Determinants for Improvement in Different Back Pain Measures and Their Influence on the Duration of Sickness Absence

Faber, Elske; Burdorf, Alex; Bierma-Zeinstra, Sita M A; Miedema, Harald S.; Koes, Bart W.

doi:10.1097/01.brs.0000219873.84232.26

Cited by 14 publications

(5 citation statements)

References 21 publications

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“…The study population of workers on sick leave for 2-6 weeks had pain intensity, functional limitations and general health comparable with that of workers on sick leave due to back pain between 7 and 12 weeks (10,(27)(28). Within this population 45% of the workers experienced a recurrence of musculoskeletal sick leave within the follow-up period, which was on average approximately 9 months.…”

Section: Resultsmentioning

confidence: 88%

Influence of modified work on recurrence of sick leave due to musculoskeletal complaints

Duijn¹,

Burdorf²

2008

J Rehabil Med

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Section: Resultsmentioning

confidence: 88%

Influence of modified work on recurrence of sick leave due to musculoskeletal complaints

Duijn¹,

Burdorf²

2008

J Rehabil Med

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“…One large US national study of employed people showed the overall productive time lost due to pain did not differ by gender, but women were more likely to lose work time due to headache and men due to back pain [44]. On the other hand, studies of long-term disability outcomes consistently indicate women with disabling musculoskeletal injuries recover less quickly [9,33,43] and return to work later than men [10]. However, women may be more likely to stay at work once they return [6].…”

Section: Discussionmentioning

confidence: 95%

Defining Gender Disparities in Pain Management

LeResche

2011

Clinical Orthopaedics &Amp; Related Research

153

111

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A MEDLINE search was conducted using the terms "pain" or "musculoskeletal pain" and "gender differences" or "sex differences" with "health care," "health services," and "physician, attitude." Articles judged relevant were selected for inclusion. WHERE ARE WE NOW?: Higher pain prevalence in women is consistently observed but not well understood. The relative contributions of sex differences in pain mechanisms and gender differences in psychosocial factors (eg, coping, social roles) to explaining differences in prevalence are not yet clear. Gender disparities in the amount of healthcare use for pain may be partially explained by the experience of higher-intensity pain in women. Pain intensity also seems to be a major factor influencing treatment, especially the prescription of medications for acute pain. However, clinicians' gender stereotypes, as well as the clinician's own gender, appear to influence diagnostic and treatment decisions for more persistent pain problems. WHERE DO WE NEED TO GO?: The ultimate goal is optimal pain control for each individual, with gender being one difference between individuals. HOW DO WE GET THERE?: Further research is needed to address all three major purposes, with particular attention to whether gender-specific pain treatment may sometimes be warranted.

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“…This may be explained by learned management as patients with previous LBP episodes would have a better idea of their condition progression and how to cope with their symptoms. [ 25 ] This experience may consequently influence their perception of pain intensity.…”

Section: Discussionmentioning

confidence: 99%

Predicting outcomes of acute low back pain patients in emergency department

et al. 2018

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Low back pain (LBP) is a common complaint among patients presenting to emergency department (ED) in Singapore. The STarT Back Screening Tool (SBT) was recently developed and validated for triage of LBP patients in primary care settings. This study aimed to investigate whether the SBT could provide prognostic information for long-term outcomes of acute LBP patients visiting the ED, who might benefit from appropriate and timely management at an earlier stage.Data were collected in a prospective observational cohort study from 177 patients who consulted emergency physicians for acute LBP and completed 6-month follow-up. Patients were administered the SBT and assessed at baseline. Follow-up assessments were conducted at 6 weeks and 6 months.A multiple linear regression model incorporating SBT total score, age, employment status, LBP history, and 6-week pain score was constructed to predict 6-month pain score. In the model, SBT total score and 6-week pain score were significantly associated with 6-month pain score (P < .05) with respective coefficients of 0.125 and 0.500. The model explained 40.1% of the variance for 6-month pain score.This study demonstrated that the multiple linear regression model showed predictive performance in determining long-term outcomes for acute LBP patients presenting to the ED.

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Determinants for Improvement in Different Back Pain Measures and Their Influence on the Duration of Sickness Absence

Cited by 14 publications

References 21 publications

Influence of modified work on recurrence of sick leave due to musculoskeletal complaints

Influence of modified work on recurrence of sick leave due to musculoskeletal complaints

Defining Gender Disparities in Pain Management

Predicting outcomes of acute low back pain patients in emergency department

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