Evidence map›Paper›PMID 28347447›Full record

ArticleInternational journal of medical informatics2017

User Requirements for a Chronic Kidney Disease Clinical Decision Support Tool to Promote Timely Referral.

Joy Gulla, Pamela M Neri, David W Bates, Lipika Samal

Abstract read
In one paragraph

Article in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies.International journal of environmental research and public health · 2022
    Pooled it
  3. Trial
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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

4 authors.

Joy GullaDivision of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: jgulla@partners.org.
Pamela M NeriClinical and Quality Analysis, Partners HealthCare System, Wellesley, MA, USA.
David W BatesDivision of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Clinical and Quality Analysis, Partners HealthCare System, Wellesley, MA, USA; Harvard Medical School, Boston, MA, USA.
Lipika SamalDivision of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Funding

Health Information Technology for Chronic Kidney Disease ManagementK23DK097187 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SAMAL, LIPIKA · 2013 to 2017
$920k
NIDDK NIH HHS K23 DK097187
6 · The paper itself

Abstract

backgroundTimely referral of patients with CKD has been associated with cost and mortality benefits, but referrals are often done too late in the course of the disease. Clinical decision support (CDS) offers a potential solution, but interventions have failed because they were not designed to support the physician workflow. We sought to identify user requirements for a chronic kidney disease (CKD) CDS system to promote timely referral.

methodsWe interviewed primary care physicians (PCPs) to identify data needs for a CKD CDS system that would encourage timely referral and also gathered information about workflow to assess risk factors for progression of CKD. Interviewees were general internists recruited from a network of 14 primary care clinics affiliated with Brigham and Women's Hospital (BWH). We then performed a qualitative analysis to identify user requirements and system attributes for a CKD CDS system.

resultsOf the 12 participants, 25% were women, the mean age was 53 (range 37-82), mean years in clinical practice was 27 (range 11-58). We identified 21 user requirements. Seven of these user requirements were related to support for the referral process workflow, including access to pertinent information and support for longitudinal co-management. Six user requirements were relevant to PCP management of CKD, including management of risk factors for progression, interpretation of biomarkers of CKD severity, and diagnosis of the cause of CKD. Finally, eight user requirements addressed user-centered design of CDS, including the need for actionable information, links to guidelines and reference materials, and visualization of trends.

conclusionThese 21 user requirements can be used to design an intuitive and usable CDS system with the attributes necessary to promote timely referral.

Indexed as

Decision Support Systems, ClinicalAdultAgedAged, 80 and overData CollectionFemaleHumansMaleMiddle AgedPatient Care ManagementPractice Patterns, Physicians'Referral and ConsultationRenal Insufficiency, ChronicTime Factorschronic kidney diseaseclinicalcomputerizeddecision support systemsMedical records systemsprimary health carequality of carereferral and consultation

Identifiers

PMID28347447
PMCPMC5497591

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Registered trials

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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.