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Supplementary material 8 from: Sieber I, Borges P, Burkhard B (2018) Hotspots of biodiversity and ecosystem services: the Outermost Regions and Overseas Countries and Territories of the European Union. One Ecosystem 3: e24719. https://doi.org/10.3897/oneeco.3.e24719
Appendix of included literature
European Countries financial soundness data
<p>European Countries financial soundness data</p>
Tables, figures, and country data complementing the European Union One Health Zoonoses 2021 Report
<p>European Food Safety Authority; European Centre for Disease Prevention and Control</p> <p>All summary tables and figures produced for the European Union One Health 2021 Zoonoses Report are provided as archives containing Excel files for tables, and as PDF or PNG files for figures.</p> <p><strong>All country data connected to this Report are published SEPARATELY on Knowledge Junction - see related identifiers. This is because DATA OWNERSHIP for country data stays with the organisation(s) of the country submitting the data - for further reference see doi:10.2903/sp.efsa.2019.EN-1544.</strong></p> <p>Supplementary datasets submitted are given in the related identifier section, however for clarity we give here the information on what they refer to:</p> <p>10.5281/zenodo.7390416 Foodborne outbreaks</p> <p>10.5281/zenodo.7389918 Disease status</p> <p>10.5281/zenodo.7390142 Animal Population</p> <p>10.5281/zenodo.7390884 Prevalence</p> <p><strong><em>Sample-based data submitted by specific countries</em></strong></p> <p>10.5281/zenodo.7389531 Finland</p> <p>10.5281/zenodo.7389587 Croatia</p> <p>10.5281/zenodo.7389851 Norway</p> <p>10.5281/zenodo.7389870 Luxembourg</p> <p>10.5281/zenodo.7389816 United Kingdom (Northern Ireland)</p> <p>10.5281/zenodo.7389889 Ireland</p>
Drug Use Study With Intuniv® in European Countries
ClinicalTrials.gov study NCT05870605. IPD Sharing: YES. Countries: 1. Publications: 0.
DUS on the Prescribing Indications for CPA/EE in 5 European Countries
ClinicalTrials.gov study NCT02494297. IPD Sharing: NO. Countries: 1. Publications: 0.
EValuation of HumIRA® in Patients With Active Rheumatoid Arthritis, Psoriatic Arthritis and Ankylosing Spondylitis in EASTern European Countries
ClinicalTrials.gov study NCT01078402. IPD Sharing: Not stated. Countries: 7. Publications: 0.
SPRING - Assess the Clinical Care Pathway of Population With T2D and CKD in Four European Countries Using Real-world Data
ClinicalTrials.gov study NCT06769646. IPD Sharing: YES. Countries: 1. Publications: 0.
Survey Among Healthcare Professionals Treating Patients With Metastatic Breast Cancer in Selected European Countries to Evaluate Their Knowledge on Management of Hyperglycemia When Using Alpelisib
ClinicalTrials.gov study NCT05073120. IPD Sharing: NO. Countries: 1. Publications: 0.
Cross Sectional Analysis of Healthcare for Psoriasis in 4 European Countries
ClinicalTrials.gov study NCT02668341. IPD Sharing: UNDECIDED. Countries: 4. Publications: 0.
Analysis of the Efficiency of a Chronic Disease Self-Management Programme in a Vulnerable Population in Five European Countries
ClinicalTrials.gov study NCT03840447. IPD Sharing: NO. Countries: 1. Publications: 0.
Nutraceuticals to Improve Lipid Profile in European Countries
ClinicalTrials.gov study NCT01649986. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Burden of Influenza at Emergency Department (ED) Level in European Countries
ClinicalTrials.gov study NCT04244500. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The European Tinnitus Survey: a Study on Tinnitus Prevalence in 12 European Countries
ClinicalTrials.gov study NCT04892095. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
FIGURE 1 in Variegated mud-loving beetles (Heteroceridae) of Russia and adjacent countries genus Augyles of European part of Russia and Caucasus Region
FIGURE 1. Summary statistics of the diversity of Heteroceridae species in various regions of Russia. Numbers at the color bar indicate number of species, respectively. Red star—Moscow, dotted line—estimated distribution limit in northern Siberia.
Differences in the genomic content of Bordetella pertussis strains before and after vaccine introduction in European countries
GEO Series GSE29579. Bordetella pertussis. 29 samples. Type: Genome variation profiling by array.
AgriLink - Data Set on Suppliers of farm advice in 7 European countries
<p>This Data Set is derived from the WP4 of the AgriLink project.</p> <p>It is part of task T4.4 of Work Package (WP) 4 of the H2020 AgriLink project. AgriLink [Agricultural Knowledge: linking farmers, advisors and researchers to boost innovation] aims at better understanding the role of advisory services in farmers’ decision making and at boosting their contribution to innovation for sustainable development of agriculture. WP4 addresses more specifically the governance of farm advisory services. The objective of the research presented in this report is to understand the institutions that influence how farm advisory services function on the ground, and to discuss implications for the support for sustainable development innovation.</p> <p><strong>Data were collected in seven European countries: the Czech Republic, France, Greece, Poland, Portugal, Spain and the UK.</strong></p> <p><strong>Data were collected for a diversity of types of innovation: Market, Technological, Process, and Social Innovation.</strong></p> <p>The Data set was built based on interviews with farm advisory suppliers.</p> <p>In total 170 farm advisory suppliers were interviewed.</p> <p>The table below provides the distribution of interviews according to countries.</p> <table> <tbody> <tr> <td> <p><strong>Country</strong></p> </td> <td> <p><strong>Market innovation (NCRO & RETRO)</strong></p> </td> <td> <p><strong>Technological innovation (TECH)</strong></p> </td> <td> <p><strong>Process innovation (BIOP & SOIL)</strong></p> </td> <td> <p><strong>Social innovation </strong><strong>(LABO & COMM)</strong></p> </td> <td> <p><strong>TOTAL</strong></p> </td> </tr> <tr> <td> <p><strong>Czech Republic</strong></p> </td> <td> <p> </p> </td> <td> <p>4</p> </td> <td> <p>16</p> </td> <td> <p> </p> </td> <td> <p><strong>20</strong></p> </td> </tr> <tr> <td> <p><strong>France</strong></p> </td> <td> <p>14</p> </td> <td> <p> </p> </td> <td> <p> </p> </td> <td> <p>11</p> </td> <td> <p><strong>25</strong></p> </td> </tr> <tr> <td> <p><strong>Greece</strong></p> </td> <td> <p>11</p> </td> <td> <p> </p> </td> <td> <p>10</p> </td> <td> <p> </p> </td> <td> <p><strong>21</strong></p> </td> </tr> <tr> <td> <p><strong>Poland</strong></p> </td> <td> <p> </p> </td> <td> <p>6</p> </td> <td> <p> </p> </td> <td> <p>18</p> </td> <td> <p><strong>24</strong></p> </td> </tr> <tr> <td> <p><strong>Portugal</strong></p> </td> <td> <p> </p> </td> <td> <p>11</p> </td> <td> <p>20</p> </td> <td> <p> </p> </td> <td> <p><strong>31</strong></p> </td> </tr> <tr> <td> <p><strong>Spain</strong></p> </td> <td> <p>9</p> </td> <td> <p> </p> </td> <td> <p>29</p> </td> <td> <p> </p> </td> <td> <p><strong>38</strong></p> </td> </tr> <tr> <td> <p><strong>UK</strong></p> </td> <td> <p> </p> </td> <td> <p>7</p> </td> <td> <p> </p> </td> <td> <p>4</p> </td> <td> <p><strong>11</strong></p> </td> </tr> <tr> <td> <p><strong>TOTAL</strong></p> </td> <td> <p><strong>34</strong></p> </td> <td> <p><strong>28</strong></p> </td> <td> <p><strong>75</strong></p> </td> <td> <p><strong>33</strong></p> </td> <td> <p><strong>170</strong></p> </td> </tr> </tbody> </table> <p>The data has two aims.</p> <p><strong>First, to characterise farm advisory suppliers, in terms of (table below):</strong></p> <ul> <li><strong>what do they provide?</strong></li> <li><strong>Who is in control of the supplier?</strong></li> </ul> <table> <tbody> <tr> <td><strong>What do they provide</strong></td> <td><strong>Farmers</strong></td> <td><strong>NGO</strong></td> <td><strong>Private</strong></td> <td><strong>Public</strong></td> <td><strong>semi-public</strong></td> <td><strong>Total</strong></td> </tr> <tr> <td><strong>Advice and Bookkeeping</strong></td> <td>8</td> <td> </td> <td>4</td> <td>1</td> <td> </td> <td>13</td> </tr> <tr> <td><strong>Advice and Digital tech</strong></td> <td>1</td> <td> </td> <td>3</td> <td> </td> <td> </td> <td>4</td> </tr> <tr> <td><strong>Advice and Education</strong></td> <td>2</td> <td>4</td> <td>3</td> <td>5</td> <td> </td> <td>14</td> </tr> <tr> <td><strong>Advice and Health services</strong></td> <td> </td> <td> </td> <td>1</td> <td>2</td> <td> </td> <td>3</td> </tr> <tr> <td><strong>Advice and Inputs</strong></td> <td>1</td> <td> </td> <td>14</td> <td> </td> <td> </td> <td>15</td> </tr> <tr> <td><strong>Advice and Inputs and Outputs</strong></td> <td>15</td> <td> </td> <td>5</td> <td> </td> <td> </td> <td>20</td> </tr> <tr> <td><strong>Advice and Machinery</strong></td> <td> </td> <td> </td> <td>7</td> <td> </td> <td> </td> <td>7</td> </tr> <tr> <td><strong>Advice and Outputs</strong></td> <td>8</td> <td>1</td> <td>8</td> <td>2</td> <td> </td> <td>19</td> </tr> <tr> <td><strong>Advice and Research</strong></td> <td>2</td> <td>2</td> <td>5</td> <td>12</td> <td>1</td> <td>22</td> </tr> <tr> <td><strong>Only advice and training</strong></td> <td>16</td> <td> </td> <td>26</td> <td>10</td> <td>1</td> <td>53</td> </tr> <tr> <td><strong>Total</strong></td> <td>53</td> <td>7</td> <td>76</td> <td>32</td> <td>2</td> <td>170</td> </tr> </tbody> </table> <p><strong>Second, we have set a series of variables to characterise the services they provide. The main variables are:</strong></p> <ul> <li><strong>Number of advisors of the organisation</strong></li> </ul> <table> <tbody> <tr> <td><strong>Number of advisors</strong></td> <td><strong>Number of organisations in that group</strong></td> </tr> <tr> <td><strong>[0:5]</strong></td> <td>96</td> </tr> <tr> <td><strong>]10:50]</strong></td> <td>35</td> </tr> <tr> <td><strong>]5:10]</strong></td> <td>16</td> </tr> <tr> <td><strong>>50</strong></td> <td>19</td> </tr> <tr> <td><strong>n.a.</strong></td> <td>4</td> </tr> <tr> <td><strong>Total</strong></td> <td>170</td> </tr> </tbody> </table> <ul> <li><strong>Percentage of advisors in the staff of the organisation</strong></li> </ul> <table> <tbody> <tr> <td><strong>% of advisors</strong></td> <td><strong>Number of organisations</strong></td> </tr> <tr> <td><strong>[0:25[</strong></td> <td>43</td> </tr> <tr> <td><strong>[25:50[</strong></td> <td>17</td> </tr> <tr> <td><strong>[50:75[</strong></td> <td>30</td> </tr> <tr> <td><strong>[75:100]</strong></td> <td>70</td> </tr> <tr> <td><strong>n.a.</strong></td> <td>10</td> </tr> <tr> <td><strong>Total</strong></td> <td>170</td> </tr> </tbody> </table> <ul> <li><strong>Share of back-office activities in the staff of the organisation</strong></li> </ul> <table> <tbody> <tr> <td><strong>Share of back-office (%)</strong></td> <td><strong>Number of organisations</strong></td> </tr> <tr> <td><strong>[0:25[</strong></td> <td>41</td> </tr> <tr> <td><strong>[25:50[</strong></td> <td>26</td> </tr> <tr> <td><strong>[50:75[</strong></td> <td>66</td> </tr> <tr> <td><strong>[75:100]</strong></td> <td>24</td> </tr> <tr> <td><strong>n.a.</strong></td> <td>13</td> </tr> <tr> <td><strong>Total </strong></td> <td>170</td> </tr> </tbody> </table> <ul> <li><strong>Number of farmers client of the supplier per advisor</strong></li> </ul> <table> <tbody> <tr> <td><strong>Number of clients per organisation</strong></td> <td><strong>Number of organisation</strong></td> </tr> <tr> <td><strong>[0:25[</strong></td> <td>31</td> </tr> <tr> <td><strong>[25:75[</strong></td> <td>43</td> </tr> <tr> <td><strong>[50:75[</strong></td> <td>3</td> </tr> <tr> <td><strong>[75:175[</strong></td> <td>28</td> </tr> <tr> <td><strong>>175</strong></td> <td>36</td> </tr> <tr> <td><strong>n.a.</strong></td> <td>29</td> </tr> <tr> <td><strong>Total </strong></td> <td>170</td> </tr> </tbody> </table> <ul> <li><strong>Main advisory method</strong></li> </ul> <table> <tbody> <tr> <td><strong>Main Advisory method</strong></td> <td><strong>Number of organisations</strong></td> </tr> <tr> <td><strong>Group Advice</strong></td> <td>19</td> </tr> <tr> <td><strong>IT tool (app, software…)</strong></td> <td>2</td> </tr> <tr> <td><strong>n.a.</strong></td> <td>1</td> </tr> <tr> <td><strong>One to One Advice</strong></td> <td>129</td> </tr> <tr> <td><strong>Phone or web helpdesk</strong></td> <td>15</td> </tr> <tr> <td><strong>Publications</strong></td> <td>4</td> </tr> <tr> <td><strong>Total</strong></td> <td>170</td> </tr> </tbody> </table> <ul> <li>Main funding source</li> </ul> <table> <tbody> <tr> <td><strong>Main funding source</strong></td> <td><strong>Number of organisations</strong></td> </tr> <tr> <td><strong>EU funds</strong></td> <td>15</td> </tr> <tr> <td><strong>Fee-for-advice</strong></td> <td>46</td> </tr> <tr> <td><strong>Joint trade</strong></td> <td>42</td> </tr> <tr> <td><strong>Membership</strong></td> <td>11</td> </tr> <tr> <td><strong>Membership fee</strong></td> <td>6</td> </tr> <tr> <td><strong>n.a.</strong></td> <td>16</td> </tr> <tr> <td><strong>Public funding</strong></td> <td>3</td> </tr> <tr> <td><strong>Public funds</strong></td> <td>4</td> </tr> <tr> <td><strong>State budget</strong></td> <td>27</td> </tr> <tr> <td><strong>Total</strong></td> <td>170</td> </tr> </tbody> </table> <p>More detailed information about the variables collected can be found in the questionnaire that is available in the appendix of the deliverable D4.2 of AgriLink</p> <p> </p>
data set from Van Bulck L, Luyckx K, Goossens E, Apers S, Kovacs AH, Thomet C, Budts W, Sluman MA, Eriksen K, Dellborg M, Berghammer M, Johansson B, Caruana M, Soufi A, Callus E, Moons P. Patient-reported outcomes of adults with congenital heart disease from eight European countries: scrutinising the association with healthcare system performance. Eur J Cardiovasc Nurs. 2019 Aug;18(6):465-473. doi: 10.1177/1474515119834484. Epub 2019 Feb 26. PMID: 30808198.
<p>Data set from the article Van Bulck L, Luyckx K, Goossens E, Apers S, Kovacs AH, Thomet C, Budts W, Sluman MA, Eriksen K, Dellborg M, Berghammer M, Johansson B, Caruana M, Soufi A, Callus E, Moons P. Patient-reported outcomes of adults with congenital heart disease from eight European countries: scrutinising the association with healthcare system performance. Eur J Cardiovasc Nurs. 2019 Aug;18(6):465-473. doi: 10.1177/1474515119834484. Epub 2019 Feb 26. PMID: 30808198.</p> <p> </p> <p>This is the abstract:</p> <p><strong>Background: </strong>Inter-country variation in patient-reported outcomes of adults with congenital heart disease has been observed. Country-specific characteristics may play a role. A previous study found an association between healthcare system performance and patient-reported outcomes. However, it remains unknown which specific components of the countries' healthcare system performance are of importance for patient-reported outcomes.</p> <p><strong>Aims: </strong>The aim of this study was to investigate the relationship between components of healthcare system performance and patient-reported outcomes in a large sample of adults with congenital heart disease.</p> <p><strong>Methods: </strong>A total of 1591 adults with congenital heart disease (median age 34 years; 51% men; 32% simple, 48% moderate and 20% complex defects) from eight European countries were included in this cross-sectional study. The following patient-reported outcomes were measured: perceived physical and mental health, psychological distress, health behaviours and quality of life. The Euro Health Consumer Index 2015 and the Euro Heart Index 2016 were used as measures of healthcare system performance. General linear mixed models were conducted, adjusting for patient-specific variables and unmeasured country differences.</p> <p><strong>Results: </strong>Health risk behaviours were associated with the Euro Health Consumer Index subdomains about patient rights and information, health outcomes and financing and access to pharmaceuticals. Perceived physical health was associated with the Euro Health Consumer Index subdomain about prevention of chronic diseases. Subscales of the Euro Heart Index were not associated with patient-reported outcomes.</p> <p><strong>Conclusion: </strong>Several features of healthcare system performance are associated with perceived physical health and health risk behaviour in adults with congenital heart disease. Before recommendations for policy-makers and clinicians can be conducted, future research ought to investigate the impact of the healthcare system performance on outcomes further.</p> <p> </p>
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