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Increased risk of death among uninsured neonates.


ABSTRACT:

Objective

To estimate the contribution of health insurance status to the risk of death among hospitalized neonates.

Data sources

Kids' Inpatient Databases (KID) for 2003, 2006, and 2009.

Study design

KID 2006 subpopulation of neonatal discharges was analyzed by weighted frequency distribution and multivariable logistic regression analyses for the outcome of death, adjusted for insurance status and other variables. Multivariable linear regression analyses were conducted for the outcomes mean adjusted length of stay and hospital charges. The death analysis was repeated with KID 2003 and 2009.

Principal findings

Of 4,318,121 estimated discharges in 2006, 5.4 percent were uninsured. There were 17,892 deaths; 9.5 percent were uninsured. The largest risks of death were five clinical conditions with adjusted odds ratios (AOR) of 13.7-3.1. Lack of insurance had an AOR of 2.6 (95 percent CI: 2.4, 2.8), greater than many clinical conditions; AOR estimates in alternate models were 2.1-2.7. Compared with insureds, uninsureds were less likely to have been admitted in transfer, more likely to have died in rural hospitals and to have received fewer resources. Similar death outcome results were observed for 2003 and 2009.

Conclusions

Uninsured neonates had decreased care and increased risk of dying.

SUBMITTER: Morriss FH 

PROVIDER: S-EPMC3725523 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

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Publications

Increased risk of death among uninsured neonates.

Morriss Frank H FH  

Health services research 20130213 4


<h4>Objective</h4>To estimate the contribution of health insurance status to the risk of death among hospitalized neonates.<h4>Data sources</h4>Kids' Inpatient Databases (KID) for 2003, 2006, and 2009.<h4>Study design</h4>KID 2006 subpopulation of neonatal discharges was analyzed by weighted frequency distribution and multivariable logistic regression analyses for the outcome of death, adjusted for insurance status and other variables. Multivariable linear regression analyses were conducted for  ...[more]

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