Evidence map›Paper›PMID 39113031›Full record

ArticleBMC palliative care2024

Implementation of a digital distress detection system in palliative care: qualitative data on perspectives of a multiprofessional palliative care team.

Katharina Seibel, Claudia Lorena Orellana Rios, Titus Sparna, Carola Becker, Jan Gaertner, Gerhild Becker, Christopher Boehlke

Abstract read
In one paragraph

Article in BMC palliative care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Katharina SeibelDepartment of Palliative Medicine, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany. katharina.seibel@uniklinik-freiburg.de.
Claudia Lorena Orellana RiosDepartment of Palliative Medicine, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany.
Titus SparnaDepartment of Palliative Medicine, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany.
Carola BeckerDepartment of Palliative Medicine, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany.
Jan GaertnerCurrent address: Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.
Gerhild BeckerDepartment of Palliative Medicine, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany.
Christopher BoehlkeDepartment of Palliative Medicine, Faculty of Medicine, University Medical Center Freiburg, University of Freiburg, Freiburg, Germany. christopher.boehlke@unibas.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health technologies such as sensor systems are intended to support healthcare staff in providing adequate patient care. In the Department of Palliative Medicine (University Medical Center Freiburg), we developed and implemented a noninvasive, bed-based sensor system in a pilot study. The aim was to detect distress in patients who were no longer able to express themselves by monitoring heart and respiratory rates, vocalizations, and movement measurements. The sensor system was intended to supplement standard care, which generally cannot guarantee constant monitoring. As there is a lack of data on how healthcare professionals experience such a techno-digital innovation, the aim of this study was to explore how the multiprofessional palliative care team who piloted the sensor system perceived its potential benefits and limitations, and how they experienced the broader context of healthcare technology and research in palliative care.

methodsWe conducted a qualitative interview study with 20 members of the palliative care team and analyzed the recorded, verbatim transcribed interviews using qualitative content analysis.

resultsThe sensor system was described as easy to use and as helpful support for patients, care staff, and relatives, especially against the backdrop of demographic change. However, it could not replace human interpretation of stress and subsequent treatment decisions: this remained the expertise of the nursing staff. A potential reduction in personnel was expected to be a risk of a digital monitoring system. The special conditions of research and digital health technologies in an end-of-life context also became clear. Specifically, healthcare staff were open to health technologies if they benefited the patient and were compatible with professional nursing and/or palliative care attitudes. Additionally, a patient-protective attitude and possible interprofessional differences in priorities and the resulting challenges for the team became apparent.

conclusionsA potential digital solution for distress monitoring was considered useful by palliative care practitioners. However, interprofessional differences and compatibility with existing palliative care practices need to be considered before implementing such a system. To increase user acceptability, the perspectives of healthcare professionals should be included in the implementation of technological innovations in palliative care.

Indexed as

Palliative CareQualitative ResearchAdultFemaleHumansMaleMiddle AgedPatient Care TeamPilot ProjectsStress, PsychologicalDigital health technologiesDistressHealthcare workersPalliative careQualitative researchSensor systemSpecialist palliative care

Identifiers

PMID39113031
PMCPMC11304939

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.