Skip to main content

The use of personal protection equipment does not negatively affect paramedics’ attention and dexterity: a prospective triple-cross over randomized controlled non-inferiority trial

Abstract

Background

The COVID-19 pandemic led to widespread use of personal protection equipment (PPE), including filtering face piece (FFP) masks, throughout the world. PPE. Previous studies indicate that PPE impairs neurocognitive performance in healthcare workers. Concerns for personnel safety have led to special recommendations regarding basic life support (BLS) in patients with a potential SARS-CoV-2 infection, including the use of PPE. Established instruments are available to assess attention and dexterity in BLS settings, respectively. We aimed to evaluate the influence of PPE with different types of FFP masks on these two neuropsychological components of EMS personnel during BLS.

Methods

This was a randomized controlled non-inferiority triple-crossover study. Teams of paramedics completed three 12-min long BLS scenarios on a manikin after having climbed three flights of stairs with equipment, each in three experimental conditions: (a) without pandemic PPE, (b) with PPE including a FFP2 mask with an expiration valve and (c) with PPE including an FFP2 mask without an expiration valve. The teams and intervention sequences were randomized. We measured the shift in concentration performance using the d2 test and dexterity using the nine-hole peg test (NHPT). We compared results between the three conditions. For the primary outcome, the non-inferiority margin was set at 20 points.

Results

Forty-eight paramedics participated. Concentration performance was significantly better after each scenario, with no differences noted between groups: d2 shift control versus with valve − 8.3 (95% CI − 19.4 to 2.7) points; control versus without valve − 8.5 (− 19.7 to 2.7) points; with valve versus without valve 0.1 (− 11.1 to 11.3) points. Similar results were found for the NHPT: + 0.3 (− 0.7 to 1.4), − 0.4 (− 1.4 to 0.7), 0.7 (− 0.4 to 1.8) s respectively.

Conclusion

Attention increases when performing BLS. Attention and dexterity are not inferior when wearing PPE, including FFP2 masks. PPE should be used on a low-threshold basis.

Background

The current COVID-19 pandemic led to widespread use of personal protection equipment (PPE) on a global level [1,2,3]. Prior studies indicate that masks and gowning may impair fine motor skills and the ability to concentrate. This may not only be the case during exhaustive physical work but also whilst performing routine processes [4,5,6,7]. Various reasons for this have been considered, including increased humidity underneath the mask, rebreathing of carbon dioxide and increased breathing resistance [7,8,9,10]. Other important points might be the impairment of vision and “soft skills” like communication [4]. Recently, we showed that the use of COVID-19 PPE does not impair the quality of cardiopulmonary resuscitation itself [11]. The impact of such equipment on the neurocognitive performance of healthcare providers, however, remains unclear.

Performing high-quality basic life support (BLS) leads to physical and mental stress, even in healthcare workers including physicians [12,13,14]. Its complexity substantially increases with the amount of tasks performed simultaneously [15]. This may impair the quality of care. Performing BLS in the setting of emergency medical service requires multitasking skills of ambulance professionals. Providers have to assess the patient’s condition and plan further treatment while simultaneously performing cardiopulmonary resuscitation (CPR), consisting of chest compressions and ventilation. The European Resuscitation Council (ERC) guidelines recommend 30 chest compressions at a frequency of 100 to 120 per minute followed by 2 rescue breaths in an alternating manner [16]. The BLS providers’ capacity to concentrate is paramount to achieve good clinical patient outcomes. Aside from these aspects, operating an EMS vehicle with decreased attention capacity poses a threat to the public environment [17].

Special recommendations regarding BLS during the COVID pandemic are available. These include the use of protective gowning with masks, gloves, and eye shields to protect medical personnel [18].

Different types of filtering face piece (FFP) masks are frequently used by medical professionals: Some masks have expiration valves, others do not. The valve opens on expiration and makes it easier to exhale. The former models protect only the wearer from infectious diseases, the latter also serve to protect others. The number following the abbreviation “FFP” indicates the level of protection. FFP2 and FFP3 masks have frequently been used in many countries during the COVID 19-pandemic [19].

Physical and mental strain are issues of special importance in the field of prehospital emergency medicine, a field where multitasking is an important competence and resources are often sparse. Attention is considered a cornerstone of neurocognitive performance and of paramount importance for all tasks of daily life [20]. Attention can be evaluated using the d2-test. This test was developed in the early 1960s to evaluate drivers’ proficiency in Germany. It has been validated extensively and is considered to be highly reliable [21, 22]. Within this cancellation test subjects have to search for patterns within a sequence of letters. Only “d”s with a sum of two lines above and/or below them are to be marked. Several distractors are included (e.g. “d”s with only one line or “p”s with one or two lines). Due to the simple and convenient nature of the procedure it is used widely, e.g., in clinical psychology, medicine and research [23,24,25].

The nine-hole peg test can be used to evaluate dexterity. Subjects have to remove nine small pins from holes in a board and put them back as fast as possible using the dominant hand. Time is measured and greater speed indicates better performance [26]. This test has been used in the field of medicine, including multiple previous studies to test dexterity as a measure of strain after performing CPR in settings similar to ours [27,28,29,30,31].

To the best of our knowledge, no previous study has yet investigated the influence of PPE on the neurocognitive performance of healthcare workers during and after high-performance critical care procedures such as CPR.

Methods

This study was a prospective triple-cross over randomized controlled non-inferiority trial.

Setting and intervention

We described the study-scenario in detail in a previous publication, where we investigated the effect of PPE on the quality of CPR but didn’t evaluate the healthcare workers’ perspective [11]. This part of our trial focusses on the strain on the mental reserves of ambulance crews. We block-randomized emergency medical technicians (EMTs) to teams of two. All teams performed standardized BLS scenarios. This included walking quickly up and down three flights of stairs while carrying standard equipment (backpack and oxygen cylinder). Following this, they performed 12 min of BLS on a manikin (qCPR ResusciAnn, Laerdal®, Norway) in accordance with current ERC guidelines. Every 2 min the team-members swapped between executing chest compressions and performing ventilation. Participants adhered to a rest period of 30 min between each scenario.

For the control scenario, participants wore their standard PPE consisting of EMS uniform, safety boots and examination gloves. For the intervention scenarios, an overall, goggles and either of the following two masks was added: an FFP2 mask with an expiration valve (“Meditrade Respima® EEC” (Meditrade® GmbH, Germany)), or an FFP2 mask without an expiration valve (“Yao Wang Medical Protective Face Mask” (Qingzhou Yaowang Pharmaceuticals Co. Ltd., China)). The Meditrade masks were certified to the N95-standard, whereas the Yao Wang masks were certified to the KN95-standard. These standards a virtually identical for the purpose of this paper in regard to flow rate, maximum inhalation and exhalation resistance. Scenarios were performed in a randomized order.

Measurement

We tested concentration performance using the d2 test battery including its subsets before and after each scenario [32].

As a secondary outcome, we investigated dexterity as a measure of psychomotoric strain using the nine-hole peg test (NHPT).

A psychologist experienced in clinical testing (JG) performed both tests.

Statistical analysis

The primary outcome was the shift in overall concentration performance after each scenario, as measured by the d2 test.

We tabulated all results for each of the three scenarios and calculated absolute differences (with 95% confidence intervals) between the scenarios.

To assess potential carry over, we also analyzed the influence of the sequence in which participants completed the scenarios on the outcome, using regression modelling.

Secondary outcomes included the shift in dexterity, measured by the NHPT, as well as the d2-subscores, i.e., percentage of errors, errors of commission, errors of omission, and processed target objects. Analysis of the secondary outcomes followed the primary outcome. An individual provider served as the unit of analysis.

Sample size considerations were based on the non-inferiority of the primary outcome of shift in overall concentration performance. The reference values for good performance in the d2-test range from 184 to 207 points for 20- to 39-year-old individuals [32]. Based on previous experience, and the known distribution of d2-test results, a clinically relevant non-inferiority limit was defined as 20 points. Considering the reference range, drops or increases of twenty points indicate inferior (below the 25th percentile) or superior (above the 75th percentile) performance, respectively. We needed to include 40 participants to achieve a power of 0.8 at a significance level of 0.05. This was well within the 48 individuals needed to study quality of CPR as outlined in our previous paper [11].

MS Excel (Microsoft Corporation) and STATA 13SE (Stata Corporation) were used for data management and analysis. We conducted our study following the principles of the Declaration of Helsinki. All participants provided written informed consent before inclusion. The local ethics committee approved the study (#1520/2020).

Patient and public involvement

Although improving the quality of CPR and post-resuscitation care for patients is the ultimate goal of this investigation, caregivers and their neurocognitive performance are the immediate study suspects. Involvement efforts therefore focused on those individuals, and patients or patient representatives were not involved.

We developed the research question and the study protocol together with representatives from the prehospital emergency provider community. EMS recruited the participants. After conclusion of the study, we performed non-structured interviews with all participants to get their feedback on the burden of participation and possible future improvements. Participants were debriefed with their provisional results as feedback.

Results

We randomized forty-eight emergency medical service (EMS) providers into 24 teams of two (Table 1). There was no difference in baseline vital signs, as has previously been published [11].

Table 1 Demographic data of study participants

Concentration performance was significantly improved after performance of each of the scenarios, reflected in a positive d2 score shift: control + 20.2 (95% CI 9.3 to 31.7) points; with valve + 11.9 (95% CI 5.4 to 18.3) points; without valve + 11.7 (95% CI 6.2 to 17.2) points (see Fig. 1). There was no difference between groups (control vs. with valve − 8.3 (95% CI − 19.4 to 2.7) points, control vs. without valve − 8.5 (95% CI − 19.7 to 2.7) points, with valve vs. without valve 0.1 (95% CI − 11.1 to 11.3) points), indicating non-inferiority of one type of PPE over the other. Results of the d2-subscores were similar to those for overall concentration performance.

Fig. 1
figure 1

Shift of concentration performance as measured by the d2 test, per scenario

For the NHPT, there was no shift or minimal improvement: control − 0.6 (95% CI − 1.4 to 0.1) s, with valve − 0.3 (95% CI − 1.1 to 0.5) s, without valve − 1 (95% CI − 1.8 to − 0.3) s (see Fig. 2). As for the primary outcome, there was no significant difference in those shifts between groups (control vs. with valve + 0.3 (95% CI − 0.7 to + 1.4) s, control vs. without valve − 0.4 (95% CI − 1.4 to + 0.7) s, with valve vs. without valve + 0.7 (95% CI − 0.4 to + 1.8) s).

Fig. 2
figure 2

Shift of dexterity as measured by the nine-hole peg test (NHPT), per scenario

Table 2 provides a detailed summary of the findings.

Table 2 Primary and secondary outcomes

Two subjects from the same team did not perform d2 testing before and after BLS in the scenario with a mask without a valve. There were no missing observations regarding the NHPT and no loss to follow up.

To test for training or carry-over effects, we analyzed the influence of the sequence in which participants performed scenarios on the outcomes. For the first run, there was a positive shift in concentration performance from before to after by 36.7 (SD 17.7) points, whereas for the second run this shift decreased to 5.7 (SD 15.9) points, and for the third run to only 0.9 (SD 31.4) points. The difference between first and second (− 31.0 points; 95% CI − 40.1 to − 21.8), and first and third run (− 35.8 points; 95% CI − 45 to − 26.6) were significant, with no differences between the latter two (− 4.8 points; 95% CI − 14.1 to 4.4). We found no influence of sequence on NHPT results.

Discussion

Our data indicate that the use of various PPE does not negatively influence the neurocognitive performance of healthcare providers before and after performing BLS. This implies that the planning and execution of care for a patient suffering from cardiac arrest while wearing an FFP2 mask is possible without substantial impairment. In the prehospital setting, this is especially important and helpful with regards to operational concerns, including the patient’s transport. The ability to drive an ambulance vehicle with attention levels above average is an important safety factor in this setting.

Our findings differ from those of other trials. One study investigated the impact of PPE on the performance of surgeons and found their skills to be significantly impaired [4]. The task of performing BLS is different to performing surgery in an operating theater. This includes the kneeling position whilst performing CPR versus standing or sitting during an operation. In addition, CPR does not necessitate paying attention to maintaining a sterile environment. Another trial focused on the impact of a chemical, biological, radiological, and nuclear (CBRN) PPE on routine activities in respects to vascular access and airway management. Study subjects needed more time and more attempts to complete their tasks successfully [5].

A study by Loibner et al. found results similar to ours. The authors were able to show that PPE is generally well tolerated, although their gowning and setting of laboratory work differed substantially from the conditions found in our protocol [33].

The results of our study shed light on a huge blind spot. To our knowledge, no data on the cognitive performance of medical personnel who conduct the CPR exists. In a recently published literature review, Sedlár [34] found an increased interest in cognitive skills of EMS crew members. Yet most research was qualitative and none of the publications investigated a CPR scenario. To our knowledge, this is the first quantitative, experimental study investigating neurocognitive skills in this field. We hope that our study will foster interest and further research on this important topic.

We are aware of the fact that our study has some limitations. Firstly, we used a simulation setting. We aimed to create a scenario as close to reality as possible and imposed physical stress upon the participants before each scenario. Nevertheless, a simulation is unlikely to create exactly the same level of psychological pressure as a real situation.

Furthermore, one might argue that we assessed only a limited spectrum of neurocognitive performance, using just two tests. However, attention is generally considered to be the most important requirement to successfully complete both everyday and complex tasks [20]. More investigations in the same period of time would have been hardly feasible due to the nature of our experimental setup, i.e., rapid evaluation as soon as possible after the runs to minimize confounding. Extensive testing can cause additional mental strain and might therewith influence performance.

The d2 test and NHPT are thoroughly validated well-established tests for our research question [26, 35]. As described in the literature, we found a training effect for the d2 test. While there was a relevant difference between the before and after test for the first run (irrespective of which scenario participants were randomized to for their first run), this difference diminished for the second and third runs. This training effect was to be expected and was the reason why the scenarios were performed in a randomized order. In a study investigating the training effect of the d2, Bühner et al. [36] found an average increase of 13% when students repeated the d2 after approximately 35 min. A somewhat similar increase was found in our study. However, in the work by Bühner et al., students filled out a questionnaire, whereas our subjects performed physically intense high-quality CPR. Interestingly, there was no difference in the shifts of concentration performance between PPE groups. Given the randomization, this leads to the conclusion that none of the PPEs had a significate influence on the cognitive performance measured by the d2. Regarding the NHPT, we did not find such a training effect.

This study was conducted with experienced EMTs, who had approximately 3 months of experience of providing CPR in pandemic PPE at the time of the study. Results might differ in settings where the overall experience with CPR in PPE is different, and our findings should be extrapolated to such settings with caution.

Strengths of our trial include its triple-cross-over non-inferiority design, as well as the randomization of both the compilation of teams and the sequence of scenarios. Further studies are warranted to investigate the impact of various other kinds of PPE (such as CBRN equipment) on healthcare workers’ neurocognitive performance.

Conclusion

Our findings indicate that concentration performance increases when performing BLS. In this regard, PPE including FFP masks is non-inferior to no masks. PPE should be used as indicated, without fear of impaired ability to perform complex medical tasks.

Availability of data and materials

The dataset used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. European Centre for Disease Prevention and Control. Guidance for wearing and removing personal protective equipment in healthcare settings for the care of patients with suspected or confirmed COVID-19. Stockholm: European Centre for Disease Prevention and Control; 2020.

    Google Scholar 

  2. European Society for Emergency Medicine. EUSEM position paper on emergency medical systems response to COVID-19. London: European Society for Emergency Medicine; 2020.

    Google Scholar 

  3. World Health Organization. Rational use of personal protective equipment for coronavirus disease (COVID-19) and considerations during severe shortages. Interim guidance. Geneva: WHO; 2020.

    Google Scholar 

  4. Yánez Benítez C, Güemes A, Aranda J, et al. Impact of personal protective equipment on surgical performance during the COVID-19 pandemic. World J Surg. 2020;44(9):2842–7.

    Article  Google Scholar 

  5. Castle N, Owen R, Hann M, Clark S, Reeves D, Gurney I. Impact of chemical, biological, radiation, and nuclear personal protective equipment on the performance of low- and high-dexterity airway and vascular access skills. Resuscitation. 2009;80(11):1290–5.

    Article  Google Scholar 

  6. Parush A, Wacht O, Gomes R, Frenkel A. Human factor considerations in using personal protective equipment in the COVID-19 pandemic context: binational survey study. J Med Internet Res. 2020;22(6):e19947.

    Article  Google Scholar 

  7. Johnson AT. Respirator masks protect health but impact performance: a review. J Biol Eng. 2016;10:4.

    Article  Google Scholar 

  8. Li Y, Tokura H, Guo YP, et al. Effects of wearing N95 and surgical facemasks on heart rate, thermal stress and subjective sensations. Int Arch Occup Environ Health. 2005;78(6):501–9.

    CAS  Article  Google Scholar 

  9. Smith CL, Whitelaw JL, Davies B. Carbon dioxide rebreathing in respiratory protective devices: influence of speech and work rate in full-face masks. Ergonomics. 2013;56(5):781–90.

    Article  Google Scholar 

  10. Beder A, Büyükkoçak U, Sabuncuoğlu H, Keskil ZA, Keskil S. Preliminary report on surgical mask induced deoxygenation during major surgery. Neurocirugia (Astur). 2008;19(2):121–6.

    CAS  Article  Google Scholar 

  11. Kienbacher CL, Grafeneder J, Tscherny K, et al. The use of personal protection equipment does not impair the quality of cardiopulmonary resuscitation: a prospective triple-cross over randomised controlled non-inferiority trial. Resuscitation. 2021;160:79–83.

    Article  Google Scholar 

  12. Havel C, Herkner H, Haugk M, et al. Physical strain on advanced life support providers in different out of hospital environments. Resuscitation. 2008;77(1):81–6.

    Article  Google Scholar 

  13. Hunziker S, Laschinger L, Portmann-Schwarz S, Semmer NK, Tschan F, Marsch S. Perceived stress and team performance during a simulated resuscitation. Intensive Care Med. 2011;37(9):1473–9.

    Article  Google Scholar 

  14. Morgan R, Westmoreland C. Survey of junior hospital doctors’ attitudes to cardiopulmonary resuscitation. Postgrad Med J. 2002;78(921):413–5.

    CAS  Article  Google Scholar 

  15. Rittenberger JC, Guimond G, Platt TE, Hostler D. Quality of BLS decreases with increasing resuscitation complexity. Resuscitation. 2006;68(3):365–9.

    Article  Google Scholar 

  16. Perkins GD, Handley AJ, Koster RW, et al. European Resuscitation Council Guidelines for Resuscitation 2015: section 2. Adult basic life support and automated external defibrillation. Resuscitation. 2015;95:81–99.

    Article  Google Scholar 

  17. Ramey S, MacQuarrie A, Cochrane A, McCann I, Johnston CW, Batt AM. Drowsy and dangerous? Fatigue in paramedics: an overview. Irish J Paramed. 2019;4(1):1–9.

    Article  Google Scholar 

  18. Nolan JP, Monsieurs KG, Bossaert L, et al. European Resuscitation Council COVID-19 guidelines executive summary. Resuscitation. 2020;153:45–55.

    CAS  Article  Google Scholar 

  19. European Centre for Disease Prevention and Control. Using face masks in the community. Stockholm: European Centre for Disease Prevention and Control; 2020.

    Google Scholar 

  20. Esterman M, Rothlein D. Models of sustained attention. Curr Opin Psychol. 2019;29:174–80.

    Article  Google Scholar 

  21. Brickenkamp RS-AL, Liepmann D. Test d2-revision: d2-R; attention and concentration test. Göttingen: Hogrefe; 2010.

    Google Scholar 

  22. Javanian M, Bayani M, Shokri M, et al. Clinical and laboratory findings from patients with COVID-19 pneumonia in Babol North of Iran: a retrospective cohort study. Rom J Intern Med. 2020;58(3):161–7.

    PubMed  Google Scholar 

  23. Brickenkamp RZE. d2 test of attention. 1st ed. Boston: Hogrefe & Huber; 1998.

    Google Scholar 

  24. Niu SF, Chu H, Chen CH, et al. A comparison of the effects of fixed- and rotating-shift schedules on nursing staff attention levels: a randomized trial. Biol Res Nurs. 2013;15(4):443–50.

    Article  Google Scholar 

  25. Didycz B, Nitecka M, Bik-Multanowski M. The use of d2 and Benton tests for assessment of attention deficits and visual memory in teenagers with phenylketonuria. JIMD Rep. 2018;40:23–9.

    Article  Google Scholar 

  26. Mathiowetz V, Weber K, Kashman N, Volland G. Adult norms for the nine hole peg test of finger dexterity. Occup Ther J Res. 1985;5(1):24–38.

    Article  Google Scholar 

  27. van Tulder R, Roth D, Krammel M, et al. Effects of repetitive or intensified instructions in telephone assisted, bystander cardiopulmonary resuscitation: an investigator-blinded, 4-armed, randomized, factorial simulation trial. Resuscitation. 2014;85(1):112–8.

    Article  Google Scholar 

  28. van Tulder R, Roth D, Laggner R, et al. Dispatchers’ impressions and actual quality of cardiopulmonary resuscitation during telephone-assisted bystander cardiopulmonary resuscitation: a pooled analysis of 94 simulated, manikin-based scenarios. Emergencias. 2017;29(1):11–7.

    PubMed  Google Scholar 

  29. Egger A, Niederer M, Tscherny K, et al. Influence of physical strain at high altitude on the quality of cardiopulmonary resuscitation. Scand J Trauma Resusc Emerg Med. 2020;28(1):19.

    Article  Google Scholar 

  30. Jobbágy Á, Marik AR, Fazekas G. Quantification of the upper extremity motor functions of stroke patients using a smart nine-hole peg tester. J Healthc Eng. 2018;2018:7425858.

    Article  Google Scholar 

  31. Feys P, Lamers I, Francis G, et al. The nine-hole peg test as a manual dexterity performance measure for multiple sclerosis. Mult Scler. 2017;23(5):711–20.

    Article  Google Scholar 

  32. Brickenkamp R, Zillmer E. d2 test of attention. Göttingen: Hogrefe Publishing Corp.; 1998.

    Google Scholar 

  33. Loibner M, Hagauer S, Schwantzer G, Berghold A, Zatloukal K. Limiting factors for wearing personal protective equipment (PPE) in a health care environment evaluated in a randomised study. PLoS ONE. 2019;14(1):e0210775.

    CAS  Article  Google Scholar 

  34. Sedlar M. Cognitive skills of emergency medical services crew members: a literature review. BMC Emerg Med. 2020;20(1):44.

    Article  Google Scholar 

  35. Steinborn MB, Langner R, Flehmig HC, Huestegge L. Methodology of performance scoring in the d2 sustained-attention test: cumulative-reliability functions and practical guidelines. Psychol Assess. 2018;30(3):339–57.

    Article  Google Scholar 

  36. Bühner M, Ziegler M, Bohnes B, Lauterbach K. Übungseffekte in den TAP Untertests Test Go/Nogo und Geteilte Aufmerksamkeit sowie dem Aufmerksamkeits-Belastungstest (d2). Z Neuropsychol. 2006;17(3):191–9.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank Emergency Medical Service Vienna (Berufsrettung Wien) for their support with know-how and personnel, especially Rainer Gottwald, Andreas Zajicek and Georg Pfenneberger. We would also like to thank Koloszar Medizintechnik GmbH for providing the manikin. We are grateful to the Austrian Red Cross, Gaming Ambulance Station, Lower Austria, for recruiting study participants and research assistants. We thank Sarah Ely for native language proofreading.

Funding

We received funding from the Medical Scientific Fund of the Mayor of the City of Vienna (Grant #COVID054). The sponsor participated neither in designing the study, data collection, analysis, interpretation, nor in manuscript drafting or the decision process to submit our work for publication.

Author information

Authors and Affiliations

Authors

Contributions

CK: study concept and design, acquisition of the data, analysis and interpretation of the data, drafting of the manuscript, acquisition of funding; JG: study concept and design, acquisition of the data, analysis and interpretation of the data, critical revision of the manuscript for important intellectual content; KT: acquisition of the data, critical revision of the manuscript for important intellectual content; MK: acquisition of the data, critical revision of the manuscript for important intellectual content; VF: acquisition of the data, critical revision of the manuscript for important intellectual content; MN: acquisition of the data, critical revision of the manuscript for important intellectual content; SN: acquisition of the data, critical revision of the manuscript for important intellectual content; WS: acquisition of the data, critical revision of the manuscript for important intellectual content; HH: analysis and interpretation of the data, critical revision of the manuscript for important intellectual content, statistical expertise; DR: study concept and design, analysis and interpretation of the data, drafting of the manuscript, statistical expertise, acquisition of funding. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Harald Herkner.

Ethics declarations

Ethics approval and consent to participate

The local ethics committee approved the study (#1520/2020).

Consent for publication

Not applicable.

Competing interests

CK, JG, KT, MK, VF, MN, SN, KH, WS, HH and DR report no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kienbacher, C.L., Grafeneder, J., Tscherny, K. et al. The use of personal protection equipment does not negatively affect paramedics’ attention and dexterity: a prospective triple-cross over randomized controlled non-inferiority trial. Scand J Trauma Resusc Emerg Med 30, 2 (2022). https://doi.org/10.1186/s13049-021-00990-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13049-021-00990-3

Keywords

  • Cardiopulmonary resuscitation
  • Personal protection equipment
  • Concentration
  • Neurocognition
  • COVID-19