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Record W4402738053 · doi:10.2196/52703

Exploring Patient, Proxy, and Clinician Perspectives on the Value and Impact of an Inpatient Portal: A Reflexive Thematic Analysis

2024· article· en· W4402738053 on OpenAlexvenueno aff
Simone Schmidt, Adam Boulton, B Butler, Timothy Fazio

Bibliographic record

VenueJMIR Human Factors · 2024
Typearticle
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsnot available
Fundersnot available
KeywordsPatient portalThematic analysisReflexivityProxy (statistics)MedicineContext (archaeology)Patient experiencePsychosocialResistance (ecology)AffordancePsychologyMedical educationHealth careQualitative researchPsychiatryComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Research exploring perspectives on inpatient portals reports that patients desire the information affordances of inpatient portals, and clinicians recognize their value for improving patient experience but also express caution regarding sharing aspects of the medical record. This study contributed to the existing literature on inpatient portals by considering the psychosocial dimension of clinician resistance to information sharing with inpatients and the power dynamic associated with clinician-patient information asymmetry. Along with the information affordances commonly discussed in this area, this study explored perspectives on the novel option to audio record consultations via an inpatient portal. OBJECTIVE: This study aims to understand patient, proxy, and clinician perspectives on the value and impact of an inpatient portal within the Australian context. It explores clinician resistance and receptivity to sharing aspects of the medical record with patients and the power dynamic that characterizes the relationship between clinician and patient. It considers how an inpatient portal might assist in the transformation of this relationship such that this relationship could be characterized by greater information symmetry. METHODS: Interviews were conducted with patients (n=20), proxies (n=4), and clinicians (n=21) recruited from 3 areas within the Royal Melbourne Hospital, where the portal would later be implemented. A largely inductive reflexive thematic analysis was conducted. RESULTS: Patient and proxy participants reported that they wanted to understand what is happening in their care for peace of mind and that an inpatient portal could support this understanding. Clinician participants reflected on how they might transform their information-sharing practice to provide greater transparency in their relationship with patients. Participants considered the types of information that could be shared and how this information could be shared via an inpatient portal. Four key themes were generated: (1) affording the patient and proxy awareness, control, and reassurance through sharing accessible and meaningful information; (2) protecting the clinician and safeguarding quality health care in information sharing; (3) flexibly deploying the functions depending upon clinician, patient, proxy, and context; and (4) moving toward person-centered care: empowerment and equity via an inpatient portal. CONCLUSIONS: An inpatient portal provides an opportunity to reconceptualize the medical record and how this information might be shared with patients while they are admitted to the hospital, such that they have more understanding as to what is happening in their care, which ultimately supports their well-being. The transition to a more transparent information-sharing culture in the Australian hospital context will take time. An inpatient portal is a critical step in facilitating this transition and creating more informational symmetry in the clinician-patient relationship.

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)0.070
metaresearch head score (Gemma)0.094
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 score0.070
Threshold uncertainty score0.372

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0700.094
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.006
Science and technology studies0.0100.018
Scholarly communication0.0080.009
Open science0.0030.011
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.252
GPT teacher head0.520
Teacher spread0.269 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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