Evidence map›Paper›PMID 38717378›Full record

ArticleJMIR medical informatics2024

An Electronic Health Record-Integrated Application for Standardizing Care and Monitoring Patients With Autosomal Dominant Polycystic Kidney Disease Enrolled in a Tolvaptan Clinic: Design and Implementation Study.

Maroun Chedid, Fouad T Chebib, Erin Dahlen, Theodore Mueller, Theresa Schnell, Melissa Gay, Musab Hommos, Sundararaman Swaminathan, Arvind Garg, Michael Mao and 9 more

Abstract read
In one paragraph

Article in JMIR medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Maroun ChedidHennepin Healthcare, Minneapolis, MN, United States.ORCID http://orcid.org/0009-0001-2604-1121
Fouad T ChebibDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, FL, United States.ORCID http://orcid.org/0000-0002-3949-5720
Erin DahlenDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0004-3072-2773
Theodore MuellerDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0000-0238-4202
Theresa SchnellDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.
Melissa GayDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0002-3749-3980
Musab HommosDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Scottsdale, AZ, United States.ORCID http://orcid.org/0000-0003-2697-4463
Sundararaman SwaminathanDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Scottsdale, AZ, United States.ORCID http://orcid.org/0000-0003-4773-141X
Arvind GargDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, LaCrosse, WI, United States.ORCID http://orcid.org/0000-0003-4759-1576
Michael MaoDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, FL, United States.ORCID http://orcid.org/0000-0003-1814-7003
Brigid AmbergDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0004-0184-5803
Kirk BalderesDivision of Information Technology, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0004-6755-7046
Karen F JohnsonDivision of Information Technology, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0001-5260-272X
Alyssa BishopDivision of Information Technology, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0000-0580-4110
Jackqueline Kay VaughnDivision of Information Technology, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0009-0008-2535-4119
Marie HoganDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0000-0003-3031-8522
Vicente TorresDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0000-0003-2008-1576
Rajeev ChaudhryDivision of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0000-0003-1249-5656
Ziad ZoghbyDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.ORCID http://orcid.org/0000-0002-8734-9699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tolvaptan is the only US Food and Drug Administration-approved drug to slow the progression of autosomal dominant polycystic kidney disease (ADPKD), but it requires strict clinical monitoring due to potential serious adverse events. Objective: We aimed to share our experience in developing and implementing an electronic health record (EHR)-based application to monitor patients with ADPKD who were initiated on tolvaptan. Methods: The application was developed in collaboration with clinical informatics professionals based on our clinical protocol with frequent laboratory test monitoring to detect early drug-related toxicity. The application streamlined the clinical workflow and enabled our nursing team to take appropriate actions in real time to prevent drug-related serious adverse events. We retrospectively analyzed the characteristics of the enrolled patients. Results: As of September 2022, a total of 214 patients were enrolled in the tolvaptan program across all Mayo Clinic sites. Of these, 126 were enrolled in the Tolvaptan Monitoring Registry application and 88 in the Past Tolvaptan Patients application. The mean age at enrollment was 43.1 (SD 9.9) years. A total of 20 (9.3%) patients developed liver toxicity, but only 5 (2.3%) had to discontinue the drug. The 2 EHR-based applications allowed consolidation of all necessary patient information and real-time data management at the individual or population level. This approach facilitated efficient staff workflow, monitoring of drug-related adverse events, and timely prescription renewal. Conclusions: Our study highlights the feasibility of integrating digital applications into the EHR workflow to facilitate efficient and safe care delivery for patients enrolled in a tolvaptan program. This workflow needs further validation but could be extended to other health care systems managing chronic diseases requiring drug monitoring.

Indexed as

ADPKDautosomal dominant polycystic kidney diseasechronic diseasedigital applicationdigital health solutionsdrug-related toxicityEHRelectronic health recordkidney diseasemanagementmonitoringpolycystic kidney diseasetolvaptan

Identifiers

PMID38717378
PMCPMC11085039

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.