The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
An Economic Evaluation of the Impact, Cost, and Medicare Policy Implications of Chronic Nonhealing Wounds
Open accessAbstract
OBJECTIVE: The aim of this study was to determine the cost of chronic wound care for Medicare beneficiaries in aggregate, by wound type and by setting. METHODS: This retrospective analysis of the Medicare 5% Limited Data Set for calendar year 2014 included beneficiaries who experienced episodes of care for one or more of the following: arterial ulcers, chronic ulcers, diabetic foot ulcers, diabetic infections, pressure ulcers, skin disorders, skin infections, surgical wounds, surgical infections, traumatic wounds, venous ulcers, or venous infections. The main outcomes were the prevalence of each wound type, Medicare expenditure for each wound type and aggregate, and expenditure by type of service. RESULTS: Nearly 15% of Medicare beneficiaries (8.2 million) had at least one type of wound or infection (not pneumonia). Surgical infections were the largest prevalence category (4.0%), followed by diabetic infections (3.4%). Total Medicare spending estimates for all wound types ranged from $28.1 to $96.8 billion. Including infection costs, the most expensive estimates were for surgical wounds ($11.7, $13.1, and $38.3 billion), followed by diabetic foot ulcers ($6.2, $6.9, and $18.7 billion,). The highest cost estimates in regard to site of service were for hospital outpatients ($9.9-$35.8 billion), followed by hospital inpatients ($5.0-$24.3 billion). CONCLUSIONS: Medicare expenditures related to wound care are far greater than previously recognized, with care occurring largely in outpatient settings. The data could be used to develop more appropriate quality measures and reimbursement models, which are needed for better health outcomes and smarter spending for this growing population.
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Cites
Singer, A. J., & Clark, R. A. F. (1999) · New England Journal of Medicine · doi:10.1056/nejm199909023411006 · Cited by 6,106
Roger, V. L. (2013) · Circulation Research · doi:10.1161/circresaha.113.300268 · Cited by 1,728 · cited 1×
“A rough prevalence rate for chronic nonhealing wounds in developed countries is 1% to 2% of the general population [2,3], similar to the prevalence rate for heart failure [4].”
Background
Research works printed but not linked: 13
- Chan, 2017, Cost-of-illness studies in chronic ulcers: a systematic review, J Wound Care, 26, S4, 10.12968/jowc.2017.26.Sup4.S4 · DOI
- Heyer, 2016, Epidemiology of chronic wounds in Germany: analysis of statutory health insurance data, Wound Repair Regen, 24, 434, 10.1111/wrr.12387 · DOI · Paper page
- Guest, 2015, Health economic burden that wounds impose on the National Health Service in the UK, BMJ Open, 5, e009283, 10.1136/bmjopen-2015-009283 · DOI · Paper page
- Serjeant, 2005, Leg ulceration in sickle cell disease: medieval medicine in a modern world, Hematol Oncol Clin North Am, 19, 943, 10.1016/j.hoc.2005.08.005 · DOI
- Papi, 2016, Vasculitic ulcers, Int J Low Extrem Wounds, 15, 6, 10.1177/1534734615621220 · doi:10.1177/1534734615621220
- Burns, 2000, HIV/AIDS: impact on healing, Ostomy Wound Manage, 46, 30
- Anderson, 2014, Factors that impair wound healing, J Am Coll Clin Wound Spec, 4, 84, 10.1016/j.jccw.2014.03.001 · DOI · Paper page
- Maroz, 2014, Wound healing in patients with impaired kidney function, J Am Coll Clin Wound Spec, 5, 2, 10.1016/j.jccw.2014.05.002 · doi:10.1016/j.jccw.2014.05.002
- Padula, 2017, Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model, J Am Med Inform Assoc, 24, e95, 10.1093/jamia/ocw118 · DOI
- Horn, 2015, A predictive model for pressure ulcer outcome: the Wound Healing Index, Adv Skin Wound Care, 28, 560, 10.1097/01.ASW.0000473131.10948.e7 · doi:10.1097/01.asw.0000473131.10948.e7
- Ward, 2000, A comparison of three approaches for attributing hospitalizations to specific diseases in cost analyses, Int J Technol Assess Health Care, 16, 125, 10.1017/S0266462300161112 · DOI
- Harrington, 2000, A cost analysis of diabetic lower-extremity ulcers, Diabetes Care, 23, 1333, 10.2337/diacare.23.9.1333 · DOI · Paper page
- Rice, 2014, Burden of venous leg ulcers in the United States, J Med Econ, 17, 347, 10.3111/13696998.2014.903258 · DOI
Cited by
Human Wounds and Its Burden: An Updated Compendium of Estimates
Sen, C. K. (2019) · Advances in Wound Care · doi:10.1089/wound.2019.0946 · Cited by 1,123
Zinc in Wound Healing Modulation
Lin, P.-H., Sermersheim, M., Li, H., Lee, P. H. U., Steinberg, S. M., & Ma, J. (2017) · Nutrients · doi:10.3390/nu10010016 · Cited by 643
The national cost of hospital-acquired pressure injuries in the United States.
Padula, W. V., & Delarmente, B. A. (2019) · International Wound Journal · doi:10.1111/iwj.13071 · Cited by 631
Modern Wound Dressings: Hydrogel Dressings
Brumberg, V., Astrelina, T., Malivanova, T., & Samoilov, A. (2021) · Biomedicines · doi:10.3390/biomedicines9091235 · Cited by 452
Human Wound and Its Burden: Updated 2022 Compendium of Estimates
Sen, C. K. (2023) · Advances in Wound Care · doi:10.1089/wound.2023.0150 · Cited by 360
Metadata
- Authors
- Nussbaum, S. R., Carter, M. J., Fife, C. E., DaVanzo, J., Haught, R., Nusgart, M., & Cartwright, D.
- Venue
- Value in Health
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 21
- Issue
- 1
- Pages
- 27-32
- ISSN
- 1098-3015 (ISSN-L)
- OpenAlex
- W2755970326
- Cited by
- 1,218
- References
- 2
- FWCI
- 105.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
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- Nussbaum, S. R., Carter, M. J., Fife, C. E., DaVanzo, J., Haught, R., Nusgart, M., & Cartwright, D. (2018). An Economic Evaluation of the Impact, Cost, and Medicare Policy Implications of Chronic Nonhealing Wounds. Value in Health. https://doi.org/10.1016/j.jval.2017.07.007
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.