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Record W6926476256 · doi:10.25384/sage.c.5911640

Mental Health Care for Adults Treated With Dialysis in Canada: A Scoping Review

2022· other· en· W6926476256 on OpenAlexaffabout

Bibliographic record

VenueSage Journals Data · 2022
Typeother
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMental healthDialysisPsychological interventionHealth careMEDLINEMental health care

Abstract

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Purpose of review:Mental illnesses, especially depression and anxiety, are common conditions frequently underrecognized and untreated among individuals with end-stage kidney disease. Existing tools/interventions, approaches to care, and resources to support mental health for people treated with dialysis in Canada are not well known. The aim of this scoping review was to systematically describe how mental health care is provided to adults treated with dialysis in Canada. The research questions we sought to answer were the following: (1) What mental health assessment tools and interventions for adults treated with dialysis have been investigated and utilized in Canada? (2) what is the structure and process of mental health care delivered by kidney care to adults treated with dialysis in Canada? and (3) what is the availability of mental health care resources developed for adults treated with dialysis in Canada?Sources of information:Electronic databases included Medline, Embase, CINAHL, PsycINFO, Cochrane Library, Scopus, and Web of Science for peer-reviewed literature, and Google search engine for gray literature.Methods:Systematic searches were conducted to identify peer-reviewed and gray literature that focused on mental health care or support offered to adults receiving any form of dialysis in Canadian kidney care settings and/or community organizations. Mental health care and support was defined to include mental health assessment tools, interventions, resources, guidelines, and/or pathways used in dialysis in Canada. Title, abstracts, and full texts were screened independently by 2 reviewers with discrepancies resolved by additional team members. Web sites were screened by individual members. Data from included studies and Web sites were extracted based on the abovementioned research questions.Key findings:We identified 8 peer-reviewed articles from electronic databases, and 28 separate Web site addresses. Of the 8 articles, 4 investigated mental health assessment tools and 4 examined mental health interventions for individuals treated with dialysis in Canada. The mental health assessment tools that have been used are Beck Depression Inventory-II (BDI-II), Edmonton System Assessment Scale (ESAS), Edmonton System Assessment Scale revised (ESAS-r): Renal, Hospital Anxiety and Depression Scale (HADS), and Distress Assessment and Response Tool (DART), and the nonpharmacological interventions that have been investigated are intradialytic exercise, tai chi exercise program, medical music therapy, and brief mindfulness meditation. Of the 28 Web site addresses, 2 contained clinical tools for kidney care providers for the management of depression and anxiety in individuals treated with dialysis. The 26 remaining Web sites contained mental health resources for individuals with kidney disease, which presented different types of resources, including psychoeducation, peer support, and linkage to other services.Conclusion:In conclusion, we found only a limited number of studies investigating mental health assessment tools and interventions in Canada; there was a paucity of randomized controlled trials. Clinical pathways for the assessment and management of mental illness or symptoms in individuals treated with dialysis in Canada are also limited, and no clinical practice guidelines exist. Several mental health resources for people living with dialysis are available, predominantly focused on psychoeducation and peer support. Despite increasing prevalence of mental health concerns by people treated with dialysis, mental health care remains underaddressed.Limitations:It is plausible that additional literature related to mental health assessment tools, interventions, resources, guidelines, and pathways exists that we did not find during our systematic search, especially in gray literature that was limited to one search engine. In addition, health care agencies or organizations may have developed other mental health resources, which may not be available on the Internet.

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)0.011
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.305
Threshold uncertainty score0.613

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0180.031
Science and technology studies0.0030.002
Scholarly communication0.0060.003
Open science0.0030.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.366
Teacher spread0.335 · 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 designSystematic review
Domainnot available
GenreReview

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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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