Evidence map›Paper›PMID 30019159›Full record

ReviewSchmerz (Berlin, Germany)2018

[painApp-mobile pain monitoring in the home care setting].

A Ewers, I Gnass

Abstract readReview
PubMed Publisher
In one paragraph

Review in Schmerz (Berlin, Germany), 2018. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. [Pain and ageing].Zeitschrift fur Gerontologie und Geriatrie · 2018
    Article
  4. [The actual task].Schmerz (Berlin, Germany) · 2018
    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

2 authors.

A EwersInstitut für Pflegewissenschaft und -praxis, Paracelsus Medizinische Privatuniversität Salzburg, Strubergasse 21, 5020, Salzburg, Österreich. andre.ewers@pmu.ac.at.
I GnassInstitut für Pflegewissenschaft und -praxis, Paracelsus Medizinische Privatuniversität Salzburg, Strubergasse 21, 5020, Salzburg, Österreich.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of a scientifically developed App for pain management in the home care setting is not yet established in Germany. The documentation of pain-specific data by the patients and the transfer into a web portal to be examined by the attending physician can help close the existing communication gap in pain management between consultations.

objectivesThe aim of the study was to develop a mobile health (mHealth) solution for optimizing pain management in the home care setting. The research questions focus on design and technical issues concerning layout and navigation of the painApp as well as user-relevant questions concerning pain management, such as pain at rest and pain during movement, taking pain medication and patient satisfaction with their pain situation. MATERIALS AND

methodsWithin a 12-month period, the user-centered development and practice-based testing of the application painApp involved patients aged ≥ 65 years. Within a formative evaluation, a total of four data collections and a final survey took place. During the same period, a web portal was developed and tested the documentation of the patient pain-specific data from the painApp with the participation of general practitioners. RESULTS AND

conclusionsThe development of the painApp as a prototype was realized in the study with high acceptability by the patients. The painApp is able to establish digital communication with the general practitioner without any technical problems and allows the physician access to patient data in real time.

Indexed as

Home Care ServicesTelemedicineAgedGermanyHumansPainPatient SatisfactionGeneral practitionermHealthOlder adultsPainPainApp

Identifiers

What OpenQuestion holds

Textmetadata
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.