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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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 |
work_keys_str_mv |
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