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Contextual and individual factors associated with dissatisfaction with the Brazilian Unified National Health System, 2011-2012

Bibliographic Data

ID5168874
AuthorsLúcia Gimenes Passero (Universidade Federal do Rio Grande do Sul), Jessye Melgarejo Do Amaral Giordani (0000-0002-3825-9734, Universidade Federal do Rio Grande do Sul), Fernando Neves Hugo (0000-0003-2222-7719, Universidade Federal do Rio Grande do Sul), Vanessa Bielefeldt Leotti Torman (Universidade Federal do Rio Grande do Sul), Suzi Alves Camey (0000-0002-5564-081X, Universidade Federal do Rio Grande do Sul), Juliana Balbinot Hilgert (0000-0002-2204-1634, Universidade Federal do Rio Grande do Sul)
Year2016
Volume32
Issue10
Pagese00065015-e00065015
Publication date2016-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCadernos de Saude Publica (JOURNAL)
Journal identifiersISSN: 0102-311X • E-ISSN: 1678-4464
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00065015
PMID27783752
OpenAlexW2536786553
SCIELO_PIDS0102-311X2016001005004
LanguageEN
Citations received5
References cited18

User satisfaction is known to be related to quality of healthcare. The aim of this study was to evaluate the influence of contextual and individual factors associated with user dissatisfaction with the Brazilian Unified National Health System (SUS). This was a cross-sectional multilevel study. Data were collected via telephone by the ombudsman's office of the SUS. Telephone numbers were randomly selected from a telephone company database. Health services, socioeconomic, and individual demographic variables were evaluated, in addition to information on the municipalities. The outcome variable was dissatisfaction with the SUS. Hierarchical multilevel logistic regression was used, and 18,673 individuals were contacted. Prevalence of dissatisfaction was 63.4% (95%CI: 62.7-64.1). Unmet demand (OR = 3.66), waiting time > 4 hours (OR = 2.82), and number of Primary Healthcare Units (OR = 0.89) were associated statistically with dissatisfaction. Characteristics of the health teams' work process showed a strong association with dissatisfaction

Business · Environmental health · Family medicine · Health care · Logistic regression · Multilevel model · Population · Socioeconomic status · Statistics · Telephone survey · Customer Service Quality and Loyalty · Demography · Health, Nursing, Elderly Care · Marketing · Medicine · Patient Satisfaction in Healthcare · Psychology · Gerontology

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    Open Access•Gilda Mayumi Garcez da Silva Honda, Jéssica Carvalho Lima et al.•Revista Família Ciclos de Vida e…•2020

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Unique citing works5
Citations per year0,63
Citation span2018 - 2023 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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