Risk factors of clinically significant decisional conflict in people living with chronic pain

<h3>Context:</h3> Decision-making in chronic pain care is characterized by a high level of decisional conflict (i.e., uncertainty about the course of action) leading to potentially reduced health outcomes. Most of difficult decisions on pain management are faced in primary care. Evidence outlines that shared decision-making could reduce decisional conflict, but current interventions in chronic pain had limited impact. Identifying factors of decisional conflict and target them with shared decision-making interventions is required to improve people-centred pain care. <h3>Objective:</h3> To identify risk factors of clinically significant decisional conflict from a national survey across Canada. <h3>Study design and Analysis:</h3> We conducted a population-based cross-sectional online survey in the 10 Canadian provinces. We used the recommendations of the Strengthening Analytical Thinking for Observational Studies to develop our statistical analysis plan. We used multilevel binary logistic regression models to identify risk factors, reported as odds ratios. Setting or Dataset: We gathered data from random samples registered within the Leger panel (i.e., a panel of 500,000 representative members of Canadian society with Internet access). <h3>Population studied:</h3> We recruited adults living with chronic noncancer pain. <h3>Outcome Measures:</h3> The dependent variable was decisional conflict (measured with the Decisional Conflict Scale). Independent variables were decisional needs reported in the Ottawa Decision Support Framework. <h3>Results:</h3> In this national cross-sectional online survey of 1373 random respondents with diverse socio-demographic profiles, we found that moderate health literacy (OR=2.4 [1.6; 3.6]) and incomplete (OR=1.5 [1; 2.1]) or no (OR=2 [1.3; 3.2]) prior knowledge on the options are statistically significant modifiable risk factors that increase the risk of clinically significant decisional conflict. Perception of having assumed a collaborative role (OR=0.5 [0.3; 0.7]), congruence between preferred and assumed role (OR=0.6 [0.4; 0.8]), and decision self-efficacy (OR=0.65 [0.6; 0.7]) are modifiable risk factors that reduce the risk of clinically significant decisional conflict. <h3>Conclusions:</h3> The risk factors identified in this national study revealed that most of them are modifiable with comprehensive shared decision-making interventions. These modifiable risk factors should be considered by primary care clinicians when discussing pain management with a person living with chronic pain.

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Publication Details

Journal
Pain Management
Published
2024-11-20
DOI
https://doi.org/10.1370/afm.22.s1.6080
Citations
1
Primary Topic
Psychological Treatments and Assessments
Type
article
Field-Weighted Citation Impact
0.64
Controls
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article

Risk factors of clinically significant decisional conflict in people living with chronic pain

Chloé Cachinho, Yannick Tousignant‐Laflamme, Maxime Sasseville, Simon Décary et al.
1 citations
Pain Management
Psychological Treatments and Assessments
0.64
article

Risk factors of clinically significant decisional conflict in people living with chronic pain

Chloé Cachinho, Yannick Tousignant‐Laflamme, Maxime Sasseville, Simon Décary, Florian Naye, Thomas Gérard
article en
1 citations

Abstract

<h3>Context:</h3> Decision-making in chronic pain care is characterized by a high level of decisional conflict (i.e., uncertainty about the course of action) leading to potentially reduced health outcomes. Most of difficult decisions on pain management are faced in primary care. Evidence outlines that shared decision-making could reduce decisional conflict, but current interventions in chronic pain had limited impact. Identifying factors of decisional conflict and target them with shared decision-making interventions is required to improve people-centred pain care. <h3>Objective:</h3> To identify risk factors of clinically significant decisional conflict from a national survey across Canada. <h3>Study design and Analysis:</h3> We conducted a population-based cross-sectional online survey in the 10 Canadian provinces. We used the recommendations of the Strengthening Analytical Thinking for Observational Studies to develop our statistical analysis plan. We used multilevel binary logistic regression models to identify risk factors, reported as odds ratios. Setting or Dataset: We gathered data from random samples registered within the Leger panel (i.e., a panel of 500,000 representative members of Canadian society with Internet access). <h3>Population studied:</h3> We recruited adults living with chronic noncancer pain. <h3>Outcome Measures:</h3> The dependent variable was decisional conflict (measured with the Decisional Conflict Scale). Independent variables were decisional needs reported in the Ottawa Decision Support Framework. <h3>Results:</h3> In this national cross-sectional online survey of 1373 random respondents with diverse socio-demographic profiles, we found that moderate health literacy (OR=2.4 [1.6; 3.6]) and incomplete (OR=1.5 [1; 2.1]) or no (OR=2 [1.3; 3.2]) prior knowledge on the options are statistically significant modifiable risk factors that increase the risk of clinically significant decisional conflict. Perception of having assumed a collaborative role (OR=0.5 [0.3; 0.7]), congruence between preferred and assumed role (OR=0.6 [0.4; 0.8]), and decision self-efficacy (OR=0.65 [0.6; 0.7]) are modifiable risk factors that reduce the risk of clinically significant decisional conflict. <h3>Conclusions:</h3> The risk factors identified in this national study revealed that most of them are modifiable with comprehensive shared decision-making interventions. These modifiable risk factors should be considered by primary care clinicians when discussing pain management with a person living with chronic pain.

Pain Management
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Psychological Treatments and Assessments
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