Risk Factors and Costs of Hospital Admissions in First Year of Life: A Population-Based Study
Objective To identify the maternal and infant risk factors associated with hospital admission in the first year and estimate the associated costs of infant hospitalization. Study design Data from the Perinatal Data Collection for 599 753 liveborn infants born in New South Wales, Australia, 2001-2007...
Gespeichert in:
| Veröffentlicht in: | The Journal of pediatrics 2013-10, Vol.163 (4), p.1014-1019 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1019 |
|---|---|
| container_issue | 4 |
| container_start_page | 1014 |
| container_title | The Journal of pediatrics |
| container_volume | 163 |
| creator | Lain, Samantha J., PhD Nassar, Natasha, PhD Bowen, Jennifer R., MBBS Roberts, Christine L., MBBS, DrPH |
| description | Objective To identify the maternal and infant risk factors associated with hospital admission in the first year and estimate the associated costs of infant hospitalization. Study design Data from the Perinatal Data Collection for 599 753 liveborn infants born in New South Wales, Australia, 2001-2007 were linked to hospital admission data. Logistic regression models were used to investigate the association between maternal and infant characteristics and admission to hospital once, and more than once in the first year; and average costs for total hospital admissions were calculated. Results Almost 15% of infants were admitted to hospital once and 4.6% had multiple admissions. Gestational age |
| doi_str_mv | 10.1016/j.jpeds.2013.04.051 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1437577684</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S0022347613005167</els_id><sourcerecordid>1437577684</sourcerecordid><originalsourceid>FETCH-LOGICAL-c483t-ca96e13b8452c7ecce02ba6c2084f14af8a90fded0be36894aeef531001b1d4a3</originalsourceid><addsrcrecordid>eNqFkU2P0zAQhiMEYsvCL0ACH7kkjGPnCwmkUm1ZpEogyh44IMuxJ8jdNA6eBKn_fh26cODCaS7P-87omSR5ziHjwMvXh-wwoqUsBy4ykBkU_EGy4tBUaVkL8TBZAeR5KmRVXiRPiA4A0EiAx8lFLqqyKaBYJd-_OLplW20mH4jpwbKNp4mY79i1p9FNumdre3REzg_E3MC2LtDEvqEOC7RzHb5ha_bZj3Ovpwil7zWhZftptqenyaNO94TP7udlcrO9-rq5TnefPnzcrHepkbWYUqObErloa1nkpkJjEPJWlyaHWnZc6q7WDXQWLbQoyrqRGrErBAfgLbdSi8vk1bl3DP7njDSpeLHBvtcD-pkUl6IqqqqsZUTFGTXBEwXs1BjcUYeT4qAWr-qgfntVi1cFUkWvMfXifsHcHtH-zfwRGYGXZ6DTXukfwZG62ceGIkqva87LSLw9ExhF_HIYFBmHg0HrAppJWe_-c8K7f_Kmd4Mzur_FE9LBz2GIjhVXlCtQ--X5y--5gBgvK3EHsSKnsw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1437577684</pqid></control><display><type>article</type><title>Risk Factors and Costs of Hospital Admissions in First Year of Life: A Population-Based Study</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Lain, Samantha J., PhD ; Nassar, Natasha, PhD ; Bowen, Jennifer R., MBBS ; Roberts, Christine L., MBBS, DrPH</creator><creatorcontrib>Lain, Samantha J., PhD ; Nassar, Natasha, PhD ; Bowen, Jennifer R., MBBS ; Roberts, Christine L., MBBS, DrPH</creatorcontrib><description>Objective To identify the maternal and infant risk factors associated with hospital admission in the first year and estimate the associated costs of infant hospitalization. Study design Data from the Perinatal Data Collection for 599 753 liveborn infants born in New South Wales, Australia, 2001-2007 were linked to hospital admission data. Logistic regression models were used to investigate the association between maternal and infant characteristics and admission to hospital once, and more than once in the first year; and average costs for total hospital admissions were calculated. Results Almost 15% of infants were admitted to hospital once and 4.6% had multiple admissions. Gestational age <37 weeks was most strongly associated with admission to hospital once, and severe neonatal morbidity was most strongly associated with multiple admissions (aOR 2.60; 95% CI 2.47-2.75). Infants born <39 weeks gestational age, to adolescent mothers, mothers who smoke, are not married, or had a planned delivery also have an increased risk of multiple admissions. Infants with severe neonatal morbidity contributed 27% of total infant hospital costs. With each increasing week of gestational age the mean annual cost decreased on average 10% and 27% for infants with and without neonatal morbidity respectively. Conclusions Infants born with severe neonatal morbidity have increased hospitalizations in the first year; however, the majority of burden on health system is by infants without severe neonatal morbidity. Hospitalizations, and associated costs, increased with decreasing gestational age, even for infants born at 37-38 weeks. Targeted public health strategies may reduce the burden of infant hospitalizations.</description><identifier>ISSN: 0022-3476</identifier><identifier>EISSN: 1097-6833</identifier><identifier>DOI: 10.1016/j.jpeds.2013.04.051</identifier><identifier>PMID: 23769505</identifier><language>eng</language><publisher>United States: Mosby, Inc</publisher><subject>adolescent mothers ; data collection ; Female ; Gestational Age ; Health Care Costs ; Hospital Costs ; Humans ; Infant ; Infant Mortality ; Infant, Newborn ; Infant, Newborn, Diseases - economics ; Infant, Premature ; infants ; Logistic Models ; Male ; morbidity ; Mothers ; New South Wales ; Patient Admission - economics ; Patient Admission - statistics & numerical data ; Pediatrics ; public health ; regression analysis ; risk ; Risk Factors ; smoke</subject><ispartof>The Journal of pediatrics, 2013-10, Vol.163 (4), p.1014-1019</ispartof><rights>Mosby, Inc.</rights><rights>2013 Mosby, Inc.</rights><rights>Copyright © 2013 Mosby, Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-ca96e13b8452c7ecce02ba6c2084f14af8a90fded0be36894aeef531001b1d4a3</citedby><cites>FETCH-LOGICAL-c483t-ca96e13b8452c7ecce02ba6c2084f14af8a90fded0be36894aeef531001b1d4a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jpeds.2013.04.051$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23769505$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lain, Samantha J., PhD</creatorcontrib><creatorcontrib>Nassar, Natasha, PhD</creatorcontrib><creatorcontrib>Bowen, Jennifer R., MBBS</creatorcontrib><creatorcontrib>Roberts, Christine L., MBBS, DrPH</creatorcontrib><title>Risk Factors and Costs of Hospital Admissions in First Year of Life: A Population-Based Study</title><title>The Journal of pediatrics</title><addtitle>J Pediatr</addtitle><description>Objective To identify the maternal and infant risk factors associated with hospital admission in the first year and estimate the associated costs of infant hospitalization. Study design Data from the Perinatal Data Collection for 599 753 liveborn infants born in New South Wales, Australia, 2001-2007 were linked to hospital admission data. Logistic regression models were used to investigate the association between maternal and infant characteristics and admission to hospital once, and more than once in the first year; and average costs for total hospital admissions were calculated. Results Almost 15% of infants were admitted to hospital once and 4.6% had multiple admissions. Gestational age <37 weeks was most strongly associated with admission to hospital once, and severe neonatal morbidity was most strongly associated with multiple admissions (aOR 2.60; 95% CI 2.47-2.75). Infants born <39 weeks gestational age, to adolescent mothers, mothers who smoke, are not married, or had a planned delivery also have an increased risk of multiple admissions. Infants with severe neonatal morbidity contributed 27% of total infant hospital costs. With each increasing week of gestational age the mean annual cost decreased on average 10% and 27% for infants with and without neonatal morbidity respectively. Conclusions Infants born with severe neonatal morbidity have increased hospitalizations in the first year; however, the majority of burden on health system is by infants without severe neonatal morbidity. Hospitalizations, and associated costs, increased with decreasing gestational age, even for infants born at 37-38 weeks. Targeted public health strategies may reduce the burden of infant hospitalizations.</description><subject>adolescent mothers</subject><subject>data collection</subject><subject>Female</subject><subject>Gestational Age</subject><subject>Health Care Costs</subject><subject>Hospital Costs</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant Mortality</subject><subject>Infant, Newborn</subject><subject>Infant, Newborn, Diseases - economics</subject><subject>Infant, Premature</subject><subject>infants</subject><subject>Logistic Models</subject><subject>Male</subject><subject>morbidity</subject><subject>Mothers</subject><subject>New South Wales</subject><subject>Patient Admission - economics</subject><subject>Patient Admission - statistics & numerical data</subject><subject>Pediatrics</subject><subject>public health</subject><subject>regression analysis</subject><subject>risk</subject><subject>Risk Factors</subject><subject>smoke</subject><issn>0022-3476</issn><issn>1097-6833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU2P0zAQhiMEYsvCL0ACH7kkjGPnCwmkUm1ZpEogyh44IMuxJ8jdNA6eBKn_fh26cODCaS7P-87omSR5ziHjwMvXh-wwoqUsBy4ykBkU_EGy4tBUaVkL8TBZAeR5KmRVXiRPiA4A0EiAx8lFLqqyKaBYJd-_OLplW20mH4jpwbKNp4mY79i1p9FNumdre3REzg_E3MC2LtDEvqEOC7RzHb5ha_bZj3Ovpwil7zWhZftptqenyaNO94TP7udlcrO9-rq5TnefPnzcrHepkbWYUqObErloa1nkpkJjEPJWlyaHWnZc6q7WDXQWLbQoyrqRGrErBAfgLbdSi8vk1bl3DP7njDSpeLHBvtcD-pkUl6IqqqqsZUTFGTXBEwXs1BjcUYeT4qAWr-qgfntVi1cFUkWvMfXifsHcHtH-zfwRGYGXZ6DTXukfwZG62ceGIkqva87LSLw9ExhF_HIYFBmHg0HrAppJWe_-c8K7f_Kmd4Mzur_FE9LBz2GIjhVXlCtQ--X5y--5gBgvK3EHsSKnsw</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Lain, Samantha J., PhD</creator><creator>Nassar, Natasha, PhD</creator><creator>Bowen, Jennifer R., MBBS</creator><creator>Roberts, Christine L., MBBS, DrPH</creator><general>Mosby, Inc</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20131001</creationdate><title>Risk Factors and Costs of Hospital Admissions in First Year of Life: A Population-Based Study</title><author>Lain, Samantha J., PhD ; Nassar, Natasha, PhD ; Bowen, Jennifer R., MBBS ; Roberts, Christine L., MBBS, DrPH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-ca96e13b8452c7ecce02ba6c2084f14af8a90fded0be36894aeef531001b1d4a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>adolescent mothers</topic><topic>data collection</topic><topic>Female</topic><topic>Gestational Age</topic><topic>Health Care Costs</topic><topic>Hospital Costs</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant Mortality</topic><topic>Infant, Newborn</topic><topic>Infant, Newborn, Diseases - economics</topic><topic>Infant, Premature</topic><topic>infants</topic><topic>Logistic Models</topic><topic>Male</topic><topic>morbidity</topic><topic>Mothers</topic><topic>New South Wales</topic><topic>Patient Admission - economics</topic><topic>Patient Admission - statistics & numerical data</topic><topic>Pediatrics</topic><topic>public health</topic><topic>regression analysis</topic><topic>risk</topic><topic>Risk Factors</topic><topic>smoke</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lain, Samantha J., PhD</creatorcontrib><creatorcontrib>Nassar, Natasha, PhD</creatorcontrib><creatorcontrib>Bowen, Jennifer R., MBBS</creatorcontrib><creatorcontrib>Roberts, Christine L., MBBS, DrPH</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of pediatrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lain, Samantha J., PhD</au><au>Nassar, Natasha, PhD</au><au>Bowen, Jennifer R., MBBS</au><au>Roberts, Christine L., MBBS, DrPH</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk Factors and Costs of Hospital Admissions in First Year of Life: A Population-Based Study</atitle><jtitle>The Journal of pediatrics</jtitle><addtitle>J Pediatr</addtitle><date>2013-10-01</date><risdate>2013</risdate><volume>163</volume><issue>4</issue><spage>1014</spage><epage>1019</epage><pages>1014-1019</pages><issn>0022-3476</issn><eissn>1097-6833</eissn><abstract>Objective To identify the maternal and infant risk factors associated with hospital admission in the first year and estimate the associated costs of infant hospitalization. Study design Data from the Perinatal Data Collection for 599 753 liveborn infants born in New South Wales, Australia, 2001-2007 were linked to hospital admission data. Logistic regression models were used to investigate the association between maternal and infant characteristics and admission to hospital once, and more than once in the first year; and average costs for total hospital admissions were calculated. Results Almost 15% of infants were admitted to hospital once and 4.6% had multiple admissions. Gestational age <37 weeks was most strongly associated with admission to hospital once, and severe neonatal morbidity was most strongly associated with multiple admissions (aOR 2.60; 95% CI 2.47-2.75). Infants born <39 weeks gestational age, to adolescent mothers, mothers who smoke, are not married, or had a planned delivery also have an increased risk of multiple admissions. Infants with severe neonatal morbidity contributed 27% of total infant hospital costs. With each increasing week of gestational age the mean annual cost decreased on average 10% and 27% for infants with and without neonatal morbidity respectively. Conclusions Infants born with severe neonatal morbidity have increased hospitalizations in the first year; however, the majority of burden on health system is by infants without severe neonatal morbidity. Hospitalizations, and associated costs, increased with decreasing gestational age, even for infants born at 37-38 weeks. Targeted public health strategies may reduce the burden of infant hospitalizations.</abstract><cop>United States</cop><pub>Mosby, Inc</pub><pmid>23769505</pmid><doi>10.1016/j.jpeds.2013.04.051</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0022-3476 |
| ispartof | The Journal of pediatrics, 2013-10, Vol.163 (4), p.1014-1019 |
| issn | 0022-3476 1097-6833 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1437577684 |
| source | MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | adolescent mothers data collection Female Gestational Age Health Care Costs Hospital Costs Humans Infant Infant Mortality Infant, Newborn Infant, Newborn, Diseases - economics Infant, Premature infants Logistic Models Male morbidity Mothers New South Wales Patient Admission - economics Patient Admission - statistics & numerical data Pediatrics public health regression analysis risk Risk Factors smoke |
| title | Risk Factors and Costs of Hospital Admissions in First Year of Life: A Population-Based Study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T17%3A05%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20Factors%20and%20Costs%20of%20Hospital%20Admissions%20in%20First%20Year%20of%20Life:%20A%20Population-Based%20Study&rft.jtitle=The%20Journal%20of%20pediatrics&rft.au=Lain,%20Samantha%20J.,%20PhD&rft.date=2013-10-01&rft.volume=163&rft.issue=4&rft.spage=1014&rft.epage=1019&rft.pages=1014-1019&rft.issn=0022-3476&rft.eissn=1097-6833&rft_id=info:doi/10.1016/j.jpeds.2013.04.051&rft_dat=%3Cproquest_cross%3E1437577684%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1437577684&rft_id=info:pmid/23769505&rft_els_id=1_s2_0_S0022347613005167&rfr_iscdi=true |