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Background: Antipsychotics are commonly prescribed to people living with dementia in nursing home settings, despite strong guideline recommendations against their use except in limited circumstances. We aimed to transparently describe the development process for a complex intervention targeting appropriate requesting and prescribing of antipsychotics to nursing home residents with dementia in Ireland, by nurses and general practitioners (GPs) respectively. Methods: We report the development process for the ‘Rationalising Antipsychotic Prescribing in Dementia’ (RAPID) complex intervention, in accordance with the ‘Guidance for reporting intervention development studies in health research’ (GUIDED) checklist.  The UK Medical Research Council framework for developing and evaluating complex interventions guided our overall approach, incorporating evidence and theory into the intervention development process. To unpack the intervention development process in greater detail, we followed the Behaviour Change Wheel approach. Guided by our stakeholders, we conducted three sequential studies (systematic review and qualitative evidence synthesis, primary qualitative study and expert consensus study), to inform the intervention development. Results: The RAPID complex intervention was developed in collaboration with a broad range of stakeholders, including people living with dementia and family carers, between 2015 and 2017. The finalised RAPID complex intervention was comprised of the following three components; 1) Education and training sessions with nursing home staff; 2) Academic detailing with GPs; 3) Introduction of an assessment tool to the nursing home. Conclusions: This paper describes the steps used by the researchers to develop a complex intervention targeting antipsychotic prescribing to nursing home residents with dementia in Ireland, according to the GUIDED checklist. We found that the GUIDED checklist provided a useful way of reporting all elements in a cohesive manner and complemented the other tools and frameworks used. Transparency in the intervention development processes can help in the translation of evidence into practice.

BACKGROUND: The approval of new oral disease-modifying drugs (DMDs), such as fingolimod, dimethyl fumarate (DMF), and teriflunamide, has considerably expanded treatment options for relapsing forms of multiple sclerosis (MS). However, data describing the use of these agents in routine clinical practice are limited. OBJECTIVE: To describe time trends and identify factors associated with oral DMD treatment initiation and switching among individuals with MS. METHODS: Using data from a large sample of commercially insured patients, we evaluated changes over time in the proportion of MS patients who initiated treatment with an oral DMD and who switched from an injectable DMD to an oral DMD between 2009 and 2014 in the United States. We evaluated predictors of oral DMD use using conditional logistic regression in 2 groups matched on calendar time: oral DMD initiators matched to injectable DMDs initiators and oral DMD switchers matched to those who switched to a second injectable DMD. RESULTS: Our cohort included 7,576 individuals who initiated a DMD and 1,342 who switched DMDs, of which oral DMDs accounted for 6% and 39%, respectively. Oral DMD initiation and switching steadily increased from 5% to 16% and 35% to 84%, respectively, between 2011 and 2014, with DMF being the most commonly used agent. Of the potential predictors with clinical significance, a recent neurologist consultation (OR = 1.60; 95% CI = 1.20-2.15) and emergency department visit (OR = 1.43; 95% CI = 1.01-2.01) were significantly associated with oral DMD initiation. History of depression was noted to be a potential predictor of oral DMD initiation; however, the estimate for this predictor did not reach statistical significance (OR = 1.35; 95% CI = 0.99-1.84). No clinically relevant factors measured in our data were associated with switching to an oral DMD. CONCLUSIONS: Oral DMDs were found to be routinely used as second-line treatment. However, we identified few factors predictive of oral DMD initiation or switching, which implies that their selection is driven by patient and/or physician preferences.

Purpose The objective of this study was to examine the impact of an academic detailing programme in primary care in Norway on the prescribing rate of diclofenac, naproxen and non-steroidal anti-inflammatory drugs (NSAIDs) in total. Methods An academic detailing programme was delivered to general practitioners (GPs) in two Norwegian cities. The key message was to avoid diclofenac and COX-2 inhibitors and to use naproxen as the NSAID of choice. We analysed prescription data for 12 months before and after the programme to estimate its impact, using interrupted time series to control for underlying trends, and using the rest of Norway as a comparator. The primary outcome was change in the proportion of the population filling a prescription for diclofenac; secondary outcomes were change in naproxen prescribing and change in total NSAID prescribing. Results Controlling for baseline trends, and relative to changes in the rest of Norway, there was a statistically significant reduction in the prescribing rate of diclofenac in both cities (− 18% and − 16%, respectively) immediately after the intervention. The impact of the programme on prescribing of diclofenac was maintained by the end of the 12 month follow-up period. An increase in the prescribing of naproxen was observed in both cities. The programme had no impact on the overall rate of prescribing of NSAIDs. Conclusion Academic detailing was effective in changing the choice of prescribed NSAID amongst Norwegian GPs. Academic detailing is potentially an important method for providing GPs with independent, evidence-based updates on pharmacotherapy to improve prescribing.

Over the past year our group has begun development of telephonebased speech understanding capability for our GALAXY conversational system. An important part of this process has been the collection of telephone speech which was used for training and evaluation. In the first phase of data collection our goal was to collect read speech from a wide variety of talkers, telephone handsets, and noise/channel conditions. In the second phase of data collection our additional goal was to collect spontaneous telephone speech from subjects actually using the system. In order to maximize variation in telephone conditions, as well as ease of use for subjects, the data collection software was designed to telephone subjects at their specified phone numbers around North America. Subjects initiate the data collection session by submitting an electronic form accessible by a WWW browser. For read speech collection, a set of prompts is automatically generated for the subject. This paper describes the design of the data collection system we are using for these purposes. To date we have collected over 9,000 utterances from over 270 subjects.