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1.
Hosp Pediatr ; 10(11): 955-962, 2020 11.
Article in English | MEDLINE | ID: mdl-33020193

ABSTRACT

BACKGROUND: Observation care is frequently indistinguishable from inpatient care. However, the financial burden of inappropriate status assignment for hospitals and patients can be large. Increased awareness of the potential for financial hardships experienced by patients because of status designation spurred interest among physicians in this improvement project. The goal was to improve the percentage of appropriate inpatient-status assignments from 76% to 90% in 2 years and eliminate observation assignments for patients with hospitalizations >48 hours. METHODS: Our multidisciplinary team used the Model for Improvement. Interventions included securing a lead physician advisor to the use-review team, improving the process for status review and adjustment, and creating educational sessions and tools for physicians. Data collected included the percentage of appropriate inpatient assignments, percentage of observation assignments for patients with hospitalizations >48 hours, write-off dollar amount per year from denial of payment due to payer disagreement with inpatient status, and resident physician confidence in assigning status. RESULTS: Appropriate use of inpatient assignments increased from 76% to 84%. Status assignments remaining in observation >48 hours of hospital length of stay decreased by one-half, from 6% to 3%. The write-off dollar amount increased during the study period but decreased by 19% the following calendar year, 2018. Resident self-reported confidence in status designation increased after educational sessions. CONCLUSIONS: Careful selection of admission status by educated providers and a system to identify relevant cases for status changes can increase appropriate status assignment and, potentially, positively affect the economic burden placed on patients and hospitals.


Subject(s)
Hospitalization , Inpatients , Hospitals , Humans
2.
Child Obes ; 16(1): 59-64, 2020 01.
Article in English | MEDLINE | ID: mdl-31596604

ABSTRACT

Background/Objective: Understanding the influence of genetically determined ancestry may give insight into the disparities of obesity seen in different ethnic groups beginning at a very early age. Aim: To investigate the relationship between children's ancestral genetic proportions and excess weight at 12 months of age. Methods: Eight hundred twenty-one 12-month-old children were included in this cross-sectional study. Their genetic admixture was estimated using the ancestry and kinship tool kit by projecting the samples into the 1000 Genomes principal component database. Weight-for-length percentile (WFLP) at 12 months of age was categorized as <95th percentile or ≥95th percentile. Multiple logistic regression analysis was performed to calculate odds ratios (ORs) with 95% confidence intervals (CIs) for the association of admixture proportions, including European (EUR), admixed American (AMR), African (AFR), South Asian (SAS), and East Asian (EAS) populations, with WFLP categories, adjusting for maternal education, birth weight, frequency of breastfeeding, and juice consumption. Results: Eight hundred twenty-one children were included; WFLP <95th percentile = 671 (81.7%) and WFLP ≥95th percentile = 150 (18.3%). Crude ORs showed that the EUR admixture was protective [OR 0.45 (95% CI 0.27-0.74)], whereas AMR [OR 3.85 (95% CI 1.92-7.70)] and AFR [OR 5.70 (95% CI 2.19-14.85)] admixtures were positively associated with excess weight. After adjusting for confounding variables, only the AFR admixture was associated with WFLP ≥95th percentile [OR 7.38 (95% CI 2.31-23.59)]. Conclusions: AFRs remain associated with early excess weight after accounting for confounding variables, suggesting that this ancestral genetic background may contribute to the differences seen in early childhood obesity.


Subject(s)
Body Weight/genetics , Pediatric Obesity/genetics , Racial Groups/genetics , Body Height/genetics , Cross-Sectional Studies , Female , Genetic Phenomena/genetics , Genome, Human/genetics , Humans , Infant , Male , Risk Factors
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