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Updated: Feb 15, 2026

05:28
A Mouse Model of Lumbar Spine Instability
Published on: April 23, 2021
9.1K
Shaping conservative spinal services with the Spine Tango Registry.
1Spinal Outpatient's Department, Queen's Medical Centre, Nottingham University Hospitals, Nottingham, UK. samuel.morris@nuh.nhs.uk.
Summary
This study found that osteopathy in secondary care significantly improved patient outcomes for chronic spinal pain, with high satisfaction rates. Registry data collection supported clinical governance and demonstrated osteopaths
Area of Science:
- Osteopathic Medicine
- Spinal Health
- Clinical Registry Studies
Background:
- Secondary care spinal services often manage complex chronic pain.
- Osteopathy is increasingly utilized for conservative spinal management.
- Registry data collection is crucial for evaluating healthcare services.
Purpose of the Study:
- To report on a registry data collection project within a secondary care spinal osteopathy service.
- To evaluate clinical outcomes and patient satisfaction in this setting.
- To assess the utility of registry data for clinical governance.
Main Methods:
- Utilized the Spine Tango Conservative registry tool for data collection.
- Assessed outcomes using validated Patient-Reported Measures (PROMs) including NPRS, ODI, NDI, COMI, and EQ5D.
- Analyzed Global Treatment Outcome (GTO) and PROM changes using Spearman's rank correlation.
Main Results:
- 262 patients with chronic spinal pain were included; 98.8% had prior interventions.
- Significant improvements observed across all PROMs, including pain and disability indices.
- High patient satisfaction (96.2%) and positive self-reported treatment outcomes (83.2%) were reported with no serious complications.
Conclusions:
- The secondary care spinal osteopathy service demonstrated positive outcomes, high patient satisfaction, and minimal complications.
- Registry participation enhanced clinical governance and supports osteopaths in conservative spinal care.
- Efficient registry data collection is vital, requiring structured approaches to minimize patient and resource burden.
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