Evidence map›Paper›PMID 42004306›Full record

ArticleAIMS public health2026

Evaluation of the quality of public health services: A study in the Brazilian context.

Renata Pase Ravanello, Kelmara Mendes Vieira, Breno Augusto Diniz Pereira

Abstract read
In one paragraph

Article in AIMS public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Renata Pase RavanelloGraduate Program in Public Organizations Management, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Kelmara Mendes VieiraGraduate Program in Public Organizations Management, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Breno Augusto Diniz PereiraGraduate Program in Public Organizations Management, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated Brazilians' perceptions of public health service quality using a multidimensional approach with a national sample. A survey involving 1229 respondents from all regions of Brazil was analyzed through descriptive statistics and confirmatory factor analysis to validate the measurement model. Service quality was assessed using the PUBLICSERV scale, comprising seven dimensions: tangible aspects, reliability, relationship, public value, transparency, equality and legality, and satisfaction. The model showed good fit and validity. Findings revealed that most Brazilians perceive service quality as average across the dimensions. Public value received the highest ratings, highlighting recognition of the services' social importance. Tangible aspects and reliability were lowest, pointing to shortcomings in infrastructure and consistency of care. Transparency was evaluated as moderate, while equality and legality reflected perceived fairness. The relationship dimension was rated positively, suggesting empathy and commitment from health professionals. Overall, satisfaction was reported, though tempered by structural and consistency issues. The results emphasize the value of multidimensional assessments in understanding user experiences, suggesting that improvements in infrastructure and consistency are important to strengthen public health delivery, while maintaining the positive aspects recognized by users, such as social relevance, fairness, and professional commitment.

Indexed as

health evaluationhealth quality managementhealth service evaluationpublic health servicesPUBLICSERV

Identifiers

PMID42004306
PMCPMC13084497

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.