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Spine Tango registry data collection in a conservative spinal service: a feasibility study
Samuel Morris1, James Booth2, James Hegarty2
1Queen's Medical Centre, Nottingham University Hospitals, Nottingham, UK. samuel.morris@nuh.nhs.uk.
Summary
Routine registry data collection in spinal osteopathy is feasible, achieving high data capture rates with the Spine Tango Conservative tool and patient-reported outcome measures. However, increased data collection burden led to higher data loss.
Area of Science:
- Spinal osteopathy research
- Clinical data management
Background:
- Implementing routine registry data collection in secondary care spinal services presents challenges.
- Sustaining high data capture rates is crucial for research validity and clinical audit.
Purpose of the Study:
- To assess the feasibility of routine registry data collection using the Spine Tango Conservative (STC) tool.
- To evaluate the sustainability of high data capture rates with multiple patient-reported outcome measures (PROMs) in spinal osteopathy.
- To identify factors influencing data completion rates.
Main Methods:
- A prospective data collection project from October 2011 to June 2015.
- Utilized the Spine Tango Conservative (STC) registry tool and multiple PROMs (ODI, NDI, COMI, EQ-5D-3L).
- Analyzed data completion rates using descriptive statistics, examining variations by patient demographics and data collection burden.
Main Results:
- Overall data collection rates increased significantly from 54.8% to 90.4% between 2012 and 2015.
- A higher number of PROMs (4-5) per patient was associated with lower data completion rates (15.4%) compared to fewer PROMs (2-3) (37.4%).
- No other clear patterns were observed across age groups, sex, or spinal complaint region.
Conclusions:
- High data capture rates are achievable in clinical settings with the STC tool and multiple PROMs.
- Increased data collection burden on patients and practitioners negatively impacts data completeness.
- Strategies to mitigate data loss and enhance efficiency are necessary for future data collection projects.
