Europäische Wissenschaftliche Gesellschaft




Erfolgreich durch internationale Zusammenarbeit

Public Health

Cite as: Archiv EuroMedica. 2024. 14; 5. DOI 10.35630/2024/14/5.502

Received 30 July 2024;
Accepted 30 September 2024;
Published 20 October 2024

Trauma patients in the practice of medical rescue teams in Poland

Paweł Jastrzebski1 email orcid id logo, Ewa Kupcewicz1 orcid id logo,
Tadeusz Miłowski1 orcid id logo, Paulina Buca2 orcid id logo,
Kamil Krzyżanowski2 orcid id logo, Karol Sasim3 orcid id logo,
Zbigniew Adamiak4 orcid id logo

1School of Public Health, Collegium Medicum, University of Warmia Mazury in Olsztyn, Olsztyn, Poland
2Medical University of Gdańsk, Gdańsk, Poland
3Specialist Hospital in Kościerzyna, Department of Urology and Onkology, Kościerzyna, Poland
4Small Animal Clinic Wesoła Białystok, Białystok, Poland

download article (pdf)

  paweljastrzebski100@gmail.com

ABSTRACT

Quick and effective access to professional medical assistance in emergencies has become a key element of the modern healthcare system. Emergency medical services play a vital role in immediate response to medical emergencies, in particular traumatic injury. According to estimates, emergency medical services delivered to trauma patients account for 10-20% of all services provided by paramedic units in Poland. An analysis of paramedic services delivered to trauma patients will make a significant contribution to the effectiveness and optimization of emergency medical services.

The aim of this study was to analyze the emergency medical services delivered by paramedic units to trauma patients in the voivodeship of Warmia and Mazury over a period of three years. The study involved a retrospective analysis of statistical data for the above voivodeship. The patients were classified according to the 10th Revision of the International Classification of Diseases (ICD-10) [1]. Most trauma patients were assigned ICD-10 codes S (injury, poisoning, and certain other consequences of external causes) and T (injuries involving multiple body regions) categories.

Results: The diagnoses made by physicians, paramedics, and emergency nurses in patient care reports were the source of data for the retrospective analysis. A total of 400,251 cases (n= 400,251) were analyzed and 11,329 cases were selected (n=11,329), including 1130 patients (n=1130) who were assigned code S and 10,199 patients (n=10,199) who were assigned to code T. The examined database is administered by the Governor of the Voivodeship of Warmia and Mazury in Olsztyn [2]. The following types of information were analyzed: area of intervention, the patients’ age and sex, type of medical emergency, location, date, and alcohol breath odor.

The collected data were analyzed to determine the presence of relationships between: a life-threatening medical emergency and the patient’s age, a life-threatening medical emergency and the patient’s sex, the patient’s age and the diagnosis made by paramedics, alcohol breath odor and the patient’s sex, and the patient’s sex and the diagnosis made by paramedics.

Conclusions: The results of the study suggest that the risk of a life-threatening medical emergency is higher in younger patients and decreases gradually in older patients. The above risk is somewhat higher in men than in women. The percentage of patients assigned code S (injury, poisoning, and certain other consequences of external causes) increases with age. Alcohol breath odor is more frequently detected in patients residing in areas with a population above 10,000 than in patients residing in small towns and rural areas. The patient’s sex is not significantly correlated with the type of medical emergency, and the prevalence of the diagnosed medical emergencies tends to be similar in both sexes.

Keywords: prehospital care, injury, alcohol, medical rescue, diagnosis

INTRODUCTION

Traumatic injury is an emergency that requires immediate medical attention, but detailed information about emergency medical services delivered to trauma patients is not available in Statistics Poland databases. According to estimates, emergency medical services delivered to trauma patients account for 10-20% of all services provided by paramedic units in Poland [3,4,5]. The percentage of trauma patients in the total number of emergency medical services provided by paramedic units is determined by the size of the supported region, population density, road infrastructure (major transport routes and transport hubs), presence of large employers, and level of industrialization. The prevalence of traumatic injuries differs considerably across Polish regions. Trauma patients belong to different age groups, including youths (sports injuries), the working-age population (traffic accidents, workplace accidents, workplace hazards), as well as seniors (falls, transient loss of consciousness and the resulting physical injuries) [6,7,8].

The Polish emergency medical service system is similar to the Anglo-Saxon model. Emergency medical services in prehospital care are provided by two types of rapid response units: specialist units involving a physician and paramedics (at present, specialist teams usually consist of qualified paramedics and emergency nurses) and basic units involving only paramedics or emergency nurses [9,10].

According to the Act on the National Emergency Medical Services (NEMS), traumatic injury is defined as any type of bodily damage that is caused by external factors, poses an immediate threat to the patient’s health, and can involve serious injuries to multiple organs and regions of the body [11].

Poland continues to expand its road network, but the quality of Polish roads still lags behind many Western European countries. Traffic accidents pose a significant threat to the citizens’ health and life, and a total of 67,678 road accidents were reported in Poland between 2020 and 2022. In the analyzed period, 6632 people were killed and 77,621 were injured in road accidents. Despite the fact that traffic accidents continue to pose a serious challenge, the number of traffic-related deaths and injuries has been decreasing steadily in recent years [12].

A total of 2790 road accidents were reported in the voivodeship of Warmia and Mazury in the analyzed period. These accidents were responsible for 295 fatal injuries and 3188 non-fatal injuries [12]. In the studied region, the number of traffic-related fatalities and injuries has been also declining steadily in recent years. Poland has sixteen voivodeship, and Warmia and Mazury ranks 9th or 10th in terms of road traffic safety [12].

The number of road accidents and fatal and non-fatal injuries in Warmia and Mazury between 2020 and 2022 is presented in Table 1.

Table 1. Number of road accidents and fatal and non-fatal injuries in the voivodeship of Warmia and Mazury between 2020 and 2022.

Year Accidents Fatal injuries Non-fatal injuries
2020 1040 115 1186
2021 920 96 1074
2022 830 84 928

Source: National Police Headquarters.

It should be noted that the above data point to a positive tendency, namely a decrease in the number of traffic accidents, and reduced severity of the related injuries.

MATERIALS AND METHODS

The study was conducted in the voivodeship of Warmia and Mazury which spans an area of 24,173 km2 and is the fourth largest Polish voivodeship (out of 16 voivodeships) [13]. Warmia and Mazury has a population of 1,374,700, including 671,500 men and 703,200 women. Urban dwellers account for 59.2% and rural residents account for 40.8% of the voivodeship's population. The local population can be divided into the following age categories: children and adolescents – 18.5%, working-age population – 59.6%, and elderly persons – 21.9% [14].

A wide range of statistical methods were used in the analysis of empirical data. A frequency analysis with cross tabulation was performed to determine data distribution and the relationships between the variables. The presence of statistically significant relationships between nominal variables or between a nominal (dependent) variable and an ordinal (independent) variable was investigated with the use of the chi-squared test of independence (χ²). The test results were presented in tables, where N represents the size of the sample, and percentage values are divided into three categories: in rows (%), in columns (%), and in total (%). To facilitate data interpretation, the results were also presented in figures as percentage values. Mean values in two associated groups were compared by Student’s t-test for dependent samples, and the results were used to assess changes within groups under different conditions or over time. All analyses were conducted at a significance level of p < 0.05, which implies that the observed differences or relationships were regarded as significant if the probability that the results were found by chance alone was less than 5%. Statistical analyses were conducted using advanced computational tools such as IBM SPSS Statistics, Jamovi, Jasp, and MS Excel. The data were analyzed with the use of various statistical tools to ensure the reliability and accuracy of the results.

The study was approved by the Research Ethics Committee of the University of Warmia and Mazury in Olsztyn (decision No. 11/2023).

RESULTS

Characteristics of the studied population

Table 2. Patient’s age


S T
Mean 52.17 44.50
Standard deviation 23.87 22.02

Source: Authors’ own study.

Table 3. Frequency of emergency medical services delivered to male and female patients

Code Sex Frequency Percent Valid percent Cumulative percent
S Female 287 25.40 38.22 38.22
Male 464 41.06 61.78 100.00
Data not available 379 33.54
Total 1130 100.00
T Female 2465 24.17 36.24 36.24
Male 4337 42.52 63.76 100.00
Data not available 3397 33.31
Total 10199 100.00

Source: Authors’ own study.

Table 4. Area of intervention

Code Area of intervention Frequency Percent Valid percent Cumulative percent
S Population up to 10,000 535 47.35 47.35 47.35
Population above 10,000 595 52.65 52.65 100.00
Data not available 0 0.00
Total 1130 100.00
T Population up to 10,000 4448 43.61 43.61 43.61
Population above 10,000 5751 56.39 56.39 100.00
Data not available 0 0.00
Total 10199 100.00

Source: own study.

Table 5. Frequency of life-threatening emergencies

Code Life-threatening emergency Frequency Percent Valid percent Cumulative percent
S Yes 416 36.81 36.81 36.81
No 714 63.19 63.19 100.00
Data not available 0 0.00
Total 1130 100.00
T Yes 4396 43.10 43.12 43.12
No 5798 56.85 56.88 100.00
Data not available 5 0.05
Total 10199 100.00

Source: Authors’ own study.

Table 6. Frequency of emergency medical services delivered in various locations

Code Site Frequency Percent Valid percent Cumulative percent
S Home 619 54.78 57.58 57.58
Public site 328 29.03 30.51 88.09
Road traffic 128 11.33 11.91 100.00
Data not available 55 4.87
Total 1130 100.00
T Home 5888 57.73 59.99 59.99
Public site 3278 32.14 33.40 93.39
Road traffic 649 6.36 6.61 100.00
Data not available 384 3.77
Total 10199 100.00

Source: Authors’ own study.

Table 7. Frequency of emergency medical services delivered in various periods

Code Period Frequency Percent Valid percent Cumulative percent
S 1 Jan. 2020-30 June 2020 193 17.08 17.08 17.08
1 July 2020-31 Dec. 2020 181 16.02 16.02 33.10
1 Jan. 2021-30 June 2021 196 17.35 17.35 50.44
1 July 2021-31 Dec. 2021 164 14.51 14.51 64.96
1 Jan. 2022-30 June 2022 186 16.46 16.46 81.42
1 July 2022-31 Dec. 2022 210 18.58 18.58 100.00

Data not available 0 0.00
Total 1130 100.00
T 1 Jan. 2020-30 June 2020 1799 17.64 17.64 17.64
1 July 2020-31 Dec. 2020 1605 15.74 15.74 33.38
1 Jan. 2021-30 June 2021 1761 17.27 17.27 50.64
1 July 2021-31 Dec. 2021 1502 14.73 14.73 65.37
1 Jan. 2022-30 June 2022 1703 16.70 16.70 82.07
1 July 2022-31 Dec. 2022 1829 17.93 17.93 100.00

Data not available 0 0.00
Total 10199 100.00

Source: Authors’ own study.

Table 8. Frequency of trauma patients with alcohol breath odor

Code Alcohol breath odor Frequency Percent Valid percent Cumulative percent
S Yes 249 22.04 22.04 22.04
No 881 77.96 77.96 100.00
Data not available 0 0.00
Total 1130 100.00
T Yes 3026 29.67 29.67 29.67
No 7173 70.33 70.33 100.00
Data not available 0 0.00
Total 10199 100.00

Source: Authors’ own study.

Table 9. Type of emergency medical services delivered at the site of accident

Code Type of EMS Frequency Percent Valid percent Cumulative percent
S Patient received medical assistance and was transported to a hospital 887 78.50 78.50 78.50
Patient was transported by air medical services 3 0.27 0.27 78.76
Patient was left at the site of accident 231 20.44 20.44 99.20
Patient refused to accept medical assistance 9 0.80 0.80 100.00

Data not available 0 0.00
Total 1130 100.00
T Patient received medical assistance and was transported to a hospital 6314 61.91 61.93 61.93
Patient was transported by air medical services 84 0.82 0.82 62.75

Source: Authors’ own study.

Table 9. Patients transported to medical emergency facilities

Code Medical facility Frequency Percent Valid percent Cumulative percent
S Hospital emergency department 664 58.76 74.86 74.86
A&E unit 211 18.67 23.79 98.65
Specialized hospital department 3 0.27 0.34 98.99
Trauma center 2 0.18 0.23 99.21
Other 7 0.62 0.79 100.00

Data not available 243 21.50
Total 1130 100.00
T Hospital emergency department 4671 45.80 74.11 74.11
A&E unit 1480 14.51 23.48 97.59
Specialized hospital department 20 0.20 0.32 97.91
Trauma center 3 0.03 0.05 97.95
Other 129 1.26 2.05 100.00

Data not available 3896 38.20
Total 10199 100.00

Source: Authors’ own study.

Table 10. Relationship between a life-threatening emergency and the patient’s age

An analysis of the relationship between a life-threatening emergency and the patient’s age revealed significant differences across age groups. In patients younger than 18, life-threatening emergencies accounted for 623 out of 1073 cases in age group (58.06%). In the 18-40 age group, life-threatening emergencies were diagnosed in 1282 out of 2079 cases (61.66%). In the 41-60 age group, life-threatening emergencies accounted for 1140 out of 1886 cases (60.45%). In patients aged 61-75, life-threatening emergencies were diagnosed in 621 out of 1112 cases (55.85%). In the 76+ age group, life-threatening emergencies accounted for 356 out of 712 cases (50%). Overall, life-threatening emergencies accounted for 4022 out of 6862 cases in all age groups. The chi-squared test revealed a statistically significant relationship between a life-threatening emergency and the patient’s age (Chi2 (df=4) = 36.01; p<0.001). These results suggest that the risk of a life-threatening emergency is higher in younger patients and decreases gradually with age, excluding the oldest population where this risk approximates 50%.

Cross tabulation analysis

Age in years Life-threatening emergency Total
No Yes
0-17 Number of cases 450.00 623.00 1073.00
% in row 41.94% 58.06% 100.00%
% in column 15.85% 15.49% 15.64%
% in total 6.56% 9.08% 15.64%
18-40 Number of cases 797.00 1282.00 2079.00
% in row 38.34% 61.66% 100.00%
% in column 28.06% 31.87% 30.30%
% in total 11.61% 18.68% 30.30%
41-60 Number of cases 746.00 1140.00 1886.00
% in row 39.55% 60.45% 100.00%
% in column 26.27% 28.34% 27.48%
% in total 10.87% 16.61% 27.48%
61-75 Number of cases 491.00 621.00 1112.00
% in row 44.15% 55.85% 100.00%
% in column 17.29% 15.44% 16.21%
% in total 7.16% 9.05% 16.21%
76+ Number of cases 356.00 356.00 712.00
% in row 50.00% 50.00% 100.00%
% in column 12.54% 8.85% 10.38%
% in total 5.19% 5.19% 10.38%
Total Number of cases 2840.00 4022.00 6862.00
% in row 41.39% 58.61% 100.00%
% in column 100.00% 100.00% 100.00%
% in total 41.39% 58.61% 100.00%

Chi2 (N=6862, df=4) = 36.01; p<0.001
Source: Authors’ own study.

Table 11. Relationship between a life-threatening emergency and the patient’s sex

An analysis of the relationship between a life-threatening emergency and the patient’s sex revealed significant differences between the sexes. Life-threatening emergencies were diagnosed in 1228 out of 2752 female patients (44.62%) and in 1928 out of 4798 male patients (40.18%). Non-life-threatening emergencies were diagnosed in a total of 4394 cases, including 1524 (55.38%) women and 2870 (59.82%) men. Life-threatening emergencies accounted for 3156 (41.80%) out of the total number of 7550 analyzed cases.

The chi-squared test revealed a statistically significant relationship between a life-threatening emergency and the patient’s sex (Chi2 (df=1) = 14.16; p<0.001). These results indicate that the risk of a life-threatening emergency is somewhat higher in men than in women.

Life-threatening emergency Sex Total
Women Men
No Number of cases 1524.00 2870.00 4394.00
% in row 34.68% 65.32% 100.00%
% in column 55.38% 59.82% 58.20%
% total 20.19% 38.01% 58.20%
Yes Number of cases 1228.00 1928.00 3156.00
% in row 38.91% 61.09% 100.00%
% in column 44.62% 40.18% 41.80%
% total 16.26% 25.54% 41.80%
Total Number of cases 2752.00 4798.00 7550.00
% in row 36.45% 63.55% 100.00%
% in column 100.00% 100.00% 100.00%
% total 36.45% 63.55% 100.00%

Chi2(N=7550; df=1) = 14.16; p< 0.001
Source: Authors’ own study.

Table 12.Relationship between the patient’s age and diagnosis

An analysis of the relationship between the patient’s age and the diagnosis revealed significant differences across age groups. In the total number of 1451 cases in the 0-17 age group, 101 patients (6.96%) were assigned the ICD-10 diagnostic code S and 1350 patients (93.04%) were assigned code T. In the total number of 3397 cases in the 18-40 age group, 273 patients (8.04%) were assigned code S and 3124 patients (91.96%) were assigned code T. In the total number of 3284 cases in the 41-60 age group, 289 patients (8.80%) were assigned code S and 2995 patients (91.20%) were assigned code T. In the total number of 1838 cases in the 61-75 age group, 231 patients (12.57%) were assigned code S and 1607 patients (87.43%) were assigned code T. In the total number of 1051 cases in the 76+ age group, 211 (20.08%) patients were assigned code S, and 840 patients (79.92%) were assigned code T. In the overall number of 11,021 analyzed cases, code S was assigned in 1105 cases (10.03%) and code T was assigned in 9916 cases (89.97%). The chi-squared test revealed a statistically significant relationship between a patient’s age and the diagnosis (Chi2 (df=4) = 166.33; p<0.001). These results suggest that the prevalence of patients assigned code S tends to increase with age. The percentage of cases assigned code S was lowest in the youngest group and highest in the oldest group of patients.

Age Diagnosis Total
Code S Code T
0-17 Number of cases 101.00 1350.00 1451.00
% in row 6.96% 93.04% 100.00%
% in column 9.14% 13.61% 13.17%
% total 0.92% 12.25% 13.17%
18-40 Number of cases 273.00 3124.00 3397.00
% in row 8.04% 91.96% 100.00%
% in column 24.71% 31.50% 30.82%
% total 2.48% 28.35% 30.82%
41-60 Number of cases 289.00 2995.00 3284.00
% in row 8.80% 91.20% 100.00%
% in column 26.15% 30.20% 29.80%
% total 2.62% 27.18% 29.80%
61-75 Number of cases 231.00 1607.00 1838.00
% in row 12.57% 87.43% 100.00%
% in column 20.90% 16.21% 16.68%
% total 2.10% 14.58% 16.68%
76+ Number of cases 211.00 840.00 1051.00
% in row 20.08% 79.92% 100.00%
% in column 19.10% 8.47% 9.54%
% total 1.91% 7.62% 9.54%
Total Number of cases 1105.00 9916.00 11021.00
% in row 10.03% 89.97% 100.00%
% in column 100.00% 100.00% 100.00%
% total 10.03% 89.97% 100.00%

Chi2(N=11021; df=4) = 166.33; p<0.001
Source: Authors’ own study.

Table 13. Relationship between alcohol breath odor and the area of intervention

An analysis of the relationship between alcohol breath odor and the area of intervention revealed significant differences between the examined areas. In the total number of 4983 emergency interventions in areas with a population of up to 10,000, alcohol breath odor was reported in 1223 (24.54%) cases and was not reported in 3760 (75.46%) cases. In the total number of 6346 interventions in areas with a population above 10,000, alcohol breath odor was determined in 2052 (32.34%) cases and was not determined in 4294 (67.66%) cases. In the overall number of 11,329 interventions, alcohol breath odor was detected in 3275 (28.91%) cases and was not detected in 8054 (71.09%) cases.

The chi-squared test revealed a statistically significant relationship between the area of intervention and alcohol breath odor (Chi2 (df=1) = 82.46; p<0.001). These results suggest that alcohol breath odor is more frequently reported in trauma patients who reside in areas with a population above 10,000 than in patients who reside in small towns and villages.

Area of intervention Alcohol breath odor Total
No Yes
Population up to 10,000 Number of cases 3760.00 1223.00 4983.00
% in row 75.46% 24.54% 100.00%
% in column 46.68% 37.34% 43.98%
% Total 33.19% 10.80% 43.98%
Population above 10,000 Number of cases 4294.00 2052.00 6346.00
% in row 67.66% 32.34% 100.00%
% in column 53.32% 62.66% 56.02%
% Total 37.90% 18.11% 56.02%
Total Number of cases 8054.00 3275.00 11329.00
% in row 71.09% 28.91% 100.00%
% in column 100.00% 100.00% 100.00%
% Total 71.09% 28.91% 100.00%

Chi2 (N=11329; df=1) = 82.46; p<0.001
Source: Authors’ own study.

Table14. Relationship between alcohol breath odor and the patient’s sex

An analysis of the relationship between alcohol breath odor and the patient’s sex revealed significant differences between the sexes. In the total number of 2752 interventions involving female trauma patients, alcohol breath odor was determined in 442 (16.06%) cases and was not determined in 2310 (83.94%) cases. In the total number of 4801 interventions involving male trauma patients, alcohol breath odor was identified in 1886 (39.28%) cases and was not identified in 2915 (60.72%) cases. In the overall number of 7553 interventions, alcohol breath odor was reported in 2328 cases (30.82%) and was not reported in 5225 (69.18%) cases.

The chi-squared test revealed a statistically significant relationship between alcohol breath odor and the patient’s sex (Chi2 (df=1) = 442.43; p<0.001). These results indicate that alcohol breath odor is significantly more prevalent in male than female trauma patients receiving emergency medical care.

Sex Alcohol breath odor Total
No Yes
Women Number of cases 2310.00 442.00 2752.00
% in row 83.94% 16.06% 100.00%
% in column 44.21% 18.99% 36.44%
% total 30.58% 5.85% 36.44%
Men Number of cases 2915.00 1886.00 4801.00
% in row 60.72% 39.28% 100.00%
% in column 55.79% 81.01% 63.56%
% total 38.59% 24.97% 63.56%
Total Number of cases 5225.00 2328.00 7553.00
% in row 69.18% 30.82% 100.00%
% in column 100.00% 100.00% 100.00%
% total 69.18% 30.82% 100.00%

Chi2 (N=7553; df=1) = 442.43; p<0.001
Source: Authors’ own study.

Table 15. Relationship between the patient’s sex and diagnosis

An analysis of the relationship between the patient’s sex and the type of diagnosis made by paramedics revealed that in the total number of 2752 cases involving women, 287 patients (10.43%) were assigned code S and 2465 patients (89.57%) were assigned code T. In the total number of 4801 cases involving men, 464 patients (9.66%) were assigned code S and 4337 patients (90.34%) were assigned code T. In the overall number of 7553 cases, 751 patients (9.94%) were assigned code S and 6802 patients (90.06%) were assigned code T.

The chi-squared test did not reveal a statistically significant relationship between the patient’s sex and the type of diagnosis made by paramedics. The chi-squared (df=1) statistic reached 1.14 with a p-value of 0.29. These results imply that the type of diagnosis made by paramedics is not significantly differentiated by sex because similar proportions of male and female patients were assigned ICD-10 codes S and T.

Sex Diagnosis Total
Code S Code T
Women Number of cases 287.00 2465.00 2752.00
% in row 10.43% 89.57% 100.00%
% in column 38.22% 36.24% 36.44%
% total 3.80% 32.64% 36.44%
Men Number of cases 464.00 4337.00 4801.00
% in row 9.66% 90.34% 100.00%
% in column 61.78% 63.76% 63.56%
% total 6.14% 57.42% 63.56%
Total Number of cases 751.00 6802.00 7553.00
% in row 9.94% 90.06% 100.00%
% in column 100.00% 100.00% 100.00%
% total 9.94% 90.06% 100.00%

Chi2 (N=7553; df=1) = 1.14; p<0.29
Source: Authors’ own study.

DISCUSSION

The study demonstrated that the number of emergency medical services delivered to trauma patients assigned ICD-10 codes S and T was fairly similar in each year of the analyzed period. The number of emergency medical services for trauma patients reached 130,575 in 2020, 131,399 in 2022, and it was highest at 138,254 in 2021, which could be associated with the peak of the COVID-19 pandemic.

The retrospective data analysis revealed that the risk of traumatic injury was significantly correlated with the patient’s age. The prevalence of trauma was higher in younger patients, decreased gradually with age, but increased again in the oldest population. Similar observations were made by Lilley et al. who found that the risk of prehospital death was higher in trauma patients aged 24-54 [15]. Interestingly, the cited study revealed that the burden of prehospital fatal injury was highest among young men. Similarly to the present study, Witkowski reported a higher risk of traumatic injury in the oldest population [16]. In the cited study, the mean age at which seniors become susceptible to injury was determined at 75 years. Isolated injuries were reported in more than 85% of seniors, and multiple injuries were noted in nearly 15% of seniors. The majority of seniors who sustained traumatic injuries were women (68%). According to Michael et al., the demand for ambulance services in trauma cases is highest among persons aged 85 and older, which corroborates previous findings and the results of the present study [17]. Alexandrescu et al. reviewed the literature on the epidemiology of injuries and found that both fatal and non-fatal injury rates were highest among young men [18]. A staggering 23% of young male trauma patients are killed or permanently disabled. The cited authors also noted that high injury rates in the working-age population have adverse economic consequences. Similar observations were made in the current study. However, researchers focusing solely on traumatic brain injury arrived at different conclusions. In the work of Munivenkatappa et al., the prevalence of both mild and severe brain injury was highest in female patients, and the greatest differences were observed between pediatric patients and older seniors [19]. Gioffre-Florio et al. analyzed the prevalence of trauma in geriatric patients and found that injury rates were higher among women [20]. Timler et al. investigated the frequency of emergency medical services delivered to Polish patients older than 65, but they did not note significant differences between genders [21]. Gianakos et al. analyzed the prevalence of orthopedic injuries in male and female patients and found that gender-specific injury patterns were rarely evaluated in the literature [22]. Gender was included as a variable in more than 30% of the reviewed articles, and these studies revealed differences in the outcomes of male and female orthopedic trauma patients. Polish and foreign researchers clearly differ in opinion, which is why further research on gender- and age-specific injury patterns is warranted.

The Polish National Institute of Public Health published a report on the prevalence of fatal injuries in different age groups [23]. According to the report, the age of 40 years is a cut-off point after which the prevalence of fatal injuries increases significantly. Many researchers found that the risk of death following traumatic injury increases at an annual rate of 6.5% past the age of 65 years and can be as high as 10% in persons older than 80. Similar results were obtained by Clare et al. who observed that the prevalence of trauma in geriatric patients older than 65 will continue to increase as the population ages [24]. The number of geriatric trauma patients increases steadily, and this problem has attracted the interest of researchers and medical professionals around the world. These observations were corroborated by Gioffre-Florio et al. who found that head and limb injuries were the most prevalent types of trauma, in particular in persons older than 80 [20]. These results are consistent with other authors’ findings. Elderly persons with multiple comorbidities constitute a large group of trauma patients who require a specialist approach and multidisciplinary knowledge.

The present study also demonstrated that alcohol abuse is a serious social problem. A retrospective data analysis revealed that the percentage of patients who sustained traumatic injury under the influence of alcohol was lower in small towns and villages than in areas with a population higher than 10,000. Similar results were reported by Aftyka who analyzed urban and rural areas without a population criterion [25]. In the cited study, urban dwellers also constituted the majority of patients who were injured under the influence of alcohol. However, the analysis conducted by Aftyka relied on 2012 data. According to 2020 data, alcohol consumption is not influenced by location [26]. No significant differences were found between any of the studied groups. These findings suggest that alcohol consumption patterns in Poland have changed in the last decade. The alcohol abuse statistics presented in the report differ from research results. Therefore, further research is needed to elucidate these discrepancies.

CONCLUSIONS

The results of the study suggest that the risk of a life-threatening medical emergency is higher in younger patients and decreases gradually in older patients. The above risk is somewhat higher in men than in women. The percentage of patients assigned to code S (injury, poisoning, and certain other consequences of external causes) increases with age. Alcohol breath odor is more frequently detected in patients residing in areas with a population above 10,000 than in patients residing in small towns and rural areas. The patient’s sex is not significantly correlated with the type of medical emergency, and the prevalence of the diagnosed medical emergencies tends to be similar in both sexes.

Conflicts of Interest

The authors declare no conflict of interest.

Declarations

Ethical Approval: The study was approved by the Research Ethics Committee of the University of Warmia and Mazury in Olsztyn (decision No. 11/2023). The study did not receive external funding.

Funding: Financial support was provided through the university.

Availability of data and materials: The analysis relied on a database administered by the Governor of the Voivodeship of Warmia and Mazury in Olsztyn.

Competing interests: The authors declare that they have no competing interests"

REFERENCES

  1. LEKsykon - międzynarodowa klasyfikacja chorób ICD-10 [Internet] (International Classification of Diseases, 10th Revision) [accessed on 2023 Dec 10]. Available at http://www.leksykon.com.pl/icd.html#icd-A.html
  2. Warmińsko-Mazurski Urząd Wojewódzki w Olsztynie [Internet]. [accessed on 2023 Dec 31]. (Warmia and Mazury Provincial Office in Olsztyn) Warmińsko-Mazurski Urząd Wojewódzki w Olsztynie - Warmińsko-Mazurski Urząd Wojewódzki w Olsztynie - Portal Gov.pl. Available at https://www.gov.pl/web/uw-warminsko-mazurski.
  3. Musiał P. Ocena porównawcza funkcjonowania podstawowych i specjalistycznych Zespołów Ratownictwa Medycznego, należących do Samodzielnego Publicznego Zespołu Zakładów Opieki Zdrowotnej w Staszowie (A comparative assessment of services provided by basic and specialist Emergency Medical Teams at the Independent Public Healthcare Facility in Staszów). Anestezjologia i Ratownictwo 2019; 13: 28-34 https://www.akademiamedycyny.pl/ wp-content/uploads/2019/ 07/Musia%C5%82.pdf
  4. Krzyżanowski K. et al. Uśmierzanie bólu po urazie na etapie przedszpitalnym - wyniki wstępne (Pain relief after trauma at the prehospital stage – a preliminary study). Ból 2017, Vol. 18, No. 1, pp.37-43 (in Polish) https://bolczasopismo.pl/article/01.3001.0010.0208/pl
  5. Celiński M. Analiza przyczyn i skutków interwencji Zespołów Ratownictwa Medycznego wobec osób w podeszłym wieku na przykładzie wybranych miast na prawach powiatu (Analysis of the Interventions of Emergency Medical Teams in Older Patients in Selected Polish Cities with County Status). Doctoral dissertation. Medical University of Białystok 2020. https://ppm.edu.pl/info/phd/ UMB7601c6de1d4d49fd8f13eafcf6b8cbe7/
  6. Krysińska M. et al. Edukacja i profilaktyka urazów wśród osób powyżej 60-go roku życia (Trauma education and prevention in persons aged 60 years and older). National Institute of Public Health – National Institute of Hygiene. Warszawa 2017. (in Polish) https://www.pzh.gov.pl/wp-content/uploads/2019/05/ MATERIALY-EDUKACYJNE-DLAOSOB-60-www-all.pdf
  7. Symon E., Rzepka P. Wypadki drogowe w Polsce w 2022 roku. Road accidents in Poland in 2022. National Police Headquarters. Warszawa 2023. https://statystyka.policja.pl/st/ ruch-drogowy/76562,Wypadki-drogowe-raporty-roczne.html
  8. Silva LCE, Teles, Fragoso I. Sports injuries patterns in children and adolescents according to their sports participation level, age and maturation. BMC Sports Science, Medicine and Rehabilitation. 2022 Mar 9;14(1):35. DOI: 10.1186/s13102-022-00431-3
  9. Kucaba G. Funkcjonowanie i wykorzystanie Podstawowych Zespołów Ratownictwa Medycznego w Wojewódzkiej Stacji Pogotowia Ratunkowego w Rzeszowie w latach 2011–2015 (Operations and Use of Paramedic-led Emergency Medical Teams at the Provincial Emergency Medical Services Station in Rzeszów in 2011-2015). Doctoral dissertation. University of Rzeszów. 2019 Jul 4 [accessed on 2024 Feb 1]; Available at http://repozytorium.ur.edu.pl/handle/item/4692.
  10. Order of the Minister of Health of 4 December 2023 amending the Order on the general terms and conditions for concluding contracts for the provision of health care services. https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20230002645
  11. Emergency Medical Services – Journal of Laws 2023.1541 - OpenLEX [Internet]. [accessed on 2024 Feb 1]. Available at https://sip.lex.pl/akty-prawne/dzu-dziennik-ustaw/ panstwowe-ratownictwo-medyczne-17307669.
  12. Policja pl. Statystyka. [accessed on 2024 Jan 19]. Wypadki drogowe - raporty roczne (Road accidents – annual reports). Available at https://statystyka.policja.pl/st/ ruch-drogowy/76562,Wypadki-drogowe-raporty-roczne.html.
  13. Ranking województw - powierzchnia (List of Polish voivodeships – surface area) [Internet]. [accessed on 2023 Dec 31]. Available at http://www.gminy.pl/Rank/W/Rank_W_P.html.
  14. Urząd Statystyczny w Olsztynie / Dane o województwie / Województwo / Ludność (Statistical Office in Olsztyn/ Voivodeship data/ Voivodeship/ Population) [Internet]. [accessed on 2023 Nov 8]. Available at https://olsztyn.stat.gov.pl/ dane-o-wojewodztwie/wojewodztwo-927/ludnosc/
  15. Lilley R. et al., Opportunities to prevent fatalities due to injury: a cross-sectional comparison of prehospital and in-hospital fatal injury deaths in New Zealand. Australian and New Zealand Journal of Public Health. Volume 45, Issue 3, pp. 235-241. DOI: 10.1111/1753-6405.13068
  16. Witkowski Z., Śmiertelne urazy w podeszłym wieku (Fatal injuries in elderly patients). Forum Medycyny Rodzinnej 2014, Vol. 8, No. 5 226-232. (in Polish) https://journals.viamedica.pl/ forum_medycyny_rodzinnej/article/ download/40481/27917
  17. Michael M.D. et al., Demand for Emergency Services Trends in New South Wales Years 2010-2014 (DESTINY): Age and Clinical Factors Associated with Ambulance Transportation to Emergency Departments. Prehospital Emergency Care, 2016 Nov-Dec;20(6): 776-782. DOI: 10.1080/10903127.2016.1182603
  18. Alexandrescu R., O’Brien S., Lecky F., A review of injury epidemiology in the UK and Europe: some methodological considerations in constructing rates. BMC Public Health, 9, 226 (2009). DOI: 10.1186/1471-2458-9-226
  19. Munivenkatappa A. et al., Traumatic brain injury: Does gender influence outcomes? International Journal of Critical Illness and Injury Science, 2016; Apr-Jun 2016: 70-73. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901830/
  20. Gioffre M. et al., Trauma in elderly patients: a study of prevalence, comorbidities and gender differences. G Chir Vol. 39-n 1-pp.35-40. DOI:10.11138/gchir/2018.39.1.035
  21. Timler D., Szarpak Ł., Madziała M., Retrospektywna analiza interwencji zespołów ratownictwa medycznego u osób w wieku powyżej 65 roku życia (A retrospective analysis of the interventions of emergency medical teams in persons aged 65 years and older). Acta Universitatis Lodziensis, Folia Oeconomica 297, 2013. (in Polish) https://bibliotekanauki.pl/articles/905139.pdf
  22. Gianakos A. et al., Sex and Gender- specific Analysis in Orthopaedic Studies. Clinical Ortopaedics and Related Research 478 (7):pp. 1482-1488, July 2020. DOI: 10.1097/CORR.0000000000001172
  23. Halik R. et al., Urazy u osób powyżej 60 roku życia w Polsce. Narodowy Program Zdrowia. Narodowy Instytut Zdrowia Publicznego - Państwowy Zakład Higieny (Injuries in persons aged 60 years and older in Poland. National Health Program. National Institute of Public Health – National Institute of Hygiene). Warszawa 2018. (in Polish) https://www.pzh.gov.pl/wp-content/ uploads/2019/04/raport-urazy.pdf
  24. Clare D., Zink KL. Geriatric Trauma. Emergency Medicine Clinics of North America. Volume 39, May 2021, Pages 257-271. DOI: 10.1016/ j.emc.2021.01.002
  25. Aftyka A., Ocena funkcjonowania zespołów ratownictwa medycznego w Państwowym Ratownictwie Medycznym (Assessment of Services Provided by Emergency Medical Teams under the State Medical Rescue System in Poland). Doctoral dissertation. Medical University of Lublin. Lublin 2012. https://ppm.edu.pl/info/phd/ UMLbf0cbd1642f44abf9e5ea9148acc0686?aq= mesh%3AMeSH-D004632&r=phd&ps= 20&tab=&title=Szczeg%25C3%25B3%25C5%2582y %2Brekordu%2B%25E2%2580%2593%2BOcena%2Bfunkcjonowania %2Bzespo%25C5%2582%25C3%25B3w%2Bratownictwa% 2Bmedycznego%2Bw%2BPa% 25C5%2584stwowym %2BRatownictwie%2BMedycznym%2B%25E2%2580%2593%2BPolska %2BPlatforma%2BMedyczna&lang=pl
  26. Rowicka M., Postek S., Zin-Sędak M., Wzory konsumpcji alkoholu w Polsce. Raport z badań kwestionariuszowych 2020 r. Państwowa Agencja Rozwiązywania Problemów Alkoholowych (Patterns of alcohol consumption in Poland. A report on a questionnaire survey 2020. State Agency for the Prevention of Alcohol-Related Problems. Warszawa 2021. (in Polish) https://www.parpa.pl/images/wzorykonsumpcji_2020.pdf


back

 



Europäische Wissenschaftliche Gesellschaft