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Title: | Hospital costs and factors associated with days alive and at home after surgery (DAH30 ). | Austin Authors: | Reilly, Jennifer R;Myles, Paul S;Wong, Darren;Heritier, Stephane R;Brown, Wendy A;Richards, Toby;Bell, Max | Affiliation: | Alfred Hospital, Melbourne, VIC, Australia.. Monash University, Melbourne, VIC, Australia.. Austin Health Royal Prince Alfred Hospital, Sydney, NSW, Australia.. University of Western Australia, Perth, WA, Australia.. Karolinska Institutet, Stockholm, Sweden.. The George Institute for International Health, Sydney, NSW, Australia.. |
Issue Date: | 18-Jul-2022 | Date: | 2022 | Publication information: | The Medical Journal of Australia 2022; 217(6): 311-317 | Abstract: | To assess the relationships of patient and surgical factors and hospital costs with the number of days alive and at home during the 30 days following surgery (DAH30 ). Retrospective cohort study; analysis of Medibank Private health insurance hospital claims data, Australia, 1 January 2016 - 31 December 2017. Admissions of adults (18 years or older) to hospitals for elective or emergency inpatient surgery with anaesthesia covered by private health insurance, Australia, 1 January 2016 - 31 December 2017. Associations between DAH30 and total hospital costs, and between DAH30 and surgery risk factors. Complete data were available for 126 788 of 181 281 eligible patients (69.9%); their median age was 62 years (IQR, 47-73 years), 72 872 were women (57%), and 115 117 had undergone elective surgery (91%). The median DAH30 was 27.1 days (IQR, 24.2-28.8 days), the median hospital cost per patient was $10 358 (IQR, $6624-20 174). The association between DAH30 and total hospital costs was moderate (Spearman ρ = -0.60; P < 0.001). Median DAH30 declined with age, comorbidity score, ASA physical status score, and surgical severity and duration, and was also lower for women. DAH30 is a validated, patient-centred outcome measure of post-surgical outcomes; higher values reflect shorter hospital stays and fewer serious complications, re-admissions, and deaths. DAH30 can be used to benchmark quality of surgical care and to monitor quality improvement programs for reducing the costs of surgical and other peri-operative care. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/30588 | DOI: | 10.5694/mja2.51658 | ORCID: | https://orcid.org/0000-0002-7109-8493 https://orcid.org/0000-0002-3324-5456 https://orcid.org/0000-0001-7464-0324 https://orcid.org/0000-0003-1490-0547 |
Journal: | The Medical journal of Australia | PubMed URL: | 35852009 | PubMed URL: | https://pubmed.ncbi.nlm.nih.gov/35852009/ | Type: | Journal Article | Subjects: | Biostatisticss Perioperative period |
Appears in Collections: | Journal articles |
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