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Objective: To develop an expert-informed (including end users) recovery goal menu for adults recovering from critical illness applicable to the community/home setting.
Research Methodology/design: Stage 1 Item generation: iterative development of domains, sub-domains, and goals in consultation with former intensive care patients, family members and expert clinicians. Stage 2 Content validity assessment: cognitive interviews and the content validity index.
Setting: Virtual consultation meetings facilitated by the research team at King's College London and Guy's and St Thomas' NHS Foundation Trust.
Main Outcome Measures: Content validity as assessed by: the Item-Content Validity Index (I-CVI), Scale Level-Content Validity Index/Universal Agreement (S-CVI/UA) score, the Scale Level-Content Validity Index/Average (S-CVI/Ave) score and Average Content Validity Ratio (CVR).
Results: Item generation resulted in a goal menu comprising 4 domains, 22 sub-domains and 95 goals assigned as follows: Self-care: 9 sub-domains with 37 goals, Productivity: 7 sub-domains with 13 goals, Leisure: 3 sub-domains with 25 goals, and Person domain 3 sub-domains with 20 goals. Cognitive interviews resulted in addition of 79 goals and modification of 7, addition of 4 new sub-domains and modification of 4, thus resulting in 4 domains, 26 sub-domains with a total of 174 goals. Twenty-four sub-domains (169 goals) were deemed relevant with Item-Content Validity Index (I-CVI) scores ranging from 0.72 to 1. Two sub-domains (5 goals) did not meet the 0.7 cut-off and were removed. The Scale Level-Content Validity Index/Universal Agreement (S-CVI/UA) score was 0.46; the Scale Level-Content Validity Index/Average (S-CVI/Ave) 0.91. Average Content Validity Ratio (CVR) was 0.93.
Conclusion: An expert informed recovery goal menu for former intensive care patients has been developed with excellent content validity. The final goal menu comprises 169 goals within 24 sub-domains grouped under 4 domains.
Implications For Clinical Practice: This menu will help patients to set goals and increase our understanding of how individuals recover from critical illness.
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http://dx.doi.org/10.1016/j.iccn.2023.103482 | DOI Listing |
AMIA Jt Summits Transl Sci Proc
June 2025
University of Texas Medical Branch, Galveston, Texas.
We developed a simulated process to show a software implementation to facilitate an approach to integrate the Informed Consent Ontology, a reference ontology of informed consent information, to express implicit description and implement conceptual permission from informed consent life cycle. An early study introduced an experimental method to use Semantic Web Rule Language (SWRL) to describe and represent permissions to computational deduce more information from the Informed Consent Ontology (ICO), demonstrated by the use of the All of Us informed consent documents. We show how incomplete information in informed consent documents can be elucidated using a computational model of permissions toward health information technology that integrates ontologies.
View Article and Find Full Text PDFNeurorehabil Neural Repair
August 2025
Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, Teaching Affiliate of Harvard Medical School, Charlestown, MA, USA.
. A single nucleotide polymorphism (SNP) in the catechol-o-methyltransferase () gene, Val158Met (rs4680), influences cognition in the general population. However, its role in stroke recovery is unclear.
View Article and Find Full Text PDFWe developed a simulated process to show a software implementation to facilitate an approach to integrate the Informed Consent Ontology, a reference ontology of informed consent information, to express implicit description and implement conceptual permission from informed consent life cycle. An early study introduced an experimental method to use Semantic Web Rule Language (SWRL) to describe and represent permissions to computational deduce more information from the Informed Consent Ontology (ICO), demonstrated by the use of the All of Us informed consent documents. We show how incomplete information in informed consent documents can be elucidated using a computational model of permissions toward health information technology that integrates ontologies.
View Article and Find Full Text PDFBMC Prim Care
February 2025
Tabriz Health Services Management Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Background: In response to the significant increase in the global aging population, countries have increasingly prioritized Age-Friendly Primary Health Care (AFPHC) to address the unique needs of older adults. This study aims to develop a comprehensive model for assessing the progress of PHC systems in achieving the goals of an elderly-centered services.
Method: A qualitative study design was utilized to develop the progress assessment model for AFPHC initiatives.
One Health
June 2024
Curtin School of Population Health, Curtin University, 400 Kent St, Bentley, Perth, Western Australia 6102, Australia.
The international authorities, such as the Food and Agriculture Organization of the United Nations, World Health Organization, World Organization for Animal Health, United Nations Environment Programme, and World Bank, have endorsed the One Health concept as an effective approach to optimize the health of people, animals, and the environment. The One Health concept is considered as an integrated and unifying approach with the objective of sustainably balancing and optimizing the health of people, animals, and ecosystems. Despite variations in its definitions, the underlying principle remains consistent - recognizing the interconnected and interdependent health of humans, animals, and the environment, necessitating interdisciplinary collaboration to optimize health outcomes.
View Article and Find Full Text PDF