-
Something wrong with this record ?
Neighborhoods, networks, and delivery methods
E. Barili, P. Bertoli, V. Grembi
Language English Country Netherlands
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Cesarean Section * MeSH
- Incidence MeSH
- Humans MeSH
- Hospitals * MeSH
- Pregnancy MeSH
- Check Tag
- Humans MeSH
- Pregnancy MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Italy MeSH
We examine the contribution of information transmission among pregnant women to geographic variation in C-sections in Lombardy, Italy. Defining networks as pregnant women living in the same municipality, we observe that if the incidence of C-sections within the womans network is one standard deviation higher over the 12 months preceding delivery, then her probability of delivering by C-section is 0.007 percentage points (3%) higher. This result is mainly a network effect on Italian women, while it arises from both network and neighborhood effects on foreign women. Both groups respond to additional information, such as the incidence of C-section complications. The selection of pregnant women across hospitals does not uniquely explain our results, which are robust to alternative sample selections and specifications.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22011827
- 003
- CZ-PrNML
- 005
- 20220506130022.0
- 007
- ta
- 008
- 220425s2021 ne f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.jhealeco.2021.102513 $2 doi
- 035 __
- $a (PubMed)34547585
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a ne
- 100 1_
- $a Barili, Emilia $u University of Genoa, Italy
- 245 10
- $a Neighborhoods, networks, and delivery methods / $c E. Barili, P. Bertoli, V. Grembi
- 520 9_
- $a We examine the contribution of information transmission among pregnant women to geographic variation in C-sections in Lombardy, Italy. Defining networks as pregnant women living in the same municipality, we observe that if the incidence of C-sections within the womans network is one standard deviation higher over the 12 months preceding delivery, then her probability of delivering by C-section is 0.007 percentage points (3%) higher. This result is mainly a network effect on Italian women, while it arises from both network and neighborhood effects on foreign women. Both groups respond to additional information, such as the incidence of C-section complications. The selection of pregnant women across hospitals does not uniquely explain our results, which are robust to alternative sample selections and specifications.
- 650 12
- $a císařský řez $7 D002585
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 12
- $a nemocnice $7 D006761
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a incidence $7 D015994
- 650 _2
- $a těhotenství $7 D011247
- 651 _2
- $a Itálie $x epidemiologie $7 D007558
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Bertoli, Paola $u University of Verona, Italy; Institute of Economic Studies, Charles University, Czechia. Electronic address: paola.bertoli@univr.it
- 700 1_
- $a Grembi, Veronica $u Sapienza University of Rome, Italy
- 773 0_
- $w MED00002703 $t Journal of health economics $x 1879-1646 $g Roč. 80, č. - (2021), s. 102513
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/34547585 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20220425 $b ABA008
- 991 __
- $a 20220506130015 $b ABA008
- 999 __
- $a ok $b bmc $g 1789435 $s 1163028
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2021 $b 80 $c - $d 102513 $e 20210814 $i 1879-1646 $m Journal of health economics $n J Health Econ $x MED00002703
- LZP __
- $a Pubmed-20220425