Distance and connection: Understanding the complex dynamics of telephone consultations for patients with chronic illness
Bibliographic record
Abstract
Introduction and objective: This study explores the experiences of chronically ill patients with telephone consultations, a digital communication form that has gained prominence in healthcare, especially during the Covid-19 pandemic. The objective of this study was to understand how telephone consultations impact the relationship between patients and healthcare professionals along with their impact on patients' everyday lives. Methods: The study employs a qualitative, hermeneutic-phenomenological approach inspired by Ricoeur’s theory of narrative and interpretation. In-depth interviews were conducted with 12 patients from various outpatient clinics in the Midwestern part of Jutland, Denmark. The interviews were analyzed using a three-level process: naïve reading, structural analysis, and comprehensive understanding. Results: Three main themes emerged: Feeling restrained while time is saved, Feeling the importance of relationships while consultations are result-oriented, and Feeling distanced while keeping up appearances. They appreciated the convenience and time-saving advantages but felt restrained by the need to be constantly available for calls. The lack of visual contact contributed to a sense of distance, and some patients felt consultations were overly focused on results rather than addressing holistic needs. The findings highlight the complex dynamics of telephone consultations. While they offer significant advantages, such as increased accessibility and convenience, they also present challenges, including the lack of visual cues and the potential for depersonalization. Conclusions: Telephone consultations are a valuable tool in healthcare. However, strategies are needed to address their challenges to ensure person-centered care. Implications: The study underscores the importance of clear communication, scheduling, and fostering strong patient-healthcare professional relationships to enhance the effectiveness of telephone consultations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".