Measuring management’s perspective of data quality in Pakistan’s Tuberculosis control programme: a test-based approach to identify data quality dimensions

Autor: Maged N. Kamel Boulos, Muhammad Ishaq, Syed Mustafa Ali, Ghulam Rasool Haider, Javariya Aamir, Naveed Anjum
Rok vydání: 2018
Předmět:
Quality Control
Test-based approach
Process management
Computer science
lcsh:Medicine
02 engineering and technology
Management perspective
General Biochemistry
Genetics and Molecular Biology
03 medical and health sciences
0302 clinical medicine
020204 information systems
0202 electrical engineering
electronic engineering
information engineering
Humans
Tuberculosis
Pakistan
Data quality improvement strategy
030212 general & internal medicine
lcsh:Science (General)
lcsh:QH301-705.5
Tb control
Data quality dimensions
Informed decision-making
lcsh:R
Data quality
Vagueness
General Medicine
Quality Improvement
Data Accuracy
lcsh:Biology (General)
Public Health
Tuberculosis control
Tuberculosis control programme
Delivery of Health Care
Reporting system
Research Article
Program Evaluation
lcsh:Q1-390
Zdroj: BMC Research Notes, Vol 11, Iss 1, Pp 1-7 (2018)
BMC Research Notes
Ali, S M 2018, ' Measuring management’s perspective of data quality in Pakistan’s tuberculosis control programme – a test-based approach to identify data quality dimensions. ', BMC Research Notes, vol. 11 . https://doi.org/10.1186/s13104-018-3161-8
ISSN: 1756-0500
DOI: 10.1186/s13104-018-3161-8
Popis: Background Data quality is core theme of programme’s performance assessment and many organizations do not have any data quality improvement strategy, wherein data quality dimensions and data quality assessment framework are important constituents. As there is limited published research about the data quality specifics that are relevant to the context of Pakistan’s Tuberculosis control programme, this study aims at identifying the applicable data quality dimensions by using the ‘fitness-for-purpose’ perspective. Results Forty-two respondents pooled a total of 473 years of professional experience, out of which 223 years (47%) were in TB control related programmes. Based on the responses against 11 practical cases, adopted from the routine recording and reporting system of Pakistan’s TB control programme (real identities of patient were masked), completeness, accuracy, consistency, vagueness, uniqueness and timeliness are the applicable data quality dimensions relevant to the programme’s context, i.e. work settings and field of practice. Conclusion Based on a ‘fitness-for-purpose’ approach to data quality, this study used a test-based approach to measure management’s perspective and identified data quality dimensions pertinent to the programme and country specific requirements. Implementation of a data quality improvement strategy and achieving enhanced data quality would greatly help organizations in promoting data use for informed decision making. Electronic supplementary material The online version of this article (10.1186/s13104-018-3161-8) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE
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