Evidence map›Paper›PMID 31730005›Full record

ReviewInternational journal for equity in health2019

Following the legacy of professors Barbara Starfield and Leiyu Shi in Brazil as health policy: the National Health Survey (PNS), led by the Brazilian National Institute of Geography and Statistics (IBGE) and the Primary Care Assessment Tool (PCAT).

Erno Harzheim, Luiz Felipe Pinto, Otavio Pereira D'Avila, Lisiane Hauser

Abstract readLetterReview
In one paragraph

Review in International journal for equity in health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Primary Care Networks and Starfield's 4Cs: A Case for Enhanced Chronic Disease Management.International journal of environmental research and public health · 2021
    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

4 authors.

Erno HarzheimFaculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.ORCID 0000-0002-8919-7916
Luiz Felipe PintoDepartamento de Medicina em Atenção Primária à Saúde, Faculdade de Medicina, Universidade Federal do Rio Janeiro (UFRJ), Rio de Janeiro, Rua Laura de Araújo, 36 - 2º andar - parte, Cidade Nova, Rio de Janeiro, CEP.21250-540, Brasil. felipepinto.rio@medicina.ufrj.br.ORCID 0000-0002-9888-606X
Otavio Pereira D'AvilaFaculdade de Odontologia, Universidade Federal de Pelotas (UFPel), Pelotas, Brasil.ORCID 0000-0003-1852-7858
Lisiane HauserTelessaudeRS, UFRGS, Brazil, Rua Ramiro Barcelos, 2400, Santa Cecilia, Porto Alegre, RS, CEP.90035-003, Brasil.ORCID 0000-0003-3324-5533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present to the scientific community the pioneering of Brazilian National Institute of Geography and Statistics (IBGE, the Brazilian Census Bureau) in partnership with the Ministry of Health, the largest fieldwork ever conducted in a single country in the world, using the PCAT in a national household sample survey, visiting more than 100,000 households and 40% of the country's municipalities. In Brazil, PCAT is being consolidated as an instrument to support public policy for the evaluation of primary health care. We believe that it represents a virtuous example of dialogue between scientific community and health management, following the legacy of Professors Barbara Starfield and Leiyu Shi.

Indexed as

CensusesHealth PolicyBrazilHealth SurveysHumansPrimary Health CareBrazilPCATPrimary health careSurvey

Identifiers

PMID31730005
PMCPMC6858744

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.