Literature DB >> 33675411

Access to treatment for chronic kidney disease by children and adolescents in Brazil.

Isabel de Pádua Paz1, Tulio Konstantyner2, Ricardo de Castro Cintra Sesso3, Cristine Campos de Xavier Pinto4, Maria Fernanda Carvalho de Camargo5, Paulo Cesar Koch Nogueira2,5.   

Abstract

BACKGROUND: This study aimed to identify main factors associated with child and adolescent access to chronic kidney disease (CKD) treatment in Brazil.
METHODS: Multi-center cross-sectional study conducted in eight pediatric nephrology centers across all Brazilian geographic regions. Information was collected on characteristics associated with referral and treatment of patients with CKD. The following outcomes were analyzed as follows: (1) age at first consultation, and (2) time elapsed between referral and treatment at the specialized service.
RESULTS: Three hundred thirty-five children were assessed. Variables associated with age at first consultation were as follows: CAKUT (HR=1.7; 95%CI 1.3-2.2, p<0.01); private health plan (HR=1.54; 95%CI 1.06-2.23, p=0.02); modified Medical Outcomes Study Social Support Survey mMOS-SS score (HR=1.02; 95%CI 1.00-1.03, p=0.024); maternal age (HR=0.96; 95%CI 0.95-0.97, p<0.01); and number of siblings in the household (HR=0.86; 95%CI 0.79-0.83, p<0.01). Significant variables associated with time elapsed between referral and treatment at the specialized service were as follows: each additional occupant sharing the household (HR=0.94; 95%CI:0.89-0.99, p=0.02), residing in the Northeast (HR=0.81; 95%CI:0.67-0.98, p=0.03) and having someone to take them to the physician (HR=1.36; 95%CI 1.07-1.74, p=0.01). The median time interval between patient referral and treatment by the service was 11 days (IQR 10-31).
CONCLUSION: There are potentially modifiable factors hampering access of children with CKD to specialized treatment. The importance of the role of social support for the two outcomes should serve as an alert for health managers and professionals to consider this aspect throughout all steps of the care process of children with CKD.
© 2021. IPNA.

Entities:  

Keywords:  Children; Chronic kidney disease; Social health support, Kidney failure

Mesh:

Year:  2021        PMID: 33675411     DOI: 10.1007/s00467-021-05009-8

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  14 in total

Review 1.  Chronic renal disease.

Authors:  Malvinder S Parmar
Journal:  BMJ       Date:  2002-07-13

2.  [Construct validity of the Medical Outcomes Study's social support scale adapted to Portuguese in the Pró-Saúde Study].

Authors:  Rosane Harter Griep; Dóra Chor; Eduardo Faerstein; Guilherme L Werneck; Cláudia S Lopes
Journal:  Cad Saude Publica       Date:  2005-05-02       Impact factor: 1.632

3.  Late diagnosis of chronic renal failure and mortality on maintenance dialysis.

Authors:  R Sesso; A G Belasco
Journal:  Nephrol Dial Transplant       Date:  1996-12       Impact factor: 5.992

4.  Burden, Access, and Disparities in Kidney Disease.

Authors:  Deidra C Crews; Aminu K Bello; Gamal Saadi
Journal:  Exp Clin Transplant       Date:  2019-04       Impact factor: 0.945

5.  The eight-item modified Medical Outcomes Study Social Support Survey: psychometric evaluation showed excellent performance.

Authors:  André Moser; Andreas E Stuck; Rebecca A Silliman; Patricia A Ganz; Kerri M Clough-Gorr
Journal:  J Clin Epidemiol       Date:  2012-07-20       Impact factor: 6.437

6.  New equations to estimate GFR in children with CKD.

Authors:  George J Schwartz; Alvaro Muñoz; Michael F Schneider; Robert H Mak; Frederick Kaskel; Bradley A Warady; Susan L Furth
Journal:  J Am Soc Nephrol       Date:  2009-01-21       Impact factor: 10.121

7.  Development of a risk score for earlier diagnosis of chronic kidney disease in children.

Authors:  Paulo Cesar Koch Nogueira; Tulio Konstantyner; Maria Fernanda Camargo de Carvalho; Cristine Campos de Xavier Pinto; Isabel de Pádua Paz; Vera Maria Santoro Belangero; Marcelo de Sousa Tavares; Clotilde Druck Garcia; Oreste Angelo Ferra Neto; Káthia Liliane da Cunha Ribeiro Zuntini; Marina da Rocha Lordelo; Samira Shizuko Parreao Oi; Renata Trindade Damasceno; Ricardo Sesso
Journal:  PLoS One       Date:  2019-04-19       Impact factor: 3.240

Review 8.  Acute Kidney Injury Epidemiology in pediatrics.

Authors:  Thais Lira Cleto-Yamane; Conrado Lysandro Rodrigues Gomes; Jose Hermogenes Rocco Suassuna; Paulo Koch Nogueira
Journal:  J Bras Nefrol       Date:  2018-11-14

Review 9.  A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods.

Authors:  Gary S Collins; Omar Omar; Milensu Shanyinde; Ly-Mee Yu
Journal:  J Clin Epidemiol       Date:  2012-10-30       Impact factor: 6.437

10.  Pediatric Chronic Dialysis in Brazil: Epidemiology and Regional Inequalities.

Authors:  Tulio Konstantyner; Ricardo Sesso; Maria Fernanda de Camargo; Luciana de Santis Feltran; Paulo Cesar Koch-Nogueira
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

View more
  1 in total

1.  Outcomes and risk factors for death among hospitalized children and adolescents with kidney diseases and COVID-19: an analysis of a nationwide database.

Authors:  Mariana A Vasconcelos; Ana Carmen Q Mendonça; Enrico A Colosimo; Noureddin Nourbakhsh; Hercílio Martelli-Júnior; Ludmila R Silva; Maria Christina L Oliveira; Clara C Pinhati; Robert H Mak; Ana Cristina Simões E Silva; Eduardo A Oliveira
Journal:  Pediatr Nephrol       Date:  2022-04-29       Impact factor: 3.651

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.