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Mortazavi, R., Grudin, R., Jarbin, H. & Larsson, I. (2024). Empowered and engaged: Group exercise for adolescent depression – perspectives from adolescents, parents and healthcare professionals. SAGE Open Medicine, 12
Open this publication in new window or tab >>Empowered and engaged: Group exercise for adolescent depression – perspectives from adolescents, parents and healthcare professionals
2024 (English)In: SAGE Open Medicine, E-ISSN 2050-3121, Vol. 12Article in journal (Refereed) Epub ahead of print
Abstract [en]

Objectives: Depression is increasing and is a leading cause of disease burden among adolescents. Available evidence-based treatments with medication or psychotherapy have modest effects. Aerobic exercise is a hopeful alternative as an augmenter or a stand-alone treatment. Qualitative studies have shown that participants in group exercise for adolescent depression experienced improved mood and a sense of achievement, commitment and empowerment. This study aimed to explore not only adolescents’ but also parents’ and healthcare professionals’ experiences of a group exercise intervention for adolescents with depression. Methods: Nine adolescents who had participated in a group aerobic exercise intervention for 12 weeks, eight parents and two healthcare professionals were interviewed. We used a latent qualitative content analysis with an inductive approach that resulted in nine sub-categories, three categories and an overarching theme. Results: The experiences of a group exercise intervention for adolescents with depression were expressed in the overarching theme ‘Group exercise for adolescent depression promotes empowerment and engagement in everyday life’, based on three categories: exercise alleviates depressive symptoms, exercise contributes to balance in life and exercise promotes self-esteem. However, there was variation in our results, in that not all participants experienced improvements from exercising. Adolescents described more varied experiences, while parents and healthcare professionals mainly expressed positive views. Conclusions: Our findings suggest that group exercise for adolescent depression promotes empowerment and engagement in everyday life, according to adolescents, and more clearly so according to parents and healthcare professionals. © The Author(s) 2024.

Place, publisher, year, edition, pages
Thousand Oaks, CA: Sage Publications, 2024
Keywords
Adolescents, aerobic, depression, exercise, multiple perspectives, qualitative research
National Category
Health Sciences
Research subject
Health Innovation, M4HP; Health Innovation, IDC
Identifiers
urn:nbn:se:hh:diva-52731 (URN)10.1177/20503121231225340 (DOI)001155465600001 ()38313468 (PubMedID)2-s2.0-85183699523 (Scopus ID)
Funder
Region Halland, HALLAND-974473; HALLAND-979037Stiftelsen drottning Silvias jubileumsfond
Available from: 2024-02-21 Created: 2024-02-21 Last updated: 2024-02-22Bibliographically approved
Nilsen, P., Svedberg, P., Neher, M., Nair, M., Larsson, I., Petersson, L. & Nygren, J. M. (2023). A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project. JMIR Research Protocols, 12, Article ID e50216.
Open this publication in new window or tab >>A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project
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2023 (English)In: JMIR Research Protocols, E-ISSN 1929-0748, Vol. 12, article id e50216Article in journal (Refereed) Published
Abstract [en]

Background: Artificial intelligence (AI) has the potential in health care to transform patient care and administrative processes, yet health care has been slow to adopt AI due to many types of barriers. Implementation science has shown the importance of structured implementation processes to overcome implementation barriers. However, there is a lack of knowledge and tools to guide such processes when implementing AI-based applications in health care.

Objective: The aim of this protocol is to describe the development, testing, and evaluation of a framework, “Artificial Intelligence-Quality Implementation Framework” (AI-QIF), intended to guide decisions and activities related to the implementation of various AI-based applications in health care.

Methods: The paper outlines the development of an AI implementation framework for broad use in health care based on the Quality Implementation Framework (QIF). QIF is a process model developed in implementation science. The model guides the user to consider implementation-related issues in a step-by-step design and plan and perform activities that support implementation. This framework was chosen for its adaptability, usability, broad scope, and detailed guidance concerning important activities and considerations for successful implementation. The development will proceed in 5 phases with primarily qualitative methods being used. The process starts with phase I, in which an AI-adapted version of QIF is created (AI-QIF). Phase II will produce a digital mockup of the AI-QIF. Phase III will involve the development of a prototype of the AI-QIF with an intuitive user interface. Phase IV is dedicated to usability testing of the prototype in health care environments. Phase V will focus on evaluating the usability and effectiveness of the AI-QIF. Cocreation is a guiding principle for the project and is an important aspect in 4 of the 5 development phases. The cocreation process will enable the use of both on research-based and practice-based knowledge.

Results: The project is being conducted within the frame of a larger research program, with the overall objective of developing theoretically and empirically informed frameworks to support AI implementation in routine health care. The program was launched in 2021 and has carried out numerous research activities. The development of AI-QIF as a tool to guide the implementation of AI-based applications in health care will draw on knowledge and experience acquired from these activities. The framework is being developed over 2 years, from January 2023 to December 2024. It is under continuous development and refinement.

Conclusions: The development of the AI implementation framework, AI-QIF, described in this study protocol aims to facilitate the implementation of AI-based applications in health care based on the premise that implementation processes benefit from being well-prepared and structured. The framework will be coproduced to enhance its relevance, validity, usefulness, and potential value for application in practice. © 2023 The Author(s).

Place, publisher, year, edition, pages
Toronto: JMIR Publications, 2023
Keywords
artificial intelligence, AI, health care, implementation, process models, frameworks, framework, process model
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Research subject
Health Innovation, IDC
Identifiers
urn:nbn:se:hh:diva-52291 (URN)10.2196/50216 (DOI)001115572400003 ()37938896 (PubMedID)2-s2.0-85178219393 (Scopus ID)
Funder
Knowledge FoundationVinnova
Available from: 2023-12-22 Created: 2023-12-22 Last updated: 2024-01-17Bibliographically approved
Göransson, C., Larsson, I. & Carlsson, I.-M. (2023). Art of connectedness: Value-creating care for older persons provided with toileting assistance and containment strategies—A critical interpretive synthesis. Journal of Clinical Nursing, 32(9-10), 1806-1820
Open this publication in new window or tab >>Art of connectedness: Value-creating care for older persons provided with toileting assistance and containment strategies—A critical interpretive synthesis
2023 (English)In: Journal of Clinical Nursing, ISSN 0962-1067, E-ISSN 1365-2702, Vol. 32, no 9-10, p. 1806-1820Article in journal (Refereed) Published
Abstract [en]

Aims and objectives

The aim was to conduct a synthesis of the literature on value-creating care for older persons with incontinence provided with toileting assistance and containment strategies, from the perspectives of older persons and healthcare professionals.

Background

Incontinence is a health problem for many persons worldwide and the problem will increase as the global population ages. It can have a profound impact on a person's wellbeing, and assistance with toileting and containment strategies is common in home care settings and nursing homes.

Design

The design was a literature review with an iterative, reflexive and critical approach.

Methods

A critical interpretive synthesis was conducted. Ten papers published between 2011 and 2019 were analysed. The PRISMA -ScR Checklist was used in this review.

Results

Based on the findings, the conceptual construct ‘The art of connectedness’ was developed, built on co-created care, personalised care and reflective care between the older person and healthcare professionals. Co-created care is based on establishing a relationship, building trust and respecting preferences. Personalised care consists of meeting the person's needs, promoting comfort and maintaining self-determination. Reflective care entails showing empathy, upholding the person's dignity and developing professional competence.

Conclusions

Value-creating care consists conceptually of a connectedness that starts with co-creating the care together with the older person in a close relationship. Assistance is given and received based on the older person's individual needs and is highly valued by the older person as it helps them maintain self-determination. Reflective care is of importance for healthcare professionals.

Relevance for practice

The findings are hoped to enhance healthcare professionals’ understanding of how to improve the clinical encounter in nursing when providing assistance. They may also stimulate critical reflection among healthcare professionals on how to improve assistance to meet the older person's values. © 2022 The Authors. 

Place, publisher, year, edition, pages
Chichester: Wiley-Blackwell Publishing Inc., 2023
Keywords
co-created care, connectedness, continence, critical interpretive synthesis, older persons, personalised care, reflective care, relationships, toileting, value
National Category
Nursing
Research subject
Health Innovation, Information driven care
Identifiers
urn:nbn:se:hh:diva-46514 (URN)10.1111/jocn.16216 (DOI)000742861600001 ()35034383 (PubMedID)2-s2.0-85122729577 (Scopus ID)
Funder
Knowledge Foundation
Note

Funding: This study was supported by grants from the Knowledge Foundation, Essity Hygiene and Health AB and Halmstad University, all in Sweden.

Available from: 2022-03-23 Created: 2022-03-23 Last updated: 2023-06-21Bibliographically approved
Larsson, S., Larsson, I. & Mogard, E. (2023). Coping strategies used to manage everyday life in early rheumatoid arthritis – a qualitative study. Paper presented at 39th Scandinavian Congress of Rheumatology, Copenhagen, Denmark, 23-26 August, 2023. Scandinavian Journal of Rheumatology, 52, 86-87
Open this publication in new window or tab >>Coping strategies used to manage everyday life in early rheumatoid arthritis – a qualitative study
2023 (English)In: Scandinavian Journal of Rheumatology, ISSN 0300-9742, E-ISSN 1502-7732, Vol. 52, p. 86-87Article in journal, Meeting abstract (Refereed) Published
Place, publisher, year, edition, pages
Abingdon: Taylor & Francis, 2023
Keywords
Arthritis, coping, patient's perspective, qualitative
National Category
Nursing
Research subject
Health Innovation, IDC; Health Innovation, M4HP
Identifiers
urn:nbn:se:hh:diva-52239 (URN)10.1080/03009742.2023.2233371 (DOI)001078522900066 ()
Conference
39th Scandinavian Congress of Rheumatology, Copenhagen, Denmark, 23-26 August, 2023
Available from: 2023-12-15 Created: 2023-12-15 Last updated: 2023-12-18Bibliographically approved
Petersson, L., Svedberg, P., Nygren, J. M. & Larsson, I. (2023). Developing an ethical model for guidance the implementation of AI in healthcare. In: Nordic Health Promotion Research Conference 2023 Abstracts: . Paper presented at Nordic Health Promotion Research Conference 2023. Halmstad
Open this publication in new window or tab >>Developing an ethical model for guidance the implementation of AI in healthcare
2023 (English)In: Nordic Health Promotion Research Conference 2023 Abstracts, Halmstad, 2023Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Background: Artificial intelligence (AI) is predicted to improve healthcare, increase efficiency, save time andresources. However, research shows an urgent need to develop guidance to ensure that the use of AI in healthcare isethically acceptable.

Purpose: To develop an ethical model to support AI implementation in practice.

Methods: The study used an explorative and empirically driven qualitative design. Individual interviews wereconducted with 18 healthcare professionals from two emergency departments in Sweden where the county council hasdeveloped an AI application to predict the risk for unexpected mortality within 30 days after visiting an emergencydepartment. A deductive analysis based on ethical theory i.e virtue, deontology and consequentialism, was used.

Findings: The developed model shows how the healthcare professionals use ethical reasoning in relation to theimplementation of AI. In relation to virtue ethics, moral considerations in relation to the use of AI were mentioned. Inrelation to deontology, considerations were mentioned on actions performed based on information acquired from thetechnology and adherence to specific duties, roles and responsibilities. In relation to consequentialism, considerationsabout how to provide better resources more rapidly in an equal way and how the technology can be adjusted to eachpatients’ individual needs and preferences in order to support decisions, self-determination, and actions that are in thepatients best interest.

Conclusions: Our findings provide an ethical model demonstrating the relevance of virtue, deontology andconsequentialism when AI are to be implemented in practice.

Place, publisher, year, edition, pages
Halmstad: , 2023
Keywords
Artificial intelligence, ethic, healthcare professionals, implementation, qualitative method
National Category
Social Sciences
Research subject
Health Innovation; Health Innovation, IDC
Identifiers
urn:nbn:se:hh:diva-52342 (URN)
Conference
Nordic Health Promotion Research Conference 2023
Funder
Halmstad University
Available from: 2023-12-28 Created: 2023-12-28 Last updated: 2023-12-28
Petersson, L., Vincent, K., Svedberg, P., Nygren, J. M. & Larsson, I. (2023). Ethical considerations in implementing AI for mortality prediction in the emergency department: Linking theory and practice. Digital Health, 9
Open this publication in new window or tab >>Ethical considerations in implementing AI for mortality prediction in the emergency department: Linking theory and practice
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2023 (English)In: Digital Health, E-ISSN 2055-2076, Vol. 9Article in journal (Refereed) Published
Abstract [en]

Background: Artificial intelligence (AI) is predicted to be a solution for improving healthcare, increasing efficiency, and saving time and recourses. A lack of ethical principles for the use of AI in practice has been highlighted by several stakeholders due to the recent attention given to it. Research has shown an urgent need for more knowledge regarding the ethical implications of AI applications in healthcare. However, fundamental ethical principles may not be sufficient to describe ethical concerns associated with implementing AI applications.

Objective: The aim of this study is twofold, (1) to use the implementation of AI applications to predict patient mortality in emergency departments as a setting to explore healthcare professionals’ perspectives on ethical issues in relation to ethical principles and (2) to develop a model to guide ethical considerations in AI implementation in healthcare based on ethical theory.

Methods: Semi-structured interviews were conducted with 18 participants. The abductive approach used to analyze the empirical data consisted of four steps alternating between inductive and deductive analyses. Results: Our findings provide an ethical model demonstrating the need to address six ethical principles (autonomy, beneficence, non-maleficence, justice, explicability, and professional governance) in relation to ethical theories defined as virtue, deontology, and consequentialism when AI applications are to be implemented in clinical practice.

Conclusions: Ethical aspects of AI applications are broader than the prima facie principles of medical ethics and the principle of explicability. Ethical aspects thus need to be viewed from a broader perspective to cover different situations that healthcare professionals, in general, and physicians, in particular, may face when using AI applications in clinical practice. © The Author(s) 2023.

Place, publisher, year, edition, pages
London: Sage Publications, 2023
Keywords
Artificial intelligence, codes of ethics, emergency department, ethical theory, healthcare, healthcare professionals, implementation, qualitative research
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Research subject
Health Innovation; Health Innovation, IDC
Identifiers
urn:nbn:se:hh:diva-51854 (URN)10.1177/20552076231206588 (DOI)001078896200001 ()37829612 (PubMedID)2-s2.0-85173652948 (Scopus ID)
Funder
Vinnova, 2019-04526Knowledge Foundation, 20200208 01H
Available from: 2023-11-08 Created: 2023-11-08 Last updated: 2023-11-09Bibliographically approved
Petersson, L., Vincent, K., Svedberg, P., Nygren, J. M. & Larsson, I. (2023). Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients: A Qualitative Study. In: Maria Hägglund; Madeleine Blusi; Stefano Bonacina; Lina Nilsson; Inge Cort Madsen; Sylvia Pelayo; Anne Moen; Arriel Benis; Lars Lindsköld; Parisis Gallos (Ed.), Caring is sharing - exploiting the value in data for health and innovation: Proceedings of MIE 2023. Paper presented at 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE 2023, Gothenburg, 22-25 May, 2023 (pp. 676-677). Amsterdam: IOS Press, 302
Open this publication in new window or tab >>Ethical Perspectives on Implementing AI to Predict Mortality Risk in Emergency Department Patients: A Qualitative Study
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2023 (English)In: Caring is sharing - exploiting the value in data for health and innovation: Proceedings of MIE 2023 / [ed] Maria Hägglund; Madeleine Blusi; Stefano Bonacina; Lina Nilsson; Inge Cort Madsen; Sylvia Pelayo; Anne Moen; Arriel Benis; Lars Lindsköld; Parisis Gallos, Amsterdam: IOS Press, 2023, Vol. 302, p. 676-677Conference paper, Published paper (Refereed)
Abstract [en]

Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time and recourses, especially in the context of emergency care where many critical decisions are made. Research shows the urgent need to develop principles and guidance to ensure ethical AI use in healthcare. This study aimed to explore healthcare professionals' perceptions of the ethical aspects of implementing an AI application to predict the mortality risk of patients in emergency departments. The analysis used an abductive qualitative content analysis based on the principles of medical ethics (autonomy, beneficence, non-maleficence, and justice), the principle of explicability, and the new principle of professional governance, that emerged from the analysis. In the analysis, two conflicts and/or considerations emerged tied to each ethical principle elucidating healthcare professionals' perceptions of the ethical aspects of implementing the AI application in emergency departments. The results were related to aspects of sharing information from the AI application, resources versus demands, providing equal care, using AI as a support system, trustworthiness to AI, AI-based knowledge, professional knowledge versus AI-based information, and conflict of interests in the healthcare system. © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2023
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 302
Keywords
AI applications, ethical aspects, healthcare professionals, qualitative study
National Category
Nursing
Research subject
Health Innovation; Health Innovation, IDC
Identifiers
urn:nbn:se:hh:diva-51747 (URN)10.3233/SHTI230234 (DOI)001071432900176 ()37203776 (PubMedID)2-s2.0-85159761458 (Scopus ID)978-1-64368-388-1 (ISBN)978-1-64368-389-8 (ISBN)
Conference
33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE 2023, Gothenburg, 22-25 May, 2023
Available from: 2023-11-17 Created: 2023-11-17 Last updated: 2023-11-20Bibliographically approved
Petersson, L., Svedberg, P., Nygren, J. M. & Larsson, I. (2023). Expected values of implementing AI in healthcare – A Qualitative study. In: Nordic Health Promotion Research Conference 2023: Abstracts. Paper presented at The 10th Nordic Health Promotion Research Conference "Sustainability and the impact on health and well-being", Halmstad, Sweden, 14-16 June, 2023. Halmstad
Open this publication in new window or tab >>Expected values of implementing AI in healthcare – A Qualitative study
2023 (English)In: Nordic Health Promotion Research Conference 2023: Abstracts, Halmstad, 2023Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Background: Artificial intelligence (AI) is often presented as a technology that will change healthcare and be useful inclinical work in disease prediction, diagnosis, and precision health. More knowledge is needed regarding the value of AI applications based on the perspectives of healthcare leaders to understand their roles as gatekeepers and facilitatorsfor successful implementation.

The purpose of the study: To explore healthcare leaders’ perceptions of the value of AI applications in clinical work.

Methods: The study had an explorative qualitative approach. Individual interviews were conducted from October2020 to May 2021 with 26 healthcare leaders with different experiences in implementing AI in clinical practice in acounty council in Sweden. Inductive qualitative content analysis was used, and eight sub-categories and threecategories emerged.

Findings: The value of AI applications in clinical care was described in terms of expected benefits for patients as toolssupporting person-centered information and individualized self-management. The expected benefits for healthcareprofessionals included decision-support in diagnostics, risk assessments, and treatment recommendations but alsoproviding warning systems and second opinions in clinical work. On an organizational level, the benefits comprisedpatient safety and decision-support in prioritizing healthcare resources in and across healthcare organizations.

Conclusions: The healthcare leaders perceived that AI applications would provide value on different levels inhealthcare for patients, healthcare professionals, and organizations. Across these levels, the implementation of AI cansupport person-centeredness, patient self-management, quality of care, patient safety, and resource optimization.

Place, publisher, year, edition, pages
Halmstad: , 2023
Keywords
AI applications, healthcare leaders, qualitative study, value
National Category
Health Sciences
Research subject
Health Innovation; Health Innovation, IDC
Identifiers
urn:nbn:se:hh:diva-52343 (URN)
Conference
The 10th Nordic Health Promotion Research Conference "Sustainability and the impact on health and well-being", Halmstad, Sweden, 14-16 June, 2023
Funder
Halmstad University
Available from: 2023-12-28 Created: 2023-12-28 Last updated: 2024-01-02Bibliographically approved
Wiking, E., Larsson, I., Torell, A., Malm, K., Åberg, I. & Haglund, E. (2023). Experiences of a digital-based high-intensityinterval training (HIIT) intervention inindividuals with axial spondyloarthritis (axSpA). In: : . Paper presented at Reumadagarna, 14-16 september 2023.
Open this publication in new window or tab >>Experiences of a digital-based high-intensityinterval training (HIIT) intervention inindividuals with axial spondyloarthritis (axSpA)
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2023 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Background

Physical exercise is included in the recommended treatment for individuals with axial spondyloarthritis (axSpA), and different forms of aerobic training are known to improve health and cardiorespiratory function. However, little is known about the experiences of digital-based high-intensity interval training (HIIT) in individuals with axSpA.

Objective

The study aims to describe experiences of digital-based high-intensity interval training (HIIT) intervention in individuals with axSpA. 

 

Method

In a randomized control trial (RCT), individuals with axSpA (n=22), were recruited from two rheumatology clinics in southern Sweden, and randomized to a HIIT intervention group or a control group. The intervention group completed a standardized training protocol, including three sessions/week (two HIIT sessions) in self-selected activities for 12 weeks. They were individually coached and had regular support from a physical therapist, primarily through digital support and a fitness watch. 

In this qualitative study, individual interviews were conducted with participants from the intervention group (7 women/5 men) after completing the 12-week intervention. The participants' median age was 47 years (min-max 31-66), aerobic fitness 32 ml O2/kg/min (24-54), self-reported health status (EQ5D) 0.80 (0.73-1) disease activity (BASDAI) 2.4 (0.6-3.3), and physical function (BASFI) 1.1 (0-1.8). Open-ended questions were used: “How have you experienced the HIIT intervention?”, and “How has the HIIT intervention affected you?”. The qualitative content analysis resulted in four categories constituted of 12 sub-categories. 

ResultsThe result revealed that participation in a digital-based HIIT intervention was described as; 1) the digital design creates opportunities for exercise through easy accessibility, time efficiency, and increased self-awareness, 2) the encouragement facilitating exercise by feelings of being cared for, individual coaching, and social support, and 3) the exercise influencing well-being by positive health effects, altered pain, and feelings of self-satisfaction, but also 4) the need to overcome barriers to exercise by facing practical difficulties, effort and motivation, and feelings of uncertainty and failures (Table 1).

 

Conclusion

Individuals with axSpA experienced that the digital-based intervention with HIIT created exercise opportunities. The importance of encouragement in the intervention design, along with the positive effects on well-being, was highlighted. However, the need to overcome difficulties in exercise was emphasized. The findings have to be considered when implementing individually based sustainable rehabilitation containing HIIT.

National Category
Medical and Health Sciences
Research subject
Health Innovation, M4HP
Identifiers
urn:nbn:se:hh:diva-52585 (URN)
Conference
Reumadagarna, 14-16 september 2023
Available from: 2024-02-08 Created: 2024-02-08 Last updated: 2024-02-08
Lönn, M., Aili, K., Svedberg, P., Nygren, J. M., Jarbin, H. & Larsson, I. (2023). Experiences of Using Weighted Blankets among Children with ADHD and Sleeping Difficulties. Occupational Therapy International, 2023, 1-12, Article ID 1945290.
Open this publication in new window or tab >>Experiences of Using Weighted Blankets among Children with ADHD and Sleeping Difficulties
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2023 (English)In: Occupational Therapy International, ISSN 0966-7903, E-ISSN 1557-0703, Vol. 2023, p. 1-12, article id 1945290Article in journal (Refereed) Published
Abstract [en]

Introduction. Sleeping difficulties are common in children with attention deficit hyperactivity disorder (ADHD). A sleep intervention with weighted blankets was designed to increase current understanding of using weighted blankets to target children’s individual needs in connection with sleep and daytime functioning. Aim. To explore how children with ADHD and sleeping difficulties experience the use of weighted blankets. Methods. An explorative qualitative design in which 26 children with ADHD and sleeping difficulties, 6-15 years old, were interviewed about a sleep intervention with weighted blankets. Four categories emerged from qualitative content analysis. Results. Children’s experiences revealed that the use of weighted blankets 1) requires a commitment, by adjusting according to needs and preferences and adapting to the environment; 2) improves emotional regulation by feeling calm and feeling safe; 3) changes sleeping patterns by creating new routines for sleep and improving sleep quality; and 4) promotes everyday participation by promoting daily function and balancing activity and sleep. Conclusions. Using weighted blankets promoted children’s management of daily life with ADHD and sleeping difficulties. Occupational therapists can improve the assessment and delivery of weighted blankets tailored to individual needs based on increased knowledge from the children themselves. Copyright © 2023 Maria Lönn et al.

Place, publisher, year, edition, pages
Oxford: John Wiley & Sons, 2023
National Category
Psychiatry
Identifiers
urn:nbn:se:hh:diva-50117 (URN)10.1155/2023/1945290 (DOI)000938743200001 ()36824380 (PubMedID)2-s2.0-85148774514 (Scopus ID)
Available from: 2023-03-27 Created: 2023-03-27 Last updated: 2023-03-27Bibliographically approved
Projects
Evaluation of health effects and cost effectiveness from a sleep intervention with weight blankets in children with ADHD and sleep problems [2021-00664_Forte]; Halmstad University; Publications
Lönn, M., Svedberg, P., Nygren, J. M., Jarbin, H., Aili, K. & Larsson, I. (2023). The efficacy of weighted blankets for sleep in children with attention-deficit/hyperactivity disorder—A randomized controlled crossover trial. Journal of Sleep Research, Article ID e13990. Harris, U., Svedberg, P., Aili, K., Nygren, J. M. & Larsson, I. (2022). Parents’ Experiences of Direct and Indirect Implications of Sleep Quality on the Health of Children with ADHD: A Qualitative Study. International Journal of Environmental Research and Public Health, 19(22), Article ID 15099.
Implementing Artificial Intelligence (AI): Exploring how AI changes information and knowledge practices in healthcare [2022-05406_VR]; Halmstad University; Publications
Petersson, L., Steerling, E., Neher, M., Larsson, I., Nygren, J. M., Svedberg, P. & Nilsen, P. (2023). Implementering av artificiell intelligens (AI): Ett projekt om hur AI förändrar information och kunskapspraktiker i hälso- och sjukvården. In: : . Paper presented at FALF 2023 - Forum för arbetslivsforskning. Apeloig, A. (2023). Stakeholders’ perceptions on potential barriers and facilitators of implementing technology based on Artificial Intelligence for predicting and preventing mental illness among young adults: – a qualitative study applying the NASSS framework. (Student paper). Högskolan i Halmstad
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-4341-660X

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