TY - JOUR
T1 - Determinants of maternity length of stay
T2 - A gamma mixture risk-adjusted model
AU - Lee, Andy H.
AU - Ng, Angus S. K.
AU - Yau, Kelvin K. W.
PY - 2001/12
Y1 - 2001/12
N2 - 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. © 2001 Kluwer Academic Publishers.
AB - 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. © 2001 Kluwer Academic Publishers.
KW - Diagnosis related groups
KW - Gamma mixture regression
KW - Heterogeneity
KW - Length of stay
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U2 - 10.1023/A:1011810326113
DO - 10.1023/A:1011810326113
M3 - RGC 21 - Publication in refereed journal
C2 - 11718457
SN - 1386-9620
VL - 4
SP - 249
EP - 255
JO - Health Care Management Science
JF - Health Care Management Science
IS - 4
ER -