Treatment Patterns With Antipsychotics in Long-Term Care Patients With Parkinson's Disease Psychosis.

This study assessed treatment change patterns in Parkinson's disease psychosis (PDP) residents receiving antipsychotic (AP) therapies in U.S. long-term care (LTC) facilities. Residents with PDP in LTC between 01/01/13 and 06/30/16 were identified with ≥1 claim of psychosis, hallucinations, or delusions after PD diagnosis. Treatment patterns were evaluated during the 12 months post index. We identified 864 PDP residents: 408 (47.2%) on AP therapy and 456 (52.8%) on no AP therapy. A total of 335 residents (82.1%) continued, 13 (3.2%) discontinued, 11 (2.7%) switched, and 49 (12.0%) augmented (used ≥2 APs) their index AP therapy. Based on the multivariate regression analysis, younger age, male gender, anemia, anxiolytic use or anxiety, sedatives/hypnotic use, bladder disorders including urinary tract infections, coronary conditions, diabetes, hypertension, and dementia were associated with a higher likelihood of treatment change. Understanding the factors associated with treatment change may inform ways to improve management of PDP in the U.S. LTC setting.

Real-World Medication Treatment Patterns for Long-Term Care Residents with Dementia-Related Psychosis.

Objectives: This study evaluated treatment patterns and factors associated with medication treatment changes in residents with dementia-related psychosis in a long-term care (LTC) setting. Methods: A retrospective database cohort study was conducted using the national PharMerica® database and included dementia residents with or without incident psychosis. Treatment patterns were assessed and a multivariate logistic regression model was used to identify factors associated with any treatment change (discontinuation, switch, or sporadic use) in dementia-related psychosis therapy. Results: Among 11,921 residents with incident dementia-related psychosis, 11,246 (94.3%) were prescribed ≥1 index medication to treat psychosis, including 77.3% who received ≥1 typical or atypical antipsychotic. Treatment change was evaluated during the post-index period: 38.7% of residents with dementia-related psychosis discontinued treatment, 13.9% switched treatments, and 7.9% had sporadic use. Factors associated with treatment change were age ≥65 years, Medicare insurance, and comorbid conditions (anemia, coronary heart disease, diabetes, falls, depression, hypertension, or hyperlipidemia) during the pre-index period. Discussion: Approximately 60% of dementia-related psychosis LTC residents experienced a medication treatment change. This treatment change was associated with higher age and higher comorbidities. Medications that treat symptoms of dementia-related psychosis without adding to safety concerns are needed to facilitate long-term, consistent treatment.

Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force report.

Despite the great realized or potential value of network meta-analysis of randomized controlled trial evidence to inform health care decision making, many decision makers might not be familiar with these techniques. The Task Force developed a consensus-based 26-item questionnaire to help decision makers assess the relevance and credibility of indirect treatment comparisons and network meta-analysis to help inform health care decision making. The relevance domain of the questionnaire (4 questions) calls for assessments about the applicability of network meta-analysis results to the setting of interest to the decision maker. The remaining 22 questions belong to an overall credibility domain and pertain to assessments about whether the network meta-analysis results provide a valid answer to the question they are designed to answer by examining 1) the used evidence base, 2) analysis methods, 3) reporting quality and transparency, 4) interpretation of findings, and 5) conflicts of interest. The questionnaire aims to help readers of network meta-analysis opine about their confidence in the credibility and applicability of the results of a network meta-analysis, and help make decision makers aware of the subtleties involved in the analysis of networks of randomized trial evidence. It is anticipated that user feedback will permit periodic evaluation and modification of the questionnaire.