Incidence of prematurity and associated risk factors among users of a health insurance company
Abstract Objectives: to analyze the incidence ofprematurity in users of a health insurance plan; to analyze the associated risk factors. Methods: a retrospective study was conducted in five maternity hospitals with puerperal women who were users of health insurance plans by telephone interviews gu...
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Instituto Materno Infantil de Pernambuco
2024-11-01
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| Series: | Revista Brasileira de Saúde Materno Infantil |
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| author | Jolline Lind Marcelo de Paula Loureiro Jaime Luis Lopes Rocha |
| author_facet | Jolline Lind Marcelo de Paula Loureiro Jaime Luis Lopes Rocha |
| author_sort | Jolline Lind |
| collection | DOAJ |
| description | Abstract Objectives: to analyze the incidence ofprematurity in users of a health insurance plan; to analyze the associated risk factors. Methods: a retrospective study was conducted in five maternity hospitals with puerperal women who were users of health insurance plans by telephone interviews guided by a semi-structured questionnaire. The variables studied were related to sociodemographic, clinical and outcome conditions. Univariate and multivariate analysis with Backward logistic regression was performed. Results: 1,193 participants were evaluated and 116 premature births were identified. It was found that preterm birth (p<0.001; OR=4.596; CI95%=2.544-8.305), oligohydramnios (p=0.019; OR=2.697; CI95% =1.140-6.380), diabetes mellitus prior to pregnancy (p<0.001; OR=4.897; CI95%=2.147-11.169), twin pregnancy (p<0.001; OR=7.115; CI95%=3.578-14.148), autoimmune disease (p<0.001; OR=3.799; CI95%=1.987-7.260), stress during pregnancy (p=0.026; OR=1.568; CI95%=1.053-2.335), urinary infection (p=0.008; OR=1.825; CI95%=1.161-2.867), placenta previa (p=0.001; OR=3.180; CI95%=1.517-6.667), pre-eclampsia (p<0.001; OR=4.833; CI95%=2.860-8.169), gestational bleeding (p=0.001; OR=2.185; CI95%=1.340-3.564), interval between pregnancies less than six months (p=0.001; OR=3.502; CI95%=1.594-7.698), pregnancy resulting from in vitro fertilization (p<0.001; OR=2.874; CI95%=1.466-5.637) were statistically relevant as risk factors for prematurity. Conclusion: knowledge of these factors may be important in developing strategies to improve the assistance offered to pregnant women by the health insurance providers. |
| format | Article |
| id | doaj-art-203684c81925455b8ed32c02f78d66de |
| institution | DOAJ |
| issn | 1806-9304 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Instituto Materno Infantil de Pernambuco |
| record_format | Article |
| series | Revista Brasileira de Saúde Materno Infantil |
| spelling | doaj-art-203684c81925455b8ed32c02f78d66de2025-08-20T02:49:26ZengInstituto Materno Infantil de PernambucoRevista Brasileira de Saúde Materno Infantil1806-93042024-11-012410.1590/1806-9304202400000376-enIncidence of prematurity and associated risk factors among users of a health insurance companyJolline Lindhttps://orcid.org/0000-0003-4890-3869Marcelo de Paula Loureirohttps://orcid.org/0000-0001-9044-4534Jaime Luis Lopes Rochahttps://orcid.org/0000-0002-3749-6826Abstract Objectives: to analyze the incidence ofprematurity in users of a health insurance plan; to analyze the associated risk factors. Methods: a retrospective study was conducted in five maternity hospitals with puerperal women who were users of health insurance plans by telephone interviews guided by a semi-structured questionnaire. The variables studied were related to sociodemographic, clinical and outcome conditions. Univariate and multivariate analysis with Backward logistic regression was performed. Results: 1,193 participants were evaluated and 116 premature births were identified. It was found that preterm birth (p<0.001; OR=4.596; CI95%=2.544-8.305), oligohydramnios (p=0.019; OR=2.697; CI95% =1.140-6.380), diabetes mellitus prior to pregnancy (p<0.001; OR=4.897; CI95%=2.147-11.169), twin pregnancy (p<0.001; OR=7.115; CI95%=3.578-14.148), autoimmune disease (p<0.001; OR=3.799; CI95%=1.987-7.260), stress during pregnancy (p=0.026; OR=1.568; CI95%=1.053-2.335), urinary infection (p=0.008; OR=1.825; CI95%=1.161-2.867), placenta previa (p=0.001; OR=3.180; CI95%=1.517-6.667), pre-eclampsia (p<0.001; OR=4.833; CI95%=2.860-8.169), gestational bleeding (p=0.001; OR=2.185; CI95%=1.340-3.564), interval between pregnancies less than six months (p=0.001; OR=3.502; CI95%=1.594-7.698), pregnancy resulting from in vitro fertilization (p<0.001; OR=2.874; CI95%=1.466-5.637) were statistically relevant as risk factors for prematurity. Conclusion: knowledge of these factors may be important in developing strategies to improve the assistance offered to pregnant women by the health insurance providers.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292024000100437&lng=en&tlng=enPremature birthPregnancy high-riskRisk factorsInsurance health |
| spellingShingle | Jolline Lind Marcelo de Paula Loureiro Jaime Luis Lopes Rocha Incidence of prematurity and associated risk factors among users of a health insurance company Revista Brasileira de Saúde Materno Infantil Premature birth Pregnancy high-risk Risk factors Insurance health |
| title | Incidence of prematurity and associated risk factors among users of a health insurance company |
| title_full | Incidence of prematurity and associated risk factors among users of a health insurance company |
| title_fullStr | Incidence of prematurity and associated risk factors among users of a health insurance company |
| title_full_unstemmed | Incidence of prematurity and associated risk factors among users of a health insurance company |
| title_short | Incidence of prematurity and associated risk factors among users of a health insurance company |
| title_sort | incidence of prematurity and associated risk factors among users of a health insurance company |
| topic | Premature birth Pregnancy high-risk Risk factors Insurance health |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292024000100437&lng=en&tlng=en |
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