People living with chronic pain face multiple difficult decisions leading to high level of decisional conflict

<h3>Context:</h3> Implementing shared decision-making is an international priority in chronic pain care, especially for primary care clinicians. <h3>Objective:</h3> We sought to understand decisional needs of people living with chronic pain in Canada. <h3>Study design and Analysis:</h3> Informed by the Checklist for Reporting Of Survey Studies, we conducted a population-based cross-sectional online survey across the 10 Canadian provinces. We reported national prevalence of decisional conflict. We identified difficult decisions in terms of diagnosis, treatment, daily living, and consultation and stratified results using respondents’ most difficult decision. We determined assumed and preferred role during the decision-making process as well as their congruence. <h3>Setting or Dataset:</h3> We gathered data from random samples registered within the Leger Marketing 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 across Canadian provinces. <h3>Outcome Measures:</h3> Based on the Ottawa Decision Support Framework, we collected data on difficult decisions faced when interacting with health care providers, the Decisional Conflict Scale (DCS≥25 or DCS≥37.5) and the Control Preferences Scale (assumed and preferred role). <h3>Results:</h3> We recruited 1,649 respondents with diverse socio-demographic profiles. Mean age was 51.8 years (SD=16.3). Half were man (51%), most lived in urban areas (88%), and pain duration ranged from 3 months to 59 years. We observed that 97% of respondents faced at least one difficult decision across their care pathways. We found thirty-six difficult decisions related to medical consultation, diagnosis, treatment, and daily life. Half (49%) of respondents made their most difficult decision with a primary care physician. Nationally, two third (69%) of respondents experienced decisional conflict (DCS score&gt;25) and one third (34%) clinically significant decisional conflict (DCS&gt;37.5). Two-thirds (68%) of respondents self-reported having a collaborative role during their decision while 76% wanted this role. <h3>Conclusions:</h3> People living with chronic pain have unmet decisional needs limiting optimal decisions to manage their chronic pain. Our findings will guide development of shared decision-making interventions to reduce decisional conflict at a national level, especially to support primary care where most discussions about difficult decisions occur.

Authors

Publication Details

Journal
Pain Management
Published
2024-11-20
DOI
https://doi.org/10.1370/afm.22.s1.6081
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

People living with chronic pain face multiple difficult decisions leading to high level of decisional conflict

Chloé Cachinho, Yannick Tousignant‐Laflamme, Maxime Sasseville, Simon Décary et al.
Pain Management
Health Systems, Economic Evaluations, Quality of Life
article

People living with chronic pain face multiple difficult decisions leading to high level of decisional conflict

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

Abstract

<h3>Context:</h3> Implementing shared decision-making is an international priority in chronic pain care, especially for primary care clinicians. <h3>Objective:</h3> We sought to understand decisional needs of people living with chronic pain in Canada. <h3>Study design and Analysis:</h3> Informed by the Checklist for Reporting Of Survey Studies, we conducted a population-based cross-sectional online survey across the 10 Canadian provinces. We reported national prevalence of decisional conflict. We identified difficult decisions in terms of diagnosis, treatment, daily living, and consultation and stratified results using respondents’ most difficult decision. We determined assumed and preferred role during the decision-making process as well as their congruence. <h3>Setting or Dataset:</h3> We gathered data from random samples registered within the Leger Marketing 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 across Canadian provinces. <h3>Outcome Measures:</h3> Based on the Ottawa Decision Support Framework, we collected data on difficult decisions faced when interacting with health care providers, the Decisional Conflict Scale (DCS≥25 or DCS≥37.5) and the Control Preferences Scale (assumed and preferred role). <h3>Results:</h3> We recruited 1,649 respondents with diverse socio-demographic profiles. Mean age was 51.8 years (SD=16.3). Half were man (51%), most lived in urban areas (88%), and pain duration ranged from 3 months to 59 years. We observed that 97% of respondents faced at least one difficult decision across their care pathways. We found thirty-six difficult decisions related to medical consultation, diagnosis, treatment, and daily life. Half (49%) of respondents made their most difficult decision with a primary care physician. Nationally, two third (69%) of respondents experienced decisional conflict (DCS score&gt;25) and one third (34%) clinically significant decisional conflict (DCS&gt;37.5). Two-thirds (68%) of respondents self-reported having a collaborative role during their decision while 76% wanted this role. <h3>Conclusions:</h3> People living with chronic pain have unmet decisional needs limiting optimal decisions to manage their chronic pain. Our findings will guide development of shared decision-making interventions to reduce decisional conflict at a national level, especially to support primary care where most discussions about difficult decisions occur.

Pain Management
Peace, Justice and strong institutions
Openalex Percentile: Top 74%
Health Systems, Economic Evaluations, Quality of Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.