BackgroundRelocations within and between nursing homes often induce stress, anxiety, and depression in residents and cause additional workload for and burnout in staff. To prevent this, many... Show moreBackgroundRelocations within and between nursing homes often induce stress, anxiety, and depression in residents and cause additional workload for and burnout in staff. To prevent this, many nursing homes deploy pre-transition initiatives, bridging initiatives, and post-transition initiatives to support residents and staff during the relocation process. As little is known about these initiatives, this study aims to explore the pre-relocation, bridging and post-relocation initiatives used for relocations within and between nursing homes.MethodsIn seven Dutch nursing homes, eight focus groups were conducted with two to six participants (N = 37) who were actively involved in relocation processes in different roles (i.e., managers, healthcare professionals, support staff, client council members, residents and family). The focus groups were conducted based on a predefined topic list and lasted approximately 60 min. The transcripts were recorded, transcribed verbatim and analysed using thematic coding.ResultsNursing homes had to be inventive in developing relocation initiatives as neither shared guidelines nor knowledge exchange on this topic were available. A total of thirty-seven relocation initiatives were identified in these seven nursing homes. Nineteen pre-relocation initiatives were identified, of which eight emphasized information and engagement, three highlighted training and practice and eight stressed orientation and visualization. Seven bridging initiatives were identified, of which four emphasized coordination and continuity and three highlighted entertainment and celebration. Eleven post-relocation initiatives were identified, of which seven emphasized evaluation and troubleshooting and four highlighted change and adjustment.ConclusionThe identified relocation initiatives were developed unassisted by nursing homes, due to a lack of shared guidelines, knowledge exchange and mutual learning on this topic. Therefore, it may be expedient and more effective to develop general guidelines for relocations within and between nursing homes in collaboration with nursing homes. Show less
Zonneveld, M.H.; Trompet, S.; Jukema, J.W.; Noordam, R. 2023
Prospective cohort studies have implied associations between blood levels of troponin T, troponin I, NT-proBNP, GDF15, dementia, and cognitive function, without providing evidence favoring... Show moreProspective cohort studies have implied associations between blood levels of troponin T, troponin I, NT-proBNP, GDF15, dementia, and cognitive function, without providing evidence favoring possible causality. We aimed to assess the causal associations of these cardiac blood biomarkers with dementia and cognition using two-sample Mendelian randomization (MR). Independent genetic instruments (p < 5e−7) for troponin T and I, N-terminal pro B-type natriuretic peptide (NT-proBNP) and growth-differentiation factor 15 (GDF15) were obtained from previously-performed genome-wide association studies of predominantly European ancestry. Summary statistics for gene-outcome associations in European-ancestry participants, for the two-sample MR analyses, were obtained for general cognitive performance (n = 257,842) and dementia (n = 111,326 clinically diagnosed and “proxy” AD cases, and 677,663 controls). Two-sample MR analyses were performed using inverse variance-weighted (IWV) analyses. Sensitivity analyses to evaluate horizontal pleiotropy included weighted median estimator, MR-Egger, and MR using cis-SNPs only. Using IVW, we did not find evidence for possible causal associations between genetically influenced cardiac biomarkers with cognition and dementia. For example, per standard deviation (SD) higher cardiac blood biomarker, the odds ratio for risk of dementia was 1.06 (95%CI 0.90; 1.21) for troponin T, 0.98 (95%CI 0.72; 1.23) for troponin I, 0.97 (95%CI 0.90; 1.06) for NT-proBNP and 1.07 (95%CI 0.93; 1.21) for GDF15. Sensitivity analyses showed higher GDF15 was significantly associated with higher dementia risk and worse cognitive function. We did not find strong evidence that cardiac biomarkers causally influence dementia risk. Future research should aim at elucidating the biological pathways through which cardiac blood biomarkers associate with dementia. Show less
Wang, L.P.; Pronk, A.C.; Poelgeest, E.P. van; Briggs, R.; Claassen, J.A.H.R.; Jansen, S.; ... ; Velde, N. van der 2023
Orthostatic hypotension (OH) is an established and common cardiovascular risk factor for falls. An in-depth understanding of the various interacting pathophysiological pathways contributing to OH... Show moreOrthostatic hypotension (OH) is an established and common cardiovascular risk factor for falls. An in-depth understanding of the various interacting pathophysiological pathways contributing to OH-related falls is essential to guide improvements in diagnostic and treatment opportunities. We applied systems thinking to multidisciplinary map out causal mechanisms and risk factors. For this, we used group model building (GMB) to develop a causal loop diagram (CLD). The GMB was based on the input of experts from multiple domains related to OH and falls and all proposed mechanisms were supported by scientific literature. Our CLD is a conceptual representation of factors involved in OH-related falls, and their interrelatedness. Network analysis and feedback loops were applied to analyze and interpret the CLD, and quantitatively summarize the function and relative importance of the variables. Our CLD contains 50 variables distributed over three intrinsic domains (cerebral, cardiovascular, and musculoskeletal), and an extrinsic domain (e.g., medications). Between the variables, 181 connections and 65 feedback loops were identified. Decreased cerebral blood flow, low blood pressure, impaired baroreflex activity, and physical inactivity were identified as key factors involved in OH-related falls, based on their high centralities. Our CLD reflects the multifactorial pathophysiology of OH-related falls. It enables us to identify key elements, suggesting their potential for new diagnostic and treatment approaches in fall prevention. The interactive online CLD renders it suitable for both research and educational purposes and this CLD is the first step in the development of a computational model for simulating the effects of risk factors on falls. Show less
