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Record W3048136570 · doi:10.1177/2054358120946572

Social Support in the Peritoneal Dialysis Experience: A Qualitative Descriptive Study

2020· article· en· W3048136570 on OpenAlexaffabout
Danielle E. Fox, Robert R. Quinn, Matthew T. James, Lorraine Venturato, Kathryn King‐Shier

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2020
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPeritoneal dialysisSocial supportMedicineFamily supportDialysisQualitative researchEnd stage renal diseaseContext (archaeology)Emotional supportNursingHemodialysisIntensive care medicineFamily medicinePsychiatryPsychologySurgeryPhysical therapyPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND: People with end-stage kidney disease can either pursue conservative (palliative) management or kidney replacement therapy. Although transplant is preferred, there is a limited number of organs available rendering the majority of patients treated with some form of dialysis. Hemodialysis and peritoneal dialysis are equivalent regarding clinical outcomes, but peritoneal dialysis is much less costly to provide. Peritoneal dialysis is most often done in the home by the patient or a support person and carries a self-care burden on patients and families. Social support is important for patients receiving peritoneal dialysis and in sustaining peritoneal dialysis therapy. Few studies have comprehensively explored social support in the context of peritoneal dialysis. OBJECTIVE: To explore how patients, family members, and nurses view social support. DESIGN: Qualitative, descriptive study. SETTING: An outpatient peritoneal dialysis clinic in Western Canada. PARTICIPANTS: Patients, family members, and nurses. METHODS: 11) were interviewed between January and May 2018. Content analysis was undertaken using 4 attributes of social support (ie, emotional support, instrumental support, informational support, and appraisal support) as an analytic framework. RESULTS: Themes related to the 4 attributes of social support were identified: addressing emotional needs and managing emotion (emotional support); peritoneal dialysis tasks and life tasks (instrumental support); accessing information, receiving information, and learning (informational support); and affirmation/external reassurance and self-confidence (appraisal support). The social support needs of both patients and family members varied and were dependent on their existing support networks and individual perspectives of support. LIMITATIONS: It is possible that some of the study findings were gender-bound as well as context-specific. The study findings could be different if the patient and caregiver sample were more balanced based on sex. There are also unique attributes of each peritoneal dialysis program that may impact the transferability of these findings to other practice settings. CONCLUSION: Home-based peritoneal dialysis has potential benefit to patients and health care systems. However, receiving peritoneal dialysis requires support. If health care providers wish to promote this treatment, they must also understand how to best support patients and their family members. TRIAL REGISTRATION: Not applicable.

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)0.007
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0090.006
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0010.002
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 head0.069
GPT teacher head0.375
Teacher spread0.306 · 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

Citations15
Published2020
Admission routes2
Has abstractyes

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