Evidence map›Paper›PMID 42820545›Full record

Observational studyEinstein (Sao Paulo, Brazil)2026

Impact of digital automation of institutional pathways on test-ordering patterns in a primary health care.

Anderson Aires Eduardo, Lídia Maria Lourençön, Adriana Morelli Martins, Roberto Alves de Sousa Junior

Abstract readObservational Study
In one paragraph

Observational study in Einstein (Sao Paulo, Brazil), 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
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

4 authors.

Anderson Aires EduardoDigital Platform Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-8045-8043
Lídia Maria LourençönDigital Platform Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-8537-923X
Adriana Morelli MartinsDigital Platform Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0009-0003-6535-7668
Roberto Alves de Sousa JuniorDigital Platform Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the impact of digital automation of institutional pathways on the adherence of test ordering to evidence-based best practices in a primary care setting for obesity.

methodsObservational, single-center, retrospective study comparing the periods before (2023) and after (2024) the implantation of a clinical decision support system. Outcomes: volume of tests adherent to protocols, distribution of ordering mix (entropy/perplexity), and test-specific differences (Poisson rate ratios). Rates per 100 visits were estimated, and incidence rate ratios (IRR) with 95% confidence intervals (95%CI) were estimated. The Mann-Whitney test was used to compare adherent tests per visit, alongside descriptive analyses (top-10 both in absolute and percentage changes).

resultsTotal orders: 347 (before) versus 787 (after); distinct test types: 117 versus 120. Adherent tests: 179 versus 413; IRR=1.63 (95%CI=1.37-1.96; p<0.001). Median of adherent tests per visit: 1.0 (before) versus 3.0 (after) (p=0.027). Perplexity: 70.9 (before) versus 57.6 (after), indicating increased concentration of orders in protocol-based tests. Among the top-10 absolute growth tests, 9/10 were protocol-based; among the top-10 by percentage change, 0/10.

conclusionDigital automation of the pathway was associated with greater adherence to institutional protocols and with a test-ordering pattern more concentrated in core protocol tests.

Indexed as

AutomationDecision Support Systems, ClinicalGuideline AdherenceMedical Order Entry SystemsPrimary Health CareDigital HealthHumansObesityRetrospective Studies

Identifiers

PMID42820545
PMCPMC13682765

What OpenQuestion holds

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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.