Pauline M S Anrys1, Goedele C Strauven2, Veerle Foulon2, Jean-Marie Degryse3, Séverine Henrard4, Anne Spinewine5. 1. Université catholique de Louvain, Louvain Drug Research Institute, Clinical Pharmacy Research Group, Brussels, Belgium. Electronic address: pauline.anrys@uclouvain.be. 2. KU Leuven, Department of Pharmaceutical and Pharmacological Sciences, Leuven, Belgium. 3. Université catholique de Louvain, Institute of Health and Society, Brussels, Belgium; KU Leuven, Department of Public Health and Primary Care, Leuven, Belgium. 4. Université catholique de Louvain, Louvain Drug Research Institute, Clinical Pharmacy Research Group, Brussels, Belgium; Université catholique de Louvain, Institute of Health and Society, Brussels, Belgium. 5. Université catholique de Louvain, Louvain Drug Research Institute, Clinical Pharmacy Research Group, Brussels, Belgium; Université catholique de Louvain, CHU UCL Namur, Pharmacy department, Yvoir, Belgium.
Abstract
BACKGROUND/ OBJECTIVES: 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. DESIGN: A cross-sectional study. SETTING: 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. MEASURES: 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. RESULTS: 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. CONCLUSION: 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/ OBJECTIVES: 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. DESIGN: A cross-sectional study. SETTING: 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. MEASURES: 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. RESULTS: 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. CONCLUSION: 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.