29 results on '"Nielsen, Marie Germund"'
Search Results
2. Item generation for a new patient-reported outcome measure: The non-traumatic anterior knee pain (AKP)-YOUTH scale
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Nielsen, Marie Germund, primary, Lyng, Kristian Damgaard, additional, Holden, Sinead, additional, Johansen, Simon Kristoffer, additional, Winters, Marinus, additional, and Rathleff, Michael Skovdal, additional
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- 2023
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3. The construct validity of the Major Depression Inventory: A Rasch analysis of a self-rating scale in primary care
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Nielsen, Marie Germund, Ørnbøl, Eva, Vestergaard, Mogens, Bech, Per, and Christensen, Kaj Sparle
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- 2017
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4. The construct validity of the Perceived Stress Scale
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Nielsen, Marie Germund, Ørnbøl, Eva, Vestergaard, Mogens, Bech, Per, Larsen, Finn Breinholt, Lasgaard, Mathias, and Christensen, Kaj Sparle
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- 2016
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5. Willingness and preparedness to work during the first wave of the COVID-19 pandemic: A cross-sectional survey among registered nurses in a Danish university hospital
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Kusk, Kathrine Hoffmann, primary, Laugesen, Britt, additional, Jørgensen, Lone, additional, Albrechtsen, Maja Thomsen, additional, Grøkjær, Mette, additional, Cusack, Lynette, additional, Pedersen, Birgith, additional, Lerbæk, Birgitte, additional, Haslund-Thomsen, Helle, additional, Thorup, Charlotte Brun, additional, Jacobsen, Sara, additional, Bundgaard, Karin, additional, Voldbjerg, Siri Lygum, additional, and Nielsen, Marie Germund, additional
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- 2023
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6. sj-docx-1-njn-10.1177_20571585221150225 - Supplemental material for Willingness and preparedness to work during the first wave of the COVID-19 pandemic: A cross-sectional survey among registered nurses in a Danish university hospital
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Kusk, Kathrine Hoffmann, Laugesen, Britt, Jørgensen, Lone, Albrechtsen, Maja Thomsen, Grøkjær, Mette, Cusack, Lynette, Pedersen, Birgith, Lerbæk, Birgitte, Haslund-Thomsen, Helle, Thorup, Charlotte Brun, Jacobsen, Sara, Bundgaard, Karin, Voldbjerg, Siri Lygum, and Nielsen, Marie Germund
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111099 Nursing not elsewhere classified ,111708 Health and Community Services ,111799 Public Health and Health Services not elsewhere classified ,FOS: Health sciences - Abstract
Supplemental material, sj-docx-1-njn-10.1177_20571585221150225 for Willingness and preparedness to work during the first wave of the COVID-19 pandemic: A cross-sectional survey among registered nurses in a Danish university hospital by Kathrine Hoffmann Kusk, Britt Laugesen, Lone Jørgensen, Maja Thomsen Albrechtsen, Mette Grøkjær, Lynette Cusack, Birgith Pedersen, Birgitte Lerbæk, Helle Haslund-Thomsen, Charlotte Brun Thorup, Sara Jacobsen, Karin Bundgaard, Siri Lygum Voldbjerg, and Marie Germund Nielsen in Nordic Journal of Nursing Research
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- 2023
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7. Continuity of care for adult patients with cancer in hospital settings: A scoping review protocol
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Laugesen, Britt, Grønkjær, Mette, Nielsen, Marie Germund, Jørgensen, Lone, Pedersen, Jette Thise, and Voldbjerg, Siri Lygum
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Medicine and Health Sciences - Abstract
Objective: To identify and map evaluated interventions on continuity of care for adult patients with cancer in hospital settings. Introduction: The care pathway for patients with cancer involves multiple healthcare encounters with healthcare professionals in several hospital settings. A care pathway in hospital settings calls for attention on how to attain continuity of care. Continuity of care is associated with a decline in healthcare utilization, improvements in aspects of quality of life and lower need for supportive care. Considering the importance of continuity of care for patients with cancer in hospital settings, there is a need for an overview of interventions on continuity of care for patients with cancer in hospital settings. Inclusion criteria: This scoping review will consider research studies that evaluate interventions examining continuity of care in outpatient and inpatient hospital settings and includes adult patients (≥ 18 years) with cancer. Interventions initiated by hospital before, during and preceding after hospitalization or at outpatient visit will be included. Research studies that evaluate interventions on continuity of care qualitatively or quantitatively and explicitly include continuity of care in the objective or results of the study will be included. Methods: The scoping review will be conducted in accordance with the methodology developed by the JBI and will search the following databases: PubMed, CINAHL, Embase and Cochrane Library. Keywords: Cancer; Continuity of Care; Hospitals; Interventions Introduction The number of people surviving cancer is increasing due to advances in diagnostics and treatment (1–3). As a consequence of growing medical knowledge, the care pathway for patients with cancer is increasingly complex because it involves multiple healthcare encounters in hospital settings (4,5). Patients often receive treatment and care by various healthcare professionals, such as specialist surgeons, radiographers, radiologists and cancer care nurses, who are located in different departments and units within hospital settings (2,3,6). A care pathway in and across several departments involving a variety of contacts with multiple healthcare professionals requires knowledge on how to attain continuity of care for patients with cancer in hospital settings. Continuity of care can be challenging to define, and existing definitions overlap with related concepts and terms (7,8). However, the theoretical framework of Haggerty et al. (5) has previously been found useful to explore continuity of care among patients with cancer (3,6,9,10). Therefore, this scoping review adheres to the definition provided by Haggerty et al. (5), in which continuity of care is understood as the extent to which a series of health services are experienced by the patient as connected, coherent and consistent with the patient’s medical needs and personal circumstances (5). The definition describes continuity of care as a multidimensional construct and outlines that three types of continuity exist in all healthcare settings: informational, management and relational continuity (5). Informational continuity is the use and transmission of information between healthcare professionals and events concerning both medical issues and the patient’s preferences, values and context. Management continuity is how the healthcare system coordinates and relates to consistent, coherent management of the health condition as it concerns the delivery of services in a complementary, timely and appropriate manner. Relational continuity describes the ongoing relationship between patient and healthcare professionals and is characterized by the development of trust and predictability (5,11). A systematic review shows that continuity of care is associated with improved patient satisfaction and a decline in hospitalization and emergency visits (12). Furthermore, interventions addressing continuity of care among adults with chronic diseases can significantly improve different aspects of quality of life, including physical function, general health and social function (13). In patients with cancer, continuity of care has been shown to reduce the need for supportive care (2), whereas lack of continuity of care is associated with medical errors medication continuity error, test follow up errors and work-up errors (14). One of the main challenges in cancer care is the lack of continuity in the services needed by patients throughout their trajectory of care (5,10,15). Provision of continuity of care can be impeded by a number of factors, such as challenges in transfer of information, quality of interpersonal relationships and coordination of care (10). Surveillance, teamwork, communication and documentation are of great importance for patients’ experiences of continuity of care (16). Although the importance of continuity of care in cancer care has been acknowledged in previous literature (3,6,15,17). It has also been recognized as difficult to achieve due to fragmentation in care, discontinuity or gaps in care and treatment, and care being provided by different professionals in different settings (11,18). By nature, cancer care is fragmented and characterized by diverse clinical features, treatment phases and outcomes (3). Therefore, there is a need to address how to support continuity of care in patients with cancer by identifying and mapping interventions to improve continuity of care. Studies show that patients with cancer have multiple needs (2,6). Different strategies and interventions have been tested to improve continuity of care in terms of reducing care needs, improving communication, empowerment and patients’ experiences with care for patients with cancer within hospital settings (19–22). The interventions include telephone consultations and teleconsultations (23,24), use of assessment tools (20,25) and the use of patient navigators and pivot-nurses in provider-centered interventions (21,22). The diverse interventions address different types and dimensions of continuity of care (5). Telephone consultations and teleconsultations primarily focus on improving management continuity, provider-centered interventions focus on improving relational continuity, and assessment tool interventions address informational continuity. Thus, the interventions are heterogeneous and address different types of continuity of care for patients with cancer in hospital settings. Therefore, there is a need to provide an overview of the existing interventions and the type of continuity addressed to inspire the future development of interventions and improve continuity of care for patients with cancer in hospital settings. A preliminary search of PROSPERO, MEDLINE, the Cochrane Database of Systematic Reviews and JBI Evidence Synthesis was conducted in November, 2022, and no current or in-progress scoping reviews or systematic reviews on the topic were identified. Other reviews related to the topic either focus on continuity of care across settings (3,26), exclusively focus on one type of continuity of care (27), or are limited to the effects of one intervention type on continuity of care (15). The Cochrane review of Aubin et al. (28) is the most comprehensive and relevant systematic review. However, the objective of the review is to evaluate the effectiveness of interventions to improve continuity of cancer care in the follow-up period, focusing on the continuity of care after discharging back to primary physician. As such, previous systematic reviews on the continuity of care for patients with cancer have predominantly focused on improving continuity across sectors, mainly between primary care, hospital settings and healthcare providers (3,26). Less research attention has been given to providing an overview of evaluated interventions aimed at improving the continuity of cancer care in and across hospital settings. However, continuity of care within and across hospital settings is essential for patients and can be impeded by numerous factors. Therefore, the objective of this scoping review is to identify, and map evaluated interventions on continuity of care for adult patients with cancer in in- and outpatient hospital settings. Review questions Which interventions on continuity of care have been evaluated in adult patients with cancer in hospital settings? What are the characteristics of the identified interventions (e.g. type of continuity addressed (cf. Haggerty et al. (5), population, hospital setting, length of intervention, healthcare professionals involved)? How have interventions on continuity of care been measured and evaluated? Inclusion criteria Participants This study will consider research studies that include adult patients (≥ 18 years) with any type of cancer. Concept This scoping review will consider research studies that evaluate interventions examining the continuity of care for patients with cancer in hospital settings. Interventions refer to all initiatives, projects, programs, strategies, models, approaches, processes, structures etc.. Research studies that evaluate interventions on continuity of care qualitatively or quantitatively and explicitly include continuity of care in the objective or results of the study will be included. Context This scoping review will consider studies that focus on continuity of care interventions in inpatient and outpatient hospital settings. Interventions initiated by hospital before, during and preceding after hospitalization or at outpatient visit will be included. Research studies that evaluate interventions on continuity of care qualitatively or quantitatively and explicitly include continuity of care in the objective or results of the study will be included. Studies focusing on continuity of care in other health care settings than hospital will be excluded. Types of sources This scoping review will consider primary research studies examining continuity of care in evaluated interventions regardless of study design, which include but are not limited to qualitative, mixed-method, and quantitative study designs. As only evaluated interventions will be eligible, protocols, editorials, viewpoints, letters, and conference proceedings will be excluded. Reference lists of existing reviews that meet the inclusion criteria will be reviewed for eligible studies. Methods The scoping review will be conducted in accordance with the methodology developed by the JBI (29) and reported in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist (30). Search strategy The search strategy will aim to locate published primary research studies. An initial search of PubMed (National Library of Medicine) and CINAHL (EBSCO) was undertaken to identify articles on the topic. The text words contained in the titles and abstracts of relevant articles and the index terms used to describe the articles were used to develop a full search strategy for PubMed (National Library of Medicine) (Appendix I: Search strategy), Cochrane Library (John Wiley and Sons), CINAHL (EBSCO), and Embase (Elsevier). Afterwards, a comprehensive full search strategy tailored to each information source will be developed and performed. Search terms and relevant synonyms related to the population, concept, and context of interest will be used to identify relevant articles using database-specific controlled vocabulary terms (e.g., MeSH in PubMed) combined with text words. The full search strategy will include combinations and variations of keywords relating to the participants, concept, and context of interest. Consequently, the keywords hospital, hospitalization, inpatient, and outpatient will be supplemented by keywords covering these alternative hospital settings. References in the studies selected for inclusion will be reviewed for eligible evidence sources. In addition, a cited reference search of the studies selected for inclusion will be conducted. Studies published in English, Danish, Swedish, or Norwegian will be included. The literature does not indicate a certain time when the literature on continuity of care for patients with cancer emerged; hence, no time limits will be applied to the search. Prior to finalizing the scoping review, the search will be rerun in all databases to identify new eligible studies. Source of evidence selection Following the search, all identified citations will be collated and uploaded into Mendeley - Reference Management Software (Elsevier, USA), and the duplicates will be removed. Afterwards, all citations will be uploaded to the Rayyan software to assist the screening process (31). The screening process will be conducted according to the JBI manual (2conceptconconoo9). To ensure consistency across the review team in the study selection process, the reviewers will perform a pilot test by reviewing the same random sample of 25 titles/abstracts using the eligibility criteria and discussing discrepancies and potential modifications of the eligibility criteria. The title/abstracts will be screened for eligibility by two independent reviewers. Disagreements between reviewers at the title/abstract screening will not be resolved, as any information source considered eligible by at least one of the reviewers will move forward to full-text screening. The full text of selected citations will be assessed in detail against the inclusion criteria by two independent reviewers. Reasons for exclusion of full-text papers that do not meet the inclusion criteria will be recorded and reported in the scoping review. Any disagreements that arise between the reviewers at any stage of the selection process will be resolved through discussion or by a third reviewer. The results of the search will be reported in full in the final scoping review and presented in a PRISMA-ScR flow diagram (30). Data extraction Data will be extracted from papers included in the scoping review by two independent reviewers using a modified version of the JBI data extraction tool (29) (see Appendix II). The extracted data will include specific details about the population, concept, context, methods, and key findings relevant to the review question. The draft data extraction tool will be further modified and revised during the process of extracting data from each included paper. Modifications will be detailed in the full scoping review. Prior to the data extraction phase, the developed extraction form will be pilot tested by two reviewers on at least two included information sources to ensure the consistency and extraction of all relevant data. Any disagreements that arise between the reviewers will be resolved through discussion or with a third reviewer. Authors of the papers will be contacted to request missing or additional data when required. Data analysis and presentation The findings of the included sources will be extracted and descriptively mapped. The total number of interventions identified in diverse hospital settings will be presented as frequency counts. To provide a systematic overview of the existing literature, the following characteristics of each of the included studies will be presented in tables: study design; study setting and context; participant characteristics; intervention characteristics; evaluation method; measurement tools; and overall conclusions. Furthermore, for each intervention, we will identify which types of continuity of care are addressed by the intervention: informational, management, or relational continuity (5). A narrative description of the extracted data will be presented alongside the tables. References 1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424. 2. King M, Jones L, Richardson A, Murad S, Irving A, Aslett H, et al. The relationship between patients’ experiences of continuity of cancer care and health outcomes: a mixed methods study. Br J Cancer. 2008;98(3):529–36. 3. Aubin M, Giguère A, Martin M, Verreault R, Fitch MI, Kazanjian A, et al. Interventions to improve continuity of care in the follow-up of patients with cancer. Cochrane Database Syst Rev. 2012;(7):CD007672. 4. De Regge M, De Pourcq K, Meijboom B, Trybou J, Mortier E, Eeckloo K. The role of hospitals in bridging the care continuum: a systematic review of coordination of care and follow-up for adults with chronic conditions. BMC Health Serv Res. 2017;17(1):550. 5. Haggerty JL, Reid RJ, Freeman GK, Starfield BH, Adair CE, McKendry R. Continuity of care: a multidisciplinary review. BMJ. 2003;327(7425):1219–21. 6. Lafferty J, Rankin F, Duffy C, Kearney P, Doherty E, McMenamin M, et al. Continuity of care for women with breast cancer: a survey of the views and experiences of patients, carers and health care professionals. Eur J Oncol Nurs Off J Eur Oncol Nurs Soc. 2011;15(5):419–27. 7. Holland DE, Harris MR. Discharge planning, transitional care, coordination of care, and continuity of care: Clarifying concepts and terms from the hospital perspective. Home Health Care Serv Q. 2007;26(4):3–19. 8. Uijen AA, Schers HJ, Schellevis FG, Van den bosch WJHM. How unique is continuity of care? A review of continuity and related concepts. Fam Pract. 2012;29(3):264–71. 9. Plate S, Emilsson L, Söderberg M, Brandberg Y, Wärnberg F. High experienced continuity in breast cancer care is associated with high health related quality of life. BMC Health Serv Res. 2018;18(1):1–8. 10. Dumont I, Dumont S, Turgeon J. Continuity of care for advanced cancer patients. J Palliat Care. 2005;21(1):49–56. 11. Reid RJ, Haggerty JL, McKendry R. Defusing the confusion: Concepts and measures of continuity of healthcare. Ottawa; 2002. 12. van Walraven C, Oake N, Jennings A, Forster AJ. The association between continuity of care and outcomes: a systematic and critical review. J Eval Clin Pract. 2010;16(5):947–56. 13. Chen MM, Megwalu UC, Liew J, Sirjani D, Rosenthal EL, Divi V. Regionalization of head and neck cancer surgery may fragment care and impact overall survival. Laryngoscope. 2019;129(6):1413–9. 14. Moore C, Wisnivesky J, Williams S, McGinn T. Medical errors related to discontinuity of care from an inpatient to an outpatient setting. J Gen Intern Med. 2003;18(8):646–51. 15. Gysels M, Richardson A, Higginson IJ. Does the patient-held record improve continuity and related outcomes in cancer care: a systematic review. Heal Expect. 2007;10(1):75–91. 16. Jones A, Johnstone MJ. Managing gaps in the continuity of nursing care to enhance patient safety. Collegian. 2019;26(1):151-7. 17. Dossett LA, Hudson JN, Morris AM, Lee MC, Roetzheim RG, Fetters MD, et al. The primary care provider (PCP)-cancer specialist relationship: A systematic review and mixed-methods meta-synthesis. CA Cancer J Clin. 2017;67(2):156–69. 18. Cook RI, Render M, Woods DD. Gaps in the continuity of care and progress on patient safety. Br Med J. 2000;320(7237):791–4. 19. King M, Jones L, Nazareth I. Concerns and Continuity in the Care of Cancer Patients and their Carers: A multi-method approach to enlightened management. . Report for National Co-ordinating Centre for NHS Service Delivery and Organisation R&D (NCCSDO). 2006. 20. Velikova G, Keding A, Harley C, Cocks K, Booth L, Smith AB, et al. Patients report improvements in continuity of care when quality of life assessments are used routinely in oncology practice: Secondary outcomes of a randomised controlled trial. Eur J Cancer. 2010;46(13):2381–8. 21. Gabitova G, Burke NJ. Improving healthcare empowerment through breast cancer patient navigation: A mixed methods evaluation in a safety-net setting. BMC Health Serv Res. 2014;14(1):1–11. 22. McMullen L. Oncology Nurse Navigators and the Continuum of Cancer Care. Semin Oncol Nurs. 2013;29(2):105–17. 23. Beaver K, Williamson S, Chalmers K. Telephone follow-up after treatment for breast cancer: Views and experiences of patients and specialist breast care nurses. J Clin Nurs. 2010;19:2916–24. 24. Hoek PD, Schers HJ, Bronkhorst EM, Vissers KCP, Hasselaar JGJ. The effect of weekly specialist palliative care teleconsultations in patients with advanced cancer -A randomized clinical trial. BMC Med. 2017;15:119. 25. King M, Jones L, McCarthy O, Rogers M, Richardson A, Williams R, et al. Development and pilot evaluation of a complex intervention to improve experienced continuity of care in patients with cancer. Br J Cancer. 2009;100(2):274–80. 26. Tomasone JR, Brouwers MC, Vukmirovic M, Grunfeld E, O’Brien MA, Urquhart R, et al. Interventions to improve care coordination between primary healthcare and oncology care providers: A systematic review. ESMO Open. 2016;1(5). 27. Gagliardi AR, Dobrow MJ, Wright FC. How can we improve cancer care? A review of interprofessional collaboration models and their use in clinical management. Surg Oncol. 2011;20(3):146–54. 28. Aubin M, Giguère A, Martin M, Verreault R, Fitch MI, Kazanjian A, et al. Interventions to improve continuity of care in the follow-up of patients with cancer. Cochrane database Syst Rev. 2012;(7):CD0076(7):CD007672. 29. Peters MDJ, Godfrey C, McInerney P, Munn Z, Tricco AC, Khalil H. Chapter 11: Scoping Reviews (2020 version). In: Aromataris E, Munn Z, editors. JBI Manual for Evidence Synthesis. JBI; 2020. 30. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018;169(7):467–73. 31. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan - a web and mobile app for systematic reviews. Syst Rev. 2016;5(1):210.
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- 2023
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8. Patients experiences of their relationships with relatives and their collaboration with nurses during contact in non-COVID-19 hospital wards – A qualitative study
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Pedersen, Birgith, primary, Lerbæk, Birgitte, additional, Jørgensen, Lone, additional, Haslund-Thomsen, Helle, additional, Thorup, Charlotte Brun, additional, Albrechtsen, Maja Thomsen, additional, Jacobsen, Sara, additional, Nielsen, Marie Germund, additional, Kusk, Kathrine Hoffmann, additional, Laugesen, Britt, additional, Voldbjerg, Siri Lygum, additional, Grønkjær, Mette, additional, and Bundgaard, Karin, additional
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- 2022
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9. Measuring Comprehensive, General Health Literacy in the General Adult Population: The Development and Validation of the HLS19-Q12 Instrument in Seventeen Countries
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Pelikan, Jürgen M., primary, Link, Thomas, additional, Straßmayr, Christa, additional, Waldherr, Karin, additional, Alfers, Tobias, additional, Bøggild, Henrik, additional, Griebler, Robert, additional, Lopatina, Maria, additional, Mikšová, Dominika, additional, Nielsen, Marie Germund, additional, Peer, Sandra, additional, and Vrdelja, Mitja, additional
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- 2022
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10. Methods
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Link, Thomas, Pelikan, Jürgen, Miksová, Dominika, Strassmayr, Christa, Berzelak, Nejc, Bøggild, Henrik, Finbråten, Hanne Søberg, Guttersrud, Øystein, Le, Christopher, Nielsen, Marie Germund, Nogueira, Paulo Jorge, and Pettersen, Kjell Sverre
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SDG 3 - Good Health and Well-being - Published
- 2021
11. The HLS19-Q12 measure
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Link, Thomas, Pelikan, Jürgen, Miksová, Dominika, Strassmayr, Christa, Alfers, Tobias, Berens, Eva-Maria, Berzelak, Nejc, Bøggild, Henrik, Drapkina, Oxana, Finbråten, Hanne Søberg, Griebler, Robert, Guttersrud, Øystein, Le, Christopher, Lopatina, Maria, Nielsen, Marie Germund, Nogueira, Paulo Jorge, Oliveira, Jorge, Peer, Sandra, Pettersen, Kjell Sverre, Schaeffer, Doris, Vrbovsek, Sanja, Vrdelja, Mitja, and Waldherr, Karin
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SDG 3 - Good Health and Well-being - Published
- 2021
12. Nurses’ Clinical Decision-Making in a Changed COVID-19 Work Environment: A Focus Group Study
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Laugesen, Britt, primary, Albrechtsen, Maja Thomsen, additional, Grønkjær, Mette, additional, Kusk, Kathrine Hoffmann, additional, Nielsen, Marie Germund, additional, Jørgensen, Lone, additional, Pedersen, Birgith, additional, Lerbæk, Birgitte, additional, Haslund-Thomsen, Helle, additional, Thorup, Charlotte Brun, additional, Jacobsen, Sara, additional, Bundgaard, Karin, additional, and Voldbjerg, Siri Lygum, additional
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- 2022
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13. Nursing care during COVID-19 at non-COVID-19 hospital units: A qualitative study
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Jørgensen, Lone, primary, Pedersen, Birgith, additional, Lerbæk, Birgitte, additional, Haslund-Thomsen, Helle, additional, Thorup, Charlotte Brun, additional, Albrechtsen, Maja Thomsen, additional, Jacobsen, Sara, additional, Nielsen, Marie Germund, additional, Kusk, Kathrine Hoffmann, additional, Laugesen, Britt, additional, Voldbjerg, Siri Lygum, additional, Grønkjær, Mette, additional, and Bundgaard, Karin, additional
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- 2021
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14. Measuring Comprehensive, General Health Literacy in the General Adult Population: The Development and Validation of the HLS 19 -Q12 Instrument in Seventeen Countries.
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Pelikan, Jürgen M., Link, Thomas, Straßmayr, Christa, Waldherr, Karin, Alfers, Tobias, Bøggild, Henrik, Griebler, Robert, Lopatina, Maria, Mikšová, Dominika, Nielsen, Marie Germund, Peer, Sandra, and Vrdelja, Mitja
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- 2022
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15. sj-docx-1-njn-10.1177_20571585211047429 - Supplemental material for Nursing care during COVID-19 at non-COVID-19 hospital units: A qualitative study
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Jørgensen, Lone, Pedersen, Birgith, Lerbæk, Birgitte, Haslund-Thomsen, Helle, Thorup, Charlotte Brun, Albrechtsen, Maja Thomsen, Jacobsen, Sara, Nielsen, Marie Germund, Kusk, Kathrine Hoffmann, Laugesen, Britt, Voldbjerg, Siri Lygum, Grønkjær, Mette, and Bundgaard, Karin
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111099 Nursing not elsewhere classified ,111708 Health and Community Services ,111799 Public Health and Health Services not elsewhere classified ,FOS: Health sciences - Abstract
Supplemental material, sj-docx-1-njn-10.1177_20571585211047429 for Nursing care during COVID-19 at non-COVID-19 hospital units: A qualitative study by Lone Jørgensen, Birgith Pedersen, Birgitte Lerbæk, Helle Haslund-Thomsen, Charlotte Brun Thorup, Maja Thomsen Albrechtsen, Sara Jacobsen, Marie Germund Nielsen, Kathrine Hoffmann Kusk, Britt Laugesen, Siri Lygum Voldbjerg, Mette Grønkjær and Karin Bundgaard in Nordic Journal of Nursing Research
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- 2021
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16. International Report on the Methodology, Results, and Recommendations of the European Health Literacy Population Survey 2019-2021 (HLS19) of M-POHL
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Pelikan, Jürgen M., Straßmayr, Christa, Link, Thomas, Miksova, Dominika, Nowak, Peter, Griebler, Robert, Dietscher, Christina, Van Den Broucke, Stephan, Charafeddine, Rana, Yanakieva, Antoniya, Nygyar Dzhafer, Kucera, Zdenek, Šteflová, Alena, Bøggild, Henrik, Sørensen, Andreas Jull, Mancini, Julien, Chêne, Geneviève, Schaeffer, Doris, Schmidt-Gernig, Alexander, Biro, Eva, Csizmadia, Péter, Bruton, Lucy, Gibney, Sarah, Levin-Zamir, Diane, Baron-Epel, Orna, Palmieri, Luigi, Galeone, Daniela, Pettersen, Kjell Sverre, Le, Christopher, Da Costa, Andreia Silva, De Arriaga, Miguel Telo, Lopatina, Maria, Drapkina, Oxana, Klocháňová, Zuzana, Vrdelja, Mitja, Kolnik, Tamara Štemberger, De Gani, Saskia, Gasser, Karin, Rosano, Aldo, Da Silva, Carlota Ribeiro, Cadeddu, Chiara, Eva-Maria Berens, Doyle, Gerardine, Rowlands, Gill, Finbraaten, Hanne Soeberg, Oliveira, Jorge, Wangdahl, Josefin, Waldherr, Karin, Sørensen, Kristine, Griese, Lennert, Regazzi, Luca, Nielsen, Marie Germund, Berzelak, Nejc, De Castro, Paola, Nogueira, Paulo Jorge, Joranger, Pål, Rajae Touzani, Jaks, Rebecca, Francisco, Rita, Peer, Sandra, Vrbovsek, Sanja, De Gani, Saskia Maria, Alfers, Tobias, Youssoufa Ousseine, and Guttersrud, Øystein
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- 2021
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17. Nursing care during COVID-19 at non-COVID-19 hospital units: A qualitative study.
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Jørgensen, Lone, Pedersen, Birgith, Lerbæk, Birgitte, Haslund-Thomsen, Helle, Thorup, Charlotte Brun, Albrechtsen, Maja Thomsen, Jacobsen, Sara, Nielsen, Marie Germund, Kusk, Kathrine Hoffmann, Laugesen, Britt, Voldbjerg, Siri Lygum, Grønkjær, Mette, and Bundgaard, Karin
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NURSING ,COVID-19 ,NURSES' attitudes ,ACADEMIC medical centers ,RESEARCH methodology ,INTERVIEWING ,PATIENT-centered care ,QUALITATIVE research ,NURSE-patient relationships ,SOCIAL isolation ,NURSES ,HOSPITAL wards ,EMPLOYEES' workload ,CONTENT analysis ,JUDGMENT sampling - Abstract
The maintenance of physical distance, the absence of relatives and the relocation of registered nurses to COVID-19 units presumably affects nursing care at non-COVID-19 units. Using a qualitative design, this study explored registered nurses' experiences of how COVID-19 influenced nursing care in non-COVID-19 units at a Danish university hospital during the first wave of the virus. The study is reported using the COREQ checklist. The analysis offered two findings: (1) the challenge of an increased workload for registered nurses remaining in non-COVID-19 units and (2) the difficulty of navigating the contradictory needs for both closeness to and distance from patients. The study concluded that several factors challenged nursing care in non-COVID-19 units during the COVID-19 pandemic. These may have decreased the amount of contact between patients and registered nurses, which may have contributed to a task-oriented approach to nursing care, leading to missed nursing care. [ABSTRACT FROM AUTHOR]
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- 2022
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18. Patient outcomes matter:The development of a new patient-reported outcome measure for adolescents with anterior knee pain
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Lyng, Kristian Damgaard, Nielsen, Marie Germund, Winters, Marinus, Holden, Sinead, Johansen, Simon Kristoffer, and Rathleff, Michael Skovdal
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- 2020
19. Diagnosing depression in primary care:a Rasch analysis of the major depression inventory
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Christensen, Kaj Sparle, Oernboel, Eva, Nielsen, Marie Germund, Bech, Per, Christensen, Kaj Sparle, Oernboel, Eva, Nielsen, Marie Germund, and Bech, Per
- Abstract
OBJECTIVE: This study aims to assess the measurement properties of the Major Depression Inventory (MDI) in a clinical sample of primary care patients.DESIGN: General practitioners (GPs) handed out the MDI to patients aged 18-65 years on clinical suspicion of depression.SETTING: Thirty-seven general practices in the Central Denmark Region participated in the study.PATIENTS: Data for 363 patients (65% females, mean age: 49.8 years, SD: 17.7) consulting their GP were included in the analysis.MAIN OUTCOME MEASURES: The overall fit to the Rasch model, individual item and person fit, and adequacy of response categories were tested. Statistical tests for local dependency, unidimensionality, differential item functioning, and correct targeting of the scale were performed. The person separation reliability index was calculated. All analyses were performed using RUMM2030 software.RESULTS: Items 9 and 10 demonstrated misfit to the Rasch model, and all items demonstrated disordered response categories. After modifying the original six-point to a five-point scoring system, ordered response categories were achieved for all 10 items. The MDI items seemed well targeted to the population approached. Model fit was also achieved for core symptoms of depression (items 1-3) and after dichotomization of items according to diagnostic procedure.CONCLUSION: Despite some minor problems with its measurement structure, the MDI seems to be a valid instrument for identification of depression among adults in primary care. The results support screening for depression based on core symptoms and dichotomization of items according to diagnostic procedure. Key points The Major Depression Inventory (MDI) is widely used for screening, diagnosis and monitoring of depression in general practice. This study demonstrates misfit of items 9 and 10 to the Rasch model and a need to modify the scoring system The findings support screening for depression based on core
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- 2019
20. Validation of instruments for diagnosing depression and measuring stress in general practice
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Nielsen, Marie Germund
- Published
- 2018
21. Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory
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Christensen, Kaj Sparle, primary, Oernboel, Eva, additional, Nielsen, Marie Germund, additional, and Bech, Per, additional
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- 2019
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22. Barriers and facilitators to using a web-based tool for diagnosis and monitoring of patients with depression: a qualitative study among Danish general practitioners
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Krog, Mette Daugbjerg, primary, Nielsen, Marie Germund, additional, Le, Jette Videbæk, additional, Bro, Flemming, additional, Christensen, Kaj Sparle, additional, and Mygind, Anna, additional
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- 2018
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23. The criterion validity of the web-based Major Depression Inventory when used on clinical suspicion of depression in primary care
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Nielsen,Marie Germund, Ãrnbøl,Eva, Bech,Per, Vestergaard,Mogens, Christensen,Kaj Sparle, Nielsen,Marie Germund, Ãrnbøl,Eva, Bech,Per, Vestergaard,Mogens, and Christensen,Kaj Sparle
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Marie Germund Nielsen,1 Eva Ørnbøl,2 Per Bech,3 Mogens Vestergaard,1,4 Kaj Sparle Christensen1 1Research Unit for General Practice, Department of Public Health, Aarhus University, 2Research Clinic for Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, 3Psychiatric Research Unit, Psychiatric Centre North Zealand, University Hospital of Copenhagen, Hillerød, 4Section for General Medical Practice, Department of Public Health, Aarhus University, Aarhus, Denmark Background: The Major Depression Inventory (MDI) is widely used in Danish general practice as a screening tool to assess depression in symptomatic patients. Nevertheless, no validation studies of the MDI have been performed. The aim of this study was to validate the web-based version of the MDI against a fully structured telephone interview in a population selected on clinical suspicion of depression (ie, presence of two or three core symptoms of depression) in general practice.Materials and methods: General practitioners (GPs) invited consecutive persons suspected of depression to complete the web-based MDI in a primary care setting. The validation was based on the Munich-Composite International Diagnostic Interview (M-CIDI) by phone. GPs in the 22 practices in our study included 132 persons suspected of depression. Depression was rated as yes/no according to the MDI and M-CIDI. Sensitivity, specificity, and positive predictive value of the International Classification of Diseases, Tenth Revision (ICD-10) algorithms of the MDI were examined.Results: According to the M-CIDI interview, 87.9% of the included population was depressed and 64.4% was severely depressed. According to the MDI scale, 59.1% of the population was depressed and 31.8% was severely depressed. The sensitivity of the MDI for depression was 62.1% (95% confidence interval [95% CI]: 52.6–70.9) and the specificity was 62.5% (95% CI: 35.4–84.8). The sensi
- Published
- 2017
24. The criterion validity of the web-based Major Depression Inventory when used on clinical suspicion of depression in primary care
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Nielsen, Marie Germund, Ørnbøl, Eva, Bech, Per, Vestergaard, Mogens, Christensen, Kaj Sparle, Nielsen, Marie Germund, Ørnbøl, Eva, Bech, Per, Vestergaard, Mogens, and Christensen, Kaj Sparle
- Abstract
BACKGROUND: The Major Depression Inventory (MDI) is widely used in Danish general practice as a screening tool to assess depression in symptomatic patients. Nevertheless, no validation studies of the MDI have been performed. The aim of this study was to validate the web-based version of the MDI against a fully structured telephone interview in a population selected on clinical suspicion of depression (ie, presence of two or three core symptoms of depression) in general practice.MATERIALS AND METHODS: General practitioners (GPs) invited consecutive persons suspected of depression to complete the web-based MDI in a primary care setting. The validation was based on the Munich-Composite International Diagnostic Interview (M-CIDI) by phone. GPs in the 22 practices in our study included 132 persons suspected of depression. Depression was rated as yes/no according to the MDI and M-CIDI. Sensitivity, specificity, and positive predictive value of the International Classification of Diseases, Tenth Revision (ICD-10) algorithms of the MDI were examined.RESULTS: According to the M-CIDI interview, 87.9% of the included population was depressed and 64.4% was severely depressed. According to the MDI scale, 59.1% of the population was depressed and 31.8% was severely depressed. The sensitivity of the MDI for depression was 62.1% (95% confidence interval [95% CI]: 52.6-70.9) and the specificity was 62.5% (95% CI: 35.4-84.8). The sensitivity for severe depression was 42.2% (95% CI: 30.6-52.4) and the specificity was 85.1% (95% CI: 71.7-93.8). The receiver operating curve showed an area under the curve of 0.66 (95% CI: 0.52-0.81) for any depression and of 0.72 (95% CI: 0.63-0.81) for severe depression.CONCLUSION: The MDI is a conservative instrument for diagnosing ICD-10 depression in a clinical setting compared to the M-CIDI interview. Only a few false-positive diagnoses were identified when the MDI was used on clinical suspicion of depression.
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- 2017
25. The construct validity of the Major Depression Inventory:A Rasch analysis of a self-rating scale in primary care
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Nielsen, Marie Germund, Ørnbøl, Eva, Vestergaard, Mogens, Bech, Per, Christensen, Kaj Sparle, Nielsen, Marie Germund, Ørnbøl, Eva, Vestergaard, Mogens, Bech, Per, and Christensen, Kaj Sparle
- Abstract
Objective We aimed to assess the measurement properties of the ten-item Major Depression Inventory when used on clinical suspicion in general practice by performing a Rasch analysis. Methods General practitioners asked consecutive persons to respond to the web-based Major Depression Inventory on clinical suspicion of depression. We included 22 practices and 245 persons. Rasch analysis was performed using RUMM2030 software. The Rasch model fit suggests that all items contribute to a single underlying trait (defined as internal construct validity). Mokken analysis was used to test dimensionality and scalability. Results Our Rasch analysis showed misfit concerning the sleep and appetite items (items 9 and 10). The response categories were disordered for eight items. After modifying the original six-point to a four-point scoring system for all items, we achieved ordered response categories for all ten items. The person separation reliability was acceptable (0.82) for the initial model. Dimensionality testing did not support combining the ten items to create a total score. The scale appeared to be well targeted to this clinical sample. No significant differential item functioning was observed for gender, age, work status and education. The Rasch and Mokken analyses revealed two dimensions, but the Major Depression Inventory showed fit to one scale if items 9 and 10 were excluded. Conclusion Our study indicated scalability problems in the current version of the Major Depression Inventory. The conducted analysis revealed better statistical fit when items 9 and 10 were excluded.
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- 2017
26. The criterion validity of the web-based Major Depression Inventory when used on clinical suspicion of depression in primary care
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Nielsen, Marie Germund, primary, Ørnbøl, Eva, additional, Bech, Per, additional, Vestergaard, Mogens, additional, and Christensen, Kaj Sparle, additional
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- 2017
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27. Patients experiences of their relationships with relatives and their collaboration with nurses during contact in non-COVID-19 hospital wards – A qualitative study
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Pedersen, Birgith, Lerbæk, Birgitte, Jørgensen, Lone, Haslund-Thomsen, Helle, Thorup, Charlotte Brun, Albrechtsen, Maja Thomsen, Jacobsen, Sara, Nielsen, Marie Germund, Kusk, Kathrine Hoffmann, Laugesen, Britt, Voldbjerg, Siri Lygum, Grønkjær, Mette, and Bundgaard, Karin
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COVID-19 restrictions prevented relatives from visiting and accompanying patients to hospital and required that nurses wore personal protective equipment. These changes affected patients’ relationships with relatives and challenged their ability to connect with nurses. Individual, semi-structured interviews with 15 patients were carried out to explore patients’ experiences of their relationships with relatives and their collaboration with nurses during in- and outpatient contacts in non-COVID-19 hospital wards. The analysis of data was guided by phenomenological hermeneutic frame of reference and the study was reported according to the COREQ checklist. The findings illustrated that patients felt lonely and insecure when separated from relatives, caught between relatives and professionals during information exchange, and experienced the absence of relatives as both beneficial and burdening. Visitor restrictions provided patients with time to heal but prevented provision of informal care. Patients had to take responsibility for maintaining contact with relatives independent of their health condition. COVID-19 restrictions created distance with nurses, which potentially led to insufficient physical and psychosocial care.
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- 2024
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28. The Association Between Perceived Stress and Mortality Among People With Multimorbidity: A Prospective Population-Based Cohort Study
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Prior, Anders, primary, Fenger-Grøn, Morten, additional, Larsen, Karen Kjær, additional, Larsen, Finn Breinholt, additional, Robinson, Kirstine Magtengaard, additional, Nielsen, Marie Germund, additional, Christensen, Kaj Sparle, additional, Mercer, Stewart W., additional, and Vestergaard, Mogens, additional
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- 2016
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29. Feeling worried and powerless: A qualitative interview study of relatives’ experiences of the collaboration with patients and nurses during COVID-19 visiting restrictions in Denmark
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Haslund-Thomsen, Helle, Thorup, Charlotte Brun, Laugesen, Britt, Jørgensen, Lone, Pedersen, Birgith, Voldbjerg, Siri Lygum, Nielsen, Marie Germund, Jacobsen, Sara, Kusk, Kathrine Hoffmann, Albrechtsen, Maja Thomsen, Bundgaard, Karin, Grønkjær, Mette, and Lerbæk, Birgitte
- Abstract
Relatives are an important resource to hospitalised patients and hence to nursing. During the COVID-19 pandemic, visiting restriction policies were implemented in healthcare settings globally, unwillingly excluding relatives from visiting the bedsides of their loved ones. The aim of the present study was to explore how the visiting restrictions influenced relatives’ relationships with patients and collaboration with registered nurses at non-pandemic hospital wards. In total, 13 relatives were interviewed. The study was reported following the COREQ guidelines and checklist. Content analysis led to three themes: 1) being excluded from providing care and support; 2) being excluded from conveying person-centred and situational relevant knowledge to registered nurses; and 3) being excluded from assessing the health status of the hospitalised loved one. Together they describe relatives feeling worried and powerless regarding the health of their hospitalised loved one and the performed nursing care. Findings from studies such as this are pivotal to any future national or global health crisis, where visiting restriction policies are implemented.
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- 2023
- Full Text
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