Proposal for a Global Adherence Scale for Acute Conditions (GASAC): A prospective cohort study in two emergency departments

Experiences of occupational nurses regarding non-adherent mineworkers with chronic illnesses

Background

Occupational nurses continue to provide service to mineworkers diagnosed with chronic illnesses, however, non-adherence to medication is prevalent, cause overcrowding, long queues and admission at hospitals as they become sick.

Aim

This study aimed to describe the experience of occupational nurses (ONs) regarding non-adherence to medication among mineworkers diagnosed with chronic illnesses.

Setting

The study was conducted at a selected mine in Gauteng province, South Africa.

Methods

A qualitative, exploratory, descriptive design that is contextual in nature, was used with a phenomenological approach. Thirteen ONs were purposively sampled and individual face-to-face interviews were conducted until data saturation was reached. Thematic analysis using ATLAS.ti 24 software was applied to analyse the data collected. The researcher and the independent coder held a consensus discussion and agreed on the themes and the sub-themes.

Results

Two themes and various sub-themes emerged along with Care-related challenges linked to the mineworkers and challenges related to the provision of service to mineworkers. Data analysed indicated that the ONs had varying but often similar perspectives regarding non-adherence to medication among mineworkers diagnosed with chronic illnesses.

Conclusion

Non-adherence to medication is prevalent among mineworkers diagnosed with chronic illnesses and improving the mineworkers' outcomes requires addressing the issue of non-adherence to primary medication.

Contribution

This study highlights the importance of adhering to prescribed medication among mineworkers diagnosed with chronic illnesses to ensure quality of life.

Medication nonadherence: health impact, prevalence, correlates and interventions

Nonadherence to medicines is a global problem compromising health and economic outcomes for individuals and society. This article outlines how adherence is defined and measured, and examines the impact, prevalence and determinants of nonadherence. It also discusses how a psychosocial perspective can inform the development of interventions to optimise adherence and presents a series of recommendations for future research to overcome common limitations associated with the medication nonadherence literature. Nonadherence is best understood in terms of the interactions between an individual and a specific disease/treatment, within a social and environmental context. Adherence is a product of motivation and ability. Motivation comprises conscious decision-making processes but also from more 'instinctive', intuitive and habitual processes. Ability comprises the physical and psychological skills needed to adhere. Both motivation and ability are influenced by environmental and social factors which influence the opportunity to adhere as well as triggers or cues to actions which may be internal (e.g. experiencing symptoms) or external (e.g. receiving a reminder). Systematic reviews of adherence interventions show that effective solutions are elusive, partly because few have a strong theoretical basis. Adherence support targeted at the level of individuals will be more effective if it is tailored to address the specific perceptions (e.g. beliefs about illness and treatment) and practicalities (e.g. capability and resources) influencing individuals' motivation and ability to adhere.

Patient-reported outcome measures to detect intentional, mixed, or unintentional non-adherence to medication: a systematic review

OBJECTIVE

To categorise patient-reported outcome measures (PROMs) into their propensity to detect intentional and/or unintentional non-adherence to medication, and synthesise their psychometric properties.

DESIGN

Systematic review and regression analysis.

ELIGIBILITY

Medication adherence levels studied at primary, secondary and tertiary care settings. Self-reported measures with scoring methods were included. Studies without proxy measures were excluded.

DATA SOURCES

Using detailed searches with key concepts including questionnaires, reliability and validity, and restricted to English, MEDLINE, EMBASE, CINAHL, International Pharmaceutical Abstracts, and Cochrane Library were searched until 01 March 2022. Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA-2020) checklist was used.

DATA ANALYSIS

Risk of bias was assessed via COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN-2018) guidelines. Narrative synthesis aided by graphical figures and statistical analyses.

OUTCOME MEASURES

Process domains [behaviour (e.g., self-efficacy), barrier (e.g., impaired dexterity) or belief (e.g., perception)], and overall outcome domains of either intentional (I), unintentional (UI), or mixed non-adherence.

RESULTS

Paper summarises evidence from 59 studies of PROMs, validated among patients aged 18-88 years in America, the United Kingdom, Europe, Middle East, and Australasia. PROMs detected outcome domains: intentional non-adherence, n=44 (I=491 criterion items), mixed intentionality, n=13 (I=79/UI=50), and unintentional, n=2 (UI=5). Process domains detected include belief (383 criterion items), barrier (192) and behaviour (165). Criterion validity assessment used proxy measures (biomarkers, e-monitors), and scoring was ordinal, dichotomised, or used Visual Analogue Scale. Heterogeneity was revealed across psychometric properties (consistency, construct, reliability, discrimination ability). Intentionality correlated positively with negative beliefs (r(57)=0.88) and barriers (r(57)=0.59). For every belief or barrier criterion-item, PROMs' aptitude to detect intentional non-adherence increased by β=0.79 and β=0.34 units, respectively (R2=0.94). Primary care versus specialised care predicted intentional non-adherence (OR 1.9; CI 1.01 to 2.66).

CONCLUSIONS

Ten PROMs had adequate psychometric properties. Of the ten, eight PROMs were able to detect total, and two PROMs were able to detect partial intentionality to medication default. Fortification of patients' knowledge and illness perception, as opposed to daily reminders alone, is most imperative at primary care levels.