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Journal of Primary Health Care Journal of Primary Health Care Society
Journal of The Royal New Zealand College of General Practitioners
RESEARCH ARTICLE (Open Access)

Medicines use and polypharmacy in retirement village residents in Aotearoa New Zealand: a point prevalence observational study

Joanna Hikaka https://orcid.org/0000-0001-6792-6607 1 2 * , Zhenqiang Wu 3 , Michal Boyd 3 4 , Martin J. Connolly 1 3 , Joanna B. Broad 3 , Cheryl Calvert 3 5 , Annie Tatton 1 , Kathy Peri 4 , Katherine Bloomfield https://orcid.org/0000-0001-6679-1763 1 3
+ Author Affiliations
- Author Affiliations

1 Waitematā District Health Board, Auckland, New Zealand.

2 Te Kupenga Hauora Māori, University of Auckland, Auckland, New Zealand.

3 Department of Geriatric Medicine, University of Auckland, Auckland, New Zealand.

4 School of Nursing, University of Auckland, Auckland, New Zealand.

5 Auckland District Health Board, Auckland, New Zealand.

* Correspondence to: j.hikaka@auckland.ac.nz

Handling Editor: Felicity Goodyear-Smith

Journal of Primary Health Care https://doi.org/10.1071/HC24038
Submitted: 8 March 2024  Accepted: 22 April 2024  Published: 6 May 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of The Royal New Zealand College of General Practitioners. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Introduction

Polypharmacy increases the risk of medicines-related harm, including falls, in older adults. Falls have a significant impact on quality of life and health system resources. Little is known about medicine use in retirement village (RV) residents in Aotearoa New Zealand (NZ).

Aim

Our study aimed to describe medicine use and the point prevalence of polypharmacy among a cohort of RV residents in Auckland, NZ.

Methods

Data collection occurred from July 2016 to June 2018. Eligible participants (those residing permanently in a RV) were recruited from RVs in Auckland, New Zealand. Medicines use data were collected using an interRAI assessment tool. Descriptive statistics, t-tests and Chi-squared tests were used for analysis.

Results

A total of 578 residents were recruited from 33 RVs and the median age was 81.6 years. Participants took a mean of 4.8 regular medicines (standard deviation = 2.9) and 0.7 ‘as required’ medicines. Anti-hypertensives (68.5%), lipid-lowering medicines (45.2%), antacids (39.4%) and antiplatelet agents (37.9%) were the most prescribed medicine classes. Polypharmacy (five-plus medicines; 51.8%) was common and hyperpolypharmacy (10-plus medicines; 5.7%) occurred infrequently.

Discussion

This study provides insight into medicines use by RV residents in Auckland, NZ. Medicines used for primary and secondary prevention of cardiovascular disease were used most commonly and polypharmacy was common. Active review of RV residents’ medicines is warranted, based on these findings and increasing evidence regarding the use of medicines, including those for primary prevention of cardiovascular disease.

Trial registration

Australia and New Zealand Clinical Trials Registry: CTRN12616000685415. Registered 25.5.2016. Universal Trial Number (UTN): U111–1173-6083.

Keywords: adverse drug reaction, aged, assisted living facilities, cardiovascular disease, frailty, medication review, pharmacoepidemiology, polypharmacy.

WHAT GAP THIS FILLS
What is already known: Polypharmacy is common in older age and is associated with increased risks of adverse outcomes. Little is known about polypharmacy or medicines use in retirement village residents in Aotearoa New Zealand.
What this study adds: This study identifies classes of medicines taken by retirement village residents and a high prevalence of polypharmacy and medicine use for the primary prevention of cardiovascular disease. Our findings, along with increasing evidence regarding medicine use in ‘oldest’ age, suggest that retirement village residents may benefit from active medicine review.

Introduction

Polypharmacy (the prescription of five or more medicines1) and hyperpolypharmacy (10 or more regular medicines2) are associated with increased risk of adverse drug reactions (ADRs) in older age.3 The impact of ADRs may be more significant in older adults, with higher risk of resultant morbidity including impaired physical function.4

Retirement villages (RVs) are an increasingly popular housing option for older adults, with 14% of those aged 75-plus years in New Zealand (NZ) residing in them.5 The number of older adults living in RVs is predicted to rise due to the ageing population5 and other perceived social and health benefits including increased security, reduced loneliness and the presence of onsite health clinics.6 Although there is evidence to show polypharmacy increases falls risk in the community and aged residential care settings,7,8 little is known about polypharmacy, or medicine use more generally, in the RV setting.

We aimed to describe medicine use and the point prevalence of polypharmacy among RV residents.

Methods

Study design

This point prevalence observational study is part of the Older People in Retirement Villages: Unidentified Need and Intervention Research Study (described in full elsewhere9), which examined demographic, health and social characteristics of RV residents, health status and healthcare utilisation trajectory over a 3-year period, and the effect of a complex multidisciplinary gerontology intervention. The current study has been reported in accordance with the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) guideline.10 Ethics approval was granted by the NZ Health and Disability Committee (Ref: 16/CEN/34).

Study population

The study population consisted of RV residents from two Auckland regions (Waitematā and Auckland). Recruitment was conducted in two steps, with recruitment and consent of RVs (via RV managers) followed by recruitment of resident participants by two research gerontology nurse specialists (GNSs). Residents were eligible to participate if they resided permanently in a RV unit/apartment and were excluded if they lacked capacity to consent. The GNS obtained written, informed consent from participants in a face-to-face meeting prior to participation.

Data collection

Medicine data were obtained from completion of an international Residential Assessment Instrument (interRAI) Community Health Assessment (CHA) facilitated in person by the GNS from July 2016 to June 2018. All regular medicines and ‘as required’ medicines taken in the previous 72 h were self-reported by residents, who used their own medicines/documents to support this process. Data were not reconciled against secondary sources. Medicines were classified using the Anatomical Therapeutic Chemical (ATC) classification, as coded in the interRAI data (Supplementary Table S1). Medicines were defined as those that have an ATC classification. Complementary and alternative medicines (CAMs) were excluded from total medicines counts.

Statistical analysis

Descriptive statistics were used for medicine categories. Both t-tests and Chi-squared tests were used to explore the association between polypharmacy and key demographics (age and gender). All analyses were performed using SAS version 9.4 (Cary, NC, USA). A two-sided P < 0.05 was considered statistically significant.

Results

In total, 578 residents from 33 RVs were recruited (72.7% female, median age 81.6 years (interquartile range 76.4–86.6)). Almost all participants self-reported European ethnicity (n = 558; 96.5%), with other ethnicities including Asian (n = 8; 1.4%), Māori (n = 7; 1.2%) and Pacific peoples (n = 1; 0.02%). The sociodemographic and health profiles of residents recruited are available elsewhere.11

Participants were taking a mean of 4.8 regular medicines (range = 0–13; s.d. = 2.9), and 0.7 ‘as required’ medicines (range = 0–6; s.d. = 1.0). Age and gender were not statistically significantly associated with number of medicines or the proportion with polypharmacy/hyperpolypharmacy (Supplementary Table S2).

The most common medicine class was antihypertensive followed by lipid- lowering (Table 1). Lipid-lowering therapy and antiplatelet therapy were used for primary prevention of cardiovascular disease (ie no history of cardiovascular disease) in 29.6% and 21.4% of cases, respectively (Supplementary Table S3). Regular analgesics were taken by 16.1% of the participants, with a further 13.3% having taken an ‘as required’ analgesic in the 72 h prior to assessment.

Table 1.Prevalence of regular medicine use.

Medicines classNo. of residents n (%)
Total578 (100)
Antihypertensive (any)396 (68.5)
 1 antihypertensive198 (34.3)
 2 antihypertensives124 (21.5)
 3 or more antihypertensives74 (12.8)
Lipid-loweringA261 (45.2)
AntacidB228 (39.4)
Antiplatelet219 (37.9)
Prescribed vitamin or mineral140 (24.2)
Diuretic124 (21.5)
Antidepressant120 (20.8)
Analgesic93 (16.1)
 Strong opioid10 (1.7)
 Codeine or tramadol6 (1.0)
 Non-steroidal anti-inflammatory drugs (NSAID) or Cyclooxygenase-2 (COX-2) inhibitor38 (6.6)
 Paracetamol44 (7.6)
Anticoagulant79 (13.7)
Hypoglycaemic57 (9.9)
Hypnotic (includes benzodiazepines and zopiclone)57 (9.9)
Thyroid-related56 (9.7)
Laxative46 (8.0)
Gout prophylaxis37 (6.4)
UrologicalsC34 (5.9)
Glaucoma eyedrops32 (5.5)
Inhaled respiratory31 (5.4)
Anti-epileptic28 (4.8)
Bisphosphonates27 (4.7)
Anti-arrhythmic25 (4.3)
Oral steroids24 (4.2)
Antihistamine23 (4.0)
Anti-Parkinsonian15 (2.6)
‘Triple whammy’D9 (1.2)
Neuroleptics6 (1.0)
Cognitive enhancers4 (0.7)
A Of those on lipid-lowering therapy, n = 252 (96.6%) were on statin treatment and the rest were on bezafibrate or ezetimibe (n = 9; 3.4%), and 43.6% of the total sample were taking statins.
B Of those on antacid treatment, n = 216 (94.7%) were on proton pump inhibitors and 37.4% of the total sample were taking proton pump inhibitors.
C Of those on urologicals, n = 26 (4.5%) were on drugs for urinary frequency and incontinence and n = 8 (1.4%) were on testosterone-5-alpha reductase inhibitors.
D ‘Triple whammy’ = combination of a NSAID or COX-2 inhibitor AND Angiotensin-converting enzyme (ACE)-inhibitor or angiotensin-receptor-blocker AND diuretic (increases risk of renal failure in older adults).12

Discussion

This is the first large-scale study of medicine use and polypharmacy in RV residents in NZ. The prevalence of polypharmacy in our study was not significantly different between age groups, in contrast to the general NZ older adult population where polypharmacy rates increase linearly across the age ranges.12 This finding suggests RV residents may have similar medicine-related needs as a cohort, independent of age, compared to community-dwelling older adults.12 The prevalence of polypharmacy in our study was higher than that for the general NZ population of a similar age (51.2% compared to 41.9%, respectively12), but closer to Australian RV data (51.2 and 46.7%, respectively13). The higher prevalence of polypharmacy in RV residents means they may be at more risk of ADRs and have greater need for medicines-related support than the general older adult population, which is supported by other research demonstrating high levels of unmet health needs in RV residents.11 Polypharmacy may, however, be appropriate to treat multiple long-term conditions and hence there is ever increasing attention paid to the concept of ‘inappropriate’ polypharmacy, whereby medicines are prescribed in excess of therapeutic need, or in ways that are harmful.14 There are a number of medicine classes that are known to increase the risk of adverse drug events in older people, including hypnotics, antipsychotics, hypoglycaemics and anticoagulants,15 which all featured in our current study. Hypnotics are associated with increased risk of confusion, muscle weakness, and falls, which impact older people to a greater extent than younger people, and in our study, these were prescribed at similar rates as those seen in the general 75+ years population in NZ.16 Combinations of medicines, such as a non-steroidal anti-inflammatory drug in combination with a diuretic and ACE inhibitor/angiotensin receptor blockers, otherwise known as the ‘triple whammy’, also increase the risk of adverse outcome. The 'triple whammy' was presented in just over 1% of our study cohort and, although the numbers are low, there is significant risk of acute kidney injury with the concomitant use of these medicines17 and these should be avoided wherever possible. In contrast, some medicine classes such as proton pump inhibitors, which were used by 37.4% of our study population, can cause adverse effects from chronic use.15 Prolonged use of proton pump inhibitors in older people can increase the risk of osteoporotic fractures, cause vitamin B12 deficiency and increase the risk of community-acquired pneumonia and Clostridium difficile infection,18 and regular review is required to prevent ongoing inappropriate use. The complex nature of medicine use in older age highlights the need for medicine reviews. These should be undertaken on an individual basis to understand the clinical and social contexts in which medicines have been prescribed, and therefore whether medicines are appropriate for that individual.

Statins have been shown to increase all-cause mortality when used for primary prevention of cardiovascular disease in older people (65–74 years),19 which is particularly relevant in our study where almost one-third of residents were taking a statin for primary prevention. Recommendations to stop aspirin for primary cardiovascular prevention and to stop statins for primary cardiovascular prevention in persons aged >85 years and those with frailty with a life expectancy <3 years has been added to the newly updated Screening tool of older people's prescriptions (STOPP) and screening tool to alert to right treatment (START) criteria, an internationally recognised screening tool for appropriate prescribing in older adults.15 The use of statins for primary prevention in older people remains a contested topic,20 particularly when employing an explicit age cut-off, and needs to be reviewed on an individual basis. Our recently published study described changes to medicines made as part of a randomised controlled trial of a comprehensive multidisciplinary team review in the retirement village setting.21 We identified that <40% of recommended medicine changes aligned with STOPP/START criteria,15 highlighting the need for medicine reviews with RV residents to take into account the context of their individual co-morbidities, prognosis and goals.

Strengths and limitations

Investigation in an understudied population and in-person, facilitated data collection were strengths of this study. Use of self-reported data from a single source is a limitation and has been demonstrated to lead to under-reporting. Almost all participants were of European ethnicity, which is likely to reflect the actual population of RVs,11 but is incongruent with the general older adult population in NZ. We were not able to demonstrate statistically significant associations between polypharmacy/hyperpolypharmacy and age or gender; however, low numbers in disaggregated data may have prevented adequate interrogation of potential associations. Only medicine use in the last 72 h is reported in interRAI and may have affected data completeness.

Conclusion

Hyperpolypharmacy and cardiovascular medicines for primary prevention, as well as other known high-risk medicines, provide potential targets for further investigation to improve the health outcomes for people living in RVs, particularly in the case of high rates of statin use for primary prevention of cardiovascular disease in this cohort.

Supplementary material

Supplementary material is available online.

Data availability

Data are not available as ethical approval was not granted for data to be used for by those outside the research team.

Conflicts of interest

The authors have no competing interests to declare.

Declaration of funding

The study was funded by a New Zealand National Science Challenge – Ageing Well grant (‘Project F’ – UOOX1508, 12815/1, SUB1301), and by the Waitematā District Health Board (WDHB). The funders had no input into the design, execution or reporting of the study.

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