Automated Clinical Reminders in the Care of Chronic Kidney Disease Patients

NCT ID: NCT00688285

Last Updated: 2011-03-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

248 participants

Study Classification

INTERVENTIONAL

Study Start Date

2008-12-31

Study Completion Date

2009-12-31

Brief Summary

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To determine whether the use of educational sessions and computerized clinical reminders can improve primary care doctors' delivery of care to CKD patients compared to educational sessions alone. Hypothesis: Clinical reminders will improve the care delivered to CKD patients

Detailed Description

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Literature supports that most chronic kidney disease (CKD) patients are cared for by primary care physicians (PCP) without the help of a kidney specialist. Many of these patients fail to achieve targeted outcomes and late referral to a nephrologist has been associated with an increased risk of death. Automated computerized clinical reminders have been shown to improve physician compliance with recommended guidelines in other settings.

Aims: To determine if clinical reminders can help PCPs decrease the rate of late referrals, improve urine albumin checks in CKD patients

Design: prospective randomized controlled, single-blinded study with additional historical control

Methods: Two 20-minute teaching sessions aimed at all GIM PCPs in the UPMC clinic followed by randomization of the eligible GIM providers to receive automated clinical reminders (CR) for their CKD stage 3b-5 patients versus routine care.

Outcomes: Using a database search, individuals with an eGFR\<45ml/min/1.73m2 (not seen by a nephrologist) will have data collected on: PCP referral to a nephrologist, urinary albumin (or protein) quantification in the past year, PCP recognition of patients with eGFR\<45ml/min, ACE/ARB usage.

Conditions

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Chronic Kidney Disease

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

HEALTH_SERVICES_RESEARCH

Blinding Strategy

SINGLE

Outcome Assessors

Study Groups

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1

education and automated clinical alerts

Group Type ACTIVE_COMPARATOR

automated clinical alerts

Intervention Type OTHER

automated clinical alerts in the electronic medical record

provider education

Intervention Type OTHER

PCP education session on CKD

2

education session alone

Group Type ACTIVE_COMPARATOR

provider education

Intervention Type OTHER

PCP education session on CKD

Interventions

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automated clinical alerts

automated clinical alerts in the electronic medical record

Intervention Type OTHER

provider education

PCP education session on CKD

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* For PCPs: all GIM attending physicians with a weekly continuity clinic.
* For patients: \>= 18 years-old with an eGFR\<45ml/min/1.73m2 being seen in the UPMC GIM clinic by a faculty member during the 10-month intervention period

Exclusion Criteria

* for PCPs: imminent plans to leave the department
* patients with a renal transplant, on any form of dialysis, or with a previous nephrology evaluation.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Pittsburgh

OTHER

Sponsor Role lead

Responsible Party

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University of Pittsburgh

Principal Investigators

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Khaled Abdel-Kader, MD

Role: PRINCIPAL_INVESTIGATOR

University of Pittsburgh

Mark Unruh, MD, MSc

Role: PRINCIPAL_INVESTIGATOR

University of Pittsburgh

Locations

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University of Pittsburgh

Pittsburgh, Pennsylvania, United States

Site Status

Countries

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United States

References

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Abdel-Kader K, Fischer GS, Li J, Moore CG, Hess R, Unruh ML. Automated clinical reminders for primary care providers in the care of CKD: a small cluster-randomized controlled trial. Am J Kidney Dis. 2011 Dec;58(6):894-902. doi: 10.1053/j.ajkd.2011.08.028. Epub 2011 Oct 7.

Reference Type DERIVED
PMID: 21982456 (View on PubMed)

Other Identifiers

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PRO07110299

Identifier Type: -

Identifier Source: org_study_id

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