Introduction: Self-management is considered a potential answer to the increasing demand for family medicine by people suffering from a chronic condition or multi-morbidity. A key element of self-management is goal setting. Goal setting is often defined as a moment of agreement between a professional and a patient. In the self-management literature, however, goal setting is regarded as a circular process. Still, it is unclear how professionals working in family medicine can put it into practice. This background paper aims to contribute to the understanding of goal setting within self-management and to identify elements that need further development for practical use. Debate: Four questions for debate emerge in this article: (1) What are self-management goals? (2) What is necessary to accomplish the process of goal setting within self-management? (3) How can professionals decide on the degree of support needed for goal setting within self-management? (4) How can patients set their goals and how can they be supported? Implications: Self-management goals can be set for different (life) domains. Using a holistic framework will help in creating an overview of patients’ goals that do not merely focus on medical issues. It is a challenge for professionals to coach their patients to think about and set their goals themselves. More insight in patients’ willingness and ability to set self-management goals is desirable. Moreover, as goal setting is a circular process, professionals need to be supported to go through this process with their patients.
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This is the first meta-analysis focusing on elderly patients with mobility problems, physical disability and/or multi-morbidity. The aim of this study is to assess the effect of physical exercise therapy on mobility, physical functioning, physical activity and quality of life. A broad systematic literature search was performed in the databases PubMed, CINAHL, Embase, PEDro and The Cochrane Library. Relevant study characteristics were reviewed and meta-analyses using standardized mean differences (SMDs) were performed. The results show that physical exercise therapy has a positive effect on mobility (SMD final value: 0.18; 95% CI: 0.05, 0.30; SMD change value: 0.82; 95% CI: 0.54, 1.10) and physical functioning (SMD final value: 0.27; 95% CI: 0.08, 0.46; SMD change value: 2.93; 95% CI: 2.50, 3.36). High-intensity exercise interventions seem to be somewhat more effective in improving physical functioning than low-intensity exercise interventions (SMD final value: 0.22; 95% CI: −0.17, 0.62; SMD change value: 0.38; 95% CI: −0.48, 1.25). These positive effects are of great value for older adults who are already physically impaired. The effect on physical activity and quality of life was not evident and no definite conclusions on the most effective type of physical exercise therapy intervention can be drawn.
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Aim. To report the expectations and experiences of general practitioners and practice nurses regarding the U-CARE programme, to gain a better understanding of the barriers and facilitators in providing proactive, structured care to frail older people and to determine whether implementation is feasible. Background. Care for older patients with complex care needs in primary care is fragmented, reactive and time consuming. A structured, proactive care programme was developed to improve physical functioning and quality of life in frail older patients. Design. An explanatory mixed-methods study nested in a cluster-randomized trial. Methods. The barriers to and needs for the provision of structured, proactive care, and expectations regarding the U-CARE programme were assessed with prequestionnaires sent to all participating general practitioners (n = 32) and practice nurses (n = 21) in October 2010. Postquestionnaires measured experiences with the programme after 5 months. Twelve months later, focus group meetings were conducted. Results. Practice nurses and general practitioners reported that it was difficult to provide proactive and structured care to older patients with multi-morbidity, different cultural backgrounds and low socioeconomic status. Barriers were a lack of time and financial compensation. Most general practitioners and practice nurses indicated that the programme added value for the coordination of care and allowed them to provide structured care. Conclusion. This explanatory mixed-methods study showed that general practitioners and practice nurses perceived the U-CARE programme as feasible in general practice. A transition was made from reactive, ad hoc care towards a proactive and preventive care approach
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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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Background: Due to the increasing number of older people with multi-morbidity, the demand for outpatient geriatric rehabilitation (OGR) will also increase. Objective: To assess the effects of OGR on the primary outcome functional performance (FP) and secondary outcomes: length of in-patient stay, re-admission rate, patients’ and caregivers’ quality of life, mortality and cost-effectiveness. We also aim to describe the organisation and content of OGR. Methods: Systematic review and meta-analysis. Five databases were queried from inception to July 2022. We selected randomised controlled trials written in English, focusing on multidisciplinary interventions related to OGR, included participants aged ≥65 and reported one of the main outcomes. A meta-analysis was performed on FP, patients’ quality of life, length of stay and re-admissions. The structural, procedural and environmental aspects of OGR were systematically mapped. Results: We selected 24 studies involving 3,405 participants. The meta-analysis showed no significant effect on the primary outcome FP (activity). It demonstrated a significant effect of OGR on shortening length of in-patient stay (P = 0.03, MD = −2.41 days, 95%CI: [−4.61—0.22]). Frequently used elements of OGR are: inpatient start of OGR with an interdisciplinary rehabilitation team, close cooperation with primary care, an OGR coordinator, individual goal setting and education for both patient and caregiver. Conclusion: This review showed that OGR is as effective as usual care on FP activity. It shows low certainty of evidence for OGR being effective in reducing the length of inpatient stay. Further research is needed on the various frequently used elements of OGR
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Introduction: Bruxism is a repetitive masticatory muscle activity that may cause substantial morbidity and reduce the quality of life in children with profound intellectual and multiple disabilities. Assessment methods most commonly used were caregiver reporting and dental examination, This systematic review with meta-analysis aims to determine the prevalence of bruxism in children with profound intellectual and multiple disabilities and to describe the currently used assessment methods for bruxism in this population. Methods: We conducted a systematic review and meta-analysis using a multi-component search strategy. We used a random effects model to calculate the prevalence and 95 % confidence intervals for each study, for all studies combined, and specifically for Rett syndrome (RS), cerebral palsy (CP), Down syndrome (DS), and “other disorders (primarily Angelman syndrome and Prader–Willi syndrome).” Results: The prevalence for the entire group based on a random effects model was found to be 49 % (95 %CI 41–57 %) with high heterogeneity (I2 = 93 %, p < 0.01), for RS 74 % (95 %CI 53–88 %, I2 = 84 %, p < 0.01), CP 48 % (95 %CI 38–57 %, I2 = 86 %, p < 0.01), DS 40 % (95 %CI 33–47 %, I2 = 60 %, p < 0.01) and “other disorders” 40 % (95 %CI 18–67 %, I2 = 98 %, p < 0.01). The group prevalences were not equal, indicating a significant difference (P-value = 0.03), with a notably higher likelihood of RS. Conclusion: We observed a five-fold increased likelihood of bruxism in children with profound intellectual and multiple disabilities. The disorder with the highest prevalence was Rett syndrome, with a seven-fold increased likelihood of bruxism. The increased likelihood of bruxism in this vulnerable group of children demands clinicians pay heed to this substantial morbidity.
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This study aimed to identify simple rules for allocating chronic obstructive pulmonary disease (COPD) patients to clinical phenotypes identified by cluster analyses.Data from 2409 COPD patients of French/Belgian COPD cohorts were analysed using cluster analysis resulting in the identification of subgroups, for which clinical relevance was determined by comparing 3-year all-cause mortality. Classification and regression trees (CARTs) were used to develop an algorithm for allocating patients to these subgroups. This algorithm was tested in 3651 patients from the COPD Cohorts Collaborative International Assessment (3CIA) initiative.Cluster analysis identified five subgroups of COPD patients with different clinical characteristics (especially regarding severity of respiratory disease and the presence of cardiovascular comorbidities and diabetes). The CART-based algorithm indicated that the variables relevant for patient grouping differed markedly between patients with isolated respiratory disease (FEV1, dyspnoea grade) and those with multi-morbidity (dyspnoea grade, age, FEV1 and body mass index). Application of this algorithm to the 3CIA cohorts confirmed that it identified subgroups of patients with different clinical characteristics, mortality rates (median, from 4% to 27%) and age at death (median, from 68 to 76 years).A simple algorithm, integrating respiratory characteristics and comorbidities, allowed the identification of clinically relevant COPD phenotypes.
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BACKGROUND: Due to the increasing number of older people with multi-morbidity, the demand for outpatient geriatric rehabilitation (OGR) will also increase.OBJECTIVE: To assess the effects of OGR on the primary outcome functional performance (FP) and secondary outcomes: length of in-patient stay, re-admission rate, patients' and caregivers' quality of life, mortality and cost-effectiveness. We also aim to describe the organisation and content of OGR.METHODS: Systematic review and meta-analysis. Five databases were queried from inception to July 2022. We selected randomised controlled trials written in English, focusing on multidisciplinary interventions related to OGR, included participants aged ≥65 and reported one of the main outcomes. A meta-analysis was performed on FP, patients' quality of life, length of stay and re-admissions. The structural, procedural and environmental aspects of OGR were systematically mapped.RESULTS: We selected 24 studies involving 3,405 participants. The meta-analysis showed no significant effect on the primary outcome FP (activity). It demonstrated a significant effect of OGR on shortening length of in-patient stay (P = 0.03, MD = -2.41 days, 95%CI: [-4.61-0.22]). Frequently used elements of OGR are: inpatient start of OGR with an interdisciplinary rehabilitation team, close cooperation with primary care, an OGR coordinator, individual goal setting and education for both patient and caregiver.CONCLUSION: This review showed that OGR is as effective as usual care on FP activity. It shows low certainty of evidence for OGR being effective in reducing the length of inpatient stay. Further research is needed on the various frequently used elements of OGR.
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Background: The increase in life expectancy has brought about a higher prevalence of chronic illnesses among older people. Objectives: To identify common chronic illnesses among older adults, to examine the influence of such conditions on their Health-Related Quality of Life (HRQoL), and to determine factors predicting their HRQoL. Method: A population-based cross-sectional study was conducted involving 377 individuals aged 60 years and above who were selected using multi-stage sampling techniques in Olorunda Local Government, Osun State, Nigeria. Data were collected using an interviewer-administered questionnaire comprising socio-demographic characteristics, chronic illnesses, and the World Health Organization quality of life instrument (WHOQOL-BREF) containing physical health, psychological, social relationships, and environmental domains. Results: About half (51.5%) of the respondents reported at least one chronic illness which has lasted for 1–5 years (43.3%). The prevalence of hypertension was 36.1%, diabetes 13.9% and arthritis 13.4%. Respondents with chronic illness had significantly lower HRQoL overall and in the physical health, social relationships and the environmental domains (all p<0.05) compared to those without a chronic illness. Factors that predicted HRQoL include age, marital status, level of education, the presence of chronic illness and prognosis of the condition. Conclusion: This study concluded that chronic illness is prevalent in Nigerian older people and significantly influence their HRQoL. Age, marital status, and level of education were associated with HRQoL in this group.
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