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Comparing Effects of Patient-specific Versus Non-patient-specific Computerized Reminder System

Randomized Controlled Trial: Comparing Effects of Patient-Specific Versus Non-Patient-Specific Computerized Reminder System to Reduce Contrast-Induced Nephropathy

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01778140
Enrollment
90
Registered
2013-01-29
Start date
2012-01-31
Completion date
2013-08-31
Last updated
2013-02-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Radiographic Contrast Agent Nephropathy

Keywords

Clinical Decision Support Systems, Contrast-induced nephropathy

Brief summary

The investigators hypothesize that a Clinical Decision Support System (CDSS) designed with Patient-Specific reminders yields superior performance than that with Non-patient-specific reminders in preventing contrast-induced nephropathy.

Detailed description

We hypothesize that a clinical decision support system (CDSS) designed with Patient-specific reminders yields superior performance than that with Non-patient-specific reminders in preventing contrast-induced nephropathy. A 3-arm randomized controlled trial (RCT) will be performed by cluster randomization using physicians as the unit of allocation. Physicians in 3 university medical centers will be randomly assigned into 1) patient-specific arm with Anti Contrast-Induced-Nephropathy(Anti-CIN) reminder, 2) non-patient-specific reminder arm, and 3) the control arm without any reminders, respectively. The patient-specific alert, Anti-CIN system, is designed as a real-time CDSS implementation on CPOE for monitoring physician's contrast-enhanced CT and IVP orders. Computerized pop-up reminders provide the patient-specific encounters with optimal decision options when patients are at a high CIN risk or patients with unknown risk factors are encountered. Non-patient-specific reminders always pop up no matter whether the patient is at a high risk or not.

Interventions

OTHERPatient-specific computerized reminder

The intervention targets are physicians,not patients. This CDSS alerts physicians only when the patient with high risk of contrast-induced-nephropathy(CIN) is encountered. On the contrast, the CDSS will not alert when the patient without CIN risk is encountered.

OTHERNon-patient-specific computerized reminder

The non-patient-specific computerized reminder always pops up to remind physicians to check their patient's CIN risk no matter what CIN risk is.

Sponsors

National Science and Technology Council, Taiwan
CollaboratorOTHER_GOV
Taipei Medical University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
25 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

* Our intervention targets are physicians but not patients. All physicians working in the hospital may join this trial.

Exclusion criteria

* The physician who never orders a CT scan or IVU study will be excluded * The physician who never operates the CPOE by himself or herself will be excluded

Design outcomes

Primary

MeasureTime frameDescription
The percentage of contrast-enhanced imaging(CEI) orders with high CIN riskPhysicains who participated in this trial will be followed for an expected average of 12 monthsThe number of CEI ordered for patients at high CIN risk, divided by the total number of CEI orders. \[CEI\]: contrast-enhanced image studies,such as CT or IVU. \[CIN\]: contrast-induced nephropathy

Secondary

MeasureTime frameDescription
The order elimination rate of high CIN risk orders attributed to the computerized reminderPhysicains who participated in this trial will be followed for an expected average of 12 monthsThe number of CEI orders with high CIN risk cancelled by the physician attributed to our computerized reminder, divided by the total number of CEI orders with high CIN risk.

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026