Development of a PATIENT-Medication Adherence Instrument (P-MAI) and a HEALTHCARE PROFESSIONAL-Medication Adherence Instrument (H-MAI) using the nominal group technique

Development of an Inflammatory Bowel Disease-Specific Medication Adherence Instrument and Reasons for Non-adherence

BACKGROUND

Medication adherence impacts disease control in inflammatory bowel disease (IBD). Existing adherence measures such as the Morisky Medication Adherence Scale 8^© are often costly, non-medication-specific, and time-consuming.

AIMS

We aimed to develop a non-proprietary, IBD-specific medication adherence instrument and to assess reasons for suboptimal medication adherence.

METHODS

We developed the IBD Medication Adherence Tool to assess frequency of adherence and indications for missed or delayed medication doses. We co-administered the IBD Medication Adherence Tool and the Morisky Medication Adherence Scale 8^© (licensed for use) to participants enrolled in an internet-based cohort of adults with IBD and taking least one daily, oral IBD medication. We used Spearman's correlation to evaluate associations between the IBD Medication Adherence Tool and Morisky Medication Adherence Scale 8^©. We then categorized patients as sub-optimally adherent (IBD Medication Adherence Tool score 1-4) and highly adherent (score 5) and evaluated factors associated with and reasons for suboptimal adherence using multivariable analysis.

RESULTS

We evaluated 514 patients (73% female, mean age 49), of whom 21.4% had suboptimal adherence. IBD Medication Adherence Tool scores were moderately correlated with Morisky Medication Adherence Scale 8^© (r = 0.56, p < 0.001). The most commonly reported reasons for suboptimal adherence were forgetting, feeling well, and cost. Younger age and current smoking were associated with suboptimal adherence.

CONCLUSIONS

We developed a non-proprietary, IBD-specific tool to assess adherence to IBD medications, validated in a cohort of patients with IBD on daily, oral medications. Common reasons for suboptimal IBD medication adherence include forgetting, feeling well, and cost.

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.

Patient Preference for Biologic Treatments of Psoriasis in the Chinese Setting

OBJECTIVE

Assessments of patients' preferences can support in clinical decision-making regarding biologic therapies for psoriasis. Our objective was to investigate patient preference for biologic treatments in patients with psoriasis in China.

METHODS

From October 2020 to January 2021, psoriasis patients were recruited for a survey that included demographic and disease-related questions, as well as a discrete choice experiment to measure their preferences for biologic therapy. A discrete-choice experiment was used in which respondents selected psoriasis treatments based on benefits (ie, early onset of efficacy, long-term efficacy, sustained efficacy) and treatment costs. We analyzed choice data using conditional logit model.

RESULTS

This study included 236 patients with moderate-to-severe psoriasis. The relative importance of the cost of biologic treatments, probability of keeping PASI100 at 5 years, probability of achieving PASI100 at 3 months and time to achieve PASI50 after initiation the biologic treatment were 0.593, 0.137, 0.185 and 0.085. Over 50% of patients regarded the cost of biologic treatments as the most important attribute. High-income and low-income subgroups had higher preference weight in probability of achieving PASI100 at 3-month and monthly cost.

CONCLUSION

The cost of biologic treatments was found as the most important attribute for Chinese patients with psoriasis. Among efficacy attributes, the probability of achieving PASI100 at 3 months showed most sensitive. These results may be helpful to understand patient preference for biologic treatments used for psoriasis in China.

Medication Adherence of Persons with Type 2 Diabetes in Malaysia: A Scoping Review and Meta-Analysis

Objective

This is a scoping review of Malaysian scientific studies on medication adherence among persons with type 2 diabetes mellitus (T2DM).

Methodology

We conducted a bibliographic search of PubMed, Scopus and Google Scholar using the following keywords: "medication adherence," "drug compliance," "DMTAC" and "Malaysia." The search covered all publications up to 31 December 2021. Eligible articles were original studies conducted in Malaysia that measured or quantified medication adherence among persons with T2DM.

Results

We identified 64 eligible studies published between 2008 to 2021. Most studies included patients with T2DM in ambulatory facilities. Five studies were qualitative research. The quantitative research publications included clinical trials, and cross-sectional, validation, retrospective and prospective cohort studies. Thirty-eight studies used medication adherence scales. The Morisky Medication Adherence Scale (MMAS-8, used in 20 studies) and Malaysian Medication Adherence Scale (MALMAS, used in 6 studies) were the most commonly used tools. There were 6 validation studies with 4 medication adherence scales. A meta-analysis of 10 studies using MMAS-8 or MALMAS revealed that the pooled prevalence of low medication adherence is 34.2% (95% CI: 27.4 to 41.2, random effects model). Eighteen publications evaluated various aspects of the Diabetes Medication Therapy Adherence Clinics (DMTAC).

Conclusion

This scoping review documented extensive research on medication adherence among persons with diabetes in Malaysia. The quantitative meta-analysis showed a pooled low medication adherence rate.