Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Close to the border—Resilience in healthcare in a European border region: Findings of a needs analysis

  • Leonie A. K. Loeffler,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Anesthesiology, University Hospital RWTH Aachen, Medical Faculty, RWTH Aachen University, Aachen, Germany, AIXTRA–Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen University, Aachen, Germany

  • Sophie Isabelle Lambert,

    Roles Conceptualization, Investigation, Methodology, Software, Writing – review & editing

    Affiliations Department of Anesthesiology, University Hospital RWTH Aachen, Medical Faculty, RWTH Aachen University, Aachen, Germany, AIXTRA–Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen University, Aachen, Germany

  • Lea Bouché,

    Roles Conceptualization, Investigation, Methodology, Writing – review & editing

    Affiliations Department of Anesthesiology, University Hospital RWTH Aachen, Medical Faculty, RWTH Aachen University, Aachen, Germany, ARS–Aachen Institute for Rescue Management and Public Safety, City of Aachen and University Hospital RWTH Aachen, Aachen, Germany

  • Martin Klasen,

    Roles Data curation, Methodology, Writing – review & editing

    Affiliations Department of Anesthesiology, University Hospital RWTH Aachen, Medical Faculty, RWTH Aachen University, Aachen, Germany, AIXTRA–Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen University, Aachen, Germany

  • Saša Sopka,

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – review & editing

    Affiliations Department of Anesthesiology, University Hospital RWTH Aachen, Medical Faculty, RWTH Aachen University, Aachen, Germany, AIXTRA–Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen University, Aachen, Germany

  • Lina Vogt ,

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – review & editing

    lvogt@ukaachen.de

    Affiliations Department of Anesthesiology, University Hospital RWTH Aachen, Medical Faculty, RWTH Aachen University, Aachen, Germany, AIXTRA–Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen University, Aachen, Germany

  • COMPAS Consortium

    The complete members of the COMPAS consortium can be found in the Acknowledgments.

Correction

18 Jun 2025: Loeffler LAK, Lambert SI, Bouché L, Klasen M, Sopka S, et al. (2025) Correction: Close to the border—Resilience in healthcare in a European border region: Findings of a needs analysis. PLOS ONE 20(6): e0326708. https://doi.org/10.1371/journal.pone.0326708 View correction

Abstract

Objectives

Promoting resilience, the ability to withstand and overcome challenging situations, is crucial for maintaining the performance of healthcare systems. Unique challenges faced by healthcare facilities in border regions render them particularly vulnerable during crises, emphasizing the need to promote resilience in these areas. The current study evaluated the state and needs of resilience in healthcare professionals in a representative European border region.

Methods

All hospitals and emergency medical care services in the Euregio Meuse-Rhine (Germany, Belgium, the Netherlands) were approached to participate via an online-survey. Behavioral data on psychological distress (Patient Health Questionnaire-4), work-related stressors, individual resilience (Brief Resilience Scale, Resilience at Work scale), and organizational resilience (Benchmark Resilience Tool-short) were collected.

Results

2233 participants initiated the survey with 500 responses included in the analysis. 46% of the participants indicated clinically significant psychological distress. Most challenging stressors were staff availability, available time, and workload. On average, individual resilience was in the normal range, yet 15.6% showed below average resilience. At the organizational level, healthcare institutions can particularly enhance resilience in the domains of Internal resources, Situation Awareness, and Unity of purpose. Compared to their neighbor countries, German healthcare professionals indicated higher levels of depressive symptoms, were more burdened by work-related stressors, and reported lower levels of organizational resilience.

Conclusion

Findings highlight that healthcare institutions not only need to promote the resilience of the individual employee particularly in border regions, healthcare institutions, must also act to be better prepared for potential threats and crises while considering each country’s unique needs.

1. Introduction

Healthcare professionals face numerous stressors in daily work life [1], either directly related to patient care, such as confrontation with illness and death, or structural stressors like lack of staff or time [1, 2]. Impaired health, absenteeism, and job drop-out may result and affect healthcare professionals’ ability to deal with critical situations [3, 4]. Consequently, patients’ and employees’ safety may be at risk. Hall and colleagues, for instance, revealed a link between healthcare professionals’ burnout and poor patient safety outcomes, including medical errors [4].

Resilience protects against harmful impacts of (occupational) stress and enables sustained performance during crises [5]. In healthcare, resilience refers to the ability or capacity to withstand and overcome challenges and threats safeguarding patient care and employee wellbeing [6]. Resilience operates on three levels: On the individual level, resilience can be enhanced by developing personal resources and resilient behaviors (e.g., adaptive coping strategies) [6]. On the team level, resilience can be fostered by targeting team/intergroup climate, dynamics, and processes (e.g., psychological safety, connectivity, debriefings) [6]. Finally, resilience can be nurtured on the organizational level, through systematic efforts to strengthen individual and collective resources (e.g., financial, structural, human, social) and the establishment of proactive practices (e.g., strategic planning) [6]. In a review, Wallace and colleagues [1] revealed a beneficial impact of interventions promoting individual resilience like stress management on healthcare quality. Likewise, healthcare professionals facing impending crises indicated (de)briefings, clear and simple protocols, continuously adapted procedures, as well as support by colleagues for reducing stress and strengthening overall effectiveness [7].

To enhance resilience of healthcare professionals and healthcare institutions, potential targets for improvement must be identified. These targets might vary depending on regional and national contexts, emphasizing the necessity to consider local needs. Border regions, compared to inland areas, exhibit distinct characteristics. In economics, the special needs and characteristics of border regions have been subject. This debate has two approaches: firstly borders lead to regions trading disproportionately with other regions in the same country and not with those that are the same distance away but on the other side of the border [8]. Secondly border regions tend to be less endowed with growth-promoting factors [9] or utilize similar endowments less efficiently [9]. Economic growth, in turn, appears to be linked to improvements in the healthcare system, for example due to better public healthcare infrastructure [10]. Hence, research about patient care in border regions is important, to identify factors for improvements to enhance efficiency and quality of patient care.

Looking back at the COVID 19 pandemic border regions are particularly vulnerable during crises [11]. They not only tend to be economically weaker and have less developed infrastructure [12, 13], but effective crisis management in such regions necessitates coordinated efforts between involved countries, a deep understanding of administrative and economic conditions on both sides of the border, and the ability to overcome intercultural barriers due to language, administrative procedures, habits and standards [11]. Recent research highlights disparities in resilience between border and non-border regions within the European Union (EU), with border regions exhibiting lower resilience and heightened susceptibility to crises in the short-term [14]. Consequently, these regions stand to benefit significantly from interventions aimed at bolstering resilience. Particularly in healthcare within border regions, it is crucial to prioritize resilience-building efforts to ensure continued and safe provision of patient care in times of crises [15].

Europe with its 47 countries is marked by 45 land border regions and 17 maritime border regions, meaning 62 overall border regions. Within this region a relatively high population density exists, presenting unique challenges for healthcare institutions. In more detail, cross-border patient care and communication impose additional burdens on healthcare staff due to higher administrative costs arising through missing documents, language barriers, cultural disparities, and heightened demands on hospital infrastructure [16, 17]. These challenges are further compounded during crises. For instance, border closures implemented during the COVID-19 pandemic impeded cross-border collaboration and personnel mobility, thereby intensifying the burden put on healthcare professionals [12]. Asymmetric decisions made by authorities of the different countries further exacerbated the administrative load [12].

Due to the multitude of unique challenges faced by healthcare professionals and facilities in border regions, it is crucial to comprehend their needs and prioritize efforts to promote resilience. This study examined the current state and needs regarding resilience in healthcare in the three-country European border region Meuse-Rhine (“Euregio Meuse-Rhine”, EMR; Belgium, Germany, and The Netherlands). Specifically, it investigated psychological distress, work-related stressors, and both individual and organizational resilience among healthcare professionals and institutions, while also addressing country-specific needs. Findings do not only serve healthcare facilities in the EMR as basis for resilience-promoting measures but also provide valuable insights to other European border regions facing similar border-region specific challenges (e.g., Rhine-Meuse-North Euregio; see [18] for details of border regions in Europe).

2. Materials and methods

2.1. Sample

A total of 49 hospitals and 21 emergency medical services in the EMR were approached for participation. The EMR spans from Leuven (Belgium) in the West to the borders of Cologne (Germany) in the East and from Eindhoven (The Netherlands) in the North to the border of Luxemburg in the South. The EMR is home to over 5.5 million people in three countries, comprising both urban agglomerations and rural areas [18]. Therefore, the study findings are likely representative of urban border regions in Europe [18]. Heads of the respective facilities were contacted with the request to forward an online survey to all employed healthcare professionals. Data collection took place from July 25th to November 25th, 2022.

2.2. Sample size planning

Sample size planning was not performed as we intended to include the entire target population (i.e., all hospitals and emergency medical services in the EMR). However, assuming a medium effect size (i.e., d = .5 [Mann-Whitney-U test], f = .25 [Kruskal-Wallis test]), a significance level of α = .05, and a power (1-β) of 95%, a minimum number of 220 participants was deemed necessary for Mann-Whitney-U tests and 252 participants for Kruskal-Wallis tests using G*Power 3.1.

2.3. Ethical approval

This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Boards of the University Hospital RWTH Aachen, Germany (EK502-21), the University Hospital Liège, Belgium (2022/11), and the Maastricht University, The Netherlands (METC 2022–3108). Participants were informed about the study on the starting page of the online survey and consented to participate in the study by starting the survey. Data was collected anonymously.

2.4. Measures

The online survey consisted of standardized and validated questionnaires along with newly developed questions, provided via SoSci Survey (Version 3.1.06). Questions without official translations were translated into German, English, French, and Dutch and cross-checked by native speakers. Dutch institutions received a shortened questionnaire with fewer resilience questions to address concerns of participant overburdening.

2.4.1. Psychological distress.

Psychological distress was examined using the Patient Health Questionnaire 4-scale (PHQ-4, 4 items) [19]. The PHQ-4 includes the Generalized Anxiety Disorder 2-scale (GAD-2, 2 items) and the Patient Health Questionnaire 2-scale (PHQ-2, 2 items). The GAD-2 and the PHQ-2 provide valuable ultra-brief screenings for anxiety and depression, respectively, while the PHQ-4 total score provides an overall measure of clinically relevant symptom burden (i.e., psychological distress). Participants rated the frequency of specific symptoms on a scale from 0 to 3 (not at all—almost every day).

2.4.2. Work-related stressors.

Work-related stressors were assessed by showing participants a list of common stressors in healthcare (15 items), like Workload, Interactions with patients and relatives or Physical exertion [2]). Participants rated the extent to which they felt burdened by these stressors on a scale from 1 to 6 (strongly disagree—strongly agree).

2.4.3. Individual resilience.

Individual resilience was examined using the Brief Resilience Scale (BRS, 6 items) [20] and the Resilience at Work Scale (RAW scale, 20 items) [21]. The BRS measures the general ability of an individual to bounce back or recover from stress. Participants indicated their agreement with resilience statements on a scale from 1 to 5 (strongly disagree—strongly agree). The RAW scale assesses an individual’s work-related resilience. Participants indicated their agreement with resources linked to resilience on a scale from 0 to 6 (strongly disagree—strongly agree).

2.4.4. Organizational resilience.

Organizational resilience was assessed using a short version of the Benchmark Resilience Tool (BRT-short, 13 items) [2224]. Participants indicated their agreement with 13 organizational resilience indicators on a scale from 1 to 8 (strongly disagree—strongly agree). These indicators are divided under three categories:

  1. “Leadership and Culture”, i.e. adaptive capacity of an organization created by its leadership and culture,
  2. “Network”, i.e., internal/external relationships fostered and developed by an organization which can leverage when needed, or
  3. “Change Ready”, i.e., planning and alignment to enable organizational readiness for change [22].

2.5. Statistical analysis

Quantitative data were analyzed using IBM SPSS Statistics Version 28 (IBM Corp., Armonk, NY, USA) applying an α-level of p < .05. Sum scores for psychological distress (PHQ-4) and mean scores for stressors and resilience (BRS, RAW scale, BRT-short) were calculated. Participants with missing values in sum score calculations (e.g., PHQ-4) were excluded from further analysis of the respective questionnaire. Since the data were not normally distributed, country-specific effects were examined using Mann-Whitney-U tests (i.e., PHQ-4, BRS, RAW scale, BRT-short) and Kruskal-Wallis tests (i.e., stressors). Country served as independent factor and psychological distress (PHQ-4), stressors at work, and resilience (BRS, RAW scale, BRT-short) as dependent factors. Dunn’s Post Hoc tests were computed for identifying significant country differences (i.e., stressors). Moreover, Spearman correlations assessed the relationship between psychological distress (PHQ-4) and resilience parameters (BRS, RAW scale, BRT-short).

3. Results

3.1. Sample characteristics

A total of 2233 healthcare professionals initiated the survey (Fig 1). Data of n = 500 healthcare professionals (Mean age = 44.16 years, 62.1% female / 35.3% male / 0% non-binary identity / 2.6% do not want to indicate were analyzed. Details on the distribution of the sample across healthcare professions and countries are presented in Fig 2.

thumbnail
Fig 1. Flow chart of included participants.

2233 participants started the survey. 1694 participants were excluded as they did not provide valid answers or did not answer any question on resilience. 39 participants were excluded as they solely had an administrative background and responsibilities (i.e., neither medical training nor medical activity). In total, data of 500 participants were included in the analyses.

https://doi.org/10.1371/journal.pone.0316105.g001

thumbnail
Fig 2. Sample characteristics.

Country of work (in percentage; left graph) and current profession (number of participants; right graph) of included participants (n = 500). Participants could indicate multiple answers regarding the profession.

https://doi.org/10.1371/journal.pone.0316105.g002

3.2. Psychological distress (PHQ-4, n = 466)

Nearly half (46%) reported clinically relevant psychological distress (PHQ-4 ≥ 3). Moreover, 22.1% of participants screened positive for an anxiety disorder (GAD-2 ≥ 3) and 15.9% for a depressive disorder (PHQ-2 ≥ 3; Table 1).

3.3. Work-related stressors (n = 490)

Participants indicated to be most burdened by personnel availability, available time, and workload (Table 2).

3.4. Individual resilience

General individual resilience (BRS, n = 468): On average, participants reported normal individual resilience (Mean = 3.55, SD = .68). 15.8% had low individual resilience (BRS ≤ 2.99). 71.6% reported average individual resilience scores (BRW = 3.00–4.30), and 12.6% exhibited high individual resilience (BRS ≥ 4.31).

Work-related individual resilience (RAW scale, n = 475): Compared to preliminary normative data, participants reported average work-related individual resilience (Mean = 3.99, SD = .68; Standardized Mean = 66.37, SD = 11.19).

3.5. Correlations psychological distress and individual resilience

General psychological distress (PHQ-4) correlated negatively with general individual resilience (BRS) (r = -.473, p ≤ .001) and work-related individual resilience (RAW scale) (r = -.464, p ≤ .001). Participants with high individual resilience reported less psychological distress.

Likewise, psychological distress (PHQ-4) correlated negatively with organizational resilience (BRT short) (r = -.302, p ≤ .001) suggesting that employees in more resilient organizations reported less psychological distress.

3.6. Organizational resilience (BRT-short, n = 466)

With respect to organizational resilience, participants indicated Internal resources, Situation awareness, and Unity of purpose as least pronounced resilience indicators in their organization (Table 3).

thumbnail
Table 3. Organizational resilience (BRT-short).

https://doi.org/10.1371/journal.pone.0316105.t003

3.7. Comparison between countries

In the following sections, we indicate in brackets the countries with available data.

Psychological distress (PHQ-4; Germany, Belgium).

Healthcare professionals in Germany indicated significantly higher depression scores than those in Belgium (PHQ-2: U = 18333.00, Z = -4.832, p ≤ .001). This country difference remained significant after Bonferroni correction for multiple comparisons. Overall psychological distress (PHQ-4: p = .154) and anxiety scores (GAD-2: p = .071) did not differ significantly between the two countries (Table 1).

Work-related stressors (Germany, Belgium, The Netherlands).

With respect to work-related stressors, healthcare professionals in Germany and in the Netherlands were significantly more burdened by Administrative expenses than in Belgium (H(2) = 94.558, p ≤ .001). Furthermore, healthcare professionals in Germany were significantly more burdened by a lack of both Personnel availability (H(2) = 45.647, p ≤ .001) and Appreciation (H(2) = 31.006, p ≤ .001) than in the Netherlands and in Belgium. Finally, healthcare professionals in Germany were significantly more burdened by a lack of Financial reward (H(2) = 27.763, p ≤ .001), Physical exertion (U(2) = 23.664, p ≤ .001), and Social expectations (H(2) = 10.295, p = .006) than in Belgium. After Bonferroni correction for multiple comparisons, country differences for the stressor Social expectations did no longer reach significance. All other stressors did not differ between countries (all p’s ≥ .081; see Table 2).

Individual resilience (BRS, RAW scale; Germany, Belgium).

No significant differences between countries were found in general individual resilience (BRS: p = .082) and work-related individual resilience (RAW scale: p = .435).

Organizational resilience (BRT-short; Germany, Belgium).

There was no significant difference in overall organizational resilience between countries (BRT short: p = .136). However, significant differences were found for the resilience indicators Situation awareness (U = 19402.50, Z = -3.802, p ≤ .001), Innovation and creativity (U = 19959.50, Z = -3.207, p = .001), Stress testing plans (U = 21563.00, Z = -2.111, p = .035), Proactive posture (U = 21590.00, Z = -2.094, p = .036), and Planning strategies (U = 21451.00, Z = -1.981, p = .048). All five resilience indicators were less pronounced in Germany compared to Belgium. After Bonferroni correction for multiple comparisons, only country differences for Situation awareness and Innovation and creativity remained significant. All other resilience indicators did not differ significantly between countries (all p’s ≥ .214; Table 3).

4. Discussion

This study aimed to investigate the current state and needs regarding resilience in healthcare in the European border region EMR. We examined psychological distress, work-related stressors, as well as individual and organizational resilience of healthcare professionals and institutions in this region while also exploring potential country-specific needs.

Almost half (46%) of the healthcare professionals reported psychological distress, with a significant proportion screening positive for anxiety (22.1%) or depressive disorders (15.9%). These numbers are slightly higher than those reported in original validation studies of the PHQ assessing psychological distress in primary care patients in the USA [25]. When compared to prevalence in the general German and Belgian population, screening results for anxiety and depressive disorders are considerably higher in our sample [26, 27]. Higher psychological distress in our study may be attributed to work-specific challenges of healthcare professionals. At the same time, the high burden during the late phase of the COVID-19 pandemic [28], especially when considering additional stress due to border-region challenges (e.g., border closures, [12, 16]), may account for the higher prevalence of mental impairment.

In a nation-wide survey conducted in the United Kingdom in 2022, the National Health Service revealed that more than half of healthcare professionals came “to work in the last three months despite not feeling well enough to perform their duties” [29]. Alarmingly, systematic reviews clearly link impaired wellbeing to reduced patient safety outcomes such as medical errors or hospital infections [4, 30]. High levels of psychological distress identified in our study highlight the need to strengthen mental health of healthcare professionals in border regions to ensure safe patient care. Interventions targeting healthcare professionals’ wellbeing can indeed improve the quality of patient care [1]. Isaksson Rø and colleagues revealed a reduction of emotional exhaustion and sick leave at 1-year follow-up of a counselling intervention [31].

Major sources of occupational stress were identified, with a lack of personnel and time as well as a high workload being particularly burdensome. These stressors have been previously identified as obstructive [32] and seem to reflect the current shortage of qualified medical staff [33]. Such a shortage of qualified medical workers is exacerbated by high sick leave rates in the health and social care sector, leading to more vacant positions [34]. In addition, healthcare professionals in border regions such as the EMR are exposed to additional workload caused by cross-border patient care [16, 17]. Intriguingly, major stressors identified in our study point particularly towards organizational characteristics of healthcare institutions. Work directly related to patient care, such as interactions with patients and relatives, facing illness and suffering, or making medical decisions, were barely indicated as stressful. These findings emphasize the need for organizational changes in healthcare institutions to protect employee-wellbeing and ensure safe patient care [35]. In support, a systematic review and meta-analysis disclosed that interventions at the organizational level are more effective in reducing burnout among healthcare staff than individual-directed interventions [35].

At the organizational level, it is crucial for healthcare institutions, particularly in border regions, to enhance resilience in the face of crises. Our findings imply that healthcare institutions in the EMR need to establish Situation awareness by promoting vigilance and sharing of early warning signals among staff [22, 23]. Importantly, situational awareness should extend beyond individual healthcare institutions. A nationwide awareness of cross-border regional needs, which might be facilitated by mechanisms such as permanent contact points, is crucial [13]. Moreover, healthcare institutions should improve management and mobilization of resources for providing necessary capacity in the event of crisis (Internal resources) [22, 23]. Improving management and mobilization of resources might become particularly relevant for cross-border cooperation. Recommendations based on experiences of the COVID-19 pandemic include, improving information exchange regarding available cross-border resources [15], thereby potentially improving healthcare resilience in border regions. Finally, there is a need to more clearly define the organization’s priorities both during and after crises, and to foster an understanding of the organization’s minimum operational requirements (Unity of purpose) [22, 23]. A Unity of purpose seems particularly difficult to implement across borders in those times, as measures to overcome the crisis are often decided on and implemented at the national level without sufficiently addressing cross-border needs [14, 15]. Cross-border governance could be a key enhancer of healthcare resilience in border regions [14].

Interestingly, we unveiled a relationship between organizational resilience and employees’ mental health, suggesting that promoting the aforementioned resilience markers might not only improve healthcare institutions’ performance (in times of crises) but also contribute to employee mental health. Prior research indeed linked organizational resilience to employee wellbeing [36]. A systematic review by Wei and colleagues linked a healthy work environment, reflected by organizational culture and patient care environments, to staff’s psychological health, job satisfaction and retention as well as quality of patient care and patient safety [36]. In line, Montgomery et al. identified reduced mental health of healthcare staff as a key indicator for deficient hospital culture and inadequate organizational resources [37].

Regarding individual resilience, our results revealed that healthcare professionals exhibited normal resilience on average. However, 15.8% of participants reported low individual resilience and might benefit from interventions to promote this. Interventions promoting stress-coping, for instance, seem to have the potential to strengthen healthcare professionals’ resilience and clinical performance: The introduction of stress management programs in 22 hospitals led to a significant reduction in medical errors and malpractice claims [38].

Interestingly, the percentage of healthcare professionals with low individual resilience (i.e., 15.8%) corresponds to those experiencing anxiety (22.1%) and depressive (15.9%) symptoms, implying a potential link. In line with previous research [39], we identified a significant correlation between low individual resilience and psychological distress, supporting the idea that resilience-promoting measures might preserve mental health.

To assess potential country-specific effects, we examined differences between Germany, Belgium and the Netherlands with respect to psychological distress, work-related stressors, and resilience. Healthcare professionals in Germany exhibited significantly higher rates of depression than in Belgium and reported significantly greater burden by work-related stressors than their colleagues in Belgium and the Netherlands. Similarly, German healthcare institutions demonstrated significantly lower organizational resilience than Belgian institutions in the domains Situation awareness and Innovation and creativity. These findings suggest differences in encouraging staff to monitor and report early warning signs (Situation awareness) as well as in applying creative problem-solving (Innovation and creativity) [22, 23]. The observed country differences in depression, stressors, and organizational resilience may be originated in (deficient) hospital culture and (inadequate) organizational resources [36, 37]. In addition, general cultural differences might contribute to country differences in organizational resilience, with Germany’s stronger norms and lower tolerance for deviant behavior, possibly accounting for differences to Belgium in Innovation and creativity [40]. Furthermore, country-variations might also be influenced by differences in medical education. Compared to Germany, other European countries (e.g., the Netherlands, Belgium) have a higher percentage of academically trained nursing staff, allowing them to take greater responsibility in patient care [33], which may result in greater job satisfaction and appreciation.

With regard to the comparison of the different countries, it is noteworthy that there are some substantial differences in terms of stressors and resilience factors, although the pressures of cross-border care are presumably similar for all countries. Although the reasons for this cannot be conclusively clarified in our study, important conclusions for other European border regions can still be drawn from these results.

First, a comparison of stressors and resilience factors can be used to identify strengths and weaknesses in the respective national health systems. In addition to staff shortages, these may also include bureaucratic or organizational hurdles, for example.

Second, the results of such surveys can be used to organize cross-border support. Various approaches are conceivable here. For example, capacity bottlenecks can also be compensated for across borders. Furthermore, country-specific best-practice models could be identified in border regions and then transferred to other countries in the border region. Finally, synergies can be exploited by training organizational and individual resilience across borders (e.g. in Safety-II training courses).

As stated by Capello et al. [9], border regions frequently suffer from efficiency needs, i.e. they have a problem with the efficient use of their resources due to the border. In addition to legal and administrative obstacles, differences in organizational processes can also hinder the exploitation of existing potentials [41]. Our findings suggest that these may not affect all countries of a border region in an identical fashion, making a detailed analysis of the underlying reasons necessary.

In summary, a recommendation for other border regions may be to conduct comparable surveys of stressors and resilience factors and to systematically compare the countries with each other. The results can be used to create local risk profiles and develop specific solutions. Further investigation is needed for understanding the factors contributing to country-specific differences. The differences elucidated in our study underscore the potential of mutual learning across countries, facilitating the enhancement of resilience and the promotion of employee health.

4.1. Limitations

First, limited data from the Netherlands are available, due to a lower density of healthcare facilities. Second, to address concerns about survey length, an abbreviated survey was sent to Dutch healthcare facilities. Third, our study only examined individual and organizational resilience, lacking an assessment of team resilience. Future investigations of the dynamics between individuals, teams, and organizations are desirable. Future research might also focus on the comparison of needs between border regions and inland regions in healthcare to further delineate the specificity of border region’s needs.

5. Conclusion

The findings highlight a significant number of healthcare professionals in the EMR facing mental health problems during the late phase of the COVID-19 pandemic. While healthcare professionals might benefit from programs promoting individual resilience, our results clearly show that main causes of stress arise from organizational issues. In order to nurture resilience in healthcare institutions in border regions such as the EMR, the management and provision of resources, the promotion of situation awareness and unified purposes during crises should be focused on in particular, while also considering country-specific needs. Our findings provide a foundation for resilience-promoting measures, highlighting the potential for transferring insights to other border regions.

Acknowledgments

We would like to express our gratitude to the participating healthcare professionals, without whose contribution this study would not have been realizable. Further, we would like to thank the COMPAS consortium for their contribution to the project: Stefan Beckers1,3, Juliët Beuken5, Nadège Dubois4, Kim Felsch1,2, Alexandre Ghuysen4, Ute Göretz1,2, Zoé Kabanda4, Katrin Kootz1,3, Jule Kreitz1,3, Andrea Lenes1,2, Katharina Mohr1,3, Fabio Pirkl1,2, Cassandra Rehbock1,3, Anna Riechenberg1,2, Michelle Schmidt1,2, Sebastian Sieberichs1,2, Jolanda van Golde5, Julia Varol1,2, Daniëlle Verstegen5, Corinna Wennmacher1,3, Laura Wolff1,2.

1Department of Anesthesiology, University Hospital RWTH Aachen, Medical Faculty, RWTH Aachen University, Aachen, Germany

2AIXTRA–Competence Center for Training and Patient Safety, Medical Faculty, RWTH Aachen University, Aachen, Germany

3ARS–Aachen Institute for Rescue Management and Public Safety, City of Aachen and University Hospital RWTH, Aachen, Germany

4Department of Public Health (DPH)–Center of Medical Simulation, University of Liège, Liège, Belgium

5School of Health Professions Education (SHE), Maastricht University, Maastricht, The Netherlands

References

  1. 1. Wallace JE, Lemaire JB, Ghali WA. Physician wellness: a missing quality indicator. Lancet. 2009;374: 1714–1721. pmid:19914516
  2. 2. Kunzler AM, Helmreich I, Chmitorz A, König J, Binder H, Wessa M, et al. Psychological interventions to foster resilience in healthcare professionals. Cochrane Database Syst Rev. 2020; CD012527. pmid:32627860
  3. 3. Wilkinson E. UK NHS staff: stressed, exhausted, burnt out. Lancet. 2015;385: 841–842. pmid:25773077
  4. 4. Hall LH, Johnson J, Watt I, Tsipa A, O’Connor DB. Healthcare staff wellbeing, burnout, and patient safety: A systematic review. PLoS One. 2016;11: e0159015. pmid:27391946
  5. 5. Arrogante O, Aparicio-Zaldivar E. Burnout and health among critical care professionals: The mediational role of resilience. Intensive Crit Care Nurs. 2017;42: 110–115. pmid:28545878
  6. 6. Raetze S, Duchek S, Maynard MT, Kirkman BL. Resilience in Organizations: An Integrative Multilevel Review and Editorial Introduction. Group Organ Manag. 2021;46: 607–656.
  7. 7. Belfroid E, Van Steenbergen J, Timen A, Ellerbroek P, Huis A, Hulscher M. Preparedness and the importance of meeting the needs of healthcare workers: a qualitative study on Ebola. J Hosp Infect. 2018;98: 212–218. pmid:28690117
  8. 8. McCallum J. National Borders Matter: Canada-U.S. Regional Trade Patterns. Am Econ Rev. 1995;85: 615–623.
  9. 9. Capello R, Caragliu A, Fratesi U. Measuring border effects in European cross-border regions. Reg Stud. 2018;52: 986–996.
  10. 10. Frakt AB. How the economy affects health. JAMA. 2018;319: 1187–1188. pmid:29584830
  11. 11. Adrot A, Fiedrich F, Lotter A, Münzberg T, Rigaud E, Wiens M, et al. Challenges in Establishing Cross-Border Resilience Urban Disaster Resilience and Security. In: Fekete A, Friedrich F, editors. Urban Disaster Resilience and Security: Addressing Risks in Societies. Springer International Publishing; 2018. pp. 429–457. https://doi.org/10.1007/978-3-319-68606-6_25
  12. 12. Leloup F. Research for REGI Commitee—Cross-border cooperation in healthcare. Brussels; 2021. Available: https://www.europarl.europa.eu/thinktank/en/document/IPOL_STU(2021)690904
  13. 13. Hippe S, Bertram D, Chilla T. The COVID-19 pandemic as a catalyst of cross-border cooperation? Lessons learnt for border-regional resilience. EUROPA XXI. 2022;43.
  14. 14. Hippe S, Bertram D, Chilla T. Convergence and resilience in border regions. Eur Plan Stud. 2024;32: 186–207.
  15. 15. Sommer A, Rehbock C, Vos C, Borgs C, Chevalier S, Doreleijers S, et al. Impacts and Lessons Learned of the First Three COVID-19 Waves on Cross-Border Collaboration in the Field of Emergency Medical Services and Interhospital Transports in the Euregio-Meuse-Rhine: A Qualitative Review of Expert Opinions. Front Public Health. 2022;10. pmid:35372226
  16. 16. Groene O, Poletti P, Vallejo P, Cucic C, Klazinga N, Suñol R. Quality requirements for cross-border care in Europe: A qualitative study of patients’, professionals’ and healthcare financiers’ views. Qual Saf Health Care. 2009;18. pmid:19188456
  17. 17. Beuken JA, Verstegen DML, Dolmans DHJM, van Kersbergen L, Losfeld X, Sopka S, et al. Going the extra mile—cross-border patient handover in a European border region: qualitative study of healthcare professionals’ perspectives. BMJ Qual Saf. 2020;29: 980–987. pmid:32132145
  18. 18. Durà A, Camonita F, Berzi M, Noferini A. Euroregions, Excellence and Innovation across EU borders A Catalogue of Good Practices. Barcelona; 2018. Available: https://ddd.uab.cat/record/189399
  19. 19. Kroenke K, Spitzer RL, Williams JBW, Löwe B. An Ultra-Brief Screening Scale for Anxiety and Depression: The PHQ–4. Psychosomatics. 2009;50: 613–621. pmid:19996233
  20. 20. Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: Assessing the ability to bounce back. Int J Behav Med. 2008;15: 194–200. pmid:18696313
  21. 21. Winwood PC, Colon R, McEwen K. A Practical Measure of Workplace Resilience: Developing the Resilience at Work Scale. J Occup Environ Med. 2013;55: 1205–1212. pmid:24064782
  22. 22. Resilient Organisations. Resilient Organisations Resilience Benchmark Tool—Survey Questionnaire—Senior Manager Version. 2017.
  23. 23. Lee A V., Vargo J, Seville E. Developing a Tool to Measure and Compare Organizations’ Resilience. Nat Hazards Rev. 2013;14: 29–41.
  24. 24. Whitman ZR, Kachali H, Roger D, Vargo J, Seville E. Short-form version of the Benchmark Resilience Tool (BRT-53). Measuring Business Excellence. 2013;17: 3–14.
  25. 25. Spitzer RL, Kroenke K, Williams JBW. Validation and Utility of a Self-report Version of PRIME-MD The PHQ Primary Care Study. JAMA. 1999;282: 1737–1744. Available: https://jamanetwork.com/
  26. 26. Hajek A, König HH. Prevalence and Correlates of Individuals Screening Positive for Depression and Anxiety on the PHQ-4 in the German General Population: Findings from the Nationally Representative German SocioEeconomic Panel (GSOEP). Int J Environ Res Public Health. 2020;17: 1–11. pmid:33121023
  27. 27. Walrave R, Beerten SG, Mamouris P, Coteur K, Van Nuland M, Van Pottelbergh G, et al. Trends in the epidemiology of depression and comorbidities from 2000 to 2019 in Belgium. BMC Prim Care. 2022;23. pmid:35764925
  28. 28. Hajek A, Sabat I, Neumann-Böhme S, Schreyögg J, Pita Barros P, Stargardt T, et al. Prevalence and determinants of probable depression and anxiety during the COVID-19 pandemic in seven countries: Longitudinal evidence from the European COvid Survey (ECOS). J Affect Disord. 2022;299: 517–524. pmid:34920039
  29. 29. NHS England Survey Coordination Center. NHS Staff Survey 2022: National results briefing. 2023 Mar. Available: https://www.nhsstaffsurveys.com/results/national-results/
  30. 30. Welp A, Manser T. Integrating teamwork, clinician occupational well-being and patient safety—Development of a conceptual framework based on a systematic review. BMC Health Serv Res. 2016;16: 1–44.
  31. 31. Isaksson Rø KE, Gude T, Tyssen R, Aasland OG. Counselling for burnout in Norwegian doctors: one year cohort study. BMJ. 2008;337: 1146–1149. pmid:19001492
  32. 32. Humphries N, Morgan K, Conry MC, Mcgowan Y, Montgomery A, Mcgee H. Quality of care and health professional burnout: narrative literature review. Int J Health Care Qual Assur. 2014;27: 293–307. pmid:25076604
  33. 33. Stiftung Münch. Pflege in anderen Ländern—Vom Ausland lernen? Psych Pflege heute. 2019;25: 101–103.
  34. 34. Augurzky B, Kolodziej I. Fachkräftebedarf im Gesundheits-und Sozialwesen 2030: Gutachten im Auftrag des Sachverständigenrates zur Begutachtung der Gesamtwirtschaftlichen Entwicklung. Wiesbaden; 2018. Report No.: Arbeitspapier No. 06/2018. Available: http://hdl.handle.net/10419/184864
  35. 35. Panagioti M, Panagopoulou E, Bower P, Lewith G, Kontopantelis E, Chew-Graham C, et al. Controlled Interventions to Reduce Burnout in Physicians: A Systematic Review and Meta-analysis. JAMA Intern Med. 2017;177: 195–205. pmid:27918798
  36. 36. Wei H, Sewell KA, Woody G, Rose MA. The state of the science of nurse work environments in the United States: A systematic review. Int J Nurs Sci. 2018;5: 287–300. pmid:31406839
  37. 37. Montgomery A, Panagopoulou E, Kehoe I, Valkanos E. Connecting organisational culture and quality of care in the hospital: is job burnout the missing link? J Health Organ Manag. 2011;25: 108–123. pmid:21542465
  38. 38. Jones JW, Barge BN, Steffy BD, Fay LM, Kunz LK, Wuebker LJ. Stress and Medical Malpractice: Organizational Risk Assessment and Intervention. J Appl Psychol. 1988;73: 727–735. pmid:3209582
  39. 39. McCain RS, McKinley N, Dempster M, Campbell WJ, Kirk SJ. A study of the relationship between resilience, burnout and coping strategies in doctors. Postgrad Med J. 2018;94: 43–47. pmid:28794171
  40. 40. Gelfand MJ, Raver JL, Nishii L, Leslie LM, Lun J, Lim BC, et al. Differences between tight and loose cultures: A 33-nation study. Science (1979). 2011;332: 1100–1104. pmid:21617077
  41. 41. Caragliu A. Better together: Untapped potentials in Central Europe. Pap Reg Sci. 2022;101: 1051–1085.