Rehabilitation patients: undernourished and obese?

BACKGROUND: The aim of this study was to assess the prevalence of undernutrition in patients in Dutch rehabilitation centres and to measure the diagnostic accuracy of available screening tools. METHODS: This cross-sectional multicentre study was conducted in 11 rehabilitation centres in The Netherlands. Patient's nutritional status was determined by the amount of weight loss during the last 1, 3 and 6 months and body mass index (BMI). Diagnostic accuracy was assessed for 5 screening tools: Short Nutritional Assessment Questionnaire (SNAQ), Short Nutritional Assessment Questionnaire Residential Care (SNAQRC), SNAQ65+, Malnutrition Universal Screening Tool and Mini nutrition Assessment-short form. RESULTS: Twenty-eight percent of the patients were severely undernourished and 10% were moderately undernourished. In the undernourished group, 28% were overweight (BMI 25-30) and 19% were obese (BMI > 30). The SNAQ65+ is the recommended screening tool due to its high diagnostic accuracy (sensitivity 96%, specificity 77%, positive predictive value 62%, negative predictive value 90%) and quick and easy use. The MNA had the worst diagnostic accuracy, with a sensitivity of 44%. CONCLUSION: The prevalence of undernutrition in patients in Dutch rehabilitation centres is high. Almost half of the undernourished patients were overweight or obese. Therefore, it is important not only to screen for undernutrition, but also carefully to assess possible overweight/obesity in every undernourished rehabilitation patient

Differences in biopsychosocial profiles of diabetes patients by level of glycaemic control and health-related quality of life: The Maastricht Study

Aims Tailored, patient-centred innovations are needed in the care for persons with type 2 diabetes mellitus (T2DM), in particular those with insufficient glycaemic control. Therefore, this study sought to assess their biopsychosocial characteristics and explore whether distinct biopsychosocial profiles exist within this subpopulation, which differ in health-related quality of life (HRQoL). Methods Cross-sectional study based on data from The Maastricht Study, a population-based cohort study focused on the aetiology, pathophysiology, complications, and comorbidities of T2DM. We analysed associations and clustering of glycaemic control and HRQoL with 38 independent variables (i.e. biopsychosocial characteristics) in different subgroups and using descriptive analyses, latent class analysis (LCA), and logistic regressions. Results Included were 840 persons with T2DM, mostly men (68.6%) and with a mean age of 62.6 (±7.7) years. Mean HbA1c was 7.1% (±3.2%); 308 patients (36.7%) had insufficient glycaemic control (HbA1c>7.0% [53 mmol/mol]). Compared to those with sufficient control, these patients had a significantly worse-off status on multiple biopsychosocial factors, including self-efficacy, income, education and several health-related characteristics. Two ‘latent classes’ were identified in the insufficient glycaemic control subgroup: with low respectively high HRQoL. Of the two, the low HRQoL class comprised about one-fourth of patients and had a significantly worse biopsychosocial profile. Conclusions Insufficient glycaemic control, particularly in combination with low HRQoL, is associated with a generally worse biopsychosocial profile. Further research is needed into the complex and multidimensional causal pathways explored in this study, so as to increase our understanding of the heterogeneous care needs and preferences of persons with T2DM, and translate this knowledge into tailored care and support arrangements

Profiling patients’ healthcare needs to support integrated, person-centered models for long-term disease management (Profile): Research design

10.5334/ijic.2208International Journal of Integrated Care162

The Patient Centered Assessment Method (PCAM) for Action-Based Biopsychosocial Evaluation of Patient Needs: Validation and Perceived Value of the Dutch Translation

The Patient Centered Assessment Method (PCAM) is an action-based tool that supports professionals to engage in a biopsychosocial assessment with patients and measure their needs. It is a promising tool for person-centered care. As the Netherlands lacks such a tool, a Dutch version was developed. Furthermore, we aimed to contribute to the relatively limited insights into the psychometric properties and value of the tool when used as part of a needs assessment in primary care. Confirmatory factor analysis was used to study construct validity and Cronbach’s alpha was computed to assess reliability. Furthermore, we interviewed 15 primary care professionals who used the PCAM. It was confirmed that each PCAM domain measures a separate construct, informed by the biopsychosocial model. The tool showed adequate reliability (Cronbach’s alpha = 0.83). Despite face validity concerns, the tool was mainly valued for measurement of patient needs and to facilitate action planning. Criticism of the PCAM pertained to a limited focus on the patient perspective, which is one of the crucial aspects of person-centered care. These rich, mixed-method insights can help to improve the value of the PCAM, as one of the few multifunctional tools to support professionals in holistic assessments

Preferred conversation topics with respect to treatment decisions among individuals with type 2 diabetes.

Purpose Greater knowledge of individuals' needs and preferences can enhance shared decision-making, which is associated with improved quality of decisions and increased satisfaction. This study aimed to identify and prioritize the attributes (ie conversation topics) that individuals with type 2 diabetes find it most important to discuss with their healthcare provider regarding treatment decisions. Patients and methods First, small group interviews were organized with adults with type 2 diabetes (N=8) treated in primary care to identify the attributes that they find important to discuss regarding treatment decisions. A five-step nominal group technique was applied during the interviews. An object best-worst scaling (BWS) survey was subsequently distributed to individuals with self-reported diabetes participating in the Dutch Health Care Consumer Panel of the Netherlands Institute for Health Services Research (N=600) to determine the relative importance score (RIS) of the identified attributes. A higher RIS indicates a higher level of perceived importance. Subgroup and latent class analyses were performed to explore whether individuals' demographic and disease characteristics influenced their attribute preferences. Results A total of 21 attributes were identified during three small group interviews with individuals with type 2 diabetes. Respondents in the BWS survey (N=285) viewed "quality of life" (RIS=11.97), "clinical outcomes" (RIS=10.40), "long-term diabetes complications" (RIS=9.83) and "short-term adverse medication" (RIS=7.72) as the most important in the decision-making process for the treatment of type 2 diabetes. Some differences in attribute preferences were identified according to demographic and disease characteristics. Conclusion In general, individuals with type 2 diabetes not only want to discuss the biological effects of treatments, but also the impact of treatment on their quality of life. Healthcare providers should be aware that attributes are viewed differently by different individuals. This emphasizes the need for tailor-made healthcare decisions, which means eliciting and responding to individual preferences in the decision-making process