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To investigate the impact of a complex multifaceted intervention on the appropriateness of prescribing for Belgian nursing home (NH) residents. A multicenter, nonblinded, cluster-randomized controlled trial, with randomization at the NH level, was set up [Cluster-Controlled Trial of an Intervention to Improve Prescribing in Nursing Homes (COME-ON) Study]. The complex intervention consisted of repeated interdisciplinary case conferences (ICCs) involving the general practitioner, pharmacist, and nurse, aimed at performing a medication review for each NH resident included. The ICCs were supported by a blended training program and local interdisciplinary meetings (discussion of the appropriate use of specific medication classes at the NH level). Control NHs delivered usual care. (isrctn.com: ISRCTN66138978). Belgian NHs with at least 35 NH residents were eligible to participate. Eligible residents were those aged 65 years or over, not receiving palliative care, and being treated by a participating general practitioner. The primary outcome measure related to appropriateness of prescribing at resident level and was considered successful when at least 1 potentially inappropriate medication (PIM) or potential prescribing omission (PPO) present at baseline had been solved at the end of study and when there were no new PIMs or PPOs at the end of study compared with baseline. Secondary outcomes included clinical outcomes, medication use, criterion-specific prevalence of PIMs and PPOs, and ICC outcomes. In total, 54 NHs (24 intervention; 30 control) and 1804 NH residents (847 intervention; 957 control) participated. Using a 3-level mixed-effects model accounting for data clustering, a significant effect in favor of the intervention was observed (odds ratio 1.479 [95% confidence interval 1.062-2.059, P = .021]). There was no significant difference between groups for most clinical outcomes. The median number of medications did not change over time in either group. The complex mul

Our aim was to describe the prevalence of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs) in Belgian nursing homes and to identify characteristics of residents, general practitioners (GPs), and nursing homes (NHs) that are associated with the number of PIMs and PPOs. A cross-sectional study. and Participants: Nursing home residents (NHRs), aged ≥65 years, not in palliative care were included in 54 Belgian NHs participating in the COME-ON study. Instances of PIMs were detected using a combination of the STOPP v2 and AGS 2015 Beers criteria. Instances of PPOs were detected using START v2. To assess factors associated with the number of PIMs and PPOs, a multivariate binomial negative regression analysis was performed. A total of 1410 residents, with a median age of 87 years, was included. The median number of medications taken was 9. PIMs were detected in 88.3% of NHRs and PPOs in 85.0%. Use of benzodiazepines (46.7%) and omission of vitamin D (51.5%) were the most common PIM and PPO, respectively. The factor most strongly associated with increased PIMs was the use of 5 to 9 drugs or ≥10 drugs [relative risk (RR) (95% confidence interval [CI]: 2.27 (1.89, 2.76) and 4.04 (3.37, 4.89), respectively]. The resident's age was associated with both decreased PIMs and increased PPOs. PIMs and PPOs were also associated with some NH characteristics, but not with GP characteristics. Implications: The high prevalence of PIMs and PPOs remains a major challenge for the NH setting. Future interventions should target in priority residents taking at least 10 medications and/or those taking psychotropic drugs. Future studies should explore factors related to organizational and prescribing culture. Moreover, special attention must be paid to the criteria used to measure inappropriate prescribing, including criteria relative to underuse.

BACKGROUND: Ageing has become a worldwide reality and presents new challenges for the health-care system. Research has shown that potentially inappropriate prescribing, both potentially inappropriate medications and potentially prescribing omissions, is highly prevalent in older people, especially in the nursing home setting. The presence of potentially inappropriate medications/potentially prescribing omissions is associated with adverse drug events, hospitalisations, mortality and health-care costs. The Collaborative approach to Optimise MEdication use for Older people in Nursing homes (COME-ON) study aims to evaluate the effect of a complex, multifaceted intervention, including interdisciplinary case conferences, on the appropriateness of prescribing of medicines for older people in Belgian nursing homes. METHODS/DESIGN: A multicentre cluster-controlled trial is set up in 63 Belgian nursing homes (30 intervention; 33 control). In each of these nursing homes, 35 residents (≥65 years) are selected for participation. The complex, multifaceted intervention comprises (i) health-care professional education and training, (ii) local concertation (discussion on the appropriate use of at least one medication class at the level of the nursing home) and (iii) repeated interdisciplinary case conferences between general practitioner, nurse and pharmacist to perform medication review for each included nursing home resident. The control group works as usual. The study period lasts 15 months. The primary outcome measures relate to the appropriateness of prescribing and are defined as (1) among residents who had at least one potentially inappropriate medication/potentially prescribing omission at baseline, the proportion of them for whom there is a decrease of at least one of these potentially inappropriate medications/potentially prescribing omissions at the end of study, and (2) among all residents, the proportion of them for whom at least one new potentially inappropriate medic

Explicit criteria, such as the STOPP/START criteria, are increasingly used both in clinical practice and in research to identify potentially inappropriate prescribing in older people. In an article on the STOPP/START criteria version 2, O'Mahony et al have pointed out the advantages of developing computerised criteria. Both clinical decision support systems to support healthcare professionals and software applications to automatically detect inappropriate prescribing in research studies can be developed. In the process of developing such tools, difficulties may occur. In the context of a research study, we have developed an algorithm to automatically apply STOPP/START criteria version 2 to our research database. We comment in this paper on different kinds of difficulties encountered and make suggestions that could be taken into account when developing the next version of the criteria.