ABSTRACT Objective: To examine the associations between individual chronic diseases and multidimensional frailty comprising physical, psychological, and social frailty. Methods: Dutch individuals (N = 47,768) age ≥ 65 years completed a general health questionnaire sent by the Public Health Services (response rate of 58.5 %), including data concerning self-reported chronic diseases, multidimensional frailty, and sociodemographic characteristics. Multidimensional frailty was assessed with the Tilburg Frailty Indicator (TFI). Total frailty and each frailty domain were regressed onto background characteristics and the six most prevalent chronic diseases: diabetes mellitus, cancer, hypertension, arthrosis, urinary incontinence, and severe back disorder. Multimorbidity was defined as the presence of combinations of these six diseases. Results: The six chronic diseases had medium and strong associations with total ((f2 = 0.122) and physical frailty (f2 = 0.170), respectively, and weak associations with psychological (f2 = 0.023) and social frailty (f2 = 0.008). The effects of the six diseases on the frailty variables differed strongly across diseases, with urinary incontinence and severe back disorder impairing frailty most. No synergetic effects were found; the effects of a disease on frailty did not get noteworthy stronger in the presence of another disease. Conclusions: Chronic diseases, in particular urinary incontinence and severe back disorder, were associated with frailty. We thus recommend assigning different weights to individual chronic diseases in a measure of multimorbidity that aims to examine effects of multimorbidity on multidimensional frailty. Because there were no synergetic effects of chronic diseases, the measure does not need to include interactions between diseases.
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In deze literatuurstudie werden vier databanken doorzocht met behulp van trefwoorden zoals chronic disease, e-health, factors en suggested interventions. Kwalitatieve, kwantitatieve en mixed methods-studies werden meegenomen. Uit de data van de 22 artikelen die werden geïncludeerd in de studie, blijken leeftijd, geslacht, inkomen, opleidingsniveau, etnische achtergrond en woonplaats (stad of platteland) in meer of mindere mate van invloed te zijn op het gebruik van e-health. Het artikel is een Nederlandstalige samenvatting van het artikel: Reiners, Sturm, Bouw & Wouters (2019) uit Int J Environ Res Public Health 2019;16(4)
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Purpose: The aim of this study was to investigate the occupational well-being among employees with chronic diseases, and the buffering effect of four job resources, possibly offering targets to enhance occupational well-being.Method: This cross-sectional study (N = 1951) was carried out among employees in educational and (semi-)governmental organizations in the Netherlands. The dimensions of the survey were chronic diseases (i.e., physical, mental, or both physical and mental), occupational well-being (i.e., work ability, burnout complaints, and work engagement), and job resources (i.e., autonomy, social support by colleagues, supportive leadership style, and open and communicative culture). First, it was analyzed if chronic diseases were associated with occupational well-being. Second, it was analyzed if each of the four job resources would predict better occupational well-being. Third, possible moderation effects between the chronic disease groups and each job resource on occupational well-being were examined. Regression analyses were used, controlling for age.Results: Each chronic disease group was associated with a lower work ability. However, higher burnout complaints and a lower work engagement were only predicted by the group with mental chronic diseases and by the group with both physical and mental chronic disease(s). Furthermore, all four job resources predicted lower burnout complaints and higher work engagement, while higher work ability was only predicted by autonomy and a supportive leadership style. Some moderation effects were observed. Autonomy buffered the negative relationship between the chronic disease groups with mental conditions (with or without physical conditions) and work ability, and the positive relationship between the group with both physical and mental chronic disease(s) and burnout complaints. Furthermore, a supportive leadership style is of less benefit for occupational well-being among the employees with mental chronic diseases (with or without physical chronic diseases) compared to the group employees without chronic diseases. No buffering was demonstrated for social support of colleagues and an open and communicative organizational culture.Conclusion: Autonomy offers opportunities to reinforce occupational well-being among employees with mental chronic diseases. A supportive leadership style needs more investigation to clarify why this job resource is less beneficial for employees with mental chronic diseases than for the employees without chronic diseases.
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Alongside the growing number of older persons, the prevalence of chronic diseases is increasing, leading to higher pressure on health care services. eHealth is considered a solution for better and more efficient health care. However, not every patient is able to use eHealth, for several reasons. This study aims to provide an overview of: (1) sociodemographic factors that influence the use of eHealth; and (2) suggest directions for interventions that will improve the use of eHealth in patients with chronic disease. A structured literature review of PubMed, ScienceDirect, Association for Computing Machinery Digital Library (ACMDL), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) was conducted using four sets of keywords: “chronic disease”, “eHealth”, “factors”, and “suggested interventions”. Qualitative, quantitative, and mixed-method studies were included. Four researchers each assessed quality and extracted data. Twenty-two out of 1639 articles were included. Higher age and lower income, lower education, living alone, and living in rural areas were found to be associated with lower eHealth use. Ethnicity revealed mixed outcomes. Suggested solutions were personalized support, social support, use of different types of Internet devices to deliver eHealth, and involvement of patients in the development of eHealth interventions. It is concluded that eHealth is least used by persons who need it most. Tailored delivery of eHealth is recommended
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Chronic diseases represent a significant burden for the society and health systems; addressing this burden is a key goal of the European Union policy. Health and other professionals are expected to deliver behaviour change support to persons with chronic disease. A skill gap in behaviour change support has been identified, and there is room for improvement. Train4Health is a strategic partnership involving seven European Institutions in five countries, which seeks to improve behaviour change support competencies for the self-management of chronic disease. The project envisages a continuum in behaviour change support education, in which an interprofessional competency framework, relevant for those currently practising, guides the development of a learning outcomes-based curriculum and an educational package for future professionals (today’s undergraduate students).
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Background: Effective telemonitoring is possible through repetitive collection of electronic patient-reported outcome measures (ePROMs) in patients with chronic diseases. Low adherence to telemonitoring may have a negative impact on the effectiveness, but it is unknown which factors are associated with adherence to telemonitoring by ePROMs. The objective was to identify factors associated with adherence to telemonitoring by ePROMs in patients with chronic diseases. Methods: A systematic literature search was conducted in PubMed, Embase, PsycINFO and the Cochrane Library up to 8 June 2021. Eligibility criteria were: (1) interventional and cohort studies, (2) patients with a chronic disease, (3) repetitive ePROMs being used for telemonitoring, and (4) the study quantitatively investigating factors associated with adherence to telemonitoring by ePROMs. The Cochrane risk of bias tool and the risk of bias in nonrandomized studies of interventions were used to assess the risk of bias. An evidence synthesis was performed assigning to the results a strong, moderate, weak, inconclusive or an inconsistent level of evidence. Results: Five studies were included, one randomized controlled trial, two prospective uncontrolled studies and two retrospective cohort studies. A total of 15 factors potentially associated with adherence to telemonitoring by ePROMs were identified in the predominate studies of low quality. We found moderate-level evidence that sex is not associated with adherence. Some studies showed associations of the remaining factors with adherence, but the overall results were inconsistent or inconclusive. Conclusions: None of the 15 studied factors had conclusive evidence to be associated with adherence. Sex was, with moderate strength, not associated with adherence. The results were conflicting or indecisive, mainly due to the low number and low quality of studies. To optimize adherence to telemonitoring with ePROMs, mixed-method studies are needed.
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Background: Caregiving by family members of elderly with chronic conditions is currently intensifying in the context of an aging population and health care reform in the Netherlands. It is essential that nurses have attention for supporting roles of family caregivers of older patients and address family caregiving aspects on behalf of the continuity of care. This study aims to explore what aspects of family caregiving were addressed during planned discussions between nurses, patients and family caregivers in the hospital.Methods: Qualitative descriptive research was conducted using non-participant observation and audio-recordings of planned discussions between nurses, older patients and their family caregivers as they took place in the hospital.Through purposive sampling eligible patients (≥ 65 years) with one or more chronic conditions were included. These patients were admitted to the hospital for diagnostics or due to consequences of their chronic illness.Retrospective chart review was done to obtain patient characteristics. Data were collected in November/December 2013 and April/May 2014 in four hospitals. Qualitative content analysis was performed using the inductive approachin order to gain insight into addressed aspects of family caregiving.Results: A total of 62 patients (mean age (SD) 76 years (7.2), 52% male) were included in the study, resulting in 146 planned discussions (62 admission and discharge discussions and 22 family meetings). Three themes were identifiedregarding addressed aspects of family caregiving. Two themes referred to aspects addressing the patients’ social network, and included ‘social network structure’ and ‘social network support’. One theme referred to aspectsaddressing coordination of care issues involving family caregiving, referred to as ‘coordination of care’.Conclusions: During discussions nurses mostly addressed practical information on the patients’ social network structure. When specific family caregiving support was addressed, information was limited and nurses did not seem toexplore the nature of the family support. Patients discharge and after care needs were addressed occasionally as aspects of coordination of care. Current nursing policies could be evaluated on nursing and family oriented theories.Implications for education could include mirroring study findings with nurses in a group discussion to enhance their awareness on family caregiving aspects.
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BackgroundTo describe the prevalence of multimorbidity and to study the association between acute and chronic diseases in acutely hospitalized older patientsMethodsProspective cohort study conducted between 2006 and 2008 in three teaching hospitals in the Netherlands. 639 patients aged 65 years and older, hospitalized for > 48 h were included. Two physicians scored diseases, using ICD-9 codes. Chronic multimorbidity was defined as the presence of ≥ 2 chronic diseases, and acute multimorbidity as ≥ 1 acute diseases upon pre-existent chronic diseases. Logistic regression analyses were conducted to analyse cluster associations between a chronic index disease and the concurrent chronic or acute disease, corrected for age and sex.ResultsThe mean age of patients was 78 years, over 50% had ADL impairments. Prevalence of chronic multimorbidity was 69%, and acute multimorbidity was present in 88%. Hypertension (OR 1.16; 95% CI 1.08–1.24), diabetes (type I or type 2) (OR 1.12; 95% CI 1.04–1.21), heart failure (OR 1.25; 95% CI 1.14–1.38) and COPD (OR 1.19; 95% CI 1.05–1.34) were associated with acute renal failure. Hypertension (OR 1.10; 95% CI 1.04–1.17) and atrial fibrillation (OR 1.17; 95% CI 1.08–1.27) were associated with an adverse drug event. Gastro-intestinal bleeding was clustered with atrial fibrillation (OR 1.11; 95% CI 1.04–1.19) and gastric ulcer (OR 1.16; 95% CI 1.07–1.25).ConclusionBoth acute and chronic multimorbidity was frequently present in hospitalized older patients. We identified specific associations between acute and chronic diseases. There is a need for strategies addressing multimorbidity during the exacerbation of chronic diseases.
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This open access book is a valuable resource for students in health and other professions and practicing professionals interested in supporting effective change in self-management behaviors in chronic disease, such as medication taking, physical activity and healthy eating. Developed under the auspices of the Train4Health project, funded by the Erasmus+ program of the European Union, the book contains six chapters written by international contributors from different disciplines. This chapter sets the stage for the remaining book, by introducing the Train4Health project and by explaining how the learning outcomes presented in subsequent chapters have been derived and linked with content of the book. Firstly, the Train4Health interprofessional competency framework to support behaviour change in persons self-managing chronic disease is briefly presented. This European competency framework was the starting point for developing the learning outcomes-based curriculum, which is succinctly addressed in the subsequent section. Finally, practical considerations about the Train4Health curriculum are discussed, including opportunities and challenges for interprofessional education.
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BACKGROUND: Understanding of the consequences of a neuromuscular disease (NMD) can improve when a valid sample of disease-specific categories based on the International Classification of Functioning, Disabilities, and Health (ICF) is available.OBJECTIVE: To examine the content validity of the initial ICF Core Set for neuromuscular diseases (NMDs). The initial ICF Core Set was developed for three chronic neurological diseases.DESIGN: A qualitative method.METHODS: To examine the content validity of the initial ICF Core Set for NMD, concepts in established disease-specific health-related Quality of Life Questionnaires (HRQOL) were compared with ICF categories. Next, the selected ICF categories were linked to the ICF categories in the initial ICF Core Set.RESULTS: All concepts in the HRQOL questionnaires, except one body function concept, were covered by the initial ICF Core Set. However, the NMD Core Set reflects a broader scope concerning health problems than the concepts in the HRQOL questionnaires do, especially concerning the "Participation" and "Environmental Factors" components.CONCLUSION: The NMD Core Set, as well as a measurement based on this Core Set, can contribute to a better understanding of the consequences of NMDs and can also serve as a basis for clinical practice, research, social security systems, and educational programs.CLINICAL REHABILITATION IMPACT: The newly developed NMD Core Set can be a basis for enhancing the development of rehabilitation interventions and improving overall health care for patients with a NMD.
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