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Record W7162040974 · doi:10.82308/34044

Access to mental health services for people living with chronic pain

2022· dissertation· en· W7162040974 on OpenAlexaboutno aff
Jennifer Cohen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthPsychological interventionChronic painContext (archaeology)Mental distressMental health lawDistressHealth care

Abstract

fetched live from OpenAlex

Introduction: Chronic pain is an important global health issue, and mental health conditions frequently co-occur together. Additionally, a significant proportion of people living with chronic pain (PLWCP) may develop opioid use problems from prescribed opioid medications. Psychological interventions can have a positive effect on pain, co-occurring mental health conditions, as well as on reducing opioid medication doses. Still, access to such services is generally considered to be problematic due to barriers such as costs, stigma, and service availability. PLWCP may encounter additional access barriers due to population-specific characteristics such as pain-related distress and disability, trauma, unemployment, and more. This thesis aims to evaluate the accessibility of mental health services for PLWCP. Methods: Two studies were conducted in the context of this thesis. In the first study, a narrative review of the literature on the utilization of mental health services by PLWCP was completed. This review was based on 9 articles reporting the proportion of PLWCP that had used any type of mental health services (i.e. mental health services or consultations with mental health professionals). In the second study, an online survey to evaluate the perceived needs for mental health care (MHC) of a sample of PLWCP in Quebec was completed. The survey was distributed to members of the Quebec Chronic Pain Association, and on social media. Results: In the first study, the narrative review helped identify 9 articles, where 15 reports of mental health service utilization by PLWCP were identified. Nine of these reports pertained to the utilization of mental health services for pain-related reasons, whereas the remaining 6 reports concerned service mental health service utilization for mental health-related reasons. On average, only a quarter of study samples had used mental health services for any of the two reasons (M = 24%; 95% CI [13%-35%]). The utilization of mental health services for mental health-related reasons represented a higher proportion of participants (M = 35.6%; 95% CI [11%-60%]), than their utilization for pain-related reasons (M = 16.1%; 95% CI [9%-23%]). In the second study, a total of 140 participants were recruited. Of these, 82 participants reported a need for MHC to manage mental health problems in terms of information, medication, and counselling or psychotherapy. Results showed that only 16% of this sample indicated that all of their perceived MHC needs were met, and 40% indicated that none of their perceived MHC needs were met. Conclusions: The two studies carried out in the context of this thesis indicate that the accessibility of MHC for the chronic pain population seems to be sub-optimal. Overall, findings from this thesis suggest that the chronic pain population is not currently using mental health services to the degree to which they could benefit from them and that they may have unmet perceived needs for MHC. It is important to address these gaps to improve the treatment of chronic pain and co-occurring mental health problems, as well as to contribute to reducing the reliance on opioid medications and their negative consequences

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.331
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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