Treatment satisfaction mediates the association between perceived physician empathy and psychological distress in a community sample of individuals with chronic pain

2020 ◽  
Author(s):  
Andrea Too ◽  
Catherine Gatien ◽  
Stéphanie Cormier
Keyword(s):  
Chronic Pain ◽  
Psychological Distress ◽  
Treatment Satisfaction ◽  
Community Sample ◽  
Physician Empathy

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

2020 ◽  
Vol 20 (2) ◽  
pp. 253-259 ◽  
Author(s):  
Frank Patrick Schwarm ◽  
Marco Stein ◽  
Eberhard Uhl ◽  
Hagen Maxeiner ◽  
Malgorzata A. Kolodziej
Keyword(s):  
Quality Of Life ◽  
Spinal Cord ◽  
Chronic Pain ◽  
Psychological Distress ◽  
Treatment Satisfaction ◽  
Case Series ◽  
Pain Syndrome ◽  
Retrospective Case

AbstractBackground and aimsComplex regional pain syndrome (CRPS) is a common pain condition which is characterized by pain, functional impairment, and trophic changes. Neurosurgical treatment is not widely offered. In this study the treatment with spinal cord stimulation (SCS) was evaluated over 24 months follow up.MethodsA retrospective case analysis of six patients with severe CRPS was performed. Pain chronicity was recorded with the Mainz Pain Staging System (MPSS). Pain intensity (NRS), activity level and health-related quality of life (EQ-5D-5L), the actual mood state (ASTS), and treatment satisfaction (CSQ-8) were assessed. All patients received conventional pharmacological treatments including multimodal pain therapy through their local pain therapist or in specialized centers as well as physical therapy. A SCS electrode was implanted for trial stimulation. After successful trial a neurostimulator was implanted and connected to the electrode. Patients were retrospectively analyzed before implantation and 6, 12 and 24 months postoperatively. Statistical analysis was performed using Mann–Whitney U and Wilcoxon rank-sum test.ResultsPatients median age was 43 years (IQR25−75 37–43 years). The median MPSS Score was 3 of 3 indicating a high pain chronicity. Median NRS before implantation of the neurostimulator was 8.8 (IQR25−75 7.6–9.3). A reduction to 7.8 (IQR25−75 4.8–8.1; p = 0.14) after 6 months, 6.5 (IQR25−75 3.8–8.1; p = 0.08) after 1 year, and 6.8 (IQR25−75 3.8–8.5; p = 0.15) after 2 years was achieved. Median EQ-5D-5L index value before treatment was 0.27 (IQR25−75 0.25–0.41) indicating a severely lowered quality of life. A significant improvement to 0.53 (IQR25−75 0.26–0.65; p = 0.03) after 6 months, 0.58 (IQR25−75 0.26–0.84; p = 0.03) after 1 year as well as after 2 years was seen. ASTS scale showed an increase of values for positive mood, and a reduction in values for sorrow, fatigue, anger and desperation during the whole follow up period. The treatment satisfaction in the whole cohort with a median CSQ-8 value of 29.5 of 32 was very high.ConclusionThe results of this small case series showed a significant improvement of the EQ-5D-5L after implantation of a neurostimulator. NRS reduction was not significant but a clear tendency towards reduced values was observed. We therefore conclude that SCS is an alternative option to relieve chronic pain and psychological distress originating from CRPS if non-invasive managements of severe CRPS failed. The preoperative selection plays a crucial role for good results.ImplicationsCRPS is difficult to treat. SCS is an alternative option to improve the quality of life and relieve chronic pain originating from severe CRPS if conservative treatment modalities fail. Further psychological distress is reduced in long-term follow up. SCS should be kept in mind for therapy refractory cases.

scholarly journals Marital functioning, chronic pain, and psychological distress

Pain ◽  
2004 ◽  
Vol 107 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Annmarie Cano ◽  
Mazy Gillis ◽  
Wanda Heinz ◽  
Michael Geisser ◽  
Heather Foran
Keyword(s):  
Chronic Pain ◽  
Psychological Distress ◽  
Marital Functioning

scholarly journals Confirmatory Factor Analysis of the Depression, Anxiety, and Stress Scale amongst Indian Adults

2020 ◽  
Author(s):  
Manoj Kumar Sharma ◽  
David John Hallford ◽  
Nitin Anand
Keyword(s):  
Psychological Distress ◽  
Factor Model ◽  
Community Sample ◽  
Mental Health Research ◽  
Emotional States ◽  
Strongly Correlated ◽  
Confirmatory Factor Analyses ◽  
Stress Scale ◽  
Confirmatory Factor ◽  
General Psychological Distress

Background: The Depression, Anxiety, and Stress Scale (DASS) is a widely used measure of negative emotional states. While the DASS is increasingly used in mental health research in India, to date no study has examined the factor structure among Indian adults. Methods: A large community sample of English-speaking Indian adults completed the DASS 21-item version, and confirmatory factor analyses were conducted. Results: The results indicated a good fit for a three factor (depression, anxiety, and stress) and a one-factor model (general psychological distress). There was no substantial difference between the fit of the models, and the DASS subscales were very strongly correlated with one another (r ≥ .80). Conclusion: The findings from this sample suggest that the DASS-21 items appear to assess general psychological distress, with little evidence that the items assess three distinct subscales.

scholarly journals Profiling Suicide Exposure Risk Factors for Psychological Distress: An Empirical Test of the Proposed Continuum of Survivorship Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Navjot Bhullar ◽  
Rebecca L. Sanford ◽  
Myfanwy Maple
Keyword(s):  
Risk Factors ◽  
Psychological Distress ◽  
Latent Profile Analysis ◽  
Community Sample ◽  
Exposure Risk ◽  
Suicide Death ◽  
Proposed Model ◽  
Survivorship Model ◽  
The Continuum

The Continuum of Survivorship proposes a way in which individuals may experience the suicide death of someone known to them along a continuum from being exposed to the death through to long-term bereavement. The present study provides a first empirical testing of the proposed model in an Australian community sample exposed to suicide. Using a Latent Profile Analysis, we tested the suicide exposure risk factors (time since death, frequency of pre-death contact, reported closeness, and perceived impact) to map to the Continuum of Survivorship model. Results revealed identification of five profiles, with four ranging from suicide exposed to suicide bereaved long-term broadly aligning with the proposed model, with one further profile being identified that represented a discordant profile of low closeness and high impact of suicide exposure. Our findings demonstrate that while the proposed model is useful to better understand the psychological distress related to exposure to suicide, it cannot be used as “shorthand” for identifying those who will be most distressed, nor those who may most likely need additional support following a suicide death. Implications and future research directions are discussed.

scholarly journals Chronic pain and psychological distress among adults in Udupi

2018 ◽  
Vol 19 (1) ◽  
pp. 42
Author(s):  
Paramjot Panda ◽  
Suchismita Panda
Keyword(s):  
Chronic Pain ◽  
Psychological Distress

scholarly journals Subtyping psychological distress in the population: a semi-parametric network approach

2019 ◽  
Vol 29 ◽  
Author(s):  
S. de Vos ◽  
S. Patten ◽  
E. C. Wit ◽  
E. H. Bos ◽  
K. J. Wardenaar ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Community Sample ◽  
A Priori ◽  
Network Models ◽  
Optimal Choice ◽  
Data Driven ◽  
Network Density ◽  
Parametric Network ◽  
Distress Scale ◽  
Non Parametric

Abstract Aims The mechanisms underlying both depressive and anxiety disorders remain poorly understood. One of the reasons for this is the lack of a valid, evidence-based system to classify persons into specific subtypes based on their depressive and/or anxiety symptomatology. In order to do this without a priori assumptions, non-parametric statistical methods seem the optimal choice. Moreover, to define subtypes according to their symptom profiles and inter-relations between symptoms, network models may be very useful. This study aimed to evaluate the potential usefulness of this approach. Methods A large community sample from the Canadian general population (N = 254 443) was divided into data-driven clusters using non-parametric k-means clustering. Participants were clustered according to their (co)variation around the grand mean on each item of the Kessler Psychological Distress Scale (K10). Next, to evaluate cluster differences, semi-parametric network models were fitted in each cluster and node centrality indices and network density measures were compared. Results A five-cluster model was obtained from the cluster analyses. Network density varied across clusters, and was highest for the cluster of people with the lowest K10 severity ratings. In three cluster networks, depressive symptoms (e.g. feeling depressed, restless, hopeless) had the highest centrality. In the remaining two clusters, symptom networks were characterised by a higher prominence of somatic symptoms (e.g. restlessness, nervousness). Conclusion Finding data-driven subtypes based on psychological distress using non-parametric methods can be a fruitful approach, yielding clusters of persons that differ in illness severity as well as in the structure and strengths of inter-symptom relationships.

Pain Catastrophizing Mediates the Association Between Mindfulness and Psychological Distress in Chronic Pain Syndrome

Pain Practice ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 714-723
Author(s):  
Yael Conti ◽  
Jean‐Jacques Vatine ◽  
Sigal Levy ◽  
Yulia Levin Meltz ◽  
Sami Hamdan ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Psychological Distress ◽  
Pain Catastrophizing ◽  
Pain Syndrome ◽  
Chronic Pain Syndrome
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