ArticlePEC innovation2025
"It's hard to talk to a computer, I get it": An exploratory analysis of clinician connection-building communication practices in rural telepalliative care encounters.
Article in PEC innovation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Patient and Caregiver Perspectives on Communication Quality in Tele-Palliative Care.Journal of palliative medicine · 2026Article
- Mobile Health in Home-Based Palliative Care: Realist Review of Contextual Factors and Mechanisms Influencing Outcomes.JMIR mHealth and uHealth · 2026Review
- Communication practices and experience of connection in telehealth serious illness conversations with rural cancer patients: a qualitative study.BMC palliative care · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Context/Objectives: Establishing human connection is critical during serious illness conversations, however the sensory and relational environment of telehealth may require innovative communication practices for clinicians, patients, and families to do so effectively. We sought to explore if and how recommended in-person best practices for establishing human connection are adapted to the telehealth palliative care (telePC) setting, to enable discovery and description of practice innovations in this new care environment. Methods: We analyzed data from the Northern New England Palliative Care TeleConsult Research Study - a formative mixed-methods pilot study at two academic medical centers in rural US states with patients with serious illness (2019-2020). We used a qualitative descriptive approach paired with directed content analysis to analyze video-recorded telePC consultations. Results: Nine video-recorded telePC consultations were analyzed including 9 patients and 6 palliative care clinicians. Patient-participants had a mean age of 68 years, 56 % were women, and 38 % did not complete high school. Mean consultation duration was 52 min (standard deviation 10, range 40-70 min). Our qualitative analysis of visits resulted in three key themes describing clinician communication: 1) Practices for fostering human connection; 2) Practices for overcoming technical problems/difficulties; and 3) Practices for engaging in multi-participant tele-conversations. Conclusion: Our study findings help to provide proof-of-concept evidence that clinicians can use recommended in-person connection-building communication practices in telePC. As palliative care clinicians naturally adapt to telehealth environments, more empirical research is needed to understand which innovative approaches most effectively foster human connection. Innovation: TelePC represents an expanding, yet understudied, mode of palliative care delivery. This study is among the first to describe how the telePC context is catalyzing naturally-occurring communication innovations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.