Desktop Versus Mobile Data Collection in Clinical Trial
Desktop vs. Mobile Data Collection in a Prospective Multicenter Clinical Trial
Paper-based data collection for prospective clinical trials is associated with a poor quality of data collection. This typically involves missing or wrong data entry or a low recruitment rate, mainly due to the cumbersome and uncontrolled data collection.
Electronic data collection is associated with improved quality of data entry in the cases of Electronic Patient Records (EPR) and patient handover among doctors during night and day shifts. However, a comprehensive direct comparison between web-based desktop personal computer (PC) and mobile (e.g. iPad) data collection has not yet been reported.
The purpose of this prospective trial is to compare the users' experience with the web-based desktop PC and mobile data collection (iPad) tools.
Aperçu de l'étude
Statut
Les conditions
Intervention / Traitement
Description détaillée
The investigators designed a prospective randomized controlled trial where doctors from several randomly selected hospitals will use either a desktop PC or mobile (iPad) data collection tool. A validated user experience evaluation instrument will be used at the beginning, during interim analysis and at the end of the trial.
The desktop-based data collection is built on Drupal, a renowned open source content management system (CMS). The same CMS will be used with a special interface designed for iOS/iPad. Both data collection platforms will be used in parallel to a prospective clinical trial.
Type d'étude
Inscription (Anticipé)
Phase
- N'est pas applicable
Contacts et emplacements
Lieux d'étude
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St. Gallen, Suisse, CH-9000
- University of St. Gallen, Institute of Information Managemen
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Zurich, Suisse, CH-8091
- University Hospital Zurich, Department of Surgery
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Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
Accepte les volontaires sains
Sexes éligibles pour l'étude
La description
Inclusion Criteria:
- Emergency Room doctors
- Surgeons
- Agree to participate in the trial
- Provide informed consent
- Have basic information technology literacy
- Agree to receive brief training of the platform
Exclusion Criteria:
- Clinicians and health care professionals not part of this trial
- Lacking of basic information technology literacy
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Recherche sur les services de santé
- Répartition: Randomisé
- Modèle interventionnel: Affectation à un seul groupe
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
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Comparateur actif: Desktop PC
Conventional institutional Desktop Personal Computers will be used to collect data of patients via a password protected encrypted interface.
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A validated user experience evaluation questionnaire will be completed by each participant in the beginning, at the interim period, and at the end of the trial
Autres noms:
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Expérimental: Mobile
Novel Mobile Clinical Trial Management System on iPads will be used to collect data of patients via a password protected encrypted interface.
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A validated user experience evaluation questionnaire will be completed by each participant in the beginning, at the interim period, and at the end of the trial
Autres noms:
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
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Evaluation score
Délai: 2 years
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A validated user experience and evaluation instrument will be used. The overall score will be compared between the Desktop PC and Mobile (iPad) data collection tools. PC: indicates Personal Computer |
2 years
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Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
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Recruitment rate
Délai: 2 years
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The recruitment rate is defined as the proportion of patients recruited divided by the total number of patients recruited + patients missed: (rate=recruited/(recruited+missed). The recruitment rates will be compared between the Desktop PC and Mobile (iPad) data collection tools. PC: indicates Personal Computer |
2 years
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Cost-effectiveness analysis
Délai: 2 years
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Cost-effectiveness analysis (CEA) is a form of economic analysis that compares the relative costs and outcomes (effects) of two or more courses of action. CEA assigns a monetary value to the measure of effect. Typically the CEA is expressed in terms of a ratio where the denominator is a gain from a measure and the numerator is the cost associated with this gain. In this study, CEA will be calculated as: (ratio=costs/evaluation score) and (ratio=costs/recruitment rate). |
2 years
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Cost-benefit analysis
Délai: 2 years
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Cost-benefit analysis (CBA) is a systematic process for calculating and comparing benefits and costs of a project for two purposes; in order to determine if it is a sound investment (justification/feasibility), and to see how it compares with alternate projects (ranking/priority assignment).
It involves comparing the total expected cost of each option against the total expected benefits, to see whether the benefits outweigh the costs, and by how much.
In CBA, benefits and costs are expressed in money terms, and are adjusted for the "time value of money".
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2 years
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Cost-utility analysis
Délai: 2 years
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Cost-utility analysis (CUA) is a form of financial analysis used to guide procurement decisions.
The most common and well-known application of this analysis is in health technology assessment.
Cost is measured in monetary units.
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2 years
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Collaborateurs et enquêteurs
Parrainer
Les enquêteurs
- Chercheur principal: Dimitri A Raptis, MD, MSc, University Hospital Zurich, Department of Surgery
- Chercheur principal: Rolf Graf, PhD, University Hospital Zurich, Department of Surgical Research
Publications et liens utiles
Publications générales
- Raptis DA, Mettler T, Tzanas K, Graf R. A novel open-source web-based platform promoting collaboration of healthcare professionals and biostatisticians: a design science approach. Inform Health Soc Care. 2012 Jan;37(1):22-36. doi: 10.3109/17538157.2011.590257. Epub 2011 Oct 19.
- Raptis DA, Fernandes C, Chua W, Boulos PB. Electronic software significantly improves quality of handover in a London teaching hospital. Health Informatics J. 2009 Sep;15(3):191-8. doi: 10.1177/1460458209337431.
- Mirani R, Lederer A. An Instrument for Assessing the Organizational Benefits of IS projects. Decision Sciences, Vol. 29, No. 4, 1998, 803-838.
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude
Achèvement primaire (Anticipé)
Achèvement de l'étude (Anticipé)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Estimation)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Estimation)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Autres numéros d'identification d'étude
- PSP_Appendix_2
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