Evidence map›Paper›PMID 28814378›Full record

ArticleJMIR research protocols2017

mHealth Technologies for Palliative Care Patients at the Interface of In-Patient to Outpatient Care: Protocol of Feasibility Study Aiming to Early Predict Deterioration of Patient's Health Status.

Gudrun Theile, Vanessa Klaas, Gerhard Tröster, Matthias Guckenberger

Abstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Mobile applications in radiation oncology-current choices and future potentials.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Do mHealth applications improve clinical outcomes of patients with cancer? A critical appraisal of the peer-reviewed literature.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Review
  10. Article
  11. 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

4 authors.

Gudrun TheileClinic of Radiation-Oncology, Competence Center Palliative Care, University Hospital Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9454-3617
Vanessa KlaasWearable Computing Laboratory, Swiss Federal Institute of Technology, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-5484-4354
Gerhard TrösterWearable Computing Laboratory, Swiss Federal Institute of Technology, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9278-1638
Matthias GuckenbergerClinic of Radiation-Oncology, Competence Center Palliative Care, University Hospital Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-7146-9071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPalliative care patients are a particularly vulnerable population and one of the critical phases in patients' trajectories is discharge from specialized in-patient palliative care into outpatient care, where availability of a palliative care infrastructure is highly variable. A relevant number of potentially avoidable readmissions and emergency visits of palliative patients is observed due to rapid exacerbation of symptoms indicating the need for a closer patient monitoring. In the last years, different mHealth technology applications have been evaluated in many different patient groups.

objectiveThe aim of our study is to test feasibility of a remote physical and social tracking system in palliative care patients.

methodsA feasibility study with explorative, descriptive study design, comprised of 3 work packages. From the wards of the Clinic of Radiation-Oncology at the University Hospital Zurich, including the specialized palliative care ward, 30 patients will be recruited and will receive a mobile phone and a tracking bracelet before discharge. The aim of work package A is to evaluate if severely ill patients accept to be equipped with a tracking bracelet and a mobile phone (by semiquantitative questionnaires and guideline interviews). Work package B evaluates the technical feasibility and quality of the acquired electronic health data. Work package C will demonstrate whether physical activity parameters, such as step count, sleep duration, social activity patterns like making calls, and vital signs (eg, heart rate) do correlate with subjective health data and can serve as indicator to early detect and predict changes in patients' health status. Activity parameters will be extracted from the mobile phone's and wristband's sensor data using signal processing methods. Subjective health data is captured via electronic version of visual analog scale and Distress Thermometer as well as the European Organization for Research and Treatment of Cancer - Quality of Life Questionnaire C30 in paper version.

resultsEnrollment began in February 2017. First study results will be reported in the middle of 2018.

conclusionsOur project will deliver relevant data on patients' acceptance of activity and social tracking and test the correlation between subjective symptom assessment and objective activity in the vulnerable population of palliative care patients. The proposed study is meant to be preparatory work for an intervention study to test the effect of wireless monitoring of palliative care patients on symptom control and quality of life.

Indexed as

agedhospitalizationmobile appspainpalliative caresymptom assessment

Identifiers

PMID28814378
PMCPMC5577455

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.