Skip to main content
Top
Published in: BMC Primary Care 1/2018

Open Access 01-12-2018 | Research article

Polypharmacy in older patients with chronic diseases: a cross-sectional analysis of factors associated with excessive polypharmacy

Authors: Anja Rieckert, Ulrike S. Trampisch, Renate Klaaßen-Mielke, Eva Drewelow, Aneez Esmail, Tim Johansson, Sophie Keller, Ilkka Kunnamo, Christin Löffler, Joonas Mäkinen, Giuliano Piccoliori, Anna Vögele, Andreas Sönnichsen

Published in: BMC Primary Care | Issue 1/2018

Login to get access

Abstract

Background

Polypharmacy is common in older people and associated with potential harms. The aim of this study was to analyse the characteristics of an older multimorbid population with polypharmacy and to identify factors contributing to excessive polypharmacy in these patients.

Methods

This cross-sectional analysis is based on the PRIMA-eDS trial, a large randomised controlled multicentre study of polypharmacy in primary care. Patients’ baseline data were used for analysis. A number of socioeconomic and medical data as well as SF-12-scores were entered into a generalized linear mixed model to identify variables associated with excessive polypharmacy (taking ≥10 substances daily).

Results

Three thousand nine hundred four participants were recruited. Risk factors significantly associated with excessive polypharmacy were frailty (OR 1.45; 95% CI 1.22–1.71), > 8 diagnoses (OR 2.64; 95% CI 2.24–3.11), BMI ≥30 (OR 1.18; 95% CI 1.02–1.38), a lower SF-12 physical health composite score (OR 1.47; 95% CI 1.26–1.72), and a lower SF-12 mental health composite score (OR 1.33; 95% CI 1.17–1.59) than the median of the study population (≤36.6 and ≤ 48.7, respectively). Age ≥ 85 years (OR 0.83; 95% CI 0.70–0.99) led to a significantly lower risk for excessive polypharmacy. No association with excessive polypharmacy could be found for female sex, low educational level, and smoking. Regarding the study centres, being recruited in the UK led to a significantly higher risk for excessive polypharmacy compared to being recruited in Germany 1/Rostock (OR 1.71; 95% CI 1.27–2.30). Being recruited in Germany 2/Witten led to a slightly significant lower risk for excessive polypharmacy compared to Germany 1/Rostock (OR 0.74; 95% CI 0.56–0.97).

Conclusions

Frailty, multimorbidity, obesity, and decreased physical as well as mental health status are risk factors for excessive polypharmacy. Sex, educational level, and smoking apparently do not seem to be related to excessive polypharmacy. Physicians should especially pay attention to their frail, obese patients who have multiple diagnoses and a decreased health-related quality of life, to check carefully whether all the drugs prescribed are evidence-based, safe, and do not interact in an unfavourable way.

Trial registration

This trial has been registered with Current Controlled Trials Ltd. on 31 July 2014 (ISRCTN10137559).
Appendix
Available only for authorised users
Literature
8.
go back to reference Guerriero F, Orlando V, Tari DU, Di Giorgio A, Cittadini A, Trifiro G, Menditto E. How healthy is community-dwelling elderly population? Results from Southern Italy Transl Med UniSa. 2015;13:59–64.PubMed Guerriero F, Orlando V, Tari DU, Di Giorgio A, Cittadini A, Trifiro G, Menditto E. How healthy is community-dwelling elderly population? Results from Southern Italy Transl Med UniSa. 2015;13:59–64.PubMed
12.
go back to reference Corsonello A, Pedone C, Incalzi RA. Age-related pharmacokinetic and pharmacodynamic changes and related risk of adverse drug reactions. Curr Med Chem. 2010;17:571–84.CrossRefPubMed Corsonello A, Pedone C, Incalzi RA. Age-related pharmacokinetic and pharmacodynamic changes and related risk of adverse drug reactions. Curr Med Chem. 2010;17:571–84.CrossRefPubMed
17.
go back to reference The King's Fund. Polypharmacy and medicines optimisation: Making it safe and sound. 2013. The King's Fund. Polypharmacy and medicines optimisation: Making it safe and sound. 2013.
28.
go back to reference Maruish MEE. User’s manual for the SF-12v2 health survey. 3rd ed. Lincoln, RI: QualityMetric Incorporated; 2012. Maruish MEE. User’s manual for the SF-12v2 health survey. 3rd ed. Lincoln, RI: QualityMetric Incorporated; 2012.
29.
go back to reference OECD. Classifying Educational Programmes – Manual for ISCED-97 Implementation in OECD Countries – 1999 Edition. OECD. 1999. OECD. Classifying Educational Programmes – Manual for ISCED-97 Implementation in OECD Countries – 1999 Edition. OECD. 1999.
34.
38.
go back to reference Counterweight Project Team. The impact of obesity on drug prescribing in primary care. Br J Gen Pract. 2005;55:743–9.PubMedCentral Counterweight Project Team. The impact of obesity on drug prescribing in primary care. Br J Gen Pract. 2005;55:743–9.PubMedCentral
46.
go back to reference McGovern MP, Boroujerdi MA, Taylor MW, Williams DJ, Hannaford PC, Lefevre KE, Simpson CR. The effect of the UK incentive-based contract on the management of patients with coronary heart disease in primary care. Fam Pract. 2008;25:33–9. https://doi.org/10.1093/fampra/cmm073. McGovern MP, Boroujerdi MA, Taylor MW, Williams DJ, Hannaford PC, Lefevre KE, Simpson CR. The effect of the UK incentive-based contract on the management of patients with coronary heart disease in primary care. Fam Pract. 2008;25:33–9. https://​doi.​org/​10.​1093/​fampra/​cmm073.
51.
Metadata
Title
Polypharmacy in older patients with chronic diseases: a cross-sectional analysis of factors associated with excessive polypharmacy
Authors
Anja Rieckert
Ulrike S. Trampisch
Renate Klaaßen-Mielke
Eva Drewelow
Aneez Esmail
Tim Johansson
Sophie Keller
Ilkka Kunnamo
Christin Löffler
Joonas Mäkinen
Giuliano Piccoliori
Anna Vögele
Andreas Sönnichsen
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Primary Care / Issue 1/2018
Electronic ISSN: 2731-4553
DOI
https://doi.org/10.1186/s12875-018-0795-5

Other articles of this Issue 1/2018

BMC Primary Care 1/2018 Go to the issue