Literature DB >> 34731357

Are Primary Health Care Features Associated with Reduced Late Neonatal Mortality in Brazil? An Ecological Study.

Amanda Namíbia Pereira Pasklan1, Thiago Augusto Hernandes Rocha2, Rejane Christine de Sousa Queiroz3, Núbia Cristina da Silva Rocha2, Luiz Augusto Facchini4, Erika Bárbara Abreu Fonseca Thomaz5.   

Abstract

OBJECTIVE: To analyze the effect and efficiency of the characteristics of PHC facilities' structures and the work process of PHC teams on late neonatal mortality (LNM).
METHODS: This ecological time-series study adopted 3.764 Brazilian municipalities as analysis units. The independent variables were sorted into three hierarchical levels and four blocks. The distal level consisted of economic and demographic variables; the intermediate level comprised health coverage and demand for services; and the proximal level included structure and work process. The dependent variable was LNM. A linear mixed-effects regression analysis with a hierarchical approach was performed, estimating the crude (β) and adjusted (alpha = 5%) regression coefficients. Data involution analysis and municipalities were the decision-making unit according to their strata.
RESULTS: LNM was directly associated with the number of live births and unemployment rate. LNM was inversely associated with the year, per capita income, the community health worker's strategy coverage, vaginal delivery, household visits, and available vaccines. In the 2002-2014 period, the number of municipalities efficient in reducing LNM dropped from 38 to 27. In 2014, a more significant investment occurred in the number of vaginal deliveries in almost all strata to make inefficient municipalities efficient. CONCLUSION FOR PRACTICE: The deaths of children aged 7-28 days are affected by the characteristics of the PHC structure and work process.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Epidemiology of health services; Infant mortality; Neonatal mortality; Primary health care

Mesh:

Year:  2021        PMID: 34731357     DOI: 10.1007/s10995-021-03269-2

Source DB:  PubMed          Journal:  Matern Child Health J        ISSN: 1092-7875


  22 in total

1.  [Municipalities Stratification for Health Performance Evaluation].

Authors:  Maria Cristina Marino Calvo; Josimari Telino de Lacerda; Claudia Flemming Colussi; Ione Jayce Ceola Schneider; Thiago Augusto Hernandes Rocha
Journal:  Epidemiol Serv Saude       Date:  2016 Oct-Dec

2.  A prospective study of maternal, fetal and neonatal outcomes in the setting of cesarean section in low- and middle-income countries.

Authors:  Margo S Harrison; Omrana Pasha; Sarah Saleem; Sumera Ali; Elwyn Chomba; Waldemar A Carlo; Ana L Garces; Nancy F Krebs; K Michael Hambidge; Shivaprasad S Goudar; Bhala Kodkany; Sangappa Dhaded; Richard J Derman; Archana Patel; Patricia L Hibberd; Fabian Esamai; Edward A Liechty; Janet L Moore; Dennis Wallace; Elizabeth M Mcclure; Menachem Miodovnik; Marion Koso-Thomas; Jose Belizan; Antoinette K Tshefu; Melissa Bauserman; Robert L Goldenberg
Journal:  Acta Obstet Gynecol Scand       Date:  2017-03-09       Impact factor: 3.636

Review 3.  The relationships between income inequality, welfare regimes and aggregate health: a systematic review.

Authors:  Ki-Tae Kim
Journal:  Eur J Public Health       Date:  2017-06-01       Impact factor: 3.367

4.  Facility distance and child mortality: a multi-country study of health facility access, service utilization, and child health outcomes.

Authors:  Mahesh Karra; Günther Fink; David Canning
Journal:  Int J Epidemiol       Date:  2017-06-01       Impact factor: 7.196

5.  The Costs and Their Determinant of Cesarean Section and Vaginal Delivery: An Exploratory Study in Chongqing Municipality, China.

Authors:  Zhifei He; Zhaohui Cheng; Tailai Wu; Yan Zhou; Junguo Chen; Qian Fu; Zhanchun Feng
Journal:  Biomed Res Int       Date:  2016-11-22       Impact factor: 3.411

6.  Annual trend of neonatal mortality and its underlying causes: population-based study - São Paulo State, Brazil, 2004-2013.

Authors:  Ruth Guinsburg; Adriana Sanudo; Carlos Roberto V Kiffer; Ana Sílvia S Marinonio; Daniela T Costa-Nobre; Kelsy N Areco; Mandira D Kawakami; Milton H Miyoshi; Paulo Bandiera-Paiva; Rita de Cássia X Balda; Tulio Konstantyner; Liliam Cc Morais; Rosa Mv Freitas; Mônica Lp Teixeira; Bernadette Waldvogel; Maria Fernanda B Almeida
Journal:  BMC Pediatr       Date:  2021-01-26       Impact factor: 2.125

7.  Infant Mortality Rates for Farming and Unemployed Households in the Japanese Prefectures: An Ecological Time Trend Analysis, 1999-2017.

Authors:  Mariko Kanamori; Naoki Kondo; Yasuhide Nakamura
Journal:  J Epidemiol       Date:  2020-02-01       Impact factor: 3.211

8.  Health capabilities and the determinants of infant mortality in Brazil, 2004-2015: an innovative methodological framework.

Authors:  Alexandre Bugelli; Roxane Borgès Da Silva; Ladislau Dowbor; Claude Sicotte
Journal:  BMC Public Health       Date:  2021-04-30       Impact factor: 3.295

9.  Does the use of Doppler ultrasound reduce fetal mortality? A population study of all deliveries in Norway 1990-2014.

Authors:  Jostein Grytten; Irene Skau; Anne Eskild
Journal:  Int J Epidemiol       Date:  2021-06-21       Impact factor: 7.196

Review 10.  The Determinants of Infant Mortality in Brazil, 2010-2020: A Scoping Review.

Authors:  Alexandre Bugelli; Roxane Borgès Da Silva; Ladislau Dowbor; Claude Sicotte
Journal:  Int J Environ Res Public Health       Date:  2021-06-15       Impact factor: 3.390

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