- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02577198
Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital (CODES)
January 27, 2017 updated by: Istituto Ortopedico Galeazzi
Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital
Computerized decision support systems (CDSSs) are information technology-based software that provide health professionals with actionable, patient-specific recommendations or guidelines for disease diagnosis, treatment, and management at the point-of-care.
CDSSs may be integrated with patient electronic health records (EHRs) and evidence-based knowledge.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
The investigators designed a pragmatic randomized controlled trial to evaluate the effectiveness of patient-specific, point-of-care reminders on clinical practice and the quality of care.
The investigators hypothesize that these reminders can increase clinician adherence to guidelines and, eventually, improve the quality of care offered to hospitalized patients.
The results of the investigators study will contribute to the current understanding of the effectiveness of CDSSs in primary care and hospital settings.
Study Type
Interventional
Enrollment (Actual)
6479
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Lombardia
-
Vimercate, Lombardia, Italy
- Ospedale di Vimercate
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
All of the patients admitted into the internal medicine departments of the Azienda Ospedaliera di Desio e Vimercate during the study period.
Exclusion Criteria:
None
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Intervention
Electronic Health Records with computerised decision support system activated Medilogy Decision Support System (MediDSS)
|
Italian translation of Evidence-Based Medicine electronic Decision Support (EBMeDS), a set of rules (scripts) based on Evidence Based Medicine guidelines and applied to structured health data.
MediDSS further includes knowledge from Swedish, Finnish, INteraction X-referencing (SFINX), a drug-drug interaction database containing concise evidence-based information of about 18,000 drug interactions and adverse events.
MediDSS is integrated with local reminders.
|
|
Other: Control
Electronic Health Records with computerised decision support system silenced Medilogy Decision Support System (MediDSS) silenced
|
Italian translation of Evidence-Based Medicine electronic Decision Support (EBMeDS), a set of rules (scripts) based on Evidence Based Medicine guidelines and applied to structured health data.
MediDSS further includes knowledge from Swedish, Finnish, INteraction X-referencing (SFINX), a drug-drug interaction database containing concise evidence-based information of about 18,000 drug interactions and adverse events.
MediDSS is integrated with local reminders.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Resolution rates
Time Frame: 12 months
|
Rate at which the medical problems, which are detected by the MediDSS software and reported through the reminders, are resolved (resolution rates).
|
12 months
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
in-hospital mortality
Time Frame: 12 months
|
12 months
|
|
length of hospital stay
Time Frame: 12 months
|
12 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Pasquale Lorenzo Moja, MD, PhD, Unità di Epidemiologia Clinica, IRCCS Istituto Ortopedico Galeazzi, Milano
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Moja L, Kwag KH, Lytras T, Bertizzolo L, Brandt L, Pecoraro V, Rigon G, Vaona A, Ruggiero F, Mangia M, Iorio A, Kunnamo I, Bonovas S. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and meta-analysis. Am J Public Health. 2014 Dec;104(12):e12-22. doi: 10.2105/AJPH.2014.302164. Epub 2014 Oct 16.
- Moja L, Liberati EG, Galuppo L, Gorli M, Maraldi M, Nanni O, Rigon G, Ruggieri P, Ruggiero F, Scaratti G, Vaona A, Kwag KH. Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study. Implement Sci. 2014 Aug 28;9:105. doi: 10.1186/s13012-014-0105-0.
- Liberati EG, Galuppo L, Gorli M, Maraldi M, Ruggiero F, Capobussi M, Banzi R, Kwag K, Scaratti G, Nanni O, Ruggieri P, Polo Friz H, Cimminiello C, Bosio M, Mangia M, Moja L. [Barriers and facilitators to the implementation of computerized decision support systems in Italian hospitals: a grounded theory study]. Recenti Prog Med. 2015 Apr;106(4):180-91. doi: 10.1701/1830.20032. Italian.
- Moja L, Polo Friz H, Capobussi M, Kwag K, Banzi R, Ruggiero F, Gonzalez-Lorenzo M, Liberati EG, Mangia M, Nyberg P, Kunnamo I, Cimminiello C, Vighi G, Grimshaw J, Bonovas S. Implementing an evidence-based computerized decision support system to improve patient care in a general hospital: the CODES study protocol for a randomized controlled trial. Implement Sci. 2016 Jul 7;11(1):89. doi: 10.1186/s13012-016-0455-x.
- Moja L, Polo Friz H, Capobussi M, Kwag K, Banzi R, Ruggiero F, Gonzalez-Lorenzo M, Liberati EG, Mangia M, Nyberg P, Kunnamo I, Cimminiello C, Vighi G, Grimshaw JM, Delgrossi G, Bonovas S. Effectiveness of a Hospital-Based Computerized Decision Support System on Clinician Recommendations and Patient Outcomes: A Randomized Clinical Trial. JAMA Netw Open. 2019 Dec 2;2(12):e1917094. doi: 10.1001/jamanetworkopen.2019.17094.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 1, 2015
Primary Completion (Actual)
December 1, 2016
Study Completion (Actual)
January 1, 2017
Study Registration Dates
First Submitted
October 14, 2015
First Submitted That Met QC Criteria
October 15, 2015
First Posted (Estimate)
October 16, 2015
Study Record Updates
Last Update Posted (Estimate)
January 30, 2017
Last Update Submitted That Met QC Criteria
January 27, 2017
Last Verified
October 1, 2016
More Information
Terms related to this study
Other Study ID Numbers
- C41J11000110008
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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