Evidence map›Paper›PMID 42482200›Full record

ArticleBMC medical informatics and decision making2026

Provider perspectives of clinical decision support for chronic kidney disease management: a cross-sectional study.

Robert Goldberg, Henry Li, Cory E Goldstein, Kevin Yau, Shannon M Ruzycki, Maoliosa Donald, Meghan J Elliott, Brenda R Hemmelgarn, Matthew T James, Pietro Ravani and 4 more

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Article in BMC medical informatics and decision making, 2026. 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
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0citing papers in PubMed
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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

14 authors.

Robert GoldbergDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Henry LiFaculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Cory E GoldsteinMethodological and Implementation Research (MIR) Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Kevin YauDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Shannon M RuzyckiDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Maoliosa DonaldDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Meghan J ElliottDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Brenda R HemmelgarnFaculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Matthew T JamesDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Pietro RavaniDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Neesh PannuFaculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Derek ChewDepartment of Community Health Sciences, University of Calgary, Calgary, Canada.
Dilaram AcharyaDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Tyrone G HarrisonDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada. tgharris@ucalgary.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) affects approximately one in ten adults globally. Multiple studies have identified underuse of effective therapies in eligible patients with CKD despite guideline endorsement. Clinical decision support (CDS) may increase confidence in prescribing recommended medications, but how end-users perceive it is unknown.

objectivesTo evaluate clinician-reported perspectives and acceptability of CDS elements for ambulatory CKD management and inform the development of a CKD-specific CDS intervention.

methodsEligible participants for this electronic cross-sectional study were prescribing clinicians from Alberta, Canada, that practiced in ambulatory care settings, including physicians, nurse practitioners, and pharmacists. The survey presented examples of a proposed CDS' content and format, and collected information on clinician demographics, CKD workflows, perceptions of CDS design, perceived acceptability and clinical utility. Knowledge, comfort, and prescribing patterns were examined for renin-angiotensin system inhibitors (RASi), statins, sodium-glucose cotransporter-2 inhibitors (SGLT2i), glucagon-like peptide-1 receptor agonists (GLP-1RA), and non-steroidal mineralocorticoid receptor agonists (nsMRA). Participant comfort prescribing each medication class was compared using mean paired differences before and after viewing the proposed CDS.

resultsBetween May and June 2025, 137 clinicians engaged with the survey, 131 completed demographics and 111 completed all survey elements. Most were nephrologists (n = 42; 32%) or general internal medicine specialists (n = 36; 27%). Overall, 88 (79%) supported CDS integration. RASi had the highest self-reported comfort with prescribing followed by statins, SGLT2i, GLP-1RA, and nsMRA. Clinicians reported higher comfort prescribing GLP-1RA and nsMRA with CDS support (median +1 on 9-point scale; p < 0.001), but no change for RASi, statins, and SGLT2i. Participants with low baseline comfort (≤6 on 9-point Likert scale) had statistically significant improvements in comfort with CDS for GLP-1RA and nsMRA (p < 0.05), but no change was observed for those with high baseline comfort.

conclusionsClinicians support CDS integration to enhance CKD care in ambulatory settings. The proposed CDS increased perceived prescribing confidence, particularly for GLP-1RA and nsMRA.

Indexed as

Attitude of Health PersonnelDecision Support Systems, ClinicalRenal Insufficiency, ChronicAdultAlbertaCross-Sectional StudiesFemaleHumansMaleMiddle AgedChronic kidney diseaseClinical decision supportElectronic health recordGuideline-recommended care

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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.