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Percent Screened Positive for Diabetes among People with Confirmed TB

References in the content below refer to the PBMEF Guide.

Definitions

Percent of people diagnosed with TB who were screened for diabetes before initiating TB treatment and who screened positive for diabetes.

Screening for diabetes may include symptoms, e.g., polyuria, polydipsia, urine dipstick, blood glucose, or Hemoglobin A1c (HbA1c).

Calculation: (Numerator/Denominator) x 100

Numerator

Number of people diagnosed with TB who screened positive for diabetes before initiating TB treatment

Denominator

Number of people diagnosed with TB who were screened for diabetes
Ref #
DM_SCRN_POS
Tier Level
Project Level Indicators
Category
Cure
Type
Output
Unit of Measure
Percent of people
Data Type
Percentage
Disaggregations
Age (<15, 15+)
Sex
Reporting Level
Project Level indicators are expected to be reported at the subnational level for subnational units where the partner is operating. National data may also be reported if available.
Reporting Frequency
This indicator should be reported on an annual basis at a minimum. More frequent monitoring on a quarterly or monthly basis is recommended.

The data sources may be project databases, electronic medical records (EMRs) of the National TB Program (NTP), health management information systems (HMIS), etc.

Diabetes mellitus (DM) is associated with a two- to threefold increase in the risk of developing TB disease, a twofold risk of death during TB treatment, a fourfold risk of TB relapse after treatment completion, and a twofold risk of MDR-TB. In 2019, over 15% of people with TB were estimated to have diabetes. Addressing comorbidities like diabetes is central to patient-centered, integrated care. This indicator allows programs to monitor the coverage of testing for diabetes among people diagnosed with TB. Though DM screening may occur at other times, this indicator captures screening for diabetes prior to treatment initiation to align with proposed global indicators on DM.

Data from this indicator will be used to monitor diabetes diagnosis for people with TB and diabetes. Proper detection will enable early initiation of treatment for both conditions, which will ultimately improve both TB treatment adherence and positive TB treatment outcomes.

There are no related indicators for this indicator.

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