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Implementation and quality assessment of a clinical orthopaedic registry in a public hospital department.
BMC Health Serv Res. 2020 May 09; 20(1):393.BH

Abstract

BACKGROUND

The aim of this study was to demonstrate a novel method of assessing data quality for an orthopaedic registry and its effects on data quality metrics.

METHODS

A quality controlled clinical patient registry was implemented, comprising six observational cohorts of shoulder and knee pathologies. Data collection procedures were co-developed with clinicians and administrative staff in accordance with the relevant dataset and organised into the registry database software. Quality metrics included completeness, consistency and validity. Data were extracted at scheduled intervals (3 months) and quality metrics reported to stakeholders of the registry.

RESULTS

The first patient was enrolled in July 2017 and the data extracted for analysis over 4 quarters, with the last audit in August 2018 (N = 189). Auditing revealed registry completeness was 100% after registry deficiencies were addressed. However, cohort completeness was less accurate, ranging from 12 to 13% for height & weight to 90-100% for operative variables such as operating surgeon, consulting surgeon and hospital. Consistency and internal validation improved to 100% after issues in registry processes were rectified.

CONCLUSIONS

A novel method to assess data quality in a clinical orthopaedic registry identified process shortfalls and improved data quality over time. Real-time communication, a comprehensive data framework and an integrated feedback loop were necessary to ensure adequate quality assurance. This model can be replicated in other registries and serve as a useful quality control tool to improve registry quality and ensure applicability of the data to aid clinical decisions, especially in newly implemented registries.

TRIAL REGISTRATION

ACTRN12617001161314; registration date 8/08/2017. Retrospectively registered.

Authors+Show Affiliations

Orthopaedics Department, QEII Jubilee Hospital, Coopers Plains, Queensland, Australia.EBM Analytics, Crows Nest, NSW, 2065, Australia.EBM Analytics, Crows Nest, NSW, 2065, Australia.Orthopaedics Department, QEII Jubilee Hospital, Coopers Plains, Queensland, Australia.EBM Analytics, Crows Nest, NSW, 2065, Australia.EBM Analytics, Crows Nest, NSW, 2065, Australia.Orthopaedics Department, QEII Jubilee Hospital, Coopers Plains, Queensland, Australia. christopher.bell@health.qld.gov.au.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32386523

Citation

Lee, Binglong, et al. "Implementation and Quality Assessment of a Clinical Orthopaedic Registry in a Public Hospital Department." BMC Health Services Research, vol. 20, no. 1, 2020, p. 393.
Lee B, Ebrahimi M, Ektas N, et al. Implementation and quality assessment of a clinical orthopaedic registry in a public hospital department. BMC Health Serv Res. 2020;20(1):393.
Lee, B., Ebrahimi, M., Ektas, N., Ting, C. H., Cowley, M., Scholes, C., & Bell, C. (2020). Implementation and quality assessment of a clinical orthopaedic registry in a public hospital department. BMC Health Services Research, 20(1), 393. https://doi.org/10.1186/s12913-020-05203-8
Lee B, et al. Implementation and Quality Assessment of a Clinical Orthopaedic Registry in a Public Hospital Department. BMC Health Serv Res. 2020 May 9;20(1):393. PubMed PMID: 32386523.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Implementation and quality assessment of a clinical orthopaedic registry in a public hospital department. AU - Lee,Binglong, AU - Ebrahimi,Milad, AU - Ektas,Nalan, AU - Ting,Chee Han, AU - Cowley,MacDougal, AU - Scholes,Corey, AU - Bell,Christopher, Y1 - 2020/05/09/ PY - 2019/11/20/received PY - 2020/04/12/accepted PY - 2020/5/11/entrez PY - 2020/5/11/pubmed PY - 2020/5/11/medline KW - Compliance KW - Consistency KW - Data quality KW - Knee KW - Registry KW - Shoulder KW - Validity SP - 393 EP - 393 JF - BMC health services research JO - BMC Health Serv Res VL - 20 IS - 1 N2 - BACKGROUND: The aim of this study was to demonstrate a novel method of assessing data quality for an orthopaedic registry and its effects on data quality metrics. METHODS: A quality controlled clinical patient registry was implemented, comprising six observational cohorts of shoulder and knee pathologies. Data collection procedures were co-developed with clinicians and administrative staff in accordance with the relevant dataset and organised into the registry database software. Quality metrics included completeness, consistency and validity. Data were extracted at scheduled intervals (3 months) and quality metrics reported to stakeholders of the registry. RESULTS: The first patient was enrolled in July 2017 and the data extracted for analysis over 4 quarters, with the last audit in August 2018 (N = 189). Auditing revealed registry completeness was 100% after registry deficiencies were addressed. However, cohort completeness was less accurate, ranging from 12 to 13% for height & weight to 90-100% for operative variables such as operating surgeon, consulting surgeon and hospital. Consistency and internal validation improved to 100% after issues in registry processes were rectified. CONCLUSIONS: A novel method to assess data quality in a clinical orthopaedic registry identified process shortfalls and improved data quality over time. Real-time communication, a comprehensive data framework and an integrated feedback loop were necessary to ensure adequate quality assurance. This model can be replicated in other registries and serve as a useful quality control tool to improve registry quality and ensure applicability of the data to aid clinical decisions, especially in newly implemented registries. TRIAL REGISTRATION: ACTRN12617001161314; registration date 8/08/2017. Retrospectively registered. SN - 1472-6963 UR - https://www.unboundmedicine.com/medline/citation/32386523/Implementation_and_quality_assessment_of_a_clinical_orthopaedic_registry_in_a_public_hospital_department L2 - https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-020-05203-8 DB - PRIME DP - Unbound Medicine ER -
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