ArticleBritish journal of pain2024
Treated versus self-reported prevalence of chronic pain and costs of patients' health services utilization: a population-based study of health administrative databases.
Article in British journal of pain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- The association between violence against women and chronic pain: a systematic review and meta-analysis.BMC women's health · 2024Pooled it
- Chronic Pain in Italy: Turning Numbers Into Actionable Solutions.Pain research & management · 2025Review
- Patient-centred approach in pain management: Solutions within reach?British journal of pain · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To compare treated to self-reported prevalence of chronic pain (CP) and to estimate health services utilization (HSU) costs of patients treated for CP in Alberta, Canada. Methods: Patients treated for CP were identified by the physician billing codes of health services for CP from the practitioner claims database in fiscal year 2021/22. The treated prevalence of CP (number of these patients divided by the population) was compared to the self-reported prevalence of CP previously estimated (doi:10.1371/journal.pone.0272638). Costs of patients' HSU included costs for general practitioner (GP), specialist, inpatient, emergency department, outpatient clinic services, and prescription drugs. Results: The treated prevalence of CP was 6.0% (4.4% among males and 7.8% among females) which was 30% to 41% of the self-reported prevalence. The highest treated prevalence (7.2%) was found in the age group of 18-64 years, followed by age groups of >64 years (7.0%) and <18 years (2.1%). The average cost per patient per year was $5096 ($5878 for males and $4652 for females), of which hospitalizations accounted for 65.0%, outpatient clinic visits 16.4%, ED visits 9.5%, prescription drugs 4.7%, GP visits 3.9%, and specialist visits 0.4%. The total cost of patients with CP for the health system was $1.37 billion (∼7% of total health expenditure), of which males accounted for 41.7% and females for 58.3%. Discussion: Our findings suggest that the economic burden of CP is considerable and that many people with self-reported CP do not use the public healthcare services. This can be multifactorial, including lack of availability and accessibility of publicly funded services, people's lack of awareness of available services, lower utilization due to COVID-19 pandemic, and reliance on self-management, private services, and alternative treatments. Further studies are warranted to inform future policies and health system initiatives aiming to reduce the burden of CP and improve lives of people living with it.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.