Evidence map›Paper›PMID 37679722›Full record

Observational studyBMC health services research2023

Using big data and Population Health Management to assess care and costs for patients with severe mental disorders and move toward a value-based payment system.

Valeria D Tozzi, Helen Banks, Lucia Ferrara, Angelo Barbato, Giovanni Corrao, Barbara D'avanzo, Teresa Di Fiandra, Andrea Gaddini, Matteo Monzio Compagnoni, Michele Sanza and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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

13 authors at 8 institutions in 1 country.

Valeria D TozziCenter for Research on Health and Social Care Management, SDA Bocconi School of Management - Bocconi University, Via Sarfatti, 10, Milan, 20136, Italy.
Helen BanksCenter for Research on Health and Social Care Management, SDA Bocconi School of Management - Bocconi University, Via Sarfatti, 10, Milan, 20136, Italy.
Lucia FerraraCenter for Research on Health and Social Care Management, SDA Bocconi School of Management - Bocconi University, Via Sarfatti, 10, Milan, 20136, Italy. lucia.ferrara@unibocconi.it.
Angelo BarbatoUnit for Quality of Care and Rights Promotion in Mental Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
Giovanni CorraoNational Centre for Healthcare Research and Pharmacoepidemiology, University of Milano- Bicocca, Milan, Italy.
Barbara D'avanzoUnit for Quality of Care and Rights Promotion in Mental Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
Teresa Di FiandraGeneral Directorate for Health Prevention, Ministry of Health, Rome, Italy.
Andrea GaddiniAgency for Public Health, Lazio Region, Rome, Italy.
Matteo Monzio CompagnoniNational Centre for Healthcare Research and Pharmacoepidemiology, University of Milano- Bicocca, Milan, Italy.
Michele SanzaDepartment of Mental Health and Addiction Services, AUSL Romagna, Cesena, Italy.
Alessio SaponaroGeneral Directorate of Health and Social Policies, Emilia-Romagna Region, Bologna, Italy.
Salvatore ScondottoDepartment of Health Services and Epidemiological Observatory, Regional Health Authority, Sicily Region, Palermo, Italy.
Antonio LoraDepartment of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy.
Bocconi University · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Milano-Bicocca · ITAgenzia Regionale per la Protezione Ambientale del Piemonte · ITAgenzia Sanitaria e Sociale Regionale · ITAziende Socio Sanitarie Territoriali di LeccoMinistero della Salute · ITRegione Siciliana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental health (MH) care often exhibits uneven quality and poor coordination of physical and MH needs, especially for patients with severe mental disorders. This study tests a Population Health Management (PHM) approach to identify patients with severe mental disorders using administrative health databases in Italy and evaluate, manage and monitor care pathways and costs. A second objective explores the feasibility of changing the payment system from fee-for-service to a value-based system (e.g., increased care integration, bundled payments) to introduce performance measures and guide improvement in outcomes.

methodsSince diagnosis alone may poorly predict condition severity and needs, we conducted a retrospective observational study on a 9,019-patient cohort assessed in 2018 (30.5% of 29,570 patients with SMDs from three Italian regions) using the Mental Health Clustering Tool (MHCT), developed in the United Kingdom, to stratify patients according to severity and needs, providing a basis for payment for episode of care. Patients were linked (blinded) with retrospective (2014-2017) physical and MH databases to map resource use, care pathways, and assess costs globally and by cluster. Two regions (3,525 patients) provided data for generalized linear model regression to explore determinants of cost variation among clusters and regions.

resultsSubstantial heterogeneity was observed in care organization, resource use and costs across and within 3 Italian regions and 20 clusters. Annual mean costs per patient across regions was €3,925, ranging from €3,101 to €6,501 in the three regions. Some 70% of total costs were for MH services and medications, 37% incurred in dedicated mental health facilities, 33% for MH services and medications noted in physical healthcare databases, and 30% for other conditions. Regression analysis showed comorbidities, resident psychiatric services, and consumption noted in physical health databases have considerable impact on total costs.

conclusionsThe current MH care system in Italy lacks evidence of coordination of physical and mental health and matching services to patient needs, with high variation between regions. Using available assessment tools and administrative data, implementation of an episodic approach to funding MH could account for differences in disease phase and physical health for patients with SMDs and introduce performance measurement to improve outcomes and provide oversight.

Indexed as

Mental DisordersPopulation Health ManagementBig DataHumansMental HealthRetrospective StudiesBig dataHealthcare deliveryHealth information interoperabilityMedical record linkageMental healthMental health clustering toolPopulation healthValue-based healthcare

Identifiers

PMID37679722
PMCPMC10483754
OpenAlexW4386516985

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.