Developing a model of the determinants of medication nonadherence in older community-dwelling patients

Consumers' self-reported adherence to directions for non-prescription medicines and the role of risk perception

BACKGROUND

Non-prescription medicines (NPMs), while relatively safe, are responsible for a small but significant proportion of medication misadventure and inappropriate use may lead to avoidable healthcare cost. Some consumers vary their use of NPMs from the directions provided on packaging or advice from healthcare professionals. Consumers may use NPMs at lower doses or less frequently than directed because of the risk of side effects.

PURPOSE

This study aimed to develop and validate a self-report measure for the extent to which consumers' follow directions (FDs) for NPMs. Secondly, it aimed to explore the relationship between risk perception towards NPMs and following directions.

METHODS

A cross-sectional study was administered online to participants who belong to an Australian agency which conducts consumer research. Participants were Australian adults who had used NPMs within the last month. Items for the FD-NPM scale were developed and validated. Exploratory factor analysis and confirmatory factor analysis were used to validate the FD-NPM scale. Structural equation modelling (SEM) was employed to explore the relationships between risk perception, covariates, and FDs.

RESULTS

There were 403 participants recruited. Less than 20% "always" or "often" self-reported following directions for dose, frequency, or duration of use. Factor analyses confirmed that there are two moderately positively correlated dimensions of FD-NPM (r = 0.46), which were named underuse and overuse. That is, consumers who self-reported underuse of non-prescription medicines were also more likely to self-report overuse. Consumers with high-risk perception towards NPMs, those who were younger and those who were more educated had a greater tendency to not follow directions.

CONCLUSION

A new self-report measure, the FD-NPM scale was developed and validated. That people who perceives NPMs to be harmful, tend to underuse and more concerningly, overuse them, is of great interest to clinicians and policymakers who are required to manage risk communications.

An Adaptable Framework for Factors Contributing to Medication Adherence: Results from a Systematic Review of 102 Conceptual Frameworks

OBJECTIVE

To summarize the available conceptual models for factors contributing to medication adherence based on the World Health Organization (WHO)'s five dimensions of medication adherence via a systematic review, identify the patient groups described in available conceptual models, and present an adaptable conceptual model that describes the factors contributing to medication adherence in the identified patient groups.

METHODS

We searched PubMed®, Embase®, CINAHL®, and PsycINFO® for English language articles published from inception until 31 March 2020. Full-text original publications in English that presented theoretical or conceptual models for factors contributing to medication adherence were included. Studies that presented statistical models were excluded. Two authors independently extracted the data.

RESULTS

We identified 102 conceptual models, and classified the factors contributing to medication adherence using the WHO's five dimensions of medication adherence, namely patient-related, medication-related, condition-related, healthcare system/healthcare provider-related, and socioeconomic factors. Eight patient groups were identified based on age and disease condition. The most universally addressed factors were patient-related factors. Medication-related, condition-related, healthcare system-related, and socioeconomic factors were represented to various extents depending on the patient group. By systematically examining how the WHO's five dimensions of medication adherence were applied differently across the eight different patient groups, we present a conceptual model that can be adapted to summarize the common factors contributing to medication adherence in different patient groups.

CONCLUSION

Our conceptual models can be utilized as a guide for clinicians and researchers in identifying the facilitators and barriers to medication adherence and developing future interventions to improve medication adherence.

PROTOCOL REGISTRATION

PROSPERO Identifier: CRD42020181316.

An Update on Medication Use in Older Adults: a Narrative Review

Purpose of Review

The global phenomenon of population aging is impacting the health and care needs of society. The use of medications by older adults is acknowledged to be the most common form of medical intervention for many acute and chronic conditions and prescribing in this population continues to increase. In this narrative review, we summarise the age-related factors that should be considered when prescribing for older adults, address some of the perennial challenges related to medicine use in older people, and highlight important emerging research in this area.

Recent Findings

A range of age-related factors should be considered when prescribing for older adults. However, the evidence base still lacks data pertaining to older adults due to their continued under-representation in clinical trials. Multimorbidity, polypharmacy, and inappropriate prescribing continue to remain prevalent among older adults, although recent research has been focused on the development and evaluation of complex interventions to address these challenges.

Summary

Further high-quality studies of interventions to improve and support medication use in older adults are needed, ensuring that older adults are well represented in such trials and consideration is given to the measurement of patient- and provider-focused outcomes.

Development of an Item Bank to Measure Medication Adherence: Systematic Review

Background

Medication adherence is important in managing the progression of chronic diseases. A promising approach to reduce cognitive burden when measuring medication adherence lies in the use of computer‐adaptive tests (CATs) or in the development of shorter patient-reported outcome measures (PROMs). However, the lack of an item bank currently hampers this progress.

Objective

We aim to develop an item bank to measure general medication adherence.

Methods

Using the preferred reporting items for systematic review and meta-analysis (PRISMA), articles published before October 2019 were retrieved from PubMed, Embase, CINAHL, the Cochrane Library, and Web of Science. Items from existing PROMs were classified and selected (“binned” and “winnowed”) according to standards published by the Patient-Reported Outcomes Measurement Information System (PROMIS) Cooperative Group.

Results

A total of 126 unique PROMs were identified from 213 studies in 48 countries. Items from the literature review (47 PROMs with 579 items for which permission has been obtained) underwent binning and winnowing. This resulted in 421 candidate items (77 extent of adherence and 344 reasons for adherence).

Conclusions

We developed an item bank for measuring general medication adherence using items from validated PROMs. This will allow researchers to create new PROMs from selected items and provide the foundation to develop CATs.

Patient Centric Pharmaceutical Drug Product Design-The Impact on Medication Adherence

Medication adherence is a growing concern for public health and poor adherence to therapy has been associated with poor health outcomes and higher costs for patients. Interventions for improving adherence need to consider the characteristics of the individual therapeutic regimens according to the needs of the patients. In particular, geriatric and paediatric populations as well as dermatological patients have special needs/preferences that should be considered when designing drug products. Patient Centric Drug Product Pharmaceutical Design (PCDPD) offers the opportunity to meet the needs and preferences of patients. Packaging, orodispersible formulations, fixed dose combinations products, multiparticulate formulations, topical formulations and 3D printing are of particular relevance in a PCDPD process. These will be addressed in this review as well as their impact on medication adherence.