| Literature DB >> 35162526 |
Anna Tyrańska-Fobke1, Marlena Robakowska1, Daniel Ślęzak2, Katarzyna Pogorzelczyk3, Andrzej Basiński2.
Abstract
Hospital emergency departments are units of the State Medical Rescue system in Poland, which was established to help people in a state of a health emergency. The aim of this study is to develop an optimal method of financing emergency departments in Poland. The study used Polish data from 2016-2019 on the financing of services at the Clinical Emergency Department of the University Clinical Center in Gdańsk. For benchmarking and mathematical modeling, data for the Czech Republic, Germany and Latvia was used. The results of the analysis shows significant differences, to the disadvantage of Clinical Emergency Department, between the potential contract values in the tested models and the actual amounts of funds transferred by the National Health Fund Pomeranian Voivodeship Branch for the activities of Clinical Emergency Department under the concluded contracts. The introduction of co-payment on the part of patients reporting to the emergency departments with minor ailments that do not require hospitalization generates financial revenues, but does not significantly improve the financial results of the analyzed ward. However, it may be educational for patients in terms of raising their awareness of the correct place to seek assistance in the event of a sudden illness.Entities:
Keywords: financing; hospital emergency departments; overcrowding
Mesh:
Year: 2022 PMID: 35162526 PMCID: PMC8835359 DOI: 10.3390/ijerph19031507
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Estimated value of services provided in the UCC in the reporting periods in 2017–2019 according to the average value of individual categories of the patient’s health condition in ED (in $) 1.
| Patient Severity Category in the ED | Year | |||
|---|---|---|---|---|
| 2017 | 2018 | 1st Half of 2019 | 2nd Half of 2019 | |
| I | $5256.33 | $949.33 | $818.23 | $276.43 |
| II | $501,654.48 | $379,007.67 | $415,703.77 | $445,598.28 |
| III | $1,463,926.90 | $2,620,792.84 | $2,770,816.95 | $2,838,855.90 |
| IV | $317,027.61 | $427,159.02 | $549,517.91 | $1,208,063.28 |
| V | $214,521.66 | $245,133.68 | $181,921.30 | $175,812.00 |
| VI | $67,774.86 | $68,159.77 | $147,071.42 | $317,911.97 |
| TOTAL | $2,570,161.84 | $3,741,202.25 | $4,065,849.58 | $4,986,517.88 |
1 Author’s own compilation.
Comparison of the value of services provided in CED according to the average value of patient severity category in ED and the value of the contract based on daily lump sums granted to CED by NHF PVB) in the reporting periods in 2017–2019 [6] 1.
| Year | The Value of the Contract Is Based on a Daily Lump Sum from the NHF 2 | Estimated Value of the Services Provided | % Difference |
|---|---|---|---|
| 2017 | $1,832,057.94 | $2,570,161.86 | 29% |
| 2018 | $2,128,290.43 | $3,741,202.29 | 43% |
| 1st half of 2019 | $1,093,512.48 | $4,065,849.58 | 73% |
| 2nd half of 2019 | $1,419,066.50 | $4,986,517.86 | 72% |
| Average difference in% | 54% | ||
1 Author’s own compilation, 2 The total value of the contract in 2019 was $2,512,578.98.
Estimated value of services provided in the UCC in the reporting periods in 2017–2019 according to the average value of individual categories of the patient’s health condition in ED (in $) 1.
| Model | Year | |||
|---|---|---|---|---|
| 2017 | 2018 | First Half of 2019 | 2nd Half of 2019 | |
| Model A | $11,105,617.54 | $12,769,978.82 | $9,723,527.48 | $11,164,607.74 |
| Model B | $2,828,611.45 | $4,193,047.12 | $4,307,309.47 | $5,227,632.35 |
| Model C | $5,951,221.49 | $6,618,427.76 | $5,679,779.65 | $6,739,416.06 |
| Model D | $1,887,590.10 | $2,187,411.84 | $1,129,565.07 | $1,455,119.10 |
| NHF PVB | $1,832,057.94 | $2,128,290.43 | $1,093,512.48 | $1,419,066.50 |
1 Author’s own compilation.
Differences between the values obtained for the analyzed models and the values of the contracts with the NHF PVB for services provided by the CED in 2017–2019.
| Model | Year | Average in% | |||
|---|---|---|---|---|---|
| 2017 | 2018 | 1st Half of 2019 | 2nd Half of 2019 | ||
| Model A | 506% | 500% | 789% | 687% | 621% |
| Model B | 54% | 97% | 294% | 268% | 178% |
| Model C | 225% | 211% | 419% | 375% | 308% |
| Model D | 3% | 3% | 3% | 3% | 3% |