7 th  EAHSC Electronic Tuberculosis Surveillance System reporting in Bumula sub-County, - PowerPoint Presentation

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7th  EAHSC

Electronic Tuberculosis Surveillance System reporting in Bumula sub-County, Bungoma County, Kenya

Author:

Mr. Magomere Robert

Bsc

Mr.

Murima

Ng’ang’a

Bsc

,

MSc

Introduction Objective

Materials &

Methods Results ConclusionRecommendation

Presentation outline

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Tuberculosis (TB) surveillance data are crucial to the effectiveness of TB Control Programs. World Health Organizing (WHO)

recommends establishing and maintaining well-developed monitoring and

evaluation. Electronic recording and reporting systems can strengthen data quality through: Automated validation checks,

Accelerate

the availability of data for managers and decision-makers,

Facilitate the analysis

Kenya underwent the transition from a paper-based recording and reporting system to an electronic system, called Treatment Information from Basic Unit, (TIBU).

TIBU is a national case-based surveillance system that stores details on individual patient episodes of TB reported to the national TB programThe system is able to capture patient-level data that includes demographic characteristics of the patients, type of TB, laboratory results and treatment outcome data.

Introduction

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Kenya is the first country in East Africa to implement a national case-based electronic surveillance system for TB.The

system has several

merits including: Ease in computing cohort analysisReduced

time of reporting, no loss of data documents

Minimizing errors in calculations.

Materials used in training healthcare workers and patients on care are incorporated in the system

 Patients failing to attend clinics are reminded through the system. In addition,

Patients who are supported by the programme to attend clinics receive funds directly through their phones (Mpesa system). The devices are also used to transmit scanned copies of documents and pictures.

There is need for an advanced information technology infrastructure There is also the need of good data quality

Introduction

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we conducted a review of data captured by TIBU by analyzing concordance between source documents at TB facilities and TIBUCompleteness of data from TB register to TIBU was measured

.

Objective 28-Feb-19

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All the 10 facilities in Bumula were visited

All cases recorded in TB facility registers in the year 2017 and 2018 were reviewed.

Data for these cases in TB facility registers and corresponding TB patient cards were assessed for concordance with data in TIBU. Calculation of concordance accounted for data recorded in one source and not recorded in another.Completeness for key data items were calculated using proportions.

Material and Methods

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A total 320 cases reviewed from TB facility registers.

Only

224 (70%) cases had a corresponding TB patient card, A total 316 (99%) were present in TIBU. Over 316 (99%) of cases had complete fields for treatment start date, age, sex, type of TB patient, site of disease, and initial sputum smear

result in TIBU.

However, a high percentage of cases had blank values for HIV test date

149(47%).The concordance between the registers and TIBU was better than that between TB patient cards and

TIBU

Results 28-Feb-19

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Use of the electronic system has drastically reduced dependency on several paper-based tools

Data

in TB facility registers had higher concordance with TIBU than TB treatment cards, This may be due to errors in transcription from treatment cards to the facility register that are corrected on entry into TIBU.

The system is fitted with an “intelligent” dashboard that assists the user in

analysing data.The national programme has been enabled to collect timely and accurate data

The system has been linked to the Laboratory Management Information System (LIMS) to create a seamless flow of data and link laboratory results to patient-level data.

The system has been linked to the Ministry of Health District Health Information System (DHIS2) so as to inform policy-makers through dashboards and summary reports on performance of the programme at any time.

Policy-makers are able to make informed decisions in the control of TB.

Conclusion

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Electronic recording and reporting systems can greatly improve the efficiency of data collection, aggregation, and analysis for TB programs.

Incompleteness and concordance of data may hinder informed decision-making. There is need of regular data quality check

.We recommend continuous training and support of TB personnel involved with TB care, management and surveillance on TB data recordingImplementation of a quality assurance mechanism to improve data quality.

Continuous training of TB surveillance staff on proper data collection and entry

Recommendation

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Asante

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