Purpose: Breast cancer follow-up (surveillance and aftercare) varies from one-size-fits-all to more personalised approaches. A systematic review was performed to get insight in existing evidence on (cost-)efectiveness of personalised follow-up. Methods: PubMed, Scopus and Cochrane were searched between 01–01-2010 and 10–10-2022 (review registered in PROSPERO:CRD42022375770). The inclusion population comprised nonmetastatic breast cancer patients≥18 years, after completing curative treatment. All intervention-control studies studying personalised surveillance and/or aftercare designed for use during the entire follow-up period were included. All review processes including risk of bias assessment were performed by two reviewers. Characteristics of included studies were described. Results: Overall, 3708 publications were identifed, 64 full-text publications were read and 16 were included for data extraction. One study evaluated personalised surveillance. Various personalised aftercare interventions and outcomes were studied. Most common elements included in personalised aftercare plans were treatment summaries (75%), follow-up guidelines (56%), lists of available supportive care resources (38%) and PROs (25%). Control conditions mostly comprised usual care. Four out of seven (57%) studies reported improvements in quality of life following personalisation. Six studies (38%) found no personalisation efect, for multiple outcomes assessed (e.g. distress, satisfaction). One (6.3%) study was judged as low, four (25%) as high risk of bias and 11 (68.8%) as with concerns. Conclusion: The included studies varied in interventions, measurement instruments and outcomes, making it impossible to draw conclusions on the efectiveness of personalised follow-up. There is a need for a definition of both personalised surveillance and aftercare, whereafter outcomes can be measured according to uniform standards.
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Patients with coronary artery disease (CAD) are more sedentary compared with the general population, but contemporary cardiac rehabilitation (CR) programmes do not specifically target sedentary behaviour (SB). We developed a 12-week, hybrid (centre-based+home-based) Sedentary behaviour IntervenTion as a personaLisEd Secondary prevention Strategy (SIT LESS). The SIT LESS programme is tailored to the needs of patients with CAD, using evidence-based behavioural change methods and an activity tracker connected to an online dashboard to enable self-monitoring and remote coaching. Following the intervention mapping principles, we first identified determinants of SB from literature to adapt theory-based methods and practical applications to target SB and then evaluated the intervention in advisory board meetings with patients and nurse specialists. This resulted in four core components of SIT LESS: (1) patient education, (2) goal setting, (3) motivational interviewing with coping planning, and (4) (tele)monitoring using a pocket-worn activity tracker connected to a smartphone application and providing vibrotactile feedback after prolonged sedentary bouts. We hypothesise that adding SIT LESS to contemporary CR will reduce SB in patients with CAD to a greater extent compared with usual care. Therefore, 212 patients with CAD will be recruited from two Dutch hospitals and randomised to CR (control) or CR+SIT LESS (intervention). Patients will be assessed prior to, immediately after and 3 months after CR. The primary comparison relates to the pre-CR versus post-CR difference in SB (objectively assessed in min/day) between the control and intervention groups. Secondary outcomes include between-group differences in SB characteristics (eg, number of sedentary bouts); change in SB 3 months after CR; changes in light-intensity and moderate-to-vigorous-intensity physical activity; quality of life; and patients’ competencies for self-management. Outcomes of the SIT LESS randomised clinical trial will provide novel insight into the effectiveness of a structured, hybrid and personalised behaviour change intervention to attenuate SB in patients with CAD participating in CR.
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Given the growing number of older people, society as a whole should ideally provide a higher quality of life (QoL) for its ageing citizens through the concept of personalised ageing. Information and communication technologies (ICT) are subject to constant and rapid development, and can contribute to the goal of an improved QoL for older adults. In order to utilise future ICT solutions as a part of an age-friendly smart environment that helps achieve personalised ageing with an increased QoL, one must first determine whether the existing ICT solutions are satisfying the needs of older people. In order to accomplish that, this study contributes in three ways. First, it proposes a framework for the QoL of older adults, in order to provide a systematic review of the state-of-the-art literature and patents in this field. The second contribution is the finding that selected ICT solutions covered by articles and patents are intended for older adults and are validated by them. The third contribution of the study are the six recommendations that are derived from the review of the literature and the patents which would help move the agenda concerning the QoL of older people and personalised ageing with the use of ICT solutions forward. Original article at MDPI; DOI: http://dx.doi.org/10.3390/ijerph17082940 (This article belongs to the Special Issue Feature Papers "Age-Friendly Cities & Communities: State of the Art and Future Perspectives")
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eHealth education should be integrated into vocational training and continuous professional development programmes. In this opinion article, we aim to support organisers of Continuing Professional Development (CPD) and teachers delivering medical vocational training by providing recommendations for eHealth education. First, we describe what is required to help primary care professionals and trainees learn about eHealth. Second, we elaborate on how eHealth education might be provided
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The aim of the research reported in this thesis was to gain knowledge about the implementation of evidence‐based practice (EBP) in nursing to find a way to integrate shared decision making (SDM) with EBP in a chronic care environment in nursing, and to develop a strategy for an integrated approach of EBP and SDM in daily nursing practice in the individual aftercare for cancer survivors.
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Background A high sedentary time is associated with increased mortality risk. Previous studies indicate that replacement of sedentary time with light- and moderate-to-vigorous physical activity attenuates the risk for adverse outcomes and improves cardiovascular risk factors. Patients with cardiovascular disease are more sedentary compared to the general population, while daily time spent sedentary remains high following contemporary cardiac rehabilitation programmes. This clinical trial investigated the effectiveness of a sedentary behaviour intervention as a personalised secondary prevention strategy (SIT LESS) on changes in sedentary time among patients with coronary artery disease participating in cardiac rehabilitation. Methods Patients were randomised to usual care (n = 104) or SIT LESS (n = 108). Both groups received a comprehensive 12-week centre-based cardiac rehabilitation programme with face-to-face consultations and supervised exercise sessions, whereas SIT LESS participants additionally received a 12-week, nurse-delivered, hybrid behaviour change intervention in combination with a pocket-worn activity tracker connected to a smartphone application to continuously monitor sedentary time. Primary outcome was the change in device-based sedentary time between pre- to post-rehabilitation. Changes in sedentary time characteristics (prevalence of prolonged sedentary bouts and proportion of patients with sedentary time ≥ 9.5 h/day); time spent in light-intensity and moderate-to-vigorous physical activity; step count; quality of life; competencies for self-management; and cardiovascular risk score were assessed as secondary outcomes. Results Patients (77% male) were 63 ± 10 years and primarily diagnosed with myocardial infarction (78%). Sedentary time decreased in SIT LESS (− 1.6 [− 2.1 to − 1.1] hours/day) and controls (− 1.2 [ ─1.7 to − 0.8]), but between group differences did not reach statistical significance (─0.4 [─1.0 to 0.3]) hours/day). The post-rehabilitation proportion of patients with a sedentary time above the upper limit of normal (≥ 9.5 h/day) was significantly lower in SIT LESS versus controls (48% versus 72%, baseline-adjusted odds-ratio 0.4 (0.2–0.8)). No differences were observed in the other predefined secondary outcomes. Conclusions Among patients with coronary artery disease participating in cardiac rehabilitation, SIT LESS did not induce significantly greater reductions in sedentary time compared to controls, but delivery was feasible and a reduced odds of a sedentary time ≥ 9.5 h/day was observed.
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Background: To prevent deterioration after admission to the intensive care unit (ICU), and to improve rehabilitation, the ICU team should use digital technologies to provide comprehensive and practical information alongside personalised support for survivors and their family members. However, a knowledge gap exists on the users’ preferences for such an e-health platform in ICU follow-up services. Objectives: This study aims to explore the opinions and priorities for an e-health platform, including choices in digital elements, according to survivors of critical illness and their family members. Methods: A cross-sectional survey was used among members and other interested individuals of the Dutch volunteer organisation ‘Foundation Family- and Patient-Centred Intensive Care’. An investigator-developed questionnaire was disseminated through the newsletter and social media channels of the Foundation Family- and Patient-Centred Intensive Care. The results of this member consultation were analysed and reported as descriptive statistics on demographic variables and outcome measures in opinions and priorities of the participants. Results: Most of the 227 participants were female (76%), aged 46–55 years (33%), and completed higher education (70%). The participants reported high confidence in advice delivered through an e-health platform (72%). They prioritised the provision of a guide including relevant professionals who may support them during their recovery when using an e-health platform. Conclusions: ICU survivors prioritised the provision of relevant professionals who may support them during their recovery when using an e-health platform; however, selection bias means the population studied is likely to be more digitally connected than the general ICU population. Digital solutions could cater to their information and support needs. For family members, the highest priority reported was receiving help in managing their emotional distress. The development of an e-health platform considering the opinions and priorities of this target group could contribute to a personalised recovery trajectory promoting self-management while including digital elements addressing relevant ICU follow-up services.
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Health and social well-being depend on many contextual facets which are interdependent in a complex way and are all but limited to the field of cure and care. Publications of the World Health Organization and the Dutch Ministry of Health show that good health also depends on socioeconomic aspects such as stable living conditions and (pre-emptive) debt counselling. Inspired by these findings, many programs have been launched that aim for an integrated approach of health and social issues. Although these programs enjoy a lot of sympathy, the implementation proves to be difficult. Among many obstacles, more than once the financing of the program is a stumbling block. The hesitation to invest is prompted by the uncertainties of the benefits these programs aim at. These uncertainties relate to both size and distribution. The intended results are mostly long term and not always easy to monetize. Moreover, the benefits may distribute among other stakeholders than those who bore the costs of the program, the so-called ‘wrong pocket problem’. To overcome the hesitation to invest, a social cost-benefit analysis offers a remedy. Social Cost-Benefit Analysis (SCBA): A SCBA assesses the impact of an investment on society by estimating all relevant costs and revenues – both financial and non-financial – and their (re)distributions amongst stakeholders. From this perspective, this type of analysis is an important contribution to policy development. Publications of public planning and research agencies in the Netherlands underline the contribution of SCBA’s to policymaking in the field of public health and social welfare.
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This research examines the legal capabilities of social care practitioners involved in a new decision-making process, ‘the kitchen table conversation’, used since the introduction of the 2015 Social Support Act in the Netherlands. This law delegates social care allocation to the local authorities, who employ social care practitioners to assess and decide upon the needs of applicants for personalised services. Dit onderzoek focust op de juridische competenties van sociale professionals die betrokken zijn bij het ‘keukentafelgesprek’, een manier van werken die is geïntroduceerd met de transities in het sociaal domein. Sinds de implementatie van de Wet maatschappelijke ondersteuning (Wmo 2015) zijn Nederlandse gemeenten verplicht onderzoek te doen naar de persoonlijke situatie van mensen die zich melden met een ondersteuningsvraag. De wet delegeert de toekenning van maatschappelijke zorg aan de lokale overheden, die sociale professionals inzetten om de behoeften aan maatschappelijke ondersteuning van cliënten te onderzoeken.
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