ArticleHead & neck oncology2012
A decision support system for quality of life in head and neck oncology patients.
Article in Head & neck oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Performance of the EORTC questionnaire for the assessment of quality of life in head and neck cancer patients EORTC QLQ-H&N35: a methodological review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2013Pooled it
- A Clinical Decision Support System for the Prediction of Quality of Life in ALS.Journal of personalized medicine · 2022Article
- Changes in Oral Function and Quality of Life in Tongue Cancer Patients Based on Resected Area.Asian Pacific journal of cancer prevention : APJCP · 2021Article
- Quality of life after total laryngectomy: impact of different vocal rehabilitation methods in a middle income country.Health and quality of life outcomes · 2020Observational
- Acute Stage Longitudinal Change of Quality of Life from Pre- to 3 Months after Surgical Treatment in Head and Neck Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2019Article
- Maturity Assessment Methodology for HISMM - Hospital Information System Maturity Model.Journal of medical systems · 2019Article
- Development and Validation of a Health and Work Survey Based on the Rasch Model among Portuguese Workers.Journal of medical systems · 2017Article
- A Clinical Support System Based on Quality of Life Estimation.Journal of medical systems · 2015Article
- Towards an Encompassing Maturity Model for the Management of Hospital Information Systems.Journal of medical systems · 2015Article
- Quality of life of patients with head and neck cancer.Brazilian journal of otorhinolaryngologyArticle
Corrections and comments
- Expression of concern
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe assessment of Quality of Life (QoL) is a Medical goal; it is used in clinical research, medical practice, health-related economic studies and in planning health management measures and strategies. The objective of this project is to develop an informational platform to achieve a patient self-assessment with standardized QoL measuring instruments, through friendly software, easy for the user to adapt, which should aid the study of QoL, by promoting the creation of databases and accelerating its statistical treatment and yet generating subsequent useful results in graphical format for the physician analyzes in an appointment immediately after the answers collection.
methodsFirst, a software platform was designed and developed in an action-research process with patients, physicians and nurses. The computerized patient self-assessment with standardized QoL measuring instruments was compared with traditional one, to verify if its use did not influence the patient's answers. For that, the Wilcoxon and t-Student tests were applied. After, we adopted and adapted the mathematic Rash model to make possible the use of QoL measure in the routine appointments.
resultsThe results show that the computerized patient self-assessment does not influence the patient's answers and can be used as a suitable tool in the routine appointment, because indicates problems which are more difficult to identify in a traditional appointment, improving thus the physician's decisions.
conclusionsThe possibility of representing graphically useful results that physician needs to analyze in the appointment, immediately after the answer collection, in an useful time, makes this QoL assessment platform a diagnosis instrument ready to be used routinely in clinical practice.
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