2019
DOI: 10.1071/ah18209
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Cost of maternity care to public hospitals: a first 1000-days perspective from Queensland

Abstract: Objective. This study sought to compare costs for women giving birth in different public hospital services across Queensland and their babies.Methods. A whole-of-population linked administrative dataset was used containing all health service use in a public hospital in Queensland for women who gave birth between 1 July 2012 and 30 June 2015 and their babies. Generalised linear models were used to compare costs over the first 1000 days between hospital and health services.Results. The mean unadjusted cost for e… Show more

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Cited by 27 publications
(23 citation statements)
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“…Matching scores were based on a woman's age, BMI score, if it was the woman's first pregnancy, smoking status before 20 weeks’ gestation, Indigenous identification, socioeconomic status, and rurality of residence. These variables were chosen as they have previously been shown to be associated with total health care costs 28 —an outcome of primary importance 29 —but not influenced by mode of birth. Recipient and donor records were matched if their score fell within 0.02 standard deviations of the logit of the matching score, using the greedy matching technique.…”
Section: Methodsmentioning
confidence: 99%
“…Matching scores were based on a woman's age, BMI score, if it was the woman's first pregnancy, smoking status before 20 weeks’ gestation, Indigenous identification, socioeconomic status, and rurality of residence. These variables were chosen as they have previously been shown to be associated with total health care costs 28 —an outcome of primary importance 29 —but not influenced by mode of birth. Recipient and donor records were matched if their score fell within 0.02 standard deviations of the logit of the matching score, using the greedy matching technique.…”
Section: Methodsmentioning
confidence: 99%
“…Using an existing whole-of-population linked administrative dataset [13] we applied our composite outcome measure to demonstrate the change in the Production Function if all births (quantity) were used as the output or only births that met the criteria of the composite outcome measure (quantity and quality). The linked administrative dataset covers all births in the Australian state Queensland, between 1st July 2012 and 30th June 2015.…”
Section: Example Of Outcome Measure: Construction Of a Productivity Function For Queensland Maternity Servicesmentioning
confidence: 99%
“…It utilizes the Queensland Perinatal Data Collection to identify births, and was then linked to the Queensland Hospital Admitted Patient Data Collection, Queensland Emergency Department Collection, and Medical Benefits Schedule and Pharmaceutical benefits Scheme (PBS) claims records. Together this data set records the cost to governments (public hospital funders, Medicare, the PBS), private health insurers and individuals through out of pocket costs [13].…”
Section: Example Of Outcome Measure: Construction Of a Productivity Function For Queensland Maternity Servicesmentioning
confidence: 99%
“…14 Several linkages of clinical maternity and infant data have nonetheless shown the feasibility of the approach and usefulness, for example, in aligning hospital maternity data with national birth registration datasets, or birth registration datasets with Hospital Episode Statistics (HES), or using UK primary care pregnancy data to create a pregnancy register. [15][16][17][18][19][20][21][22][23][24][25] It is well established that maternal physical and mental well-being in pregnancy and the postpartum period can strongly influence the neonatal outcome and the physical and mental health of the child. [26][27][28][29] To our knowledge, no clinical data linkages in maternity or neonatal services have to date incorporated clinical information from maternity, neonatal and mental health services into a single continuum to interrogate these associations at a population level.…”
Section: Introductionmentioning
confidence: 99%