Improving person-centred care in nursing homes through dementia-care mapping: design of a cluster-randomised controlled trial

Contains fulltext : 108278.pdf (postprint version ) (Open Access)BACKGROUND: The effectiveness and efficiency of nursing-home dementia care are suboptimal: there are high rates of neuropsychiatric symptoms among the residents and work-related stress among the staff. Dementia-care mapping is a person-centred care method that may alleviate both the resident and the staff problems. The main objective of this study is to evaluate the effectiveness and cost-effectiveness of dementia-care mapping in nursing-home dementia care. METHODS/DESIGN: The study is a cluster-randomised controlled trial, with nursing homes grouped in clusters. Studywise minimisation is the allocation method. Nursing homes in the intervention group will receive a dementia-care-mapping intervention, while the control group will receive usual care. The primary outcome measure is resident agitation, to be assessed with the Cohen-Mansfield Agitation Inventory. The secondary outcomes are resident neuropsychiatric symptoms, assessed with the Neuropsychiatric Inventory - Nursing Homes and quality of life, assessed with Qualidem and the EQ-5D. The staff outcomes are stress reactions, job satisfaction and job-stress-related absenteeism, and staff turnover rate, assessed with the Questionnaire about Experience and Assessment of Work, the General Health Questionnaire-12, and the Maastricht Job Satisfaction Scale for Health Care, respectively. We will collect the data from the questionnaires and electronic registration systems. We will employ linear mixed-effect models and cost-effectiveness analyses to evaluate the outcomes. We will use structural equation modelling in the secondary analysis to evaluate the plausibility of a theoretical model regarding the effectiveness of the dementia-care mapping intervention. We will set up process analyses, including focus groups with staff, to determine the relevant facilitators of and barriers to implementing dementia-care mapping broadly. DISCUSSION: A novelty of dementia-care mapping is that it offers an integral person-centred approach to dementia care in nursing homes. The major strengths of the study design are the large sample size, the cluster-randomisation, and the one-year follow-up. The generalisability of the implementation strategies may be questionable because the motivation for person-centred care in both the intervention and control nursing homes is above average. The results of this study may be useful in improving the quality of care and are relevant for policymakers. TRIAL REGISTRATION: The trial is registered in the Netherlands National Trial Register: NTR2314

Contrast Echocardiography Improves Interobserver Agreement for Wall Motion Score Index and Correlation with Ejection Fraction

Background: The wall motion score index (WMSI) is a surrogate for left ventricular ejection fraction (LV-EF), which becomes unreliable in poor echo windows. The value of contrast LV opacification (LVO) for WMSI assessment is not well known. Objectives: We sought to compare interobserver agreement for WMSI and the correlation between the LVO-WMSI and LV-EF using two-dimensional second harmonic (SH) and LVO echocardiography. Methods: The study comprised 100 consecutive patients (57 +/- 13 years, 85% males). Two independent physicians assessed LV segmental quality and wall motion for both the SH and LVO studies according to a 17-segment model. Systolic wall motion was defined as: normokinesia, hypokinesia (systolic inward endocardial motion < 7 mm), akinesia, and dyskinesia. LV-EF was assessed from the LVO images according to the biplane modified Simpson's method. Results: Of the 1,700 analyzed segments, 453 (26.6%) were poorly visualized with SH imaging, and 173 (10.2%) with LVO (P < 0.0001). The two observers agreed on segmental wall motion score in 1,299 segments (agreement 76%, Kappa 0.60) with SH imaging and in 1,491 segments (agreement 88%, Kappa 0.78) with LVO. Interobserver correlation (r2) was 0.86 for the SH-WMSI and 0.93 for the LVO-WMSI. The limits-of-agreement for interobserver LVO-WMSI (mean difference -1.0% +/- 6.8%, agreement -14.6%, 12.6%) was lower than that for SH-WMSI (mean difference -2.3% +/- 10.1%, agreement -22.5, 17.9). The LVO-WMSI correlated well with LV-EF (r2 = 0.71). LV-EF could be estimated according to the formula 1.01 - 0.32 x WMSI. Conclusion: Echo-contrast improves interobserver agreement for wall motion scoring and the WMSI. The LVO-imaged WMSI correlates well with LV-EF. (Echocardiography 2011;28:575-581)