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Record W6884673505 · doi:10.11575/prism/46610

An Examination of Patients’ Experiences with Navigation Services in Alberta’s Healthcare System

2024· other· en· W6884673505 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisPsychological interventionSet (abstract data type)Health careConstruct (python library)Qualitative researchHealthcare systemData collection

Abstract

fetched live from OpenAlex

Background: The concept of patient navigation (PN) was first envisioned to assist marginalized cancer patients access appropriate and timely healthcare resources. While this understanding of PN may still hold for a subgroup of programs today, the expansion of PN over the past 30 years has resulted in a diverse set of interventions with distinct care settings, patient eligibility criteria, navigator training, and program objectives. Noting this, our study sought to better understand how PN has evolved by gathering information on patients’ perspectives and interactions with PN programs across Alberta. Our objectives were to (i) explore patients’ current experiences with PN programs, and (ii) identify the features of PN felt to be of particular value to patients. Methods: To address these objectives, we conducted an interpretive descriptive study to collate the experiences of adult patients with longitudinal exposure to Albertan PN programs (involvement for greater than or equal to one month). Participant recruitment occurred via key informant sampling with navigators across Alberta. One-on-one semi-structured interviews were conducted to explore patient experiences with PN and their understanding of it as a broader concept. Inductive thematic analysis and interpretive exercises were subsequently performed to construct a coherent message from the data. Continued collaboration with two patient partners was maintained throughout the study to ensure responsiveness to patient priorities. Results: This study involved 23 participants with experience using nurse navigators, transition navigators, and lay community health navigators. Irrespective of navigation type, the participants’ stories were tethered by their navigators’ promotion of seamless and personalized care, as well as their ability to seemingly humanize the healthcare system. This was accomplished through a set of participant-identified navigator characteristics, including approachability, accessibility, and comprehensive systems knowledge. While the identified functions and characteristics of navigators were consistent across participants, how these components were operationalized varied based on the program’s setting and the particular needs of each patient. Conclusion: As a patient-centred intervention, understanding patients’ experiences and valuations of PN is critical to distilling the essence of the intervention. This research directly addresses ongoing knowledge gaps surrounding contemporary understandings of PN, particularly from patients’ perspectives.

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)0.005
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 score0.588
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.004
Scholarly communication0.0030.001
Open science0.0010.003
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 head0.019
GPT teacher head0.308
Teacher spread0.289 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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