Medication-related quality of life (MRQoL) in ambulatory older adults with multi-morbidity and polypharmacy

Measuring Quality of Life in Deprescribing Trials: A Scoping Review

BACKGROUND

Quality of life (QoL) is an important outcome to capture in clinical trials evaluating deprescribing interventions.

OBJECTIVE

We aimed to conduct a scoping review to examine how QoL has been measured in deprescribing trials among older people and identify potentially relevant QoL scales, to better inform QoL measurement in future deprescribing trials.

METHODS

We searched MEDLINE, Embase, PsycINFO, the Cochrane Central Register of Controlled Trials, Google Scholar, Epistemonikos, ClinicalTrials.gov, and reference lists of eligible studies (from inception to October 2023). We included randomized and non-randomized comparative studies with a control group that evaluated deprescribing and polypharmacy reduction interventions in people ≥ 65 years of age and measured QoL as an outcome. We also included studies describing the development and validation of QoL scales related to deprescribing, polypharmacy, or medication burden in adults ≥ 18 years of age. Two independent reviewers screened titles and abstracts, then full texts. Two independent reviewers extracted data from 25% of eligible studies in order to verify agreement, then a single reviewer extracted data from the remaining studies, which a second reviewer cross-checked. We critically appraised scales based on the COSMIN checklist.

RESULTS

We retrieved 7290 articles, of which 52 were eligible for inclusion, including 44 deprescribing trials and eight scale development studies. From these studies, we found 21 scales that have been used in the context of deprescribing/polypharmacy (12 generic scales used in clinical trials and nine medication-specific scales). Variations of the generic EQ-5D were the most used scales. The measurement properties of scales for capturing changes in QoL from deprescribing were uncertain. Medication-specific QoL scales have not been employed in deprescribing clinical trials and thus, their performance in this context is also not clear.

CONCLUSIONS

Several existing QoL scales have been applied to the context of deprescribing/polypharmacy clinical trials, and new scales specific to the problem have been proposed. If deprescribing does impact QoL, our findings suggest it is uncertain whether existing QoL scales can practically and reliably capture such a change or whether any scale is best. However, this review compares various aspects of the scales that researchers and clinicians can consider in decisions about measuring QoL in deprescribing trials, and in planning future research.

PROTOCOL REGISTRATION

Open Science Framework: osf.io/aez6w.

Interventions to improve the appropriate use of polypharmacy for older people

BACKGROUND

Inappropriate polypharmacy is a particular concern in older people and is associated with negative health outcomes. Choosing the best interventions to improve appropriate polypharmacy is a priority, so that many medicines may be used to achieve better clinical outcomes for patients. This is the third update of this Cochrane Review.

OBJECTIVES

To assess the effects of interventions, alone or in combination, in improving the appropriate use of polypharmacy and reducing medication-related problems in older people.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, CINAHL and two trials registers up until 13 January 2021, together with handsearching of reference lists to identify additional studies. We ran updated searches in February 2023 and have added potentially eligible studies to 'Characteristics of studies awaiting classification'.

SELECTION CRITERIA

For this update, we included randomised trials only. Eligible studies described interventions affecting prescribing aimed at improving appropriate polypharmacy (four or more medicines) in people aged 65 years and older, which used a validated tool to assess prescribing appropriateness. These tools can be classified as either implicit tools (judgement-based/based on expert professional judgement) or explicit tools (criterion-based, comprising lists of drugs to be avoided in older people).

DATA COLLECTION AND ANALYSIS

Four review authors independently reviewed abstracts of eligible studies, and two authors extracted data and assessed the risk of bias of the included studies. We pooled study-specific estimates, and used a random-effects model to yield summary estimates of effect and 95% confidence intervals (CIs). We assessed the overall certainty of evidence for each outcome using the GRADE approach.

MAIN RESULTS

We identified 38 studies, which includes an additional 10 in this update. The included studies consisted of 24 randomised trials and 14 cluster-randomised trials. Thirty-six studies examined complex, multi-faceted interventions of pharmaceutical care (i.e. the responsible provision of medicines to improve patients' outcomes), in a variety of settings. Interventions were delivered by healthcare professionals such as general physicians, pharmacists, nurses and geriatricians, and most were conducted in high-income countries. Assessments using the Cochrane risk of bias tool found that there was a high and/or unclear risk of bias across a number of domains. Based on the GRADE approach, the overall certainty of evidence for each pooled outcome ranged from low to very low. It is uncertain whether pharmaceutical care improves medication appropriateness (as measured by an implicit tool) (mean difference (MD) -5.66, 95% confidence interval (CI) -9.26 to -2.06; I2 = 97%; 8 studies, 947 participants; very low-certainty evidence). It is uncertain whether pharmaceutical care reduces the number of potentially inappropriate medications (PIMs) (standardised mean difference (SMD) -0.19, 95% CI -0.34 to -0.05; I2 = 67%; 9 studies, 2404 participants; very low-certainty evidence). It is uncertain whether pharmaceutical care reduces the proportion of patients with one or more PIM (risk ratio (RR) 0.81, 95% CI 0.68 to 0.98; I2 = 84%; 13 studies, 4534 participants; very low-certainty evidence). Pharmaceutical care may slightly reduce the number of potential prescribing omissions (PPOs) (SMD -0.48, 95% CI -1.05 to 0.09; I2 = 92%; 3 studies, 691 participants; low-certainty evidence), however it must be noted that this effect estimate is based on only three studies, which had serious limitations in terms of risk of bias. Likewise, it is uncertain whether pharmaceutical care reduces the proportion of patients with one or more PPO (RR 0.50, 95% CI 0.27 to 0.91; I2 = 95%; 7 studies, 2765 participants; very low-certainty evidence). Pharmaceutical care may make little or no difference to hospital admissions (data not pooled; 14 studies, 4797 participants; low-certainty evidence). Pharmaceutical care may make little or no difference to quality of life (data not pooled; 16 studies, 7458 participants; low-certainty evidence). Medication-related problems were reported in 10 studies (6740 participants) using different terms (e.g. adverse drug reactions, drug-drug interactions). No consistent intervention effect on medication-related problems was noted across studies. This also applied to studies examining adherence to medication (nine studies, 3848 participants).

AUTHORS' CONCLUSIONS

It is unclear whether interventions to improve appropriate polypharmacy resulted in clinically significant improvement. Since the last update of this review in 2018, there appears to have been an increase in the number of studies seeking to address potential prescribing omissions and more interventions being delivered by multidisciplinary teams.

Prevalence of polypharmacy and medication-related quality of life among adult patients in Al-Ahsa, Saudi Arabia

Polypharmacy, often defined as the concurrent use of five or more medications, has become increasingly common due to various factors, including shifts in lifestyle and a rise in health-related issues among individuals. However, using multiple medications could bring more issues to the patient, as it is linked to poor health outcomes, including medication nonadherence, adverse pharmacological effects, and decreased quality of life (QoL). This study aimed to determine the prevalence of polypharmacy and identify drug-related problems among adult patients in Al-Ahsa. A cross-sectional study was conducted among adult patients living in Al-Ahsa, Saudi Arabia, taking five or more medications. A self-administered questionnaire was distributed among the target population using an online survey. The questionnaire included sociodemographic data (i.e., age, sex, education, etc.), a questionnaire to assess behaviors regarding the use of polypharmacy, and a 10-item questionnaire to measure medication-related quality of life (MRQoL). In total, 196 of the 1,088 patients surveyed took five or more medications, indicating an 18% prevalence of polypharmacy. Among the 196 patients, 26.5% reported poor medication-related QoL. In univariate analysis, sex, occupational status, average monthly income, hypertension, asthma, difficulty managing medications, and side effects experienced were significantly associated with MRQoL. Independent significant predictors of poor MRQoL were having asthma and difficulty managing medications. The prevalence of poor medication-related quality of life among adult patients in our region was 26.5%, lower than that in previous studies. Poor MRQoL was associated with lower monthly income, hypertension, asthma, side effects, and difficulty managing medications.

Correlation between the number of patient-reported adverse events, adverse drug events, and quality of life in older patients: an observational study

BACKGROUND

Previous studies on medication therapy management services, e.g. medication reconciliation and medication review, do not show consistent improvements in patient's health-related quality of life. However, these services can reduce adverse drug events.

AIM

To evaluate the correlation between health-related quality of life and adverse events/adverse drug events reported by patients.

METHOD

Older patients (≥ 65 years) with polypharmacy (≥ 5 medicines) admitted to orthopaedic or surgical wards were included. Patients were contacted post-discharge to evaluate patient-reported adverse events, health-related quality of life using the EuroQol questionnaire and self-perceived health status on a 5-point Likert scale. The outcomes were the correlation between health-related quality of life and the number of adverse events/adverse drug events, and potential predictors for these events. Spearman correlation and Poisson regression were used for data analysis.

RESULTS

102 patients were included. The correlation between health-related quality of life and adverse events was weak but significant (Spearman correlation coefficient: - 0.328, p = 0.001). No correlation was found for adverse drug events (- 0.064, p = 0.521). Self-perceived health status was a predictor for adverse events, not for adverse drug events. Health-related quality of life was neither a predictor for adverse events, nor for adverse drug events.

CONCLUSION

The correlation between the number of patient-reported adverse events, adverse drug events and health-related quality of life measured by the EuroQol was weak. There is a need for a questionnaire that includes the impact of medication use and is sensitive to outcomes that are affected by medication therapy management services.