Socioeconomic Deprivation and Hospital Length of Stay

Coevoet, V.; Fresson, Jeanne; Vieux, Rachel; Jay, Nicolas

doi:10.1097/mlr.0b013e3182928f84

Cited by 8 publications

(1 citation statement)

References 23 publications

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“…Logarithmic transformation on the outcome variable to mitigate the effects of non-normal distribution is widely applied in research practice. For data with extremely skewed distribution, such as LOS, even if the transformation finally still does not meet the standard normal distribution, the approximate normal distribution is also acceptable for multilevel model analysis [31][32][33].…”

Section: Methodsmentioning

confidence: 99%

Understanding variations and influencing factors on length of stay for T2DM patients based on a multilevel model

Shi

et al. 2021

PLoS ONE

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Aim Shortening the length of stay (LOS) is a potential and sustainable way to relieve the pressure that type 2 diabetes mellitus (T2DM) patients placed on the public health system. Method Multi-stage random sampling was used to obtain qualified hospitals and electronic medical records for patients discharged with T2DM in 2018. A box-cox transformation was adopted to normalize LOS. Multilevel model was used to verify hospital cluster effect on LOS variations and screen potential factors for LOS variations from both individual and hospital levels. Result 50 hospitals and a total of 12,888 T2DM patients were included. Significant differences in LOS variations between hospitals, and a hospital cluster effect on LOS variations (t = 92.188, P<0.001) was detected. The results showed that female patients, patients with new rural cooperative’ medical insurance, hospitals with more beds, and hospitals with faster bed turnovers had shorter LOS. Conversely, elderly patients, patients with urban workers’ medical insurance, patients requiring surgery, patients with the International Classification of Diseases coded complication types E11.1, E11.2, E11.4, E11.5, and other complications cardiovascular diseases, grade III hospitals, hospitals with a lower doctor-to-nurse ratio, and hospitals with more daily visits per doctor had longer LOS. Conclusions The evidence proved that hospital cluster effect on LOS variation did exist. Complications and patients features at individual level, as well as organization and resource characteristics at hospital level, had impacted LOS variations to varying degrees. To shorten LOS and better meet the medical demand for T2DM patients, limited health resources must be allocated and utilized rationally at hospital level, and the patients with the characteristics of longer LOS risk must be identified in time. More influencing factors on LOS variations at different levels are still worth of comprehensive exploration in the future.

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Section: Methodsmentioning

confidence: 99%

Understanding variations and influencing factors on length of stay for T2DM patients based on a multilevel model

Shi

et al. 2021

PLoS ONE

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Rural Area Deprivation and Hospitalizations Among Children for Ambulatory Care Sensitive Conditions

2015

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This study examined the intersection of rurality and community area deprivation using a nine-state sample of inpatient hospitalizations among children (<18 years of age) from 2011. One state from each of the nine US census regions with substantial rural representation and varying degrees of community vulnerability was selected. An area deprivation index was constructed and used in conjunction with rurality to examine differences in the rate of ACSC hospitalizations among children in the sample states. A mixed model with both fixed and random effects was used to test influence of rurality and area deprivation on the odds of a pediatric hospitalization due to an ACSC within the sample. Of primary interest was the interaction of rurality and area deprivation. The study found rural counties are disproportionality represented among the most deprived. Within the least deprived counties, the likelihood of an ACSC hospitalization was significantly lower in rural than among their urban counterparts. However, this rural advantage declines as the level of deprivation increases, suggesting the effect of rurality becomes more important as social and economic advantage deteriorates. We also found ACSC hospitalization to be much higher among racial/ethnic minority children and those with Medicaid or self-pay as an anticipated source of payment. These findings further contribute to the existing body of evidence documenting racial/ethnic disparities in important health related outcomes.

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