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.
연구 개요
상세 설명
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.
연구 유형
등록 (예상)
단계
- 해당 없음
연락처 및 위치
연구 장소
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St. Gallen, 스위스, CH-9000
- University of St. Gallen, Institute of Information Managemen
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Zurich, 스위스, CH-8091
- University Hospital Zurich, Department of Surgery
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
설명
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
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 주 목적: 건강 서비스 연구
- 할당: 무작위
- 중재 모델: 단일 그룹 할당
- 마스킹: 없음(오픈 라벨)
무기와 개입
참가자 그룹 / 팔 |
개입 / 치료 |
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활성 비교기: 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
다른 이름들:
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실험적: 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
다른 이름들:
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연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Evaluation score
기간: 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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2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Recruitment rate
기간: 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
기간: 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
기간: 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
기간: 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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공동 작업자 및 조사자
수사관
- 수석 연구원: Dimitri A Raptis, MD, MSc, University Hospital Zurich, Department of Surgery
- 수석 연구원: Rolf Graf, PhD, University Hospital Zurich, Department of Surgical Research
간행물 및 유용한 링크
일반 간행물
- 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.
연구 기록 날짜
연구 주요 날짜
연구 시작
기본 완료 (예상)
연구 완료 (예상)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (추정)
연구 기록 업데이트
마지막 업데이트 게시됨 (추정)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
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