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Background:Although physicians are responsible for writing the antipsychotic prescriptions for patients with dementia, the initiative is often taken by nurses or nursing assistants. To reduce antipsychotics uses, one needs to understand the reasons for nurses and nursing assistants to request them. This study gives an overview of the influencing factors for this request based on the Theory of Planned Behavior in which attitude, beliefs, and behavioral control is thought to influence the intention to request, which in turn affects the behavior to request for a prescription.Methods:Eighty-one nurses and nursing assistants of one Dutch nursing home organization completed an online survey.Results:Nurses and nursing assistants frequently agreed on items related to the positive effects of antipsychotics for the resident and for the staff. Nurses and nursing assistants with a lower job satisfaction were more likely to call for antipsychotics. Having more positive beliefs about treatment effects and feel of being more in control toward asking for antipsychotics were positively associated with intention to call. All variables explained 59% of the variance of intention. The current position (nurse/nursing assistant) was associated with actual behavior to call. The explained variance was 25%.Conclusions:Policy-makers should focus on the nurses’ and nursing assistants’ belief in positive effects of antipsychotics for the resident, which is not in line with available evidence. Nurses and nursing assistants should be educated about the limited effectiveness of antipsychotics.

Background:Despite the numerous warnings of European and national drug agencies as well as clinical guidelines since the year 2004, psychotropic drugs are still frequently used in dementia. A systematic review comparing the use of psychotropic drugs in nursing homes from different European countries is lacking.Objective:The aim of this study was to examine prescription rates of psychotropic drug use in nursing home patients between different Western European countries since the first warnings were published.Methods:A literature review was performed and the various psychotropic prescribing rates in European nursing homes were investigated. The prescription rates of antipsychotic and antidepressants were pooled per country. Other classes of psychotropic drugs could not be pooled because of the limited number of studies found.Results:Thirty-seven studies on antipsychotic drug use and 27 studies on antidepressant drug use conducted in 12 different European countries. The antipsychotic use in nursing homes ranged from 12% to 59% and antidepressant use from 19% to 68%. The highest rates of antipsychotic drug prescription were found in Austria, Ireland, and Belgium while for antidepressants in Belgium, Sweden, and France.Conclusions:Despite warnings about the side effects and recommendation to focus on non-pharmacological interventions, antipsychotics and antidepressants are commonly used drugs in nursing homes. The data suggest that Norway does best with regards having a low antipsychotic drug usage. Studies are needed to explain the differences between Norway and other European countries.

Introduction Preference elicitation methods help to increase patient-centred medical decision making (MDM) by measuring benefit and value. Preferences can be applied in decisions regarding reimbursement, including health technology assessment (HTA); market access, including benefit–risk assessment (BRA); and clinical care. These three decision contexts have different requirements for use and elicitation of preferences. Objectives This systematic review identified studies using preference elicitation methods and summarized methodological and practical characteristics within the requirements of the three contexts. Methods The search terms included those related to MDM and patient preferences. Only articles with original data from quantitative preference elicitation methods were included. Results The selected articles (n = 322) included 379 preference elicitation methods, comprising matching methods [MM] (n = 71, 18.7 %), discrete choice experiments [DCEs] (n = 96, 25.3 %), multi-criteria decision analysis (n = 12, 3.2 %) and other methods (n = 200, 52.8 %; i.e. rating scales, which provide estimates inconsistent with utility theory). Most publications of preference elicitation methods had an intended use in clinical decisions (n = 134, 40 %). Fewer preference studies had an intended use in HTA (n = 68, 20 %) or BRA (n = 12, 4 %). In clinical decisions, rating, ranking, visual analogue scales and direct choice are used most often. In HTA, DCEs and MM are both used frequently, and elicitation of preferences in BRA was limited to DCEs. Conclusion Relatively simple preference methods are often adequate in clinical decisions because they are easy to administer and have a low cognitive burden. MM and DCE fulfil the requirements of HTA and BRA but are complex for respondents. No preference elicitation methods with a low cognitive burden could adequately inform HTA and BRA decisions.

Background: Patient involvement is widely acknowledged to be a valuable component in health technology assessment (HTA) and healthcare decision making. However, quantitative approaches to ascertain patients' preferences for treatment endpoints are not yet established. The objective of this study is to introduce the analytic hierarchy process (AHP) as a preference elicitation method in HTA. Based on a systematic literature review on the use of AHP in health care in 2009, the German Institute for Quality and Efficiency in Health Care (IQWiG) initiated an AHP study related to its HTA work in 2010.Methods: The AHP study included two AHP workshops, one with twelve patients and one with seven healthcare professionals. In these workshops, both patients and professionals rated their preferences with respect to the importance of different endpoints of antidepressant treatment by a pairwise comparison of individual endpoints. These comparisons were performed and evaluated by the AHP method and relative weights were generated for each endpoint.Results: The AHP study indicates that AHP is a well-structured technique whose cognitive demands were well handled by patients and professionals. The two groups rated some of the included endpoints of antidepressant treatment differently. For both groups, however, the same six of the eleven endpoints analyzed accounted for more than 80 percent of the total weight.Conclusions: AHP can be used in HTA to give a quantitative dimension to patients' preferences for treatment endpoints. Preference elicitation could provide important information at various stages of HTA and challenge opinions on the importance of endpoints.

Aim: To evaluate an SMS service (SMS = short message service = text message) with which laypersons are alerted to go to patients with suspected out-of-hospital cardiac arrest and perform early cardiopulmonary resuscitation (CPR) and use an Automated External Defibrillator (AED). This study is the first to report on a program in which an emergency medical service (EMS) is able to alert citizens by sending them SMS messages on their mobile phone. - Methods: Web-based questionnaires were completed by laypersons who were sent an alert by the AED-Alert system between February 1, 2010 and April 30, 2010. Questions concerned the process of training, receiving alerts, actions taken and follow-up care. - Results: AED-Alert was activated for 52 patients suspected of cardiac arrest, sending 3227 alerts to 2287 laypersons. Out of 2168 eligible laypersons 1679 (77%) completed 2098 questionnaires, one for each alert. Action was taken in only 579 alerts. Laypersons were not in the patient's vicinity (41%), noticed alerts too late (35%), or other reasons (24%). In 298 alerts laypersons faced problems with retrieving AEDs (51%), finding addresses (29%), traffic (5%), or other (15%). Aid was provided in 75 alerts, involving 47 patients. Laypersons started early CPR and defibrillation (49%), assisted EMS personnel (52%), or took care of family (39%). Laypersons arrived before EMS personnel in 21 patients, started CPR and defibrillation in 18, and assisted EMS personnel in 9 patients. - Conclusion: Improvements of the SMS alert service by laypersons, the EMS, and through technical adjustments, could increase the number of laypersons who provide early aid.

Background SBP is a potent predictor of mortality. However, in hemodialysis populations, the relation between SBP and mortality is a matter of debate. In hemodialysis patients, low SBP rather than high SBP has been related to mortality. It has been suggested that this inverse relationship is 'normalized' in dialysis patients with a low mortality risk and that short-term and long-term effects of SBP might differ. Design We analyzed the relationship of mortality and SBP in 1111 incident hemodialysis patients participating in the Netherlands Cooperative Study on the Adequacy of Dialysis (NECOSAD) cohort. Long-term and short-term effects were studied in patients with (n = 452) and without (n = 659) cardiovascular comorbidity. Results Maximal follow-up was 7.5 years; 477 patients died. Two-year mortality rate was 44 and 20% in the groups with and without cardiovascular comorbidity, respectively. Both in the whole group and in both subpopulations, low SBP was associated with an increased mortality. The increased mortality risk associated with low SBP was especially observed as a short-term effect (6 months). In neither group did we observe a significant long-term effect between SBP and mortality. Conclusion Our data do not support the hypothesis that the inverse relation between SBP and mortality is 'normalized' in a dialysis population with a low absolute mortality risk. Neither do our data support the hypothesis that elevated SBP increases mortality risk in the long-term. J Hypertens 28:439-445 (c) 2010 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.