Evidence map›Paper›PMID 32209535›Full record

ArticleJMIR medical informatics2020

Toward Standardized Monitoring of Patients With Chronic Diseases in Primary Care Using Electronic Medical Records: Development of a Tool by Adapted Delphi Procedure.

Leandra Falck, Marco Zoller, Thomas Rosemann, Nahara Anani Martínez-González, Corinne Chmiel

Abstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

5 authors.

Leandra FalckInstitute of Primary Care, University of Zurich and University Hospital of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8519-1894
Marco ZollerInstitute of Primary Care, University of Zurich and University Hospital of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-4618-5464
Thomas RosemannInstitute of Primary Care, University of Zurich and University Hospital of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-6436-6306
Nahara Anani Martínez-GonzálezInstitute of Primary Care, University of Zurich and University Hospital of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-8258-4155
Corinne ChmielInstitute of Primary Care, University of Zurich and University Hospital of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-5249-6592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term care for patients with chronic diseases poses a huge challenge in primary care. There are deficits in care, especially regarding monitoring and creating structured follow-ups. Appropriate electronic medical records (EMR) could support this, but so far, no generic evidence-based template exists.

objectiveThe aim of this study is to develop an evidence-based standardized, generic template that improves the monitoring of patients with chronic conditions in primary care by means of an EMR.

methodsWe used an adapted Delphi procedure to evaluate a structured set of evidence-based monitoring indicators for 5 highly prevalent chronic diseases (ie, diabetes mellitus type 2, asthma, arterial hypertension, chronic heart failure, and osteoarthritis). We assessed the indicators' utility in practice and summarized them into a user-friendly layout.

resultsThis multistep procedure resulted in a monitoring tool consisting of condensed sets of indicators, which were divided into sublayers to maximize ergonomics. A cockpit serves as an overview of fixed goals and a set of procedures to facilitate disease management. An additional tab contains information on nondisease-specific indicators such as allergies and vital signs.

conclusionsOur generic template systematically integrates the existing scientific evidence for the standardized long-term monitoring of chronic conditions. It contains a user-friendly and clinically sensible layout. This template can improve the care for patients with chronic diseases when using EMRs in primary care.

Indexed as

arterial hypertensionasthmachronic heart failurediabetes mellitus type 2electronic medical recordindicatorsmonitoring of chronic diseasesosteoarthritisprimary care

Identifiers

PMID32209535
PMCPMC7142740

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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.