Effectiveness of an intervention for improving drug prescription in primary care patients with multimorbidity and polypharmacy: study protocol of a cluster randomized clinical trial (Multi-PAP project)
Clicks: 274
ID: 81214
2017
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
6.0
/100
20 views
20 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Abstract Background Multimorbidity is associated with negative effects both on people’s health and on healthcare systems. A key problem linked to multimorbidity is polypharmacy, which in turn is associated with increased risk of partly preventable adverse effects, including mortality. The Ariadne principles describe a model of care based on a thorough assessment of diseases, treatments (and potential interactions), clinical status, context and preferences of patients with multimorbidity, with the aim of prioritizing and sharing realistic treatment goals that guide an individualized management. The aim of this study is to evaluate the effectiveness of a complex intervention that implements the Ariadne principles in a population of young-old patients with multimorbidity and polypharmacy. The intervention seeks to improve the appropriateness of prescribing in primary care (PC), as measured by the medication appropriateness index (MAI) score at 6 and 12 months, as compared with usual care. Methods/Design Design: pragmatic cluster randomized clinical trial. Unit of randomization: family physician (FP). Unit of analysis: patient. Scope: PC health centres in three autonomous communities: Aragon, Madrid, and Andalusia (Spain). Population: patients aged 65–74 years with multimorbidity (≥3 chronic diseases) and polypharmacy (≥5 drugs prescribed in ≥3 months). Sample size: n = 400 (200 per study arm). Intervention: complex intervention based on the implementation of the Ariadne principles with two components: (1) FP training and (2) FP-patient interview. Outcomes: MAI score, health services use, quality of life (Euroqol 5D-5L), pharmacotherapy and adherence to treatment (Morisky-Green, Haynes-Sackett), and clinical and socio-demographic variables. Statistical analysis: primary outcome is the difference in MAI score between T0 and T1 and corresponding 95% confidence interval. Adjustment for confounding factors will be performed by multilevel analysis. All analyses will be carried out in accordance with the intention-to-treat principle. Discussion It is essential to provide evidence concerning interventions on PC patients with polypharmacy and multimorbidity, conducted in the context of routine clinical practice, and involving young-old patients with significant potential for preventing negative health outcomes. Trial registration Clinicaltrials.gov, NCT02866799
| Reference Key |
pradostorres2017effectivenessimplementation
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Prados-Torres, Alexandra;Cura-González, Isabel del;Prados-Torres, Daniel;López-Rodríguez, Juan A.;Leiva-Fernández, Francisca;Calderón-Larrañaga, Amaia;López-Verde, Fernando;Gimeno-Feliu, Luis A.;Escortell-Mayor, Esperanza;Pico-Soler, Victoria;Sanz-Cuesta, Teresa;Bujalance-Zafra, Mª Josefa;Morey-Montalvo, Mariel;Boxó-Cifuentes, José Ramón;Poblador-Plou, Beatriz;Fernández-Arquero, José Manuel;González-Rubio, Francisca;Ramiro-González, María D.;Coscollar-Santaliestra, Carlos;Martín-Fernández, Jesús;Barnestein-Fonseca, Mª Pilar;Valderas-Martínez, José María;Marengoni, Alessandra;Muth, Christiane;Group, Multi-PAP; |
| Journal | implementation science |
| Year | 2017 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.