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ZAMSTAR. Data Management ZAMSTAR: from preparation to using it …. Year 3: Kathy, Nkatya, Ab. Recap: Intervention Data. Virtual Private Network. Source documents at the clinic : TB-register Lab-register VCT-register HH register, HH enrolment logs ECF log sheets TST follow up.

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Zamstar

ZAMSTAR

Data Management ZAMSTAR: from preparation to using it …

Year 3: Kathy, Nkatya, Ab


Recap intervention data

Recap: Intervention Data

Virtual Private Network

  • Source documents at the clinic :

  • TB-register

  • Lab-register

  • VCT-register

  • HH register, HH enrolment logs

  • ECF log sheets

  • TST follow up

Central Database

Data entry remote


Recap intervention data1

Recap: Intervention data

  • Characteristics

    • VPN

    • Central SQL Server database

    • Web-based application: ASP.NET

    • Single data entry

    • Quality control: manual checking DB versus source documents by ‘third’ person


Progress intervention data

Progress: Intervention data

  • Progress Z+SA:

    • TB register data 2005-june 2007: 34,000 records of TB-patients

    • Lab-register june 2006-june 2007: 55,000 sputum lab results

    • ECF-data: name, age , sex sputum results of 4,300 participants

    • HH-register: data entry about to start

    • Report functionality: Team leaders can generate overview of ‘their’ entered data


Progress challenges

Progress: Challenges

  • Quality of record keeping

    • Filling in records is difficult: re-training and continuous collaboration between data team – intervention team

    • Interpretation of NHLS result recording vs Z-TB register results

  • Permanent hardware problems remote sites


Socs characteristics

SOCS: characteristics

Secondary Outcome Cohort:

  • 150 HH, 350 adults (200 contacts), 150 children per community

  • Cumulative HIV incidence, TB incidence, TB infection incidence in children < 5

  • 3 visits: 0, 18 and 36 months

    Data capturing:

  • Data handling centralized: paper forms prepared, blood samples and forms reception

  • SQL Server Database, VB.NET

  • Dual data entry


Socs progress

SOCS: Progress


Socs challenges

SOCS: Challenges

  • Enrolment targets

  • Number of contacts versus index cases

  • Quantiferon introduction

    • Monthly meetings HO with remote data entry staff


Training done

Training done

  • SQL Server, .NET for 2 staff members Zambia, 3 Staff SA

  • Relational Database Design – Z


Training planned

Training planned

  • MS-Access hands-on for data staff (5 days)

  • Structured query language for data staff (2 days)

  • Biostats – Stata for Intervention Team Leaders and scientific staff Zambart, UNZA students (5 days)

  • SQL Server and .NET for 2 data staff (outsourced)

  • Web design (2-3 staff members)


What do we need to do

What do we need (to do) …

  • Staff incentives …

  • More office space

  • GIS:

    • Map all communities (main features and administrative area’s)

    • Use satellite images as background

    • Map collected research data

    • Bill’s visit in november 2007: protocol preparing

    • GIS specialist


Tb prevalence

TB prevalence

  • 4 communities

  • Enumeration area’s sampled in random order to reach 5000 samples:

    • One community: all ea sampled

    • 3 communities app. 50% of the area’s

  • All households visited

  • Sputum samples collected + questionnaire

  • TB-Cases: still pending due to identification of positive cultures


Analysis

Analysis

  • Risk factor analysis

    • Multivariate analysis using socio-demographic (age, sex), HIV-status, symptoms, previous TB

    • Controlling for clustering/sampling:

      • Logistic regression cluster option

      • GEE

      • Svy command

    • Risk factors are comparable, p values/standard error/CI’s vary

  • Spatial analysis


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