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Record W4224292083 · doi:10.1186/s12882-022-02776-w

Healthcare provider perspectives on integrating peer support in non-dialysis-dependent chronic kidney disease care: a mixed methods study

2022· article· en· W4224292083 on OpenAlexafffundabout
Shannan Love, Tyrone G. Harrison, Danielle E. Fox, Maoliosa Donald, Nancy Verdin, Brenda R. Hemmelgarn, Meghan J. Elliott

Bibliographic record

VenueBMC Nephrology · 2022
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsAlberta Health ServicesUniversity of AlbertaAlberta HealthUniversity of Calgary
FundersCanadian Institutes of Health ResearchKidney Foundation of CanadaCanadian Nurses Foundation
KeywordsPeer supportMedicineKidney diseaseSocial supportLikert scaleNursingHealth careWorkloadFamily medicineMedical educationPsychologyInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Peer support complements traditional models of chronic kidney disease (CKD) care through sharing of peer experiences, pragmatic advice, and resources to enhance chronic kidney disease self-management and decision-making. As peer support is variably offered and integrated into multi-disciplinary CKD care, we aimed to characterize healthcare providers' experiences and views on peer support provision for people with non-dialysis-dependent CKD within Canada. METHODS: In this concurrent mixed methods study, we used a self-administered online survey to collect information from multi-disciplinary CKD clinic providers (e.g., nurses, nephrologists, allied health professionals) on peer support awareness, program characteristics and processes, perceived value, and barriers and facilitators to offering peer support in CKD clinics. Results were analyzed descriptively. We undertook semi-structured interviews with a sample of survey respondents to elaborate on perspectives about peer support in CKD care, which we analyzed using inductive, content analysis. RESULTS: We surveyed 113 providers from 49 clinics. Two thirds (66%) were aware of formal peer support programs, of whom 19% offered in-house peer support through their clinic. Peer support awareness differed by role and region, and most referrals were made by social workers. Likert scale responses suggested a high perceived need of peer support for people with CKD. Top cited barriers to offering peer support included lack of peer support access and workload demands, while facilitators included systematic clinic processes for peer support integration and alignment with external programs. Across 18 interviews, we identified themes related to peer support awareness, logistics, and accessibility and highlighted a need for integrated support pathways. CONCLUSIONS: Our findings suggest variability in awareness and availability of peer support among Canadian multi-disciplinary CKD clinics. An understanding of the factors influencing peer support delivery will inform strategies to optimize its uptake for people with advanced CKD.

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)0.034
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.041
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0040.002
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.465
Teacher spread0.357 · 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 designQualitative
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

Citations9
Published2022
Admission routes3
Has abstractyes

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