Evidence map›Paper›PMID 31800916›Full record

ArticleRevista de saude publica2019

Effectiveness of the Mobile Emergency Medical Services (SAMU): use of interrupted time series.

Cátia C Martins Oliveira, Hillegonda Maria Dutih Novaes, Airlane Pereira Alencar, Itamar S Santos, Maria Cecilia T Damasceno, Heraldo Possolo de Souza

Abstract read
In one paragraph

Article in Revista de saude publica, 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. Analysis of mortality of users treated at a Mobile Emergency Care Service: an observational study, Paraná, 2019-2020.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
    Observational
  3. Scalable policy adoption and sustainable implementation of surgical care in the Americas.Revista panamericana de salud publica = Pan American journal of public health · 2024
    Article
  4. Article
  5. 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

6 authors.

Cátia C Martins OliveiraFundação Oswaldo Cruz. Instituto René Rachou. Coordenação da Agenda 2030. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0002-6419-7506
Hillegonda Maria Dutih NovaesUniversidade de São Paulo. Departamento de Medicina Preventiva. Programa de Pós-Graduação em Saúde Coletiva. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0001-9849-0324
Airlane Pereira AlencarUniversidade de São Paulo. Instituto de Matemática e Estatística. Departamento de Estatística. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-0779-0426
Itamar S SantosUniversidade de São Paulo. Faculdade de Medicina. Departamento de Clínica Médica. São Paulo. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-3212-8466
Maria Cecilia T DamascenoFaculdade de Medicina do ABC. Faculdade de Medicina. Departamento de Clínica Médica. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-0061-3822
Heraldo Possolo de SouzaUniversidade de São Paulo. Faculdade de Medicina. Departamento de Clínica Médica. São Paulo. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-2499-5674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of the Mobile Emergency Medical Services (SAMU) in the ABC Region, using myocardial infarction as tracer condition.

methodsThe analysis of interrupted time series was the approach chosen to test immediate and gradual effects of the intervention on the study population. The research comprised adjusted monthly time series of the hospital mortality rate by myocardial infarction in the period between 2000 and 2011. Data were extracted from the Mortality Information System (SIM), using segmented regression analysis to evaluate the level and trend of the intervention before and after its implementation. To strengthen the internal validity of the study, a control region was included.

resultsThe analysis of interrupted time series showed a reduction of 0.04 deaths per 100,000 inhabitants in the mortality rate compared to the underlying trend since the implementation of the Emergency Medical Services (p = 0.0040; 95%CI: -0.0816 - -0.0162) and a reduction in the level of 2.89 deaths per 100,000 inhabitants (p = 0.0001; 95%CI: -4.3293 - -1.4623), both with statistical significance. Regarding the control region, Baixada Santista, the difference in the result trend between intervention outcome and post-intervention control of -0.0639 deaths per 100,000 inhabitants was statistically significant (p = 0.0031; 95%CI: -0.1060 - -0.0219). We cannot exclude confounders, but we limited their presence in the study by including control region series.

conclusionsAlthough the analysis of interrupted time series has limitations, this modeling can be useful for analyzing the performance of policies and programs. Even though the intervention studied is not a condition that in itself implies effectiveness, the latter would not be present without the former, which, integrated with other conditions, generates a positive result. SAMU is a strategy that must be expanded when formulating and consolidating policies focusing on emergency care.

Indexed as

AdultAmbulancesBrazilEmergency Medical ServicesFeasibility StudiesFemaleHospital MortalityHumansInterrupted Time Series AnalysisMaleMobile Health UnitsMyocardial InfarctionQuality of Health CareReference ValuesRegression AnalysisSeasons

Identifiers

PMID31800916
PMCPMC6863106

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.