Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study

Obesity is costly, yet there have been few attempts to estimate the actual costs of providing hospital care to the obese inpatient.<b> </b>This study aimed to test the feasibility of measuring obesity-related health care costs and accuracy of coding data for acute inpatients. A prospecti...

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Main Authors: Winnie S. Y. Tan, Adrienne M. Young, Alexandra L. Di Bella, Tracy Comans, Merrilyn Banks
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/8/4/459
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spelling doaj-c73becb4219d4346aeaab04cc31cdb462020-11-25T04:07:14ZengMDPI AGHealthcare2227-90322020-11-01845945910.3390/healthcare8040459Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility StudyWinnie S. Y. Tan0Adrienne M. Young1Alexandra L. Di Bella2Tracy Comans3Merrilyn Banks4School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane 4059, AustraliaDepartment of Nutrition and Dietetics, Royal Brisbane and Women’s Hospital, Brisbane 4029, AustraliaDepartment of Nutrition and Dietetics, Royal Brisbane and Women’s Hospital, Brisbane 4029, AustraliaCentre for Health Services Research, The University of Queensland, Brisbane 4067, AustraliaDepartment of Nutrition and Dietetics, Royal Brisbane and Women’s Hospital, Brisbane 4029, AustraliaObesity is costly, yet there have been few attempts to estimate the actual costs of providing hospital care to the obese inpatient.<b> </b>This study aimed to test the feasibility of measuring obesity-related health care costs and accuracy of coding data for acute inpatients. A prospective observational study was conducted over three weeks in June 2018 in a single orthopaedic ward of a metropolitan tertiary hospital in Queensland, Australia. Demographic data, anthropometric measurements, clinical characteristics, cost of hospital encounter and coding data were collected. Complete demographic, anthropometric and clinical data were collected for all 18 participants. Hospital costing reports and coding data were not available within the study timeframe. Participant recruitment and data collection were resource-intensive, with mobility assistance required to obtain anthropometric measurements in more than half of the participants. Greater staff time and costs were seen in participants with obesity compared to those without obesity (obesity: body mass index 30), though large standard deviations indicate wide variance. Data collected suggest that obesity-related cost and resource use amongst acute inpatients require further exploration. This study provides recommendations for protocol refinement to improve the accuracy of data collected for future studies measuring the actual cost of providing hospital care to obese inpatients.https://www.mdpi.com/2227-9032/8/4/459obesitybody mass indexhospitalshospital costshealth care costsinpatients
collection DOAJ
language English
format Article
sources DOAJ
author Winnie S. Y. Tan
Adrienne M. Young
Alexandra L. Di Bella
Tracy Comans
Merrilyn Banks
spellingShingle Winnie S. Y. Tan
Adrienne M. Young
Alexandra L. Di Bella
Tracy Comans
Merrilyn Banks
Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study
Healthcare
obesity
body mass index
hospitals
hospital costs
health care costs
inpatients
author_facet Winnie S. Y. Tan
Adrienne M. Young
Alexandra L. Di Bella
Tracy Comans
Merrilyn Banks
author_sort Winnie S. Y. Tan
title Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study
title_short Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study
title_full Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study
title_fullStr Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study
title_full_unstemmed Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study
title_sort exploring the impact of obesity on health care resources and coding in the acute hospital setting: a feasibility study
publisher MDPI AG
series Healthcare
issn 2227-9032
publishDate 2020-11-01
description Obesity is costly, yet there have been few attempts to estimate the actual costs of providing hospital care to the obese inpatient.<b> </b>This study aimed to test the feasibility of measuring obesity-related health care costs and accuracy of coding data for acute inpatients. A prospective observational study was conducted over three weeks in June 2018 in a single orthopaedic ward of a metropolitan tertiary hospital in Queensland, Australia. Demographic data, anthropometric measurements, clinical characteristics, cost of hospital encounter and coding data were collected. Complete demographic, anthropometric and clinical data were collected for all 18 participants. Hospital costing reports and coding data were not available within the study timeframe. Participant recruitment and data collection were resource-intensive, with mobility assistance required to obtain anthropometric measurements in more than half of the participants. Greater staff time and costs were seen in participants with obesity compared to those without obesity (obesity: body mass index 30), though large standard deviations indicate wide variance. Data collected suggest that obesity-related cost and resource use amongst acute inpatients require further exploration. This study provides recommendations for protocol refinement to improve the accuracy of data collected for future studies measuring the actual cost of providing hospital care to obese inpatients.
topic obesity
body mass index
hospitals
hospital costs
health care costs
inpatients
url https://www.mdpi.com/2227-9032/8/4/459
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