Evidence map›Paper›PMID 33514372›Full record

ArticleBMC health services research2021

Using text analysis software to identify determinants of inappropriate clinical question reporting and diagnostic procedure referrals in Reggio Emilia, Italy.

Francesco Venturelli, Marta Ottone, Fabio Pignatti, Eletta Bellocchio, Mirco Pinotti, Giulia Besutti, Olivera Djuric, Paolo Giorgi Rossi

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Francesco VenturelliEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy.
Marta OttoneEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy. marta.ottone@ausl.re.it.ORCID http://orcid.org/0000-0003-1302-0329
Fabio PignattiDepartment of Primary Care, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Eletta BellocchioDepartment of Primary Care, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Mirco PinottiDepartment of Primary Care, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Giulia BesuttiClinical and Experimental Medicine PhD program, University of Modena and Reggio Emilia, Modena, Italy.
Olivera DjuricEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy.
Paolo Giorgi RossiEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy.
Azienda Sanitaria Unità Locale di Reggio Emilia · ITUniversity of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInappropriate prescribing of diagnostic procedures leads to overdiagnosis, overtreatment and resource waste in healthcare systems. Effective strategies to measure and to overcome inappropriateness are essential to increasing the value and sustainability of care. We aimed to describe the determinants of inappropriate reporting of the clinical question and of inappropriate imaging and endoscopy referrals through an analysis of general practitioners' (GP) referral forms in the province of Reggio Emilia, Italy.

methodsA clinical audit was conducted on routinely collected referral forms of all GPs of Reggio Emilia province. All prescriptions for gastroscopy, colonoscopy, neurological and musculoskeletal computerised tomography (CT) and magnetic resonance imaging (MRI) from 2012 to 2017 were included. The appropriateness of referral forms was assessed using Clinika VAP software, which combines semantic analysis of clinical questions and available metadata. Local protocols agreed on by all physicians defined criteria of appropriateness. Two multilevel logistic models were used to identify multiple predictors of inappropriateness of referral forms and to analyse variability among GPs, primary care subdistricts and healthcare districts.

resultsOverall, 37% of referral forms were classified as inappropriate, gastroscopy and CT showed higher proportions of inappropriate referrals compared to colonoscopy and MRI. Inappropriateness increased with patient age for CT and MRI; for gastroscopy, it was lower for patients aged 65-84 compared to those younger, and for colonoscopy, it was higher for older patients. Fee exemptions were associated with inappropriateness in MRI referral forms. The effect of GPs' practice organization was consistent across all tests, showing higher inappropriateness for primary care medical networks than in primary care medical groups. Male GPs were associated with inappropriateness in endoscopy, and older GPs were associated with inappropriateness in musculoskeletal CT. While there was moderate variability in the inappropriate prescribing among GPs, there was not among the healthcare districts or primary care subdistricts.

conclusionsRoutinely collected data and IT tools can be useful to identify and monitor diagnostic procedures at high risk of inappropriate prescribing. Assessing determinants of inappropriate referral makes it possible to tailor educational and organizational interventions to those who need them.

Indexed as

General PractitionersReferral and ConsultationAgedAged, 80 and overHumansInappropriate PrescribingItalyMalePractice Patterns, Physicians'Software

Identifiers

PMID33514372
PMCPMC7847028
OpenAlexW3124738338

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.