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DATA SOURCES
AND VALIDATION
Measure
Unique Identifier |
Data
Source |
Data
Validation |
Health Centers |
1.I.A.1, 1.I.A.2, 1.II.A.1,
2.II.A.2, 1.II.A.3, 1.II.B.1, 1.II.B.2, 1.E |
Uniform
Data System |
Validated
using over 1,000 edit checks, both logical and
specific. These include checks for missing
data and outliers and checks against history
and norms |
1.II.B.3 |
Health
Disparities Collaboratives database (Future
data will be collected through the Uniform Data
System) |
Reported
by grantees participating in the Collaborative;
checked as needed by data coordinator |
Free Clinics
Medical Malpractice |
2.1.A.1, 2.I.A.2, 2.I.A.3 |
Free
Clinics Medical Malpractice Coverage Program
Database stores data on providers and clinics
from free clinic applications |
Data
are edited and checked by program staff |
Hansen’s Disease Activities |
3.II.A.1 |
Disability/deformity
data is collected from NHDP hand and foot screens
(based on the World Health Organization scale)
collected from Ambulatory care clinics, NHDFP
outpatient clinics and private physicians |
Data
are validated by staff at the Hansen’s Disease
Program |
3.II.A.2 |
National
Hansen’s Disease Program annual training records |
Data
are validated by staff at the Hansen’s Disease
Program |
3.II.A.3 |
National
Hansen’s Disease Program Registry |
Data
are validated by staff at the Hansen’s Disease
Program |
3.E |
Fiscal
year budget allocations and expenditures; Ambulatory
Care Program database and National Hansen’s
Disease Program Records |
Data
are validated by staff at the Hansen’s Disease
Program |
National
Health Service Corps |
4.I.C.1, 4.I.C.2, 4.1.C.3,
4.I.C.5, 4.E |
BHCDANET—A
mainframe database containing information collected
from individual scholarship and loan repayment
applications, and recruitment and retention
assistance applications and monitoring data
from individual sites |
BHCDANET
is internally managed, and has the capability
for display and correction of information on
a continuous, as needed, basis. |
4.I.C.4 |
Survey
of NHSC clinicians who have completed their
service obligation |
Contractor
does consistency and logic checks on survey
data |
Nursing Education
Loan Repayment Program |
5.I.C.1, 5.I.C.2, 5.I.C.3,
5.I.C.4, 5.E |
Information
from applications entered into Nursing Information
System (NIS). |
Program
staff and contractors monitor the data and make
corrections as needed. Information is checked
with appropriate sources, including lenders. |
Health Professions |
6.I.B.1, 6.1.C.1, 6.1.C.2,
6.E |
Annual
grantee data submitted through the Comprehensive
Performance Management System/Uniform Progress
Report System (CPMS/UPR). |
Data
are entered through a web-based system that
incorporates extensive validation checks. Grantees
are also required to describe methods and systems
they used to collect and submit data. Those
with deficient systems are required to submit
a corrective action plan. |
Children’s
Hospitals Graduate Medical Education Payment
Program |
7.I.A.1, 7.VII.C.1, 7.VII.C.2 |
Yearly
reconciliation application data submitted by
participating hospitals |
Resident
counts are audited annually by CHGME fiscal
intermediaries. Other data are extracted from
CMS Medicare Cost Reports audited by Medicare
Fiscal Intermediaries. |
7.E |
HRSA
payment data |
Validated
using letters of awards and vouchers generated
by CHGME PP. |
National
Practitioner and Health Care Integrity Data
Banks |
8.III.B.1, 8.III.B.2, 8.III.B.3,
8.III.B.4 |
NPDB
and HIPDB operations statistics, augmented by
a user survey. |
Financial
audits, which involve confirmation of query
volumes, are done continuously. |
8.E |
NPDB
and HIPDB operations statistics |
The
time required to process a query is carefully
monitored by program and by contractor staff,
because this is an explicit element of the performance-based
contract. |
Maternal
and Child Health Block Grant |
10.I.A.1, 10.I.A.2, 10.III.A.4,
10.E |
The
Title V Information System (TVIS) collects data
on grantee performance from grantee annual reports. |
TVIS
allows each State to enter data on performance.
TVIS provides preformatted and interactive data
entry. Calculations are done automatically
and the system performs immediate checks for
errors. Data are validated by project officers
and program staff. |
10.IV.B.1, 10.III.A.1, 10.III.A.2,
10.III.A.3, 10.III.A.5 |
Vital
statistics compiled by the National Center for
Health Statistics, Centers for Disease Control
and Prevention (CDC) |
Data
are validated by CDC. |
Traumatic
Brain Injury |
11.V.B.1, 11.V.B.2, 11.V.B.3,
11.E |
Grantee
annual reports |
Data
confirmed by project officers |
Universal
Newborn Hearing Screening |
13.III.A.1, 13.III.A.2, 13.III.A.3,
13.E |
Data
collected from grantees by Utah State University,
National Technical Resource Center, based on
survey of all States. |
Validated
against annual progress reports submitted by
States. |
Emergency
Medical Services for Children |
14.V.B.1, 14.V.B.2, 14.E |
Grantee
reports |
Data
confirmed by project officers |
Healthy Start |
12.III.A.1, 12.III.A2, 12.II.B.1,
12.E |
Grantee
reports |
Data
confirmed by project officers |
Ryan White
HIV/AIDS Programs |
16.I.A.1, 16.I.A.2, 16.II.A.2,
16.II.A.3, 16.III.A.1, 16.III.A.2, 18.I.A.1,
19, II.A.1, 20.II.A.1, |
The
Ryan White CARE Act Data Report (CADR) is completed
by all Ryan White HIV/AIDS Program Part A, B,
C, and D-funded grantees and service providers |
This
web-based data collection method communicates
errors and warnings in the built in validation
process. To ensure data quality the Program
conducts data verification for all CADR submissions.
Reports detailing items in need of correction
and instructions for submitting revised data
are sent to grantees. |
16.II.A.1, 16.E |
ADAP
Quarterly Report data provided by State ADAPs |
Web-based
data checked through a series of internal consistency/validity
checks. Also HIV/AIDS program staff review
submitted Quarterly reports, and provide technical
assistance on data-related issues. |
21.V.B.1 |
AETC
Participant Information Form from training program
participants |
Participant
Information Forms are scanned into a Web-based
system that communicates errors and inaccuracies
in the built in validation process. |
22.I.D.1 |
Dental
Reimbursement Program, Application Form |
Database
Utility, a Web-based tool, is used to electronically
complete and submit the Dental Reimbursement
application. The Database Utility application
validates the report prior to the submission
to the Program. To ensure data quality, the
Program also conducts data verification for
all Dental Reimbursement Program Application
Form submissions. Reports detailing items in
need of correction and instructions for submitting
revised data are sent to grantee. |
Organ Transplantation |
23.II.A.1, 23.II.A.2, 23.II.A.3,
22.II.A.4, 23.II.A.5, 23.II.A.6, 23.II.A.7,
|
The
Organ Procurement and Transplantation Network
(OPTN) data system collects information from
transplant centers, organ procurement organizations
and histocompatibility laboratories on all organ
transplants that involve the use of deceased
donor organs. |
Data
entry screens include a variety of data element
checks and cross checks that must be satisfied
before the data are accepted by the system.
The contractor for the OPTN conducts additional
data quality checks and follows-up with relevant
entities to resolve discrepancies in the data.
An additional level of data quality review is
performed by the contractor for the Scientific
Registry of Transplant Recipients (SRTR) to
verify the that number of deaths reported pre-
and post-transplant are accurate. |
23.E |
OPTN
contract budget and OPTN financial statements |
OPTN
financial statements are independently audited
in accordance with OMB A-133 Circular. |
C.W. “Bill”
Young Cell Transplantation Program |
24.II.A.1, 24.II.A.2, |
Data
are captured within the Search, Tracking and
Registry (STAR) system, which is a computerized
system, containing information pertaining to
unrelated volunteers willing to donate blood
stem cells and patients in need of blood stem
cell transplants. Monthly reports generated
from the STAR system are used to collect information
on donors and cord blood units. |
Validated
by project officers analyzing comprehensive
monthly reports. An additional level of data
quality review is performed by the program contractor
utilizing value protected screens to decrease
the likelihood of data entry errors and conducting
site visits to validate data and review patient
records. |
24.E |
Data
are derived from the contractor and copies of
contracts with human leukocyte antigen typing
laboratories. |
Validated
through Project Officer monitoring the contractor’s
budget and vouchers submitted for payment. |
Poison Control
Centers |
25.III.D.1, 25.III.D.2, 25.III.D.3,
25.E |
On-line
grant applications and grantee reports |
Data
are regularly reviewed by project officers. |
Rural Health |
27.IV.A.1, 28.V.A.1, 29.IV.A.1,
30.V.B.3, 31.V.B.1, 31.V.B.2 |
Annual
grantee reports |
Validated
by project officers. |
27.V.B.1, 27.E, 30.V.B.!,
30.V.B.2, |
Medicare
Cost Reports |
Validated
by Centers for Medicare and Medicaid Services |
Radiation
Exposure Screening and Education |
32.I.A.1, 32.I.A.2, 32.E |
Annual
grantee data reports |
Verified
by project officers |
Black Lung
Clinics |
33.I.A.1, 33.I.A.2, 33.E |
Grantee
reports |
Reviewed
by program staff |
Telehealth |
34.III.D.1, 34.III.D.2, 34.II.A.1,
34.E |
Annual
grantee profiles, 6-month progress reports from
grantees |
Program
staff validate data through reviews of grantee
submissions, discussions with grantees, and
site visits when applicable. |
Health Education
Assistance Loans |
9.VII.C.1 |
Quarterly
Lender Reports of Loans Outstanding entered
into program’s Online Processing System (HOPS) |
Program
conducts routine validation checks of the data
received with information in HOPS database on
a quarterly basis |
9.E |
Online
Processing System (HOPS) |
Reports
reviewed by program staff |
Vaccine Injury
Compensation Program |
26.II.A.1, 26.II.A.2, 26.II.A.3,
26.II.A.4, 26.II.A.5, 26.E |
VICP
internal data system and DOJ CASES system. |
Validated
by OIG, GAO, CBO, and Agency and Departmental
independent actuarial contractors. |
Program Management |
35.VII.B.1 |
Chief
Information System Security Officer, FISMA Reports
which includes OIG audit results, training logs |
Chief
Information Security Officer examines alternative
sources to confirm and validate the annual security
performance metrics. |
Family Planning |
36.II.A.1, 36.II.A.2, 36.II.A.3,
36.II.B.1, 36.II.C.1, 36.II.C.2, 36.E |
Family
Planning Annual Report (FPAR), consisting of
14 tables in which grantees report data. |
Data
are checked for inconsistencies and returned
to grantees for correction. Data found by the
contractor compiling the data submits these
to the data coordinator who works with the regional
offices to make corrections. |
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