| Literature DB >> 26615412 |
Silje Maeland1,2, Liv Heide Magnussen3,4, Hege R Eriksen5,6, Erik L Werner7,8, Anna Helle-Valle9, Gunnel Hensing10.
Abstract
Purpose The purpose of this study is to test if there is correspondence in stakeholders' assessments of health, work capacity and sickness certification in four workers with comorbid subjective health complaints based on video vignettes. Methods A cross sectional survey among stakeholders (N = 514) in Norway in 2009/2010. Logistic regression and multinomial logistic regression was used to obtain the estimated probability of stakeholders choosing 100 % sick leave, partial sick leave or work and the estimation of odds ratio of stakeholder assessment compared to the other stakeholders for the individual worker. Results The supervisors were less likely to assess poor health and reduced work capacity, and more likely to suggest partial sick leave and full time work compared to the GPs for worker 1. The public was less likely to assess comorbidity and reduced work capacity, and 6 and 12 times more likely to suggest partial sick leave and full time work compared to the GPs for worker 1. Stakeholders generally agreed in their assessments of workers 2 and 3. The public was more likely to assess poor health, comorbidity and reduced work capacity, and the supervisors more likely to assess comorbidity and reduced work capacity, compared to the GPs for worker 4. Compared to the GPs, all other stakeholders were less likely to suggest full time work for this worker. Conclusions Our results seem to suggest that stakeholders have divergent assessments of complaints, health, work capacity, and sickness certification in workers with comorbid subjective health complaints.Entities:
Keywords: Comorbidity; General practitioners; Return to work; Sick leave; Work capacity evaluation
Mesh:
Year: 2016 PMID: 26615412 PMCID: PMC4967420 DOI: 10.1007/s10926-015-9618-x
Source DB: PubMed Journal: J Occup Rehabil ISSN: 1053-0487
Description of the workers presented in the video vignettes, gender, age, demography, complaints and self-assessment of disability
| Worker | Gender, age | Demography | 1st complaint mentioned in consultation/principal complaint | Secondary complaints | Self-assessment of disability |
|---|---|---|---|---|---|
| 1 | ♀ 25 | Single, no children | General pain in the neck, the back and in arms | Respiratory complaints, no objective findings of asthma or other known somatic disease. Anxiety and depression periodically treated with antidepressants | Expresses hope to achieve ability to work, but need substantial improvement in health conditions first |
| 2 | ♂ 40 | Married, two children | Back and neck pain | Sleeping disturbances due to pain | The work is physically hard and provokes pain |
| 3 | ♂ 37 | Married, unknown number of children | General intense fatigue | No other complaints but have read about CFS which he finds fits his problems | No work capacity |
| 4 | ♀ 37 | No information on marital status or children | Periodically numbness, staring like a toothache, followed by headache and a sensation of anesthesia on the right side of the body; things slips out of her hand. Extensive medical examination has not proved any cause of the symptoms | No other complaints | Difficult to work with these complaints, unsure about sick leave |
Differences between stakeholders (N = 529)
| Vignette | Stakeholders | Assessment | Suggestion | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Poor health | Comorbidity | Reduced work capacity | Partial sick leave | Full time work | |||||||||||||
| n | % | ORa | 95 % CI | % | ORb | 95 % CI | % | ORc | 95 % CI | % | ORd | 95 % CI | % | ORd | 95 % CI | ||
| W1 | GPs | 120 | 45 | 1 | 83 | 1 | 82 | 1 | 30 | 1 | 8 | 1 | |||||
| Supervisors | 107 |
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| 78 | 0.7 | [0.4–1.5] |
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| Publice | 127 | 43 | 0.9 | [0.5–1.4] |
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| 56 | 0.9 | [0.5–1.4] |
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| Insurer | 28 | 63 | 1.9 | [0.8–4.7] | 82 | 0.9 | [0.3–2.8] | 78 | 0.8 | [0.3–2.1] | 48 | 1.9 | [0.8–4.7] | 13 | 2.7 | [0.6–11.9] | |
| W2 | GPs | 120 | 10 | 1 | 72 | 1 | 31 | 1 | 10 | 1 | 67 | 1 | |||||
| Supervisors | 107 | 6 | 0.5 | [0.2–1.5] | 78 | 1.4 | [0.7–2.6] | 24 | 0.7 | [0.4–1.2] | 13 | 0.5 | [0.2–1.5] | 71 | 1.5 | [0.7–2.9] | |
| Publice | 109 | 12 | 1.2 | [0.6–2.8] | 64 | 0.7 | [0.4–1.2] | 39 | 1.4 | [0.8–2.4] | 34 | 1.2 | [0.6–2.8] | 56 | 1.9 | [0.9–4.2] | |
| Insurer | 28 | 12 | 1.1 | [0.3–4.4] | 65 | 0.7 | [0.3–1.8] | 41 | 1.5 | [0.6–3.6] | 30 | 1.1 | [0.3–4.4] | 63 | 2.9 | [0.6–13.6] | |
| W3 | GPs | 120 | 31 | 1 | 30 | 1 | 73 | 1 | 36 | 1 | 10 | 1 | |||||
| Supervisors | 107 | 44 | 1.7 | [0.9–3.1] |
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| 80 | 1.5 | [.8–2.9] | 29 | 1.7 | [0.9–3.1] | 13 | 1.2 | [0.5–2.9] | |
| Publice | 116 | 40 | 1.4 | [0.8–2.5] |
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| 79 | 1.3 | [.7–2.8] | 42 | 1.4 | [0.8–2.5] |
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| Insurer | 28 |
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| 86 | 2.2 | [.7–6.8] |
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| 4 | 0.4 | [0.1–3.4] | |
| W4 | GPs | 120 | 4 | 1 | 34 | 1 | 25 | 1 | 30 | 1 | 60 | 1 | |||||
| Supervisors | 107 | 7 | 1.7 | [0.5–5.3] |
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| 51 | 1.7 | [.5–5.3] |
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| Publice | 133 |
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| Insurer | 28 | 13 | 3.2 | [0.7–14.3] | 46 | 1.7 | [0.7–4.0] | 37 | 1.8 | [0.7–4.3] | 48 | 3.2 | [0.7–14.3] |
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General practitioners (GPs) (n = 120), supervisors (n = 107), the public (n = 259), the insurer (n = 28), in assessment of health, comorbidity, work capacity and in suggestion of either 100 % sick leave, partial sick leave or full time work in four vignette cases of workers with comorbid subjective health complaints
Bold represent significant findings p < 0.05
aVersus Good health
bVersus No comorbidity
cVersus Work capacity not reduced
dVersus 100 % sick leave
ePublic, n = 259, but not all volunteers in the Public group watched all the four vignettes and this explains the shifting n in this group
Socio-demographic variables and differences between the stakeholders (N = 529)
| GPs (n = 120) | Supervisors (n = 107) | Public (n = 259) | Insurer (n = 28) | |
|---|---|---|---|---|
| Gender, n (%) | ||||
| Men | 76 (63.3) | 29 (27.1) | 83 (32.0) | 10 (35.7) |
| Women | 44 (36.7) | 76 (71.0) | 155 (59.8) | 18 (64.3) |
| Education, n (%) | ||||
| Elementary school | – | – | 16 (6.2) |
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| High school | – | 8 (7.5) | 107 (41.3) | 2 (7.1) |
| University college/University 1–4 years | – | 74 (69.2) | 80 (30.9) | 7 (25.0) |
| University >4 years | 120 (100) | 23 (21.5) | 38 (14.7) | 19 (67.9) |
| Missing | – | 2 (1.9) | 18 (6.9) | – |
| Age, n (%) | ||||
| 20–30 | 2 (1.7) | 2 (1.9) | 62 (23.9) | 1 (3.6) |
| 31–40 | 26 (21.7) | 30 (28.0) | 70 (27.0) | 3 (10.7) |
| 41–50 | 39 (32.5) | 37 (34.6) | 59 (22.8) | 12 (42.9) |
| 51–60 | 30 (25.0) | 29 (27.1) | 39 (15.1) | 8 (28.6) |
| ≥61 | 18 (15.0) | 7 (6.5) | 9 (3.5) | 3 (10.7) |
| Missing | – | 2 (1.9) | 20 (7.7) | 1 (3.6) |
Chi-square for difference between stakeholders: p value <.001 for all demographic variables