Abstract
Background and aims
A bio-psycho-social approach has been recommended in multidisciplinary pain clinics, and in Norway patients with severe chronic nonmalignant pain (CNMP, defined as pain that has persisted for more than 3 months) might be treated at a regional multidisciplinary pain center. The specific aims of this study were (1) to describe characteristics of a sample of outpatients referred and accepted for treatment/management to three regional multidisciplinary pain centers in Norway, (2) to examine patient differences between the centers and (3) to study associations between symptom scores (insomnia, fatigue, depression, anxiety) and patient characteristics.
Methods
Patients, aged 17 years or older with CNMP admitted to and given a date for first consultation at one of three tertiary, multidisciplinary pain centers: St. Olavs Hospital Trondheim University Hospital (STO), Haukeland University Hospital (HUS) and University Hospital of North Norway (UNN), were included in the study. Data on demographics, physical activity, characteristics of pain, previous traumatic events, social network, Insomnia Severity Index (ISI), Chalder Fatigue Questionnaire (CFQ), Hopkins Symptom Checklist-25 (HSCL-25) and SF-36v2® were retrieved from the local quality registry at each pain center.
Results
Data from 1563 patients [mean age 42 (SD 15) years and 63% females] were available for analyses. Average years with pain were 9.3 (SD 9.1). Primary education as highest level of education was reported by 20%, being actively working/student/military by 32%, and no physical activity by 31%. Further, 48% reported widespread pain, 61% reported being exposed to serious life event(s), and 77% reported having a close friend to talk to. Non-worker status, no physical activity, lack of social network, reports of being exposed to serious life event(s) and widespread pain were all characteristics repeatedly associated with clinically high symptom scores. No significant differences between the centers were found in the proportions of patients reporting fatigue nor mean levels of insomnia symptoms. However, the proportion of patients reporting symptoms of anxiety and depression was a little lower at UNN compared with STO and HUS.
Conclusions
Analyses of registry data from three tertiary multidisciplinary pain centers in Norway support previous findings from other registry studies regarding patient characterized: A large proportion being women, many years of pain, low employment rate, low physical activity rate, and a large proportion reporting previous traumatic event(s). Characteristics such as non-work participation, no physical activity, lack of social network, have been exposed to serious life event(s), and chronic widespread pain were all associated with high clinical score levels of insomnia, fatigue, and mental distress. Health related quality of life was low compared to what has been reported for a general population and a range of other patient groups.
Implications
The findings of this study indicate that physical activity and work participation might be two important factors to address in the rehabilitation of patients with chronic non-malignant pain. Future studies should also explore whether pre consultation self-reported data might give direction to rehabilitation modalities.
1 Introduction
Chronic non-malignant pain (CNMP) is a complex and multifaceted health problem. The condition is associated with a variety of physical, psychological and social factors often resulting in a significant negative impact on the patient’s quality of life [1], [2], [3], [4], [5], [6], [7]. Due to this complexity, a bio-psycho-social approach has been recommended for multidisciplinary pain clinics treating patients with severe CNMP [3], [8], [9].
To plan individual patient pathways at the multidisciplinary pain clinics, it has been recommended to assess potential biological, psychological and social barriers to pain management with validated questionnaires [10]. Several studies have explored how self-reported, pre-consultation measures might identify patterns relevant for treatment [3], [4], [11], [12], [13], [14], [15], [16]. A Danish study, assessing patient reported data from 1176 patients, reported that lower age was associated with higher anxiety and depression scores [13] while full and part time employment was associated with lower levels of pain intensity, discomfort, anxiety and depression, and higher quality of life levels [13]. A US study showed that higher levels of anger and depression were associated with lower physical function as well as decreased social satisfaction [12] and revealed a strong association between low physical function and psychological well-being [4]. Characteristics, associated with symptoms, may thus be important information for the health professionals being involved when targeting a multi-facet treatment for the individual patient.
The overarching aim of this study was to examine data from of patients referred to three large multidisciplinary pain centers in Norway and to explore if there are differences between the patient samples. The hospitals in Norway are owned by the government, and the responsibility for provision of specialized services to the population are organized within four geographically defined health regions. The population sizes in 2017 was 2.9 million in the southern region, 1.1 million in the western region, 0.7 million in the central region to 0.5 million in the northern region. Within each region there is one university hospital with a tertiary, multidisciplinary pain center: Oslo University Hospital (OUS), Haukeland University Hospital (HUS), St. Olavs Hospital, Trondheim University Hospital (STO), and University Hospital North Norway (UNN). Annually, these centers receive between 4 and 5,000 referrals from general practitioners or hospital wards and treat around three thousand patients. The rejection rates at in 2017 were as follows: OUH: 28%, HUS: 31%, STO: 39% and UNN: 34%. During the last years STO, HUS and UNN have, as part of the assessment routine, asked the patients to answer the same set of questionnaires providing demographic information, assessment of symptoms and health related quality of life, before the first consultation. This tool is called the “Patient response package”.
The specific aims of this study were (1) to describe characteristics of a sample of outpatients referred and accepted for treatment/management to three of the regional multidisciplinary pain centers in Norway, (2) to examine patient differences between the centers and (3) to study associations between symptom scores (insomnia, fatigue, depression, anxiety) and patient characteristics as well as between health related quality of life (HRQoL) and patient characteristics.
2 Methods
2.1 Design and setting
This cross-sectional study included patients with CNMP aged 17 years or older, who were admitted to and given a date for first consultation at one of the three tertiary, multidisciplinary pain centers. The time period was between 01.01.2017 and 15.06.2018 for HUS and STO and 01.04.2017–15.06.2018 for UNN. Data was retrieved from the local quality registry at each pain center. These local web-based registries was established in 2017 and had a common design and the same set of variables. The first time point for data collection was 30 days prior to the first consultation at the pain center. By a web-link sent via SMS to the patient’s mobile phone, each patient got access to the patient response package to provide demographic and clinical information. At STO the response rate was 85%, at HUS 91% and at UNN it was 88%.
All patients who answered the Patient response package between 01.01.2017 and 15.06.2018, were included in the study. Ethical approval was obtained from the Regional committee for medical and health research Ethics (2018/634).
2.1.1 Data retrieved for this study
2.1.1.1 Patient characteristics
Demographic data: Age, gender, marital status (married, not married), level of education attained (four levels of education: primary education, high school or equivalent, higher education less than 4 years, and higher education 4 years or more were recoded into three levels: primary education, high school or equivalent, higher education), working status: (three levels of working status: actively working, not actively working (sick leave or out of work), student/military were recoded into two levels of working status: actively working/student/military vs. not working).
Other characteristics: Physical activity [17] (four levels of physical activity: no physical activity, low physical activity (light activity at least 4 h a week), moderate physical (moderate activity at least 4 h a week), high physical activity (hard physical activity at least 4 h a week) were merged into three levels: no physical activity, low physical activity (light activity at least 4 h a week) and moderate/high physical activity (moderate/hard physical activity at least 4 h a week), exposure to serious life event(s) (“have you been exposed to serious life event(s events in your life such as early death of family, accidents, life threats, relationship crises, abuse, violence, crises in work relations, etc.”. Answer: “yes”/“no”) and social network (“do you have enough close friends to talk to”. Answer: “yes”/”no”).
2.1.1.2 Symptoms
Characteristics of pain: Years of pain and pain discomfort. Pain discomfort were measured on an 11-point numeric rating scale (NRS) with 0 representing “no pain” and 10 “worst pain discomfort possible” [18]. Chronic widespread pain was defined according to the ACR 1990 criteria [19]; i.e. axial plus upper and lower segment plus left and right sided pain defined from the response to a 25-pain site body map.
Chalder Fatigue Scale (CFQ): The CFQ is a self-report questionnaire that comprises 11 items, each answered on four-point scales. To differentiate between fatigue cases and non-cases, the global binary fatigue scale ranging from 0 to 11 was used. A score of four or more is categorized as fatigue while a score above nine indicates severe fatigue [20], [21]. The CFQ scale has been shown good psychometric properties [21] and is validated for a general Norwegian population [22].
Insomnia Severity Index (ISI): The ISI is a 7-item self-report questionnaire assessing the nature, severity and impact of insomnia. A 5-point scale is used to rate each item, giving a total possible score between 0 and 28. Scores indicate as following: 0–7 no clinical significant insomnia, 8–14 subclinical insomnia, 15–21 moderate clinical insomnia, and 22–28 severe clinical insomnia. The questionnaire has shown good reliability and validity and is due to its sensitivity to change, recommended to be used as an outcome measure in clinical trials [23].
Hopkins Symptom Checklist-25(HSCL-25): HSCL-25 is a self-reported questionnaire and reflects symptoms of mental distress (anxiety and depression) [24], [25]. It includes 25-questions with response categories ranging from 1 (“not at all”) to 4 (“extremely”). A mean symptom score of 1.75 or more has been reported to be a good predictor of current help seeking. The questionnaire is validated for a Norwegian student population [26], [27].
2.1.1.3 Health related quality of life (SF-6D)
Patients answered the Short Form 36 questionnaire (SF-36v2®) which is a 36-item self-report questionnaire designed to measure functional health and wellbeing from the patient point of view. It is referred to as a generic health survey because it can be used across age (18 and older), diseases and treatment groups. From the SF-36 responses we calculated the SF-6D index as a single index measure of Health-Related Quality of Life. We refer to Brazier et al for a thorough description of the derived SF-6D methodology [28]. The SF-6D index falls on the conventional scale for health state preference values where worst (dead) is 0.0 and best (healthy) is 1.0. We used 0.03 as minimally important difference [29].
2.2 Statistical analyses
Analyses did intend to only describe differences in potentially important pain-related factors controlling only for center, sex and age differences. Non-normal distributions of the outcome variables could influence the mean differences we report so appropriate measures were used to assess this. CFQ was left skewed, however, a log transformation normalizing the distribution did not significantly influence the median or the mean differences. Mean differences in ISI, CFQ, and HSCL-25 between the centers were estimated using linear regression adjusting for age and gender. We used logistic regression to estimate crude and adjusted odds ratio (OR) for having a high symptom score of ISI, CFQ, and HSCL (above clinically relevant cutoff) associated with demographic, lifestyle, and health related factors. All ORs were adjusted for center, age, and sex. Precision of the estimated associations were assessed by a 95% confidence interval (CI). Cases with missing data were excluded from the analyses. All analyses were conducted in IBM SPSS 25.0.
3 Results
A total of 1563 patients answered the Patient response package between 01.01.2017 and 15.06.2018, of these 43% at STO, 32% at HUS, and 24% at UNN. Descriptive statistics of patients are shown in Table 1, both according to center and the overall sample.
Patient characteristics for each center and all centers combined (n=1563).
| STO (n: 674) % |
HUS (n: 504) % |
UNN (n: 385) % |
All centers (n: 1563) % |
|
|---|---|---|---|---|
| Age mean (SD) | 40.3(13.5) | 45.4 (13.0) | 44.5 (13.6) | 42.9(13.2) |
| 17–35 years | 39.6 | 27.1 | 27.3 | 32.7 |
| 36–50 years | 37.7 | 37.3 | 38.4 | 37.8 |
| 51–65 years | 17.8 | 26.9 | 25.3 | 22.5 |
| 65+ years | 4.9 | 8.1 | 8.9 | 7.1 |
| Women | 69.9 | 59.1 | 67.9 | 66.0 |
| Married/cohabitant | 38.0 | 43.7 | 33.0 | 63.6 |
| Education | ||||
| Primary education (7–10 years) | 22.7 | 23.1 | 26.3 | 23.0 |
| High school or equivalent | 47.6 | 43.3 | 43.4 | 45.2 |
| Higher education | 29.7 | 33.6 | 30.3 | 31.1 |
| Actively working/student/militarya | 39.8 | 26.4 | 27.3 | 32.6 |
| Physical activity | ||||
| No physical activity (PA) | 21.2 | 27.3 | 29.0 | 25.0 |
| Low PA | 66.7 | 63.9 | 58.0 | 63.0 |
| Medium/High PA | 11.6 | 9.8 | 13.0 | 11.6 |
| Exposure to serious life event(s) | 59.4 | 62.4 | 62.5 | 60.7 |
| Social network (got close friend to talk to) | 76.6 | 78.5 | 76.4 | 77.2 |
| Years with pain mean (SD) | 10.1 (8.5) | 9.9(9.1) | 11.0(10.0) | 10.2(9.1) |
| Pain discomfort mean (SD) | 7.6(1.7) | 7.9 (1.6) | 7.5(1.8) | 7.7(1.7) |
| Widespread painb | 51.6 | 39.3 | 52.2 | 47.8 |
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STO=St. Olavs Hospital; HUS=Haukeland University Hospital; UNN=University Hosptial of North Norway; CI=confidence interval; SD=standard deviation.
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aAge <=67, bchronic widespread pain was defined and automatically calculated according to the ACR 1990 criteria [19]; i.e. axial plus upper and lower segment plus left and right sided pain defined from the response to a 25-pain site body map.
3.1 Differences between centers
Table 2 shows differences in reported fatigue, insomnia symptoms and mental health between the three centers. Overall, there were no meaningful differences in either mean fatigue- or insomnia score.
Mean differences and odds ratio (ORs) for clinically important levels of Insomnia Severity Index (ISI), Chalder fatigue scale (CFQ) and Hopkins Symptom Check List (HSCL) between three centers across Norway.
| Study center | No. of persons | Mean (SD) | Mean difference |
Clinical cut-offa |
||||
|---|---|---|---|---|---|---|---|---|
| Crude | Adjustedb | 95% CI | Percent above cut-off | Adjustedb OR | 95% CI | |||
| CFQ, range 0–11 | ||||||||
| 4 (STO) | 672 | 7.0(3.2) | 0.00 | 0.0 | (Reference) | 40 | 1.0 | (Reference) |
| 2 (HUS) | 498 | 6.9(2.9) | −0.17 | −0.04 | (−0.01 to 0.78) | 32 | 0.82 | (0.64–1.06) |
| 3 (UNN) | 382 | 7.0(3.2) | 0.02 | 0.54 | (0.09–0.86) | 42 | 1.15 | (0.88–1.50) |
| ISI, range 0–28 | ||||||||
| 4 (STO) | 665 | 12.5(6.7) | 0.00 | 0.0 | (Reference) | 38 | 1.0 | (Reference) |
| 2 (HUS) | 492 | 12.9(6.9) | 0.40 | 0.15 | (−0.73 to 1.03) | 42 | 1.01 | (0.83–1.36) |
| 3 (UNN) | 378 | 12.9(6.6) | 0.40 | 0.15 | (−0.66 to 0.96) | 40 | 1.00 | (0.77–1.32) |
| HSCL-25, range 0–4 | ||||||||
| 4 (STO) | 664 | 2.14(0.57) | 0.00 | 0.0 | (Reference) | 73 | 1.0 | (Reference) |
| 2 (HUS) | 488 | 2.04(0.53) | −0.11 | −0.08 | (−0.14 to 0.01) | 67 | 0.82 | (0.63–1.08) |
| 3 (UNN) | 378 | 2.02(0.53) | −0.12 | −0.10 | (−0.17 to 0.03) | 65 | 0.72 | (0.54–0.95) |
-
STO=St. Olavs Hospital; HUS=Haukeland University Hospital; UNN=University Hospital of North Norway; CI=confidence interval; SD=standard deviation.
-
aClinical cut-off scores CFQ=9 ISI=15; and HSCL=1.75.
-
bAdjusted for age and sex (women, men).
The proportions, reporting symptoms of anxiety and depression equal or were above the clinical cut-off of 1.75 on the HSCL-25 sum score, were lower at UNN (OR 0.65; 95% CI 0.50–0.85) compared with STO.
3.2 Patient characteristics associated with clinically high fatigue score levels
Table 3 shows that the proportion with high level of fatigue was higher among those with higher education (OR 1.56 95% CI 1.16–2.12) compared to those who had completed primary education only. The corresponding proportions were lower among workers (OR 0.69; 95% CI 0.54–0.87) compared to non-workers; among the most physically active (OR 0.36; 95% CI 0.23–0.55) compared to the least physically active; and among those who reported close friendship (OR 0.65; 95% CI 0.50–0.84) compared to those who did not. There was a higher proportion with high fatigue score among patients who reported to have been exposed to serious life event(s) (OR 1.93; 95% CI 1.54–2.42) and among those who had chronic widespread pain (OR 2.10; 95% CI 1.69–2.61).
Odds ratio (OR) for a clinically high level of Chalder fatigue questionnaire (cut-off ≥9) associated with patient characteristics.
| Variables | No. of persons | Clinical cut-off ≥9 |
||
|---|---|---|---|---|
| Percent above cut-off | Adjusteda OR | 95% CI | ||
| Marital/cohabited status | ||||
| Unmarried/non-cohabitant | 961 | 35 | 1.0 | (Reference) |
| Married/cohabitant | 591 | 40 | 1.34 | (1.07–1.68) |
| Education | ||||
| Primary education (7–10 years) | 366 | 32 | 1.0 | (Reference) |
| High school or equivalent | 697 | 38 | 1.25 | (0.94–1.66) |
| Higher education | 480 | 43 | 1.56 | (1.16–2.12) |
| Working statusb | ||||
| Non-worker | 932 | 42 | 1.0 | (Reference) |
| Worker | 455 | 34 | 0.69 | (0.54–0.87) |
| Physical activity | ||||
| No physical activity | 373 | 44 | 1.0 | (Reference) |
| Low | 944 | 40 | 0.81 | (0.62–1.05) |
| Medium/High | 173 | 24 | 0.36 | (0.23–0.55) |
| Social network | ||||
| No close friends to talk to | 344 | 45 | 1.0 | (Reference) |
| Close friend to talk to | 1163 | 37 | 0.65 | (0.50–0.84) |
| Serious life event(s) | ||||
| No exposure to serious life event (s) | 605 | 30 | 1.0 | (Reference) |
| Exposure to serious life event (s) | 940 | 44 | 1.93 | (1.54–2.42) |
| Widespread pain | ||||
| No | 809 | 29 | 1.0 | (Reference) |
| Yes | 743 | 48 | 2.10 | (1.69–2.61) |
-
CI=confidence interval.
-
aAdjusted for study center, age, and sex; bage<67.
3.3 Patient characteristics associated with clinically high insomnia symptoms
Table 4 shows that the proportions who reported moderate/severe insomnia, were lower among workers (OR 0.52; 95% CI 0.41–0.68) compared to non-workers; among the most physically active (OR 0.67; 95% CI 0.45–0.99) compared to the least physically active, and for the ones who reported close friendship (OR 0.66; 95% CI 0.51–0.84) compared to those who did not. There was a higher proportion with moderate/severe insomnia among those who reported to have been exposed to serious life event(s) (1.85; 95% CI 1.48–2.32) and among those who had chronic widespread pain (OR 1.71; 95% CI 1.38–2.13).
Odds ratio (OR) for a clinically high level of Insomnia severity indexes (cut-off ≥15) associated with patient characteristics.
| Variables | No. of persons | Percent above cut-off | Adjusteda OR | 95% CI |
|---|---|---|---|---|
| Marital/cohabited status | ||||
| Unmarried/non-cohabitant | 557 | 40 | 1.0 | (Reference) |
| Married/cohabitant | 978 | 39 | 0.92 | (0.74–1.16) |
| Education | ||||
| Primary education (7–10 years) | 356 | 42 | 1.0 | (Reference) |
| High school or equivalent | 688 | 42 | 1.01 | (0.82–1.40) |
| Higher education | 473 | 36 | 0.85 | (0.63–1.14) |
| Working statusb | ||||
| Non-worker | 918 | 45 | 1.0 | (Reference) |
| Worker | 449 | 30 | 0.52 | (0.41–0.68) |
| Physical activity | ||||
| No physical activity | 370 | 43 | 1.0 | (Reference) |
| Low | 944 | 40 | 0.95 | (0.73–1.23) |
| Medium/High | 172 | 32 | 0.67 | (0.45–0.99) |
| Social network | ||||
| No close friends to talk to | 344 | 59 | 1.0 | (Reference) |
| Close friend to talk to | 1162 | 37 | 0.66 | (0.51–0.84) |
| Serious life event(s) | ||||
| No exposure to serious life event (s) | 597 | 32 | 1.0 | (Reference) |
| Exposure to serious life event (s) | 931 | 45 | 1.85 | (1.48–2.32) |
| Widespread pain | ||||
| No | 797 | 35 | 1.0 | (Reference) |
| Yes | 738 | 45 | 1.71 | (1.38–2.13) |
-
CI=confidence interval.
-
aAdjusted for study center, age, and sex; bage <67.
3.4 Patient characteristics associated with clinically high levels of mental distress
Table 5 shows that the proportions who reported high levels of mental distress, were lower amongst workers (OR 0.53; 95% CI 0.41–0.68) compared to non-workers; among the most physically active (OR 0.50; 95% CI 0.33–0.75) compared to the least physically active; and among those who reported close friendship (OR 0.27; 95% CI 0.20–0.38) compared to those who did not. There was a higher proportion with high levels of mental distress among patients who reported to have been exposed to serious life event (s) (OR 2.56; 95% CI 2.03–3.23) and among those who had chronic widespread pain (OR 2.05; 95% CI 1.62–2.59).
Odds ratio (OR) for a clinically high level of Hopkins Symptom Check List (cut-off ≥1.75) associated with patient characteristics.
| Variable | No. of persons | Percent above cut-off | Adjusteda OR | 95% CI |
|---|---|---|---|---|
| Marital/cohabited status | ||||
| Unmarried/non-cohabitant | 557 | 71 | 1.0 | (Reference) |
| Married/cohabitant | 973 | 68 | 0.93 | (0.7–1.18) |
| Education | ||||
| Primary education (7–10 years) | 355 | 68 | 1.0 | (Reference) |
| High school or equivalent | 685 | 72 | 1.17 | (0.87–1.57) |
| Higher education | 472 | 65 | 0.87 | (0.64–1.18) |
| Working statusb | ||||
| Non-Worker | 659 | 72 | 1.0 | (Reference) |
| Worker | 279 | 62 | 0.53 | (0.41–0.68) |
| Physical activity | ||||
| No physical activity (PA) | 370 | 74 | 1.0 | (Reference) |
| Low PA | 944 | 70 | 0.80 | (0.60–1.05) |
| Medium/High PA | 172 | 61 | 0.50 | (0.33–0.75) |
| Social network | ||||
| No close friends to talk to | 344 | 86 | 1.0 | (Reference) |
| Close friend to talk to | 1162 | 64 | 0.27 | 0.20–0.38 |
| Serious life event(s) | ||||
| No exposure to serious life event (s) | 593 | 58 | 1.0 | (Reference) |
| Exposure to serious life event (s) | 930 | 77 | 2.56 | (2.03–3.23) |
| Widespread pain | ||||
| No | 796 | 62 | 1.0 | (Reference) |
| Yes | 734 | 77 | 2.05 | (1.62–2.59) |
-
CI=confidence interval.
-
aAdjusted for study center, age, and sex; bage <67.
3.5 Health related quality of life
Table 6 shows mean SF-6D HRQoL index levels between 0.59 (STO) and 0.55 (HUS). According to a minimally important difference of 0.03, mean HRQoL was higher for workers compared to non-workers (mean adjusted difference: 0.045, 95% CI 0.035–0.055), physically active compared to least physically active (0.076, 95% CI 0.059–0.092); those reporting close friends to talk to compared to not; (0.038, 95% CI 0.027–0.049) and for those who reported no exposure to serious life event(s) compared to those who did report exposure (−0.032 95% CI −0.041 to 0.022). Only minor differences were found for marital status, education level and widespread pain.
Mean differences for health related quality of life (SF 6D Index).
| Study center | No. of persons | Mean (SD) | Mean difference |
||
|---|---|---|---|---|---|
| Crude | Adjusteda | 95% CI | |||
| 4 (STO) | 580 | 0.59(0.06) | 0.000 | 0.000 | (Reference) |
| 2 (HUS) | 430 | 0.55(0.09) | −0.045 | −0.041 | (−0.059 to −0.037) |
| 3 (UNN) | 326 | 0.56(0.09) | −0.039 | −0.048 | (−0.053 to −0.029) |
| Marital/cohabited status | |||||
| Unmarried/non-cohabitant | 569 | 0.56(0.08) | 0.000 | 0.000 | (Reference) |
| Married/cohabitant | 994 | 0.57(0.09) | 0.002 | 0.002 | (−0.008 to 0.011) |
| Education | |||||
| Primary education (7–10 years) | 366 | 0.56(0.13) | 0.000 | 0.000 | (Reference) |
| High school or equivalent | 697 | 0.56(0.09) | 0.001 | 0.001 | (−0.011 to 0.014) |
| Higher education | 480 | 0.57(0.09) | 0.010 | 0.012 | (−0.000 to 0.027) |
| Working statusb | |||||
| Non-worker | 812 | 0.55(0.08) | 0.000 | 0.000 | (Reference) |
| Worker | 339 | 0.60(0.08) | 0.048 | 0.045 | (0.035–0.055) |
| Physical activity | |||||
| No physical activity | 373 | 0.54(0.08) | 0.000 | 0.000 | (Reference) |
| Low | 944 | 0.57(0.08) | 0.033 | 0.030 | (0.019–0.041) |
| Medium/High | 480 | 0.61(0.10) | 0.076 | 0.076 | (0.059–0.092) |
| Social network | |||||
| Got no close friends to talk to | 310 | 0.54(0.08) | 0.000 | 0.000 | (Reference) |
| Got close friend to talk to | 1022 | 0.58(0.08) | 0.036 | 0.038 | (0.027–0.049) |
| Serious life event(s) | |||||
| No exposure to serious life event (s) | 502 | 0.59(0.08) | 0.000 | 0.000 | (Reference) |
| Exposure to serious life event (s) | 830 | 0.55(0.08) | −0.032 | −0.032 | (−0.041 to −0.022) |
| Widespread pain | |||||
| No | 676 | 0.58(0.09) | 0.000 | 0.000 | (Reference) |
| Yes | 660 | 0.56(0.07) | −0.020 | −0.020 | (−0.029 to −0.011) |
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STO=St. Olavs Hospital; HUS=Haukeland University Hospital; UNN=University Hospital of North Norway; CI=confidence interval; SD=standard deviation. aAdjusted for age, sex (women, men) and study center; bage <67.
4 Discussion
This cross-sectional study showed that the samples of chronic non-malignant pain patients, examined at three tertiary, regional multidisciplinary pain centers in Norway present with many years of pain, mean age below 50 years of age, a high female proportion, a low employment rate and low physical activity rate compared to the general population [30], [31]. Also, a large proportion (61%) reported to have been exposed to serious life event(s). Health related quality scores were lower than those reported for patient groups like rheumatoid arthritis, chronically ill hemodialysis patients and stroke patients, but were similar to those for patients with chronic low back pain, liver transplant and chronic obstructive pulmonary disease [32], and corroborate to a large extent with patient characteristics described in corresponding Scandinavian and other international studies on pain [4], [13], [15], [33], [34], [35], [36].
Our patient samples reported high levels of fatigue, moderate/severe insomnia and symptoms of mental distress based on clinical cut-off scores, in accordance with several studies [3], [4], [36], [37], [38]. We found some differences between the centers. Patient at STO reported a higher score of mental distress than UNN, however, health-related quality of life was reported to be higher at STO than HUS and UNN. It is reason to believe that the observed differences between the centers to a large extent are associated with regional differences which might lead to a different selection of patients. Although the pain centers share the same population responsibility for provision of treatment, there are differences in personnel capacity of physicians, psychologists, physiotherapists and nurses. The division of tasks between the pain center and other hospital wards may also differ. However, despite the observed differences, the similarities are more striking than the differences.
When comparing our result to findings from a recent study evaluating the largest pain center in Norway (OUS), situated in the southern region [36], those patients were in average 10-years older than those at STO. This difference might partly be due to that center’s responsibility for the Norwegian National Advisory Unit on Neuropathic Pain. Thus, the center gets referred more patients with neuropathic pain [36]. STO is on the other hand, responsible for the Norwegian National Advisory Unit on Complex Symptom Disorders and might therefore get referred a different selection of patients.
Non-worker, no physical activity, lack of social network, reports of exposure to serious life event(s) and widespread pain were all characteristics repeatedly associated with clinically high levels of the three symptom scores: fatigue, insomnia and mental distress. Our results corroborate with previous results. For instance, Jensen et al., 2016, provided a description of 1176 patients referred to a Danish multidisciplinary pain center and found that non-work participation was significantly correlated to mental distress and to low health-related quality of life. Patients on sick leave had the poorest outcomes on these measures [13].
The odds of reporting clinically high level of fatigue were twice as high for patients with chronic widespread pain compared with patients without widespread pain, and the numbers are similar for moderate/severe insomnia and symptomatic mental distress. Insomnia and fatigue are both found to be important statistical predictors of the onset of chronic widespread pain [37]. The interaction between insomnia and mental distress is also well-established [37], but the latter relationship is not evaluated here.
Physical inactivity among CNMP patients is well known, but the direction of the association is unclear and several hypotheses have been suggested [39]. A common suggestion is that pain creates fear of movement which is assumed to play an important role in the chronification process [40], [41], [42]. The patient adapts to an avoidance behavior which in the long run might cause disability and mental distress [37], [40], [41]. From this hypothesis, physical activity has become a frequent rehabilitation modality and has shown physical improvement amongst CNMP patients [43]. In this study, we found clear associations between physical inactivity and clinically high levels of all the three symptom scores. This supports a potential interaction between physical inactivity in CNMP patients which needs to be further investigated.
Several studies have shown a relationship between social support and pain-related disability [9], [44], [45], [46], and more perceived social support is associated with better clinical outcomes [9], [44]. For patients with other chronic diseases the benefits of social support are found to be significant, whereas social isolation and loneliness may have detrimental effect on mental and physical health [46]. Our findings showed that the proportion of patients, reporting clinically high level of mental distress, was significantly lower among those reporting sufficient social support compared with those reporting lack of social support.
A large proportion of the patients reported to have been exposed to serious life event (61%), and this was associated with clinically higher values for all three symptom scores. It is well known that a number of physiological and psychological processes become enacted when a person experiences acute stress or trauma which again might trigger dysregulation of the physiologic stress system and development of stress-related conditions [47]. Several studies have suggested a potential link between traumatic experiences and subsequent development of chronic pain [9], [47], [48]. A large metanalysis revealed that individuals reporting exposure to previous trauma, regardless of what type, was 2.7 times more likely to have a CNMP [47]. The link between early traumatic experiences and development of chronic pain, however, is still debated. Other researchers have questioned the validity of self-reported data from retrospective cross-sectional studies due to the risk of memory bias [49]. In a prospective cohort study with documented cases of child abuse or neglect, Raphael et al. found the odds of reporting one or more unexplained pain symptoms not associated with childhood victimization [49]. However, a more recent and large, prospective cohort study by the Macfarlane group [48] contrastingly found a clear association between adverse childhood events, defined as physical trauma and poor social/psychological environment, and adult CNMP. The discussion has also raised the question about how childhood traumas are explored [50]. A report of previous exposure to serious life event may or may not be a recall of a traumatic event and should, if reported, be further explored. Collecting data by a brief “yes or no” questionnaire, as in our study, has indeed not the same validity as careful examination by trained interviewers or other objective documentation.
Although the patient characteristics might carry important information for further assessment and planning of a multimodal treatment, the direction of the relationship between these characteristics and symptoms are unclear and warrants further investigation. It is likely that most of these associations are multidirectional, and that there are interactions between the different characteristics and between the different symptoms. In the light of the complex nature of CNMP and acceptance of a biopsychosocial perspective, it is important to assess whether some specific characteristics carry clues useful for further investigations and most importantly, for appropriate interventions.
The present study has several limitations. A cross-sectional study is not designed to define any cause-effect relations between the variables. All data are based on patient reported measures and under and over reporting of symptoms are well known challenges. These are measuring errors that can influence the observed means and proportions. In addition, there might be underlying systematic differences between the centers which we have not been able to control for resulting in sample bias. Example of such could be systematic referral biases by the general practitioners (GP). If the GPs systematically choose not to refer the active working patient to the pain center our results regarding associations of work situation with fatigue, insomnia and mental distress can reflect systematically selected sample.
Methodological limitations are the possibility of some item overlap between the different symptoms score and wrongful associations. Although statistical measures have been taken to avoid type 1 errors, some of the observed associations could still be due to chance.
The strength of our study is the completeness of data and that the study is done in a regular clinical setting.
5 Conclusions
This present study on the samples of chronic, nonmalignant pain patients referred to three regional multidisciplinary pain centers in Norway shows (1) patient characteristics of many years of pain, mean age of 42.9 years, high proportion women, low employment rate, low physical activity rate and a large proportion reporting to have been exposed to serious life event(s); (2) differences in the patient samples between the three centers which probably reflect structural differences, and (3) patient characteristics such as no work participation, no physical activity, lack of social network, previous exposure to serious life event and chronic widespread pain are all statistically associated with high clinical levels of symptoms such as insomnia, fatigue and mental distress, and patient characteristics such as no work participation, no physical activity, lack of social network, and previous exposure to serious life event(s) are associated with low HRQL.
Acknowledgements
The authors thank the Ministry of Health and Care Services for funding, the Central Norway Regional Health Authority for continuous support, the evaluation project advisory board for valuable input to this study and Heidi Haagenstad for all her office and administrative help.
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Authors statements
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Research funding: The research is funded by Ministry of Health and Care Services.
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Conflict of interest: Authors state no conflict of interest.
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Informed consent: Exemption was given to obtain informed consent in this study from those who had not returned consent form.
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Ethical approval: The research related to human use complies with all the relevant national regulations, institutional policies and was performed in accordance with the tenets of the Helsinki Declaration and has been approved by the Regional committee for medical and health research Ethics (2018/634).
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©2020 Mona Stedenfeldt et al., published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
Articles in the same Issue
- Frontmatter
- Systematic review
- Are there differences in lifting technique between those with and without low back pain? A systematic review
- Topical reviews
- Pain psychology in the 21st century: lessons learned and moving forward
- Chronic abdominal pain and persistent opioid use after bariatric surgery
- Clinical pain research
- Spinal cord stimulation for the treatment of complex regional pain syndrome leads to improvement of quality of life, reduction of pain and psychological distress: a retrospective case series with 24 months follow up
- The feasibility of gym-based exercise therapy for patients with persistent neck pain
- Intervention with an educational video after a whiplash trauma – a randomised controlled clinical trial
- Reliability of the conditioned pain modulation paradigm across three anatomical sites
- Is rotator cuff related shoulder pain a multidimensional disorder? An exploratory study
- Are degenerative spondylolisthesis and further slippage postoperatively really issues in spinal stenosis surgery?
- Multiprofessional assessment of patients with chronic pain in primary healthcare
- The impact of chronic orofacial pain on health-related quality of life
- Pressure pain thresholds in children before and after surgery: a prospective study
- Observational studies
- An observational study on risk factors for prolonged opioid prescription after severe trauma
- Dizziness and localized pain are often concurrent in patients with balance or psychological disorders
- Pre-consultation biopsychosocial data from patients admitted for management at pain centers in Norway
- Original experimentals
- Local hyperalgesia, normal endogenous modulation with pain report beyond its origin: a pilot study prompting further exploration into plantar fasciopathy
- Pressure pain sensitivity in patients with traumatic first-time and recurrent anterior shoulder dislocation: a cross-sectional analysis
- Cross-cultural adaptation of the Danish version of the Big Five Inventory – a dual-panel approach
- The development of a novel questionnaire assessing alterations in central pain processing in people with and without chronic pain
- Letters to the Editor
- The clinical utility of a multivariate genetic panel for identifying those at risk of developing Opioid Use Disorder while on prescription opioids
- Should we use linked chronic widespread pain and fibromyalgia diagnostic criteria?
- Book review
- Akut och cancerrelaterad smärta – Smärtmedicin Vol. 1
Articles in the same Issue
- Frontmatter
- Systematic review
- Are there differences in lifting technique between those with and without low back pain? A systematic review
- Topical reviews
- Pain psychology in the 21st century: lessons learned and moving forward
- Chronic abdominal pain and persistent opioid use after bariatric surgery
- Clinical pain research
- Spinal cord stimulation for the treatment of complex regional pain syndrome leads to improvement of quality of life, reduction of pain and psychological distress: a retrospective case series with 24 months follow up
- The feasibility of gym-based exercise therapy for patients with persistent neck pain
- Intervention with an educational video after a whiplash trauma – a randomised controlled clinical trial
- Reliability of the conditioned pain modulation paradigm across three anatomical sites
- Is rotator cuff related shoulder pain a multidimensional disorder? An exploratory study
- Are degenerative spondylolisthesis and further slippage postoperatively really issues in spinal stenosis surgery?
- Multiprofessional assessment of patients with chronic pain in primary healthcare
- The impact of chronic orofacial pain on health-related quality of life
- Pressure pain thresholds in children before and after surgery: a prospective study
- Observational studies
- An observational study on risk factors for prolonged opioid prescription after severe trauma
- Dizziness and localized pain are often concurrent in patients with balance or psychological disorders
- Pre-consultation biopsychosocial data from patients admitted for management at pain centers in Norway
- Original experimentals
- Local hyperalgesia, normal endogenous modulation with pain report beyond its origin: a pilot study prompting further exploration into plantar fasciopathy
- Pressure pain sensitivity in patients with traumatic first-time and recurrent anterior shoulder dislocation: a cross-sectional analysis
- Cross-cultural adaptation of the Danish version of the Big Five Inventory – a dual-panel approach
- The development of a novel questionnaire assessing alterations in central pain processing in people with and without chronic pain
- Letters to the Editor
- The clinical utility of a multivariate genetic panel for identifying those at risk of developing Opioid Use Disorder while on prescription opioids
- Should we use linked chronic widespread pain and fibromyalgia diagnostic criteria?
- Book review
- Akut och cancerrelaterad smärta – Smärtmedicin Vol. 1