Name
Title | ||
|---|---|---|
Understanding Patterns Of Care For Musculoskeletal Patients Using Routinely Collected National Health Service Data From General Practices In England |
Abstract | ||
|---|---|---|
Musculoskeletal conditions are extremely common and represent a costly and growing problem in the United Kingdom. Understanding patterns of care and how they vary between individual patients and patient groups is necessary for effective and efficient disease management. In this article, we present a novel approach to understanding patterns of care for musculoskeletal patients in which trajectories are constructed from clinical and administrative data that are routinely collected by clinicians and healthcare professionals. Our approach is applied to routinely collected National Health Service data for musculoskeletal patients who were registered to a set of general practices in England and highlights both known and previously unreported variations in the prescribing of opioid analgesics by gender and presence of pre-existing depression. We conclude that the application of our approach to routinely collected National Health Service data can extend the dimensions over which patterns of care can be understood for musculoskeletal patients and for patients with other long-term conditions. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1177/1460458220907431 | HEALTH INFORMATICS JOURNAL |
Keywords | DocType | Volume |
electronic health records, general practice, musculoskeletal disease, patterns of care | Journal | 26 |
Issue | ISSN | Citations |
4 | 1460-4582 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chris Tyler-Smith | 1 | 5 | 1.54 |
| Jenny Hewison | 2 | 0 | 0.34 |
| Robert West | 3 | 0 | 0.68 |
| Sarah R Kingsbury | 4 | 0 | 0.34 |
| Philip G Conaghan | 5 | 0 | 0.34 |