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Calculation of TB patients' Drug Consumption using ENRS

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Calculation of TB patients' Drug Consumption using ENRS Amal Galal M&E, Surveillance officer NTP Egypt Dr. Samiha Baghdadi MO - EMRO WHO – PowerPoint PPT presentation

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Title: Calculation of TB patients' Drug Consumption using ENRS


1
Calculation of TB patients' Drug Consumption
using ENRS
  • Amal Galal
  • ME, Surveillance officer
  • NTP Egypt

Dr. Samiha Baghdadi MO - EMRO WHO
2
Outlines
  • What is ENRS
  • What is the role of ENRS
  • Historical background
  • How ENRS can calculate the drug consumption of
    each TB patient.
  • Applications on consumption using ENRS.
  • At Central level
  • At Provincial level
  • At District level
  • Challenges facing the nationwide expansion

3
What is ENRS
  • It is a standalone system using available soft
    wares (Excel/Access), with local copy of the
    database.
  • It is the Electronic version of the main
    Registers in the TB recording reporting System,
    where Nominal data entry is done at TBMU level
    using Excel.
  • Nominal data are then processed to produce the
    routine reports in the NTP, and calculate
    indicators using Excel and Access.
  • Registers are linked using Access to produce
    patient profile and comprehensive data base

4
What is the role of ENRS
  • Improve quality of TB surveillance accuracy,
    completeness and timeliness of reporting and
    indicators calculation in NTP (high quality)
  • Facilitate supervision and increase its
    efficiency
  • Facilitate locating patients per their residency
    not only their place of diagnosis.
  • Capacity building of human resources
  • Improve planning and budgeting for TB drug
    management.

5
Historical background
  • Electronic Nominal Recording reporting System
    (ENRS) in Egypt, was applied at the district
    level since 2006, after piloting in two
    provinces.
  • After two years of implementation, the system was
    updated to integrate the four recommended
    registers (suspect, lab, district, contact)
    within the revised WHO recording reporting system
    aiming at upgrading data quality verification,
    plus data analysis and interpretation skills at
    the provincial district levels.
  • More than 600 data entry persons in 157 TBMUs
    were trained on data entry, cleaning and ensuring
    the parameters of quality verification.
  • A handy data entry user guides were developed to
    help in a simple way, supported by pictures and
    instructions for each file to be as a reference
    in data entry and to facilitate the quality of
    work.

6
  • Confidentiality is ensured through developing a
    TB_ID number for each patient, consisted of his
    serial no., province letter code, TBMU no. code
    and file code.
  • A supervision plan is applied with a detailed
    checklist to review the hard and soft formats,
    also for measuring the quality parameters of
    recording and reporting.
  • Lastly, in 2009 Egypt has the whole set of ENRS
    package, four files from 154 TBMUs in 28
    provinces were completed ( 45,000 records from
    suspects, 66,000 records from lab, 7300 records
    from district 14,000 records from contacts were
    recorded and available)

7
How ENRS can calculate the drug consumption of
each TB patient
  • The sheet is supported with equations to
    calculate the actual number of treatment days,
    based on the date treatment started and the date
    on which treatment ended.
  • Based on the number of treatment days the system
    can calculate the actual consumption of the
    drugs.

8
Applications on consumption using ENRS.
9
Calculation of consumption at Central level_1
  • The number of TB patients in 2009 and its
    breakdown by type outcome.

The actual number of treatment days by the same
breakdown
10
Calculation of consumption at Central level_2
  • The consumption of Isoniazid in 2009.

The consumption of Rifampin in 2009
11
Calculation of consumption at Central level_3
  • The consumption of Ethambutol in 2009.

The consumption of Pyrazinamide in 2009
12
Calculation of consumption at Provincial level_1
  • The number of TB patients in 2009 and its
    breakdown by type provinces.

13
Calculation of consumption at Provincial level_2
  • The number of treatment days in 2009 and its
    breakdown by type provinces.

14
Calculation of consumption at Provincial level_3
  • The consumption of Isoniazid in 2009 at
    provinces and the amount needed with buffer stock
    for the next year quantification.

15
Calculation of consumption at Provincial level_5
  • The consumption of Rifampin in 2009 at provinces
    and the amount needed with buffer stock for the
    next year quantification.

16
Calculation of consumption at Provincial level_6
  • The consumption of Ethambutol in 2009 at
    provinces and the amount needed with buffer stock
    for the next year quantification.

17
Calculation of consumption at Provincial level_7
  • The consumption of Pyrazinamide in 2009 at
    provinces and the amount needed with buffer stock
    for the next year quantification.

18
Calculation of consumption at District level_1
  • The number of TB patients in 2009 at Alexandria
    and its breakdown by districts

The number of treatment days at Alexandria and
its breakdown by districts
19
Calculation of consumption at District level_2
  • The consumption of Isoniazid in 2009, and the
    amount needed with buffer stock for the next year
    quantification.

The consumption of Rifampin 2009, and the amount
with buffer stock for the next year management
planning.
20
Calculation of consumption at District level_3
  • The consumption of Ethambutol in 2009, and the
    amount needed with buffer stock for the next year
    quantification.

The consumption of Pyrazinamide 2009, and the
amount with buffer stock for the next year
management planning
21
Challenges facing nationwide expansion
  • Expansion to other non NTP providers i.e. HIO,
    prisons, universities and others.
  • Trained staff turn over which affect data quality
  • Internet access not available in all TBMUs
    covered.
  • Using national ID no. as a patient code to avoid
    duplication.

22
Thank you
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