Evidence map›Paper›PMID 31536513›Full record

Observational studyPloS one2019

Healthcare resource utilization and costs for multiple sclerosis management in the Campania region of Italy: Comparison between centre-based and local service healthcare delivery.

Marcello Moccia, Andrea Tajani, Rosa Acampora, Elisabetta Signoriello, Guido Corbisiero, Adriano Vercellone, Primo Sergianni, Francesca Pennino, Roberta Lanzillo, Raffaele Palladino and 4 more

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Multiple Sclerosis in the Campania Region (South Italy): Algorithm Validation and 2015-2017 Prevalence.International journal of environmental research and public health · 2020
    Article
  6. 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

14 authors.

Marcello MocciaMultiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, "Federico II" University, Naples, Italy.ORCID 0000-0003-2613-3090
Andrea TajaniDepartment of Public Health, "Federico II" University, Naples, Italy.
Rosa AcamporaPrimary Care and Local Service Unit, Local Healthcare Services "Napoli 3 Sud", Naples, Italy.
Elisabetta SignorielloMultiple Sclerosis Centre, II Neurology Clinic, "Luigi Vanvitelli" University of Campania, Naples, Italy.
Guido CorbisieroLocal Healthcare Service 57, Local Healthcare Services "Napoli 3 Sud", Naples, Italy.
Adriano VercelloneDepartment of Pharmaceutics, Local Healthcare Services "Napoli 3 Sud", Naples, Italy.
Primo SergianniPrimary Care and Local Service Unit, Local Healthcare Services "Napoli 3 Sud", Naples, Italy.
Francesca PenninoDepartment of Public Health, "Federico II" University, Naples, Italy.
Roberta LanzilloMultiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, "Federico II" University, Naples, Italy.
Raffaele PalladinoDepartment of Public Health, "Federico II" University, Naples, Italy.
Antonio CapacchioneMerck Serono S.p.A., an affiliate of Merck KGaA, Darmstadt, Germany, Via Casilina, Rome, Italy.
Vincenzo Brescia MorraMultiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, "Federico II" University, Naples, Italy.
Giacomo LusMultiple Sclerosis Centre, II Neurology Clinic, "Luigi Vanvitelli" University of Campania, Naples, Italy.
Maria TriassiDepartment of Public Health, "Federico II" University, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) requires multidisciplinary management. We evaluated differences in healthcare resource utilization and costs between Federico II and Vanvitelli MS Centres of Naples (Italy), representative of centralised (i.e., MS Care Unit) and local service-based models of multidisciplinary care, respectively.

methodsWe included MS patients continuously seen at the same local healthcare services and MS Centre (Federico II = 187; Vanvitelli = 90) from 2015 to 2017. Healthcare resources for MS treatment and management were collected and costs were calculated. Adherence was estimated as the rate of medication possession ratio (MPR) during 3-years of follow-up. Mixed-effect linear regression models were used to estimate differences in all outcomes between Federico II and Vanvitelli.

resultsPatients at Federico II had more consultations within the MS centre (p<0.001), blood tests (p<0.001), and psychological/cognitive evaluations (p = 0.040). Patients at Vanvitelli had more consultations at local services (p<0.001). Adherence was not-significantly lower at Vanvitelli (p = 0.060), compared with Federico II. Costs for MS treatment and management were 10.6% lower at Vanvitelli (12417.08±8448.32EUR) (95%CI = -19.0/-2.7%;p = 0.007), compared with Federico II (15318.57±10919.59EUR). DISCUSSION: Healthcare services were more complete (and expensive) at the Federico II centralised MS Care Unit, compared with the Vanvitelli local service-based organizational model. Future research should evaluate whether better integration between MS Centres and local services can lead to improved MS management and lower costs.

Indexed as

Delivery of Health CareFemaleHealth Care CostsHealth ServicesHumansImmunologic FactorsItalyLinear ModelsMaleMedication AdherenceMiddle AgedMultiple SclerosisPatient Acceptance of Health CareRetrospective StudiesTreatment OutcomeImmunologic Factors

Identifiers

PMID31536513
PMCPMC6752775

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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.