Factors associated with polypharmacy and the high risk of medication-related problems among older community-dwelling adults in European countries: a longitudinal study

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Abstract

Background

Polypharmacy can be defined as using five or more medications simultaneously. “Medication-related problems”, an extension of polypharmacy, includes inappropriate prescribing, poor adherence, overdosage, underdosage, inappropriate drug selection, inadequate monitoring, adverse drug effects, and drug interactions. Polypharmacy and the high risk of medication-related problems among older people are associated with adverse health consequences due to drug-drug interactions, drug-disease interactions, and adverse drug effects. This study aims to assess the factors associated with polypharmacy and the high risk of medication-related problems among community-dwelling older people in the Netherlands, Greece, Croatia, Spain, United Kingdom.

Method

This longitudinal study used baseline and follow-up data from 1791 participants of the Urban Health Center European project. Polypharmacy and the risk of medication-related problems were evaluated at baseline and follow-up using the Medication Risk Questionnaire. We studied factors in the domains (a) sociodemographic characteristics, (b) lifestyle and nutrition, and (c) health and health care use. Hierarchical logistic regression analyses were used to examine the factors associated with polypharmacy and the high risk of medication-related problems.

Results

Mean age was 79.6 years (SD ± 5.6 years); 60.8% were women; 45.2% had polypharmacy, and 41.8% had a high risk of medication-related problems. Women participants had lower odds of polypharmacy (OR = 0.55;95%CI:0.42–0.72) and a high risk of medication-related problems (OR = 0.50; 95%CI:0.39–0.65). Participants with a migration background (OR = 1.67;95%CI:1.08–2.59), overweight (OR = 1.37; 95%CI:1.04–1.79) and obesity (OR = 1.78;95%CI:1.26–2.51) compared to ‘normal weight’, with lower physical HRQoL (OR = 0.96, 95%CI:0.95–0.98), multi-morbidity (OR = 3.73, 95%CI:2.18–6.37), frailty (OR = 1.69, 95%CI:1.24–2.30), visited outpatient services (OR = 1.77, 95%CI: 1.09–2.88) had higher odds of polypharmacy. The associations with the high risk of medication-related problems were similar.

Conclusions

Multiple factors in demography, lifestyle, nutrition, and health care use are associated with polypharmacy and the high risk of medication-related problems. Polypharmacy is a single element that may reflect the number of medications taken. The broader content of medication-related problems should be considered to assess the context of medication use among older people comprehensively. These provide starting points to improve interventions to reduce polypharmacy and high risk of medication-related problems. In the meantime, health professionals can apply these insights to identify subgroups of patients at a high risk of polypharmacy and medication-related problems.

Trial registration

The intervention of the UHCE project was registered in the ISRCTN registry as ISRCTN52788952. The date of registration is 13/03/2017.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03536-z.

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Most cited references 43

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A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

J. Ware, M Kosinski, S Keller (1996)

Regression methods were used to select and score 12 items from the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) to reproduce the Physical Component Summary and Mental Component Summary scales in the general US population (n=2,333). The resulting 12-item short-form (SF-12) achieved multiple R squares of 0.911 and 0.918 in predictions of the SF-36 Physical Component Summary and SF-36 Mental Component Summary scores, respectively. Scoring algorithms from the general population used to score 12-item versions of the two components (Physical Components Summary and Mental Component Summary) achieved R squares of 0.905 with the SF-36 Physical Component Summary and 0.938 with SF-36 Mental Component Summary when cross-validated in the Medical Outcomes Study. Test-retest (2-week)correlations of 0.89 and 0.76 were observed for the 12-item Physical Component Summary and the 12-item Mental Component Summary, respectively, in the general US population (n=232). Twenty cross-sectional and longitudinal tests of empirical validity previously published for the 36-item short-form scales and summary measures were replicated for the 12-item Physical Component Summary and the 12-item Mental Component Summary, including comparisons between patient groups known to differ or to change in terms of the presence and seriousness of physical and mental conditions, acute symptoms, age and aging, self-reported 1-year changes in health, and recovery for depression. In 14 validity tests involving physical criteria, relative validity estimates for the 12-item Physical Component Summary ranged from 0.43 to 0.93 (median=0.67) in comparison with the best 36-item short-form scale. Relative validity estimates for the 12-item Mental Component Summary in 6 tests involving mental criteria ranged from 0.60 to 107 (median=0.97) in relation to the best 36-item short-form scale. Average scores for the 2 summary measures, and those for most scales in the 8-scale profile based on the 12-item short-form, closely mirrored those for the 36-item short-form, although standard errors were nearly always larger for the 12-item short-form.

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Long-term disorders are the main challenge facing health-care systems worldwide, but health systems are largely configured for individual diseases rather than multimorbidity. We examined the distribution of multimorbidity, and of comorbidity of physical and mental health disorders, in relation to age and socioeconomic deprivation. In a cross-sectional study we extracted data on 40 morbidities from a database of 1,751,841 people registered with 314 medical practices in Scotland as of March, 2007. We analysed the data according to the number of morbidities, disorder type (physical or mental), sex, age, and socioeconomic status. We defined multimorbidity as the presence of two or more disorders. 42·2% (95% CI 42·1-42·3) of all patients had one or more morbidities, and 23·2% (23·08-23·21) were multimorbid. Although the prevalence of multimorbidity increased substantially with age and was present in most people aged 65 years and older, the absolute number of people with multimorbidity was higher in those younger than 65 years (210,500 vs 194,996). Onset of multimorbidity occurred 10-15 years earlier in people living in the most deprived areas compared with the most affluent, with socioeconomic deprivation particularly associated with multimorbidity that included mental health disorders (prevalence of both physical and mental health disorder 11·0%, 95% CI 10·9-11·2% in most deprived area vs 5·9%, 5·8%-6·0% in least deprived). The presence of a mental health disorder increased as the number of physical morbidities increased (adjusted odds ratio 6·74, 95% CI 6·59-6·90 for five or more disorders vs 1·95, 1·93-1·98 for one disorder), and was much greater in more deprived than in less deprived people (2·28, 2·21-2·32 vs 1·08, 1·05-1·11). Our findings challenge the single-disease framework by which most health care, medical research, and medical education is configured. A complementary strategy is needed, supporting generalist clinicians to provide personalised, comprehensive continuity of care, especially in socioeconomically deprived areas. Scottish Government Chief Scientist Office. Copyright © 2012 Elsevier Ltd. All rights reserved.

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The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test.

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To evaluate the 3 alcohol consumption questions from the Alcohol Use Disorders Identification Test (AUDIT-C) as a brief screening test for heavy drinking and/or active alcohol abuse or dependence. Patients from 3 Veterans Affairs general medical clinics were mailed questionnaires. A random, weighted sample of Health History Questionnaire respondents, who had 5 or more drinks over the past year, were eligible for telephone interviews (N = 447). Heavy drinkers were oversampled 2:1. Patients were excluded if they could not be contacted by telephone, were too ill for interviews, or were female (n = 54). Areas under receiver operating characteristic curves (AUROCs) were used to compare mailed alcohol screening questionnaires (AUDIT-C and full AUDIT) with 3 comparison standards based on telephone interviews: (1) past year heavy drinking (>14 drinks/week or > or =5 drinks/ occasion); (2) active alcohol abuse or dependence according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition, criteria; and (3) either. Of 393 eligible patients, 243 (62%) completed AUDIT-C and interviews. For detecting heavy drinking, AUDIT-C had a higher AUROC than the full AUDIT (0.891 vs 0.881; P = .03). Although the full AUDIT performed better than AUDIT-C for detecting active alcohol abuse or dependence (0.811 vs 0.786; P<.001), the 2 questionnaires performed similarly for detecting heavy drinking and/or active abuse or dependence (0.880 vs 0.881). Three questions about alcohol consumption (AUDIT-C) appear to be a practical, valid primary care screening test for heavy drinking and/or active alcohol abuse or dependence.

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Author and article information

Contributors

Hein Raat: h.raat@erasmusmc.nl

Journal

Journal ID (nlm-ta): BMC Geriatr

Journal ID (iso-abbrev): BMC Geriatr

Title: BMC Geriatrics

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2318

Publication date (Electronic): 7 November 2022

Publication date PMC-release: 7 November 2022

Publication date Collection: 2022

Volume: 22

Electronic Location Identifier: 841

Affiliations

[1 ]GRID grid.5645.2, ISNI 000000040459992X, Department of Public Health, , Erasmus MC, University Medical Center Rotterdam, P.O, ; . Box 2040, 3000 CA Rotterdam, The Netherlands

[2 ]GRID grid.22939.33, ISNI 0000 0001 2236 1630, Department of Social Medicine and Epidemiology, Faculty of Medicine, , University of Rijeka, ; Rijeka, Croatia

[3 ]Department of Microbiology, Teaching Institute of Public Health of Primorsko-Goranska, County, Rijeka, Croatia

[4 ]GRID grid.5645.2, ISNI 000000040459992X, Department of Internal Medicine, , Erasmus MC, University Medical Center, ; Rotterdam, The Netherlands

[5 ]GRID grid.5379.8, ISNI 0000000121662407, Epidemiology and Public Health Group, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, , Manchester Academic Health Sciences Centre, The University of Manchester, ; Manchester, UK

[6 ]GRID grid.5338.d, ISNI 0000 0001 2173 938X, Polibienestar Research Institute - Universitat de València ES, ; Valencia, Spain

[7 ]Alliance for Integrated Care, Athens, Greece

Article

Publisher ID: 3536

DOI: 10.1186/s12877-022-03536-z

PMC ID: 9641844

PubMed ID: 36344918

SO-VID: b200e0d0-0e82-4002-a076-79f04bc86b7e

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 2 May 2022

Date accepted : 11 October 2022

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100007565, Consumers, Health, Agriculture and Food Executive Agency;

Award ID: 20131201

Award Recipient : Lizhen Ye Junwen Yang-Huang Carmen Betsy Franse Tomislav Rukavina Vanja Vasiljev Francesco Mattace-Raso Arpana Verma Tamara Alhambra Borrás Tasos Rentoumis Hein Raat

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ScienceOpen disciplines: Geriatric medicine

Keywords: polypharmacy; medication-related problems; older people; sex; migration background, bmi, frailty, outpatient services, health related quality of life

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ScienceOpen disciplines: Geriatric medicine

Keywords: polypharmacy; medication-related problems; older people; sex; migration background, bmi, frailty, outpatient services, health related quality of life

Factors associated with polypharmacy and the high risk of medication-related problems among older community-dwelling adults in European countries: a longitudinal study

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Hearing Loss and Restoration

Most cited references 43

A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test.

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