Add like
Add dislike
Add to saved papers

Severe maternal morbidity identified in the Hospital Information System of the Brazilian National Health System in Paraná State, Brazil, 2010.

OBJECTIVE: to describe near miss maternal morbidity among women living in Paraná State, Brazil, in 2010.

METHODS: this was a descriptive study using Brazilian National Hospital Information System (SIH/SUS) data on all hospital admissions with primary diagnosis falling under Chapter XV of the International Statistical Classification of Diseases and Related Health Problems 10th Revision and/or with records of obstetric procedures indicative of near misses; three criteria were used to define severe maternal morbidity.

RESULTS: 4,890 admissions owing to near miss were identified, with a rate of 52.9 hospitalizations per 1,000 births, a rate of 69.8/1,000 among women aged 35-39 and a rate of 356.6/1,000 among women aged 44-49; the leading causes of hospitalization were preeclampsia (28.2%), haemorrhage (23.7%) and immune system dysfunction (14.0%).

CONCLUSION: the results indicate the need to pay greater attention to women aged 35 and over since they had higher rates of near miss.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app