Consensus gene modules strategy identifies candidate blood-based biomarkers for primary Sjögren's disease.

Primary Sjögren disease (pSD) is an autoimmune disease characterized by lymphoid infiltration of exocrine glands leading to dryness of the mucosal surfaces and by the production of autoantibodies. The pathophysiology of pSD remains elusive and no treatment with demonstrated efficacy is available yet. To better understand the biology underlying pSD heterogeneity, we aimed at identifying Consensus gene Modules (CMs) that summarize the high-dimensional transcriptomic data of whole blood samples in pSD patients. We performed unsupervised gene classification on four data sets and identified thirteen CMs. We annotated and interpreted each of these CMs as corresponding to cell type abundances or biological functions by using gene set enrichment analyses and transcriptomic profiles of sorted blood cell subsets. Correlation with independently measured cell type abundances by flow cytometry confirmed these annotations. We used these CMs to reconcile previously proposed patient stratifications of pSD. Importantly, we showed that the expression of modules representing lymphocytes and erythrocytes before treatment initiation is associated with response to hydroxychloroquine and leflunomide combination therapy in a clinical trial. These consensus modules will help the identification and translation of blood-based predictive biomarkers for the treatment of pSD.

How external and agency characteristics are related to coordination in homecare - findings of the national multicenter, cross-sectional SPOTnat study.

BACKGROUND: Homecare client services are often distributed across several interdependent healthcare providers, making proper care coordination essential. However, as studies exploring care coordination in the homecare setting are scarce, serious knowledge gaps exist regarding how various factors influence coordination in this care sector. To fill such gaps, this study's central aim was to explore how external factors (i.e., financial and regulatory mechanisms) and homecare agency characteristics (i.e., work environment, workforce, and client characteristics) are related to care coordination in homecare. METHODS: This analysis was part of a national multicentre, cross-sectional study in the Swiss homecare setting that included a stratified random sample of 88 Swiss homecare agencies. Data were collected between January and September 2021 through agency and employee questionnaires. Using our newly developed care coordination framework, COORA, we modelled our variables to assess the relevant components of care coordination on the structural, process, and outcome levels. We conducted both descriptive and multilevel regression analyses-with the latter adjusting for dependencies within agencies-to explore which key factors are associated with coordination. RESULTS: The final sample size consisted of 1450 employees of 71 homecare agencies. We found that one explicit coordination mechanism ("communication and information exchange" (beta = 0.10, p <.001)) and four implicit coordination mechanisms-"knowledge of the health system" (beta = -0.07, p <.01), "role clarity" (beta = 0.07, p <.001), "mutual respect and trust" (beta = 0.07, p <.001), and "accountability, predictability, common perspective" (beta = 0.19, p <.001)-were significantly positively associated with employee-perceived coordination. We also found that the effects of agency characteristics and external factors were mediated through coordination processes. CONCLUSION: Implicit coordination mechanisms, which enable and enhance team communication, require closer examination. While developing strategies to strengthen implicit mechanisms, the involvement of the entire care team is vital to create structures (i.e., explicit mechanisms) that enable communication and information exchange. Appropriate coordination processes seem to mitigate the association between staffing and coordination. This suggests that they support coordination even when workload and overtime are higher.

The unrecognized role of fidelity in effectiveness-implementation hybrid trials: simulation study and guidance for implementation researchers.

BACKGROUND: Effectiveness-implementation hybrid designs are a relatively new approach to evaluate efficacious interventions in real-world settings while concurrently gathering information on the implementation. Intervention fidelity can significantly influence the effectiveness of an intervention during implementation. However little guidance exists for applied researchers conducting effectiveness-implementation hybrid trials regarding the impact of fidelity on intervention effects and power. METHODS: We conducted a simulation study based on parameters from a clinical example study. For the simulation, we explored parallel and stepped-wedge cluster randomized trials (CRTs) and hypothetical patterns of fidelity increase during implementation: slow, linear, and fast. Based on fixed design parameters, i.e., the number of clusters (C = 6), time points (T = 7), and patients per cluster (n = 10) we used linear mixed models to estimate the intervention effect and calculated the power for different fidelity patterns. Further, we conducted a sensitivity analysis to compare outcomes based on different assumptions for the intracluster-correlation coefficient and the cluster size. RESULTS: Ensuring high fidelity from the beginning is central to achieve accurate intervention effect estimates in stepped-wedge and parallel CRTs. The importance of high fidelity in the earlier stages is more emphasized in stepped-wedge designs than in parallel CRTs. In contrast, if the increase of fidelity is too slow despite relatively high starting levels, the study will likely be underpowered and the intervention effect estimates will also be biased. This effect is more accentuated in parallel CRTs, here reaching 100% fidelity within the next measurement points is crucial. CONCLUSIONS: This study discusses the importance of intervention fidelity for the study`s power and highlights different recommendations to deal with low fidelity in parallel and stepped-wedge CRTs from a design perspective. Applied researchers should consider the detrimental effect of low fidelity in their evaluation design. Overall, there are fewer options to adjust the trial design after the fact in parallel CRT as compared to stepped-wedge CRTs. Particular emphasis should be placed on the selection of contextually relevant implementation strategies.

Variability of Primary Sjögren's Syndrome Is Driven by Interferon-α and Interferon-α Blood Levels Are Associated With the Class II HLA-DQ Locus.

OBJECTIVE: Primary Sjögren's syndrome (SS) is the second most frequent systemic autoimmune disease, affecting 0.1% of the general population. To characterize the molecular and clinical variabilities among patients with primary SS, we integrated transcriptomic, proteomic, cellular, and genetic data with clinical phenotypes in a cohort of 351 patients with primary SS. METHODS: We analyzed blood transcriptomes and genotypes of 351 patients with primary SS who were participants in a multicenter prospective clinical cohort. We replicated the transcriptome analysis in 3 independent cohorts (n = 462 patients). We determined circulating interferon-α (IFNα) and IFNγ protein concentrations using digital single molecular arrays (Simoa). RESULTS: Transcriptome analysis of the prospective cohort showed a strong IFN gene signature in more than half of the patients; this finding was replicated in the 3 independent cohorts. Because gene expression analysis did not discriminate between type I IFN and type II IFN, we used Simoa to demonstrate that the IFN transcriptomic signature was driven by circulating IFNα and not by IFNγ protein levels. IFNα protein levels, detectable in 75% of patients, were significantly associated with clinical and immunologic features of primary SS disease activity at enrollment and with increased frequency of systemic complications over the 5-year follow-up. Genetic analysis revealed a significant association between IFNα protein levels, a major histocompatibility (MHC) class II haplotype, and anti-SSA antibody. Additional cellular analysis revealed that an MHC class II HLA-DQ locus acts through up-regulation of HLA class II molecules on conventional dendritic cells. CONCLUSION: We identified the predominance of IFNα as a driver of primary SS variability, with IFNα demonstrating an association with HLA gene polymorphisms.

Positive effect of the INTERCARE nurse-led model on reducing nursing home transfers: A nonrandomized stepped-wedge design.

BACKGROUND: Unplanned nursing home (NH) transfers are burdensome for residents and costly for health systems. Innovative nurse-led models of care focusing on improving in-house geriatric expertise are needed to decrease unplanned transfers. The aim was to test the clinical effectiveness of a comprehensive, contextually adapted geriatric nurse-led model of care (INTERCARE) in reducing unplanned transfers from NHs to hospitals. METHODS: A multicenter nonrandomized stepped-wedge design within a hybrid type-2 effectiveness-implementation study was implemented in 11 NHs in German-speaking Switzerland. The first NH enrolled in June 2018 and the last in November 2019. The study lasted 18 months, with a baseline period of 3 months for each NH. Inclusion criteria were 60 or more long-term care beds and 0.8 or more hospitalizations per 1'000 resident care days. Nine hundred and forty two long-term NH residents were included between June 2018 and January 2020 with informed consent. Short-term residents were excluded. The primary outcome was unplanned hospitalizations. A fully anonymized dataset of overall transfers of all NH residents served as validation. Analysis was performed with segmented mixed regression modeling. RESULTS: Three hundred and three unplanned and 64 planned hospitalizations occurred. During the baseline period, unplanned transfers increased over time (ß1  = 0.52), after which the trend significantly changed by a similar but opposite amount (ß2  = -0.52; p = 0.0001), resulting in a flattening of the average transfer rate throughout the postimplementation period (ß1  + ß2  ≈ 0). Controlling for age, gender, and cognitive performance did not affect these trends. The validation set showed a similar flattening trend. CONCLUSION: A complex intervention with six evidence-based components demonstrated effectiveness in significantly reducing unplanned transfers of NH residents to hospitals. INTERCARE's success was driven by registered nurses in expanded roles and the use of tools for clinical decision-making.

Nurses' burden caused by sleep disturbances of nursing home residents with dementia: multicenter cross-sectional study.

BACKGROUND: Sleep disturbances are common in people with dementia. In nursing homes, this is frequently associated with residents' challenging behavior and potentially with nurses' burden. This study examined nurses' burden associated with nursing home residents' sleep disturbances. METHODS: A multicenter cross-sectional study was conducted. Nurses' burden associated with residents' sleep disturbances was assessed using the Sleep Disorder Inventory (SDI). Additionally, the proportion of nurses' total burden associated with sleep disturbances of residents with dementia was assessed. A linear mixed regression model was used to investigate the association with nurses', residents' and institutional characteristics. RESULTS: One hundred eleven nurses from 38 nursing homes were included. 78.4% stated to be regularly confronted with residents' sleep disturbances during nightshifts, causing distress. The mean proportion of nurses' total burden caused by residents' sleep disturbances was 23.1 % (SD 18.1). None of the investigated characteristics were significantly associated with nurses' total burden. CONCLUSIONS: Nurses report burden associated with sleep disturbances as common problem. There is a need to develop effective interventions for sleep problems and to train nurses how to deal with residents' sleep disturbances.

TALKING TIME: A pilot randomized controlled trial investigating social support for informal caregivers via the telephone.

BACKGROUND: Caring for people with dementia at home requires considerable time, organization and commitment. Therefore, informal caregivers of people with dementia are often overburdened. This study examined the effects of the telephone-based Talking Time intervention, which is an approach used to strengthen the psychological health-related quality of life (HRQoL) and social support of informal caregivers of people with dementia living at home. METHODS: This study was a Medical Research Council framework phase two randomized controlled trial. The intervention consisted of a preliminary talk, information booklet, six structured telephone-based support group meetings and a structured written self-evaluation of each support group meeting. The control participants performed their usual individual self-organized care. After completing the data collection, the control group received the Talking Time intervention for fidelity reasons. The primary outcome was the self-rated psychological HRQoL of the informal caregivers, which was measured with the mental component summary of the General Health Survey Questionnaire Short Form 12 (SF-12). RESULTS: Thirty-eight informal caregivers and their relatives were included and allocated to the intervention or control groups (n = 19 each). After 3 months, the Talking Time intervention group demonstrated an increase in the self-rated psychological HRQoL scores, whereas the scores decreased in the control group. However, the standardized effect size of 1.65 (95% Confidence Interval, - 0.44 - 3.75) was not significant. Additionally, the secondary outcomes demonstrated no significant results. The differences between the groups in most outcomes were in the expected direction. No adverse effects were identified due to the intervention. CONCLUSIONS: The Talking Time intervention is feasible and shows nonsignificant promising results with regard to the self-rated psychological HRQoL. After further adjustment, the intervention needs to be evaluated in a full trial. TRIAL REGISTRATION: Clinical Trials: NCT02806583 , June 9, 2016 (retrospectively registered).

Dealing with the behaviour of residents with dementia that challenges: A stepped-wedge cluster randomized trial of two types of dementia-specific case conferences in nursing homes (FallDem).

BACKGROUND: The negative effects of behavioural changes among dementia residents and the consequences for caregivers are a major problem in the care of people with dementia. Case conferences (CC) are recommended as a useful method to understand the underlying causes of the behaviour and to plan tailored interventions OBJECTIVES: The aim of this article is to describe the effects of two dementia-specific CC models on the prevalence of behaviour that challenges and other secondary outcomes. DESIGN: Stepped-wedge cluster randomized trial. SETTING: Nursing homes: The inclusion criterion was the participation of at least two units with a minimum of 30 residents who were mainly cared for in the study units. PARTICIPANTS: A total of 224 residents and 189 staff from six nursing homes in the IdA (Innovative dementia-orientated Assessment system) cohort and 241 residents and 284 staff from six nursing homes in the Neo (Narrative Approach) cohort were included in the study. The inclusion criteria were the following: medical diagnosis of dementia from nursing charts, FAST (Functional Assessment Staging) score > 1, living at least 15 days in the unit, and informed consent. METHODS: The nursing homes were randomized to the type of intervention and time point of intervention delivery. The two interventions in the form of the case conference models (Welcome-IdA and -Neo) differed in the type of behaviour analysis method. The intervention duration was seven months. The primary outcome was the change in the prevalence of behaviour that challenges. Secondary outcomes were residents' quality of life, prescription of psychotropic medications, formal caregiver burnout, dementia-related stress, and vocational action competence. The outcomes were measured on seven data points every three months. Linear mixed-effects models were used to analyze intervention effects between the control, intervention and follow-up periods. RESULTS: No differences were found concerning the primary outcome between the control and intervention cohorts for both CC models. Further exploratory data analyses showed a reduction in behaviours such as apathy (18%) and eating disturbances (29%) for the IdA cohort and hallucination (27%) and delusion (28%) in the NEO cohort. Only staff in the IdA cohort demonstrated a reduction in work-related burnout from the control phase to the intervention phase. CONCLUSION: Specific CC for behaviour that challenges do not decrease the overall prevalence of residents showing changes in behaviour. However, there are indications that the case conferences influence some types of behaviour and reduce the risk factors for work-related burnout.

Prevalence of Sleep Disturbances in German Nursing Home Residents with Dementia: A Multicenter Cross-Sectional Study.

BACKGROUND: Sleep disturbances and insomnia occur frequently in people with dementia and are associated with a number of problems for affected persons, relatives, and carers. OBJECTIVE: Considering the lack of high-quality data especially from Germany, this study aimed to determine the prevalence of sleep disturbances and possible associated factors with in German nursing home residents. METHODS: Multicenter cross-sectional study. Nursing homes in Northern Germany were randomly selected from nursing home registers and contacted consecutively. All residents with cognitive impairment living in the nursing homes were included. Data collection took place between June and December 2017. In addition to the characteristics of nursing homes, nurses, and residents, sleep disturbances of residents with dementia were assessed using the Sleep Disorder Inventory (SDI). Descriptive statistics were applied for prevalence assessment. A generalized linear mixed model was used to investigate associated factors. RESULTS: 38 nursing homes and 1,187 residents with cognitive impairment were included in the study. Sleep disturbances were reported for 23% of residents with pronounced differences between centers, ranging from 0-85%. The prescription of psychotropic drugs (OR 4.47; 95% CI 3.06-6.43; p < 0.01), residence at a specialized dementia care unit (OR 2.43; 95% CI 1.30-4.53; p < 0.01), and male sex (OR 1.56, 95% CI 1.08-2.25, p < 0.02) were significantly associated with sleep problems. CONCLUSIONS: In Germany, prevalence of sleep disturbances in people with dementia is comparable to reports from other countries. Therefore, the development and rigorous evaluation of preferably non-pharmacological interventions is strongly warranted.

Quality of Life in People With Severe Dementia and Its Association With the Environment in Nursing Homes: An Observational Study.

BACKGROUND AND OBJECTIVES: Theoretical models propose the environment as a factor influencing the quality of life (QoL) of nursing home residents with dementia. This study investigates whether the observed QoL differs depending on the type of care unit. RESEARCH DESIGN AND METHODS: DemenzMonitor is an exploratory, observational study involving annual data collection in German nursing homes (2012-2014). For this analysis, we selected residents with a recorded diagnosis of dementia and severe cognitive impairment. QoL was measured with the proxy assessment QUALIDEM. Four care unit types were investigated: large integrated, large segregated, small integrated, and small segregated. RESULTS: We did not find a significant difference between the care units. During the 2 years, the observed QoL was not affected by any of the care unit types in a statistically significant or clinically relevant manner. However, a significant interaction effect between time and care unit types was found. DISCUSSION AND IMPLICATIONS: Structural and organizational characteristics of care units, which in turn have implications for residents characteristics and the quality of care, may influence the QoL of residents. This may explain the interaction we observed.

Methodological approaches in analysing observational data: A practical example on how to address clustering and selection bias.

BACKGROUND: Because not every scientific question on effectiveness can be answered with randomised controlled trials, research methods that minimise bias in observational studies are required. Two major concerns influence the internal validity of effect estimates: selection bias and clustering. Hence, to reduce the bias of the effect estimates, more sophisticated statistical methods are needed. AIM: To introduce statistical approaches such as propensity score matching and mixed models into representative real-world analysis and to conduct the implementation in statistical software R to reproduce the results. Additionally, the implementation in R is presented to allow the results to be reproduced. METHOD: We perform a two-level analytic strategy to address the problems of bias and clustering: (i) generalised models with different abilities to adjust for dependencies are used to analyse binary data and (ii) the genetic matching and covariate adjustment methods are used to adjust for selection bias. Hence, we analyse the data from two population samples, the sample produced by the matching method and the full sample. RESULTS: The different analysis methods in this article present different results but still point in the same direction. In our example, the estimate of the probability of receiving a case conference is higher in the treatment group than in the control group. Both strategies, genetic matching and covariate adjustment, have their limitations but complement each other to provide the whole picture. CONCLUSION: The statistical approaches were feasible for reducing bias but were nevertheless limited by the sample used. For each study and obtained sample, the pros and cons of the different methods have to be weighted.

Dementia care mapping in nursing homes: effects on caregiver attitudes, job satisfaction, and burnout. A quasi-experimental trial.

BACKGROUND: The Dementia Care Mapping (DCM) method is an internationally recognized complex intervention in dementia research and care for implementing person-centered care. The Leben-QD II trial aimed to evaluate the effectiveness of DCM with regard to caregivers. METHODS: The nine participating nursing home units were allocated to three groups: (1) DCM method experienced ≥ 1 year, (2) DCM newly introduced during this trial, and (3) regular rating of residents' quality of life (control group). Linear mixed models were fit to cluster-aggregated data after 0, 6, and 18 months, adjusting for repeated measurements and confounders. The primary outcome was the Approaches to Dementia Questionnaire (ADQ) score; the secondary outcomes were the Copenhagen Psychosocial Questionnaire (COPSOQ) and the Copenhagen Burnout Inventory (CBI). RESULTS: The analysis included 201 caregivers with 290 completed questionnaires (all three data collection time points). The ADQ showed a significant time and time*intervention effect. At baseline, the estimated least-square means for the ADQ were 71.98 (group A), 72.46 (group B), and 71.15 (group C). The non-linear follow-up of group A indicated an estimated-least square means of 69.71 (T 1) and 68.97 (T 2); for group B, 72.80 (T 1) and 72.29 (T 2); and for group C, 66.43 (T 1) and 70.62 (T 2). CONCLUSIONS: The DCM method showed a tendency toward negatively affecting the primary and secondary outcomes; this finding could be explained by the substantial deviation in adherence to the intervention protocol.

Feasibility and effectiveness of a telephone-based social support intervention for informal caregivers of people with dementia: Study protocol of the TALKING TIME project.

BACKGROUND: Caring for people with dementia at home requires a significant amount of time, organization, and commitment. Therefore, informal caregivers, mainly relatives, of people with dementia often feel a high burden. Although on-site support groups are known to have positive effects on the subjective well-being (SWB) and perceived social support of informal caregivers, there are cases in which relatives have either no time or no opportunity to leave the person alone or in which there are no support groups nearby. The TALKING TIME project aims to close this supply gap by providing structured telephone-based support groups in Germany for the first time. International studies have shown benefits for informal caregivers. METHODS: The TALKING TIME study is a randomized controlled trial. The effects of the 3-month TALKING TIME intervention will be compared with those of a control group without intervention at two time points (baseline = T0, after 3 months = T1). The control group will receive the TALKING TIME intervention after T1. With a planned sample size of 88 participants, the study is powered to detect an estimated effect size of 0.70 for psychological quality of life, considering an α of 0.05 (two-sided), a power of 80%. Caregivers are informal caregivers who are eligible if they are 18 years of age or older and have cared for a person with diagnosed dementia for at least four hours, four days per week, in the past six months. The exclusion criteria are psychiatric disorders of the informal caregiver. The primary outcome is the mental component summary of the SF-12 rated by informal caregivers. The secondary outcomes for informal caregivers are the physical component summary of the SF-12, the Perceived Social Support Caregiver Scale (SSCS) score, and the Caregiver Reaction Scale (CRS) score. The secondary outcome for care recipients is the Neuropsychiatric Inventory (NPI-Q). For the process evaluation, different quantitative and qualitative data sources will be collected to address reach, fidelity, dosage and context. DISCUSSION: The results will provide further information on the effectiveness and optimization of telephone-based support groups for informal caregivers of people with dementia, which can help guide the further development of effective telephone-based social support group interventions. TRIAL REGISTRATION: Clinical Trials: NCT02806583 , June 9, 2016.

Assessment of Label-Free Quantification in Discovery Proteomics and Impact of Technological Factors and Natural Variability of Protein Abundance.

We evaluated the state of label-free discovery proteomics focusing especially on technological contributions and contributions of naturally occurring differences in protein abundance to the intersample variability in protein abundance estimates in this highly peptide-centric technology. First, the performance of popular quantitative proteomics software, Proteome Discoverer, Scaffold, MaxQuant, and Progenesis QIP, was benchmarked using their default parameters and some modified settings. Beyond this, the intersample variability in protein abundance estimates was decomposed into variability introduced by the entire technology itself and variable protein amounts inherent to individual plants of the Arabidopsis thaliana Col-0 accession. The technical component was considerably higher than the biological intersample variability, suggesting an effect on the degree and validity of reported biological changes in protein abundance. Surprisingly, the biological variability, protein abundance estimates, and protein fold changes were recorded differently by the software used to quantify the proteins, warranting caution in the comparison of discovery proteomics results. As expected, ∼99% of the proteome was invariant in the isogenic plants in the absence of environmental factors; however, few proteins showed substantial quantitative variability. This naturally occurring variation between individual organisms can have an impact on the causality of reported protein fold changes.

Plant-to-Plant Variability in Root Metabolite Profiles of 19 Arabidopsis thaliana Accessions Is Substance-Class-Dependent.

Natural variation of secondary metabolism between different accessions of Arabidopsis thaliana (A. thaliana) has been studied extensively. In this study, we extended the natural variation approach by including biological variability (plant-to-plant variability) and analysed root metabolic patterns as well as their variability between plants and naturally occurring accessions. To screen 19 accessions of A. thaliana, comprehensive non-targeted metabolite profiling of single plant root extracts was performed using ultra performance liquid chromatography/electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC/ESI-QTOF-MS) and gas chromatography/electron ionization quadrupole mass spectrometry (GC/EI-QMS). Linear mixed models were applied to dissect the total observed variance. All metabolic profiles pointed towards a larger plant-to-plant variability than natural variation between accessions and variance of experimental batches. Ratios of plant-to-plant to total variability were high and distinct for certain secondary metabolites. None of the investigated accessions displayed a specifically high or low biological variability for these substance classes. This study provides recommendations for future natural variation analyses of glucosinolates, flavonoids, and phenylpropanoids and also reference data for additional substance classes.

Differences in Case Conferences in Dementia Specific vs Traditional Care Units in German Nursing Homes: Results from a Cross-Sectional Study.

OBJECTIVES: To investigate differences in the provision and performance of case conferences for people with dementia between dementia special care units (DSCUs) and traditional care units (TCUs) in nursing homes. Because DSCUs employ more staff, we expect the likelihood of the provision of case conferences to be higher in DSCUs. DESIGN: Observational cross-sectional study. Residents from DSCUs and TCUs were compared using genetic propensity score matching over all of the observed potential covariates, including the characteristics that served as admission criteria for DSCUs. Because of the multisite structure of the data, clustering was accounted for with a generalized mixed model. SETTING: DSCUs are defined as units within nursing homes that offer care exclusively to residents with dementia and that charge higher rates for the specialized care provided. TCUs are defined as care units for residents with and without dementia. PARTICIPANTS: A matched sample was drawn out of a convenience sample of 1808 residents from 51 nursing homes. It consisted of 264 residents from 16 DSCUs and 264 residents from 48 TCUs. INTERVENTIONS: None. MEASUREMENTS: Data regarding the provision of case conferences were collected by the nurses using the Dementia Care Questionnaire. Other collected data included challenging behavior (Neuropsychiatric Inventory Questionnaire), mobility (Physical Self-Maintenance Scale), cognitive impairment (Dementia Screening Scale), and sociodemographic information. RESULTS: In the DSCU group, case conferences were provided to 91% (n = 224) of the residents; in the TCU group, 82.5% (n = 203) received a case conference. After adjusting for clustering, no significant difference between DSCUs and non-DSCUs was found. The topic "challenging behaviors" was discussed more often in case conferences in TCUs. CONCLUSIONS: Case conferences are a widespread intervention in German nursing homes, including both DSCUs and TCUs. The provision of a case conference is not a special feature of DSCUs.

Joint Analysis of Dependent Features within Compound Spectra Can Improve Detection of Differential Features.

Mass spectrometry is an important analytical technology in metabolomics. After the initial feature detection and alignment steps, the raw data processing results in a high-dimensional data matrix of mass spectral features, which is then subjected to further statistical analysis. Univariate tests like Student's t-test and Analysis of Variances (ANOVA) are hypothesis tests, which aim to detect differences between two or more sample classes, e.g., wildtype-mutant or between different doses of treatments. In both cases, one of the underlying assumptions is the independence between metabolic features. However, in mass spectrometry, a single metabolite usually gives rise to several mass spectral features, which are observed together and show a common behavior. This paper suggests to group the related features of metabolites with CAMERA into compound spectra, and then to use a multivariate statistical method to test whether a compound spectrum (and thus the actual metabolite) is differential between two sample classes. The multivariate method is first demonstrated with an analysis between wild-type and an over-expression line of the model plant Arabidopsis thaliana. For a quantitative evaluation data sets with a simulated known effect between two sample classes were analyzed. The spectra-wise analysis showed better detection results for all simulated effects.

Dementia care mapping: effects on residents' quality of life and challenging behavior in German nursing homes. A quasi-experimental trial.

BACKGROUND: Person-centered care (PCC) is a widely recognized concept in dementia research and care. Dementia Care Mapping (DCM) is a method for implementing PCC. Prior studies have yielded heterogeneous results regarding the effectiveness of DCM for people with dementia (PwD). We aimed to investigate the effectiveness of DCM with regard to quality of life (QoL) and challenging behavior in PwD in nursing homes (NHs). METHODS: Leben-QD II is an 18-month, three-armed, pragmatic quasi-experimental trial. The sample of PwD was divided into three groups with three living units per group: (A) DCM applied since 2009, (B) DCM newly introduced during the study, and (C) a control intervention based on a regular and standardized QoL rating. The primary outcome was QoL measured with the Quality of Life-Alzheimer's Disease (QoL-AD) proxy, and the secondary outcomes were QoL (measured with QUALIDEM) and challenging behavior (measured with the Neuropsychiatric Inventory Nursing Home version, NPI-NH). RESULTS: There were no significant differences either between the DCM intervention groups and the control group or between the two DCM intervention groups regarding changes in the primary or secondary outcomes. At baseline, the estimated least square means of the QoL-AD proxy for groups A, B, and C were 32.54 (confidence interval, hereafter CI: 29.36-35.72), 33.62 (CI: 30.55-36.68), and 30.50 (CI: 27.47-33.52), respectively. The DCM groups A (31.32; CI: 28.15-34.48) and B (27.60; CI: 24.51-30.69) exhibited a reduction in QoL values, whereas group C exhibited an increase (32.54; CI: 29.44-35.64) after T2. CONCLUSIONS: DCM exhibited no statistically significant effect in terms of QoL and challenging behavior of PwD in NHs. To increase the likelihood of a positive effect for PwD, it is necessary to ensure successful implementation of the intervention.