期刊
EYE
卷 35, 期 8, 页码 2146-2154出版社
SPRINGERNATURE
DOI: 10.1038/s41433-020-01333-9
关键词
-
资金
- Fight For Sight/Royal College of Ophthalmologists Ophthalmology Trainee Network Award [24RCO1]
This study retrospectively collected clinical, demographic, and economic data of 101 patients admitted with microbial keratitis (MK), revealing that length of stay is the key driver for care cost. Shorter stays resulted in income surplus, while greater socioeconomic deprivation was associated with higher cost deficits.
Purpose Microbial keratitis (MK) is the most common non-surgical ophthalmic emergency admission in the UK. However, few prospective health-economic studies of MK have been performed, and no specific healthcare resources group (HRG) code exists. This study is designed to determine the feasibility of a data collection tool derived from the microbiology ophthalmology group (MOG) clinical record form, to enable quantification of direct costs of inpatient care, as well as prospective capture of epidemiological data relating to outcomes of MK. Methods Clinical, demographic and economic data were collected retrospectively between January and December 2013 for 101 consecutive patients admitted with MK, using an adaption of the MOG toolset. The direct cost of admission (COA) was calculated using national reference costs and compared to actual income to generate profit/deficit profiles for individual patients. Indices of multiple deprivation were used to assess effect of deprivation on the COA. Results The total income generated through discharge coding was 252,116 pound, compared to a COA of 357,075 pound, yielding a deficit of 104,960 pound (median: 754 pound per patient). The cost deficit increased significantly with length of stay (LOS, p < 0.001), whilst patients with short LOS were income generators; cost neutrality occurred at 4.8 days. Greater socioeconomic deprivation was also associated with a significantly higher cost deficit. Conclusion LOS is the key driver for COA of care for MK admissions. Protocols should encourage discharge of patients who are able to self-administer treatment after the sterilisation phase. The MOG-derived data collection toolset captures pertinent clinical data for quantification of COA. Further development into a multiuser and multisite platform is required for robust prospective testing, together with expansion to capture indirect costs of disease burden, including impact of treatment, visual morbidity and quality of life.
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