Determinants of maternity length of stay: a Gamma mixture risk-adjusted model.
With obstetrical delivery being the most frequent cause for hospital admissions, it is important to determine health- and patient-related characteristics affecting maternity length of stay (LOS). Although the average inpatient LOS has decreased steadily over the years, the issue of the appropriate LOS after delivery is complex and hotly debated, especially since the introduction of the mandatory minimum-stay legislation in the USA. The purpose of this paper is to identity factors associated with maternity LOS and to model variations in LOS. A Gamma mixture risk-adjusted model is proposed in order to analyze heterogeneity of maternity LOS within obstetrical Diagnosis Related Groups (DRGs). The determination of pertinent factors would benefit hospital administrators and clinicians to manage LOS and expenditures efficiently.
Lee
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AH
School of Public Health, Curtin University of Technology, Perth, WA, Australia. Andy.Lee@curtin.edu.au
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D003953:Diagnosis-Related Groups; D005260:Female; D006771:Hospitals, Maternity / Q000706:statistics & numerical data*; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data*; D015233:Models, Statistical; D009775:Obstetrics and Gynecology Department, Hospital / Q000706:statistics & numerical data*; D016311:Outliers, DRG; D011181:Postnatal Care / Q000458:organization & administration*; D011247:Pregnancy; D020379:Risk Adjustment / Q000706:statistics & numerical data*