[show abstract][hide abstract] ABSTRACT: OBJECTIVE: To evaluate the psychometric properties of the Taiwan Chinese Version of the EORTC QLQ-PR25 health-related quality of life (HRQOL) questionnaire for patients with prostate cancer. METHODS: 135 prostate cancer patients were recruited in the urology outpatient clinic of a university teaching hospital. Each patient completed the EORTC QLQ-PR25 at every clinic visit between 2004 and 2008, totaling 633 assessments. Confirmatory factor analysis and Rasch analysis were used to evaluate the domain- and item-level psychometric properties. RESULTS: The results supported the unidimensionality of each of the four EORTC QLQ-PR25 domains (urinary, bowel, and hormonal-treatment-related symptoms, and sexual functioning). Item calibrations for each domain were found invariant across the three assessment time periods. The item-person maps showed 71.3 % of item coverage for the urinary symptoms domain and 13--42.7 % for the other three domains. CONCLUSIONS: The Taiwan Chinese Version of the EORTC QLQ-PR25 questionnaire is reliable and can be used to measure HRQOL over time. Adding new items to each domain may improve its clinical content coverage and measurement precision.
Health and Quality of Life Outcomes 08/2012; 10(1):96. · 2.27 Impact Factor
[show abstract][hide abstract] ABSTRACT: A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications.
We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment.
The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians.
Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases.
BMC Medical Informatics and Decision Making 03/2011; 11:16. · 1.60 Impact Factor
[show abstract][hide abstract] ABSTRACT: The aim of this study was to establish a real time online health and decision support system with the novel information technology integrating modelized architecture and Web services for clinical infometrics on patient reported outcome (PRO) and quality of life (QOL) for prostate cancer patients.
The patient-oriented interface was practiced with object relation mapping (ORM) and clinical data warehouse to collaborate QOL measurement and medical informatics through internet by incorporating a variety of hospital information systems. The conceptual infrastructure was designed by five primary layers to organize the data flow of online assessment and clinical data for real-time decision support.
A preliminary knowledge bank was formed by feedback of expert opinions to provide online guidance for decision references. Observation and assessment of prostate cancer patients' QOL and clinical markers were immediately tracked with automatic computation algorithm to improve health care quality in the treatment cycle.
The established Web-based system can help clinicians concurrently collect and analyze real-time PROs and QOL for enhancing communication with patients and improving the quality of care.
Computer methods and programs in biomedicine 11/2010; 106(3):249-59. · 1.14 Impact Factor