Complexity of Medicine Regimens and Patient Perception of Medicine Burden

Krska, Janet; Corlett, Sarah; Katusiime, Barbra

doi:10.3390/pharmacy7010018

Cited by 23 publications

(34 citation statements)

References 19 publications

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“…Several studies identified very high positive correlations between medication count and the MRCI, with r values of 0.9 and greater. 8,14,23 Our correlation result concurs with these findings.…”

Section: Discussionsupporting

confidence: 91%

Medication Regimen Complexity Index Prediction of Adverse Drug Reaction–Related Hospital Admissions

et al. 2020

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Background: The relationship between the medication regimen complexity index (MRCI) and adverse drug reaction (ADR)-related hospital admissions has not yet specifically been investigated. Objective: To evaluate the MRCI and compare with medication count for prediction of ADR-related hospital admissions in older patients. Methods: This was a retrospective analysis of a prospectively collected convenience sample of 768 unplanned medical admissions of Australians aged 65 years old and older. The sample consisted of 115 (15.0%) ADR-related unplanned hospital admissions and 653 (85.0%) non–ADR-related unplanned medical admissions. The MRCI score was calculated from the medical records and analyzed to predict ADR-related hospital admissions. Results: The cohort had a median age of 81 years, 5 comorbidities, and 11 medications, with a slight majority of women. The MRCI score was not significantly different in patients who had ADR-related admissions compared with other medical admissions—38.5 versus 34.0, respectively; Wilcoxon Rank Sum test W = 33 522; P = 0.067. The medication count was significantly different between the ADR-related admissions compared with other medical admissions: 12 versus 10; W = 32 508; P = 0.021. However, the medication count was not a strong predictor of ADR-related admissions; unadjusted odds ratio = 1.044; 95% CI = 1.006-1.084. Conclusion and Relevance: The MRCI score did not discriminate between ADR-related admissions and other medical admissions despite taking time to calculate with potential for inconsistent application. Medication count is more readily applicable with marginally greater relevance in this cohort; however, both measures do not appear to be useful when used alone for clinicians to identify patients at risk of ADRs.

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Section: Discussionsupporting

confidence: 91%

Medication Regimen Complexity Index Prediction of Adverse Drug Reaction–Related Hospital Admissions

et al. 2020

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“…In Kuwait, a study performed among elderly patients in primary healthcare centers identified that 72.1% were using ≥ 5 medications, 69.5% had ≥ 3 NCDs, and over 50% were taking potentially inappropriate medications that may increase the risk of adverse clinical outcomes among these patients ( Awad and Hanna, 2019 ). Most of the published literature interpreted the biomedical perspective of medication-related burden (MRB) as the number of medications or pills taken daily by individual patients for the treatment of their diseases, disregarding the patient’s crucial perspectives ( Krska et al, 2014 ; Krska et al, 2019 ). Published systematic reviews revealed that several patients had negative views toward medicines, with some refusing to use medications due to their concerns about adverse effects or dependence.…”

Section: Introductionmentioning

confidence: 99%

Medication-Related Burden and Medication Adherence Among Geriatric Patients in Kuwait: A Cross-Sectional Study

2020

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The evaluation of medicines burden from the patients' perspectives is a crucial endeavor to identify any barriers that may hinder achieving optimal health outcomes. Therefore, this study was designed, firstly to identify the prevalence of medication-related burden among geriatrics and factors influencing this burden. Secondly, to determine the prevalence of medication adherence and the correlation between the burden and adherence. A crosssectional study was performed using Living with Medicines Questionnaire version-3 (LMQ-3) and Adherence to Refills and Medications Scale (ARMS) questionnaire. Four hundred and fifty patients attending primary healthcare centers were invited to participate, and 424 (94.2%) agreed. Data were collected via face-to-face structured interviews. The vast majority of respondents (97.4%; 95% CI: 95.3-98.6) perceived to suffer from minimum (35.4%) to moderate (62.0%) degrees of medicine burden. The median (IQR) LMQ overall score was 112 (21) indicating a moderate burden. LMQ-3 overall scores revealed a significant trend toward higher perceived burden among respondents aged ≥ 75 years, males, non-Kuwaitis, residents in Al-Farwaniyah and Al-Jahra governorates, using oral and nonoral formulations, paying prescription charges, and needing support with using medicines (p <0.05). Almost 55% (95% CI: 49.8-59.5) of respondents were nonadherent to their medications. The median (IQR) ARMS overall score was 20 (7.0) indicating low adherence to medications. There was a significant positive correlation between LMQ-3 and ARMS scores (p<0.001) showing that the higher the medications burden the lower the level of medication adherence. The key findings of this study underscore the need for multifaceted interventions that could be targeted at the identified problems to reduce medication burden and improve medication adherence.

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“…It has been validated, refined and revised and is now the LMQ-3 19. This tool has been used in the UK and other countries to examine people’s experiences of using medicines, and has been translated into other languages 8,9,19–22…”

Section: Introductionmentioning

confidence: 99%

<p>Exploring Medicines Burden Among Adults in New Zealand: A Cross-Sectional Survey</p>

Tordoff¹,

Brenkley²,

Krska³

et al. 2019

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BackgroundUsing medicines regularly can be a burden for some people and can contribute to reduced adherence. In New Zealand, relatively few studies have examined people’s medicine-taking experiences and most involved older people, although medicine burden is also an issue for younger people. The UK-developed “Living with Medicines Questionnaire” (LMQ-3) is an instrument designed to quantify medicine burden.ObjectiveThe objective was to quantify medicines burden among New Zealand adults, using the LMQ-3, to identify any sub-populations with high medicine burden and to identify specific issues that may need to be addressed.SettingThe study was set in New Zealand and included seven national patient support group websites, and five community pharmacies in Dunedin.MethodsThe survey was distributed to adults ≥18 years using ≥ one medicine for ≥3 months. LMQ-3 scores and domain scores were compared by patient characteristics using descriptive statistics and statistical tests.ResultsIn total, 472 responses were analysed: 327/417 (78.4%) from patient support group websites and 145/360 (40.3%) from community pharmacies. Most commonly participants were female (295, 62.5%), ≥65 years (236, 50.0%), European (422, 89.4%), retired (232, 49.2%), university educated (203, 43.0%), used medicines independently (449, 95.1%), and paid for prescriptions (429, 90.9%). Most used <10 medicines (415, 87.9%) and

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Complexity of Medicine Regimens and Patient Perception of Medicine Burden

Cited by 23 publications

References 19 publications

Medication Regimen Complexity Index Prediction of Adverse Drug Reaction–Related Hospital Admissions

Medication Regimen Complexity Index Prediction of Adverse Drug Reaction–Related Hospital Admissions

Medication-Related Burden and Medication Adherence Among Geriatric Patients in Kuwait: A Cross-Sectional Study

<p>Exploring Medicines Burden Among Adults in New Zealand: A Cross-Sectional Survey</p>

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