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


Journal

BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677

Informations de publication

Date de publication:
29 Jan 2021
Historique:
received: 02 03 2020
accepted: 17 01 2021
entrez: 30 1 2021
pubmed: 31 1 2021
medline: 15 5 2021
Statut: epublish

Résumé

Inappropriate 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. A 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. Overall, 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. Routinely 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.

Sections du résumé

BACKGROUND BACKGROUND
Inappropriate 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.
METHODS METHODS
A 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.
RESULTS RESULTS
Overall, 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.
CONCLUSIONS CONCLUSIONS
Routinely 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.

Identifiants

pubmed: 33514372
doi: 10.1186/s12913-021-06093-0
pii: 10.1186/s12913-021-06093-0
pmc: PMC7847028
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103

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Auteurs

Francesco Venturelli (F)

Epidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy.
Clinical and Experimental Medicine PhD program, University of Modena and Reggio Emilia, Modena, Italy.

Marta Ottone (M)

Epidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy. marta.ottone@ausl.re.it.

Fabio Pignatti (F)

Department of Primary Care, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Eletta Bellocchio (E)

Department of Primary Care, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Mirco Pinotti (M)

Department of Primary Care, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Giulia Besutti (G)

Clinical and Experimental Medicine PhD program, University of Modena and Reggio Emilia, Modena, Italy.
Radiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Olivera Djuric (O)

Epidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy.

Paolo Giorgi Rossi (P)

Epidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, via Amendola 2, 42122, Reggio Emilia, Italy.

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Classifications MeSH