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Record W6948653771 · doi:10.5064/f6uxqabw

Exploring the Acceptability of a Community-Enhanced Intervention to Improve Decision Support Partnership between Patients with Chronic Kidney Disease and Their Family Caregivers

2024· dataset· en· W6948653771 on OpenAlexaboutno aff

Bibliographic record

VenueSyracuse University Qualitative Data Repository · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipCoachingIntervention (counseling)Decision support systemSocial supportFamily caregiversStakeholderData collectionPhase (matter)Formative assessment

Abstract

fetched live from OpenAlex

<h3>Project Overview</h3> <p> The goal of this 12-month, 3-phase formative evaluation intervention pilot study was to create a patient component to a decision support training intervention in development for family caregivers, called ImPart (Improving Decisional Partnership of CKD Dyads). ImPart consists of two caregiver components: 1) coaching on effective decision support and 2) decision support communication training. As a part of the original intervention, patients were only to receive Ottawa Decision Guide training. After understanding through interviews with patients and caregivers that this was not enough, we undertook this study to develop a more comprehensive patient-focused component to the intervention. </p> The purposes of the study were: <ol type="1"> <li>In Phase I, to use collaborative research principles to partner with patient and caregiver stakeholder group to use previously collected interview data to adapt the caregiver decision support training for patients. </li> <li>In Phase II, to test the refined patient component in a single-arm pilot study consisting of two consecutive waves of 5 patient/caregiver dyads/waves. While only patients participated in the decisional support training, caregivers were also interviewed to explore their perceptions of the patient’s ability to be a better decisional-support partner. To ensure that diverse experiences were captured, we purposively ensured that 50% of participants identify as Black. </li> <li>In Phase III, to share the preliminary data regarding acceptability and useability and complete final refinement of the patient component. </li> </ol> <p>This deposit provides the interview data from the Phase 2 acceptability interviews with CKD patients-caregivers dyads to describe their health-related decision-making experiences, needs, and challenges. These data have led to discussions about how patient training in communication could enhance the decision support partnership between the patient and caregiver. Additionally, this study was guided by an engaged, established patient and caregiver stakeholder group. Consisting of 8 members (4 patients, 4 caregivers/ 4 Black) this group has partnered with the study team since development and are committed to continue serving as their health allows in ongoing research endeavors.</p> <p> By using data and engaging those who have experience in CKD we have created a more robust dyadic version of ImPart that is better designed to empower the CKD dyad, with the decisional partnership and communication skills required to navigate advanced CKD before illness decisions are necessary (stage 3B and 4) so they can: 1. contemplate the decision needed; 2. positively deal with emotions; 3. request the resources/support needed; and 4. make decisions that reflect one’s expectations, values, and preferences. </p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0030.005
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.098
GPT teacher head0.340
Teacher spread0.242 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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