Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Sep 11;8(3):334.
doi: 10.3390/healthcare8030334.

Underreporting of Obesity in Hospital Inpatients: A Comparison of Body Mass Index and Administrative Documentation in Australian Hospitals

Affiliations

Underreporting of Obesity in Hospital Inpatients: A Comparison of Body Mass Index and Administrative Documentation in Australian Hospitals

Alexandra L Di Bella et al. Healthcare (Basel). .

Abstract

Despite its high prevalence, there is no systematic approach to documenting and coding obesity in hospitals. This study aimed to determine the prevalence of obesity among inpatients, the proportion of obese patients recognised as obese by hospital administration, and the cost associated with their admission. A cross-sectional study was undertaken in three hospitals in Queensland, Australia. Inpatients present on three audit days were included in this study. Data collected were age, sex, height, and weight. Body mass index (BMI) was calculated in accordance with the World Health Organization's definition. Administrative data were sourced from hospital records departments to determine the number of patients officially documented as obese. Total actual costing data were sourced from hospital finance departments. From a combined cohort of n = 1327 inpatients (57% male, mean (SD) age: 61 (19) years, BMI: 28 (9) kg/m2), the prevalence of obesity was 32% (n = 421). Only half of obese patients were recognised as obese by hospital administration. A large variation in the cost of admission across BMI categories prohibited any statistical determination of difference. Obesity is highly prevalent among hospital inpatients in Queensland, Australia. Current methods of identifying obesity for administrative/funding purposes are not accurate and would benefit from reforms to measure the true impact of healthcare costs from obesity.

Keywords: body mass index; health care costs; hospital costs; hospitals; inpatients; obesity.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Prevalence of BMI category in the combined hospital cohort (n = 1327). The categories used were the WHO BMI criteria19, defined as follows: underweight (BMI < 18.50 kg/m2), normal range (BMI 18.50–24.99 kg/m2), overweight (BMI 25.00–29.99 kg/m2), obese class I (BMI 30.00–34.99 kg/m2), obese class II (BMI 35.00–39.99 kg/m2), and obese class III (BMI ≥ 40.00 kg/m2).

Similar articles

Cited by

References

    1. ABS (Australian Bureau of Statistics) National Health Survey: First Results, 2017–18. ABS; Canberra, Australia: 2018.
    1. Hayes A., Lung T.W.C., Bauman A., Howard K. Modelling obesity trends in Australia: Unravelling the past and predicting the future. Int. J. Obes. 2017;41:178–185. doi: 10.1038/ijo.2016.165. - DOI - PubMed
    1. Buchmuller T.C., Meliyanni J. Obesity and health expenditures: Evidence from Australia. Econ. Hum. Biol. 2015;17:42–58. doi: 10.1016/j.ehb.2015.01.001. - DOI - PubMed
    1. King T., Kavanagh A.M., Jolley D., Turrell G., Crawford D. Weight and place: A multilevel cross-sectional survey of area-level social disadvantage and overweight/obesity in Australia. Int. J. Obes. 2016;30:281–287. doi: 10.1038/sj.ijo.0803176. - DOI - PubMed
    1. Hayes A.J., Kortt M.A., Clarke P.M. Estimating equations to correct self-reported height and weight: Implications for prevalence of overweight and obesity in Australia. Aust. N. Z. J. Public Health. 2008;32:542–545. doi: 10.1111/j.1753-6405.2008.00306.x. - DOI - PubMed

LinkOut - more resources