Evidence map›Paper›PMID 35329140›Full record

ArticleInternational journal of environmental research and public health2022

How to Improve the Drafting of Health Profiles.

Margherita Napolitani, Giovanni Guarducci, Gulnara Abinova, Gabriele Messina, Nicola Nante

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
0.3field-weighted citation impact, top 44% of its field
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, 2 citations in OpenAlex.

  1. How to Assess Health Gains.Healthcare (Basel, Switzerland) · 2025
    Article
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 at 2 institutions in 1 country.

Margherita NapolitaniPost Graduate School of Public Health, University of Siena, 53100 Siena, Italy.
Giovanni GuarducciPost Graduate School of Public Health, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-1469-7294
Gulnara AbinovaSan Michele Private Hospital, 17031 Albenga, Italy.
Gabriele MessinaPost Graduate School of Public Health, University of Siena, 53100 Siena, Italy.
Nicola NantePost Graduate School of Public Health, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-2040-9562
University of Siena · ITCasa di Cura San Michele · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delineating patients' health profiles is essential to allow for a proper comparison between medical care and its results in patients with comorbidities. The aim of this work was to evaluate the concordance of health profiles outlined by ward doctors and by epidemiologists and the effectiveness of training interventions in improving the concordance. Between 2018 and 2021, we analyzed the concordance between the health profiles outlined by ward doctors in a private hospital and those outlined by epidemiologists on the same patients' medical records. The checks were repeated after training interventions. The agreement test (Cohen's kappa) was used for comparisons through STATA. The initial concordance was poor for most categories. After our project, the concordance improved for all categories of CIRS. Subsequently, we noted a decline in concordance between ward doctors and epidemiologists for CIRS, so a new training intervention was needed to improve the CIRS profile again. Initially, we found a low concordance, which increased significantly after the training interventions, proving its effectiveness.

Indexed as

Medical RecordsPhysiciansComorbidityHospitalsHumansCIRScomorbidityhealth profilesrisk adjustment

Identifiers

PMID35329140
PMCPMC8950871
OpenAlexW4220795960

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.