Artikel van Judith Huis in het Veld, docent onderzoeker van de Hogeschool Inholland verschenen in Research in Gerontological Nursing ABSTRACT The current article discusses how and by whom family caregivers want to be supported in selfmanagement when managing changes in behavior and mood of relatives with dementia and whether family caregivers consider eHealth a useful tool for self-management support. Four asynchronous online focus groups were held with 32 family caregivers of individuals with dementia. Transcripts of the online focus groups were analyzed using qualitative thematic analysis. Family caregivers need support from professionals or peers in the form of (a) information about dementia and its symptoms, (b) tips and advice on managing changes in behavior and mood, (c) opportunities to discuss experiences and feelings, and (d) appreciation and acknowledgement of caregiving. The opinions of family caregivers about self-management support through eHealth were also reported. Findings suggest a personal approach is essential to self-management support for family caregivers managing changes in behavior and mood of relatives with dementia. In addition, self-management support can be provided to some extent through eHealth, but this medium cannot replace personal contacts entirely.
Purpose: As recovery time after oncological surgery can be long, family caregivers often play an important role in the delivery of care after patients’ discharge. To prepare carers for this role, we developed a family involvement program (FIP) to enhance their active involvement in post-surgical oncology care during hospitalization. The purpose of this qualitative study was to explore family caregivers experience of participating in a FIP. Methods: We conducted semi-structured interviews with 12 family caregivers who participated in the family involvement program. The program is comprised of two main components (1) training and coaching of physicians and nurses; (2) active involvement of family caregivers in fundamental care activities. This active involvement included six activities. Data were analyzed using interpretative phenomenological analysis. Results: Family caregivers positively valued the program. Active participation in post-surgical care was experienced as an acceptable burden. The program gave participants the ability to simply be present (‘being there’) which was considered as essential and improved their understanding of care, although family caregivers sometimes experienced emotional moments. Active involvement strengthened existent relationship between the family caregiver and the patient. Participants thought clinical supervision. by nurses is important. Conclusions: Physical proximity appeared as an essential part of the family involvement program. It helped carers to feel they made a meaningful contribution to their loved ones’ wellbeing. Asking families to participate in fundamental care activities in post-surgical oncology care was acceptable, and not over-demanding for caregivers.
Background: Online contacts with a health professional have the potential to support family caregivers of people with dementia. Objective: The goal of the research was to study the effects of an online self-management support intervention in helping family caregivers deal with behavior changes of a relative with dementia. The intervention—involving among others personal email contacts with a dementia nurse—was compared with online interventions without these email contacts. Methods: A randomized controlled trial was conducted with 81 family caregivers of people with dementia who live at home. Participants were randomly assigned to a (1) major self-management support intervention consisting of personal email contacts with a specialist dementia nurse, online videos, and e-bulletins; (2) medium intervention consisting only of online videos and e-bulletins; or (3) minor intervention consisting of only the e-bulletins. The primary outcome was family caregivers’ self-efficacy in dealing with behavior changes of the relative with dementia. Secondary outcomes were family caregivers’ reports of behavior problems in the people with dementia and the quality of the relationship between the family caregiver and the person with dementia. Measurements were performed at the baseline and at 6 (T1) and 12 weeks (T2) after the baseline. A mixed-model analysis was conducted to compare the outcomes of the 3 intervention arms. Results: Family caregivers participating in the major intervention involving email contacts showed no statistically significant differences in self-efficacy after the intervention compared with the minor intervention involving only e-bulletins (difference –0.02, P=.99). In the adjusted analysis, the medium intervention (involving videos and e-bulletins) showed a negative trend over http://www.jmir.org/2020/2/e13001/ J Med Internet Res 2020 | vol. 22 | iss. 2 | e13001 | p. 1 (page number not for citation purposes) JOURNAL OF MEDICAL INTERNET RESEARCH Huis in het Veld et al XSL•FO RenderX time (difference –4.21, P=.09) and at T1 (difference –4.71, P=.07) compared with the minor intervention involving only e-bulletins. No statistical differences were found between the intervention arms in terms of the reported behavior problems and the quality of the relationship between the family caregiver and the person with dementia. Conclusions: The expectation that an online self-management support intervention involving email contacts would lead to positive effects and be more effective than online interventions without personal email contacts was not borne out. One explanation might be related to the fact that not all family caregivers who were assigned to that intervention actually made use of the opportunity for personal email contact. The online videos were also not always viewed. To obtain more definite conclusions, future research involving extra efforts to reach higher use rates is required.
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Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).
