Evidence map›Paper›PMID 31778114›Full record

ArticleJMIR research protocols2019

Development of an Early Warning System to Prevent Crises in the Palliative Home Care Setting of Patients and Their Informal Caregivers: Protocol for a Mixed Method Study.

André Fringer, Eleonore Arrer, Edith Maier, Wilfried Schnepp, Tom Ulmer

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Factors Related to Family Caregivers' Readiness for the Hospital Discharge of Advanced Cancer Patients.International journal of environmental research and public health · 2022
    Article
  4. Toward Modernization of Geriatric Oncology by Digital Health Technologies.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2020
    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

5 authors at 2 institutions in 2 countries.

André FringerResearch Unit Nursing Science, Institute of Nursing, Department of Health, Zurich University of Applied Sciences, Winterthur, Switzerland.ORCID https://orcid.org/0000-0003-4950-7788
Eleonore ArrerInstitute of Applied Nursing Science, FHS St Gallen, University of Applied Sciences, St Gallen, Switzerland.ORCID https://orcid.org/0000-0001-8995-9872
Edith MaierInstitute for Information and Process Management, FHS St Gallen, University of Applied Sciences, St Gallen, Switzerland.ORCID https://orcid.org/0000-0002-4015-8975
Wilfried SchneppDepartment of Nursing Science, Faculty of Health, Witten/Herdecke University, Witten, Germany.ORCID https://orcid.org/0000-0001-7856-7224
Tom UlmerInstitute for Information and Process Management, FHS St Gallen, University of Applied Sciences, St Gallen, Switzerland.ORCID https://orcid.org/0000-0003-0788-0357
University of Applied Sciences St. Gallen · CHWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost people wish to die at home, but most people in Switzerland die in hospitals or nursing homes. Family caregivers often offer support so patients with palliative care needs can stay at home for as long as possible. However, crises and unplanned hospital admissions often occur in this setting because of family caregiver strain and symptom severity in patients. The so-called smart devices such as wearables or smartphones offer the opportunity to continuously monitor certain parameters and recording symptom deteriorations. By providing professionals with this information in a timely manner, crises in the home could be avoided.

objectiveThe aim of this interdisciplinary study is to explore the symptom burden of people with palliative care needs who are cared for at home and to understand the development of crises in the home care setting. On the basis of the findings from this study, we will develop an early warning system to stabilize the home care situation and to prevent critical events from happening, thereby reducing avoidable hospitalizations.

methodsA mixed method study is being conducted consisting of 4 main consecutive phases: (1) developing the monitoring system; (2) pretesting the system and adapting it to user needs; (3) conducting the study in the palliative home care setting with approximately 40 patients; and (4) distinguishing symptom patterns from the collected data specific to crisis emergence, followed by the development of an early warning system to prevent such crises. In study phase 3, each patient will receive an upper arm sensor and a symptom diary to assess symptom burden related to patients and family caregivers. A within-case analysis will be conducted for each patient's situation followed by a cross-case comparison to identify certain symptom patterns that may predict symptom deterioration (study phase 4).

resultsThe collaboration with the local mobile palliative care team for participant recruitment and data collection has been established. Recruitment is forthcoming.

conclusionsWe expect the findings of this study to provide holistic insight into symptom burden and the well-being of patients with palliative care needs and of their family caregivers. This information will be used to develop an early warning system to avoid the occurrence of potential crises, thereby improving palliative care provision at home. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/13933.

Indexed as

eHealthfamily caregiversoutpatient carepalliative care

Identifiers

PMID31778114
PMCPMC6908972
OpenAlexW2971947146

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.