporting burden Keep pace with the current

healthcare environment Reflect stakeholder feedback Ensure evaluation of bureau and

Departmental priorities

6

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2019 UDS Reporting: Summary of Key ChangesTable 5 – Staffing and Utilization:

New column for “virtual visits” (e.g., telemedicine). Expanded detail for Personnel by Service Categories: Mental Health and

Substance Use DisorderTable 5A – Tenure for Staff:

Removed this table.Table 6B – Quality of Care Measures:

Replaced Coronary Artery Disease (CAD) measure (not an eCQM) with Statin Therapy for the Prevention and Treatment of Cardiovascular Disease (CMS347V2).

Appendix – Health Information Technology (HIT) Form: Revised questions to better understand HIT capabilities and use including

Social Determinants of HealthAppendix – Workforce:

Added Appendix F to understand health center involvement in health professional training and internal evaluation of staff satisfaction.

For full list of changes and table shells, see the Program Assistance Letter.

7

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Health Center Program Growth

Number of health centers2017: 1,3732018: 1,3622019: 1,385

Access to care Comprehensive

service delivery Quality of Care

The patient population has increased by 5%,

from 28.4 million to 29.8 million.

The number of delivery sites increased by 9%,

from 11,744 to 12,785.

The total full time equivalents (FTEs)

increased by nearly 13%, adding over

29,000 FTE positions and supporting 252,868

clinical and support staff.

Source: Uniform Data System 2018 & 2019 – Table 3A, Health Center Site Information

8

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Executive Summary: 2019 UDS Data

Increased Access to Care

+ 23 health centers for a total of 1,385

+ 1.46 million patients for a total of 29.8 million

+ 6.49 million visits for a total of 122.3 million

+ 16,717 full-time equivalents for a total of 252,868

Improved Delivery of

Comprehensive Services

+ 23 health centersproviding care across 3 or more comprehensive services+ 35 health centersproviding care across 4 or more comprehensive services+ 7 health centers providing care across 5 comprehensive services

Advanced Quality of Care

96% of health centers met or exceeded one or more national benchmarks*

89% of HCs improved in 5 or more Clinical Quality Measures

53% of HCs improved in 8 or more Clinical Quality Measures

Addressed Key Public Health

Issues

58% of health centers provided Medication-Assisted Treatment

+ 2,196 MAT eligible providers for a total of 7,095

+ 48,379 MAT patients for a total of 142,919

+ 126,430 patients with diabetes for a total of 2,521,656

Source: Uniform Data System, 2017-2019. * Healthy People (HP) 2020 available at https://www.healthypeople.gov/.

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Patient Demographics

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Patient Demographics: Age and Gender

Age 2018 2017

0 to 17 5.36% 9.65%

18 to 64 4.26% 8.22%

65 and over 10.11% 21.26%

Source: Uniform Data System 2017, 2018, 2019 – Table 3A

42.2

7%

42.3

5%

42.5

1%

57.7

3%

57.6

5%

57.4

9%

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

80.00%

90.00%

100.00%

2017 2018 2019

Gender

Male Female

11

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Patient Demographics: Federal Poverty GuidelineFederal Poverty Guideline (FPG)

69.15%

15.31%

7.01%8.52%

68.23%

15.54%

7.57%8.67%

67.97%

15.42%

7.67%

8.94%

0.00 M

5.00

10.00

15.00

Num

ber o

f Pat

ient

s

M

M

M

20.00 M

25.00 M

2017 2018 2019<=100% FPG 101-150% FPG 151-200% FPG Over 200% FPG

*Patients with Unknown FPG Status: 7.68 M (2017), 8.01 M (2018), 8.48 M (2019)

Source: Uniform Data System 2017, 2018, 2019 – Table 4

12

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Patient Demographics: Insurance StatusInsurance Status: Percent and Number of Patients

6.22(22.88%)

M,

13.34 M,

13.74 M,(48.42%)

14.21 M,(47.61%)

(49.09%)

2.56 M,(9.40%)

2.74 M,(9.66%) 2.93

(9.81M,%)

0.27 M,

0.27 M,(0.95%)

0.27 M,

4(1

.79M,7.62%)

(1.01%)

1.04 M,(3.82%)

1.06 M,(3.74%)

M,3%)

1.13 M,(3.77%)

6(2

.42 M,2.62%)

6.78 M,(22.74%)

5.21 M,(18.35%)

(0.90%)

5.65(18.9

0.00 M

2.00 M

4.00 M

6.00 M

8.00 M

10.00 M

12.00 M

14.00 M

16.00 M

Uninsured Medicaid Medicare Total Public Private Dual Eligibles

Num

ber o

f Pat

ient

s

2017 2018 2019

Source: Uniform Data System 2017, 2018, 2019 – Table 4

13

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Patient Demographics: Special PopulationsWe are seeing more and more patients in or around public housing.

3.47 M

4.41 M

5.17 M

0.97 M 1. M 1.03 M1.36 M 1.41 M 1.46 M

6.00 M

5.00 M

4.00 M

tsnetiaP 3.00 M

f Oreb 2.00 M

umN

1.00 M

0.00 MVeterans

0.36 M 0.39 M 0.40 M

Patients in or Around Public Housing Agricultural Workers Homeless

2017 2018 2019

Source: Uniform Data System 2017, 2018, 2019 – Table 4

14

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Access to Care

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Summary on Priorities: Access2018 to 2019

Substance Use Disorder• Increase (45.81%) in patients

receiving substance use disorder care and treatment: 223,390 to 325,732 (+102,342).

• Increase (22.27%) in providers offering treatment and care from 1,747.71 to 2,136.94 (+389).

• Increase (25.70%) in patients undergoing screening, brief intervention, and referral to treatment (SBIRT) from 1,099,001 to 1,381,408 in the same time.

Mental Health • Increase (14.75%) in mental health patients

from 2,249,876 to 2,581,706 (+331,830).• Likewise, increase (15.06%) in mental health

providers from 11,769.89 to 13,542.32 (+1,172).

HIV• Number of patients with

Symptomatic/Asymptomatic HIV increased from 191,717 to 196,218 (2.35% increase).

Source: Uniform Data System 2018, 2019 – Tables 5, 6A, 6B, 7

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Substance Use Disorder ServicesThe proportion of health centers providing SUD services* increased by 13 percentage points from 2018 to 2019 to nearly 60%.

453,(32.99%)

640,(46.99%)

826,(59.64%)

0

100

200

300

400

500

600

700

800

900

2017 2018 2019

Num

ber o

f Hea

lth C

ente

rs

*Proportion determined by health centers reporting serving more than one SUD patientSource: Uniform Data System 2017, 2018, 2019 – Table 5

17

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Medication Assisted Treatment (MAT)National Trends in MAT: Patients, Providers, & Visits

There are strong upward trends in patients receiving MAT, providers eligible to prescribe MAT, and health centers providing MAT.

64,597

94,540

142,919↑121%

0

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

Patients receiving MAT

2017 2018 2019

Patie

nts

Patients receiving MAT

2,973

↑139%

4,899

7,095

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

8,000

Prov

ider

s

Providers* eligible to prescribe MAT

2017 2018 2019

472

621

803

0

100

200

300

400

500

600

700

800

900

Heal

th C

ente

rs

Health centers providing MAT toPatients

Health centers providing MAT to Patients

2017 2018 2019

↑70%

*Definition of MAT providers expanded to include physician assistants & certified nurse practitioners in 2017.Source: Uniform Data System 2017, 2018, 2019 – Table ODE

18

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Personnel by Major Service Category: Mental Health ServiceNurse practitioners are most likely to conduct virtual visits for mental health.

Source: Uniform Data System 2019 - Table 5

57.33%

48.67% 48.38%

30.67%

38.59%

84.99%

38.32%

9.86%

2.14%

12.31%

0.43%6.54%

0.01%

12.82%

0.48%

8.46%

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

80.00%

90.00%

Physicians (other than Psychiatrists) Nurse Practitioners Physician Assistants Certified Nurse Midwives

Personnel Clinical Visits Virtual Visits Patients

19

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Personnel by Major Service Category: Substance Use Disorder

Psychiatrists are most likely to conduct virtual visits for substance use disorder.

Physicians (otherthan

Psychiatrists)

NursePractitioners

(Medical)

PhysicianAssistants

Certified NurseMidwives Psychiatrists Licensed Clinical

PsychologistsLicensed ClinicalSocial Workers

Other LicensedMental Health

ProvidersPersonnel 43.04% 24.31% 8.12% 1.70% 3.42% 2.33% 9.20% 7.89%Clinical Visits 35.40% 26.93% 8.51% 0.51% 5.18% 2.22% 10.87% 10.38%Virtual Visits 5.92% 10.54% 0.33% 0.01% 51.50% 0.54% 12.43% 18.73%Patients 37.02% 32.41% 11.04% 0.65% 4.04% 1.61% 6.92% 6.32%

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

Personnel Clinical Visits Virtual Visits Patients

Source: Uniform Data System 2019 – Table 5

20

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Training and Workforce Development• 960 (69.31%) of health centers reported

health professional education/training in 2019 (does not include continuing education credits).

• 13.23% reported being sponsors, 73.95% reported being training site partners, and 12.81% reported “other”.

26734

61771936 37404885 6722

1068

11062 8658

8264808

585 241

42083

68817

0

10000

20000

30000

40000

50000

60000

70000

80000

Medical Dental MH and SUD Vision Other Professionals

Pre-Grad Post-Grad Total

Note: Data first available in 2019 UDS, stable baseline has not yet been establishedSource: Uniform Data System 2019 – Table Workforce

21

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Clinical Quality

22

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Summary of Priorities: Quality2018 to 2019

Depression• Increase (1.04%) in patients screened

for Depression and with a Follow-up Plan Documented from 70.57% to 71.61%.

HIV• Patients screened for HIV Linkage to Care

increased from 85.55 % to 87.21% (1.66%increase).

Obesity• Child and adolescent BMI and follow-up:

Screening increased from 69.16% to 71.21% (2.05% increase)

• Adult Weight screening increased from 70.16 % to 72.43% (2.28% increase).

Diabetes: Hemoglobin A1c Poor Control (HbA1c > 9%)• All racial/ethnic groups all decreased rates of

uncontrolled diabetes: national average decreased from 32.79% to 31.95%.

Source: Uniform Data System 2018, 2019 – Tables 5, 6A, 6B, 7

23

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Comparison to National Benchmarksnote – see slide 26 for 508 compliant version

Percentages indicate amount above (+) or below (-) national benchmark comparisons

Child/Adolescent BMI & Follow-up

Adult BMI & Follow-up

Childhood Immunization

Tobacco Screening &

Cessation

Asthma & MedsIschemic Vascular

Disease: Therapy

Colorectal Screening

Cervical Screening

Treatment of Cardiovascular

Disease

Early Entry into Prenatal Care

Low Birth Weight*

Hypertension Control

Uncontrolled Diabetes*

Depression Screening

HIV Linkage to Care Dental Sealants

+5.72%

-21.44% -27.97%

+13.60%

+22.95%

+9.21%-9.25%

-3.29% -0.15%%

*Indicates outperforming National Benchmarks*Indicates underperforming National Benchmarks

Source: Uniform Data System 2018, 2019 - Tables 6B, 7

* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.

*Indicates no available National Benchmarks to Compare

-0.91%

† indicates a change in operational definition due to CMS e-CQM alignment 2019.

24

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Comparison to National Benchmarks(508 compliant version of slide 25)

Percentages indicate amount above (+) or below (-) national benchmark comparisonsOutperforming National Benchmarks• Asthma & Meds

(+22.95%)• Low Birth Weight* (-

0.15%)• Hypertension Control

(+5.72%)• Uncontrolled Diabetes* (-

9.25%)• HIV Linkage to Care

(+9.21%)• Dental Sealants

(+13.60%)

Underperforming National Benchmarks• Colorectal Screening (-

21.44%)• Cervical Screening (-

27.97%)• Treatment of

Cardiovascular Disease (-0.91%) †

• Early Entry into Prenatal Care (-3.29%)

No Benchmarks to Compare• Child/Adolescent BMI &

Follow-up• Adult BMI & Follow-up• Childhood Immunization• Tobacco Screening &

Cessation• Ischemic Vascular

Disease: Therapy• Depression Screening

* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.† indicates a change in operational definition due to CMS e-CQM alignment 2019.Source: Uniform Data System 2018, 2019 - Tables 6B, 7

25

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Year-Over-Year Performance (2018-2019)note – see slide 28 for 508 compliant version

Changes in Clinical Quality Measures: Alignment and Performance

* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.

Source: Uniform Data System 2018, 2019 – Tables 6B, 7 26

Child/Adolescent BMI & Follow-up

Adult BMI & Follow-up

Childhood Immunization

Tobacco Screening &

Cessation

Asthma & MedsIschemic Vascular

Disease: Therapy

Colorectal Screening

Cervical Screening

Treatment of Cardiovascular

Disease

Early Entry into Prenatal Care

Low Birth Weight*

Hypertension Control

Uncontrolled Diabetes*

Depression Screening

HIV Linkage to Care Dental Sealants

+1.36%

+1.45%

+1.04%

+0.58%

+0.31%%

+4.00%

-0.63% -0.08%%

+1.67%-0.84%

-0.92%%

+2.28%

-0.01% -0.05%%

+2.05%

*Indicates increase in performance since 2018

*Indicates decrease in performance since 2018*Indicates definition has changed since 2018

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Year-Over-Year Performance (2018-2019)(508 compliant version of slide 27)

Changes in Clinical Quality Measures: Alignment and Performance

• Increase in Performance Child/Adolescent BMI & Follow-up

(+2.05%) Adult BMI & Follow-up (+2.28%) Childhood Immunization (+0.31%) Colorectal Screening (+1.45%) Cervical Screening (+0.58%) Low Birth Weight * (-0.05%) Hypertension Control (+1.36%) Uncontrolled Diabetes * (-0.84%) Depression Screening (+1.04) HIV Linkage to Care (+1.67%) Dental Sealants (+4.00%)

• Decrease in Performance Tobacco Screening & Cessation (-

0.92%) Asthma & Meds (-0.63%) Ischemic Vascular Disease:

Therapy )-0.08%) Early Entry to Prenatal Care (-

0.01%)

• Definition has Changed Treatment of Cardiovascular

Disease

* Uncontrolled Diabetes and Low Birth Weight are inverse measures – performance improves as percentages decrease.

Source: Uniform Data System 2018, 2019 - Tables 6B, 7

27

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National Quality Leader: Behavioral HealthThere are consistent upward trends in the amount of patients

receiving SBIRT, MAT, and depression screenings with follow-up plans.

0.46 M(1.88%)

0.72 M(2.77%)

1.02 M(3.74%)

1.10 M(3.87%)

1.38 M(4.63%)

-

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

1,600,000

HRSA Health Center Program Patients who received SBIRT

2015

2016

2017

2018

2019

64,597

94,540

142,919

0

20,000

40,000

60,000

80,000

100,000

120,000

140,000

160,000

Patients receiving MAT

2017 2018 2019Pa

tient

s

66.15

70.57 71.61

40

50

60

70

80 CMS2v8 - Screening for Depression and Follow-Up Plan

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

Source: Uniform Data System 2017, 2018, 2019 – Tables 6A, 6B, 7 28

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National Quality Leader: Heart Disease

Source: Uniform Data System 2017, 2018, 2019 –Tables 6A, 6B, 7

NationalBenchmark

87.50 88.09 87.17

60

65

70

75

80

85

90

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS138v7 - Tobacco Use: Screening & Cessation Intervention*

79.278080.86 80.78

50

60

70

90

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS164v7 - Ischemic Vascular Disease: Use of Aspirin or another

Antiplatelet ‡

62.7163.26

64.62

55

57

59

61

63

65

67

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS165v7 - Controlling High Blood Pressure*

* indicates a change in operational definition due to CMS e-CQM alignment 2017.‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.

Source: Uniform Data System 2017, 2018, 2019 – Tables 6A, 6B, 7 29

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National Quality Leader: Heart Disease, cont.

Source: Uniform Data System 2017, 2018, 2019 – Tables 6A, 6B, 7

30

87.5

79.27

62.71 63.26 64.62

88.09

80.86

87.17

80.78

70.09

0

10

20

30

40

50

60

70

80

90

100

Tobacco Use: Screening & CessationIntervention

Ischemic Vascular Disease: Use of Aspirin oranother Antiplatelet

Controlling High Blood Pressure Statin Therapy for the Prevention andTreatment of Cardiovascular Disease

2017 2018 2019

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Behavioral Health (BH) NationalBenchmark

2017-2019 Trend Analyses

87.50 88.09 87.17

60

65

70

75

80

85

90

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS138v7 - Tobacco Use: Screening & Cessation Intervention*†

66.15

70.57 71.610

40

50

60

7

80

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS2v8 - Screening for Depression and Follow-Up Plan

* indicates a change in operational definition due to CMS e-CQM alignment 2017.† indicates a change in operational definition due to CMS e-CQM alignment 2018.

Source: Uniform Data System 2017, 2018, 2019 – Table 6B 31

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Chronic Diseases2017-2019 Trend Analyses

NationalBenchmarkNational

Benchmark

We continue to make progress in combatting chronic diseases.

63.85

70.15

72.43

58

60

62

64

66

68

70

72

74

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS69v7 - Body Mass Index (BMI) Screening and Follow-Up

Plan ‡

65.85

69.16

71.21

63

64

65

66

67

68

69

70

71

72

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS155v7 - Weight Assessment and Counseling for Nutrition and Physical Activity for: Children and Adolescents ‡

32.95 32.79 31.95

0

10

20

30

40

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS122v7 – Poor Control Diabetes Hemoglobin A1c

(HbA1c > 9%)*(Inverse measure)

62.7163.26

64.62

55

57

59

61

63

65

67

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS165v7 - Controlling High Blood Pressure*

* indicates a change in operational definition due to CMS e-CQM alignment 2017.‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.

Source: Uniform Data System 2017, 2018, 2019 – Tables 6B, 7 32

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Cancer Screening NationalBenchmark

2017-2019 Trend Analyses

There is a slight upward trend in cancer screenings, but we still have work to do in order to meet national benchmarks.

42.02 44.11 45.57

0

10

20

30

40

50

60

70

80

90

100

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS130v7 - Colorectal Cancer Screening * ‡

55.67 55.95 56.53

0

10

20

30

40

50

60

70

80

90

100

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS124v7 - Cervical Cancer Screening ‡

* indicates a change in operational definition due to CMS e-CQM alignment 2017.‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.

Source: Uniform Data System 2017, 2018, 2019 – Table 6B 33

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Maternal, Child, and Adolescent HealthNational

Benchmark

2017-2019 Trend Analyses

73.97 73.82 73.81

67

69

71

73

75

77

79

81

83

85

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

Early Entry into Prenatal Care

8.038.00

8.05

7.6

7.7

7.8

7.9

8

8.1

8.2

8.3

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

Low Birth Weight(Inverse measure)

40.2439.44 39.75

30

32

34

36

38

40

42

44

2017 2018 2019

Perc

enta

ge o

f Pat

ient

s

CMS117v7 - Childhood Immunization ‡

‡ indicates a change in operational definition due to CMS e-CQM alignment 2018.

Source: Uniform Data System 2017, 2018, 2019 – Tables 6B, 7 34

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Patient-Centered Medical Home (PCMH)National Patient-Centered Medical Home (PCMH) Recognition in Health Centers

(78% as of July 01, 2020 with 1079/1376 Health Centers)

Pacific Island Territories• American Samoa 0%• Fed States of Micronesia 0%• Guam 100%• Marshall Islands 0%• Northern Mariana Islands 100%• Palau 0%• Virgin Islands 0%

Recognition:

Source: Accreditation and Patient Centered Medical Home Report, EHB

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Summary of Priorities: Cost2018 to 2019

Cost Per Patient• Total cost per patient increased (5.48%) from $990.17 to $1,044.40 ($54.23). • Medical cost per medical patient increased (3.83%) from $623.22 to $647.11 ($23.89).• BPHC Grant Dollars per Patient decreased (-1.47%) from $170.17 to $167.67 (-$2.50).

Total Funding & Costs• Total BPHC grants increased (3.59%) from $4.83B to $5.00B ($173.50M)• Total accrued costs increased (10.89%) from $28.10B to $31.16B ($3.06B)

Source: Uniform Data System 2018, 2019 – Tables 5, 6A, 6B, 7

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Health Information Technology

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Health Centers Offering Telehealth ServicesIn 2019, 42.74% (592) of all health centers provided telehealth services, a slight decrease from 43.03% in 2018. It will be interesting to see how this changes in 2020.

165

446

35

11189

192

61

10 28

89

2852

0

50

100

150

200

250

300

350

400

450

500

2019

Primary Care Services Mental Health Sevices Oral Health Services

Chronic Conditions Other Substance Use Disorder

Dermatology Disaster Management Consumer and Professional Health Education

Provider-to-provider consultation Radiology Nutrition and dietary counseling

Source: Uniform Data System 2019 – Table ODE

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Visit TypeVirtual visits made up less than 0.4% of all visits. There were approximately 255 in-person visits (122,303,749) for every virtual visit (478,333) in 2019.

130,126

4,855

247,297

6,724 2,178

84,542

478,333

0

100,000

200,000

300,000

400,000

500,000

600,000

Medical Dental Mental Health Substance UseDisorder

Vision Enabling Total Visits

2019 Virtual Visits

Source: Uniform Data System 2019 – Table 5

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Capacity for Virtual VisitsMental health is the most common category of care provided virtually by health centers.

15.31%

1.08%

28.74%

5.27%

0.43%

3.47%

0.00%

5.00%

10.00%

15.00%

20.00%

25.00%

30.00%

35.00%

2019

Percentage of Health Centers Providing Virtual Visits

Medical Dental Mental Health Substance Use Disorder Vision Enabling

Numerator-Number of Health Centers with Virtual Visits > 0Denominator- Total Number of Health Centers in 2019

Source: Uniform Data System 2019 – Table 5 40

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Health Centers Offering Telehealth Services: 2017 – 2019

• Health centers offering mental health services through Telehealth continue to increase.

• Telehealth offerings shift as health centers determine how to best utilize virtual visits.

125164174165

315

401446

37 47 35

147 140124 110 132

6717

8961

10 28

89

2852

11189

192

050

100150200250300350400450500

Num

ber o

f Hea

lth C

ente

rs

2017 2018 2019

Note: Provider consultation, radiology, and nutrition/dietary counseling categories first available in 2019

Source: Uniform Data System 2017, 2018 – HIT; 2019 – ODE 41

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Percentage of Health Centers Offering Telehealth Services

Source: Uniform Data System 2019 – HIT 42

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Utilization of EHR for Beyond Direct Patient Care

98.70%

83.61%78.34%

25.70%

3.25% 0.58%0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

80.00%

90.00%

100.00%

Quality Improvement Population healthmanagement

Program evaluation Research Other Not used for beyonddirect patient care

HIT/EHR Use (% of HCs)

HIT/EHR Use (% of HCs)

A large percentage of health centers are using EHR to

benefit patients in ways other than direct patient care.

Source: Uniform Data System 2019 – HIT 43

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Standardized Screening for Social Risk Factors

37.98%

34.51%

19.28%

9.46%

6.57%

6.06%

0.87%

0.72%

0.51%

Non-Standardized Screener

PRAPARE

Other

Recommended Social and Behavioral Domains for EHRs

Accountable Health Communities Screening Tools

WE CARE

Upstream Risks Screening Tool and Guide

WellRx

iHELP

• 979 (70.69%) of health centers report using HIT or their EHR to collect data on individual patient’s social risk factors.

• Of the 406 health centers currently not collecting social risk factors, 316 report plans to collect risk factors in the future.

Source: Uniform Data System 2019 – HIT

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Resources

45

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2019 UDS: Web Display BPHC Webpage > Data and Reporting Tab/Tile

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2019 UDS: National Report Example

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2019 UDS: Accessing the Data BPHC Webpage > Data and Reporting Tab/Tile

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ResourcesUDS Resources Webpage • Includes the 2020 UDS Manual and archived technical assistance

UDS Modernization Initiative Page• Information Reporting Enhancements and UDS Test Collaborative

UDS Training Website• Comprehensive site for UDS training and technical assistance

UDS Mapper • Depicts Health Center Program geography and supports service area analyses

Health Center Program Support • Phone: 877-464-4772 or Email contact form

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Upcoming DED Events

2020 UDS TA Webinars FY2020 Quality Improvement Awards TA webinar (September 3, 2020) 2020 UDS Preliminary Reporting Environment (PRE) webinar (Fall 2020) 2020 UDS Reporting Special Topic Training webinars (Fall 2020)

DED Speaker Series Webinars Social Determinants of Health and Service Utilization (August 25, 2020) Health Center Program Financial Analysis Research (September 17, 2020)

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Questions?

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Thank You!

Data and Evaluation Division (DED)Office of Quality Improvement (OQI)Bureau of Primary Health Care (BPHC)Health Resources and Services Administration (HRSA)

[email protected]

bphc.hrsa.gov

Sign up for the Primary Health Care Digest

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