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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Ali, Syed Mustafa Anjum, Naveed Kamel Boulos, Maged N. Ishaq, Muhammad Aamir, Javariya Haider, Ghulam Rasool |
| Abstract | 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. |
| Related Links | https://bmcresnotes.biomedcentral.com/counter/pdf/10.1186/s13104-018-3161-8.pdf |
| Ending Page | 7 |
| Page Count | 7 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17560500 |
| DOI | 10.1186/s13104-018-3161-8 |
| Journal | BMC Research Notes |
| Issue Number | 1 |
| Volume Number | 11 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2018-01-16 |
| Access Restriction | Open |
| Subject Keyword | Biomedicine Medicine Public Health Life Sciences Data quality Data quality dimensions Data quality improvement strategy Informed decision-making Test-based approach Management perspective Tuberculosis control programme Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biochemistry, Genetics and Molecular Biology Medicine |
| Journal Impact Factor | 1.6/2023 |
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