SESSION TITLE: Cost and Quality Improvement Posters
SESSION TYPE: Original Investigation Poster
PRESENTED ON: Wednesday, October 29, 2014 at 01:30 PM - 02:30 PM
PURPOSE: Nearly 35.7% of U.S. adults are obese. BMI of an individual has great impact on their co-morbidities and duration stay in the hospital. Studies showing the association between BMI and Length of stay (LOS) have been done on surgical patients but are scant for medical admissions. We have conducted the following study to look for the influence of BMI on the length of hospitalization and the re-admission rates among the common admissions in the hospital.
METHODS: Retrospective chart review of 500 patients admitted with common admission diagnoses was conducted and data was gathered on excel spreadsheet. Anthropologic variables, primary admission diagnosis, functional status at admission and medical co-morbidities; diabetes, hypertension, COPD, CAD, stroke, hematologic abnormalities/malignancy, ESRD/hemodialysis, hyperlipidemia were taken into account and compared with the LOS and rate of re-admission after discharge.
RESULTS: The relationship between BMI category (normal/underweight, overweight, and obese) and LOS approached significance x2 (8) = 11.99, p < .16. In the data set, 143 obese, 122 overweight and only 78 normal/underweight individuals stayed one day. All the confounding factors were addressed. Furthermore, 48 obese persons as opposed to 20 normal/underweight stayed two days. Interestingly, readmission amongst overweight and obese person was high with 18 obese persons readmitted within one month in comparison to 7 normal/underweight persons. This was also true for readmission at 2 and 3 months marks where the highest readmission was at 3 months; 98 obese in contrast to only 60 normal/underweight
CONCLUSIONS: The lack of significant findings could be due to the restricted range in LOS (M = 1.34, SD .62). Based on the findings here, obese persons would be expected to be overrepresented in the admitted patient distribution for the hospital. Though obese persons seem to be overrepresented in the data set, lack of significant findings could be attributed to the restricted range in LOS (X = 1.34, SD .62). Future reviews can examine a broader range in LOS and BMI.
CLINICAL IMPLICATIONS: The increasing incidence of obesity has had a stong influence on the healthcare system. In all likelihood, the amount of money spent on controlling obesity will definitely reduce the number of hospital admissions and the healthcare cost associated with the obesity epidemic.
DISCLOSURE: The following authors have nothing to disclose: Karthikeyan Venkatachalam, Eyoel Abebe, Thitina Jimma, Dahlia Sano, Mirela Titianu, Sonikpreet Aulakh, Sarwan Kumar
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