Evidence map›Paper›PMID 37176737›Full record

ArticleJournal of clinical medicine2023

Assessment and Monitoring of the Quality of Clinical Pathways in Patients with Depressive Disorders: Results from a Multiregional Italian Investigation on Mental Health Care Quality (the QUADIM Project).

Matteo Monzio Compagnoni, Giulia Caggiu, Liliana Allevi, Angelo Barbato, Flavia Carle, Barbara D'Avanzo, Teresa Di Fiandra, Lucia Ferrara, Andrea Gaddini, Cristina Giordani and 6 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

16 authors.

Matteo Monzio CompagnoniUnit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-2105-4572
Giulia CaggiuUnit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-6631-5393
Liliana AlleviDepartment of Mental Health and Addiction Services, ASST Lecco, 23900 Lecco, Italy.
Angelo BarbatoDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.
Flavia CarleNational Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-2422-6528
Barbara D'AvanzoDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy.
Teresa Di FiandraPsychologist, Previously General Directorate for Health Prevention, Ministry of Health, 00144 Rome, Italy.
Lucia FerraraCentre of Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, 20100 Milan, Italy.ORCID 0000-0001-6955-8983
Andrea GaddiniRegional Agency for Public Health, 00198 Rome, Italy.
Cristina GiordaniDepartment of Health Planning, Italian Health Ministry, 00144 Rome, Italy.
Michele SanzaDepartment of Mental Health and Addiction Disorders Forlì-Cesena, AUSL Romagna, 48121 Cesena, Italy.ORCID 0000-0002-7954-8292
Alessio SaponaroGeneral Directorate of Health and Social Policies, 40127 Bologna, Italy.
Salvatore ScondottoNational Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy.
Valeria D TozziCentre of Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, 20100 Milan, Italy.
Giovanni CorraoUnit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-1034-8444
Antonio LoraNational Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy.

Funding

Italian Ministry of Health F52F16001420001Italian Ministry of Health J59H06000160001
6 · The paper itself

Abstract

Ensuring adequate quality of care to patients with severe mental disorders remains a challenge. The implementation of clinical indicators aimed at assessing the quality of health care pathways delivered is crucial for the improvement of mental health services (MHS). This study aims to evaluate the quality of care delivered to patients who are taken-into-care with depressive disorders by MHS. Thirty-four clinical indicators concerning accessibility, appropriateness, continuity, and safety were estimated using health care utilization databases from four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). A total of 78,924 prevalent patients treated for depressive disorders in 2015 were identified, of whom 15,234 were newly engaged by MHS. During the year of follow-up, access to psychotherapeutic interventions was low, while the intensity was adequate; 5.1% of prevalent patients received at least one hospitalization in a psychiatric ward (GHPW), and 3.3% in the cohort of newly engaged in services. Five-out-of-10 patients had contact with community services within 14 days after GHPW discharge, but less than half of patients were persistent to antidepressant drug therapy. Furthermore, prevalent patients showed an excess of mortality compared to the general population (SMR = 1.35; IC 95%: 1.26-1.44). In conclusion, the quality of health care is not delivered in accordance with evidence-based mental health standards. Evaluation of health interventions are fundamental strategies for improving the quality and equity of health care.

Indexed as

assessmentclinical pathwaysdepressive disordershealth care researchhealth care utilization databasesmental health caremental health servicesmonitoringpublic healthquality of care

Identifiers

PMID37176737
PMCPMC10179491

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.