Evidence map›Paper›PMID 23140270›Full record

ArticleBMC medical informatics and decision making2012

The Computer-based Health Evaluation Software (CHES): a software for electronic patient-reported outcome monitoring.

Bernhard Holzner, Johannes M Giesinger, Jakob Pinggera, Stefan Zugal, Felix Schöpf, Anne S Oberguggenberger, Eva M Gamper, August Zabernigg, Barbara Weber, Gerhard Rumpold

2 registry-linked trialsAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 110 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing 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.

NCT02844608 naunknown statusnot on this mapstarted 2016, after this paper: background citation

Quality of Life Assessment in Routine Clinical Oncology Practice at the University Hospital of Besancon

TypeinterventionalSponsorCentre Hospitalier Universitaire de BesanconRan2016 to 2019Enrolled152ConditionsBreast Cancer, Colorectal Cancer, Lung CancerArmsQuality of Life Questionnaires
NCT04176809 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Impact of Routine Assessment of Health-Related Quality of Life Coupled With Therapeutic Information on Compliance With Endocrine Therapy in Patients With Non-metastatic Breast Cancer

TypeinterventionalSponsorCentre Georges Francois LeclercRan2021 to 2025Enrolled342ConditionsBreast CancerArmsRoutine Assessment of HRQoL coupled with Therapeutic Information
3 · Its place in the literature

Who cites it

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

  1. Barriers and facilitators for implementing patient-reported outcome measures in oncology practices: an umbrella review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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50 more citing papers are in PubMed but not listed here.

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

10 authors.

Bernhard HolznerDepartment of Psychiatry and Psychotherapy, Innsbruck Medical University, Anichstr, 35, Innsbruck A-6020, Austria. bernhard.holzner@uki.at
Johannes M Giesinger
Jakob Pinggera
Stefan Zugal
Felix Schöpf
Anne S Oberguggenberger
Eva M Gamper
August Zabernigg
Barbara Weber
Gerhard Rumpold

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-reported Outcomes (PROs) capturing e.g., quality of life, fatigue, depression, medication side-effects or disease symptoms, have become important outcome parameters in medical research and daily clinical practice. Electronic PRO data capture (ePRO) with software packages to administer questionnaires, storing data, and presenting results has facilitated PRO assessment in hospital settings. Compared to conventional paper-pencil versions of PRO instruments, ePRO is more economical with regard to staff resources and time, and allows immediate presentation of results to the medical staff.The objective of our project was to develop software (CHES - Computer-based Health Evaluation System) for ePRO in hospital settings and at home with a special focus on the presentation of individual patient's results.

methodsFollowing the Extreme Programming development approach architecture was not fixed up-front, but was done in close, continuous collaboration with software end users (medical staff, researchers and patients) to meet their specific demands. Developed features include sophisticated, longitudinal charts linking patients' PRO data to clinical characteristics and to PRO scores from reference populations, a web-interface for questionnaire administration, and a tool for convenient creating and editing of questionnaires.

resultsBy 2012 CHES has been implemented at various institutions in Austria, Germany, Switzerland, and the UK and about 5000 patients participated in ePRO (with around 15000 assessments in total). Data entry is done by the patients themselves via tablet PCs with a study nurse or an intern approaching patients and supervising questionnaire completion. DISCUSSION: During the last decade several software packages for ePRO have emerged for different purposes. Whereas commercial products are available primarily for ePRO in clinical trials, academic projects have focused on data collection and presentation in daily clinical practice and on extending cancer registries with PRO data. CHES includes several features facilitating the use of PRO data for individualized medical decision making. With its web-interface it allows ePRO also when patients are home. Thus, it provides complete monitoring of patients'physical and psychosocial symptom burden.

Indexed as

Outcome Assessment, Health CareSelf ReportSoftware DesignHumansUser-Computer Interface

Identifiers

PMID23140270
PMCPMC3529695

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.