Literature DB >> 26282103

Classification of patients with incident non-specific low back pain: implications for research.

Giulia Norton1, Christine M McDonough2, Howard J Cabral3, Michael Shwartz4, James F Burgess5.   

Abstract

BACKGROUND CONTEXT: Comparing research studies of low back pain is difficult because of heterogeneity. There is no consensus among researchers on inclusion criteria or the definition of an episode.
PURPOSE: This study aimed to determine pattern(s) of recurrent non-specific low back pain from data collected over 27 months. STUDY DESIGN/
SETTING: This study used retrospective cohort study using administrative claims from multiple payers. Although claims are designed for capturing costs, not clinical complexity, they are valid for describing utilization patterns, which are not affected by potential "upcoding." PATIENT SAMPLE: The patient sample consisted of population-based, nationally generalizable sample of 65,790 adults with continuous medical and pharmaceutical commercial health insurance who received health care for incident, non-specific low back pain. Potential subjects were excluded for plausible cause of the pain, severe mental illness, or cognitive impairment. OUTCOME MEASURES: Diagnostic and therapeutic health-care services, including medical, surgical, pharmaceutical, and complementary, received in inpatient, outpatient, and emergency settings were the outcome measures for this study.
METHODS: The methods used for this study were latent class analysis of health-care utilization over 27 months (9 quarters) following index diagnosis of non-specific low back pain occurring in January-March 2009 and an analysis sample with 60% of subjects (n=39,597) and validation sample of 40% (n=26,193).
RESULTS: Four distinct groups of patients were identified and validated. One group (53.4%) of patients recovered immediately. One third of patients (31.7%) may appear to recover over 6 months, but maintain a 37-48% likelihood of receiving care for low back pain in every subsequent quarter, implying frequent relapse. Two remaining groups of patients each maintain very high probabilities of receiving care in every quarter (65-78% and 84-90%), predominantly utilizing therapeutic services and pain medication, respectively. Probabilistic grouping relative to alternatives was very high (89.6-99.3%). Grouping was not related to demographic or clinical characteristics.
CONCLUSIONS: The four distinct sets of patient experiences have clear implications for research. Inclusion criteria should specify incident or recurrent cases. A 6-month clean period may not be sufficiently long to assess incidence. Reporting should specify the proportion recovering immediately to prevent mean recovery rates from masking between-group differences. Continuous measurement of pain or disability may be more reliable than measuring outcomes at distinct endpoints.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Claims analyses; Classification; Cohort studies; ICD-9 codes; Incident low back pain; Latent class analysis; Natural history; Non-specific low back pain; Recurrent low back pain

Mesh:

Year:  2015        PMID: 26282103      PMCID: PMC4987706          DOI: 10.1016/j.spinee.2015.08.015

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  42 in total

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Authors:  Danny R Hughes; Mythreyi Bhargavan; Jonathan H Sunshine
Journal:  Health Aff (Millwood)       Date:  2010-12       Impact factor: 6.301

2.  Shared decision-making and evidence-based practice.

Authors:  Jared R Adams; Robert E Drake
Journal:  Community Ment Health J       Date:  2006-02

3.  Low-back pain.

Authors:  Rachelle Buchbinder; Martin Underwood
Journal:  CMAJ       Date:  2013-03-05       Impact factor: 8.262

4.  The course of chronic and recurrent low back pain in the general population.

Authors:  Oezguer Tamcan; Anne F Mannion; Claudia Eisenring; Bruno Horisberger; Achim Elfering; Urs Müller
Journal:  Pain       Date:  2010-06-29       Impact factor: 6.961

5.  Economic evaluation of four treatments for low-back pain: results from a randomized controlled trial.

Authors:  Gerald F Kominski; Kevin C Heslin; Hal Morgenstern; Eric L Hurwitz; Philip I Harber
Journal:  Med Care       Date:  2005-05       Impact factor: 2.983

6.  Studying the natural history of back pain.

Authors:  M Von Korff
Journal:  Spine (Phila Pa 1976)       Date:  1994-09-15       Impact factor: 3.468

7.  Clustering patients on the basis of their individual course of low back pain over a six month period.

Authors:  Iben Axén; Lennart Bodin; Gunnar Bergström; Laszlo Halasz; Fredrik Lange; Peter W Lövgren; Annika Rosenbaum; Charlotte Leboeuf-Yde; Irene Jensen
Journal:  BMC Musculoskelet Disord       Date:  2011-05-17       Impact factor: 2.362

Review 8.  Cognitive and emotional control of pain and its disruption in chronic pain.

Authors:  M Catherine Bushnell; Marta Ceko; Lucie A Low
Journal:  Nat Rev Neurosci       Date:  2013-05-30       Impact factor: 34.870

9.  Characterizing the course of low back pain: a latent class analysis.

Authors:  Kate M Dunn; Kelvin Jordan; Peter R Croft
Journal:  Am J Epidemiol       Date:  2006-02-22       Impact factor: 4.897

10.  Predictive factors for successful clinical outcome 1 year after an intensive combined physical and psychological programme for chronic low back pain.

Authors:  Miranda L van Hooff; Maarten Spruit; John K O'Dowd; Wim van Lankveld; Jeremy C T Fairbank; Jacques van Limbeek
Journal:  Eur Spine J       Date:  2013-06-16       Impact factor: 3.134

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  5 in total

1.  Young adults with recurrent low back pain demonstrate altered trunk coordination during gait independent of pain status and attentional demands.

Authors:  Hai-Jung Steffi Shih; Carolee J Winstein; Kornelia Kulig
Journal:  Exp Brain Res       Date:  2021-04-19       Impact factor: 1.972

2.  Persons in remission from recurrent low back pain alter trunk coupling under dual-task interference during a dynamic balance task.

Authors:  K Michael Rowley; Carolee J Winstein; Kornelia Kulig
Journal:  Exp Brain Res       Date:  2020-03-17       Impact factor: 1.972

3.  Interplay among pain intensity, sleep disturbance and emotion in patients with non-specific low back pain.

Authors:  Shilabant Sen Sribastav; He Peiheng; Long Jun; Li Zemin; Wei Fuxin; Wang Jianru; Liu Hui; Wang Hua; Zheng Zhaomin
Journal:  PeerJ       Date:  2017-05-16       Impact factor: 2.984

4.  A successful, cost-effective low back pain triage system: a pilot study.

Authors:  Hamilton Hall; E Richard Prostko; Katie Haring; Michael Fischer; Boyle C Cheng
Journal:  N Am Spine Soc J       Date:  2021-02-01

Review 5.  Do people with low back pain walk differently? A systematic review and meta-analysis.

Authors:  Jo Armour Smith; Heidi Stabbert; Jennifer J Bagwell; Hsiang-Ling Teng; Vernie Wade; Szu-Ping Lee
Journal:  J Sport Health Sci       Date:  2022-02-10       Impact factor: 13.077

  5 in total

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