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Journal of Orthopaedics and Physiotherapy

ISSN: 2639-930X

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Research Article
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Psychosocial Flag Signs in Patients with Compensable Occupational Lumbar Spine Injuries

Received Date: December 02, 2017 Accepted Date: September 18, 2018 Published Date: September 20, 2018

Copyright: © 2017 Razmjou H. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Purpose: The purposes of this study were to examine the prevalence of psychological flag signs (yellow, black and blue) in workers who had sustained a low back injury and to examine the relationship between the presence and number of these signs and the level of pain, disability, anxiety, depression and ability to work.

Methods: This study involved a review of the electronic files of injured workers with an active work-related claim related to the lumbar spine. The information on demographics, presence and number of psychosocial and workplace risk factors, level of disability as measured by the Roland Morris Disability Questionnaire (RMDQ), pain intensity as measured by the numeric pain rating scale (NPRS), and anxiety and depression as measured by the Hospital Anxiety and Depression Scale (HADS) was extracted from standardized forms.

Results: Data of 250 consecutive patients, 74 (30%) females, 176 (70%) males, mean age=45(11) were reviewed. Flag signs had a prevalence of 173 (69%), 162 (65%) and 46(18%) for yellow, black and blue categories respectively. Thirty nine (16%) patients had no flag signs (Group1). Of the remaining patients, 109 (43%) had one or two flag signs (Group2) and 102 (41%) had three or more flag signs (Group3). There was a statistically significant relationship between presence and number of flag signs and chronicity (p=0.04), pain location (leg vs. low back, p=0.05) and scores of NPRS (p=0.001), RMDQ, HADS and work status (P<0.0001).

Conclusions: Psychosocial and workplace risk factors are prevalent following a work-related low back injury. An increased number of flag signs is associated with an increased report of disability, pain, anxiety, depression and a less favorable work status.

Keywords: Flag signs; Risk factors; Workers Compensation; Lumbar spine

Introduction

Factors such as attitudes, negative beliefs, depressive mood state, anxiety disorder and certain social factors can interact with pain behaviour and are cumulatively referred to as psychosocial factors [1]. The value of psychosocial flags in predicting prolonged disability has been recognized for two decades [2-7]. The other significant factor that has established a link with prolonged disability is the work situation [3,4,8]. Job dissatisfaction and low control to make decisions about work have an adverse effect on health, significant enough to lead to hospitalization [8].

To match the color-coded theme with red flag signs that refer to serious physical pathology, psychological and work-related flag signs have also been given a specific color-coded reference. Yellow flags reflect psychosocial factors such as fears of pain or injury, preference for passive treatment, having negative pain beliefs and distressed affect [5]. Black flags refer to the nature of the work, insurance and compensation system under which workplace injuries are managed. Blue flags represent the workplace environmental risk factors such as a stressful, unsupportive and excessively demanding environment [4]. While black flags are caused by the actual workplace conditions, blue flags are the individual perceptions about work.

Occupational low back pain is associated with prolonged sick leave, loss of work continuity and productivity and over-utilization of the health care system [9-12]. There is evidence that psychosocial yellow flag signs [2-7] and workplace blue and black flag signs [3,4] play important roles in persisting symptoms and disability. However, there is little information on the prevalence and significance of the specific flag signs in injured workers and there remains a gap in our understanding of how the psychosocial and workplace issues are linked together. Further examination of these factors is therefore warranted. The objectives of this study were to examine the prevalence of the yellow, blue and black flags in workers who had sustained an occupational lumbar injury and to explore the relationship between the presence and number of these signs with the level of pain, disability, anxiety, depression and ability to work.

Materials and Methods

This study involved a review of the electronic files of injured workers with an active claim related to the lumbar spine. All patients were seen at a specialty spine clinic funded by the Ontario Workplace Safety and Insurance Board (WSIB). All workers were examined by an orthopedic surgeon with fellowship training in spinal surgery and a specialized physical therapist. The recommendations for further investigations and treatment including appropriate accommodations for return to work were made by the assessing team. The referrals to the clinic were made by nurse consultants or case managers employed by the WSIB.

Data collection

The data related to demographics, work status, history of injury, clinical examination, presence and number of flag signs and surgical candidacy were extracted from a standardized PDF form completed by the clinicians.

The questions relevant to flag signs covered a variety of areas known to be related to barriers to recovery such as suboptimal coping, preference for passive treatment and family and workplace issues. Flag signs were marked as positive when the presence of a certain trait was established or when the patient answered positively to a question. If the worker's concern was not included in the assessment form, the physical therapist who interviewed the worker chose the category of "other". The yellow and black flag signs addressed nine questions each and the blue flags addressed three questions (Appendix A). The prevalence of flag signs within each color-coded category was calculated as the presence of at least one positive response. To examine the accumulative impact of all flag signs, patients were categorized into three groups: patients with no flag signs (Group1), <3 flag signs (Group2), and ≥3 flag signs (Group3) [13]. The approval for using the existing data was obtained from the Research Ethics Board of the local institute.

Outcome measures

All patients completed a disability outcome measure, the Roland Morris Disability Questionnaire (RMDQ) [14], a Numeric Pain Rating Scale (NPRS) and the Hospital Anxiety and Depression Scale (HADS) [15] while waiting to be seen by the clinicians. The RMDQ is a validated [14,16-18] self-rated questionnaire that has 24 statements concerning the perceptions of back pain and associated disability (0-24). The items include 15 statements on physical ability and activity, three related to sleep and rest, two on psychosocial factors, two on household management, one related to eating and one regarding pain frequency. The NPRS ranges from 0 to 10 with 0 being no pain and 10 being the worst pain. The NPRS has established validity for clinical use [19,20]. The HADS is a 14 item scale [15] with seven items relating to anxiety and seven items relating to depression ranging from 0 to 21 for anxiety and 0 to 21 for depression. The HADS scores of <7 are considered within the normal range for either subcategory, while scores between 8 and 10 indicate presence of the respective state. Scores of 11 or higher indicate probable presence of a mood disorder [15]. The HADS has acceptable measurement properties for patients with musculoskeletal conditions [21].

Statistical analysis

The sample size was calculated based on the expected prevalence of flag signs, using the formula:

where Z for a level of confidence of 95% CI is 1.96, P is the expected prevalence, and d is precision[22]. Grimmer-Somers has noted a prevalence of 13% for yellow flags in patients with low back pain [7]. With the Z statistic of 1.96, P of 0.13, and d of 5% (width of CI = 2d), a minimum of 174 injured workers was required.

Descriptive statistics were performed and an estimate of prevalence of each flag category was calculated as the number of patients with at least one positive flag sign/total number of workers. As noted, patients were categorized into three groups: no flag signs (Group1), <3 flag signs (Group2), and ≥3 flag signs (Group3). Logistic regressions examined the association between the group variables and patient characteristics. Statistical analysis was performed using SAS® version 9.1.3 (SAS® Institute, Cary, NC). Statistical results are reported using 2-tailed p values with significance set at p < 0.05.

Results

The data of 250 consecutive patients, 74 (30%) females, 176 (70%) males, (mean age=45, SD=11, range 23 to 73 years) were reviewed. The average time between the most recent injury and date of assessment was 8 (SD=13) months. The majority of patients (209, 84%) had a diagnosis of lumbar strain with 19 (8%) disc herniation and 22 (9%) fractures. Two hundred and seventeen (87%) patients had a back dominant pain and 33(13%) had a leg dominant pain.

Prevalence of yellow flag signs was 69% (173/250). The black flag signs which represented the actual work-place difficulties had a prevalence of 65% (162/250). The blue signs were the least prevalent being 18% (46/250). A shorter list of blue flag questions is expected to have contributed to a lower prevalence of blue flags. Figure 1, 2, 3 show the relative frequency of positive responses to each question representing yellow, black and blue flag sign categories.

Thirty-nine (16%) patients had no flag signs (Group1). Out of remaining patients, 109 (43%) had one or two flag signs (Group2) and 102 (41%) had three or more flag signs (Group3). Table 1 shows the distribution of group characteristics. Age, sex, mechanism of injury (traumatic vs. insidious), employment duration, job demands or type of diagnosis were not associated with the number of signs at a statistically significant level (p>0.05).

Group 3 suffered from more chronic symptoms (p=0.04). Leg dominant pain was more prevalent in Group 1(p=0.05). There was a statistically significant difference (p<0.0001) in work status among groups with the Group1 having the most favorable status (Table 1). In addition, there was a statistically significant relationship between the presence and number of flag signs (as indicated in group assignment) and the scores of RMDQ, NPRS and HADS with the higher levels of disability, pain, anxiety and depression reported by patients with higher number of flag signs (Table 1, Figure 4). In terms of specific HADS subcategories, Group 1 included the majority of workers with normal anxiety (59%) and normal depression HADS scores (79%). Group 3 included most of the patients with high scores of anxiety (63%) and depression (65%) reflecting a significant affect/mood in patients with 3 or more flag signs.

Discussion

In the present study, the prevalence of yellow, black and blue flag signs was 69%, 65% and 18% respectively. We observed a positive linear relationship between cumulative number of flag signs and a higher report of disability, pain, depression, anxiety and work status.

There is a large body of literature on generic risk factors for prolonged lower back disability. However, due to the wide variation in methodology, outcome measures and populations used in the original studies and potential mediators and confounding factors, the results of systematic reviews remain somewhat inconclusive. Verkerk et al. [23] reported conflicting evidence for the association between a favorable outcome and age, sex, pain intensity and physical job demands. Kent and Keating [24] concluded that there was little certainty regarding the most important prognostic factors. Hayden et al. [25] acknowledged the significance of methodological shortcomings in the primary and review literature and the uncertainty about the reliability of conclusions regarding prognostic factors for low back pain.

Despite difficulty in identifying generic risk factors (sex, age, etc.) that contribute to a poor recovery of back pain, the role of psychosocial factors in predicting chronic low back pain is well established [26-35]. In addition, the impact of workplace factors on disability has been well documented [3,6,36-39].

In the only study that has specifically examined the prevalence of yellow flags as defined by Kendall et al. [5], Grimmer-Sommers and colleagues [7] administrated a psychosocial screening instrument referred to as the Yellow Flags Screening Instrument (YFSI), an earlier version of Örebro Musculoskeletal Pain Questionnaire [40]. In this study, of 328 claimants who provided yellow flag scores on the second visit to a general medical practitioner, 67(20%) had scores less than 49 (deemed to be low risk of developing chronic LBP), 242 (73%) had a score of <90, expected to exhibit recovery within the expected time period, and 13% had a high score for development of chronic pain behaviour. Considering 73% had no or minimal risk of developing persistent pain behaviors, the authors felt that use of YSFI should be revisited by the family physicians as most patients did not comply with the score categories originally recommended.

The lower prevalence of yellow flag signs reported by Grimmer-Somers et al. [7] is related to a different outcome measure used in their study, a subjective questionnaire vs. the clinician’s interview used in this study and difference in patients’ demographics such as younger age (39 vs. 45 years) and shorter symptom duration (12 to 71 days vs. 6 to 9 months). In addition, the type of injury in their study involved road accidents and work or community injuries, where our sample included more homogenous occupational injuries. Finally, types of clinics were different between studies being general medical clinics in the Grimmer-Somers's study vs. a tertiary care clinic in our study. Tertiary specialized care centres usually accommodate patients with more serious conditions and those with failed conservative treatment who may be more susceptible to chronic pain behaviour.

Implications for management

It has been noted that certain aspects of yellow flags such as negative beliefs or perceptions are amenable to change [2] and should be the target of management of low back pain. In a study by Shaw et al. 23 potentially modifiable risk factors describing workplace and personal domains were identified through a literature review [41]. The workplace interventions, graded activity exposure, cognitive restructuring of pain beliefs, return to work coordination, improving emotional distress and job dissatisfaction were all noted as modifiable factors by Shaw et al. [41].

The majority of our patients had a diagnosis of lumbar strain with a good prognosis for full recovery. The clinicians who are involved in the assessment or care of injured workers with the diagnosis of lumbar strain or uncomplicated mechanical low back pain have an important role in the management of these individuals. Evidence of flag signs should prompt the clinician to potential vulnerability of the patient to an increased perception of pain, physical dysfunction and the emotional distress. The impact of the risk factors can be reduced by explaining the benefits of active treatment, providing input on the benign nature of the pathology, by changing perceptions about pain and highlighting the difference between hurt versus harm. The appropriate involvement of the family members is a key to recovery of injured workers which can be achieved by discouraging the overprotective behaviour of the family while maintaining a healthy interest and support. The importance of communication between the clinicians and stakeholders and ongoing support by supervisors at the workplace should not be ignored [2,33,42].

In summary, in light of the costly nature of low back pain [9-12,43], the poor correlation between ongoing symptoms and anatomic, clinical and imaging findings and a strong link with personal, psychological and workplace factors, screening psychological risk factors either in the form of an interview or a questionnaire is expected to assist with a more effective and specific intervention. This could lead to the modification of unhealthy behaviors and incorporating workplace interventions in a timely fashion which may reduce the chance of chronic or permanent disability.

Conclusions

Psychosocial and workplace risk factors are prevalent following a work-related low back injury. An increased number of flag signs is associated with an increased report of disability, pain, anxiety, depression and a less favorable work status.

4 Main C, Burton A (2000) Economic and occupational influences on pain and disability. In: Main CJ, Spanswick CC, eds. Pain Management: An Interdisciplinary Approach. In Edited by Anonymous Churchill Livingstone: Churchill Livingstone 63-87.
5 Kendall N, Linton S, Main C (1997) Guide to Assessing Psychosocial Yellow Flags in Acute Low Back Pain: Risk Factors for Long-Term Disability and Work Loss. Wellington, New Zealand: Accident Rehabilitation and Compensation Insurance Corporation of New Zealand and the National Health Committee.
12 Gandjour A, Telzerow A, Lauterbach KW, INTERCARE International Investigators (2005) European comparison of costs and quality in the treatment of acute back pain. Spine (Phila Pa 1976) 30: 969-75.
19 Ferreira-Valente MA, Pais-Ribeiro JL, Jensen MP (2011) Validity of four pain intensity rating scales. Pain 152: 2399-404.
32Bletzer J, Gantz S, Voigt T, Neubauer E, Schiltenwolf M (2016) Chronic low back pain and psychological comorbidity: A review. Schmerz 31: 93-101.
42 Franche RL, Cullen K, Clarke J, Irvin E, Sinclair S, Institute for Work & Health (IWH) Workplace-Based RTW Intervention Literature Review Research Team (2005) Workplace-based return-to-work interventions: a systematic review of the quantitative literature. J Occup Rehabil 15: 607-31.

JOURNAL OF PHARMACEUTICS & DRUG DEVELOPMENT

Tables at a glance
Table 1
Figures at a glance
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Figure 1
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Figure 2
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Figure 3
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Figure 4
Some question responses overlapped
Figure 1: Frequency of yellow flag question responses (N= 173)
Some question responses overlapped
Figure 2:Frequency of black flag question responses (N=162)
Some question responses overlapped
Figure 3: Frequency of Blue Flag question responses (N=46)
Group 1: No Flag signs (N=39)
Group 2: Less than three Flag sign (N=108)
Group 3: Three or more Flag signs (N=103)
NPRS: Numeric pain rating score
RMDQ: Roland Morris Disability Questionnaire
Figure 4: Scores of the self-report outcomes by Group

Variables
Mean (SD)
Number (%)
Group1
(N=39)
Group2
(N=109)
Group3
(N=102)
Wald Chi square
P values
Odds Ratios*
Age 44 (13) 45 (10) 45 (10) W=0.89, p=0.77 _______

Sex

Female

Male

 

13 (33%)

26 (67%)

 

26 (24%)

83 (76%)

 

35 (34%)

67 (66%)

 

W=0.74, p=0.39

______

Symptom duration (months)

5.8(6) 6.1(8) 9.3(16) W=4.19, p=0.04 OR=0.98 (0.96-0.99)
Employment duration (months) 97(89) 104(109) 76(85) W=2.47, p=0.12 _______
Job Demands
Light/sedentary
Moderate
Heavy

 

6 (15%)
22 (56%)
11 (28%)

 

10 (9%)
59 (55%)
39 (36%)

 

6 (6%)
62 (61%)
34 (33%)

 

W=3.05, p=0.22

 

________

Traumatic injury 28 (72%) 91(83%) 84 (82%) W=1.01, p=0.31 _______
Pain site
Back dominant
Leg dominant
30 (79%)
8 (21%)
94 (86%)
15 (14%)
93 (91%)
9 (9%)
W=3.06, p=0.05 OR=0.50 (0.25-1.01)
Type of diagnosis
Lumbar strain
Fracture
Disc herniation

36 (92%)
2 (5%)
1 (3%)

86 (79%)
13 (12%)
10 (9%)
87 (85%)
7 (7%)
8 (8%)
W=0.39, p=0.82 _________
Subjective outcomes
NPRS (0-10)
RMDQ(0-24)
HADS Anxiety (0-21)
HADS Depression(0-21)
3.6 (3)
10 (6)
6 (4)
5 (4)
3.8 (3)
13 (7)
8 (5)
7 (5)
5.2 (3)
17(7)
12(5)
11(5)
W=11.10, p=0.001
W=30.10, p<0.0001
W=32.81, p<0.0001
W=46.21, P<0.0001
OR=0.87 (0.81-0.95)
OR =0.90 (0.87-0.94)
OR =0.86 (0.83-0.91)
OR =0.84 (0.80-0.88)
Anxiety
Normal (≤7)
Borderline abnormal (7-10)
Abnormal (>11)
Depression
Normal (≤7).
Borderline abnormal (7-10)
Abnormal (>11)
23 (59%)
9 (23%)
7 (18%)
31 (79%)
2 (5%)
6 (15%)
53 (47%)
17 (16%)
39 (36%)
60 (55%)
22 (20%)
27 (25%)
21 (21%)
18 (17%)
63 (63%)
24 (24%)
16 (16%)
62 (65%)

W=29.71,p<0.0001

W=44.93, p<0.0001

OR=4.61 (2.66-8.33)
OR=2.54 (1.28-5.03)

OR=7.21 (4.03-12.89)
OR=2.37 (1.14-4.91)

Work status
Not-working
Working part time
Working full time
9 (23%)
9 (23%)
21(54%)
45 (42%)
22 (20%)
42 (39%)
73 (71%)
10 (10%)
19 (19%)
31.96, p<0.0001 OR=4.49 (2.57-7.87)
OR=3.92 (1.97-7.84)

Group 1: No flag signs
Group 2: Less than three flag signs
Group 3: Three or more flag signs
HADS: Hospital Anxiety and Depression Scale
NPRS: Numeric pain rating score
OR: Odds ratios (provided for significant Wald statistics)
RMDQ: Roland Morris Disability Questionnaire
SD: Standard deviation
ORs for work status are provided for full time vs. not working, and part time vs. not working.
ORs for anxiety and depression are provided for normal vs. abnormal and borderline abnormal vs. abnormal.

Table 1: Characteristics of patients with and without flag signs (N=250)