| Literature DB >> 35752832 |
Lei Yang1, Yiduo Min1, Zhiyan Jia2, Yupeng Wang3, Rihui Zhang1, Bitong Sun1.
Abstract
BACKGROUND AND AIMS: The misconception of the purpose of strabismus treatment has, on the one hand, affected the motivation of strabismus patients to seek care and, on the other hand, has resulted in strabismus not being covered by health insurance, both of which interact to limit the motivation of strabismus patients and also impose a financial burden on strabismus patients. Previous studies on the cost of strabismus had only addressed the cost utility and functional and psychosocial benefits of strabismus surgery. The aim of this study was to estimate the direct medical expenditure incurred for strabismus surgery and analyze the trend for the period 2014-2019 using the data collected by local eye hospitals in northeast China.Entities:
Keywords: China; Medical expenditure; Strabismus; Surgery
Year: 2022 PMID: 35752832 PMCID: PMC9233768 DOI: 10.1186/s12962-022-00363-2
Source DB: PubMed Journal: Cost Eff Resour Alloc ISSN: 1478-7547
Characteristics of inpatient cases incorporating strabismus, 2014–2019
| Variables | Results (n = 3596) |
|---|---|
| Gender | |
| Female | 1704 (47.0%) |
| Male | 1892 (53.0%) |
| Average age at surgery | 17.9 |
| Age of surgery | |
| ≤ 12 | 1568 (48.4%) |
| 13–24 | 1240 (34.5%) |
| 25–60 | 767 (21.3%) |
| > 60 | 21 (0.6%) |
| Length of stay | |
| Median | 4 days |
| Average | 4.4 days |
| Funding | |
| Self-funded | 3004 (83.4%) |
| Basic medical insurance for urban residents | 149 (4.1%) |
| Urban employee basic medical insurance | 32 (0.8%) |
| Other social insurance | 128 (3.5%) |
| New rural cooperative medical insurance | 124 (3.4%) |
| Other | 159 (4.4%) |
| Anesthesia | |
| General anaesthesia | 2053 (57.1%) |
| Local anaesthesia | 1543 (42.9%) |
Fig. 1Trend in total hospital costs for strabismus patients
Fig. 2Trends of sub-costs of hospitalization expenses for strabismus patients, 2014–2019
Trend in total hospital costs for strabismus patients, 2014–2019
| Costs | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |
|---|---|---|---|---|---|---|---|
| −X ± SD | 4111 ± 1049 | 4492 ± 1049 | 4835 ± 1080 | 5884 ± 1467 | 6734 ± 1408 | 7023 ± 1380 | |
| β ± SE | 0 (ref.) | 437.2 ± 68.1 | 762.5 ± 66.2 | 1802.3 ± 68.2 | 2560.3 ± 72.7 | 2846.2 ± 83.1 | 613.2 ± 13.6 |
X mean; SD standard deviation; β regression coefficient; SE standard error
P*: significance of the change trends across years
Correlation and composition of various inpatient costs to total costs
| Costs | Percentage | Spearman’s correlation coefficienta |
|---|---|---|
| General medical service | 0.0504 ± 0.0441 | − 0.01900 |
| General treatment operation | 0.0056 ± 0.0050 | 0.72421 |
| Nursing | 0.0078 ± 0.0072 | 0.49969 |
| Other | 0.0060 ± 0.0040 | 0.28483 |
| Laboratory test | 0.0940 ± 0.0291 | 0.04636 |
| Clinical diagnosis project | 0.0137 ± 0.0150 | − 0.53679 |
| Imaging | 0.0896 ± 0.0309 | 0.11433 |
| Drug | 0.1010 ± 0.0467 | 0.74986 |
| Consumables for treatment | 0.0697 ± 0.0216 | 0.74092 |
| Consumables for surgery | 0.1170 ± 0.0295 | 0.74961 |
| Surgical treatment | 0.4195 ± 0.0659 | 0.86107 |
| Anesthesia | 0.0889 ± 0.0663 | 0.81633 |
| Surgery | 0.3306 ± 0.0859 | 0.52629 |
aSpearman’s correlation coefficient, adjusted for CPI
Fig. 3Changes in the composition of strabismus hospitalization costs in different years
The influence of measurement data on total costs of hospitalization
| Variables | Regression coefficients | t | |
|---|---|---|---|
| Age | − 59.465 | − 29.219 | 0.000 |
| Length of stay | − 1.400 | − 0.065 | 0.949 |
The influence of enumeration data on total costs of hospitalization
| Variables | Groups | Number of participants | Median (Interquartile range) | Statistics | |
|---|---|---|---|---|---|
| Gender | Male | 1704 | 5287.00 (1997.47) | − 2.465 | 0.014 |
| Female | 1892 | 5169.81 (2039.55) | |||
| Funding | Medical insurance | 433 | 5287.68 (1823.79) | 4.659 | 0.097 |
| Self-fund | 3004 | 213.78 (2014.26) | |||
| Others | 159 | 5430.93 (2345.04) | |||
| Anesthesia | Local anaesthesia | 1543 | 3972.25 (1744.76) | − 34.390 | 0.000 |
| General anaesthesia | 2053 | 5675.79 (2073.72) |
Results of multiple regression analysis of factors influencing total hospital costs
| Variables | Regression coefficient | t | |
|---|---|---|---|
| Gender—female | − 31.216 | − 0.785 | 0.432289 |
| Anesthesia—general anaesthesia | 1804.481 | 34.167 | 0.000 |
| Age | − 7.678 | − 3.470 | 0.000 |