Evidence map›Paper›PMID 23209453›Full record

ArticlePerspectives in health information managemen2012

Health information: what can mobile phone assessments add?

Margareta Warrén Stomberg, Birgitta Platon, Annette Widén, Ingegerd Wallner, Ove Karlsson

Open access · greenAbstract read
In one paragraph

Article in Perspectives in health information managemen, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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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 1 institution in 1 country.

Margareta Warrén StombergUniversity of Gothenburg/Sahlgrenska Academy, Gothenburg, Sweden.
Birgitta Platon
Annette Widén
Ingegerd Wallner
Ove Karlsson
University of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In healthcare, pain assessment is a key factor in effectively treating postoperative pain and reducing the risk of developing chronic pain. The overall aim of this study was to investigate whether a mobile phone support system can be used as a basis to continuously document patients' health information in real time and provide conditions for optimal, individual pain management after cholecystectomy and hysterectomy procedures.In this pilot study, two randomly selected groups of patients provided information about their pain for one week postoperatively. One group responded via cell phones, and the other, a control group, responded using paper-based questionnaires.The mobile phone system was found to provide a fast and safe basis for reporting pain postoperatively in real time. The results indicate that on days 3 and 4 the mobile phone group reported significantly higher levels of pain than the control group, and the cholecystectomy patients reported significantly more pain at movement on days 3 and 4 than the hysterectomy patients.The mobile phone approach is an adaptation to modern technology and the mobility of individuals. This technology is user friendly and requires minimal support. However, as the sample size was small (n = 37), further studies are needed before additional conclusions can be drawn.

Indexed as

Cell PhoneAdultCholecystectomyFemaleHospitals, UniversityHumansHysterectomyMaleMiddle AgedPain ManagementPain MeasurementPilot ProjectsSelf ReportSoftwareSwedenmobile technologypain management

Identifiers

PMID23209453
PMCPMC3510647
OpenAlexW1593967209

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.