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dc.date.accessioned2022-11-28T08:30:24Z
dc.date.available2022-11-28T08:30:24Z
dc.date.issued2022
dc.identifier.isbn978-82-348-123-5
dc.identifier.urihttp://hdl.handle.net/10852/97819
dc.description.abstractNeck pain is very common and costly to both society and individuals. Knowing how neck pain progresses over time could improve our understanding as well as aid in pain management. Although prognosis is mostly favorable in the short term, studies on the clinical course of low back pain show that a large group of patients experience persistent and recurrent pain. However, there are few studies on neck pain. In this thesis, we investigated if neck pain patients could be grouped according to the same trajectory definitions identified for low back pain. For 1 year, 1476 patients with neck pain in chiropractic practice answered weekly SMS with questions regarding number of days with pain and pain intensity the past week. Based on the SMS responses, we applied the trajectory definitions and found that they fit readily to our cohort. Most patients were classified as either persistent fluctuating or episodic, which is similar to findings on low back pain. We also assessed to what extent patients shifted from one trajectory to another in quarterly periods and found that 70% of patients experienced a stable trajectory. Lastly, we explored if patients could identify retrospectively their own pain trajectory through a novel method using illustrations of common trajectories (visual trajectories). Overall, we found a general resemblance between the patients’ selected visual trajectory and their 1-year clinical course and trajectory definition (based on SMS data). However, there were large individual variations among patients within each visual trajectory. In particular, patients with mild pain and episodic pain were less able to identify a visual trajectory that most reflected their actual clinical course. Thus, these results may be influenced by recall bias. Our results challenge the concept of ‘chronic pain’ and provide insights into how individual patients report their clinical course of neck pain, both prospectively and retrospectively.en_US
dc.language.isoenen_US
dc.relation.haspartPaper I. Irgens P, Kongsted A, Myhrvold K, Waagan K, Engebretsen KB, Natvig B, Vøllestad NK & Robinson HS. Neck pain patterns and subgrouping based on weekly SMS-derived trajectories. BMC Musculoskeletal Disorders 2020 Vol. 21(1). doi: 10.1186/s12891-020-03660-0. The article is included in the thesis. Also available at: https://doi.org/10.1186/s12891-020-03660-0
dc.relation.haspartPaper II. Irgens P, Myhrvold K, Kongsted A, Waagan K, Engebretsen KB, Vøllestad NK & Robinson HS. The clinical course of neck pain: Are trajectory patterns stable over a 1-year period? - European Journal of Pain 2022 Feb;26(2):531-542. doi: 10.1002/ejp.1879. The article is included in the thesis. Also available at: https://doi.org/10.1002/ejp.1879
dc.relation.haspartPaper III. Irgens P, Myhrvold K, Kongsted A, Natvig B, Vøllestad NK & Robinson HS Exploring visual pain trajectories in neck pain patients, using clinical course, SMS-based patterns and patient characteristics. Chiropractic and Manual Therapies 2022 (Sep 08), 30(1):37. doi: 10.1186/s12998-022-00443-3. The article is included in the thesis. Also available at: https://doi.org/10.1186/s12998-022-00443-3
dc.relation.urihttps://doi.org/10.1186/s12891-020-03660-0
dc.relation.urihttps://doi.org/10.1002/ejp.1879
dc.relation.urihttps://doi.org/10.1186/s12998-022-00443-3
dc.titleNeck pain – clinical course and pain trajectoriesen_US
dc.typeDoctoral thesisen_US
dc.creator.authorIrgens, Pernille Marie Stähr
dc.type.documentDoktoravhandlingen_US


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