OBJECTIVE: To develop an adherence prediction model for CKD patients.

METHODS: This multi-centre, cross-sectional study was conducted in 10 tertiary hospitals in Malaysia using simple random sampling of CKD patients with ≥1 medication (sample size = 1012). A questionnaire-based collection of patient characteristics, adherence (defined as ≥80% consumption of each medication for the past one month), and knowledge of each medication (dose, frequency, indication, and administration) was performed. Continuous data were converted to categorical data, based on the median values, and then stratified and analysed. An adherence prediction model was developed through multiple logistic regression in the development group (n = 677) and validated on the remaining one-third of the sample (n = 335). Beta-coefficient values were then used to determine adherence scores (ranging from 0 to 7) based on the predictors identified, with lower scores indicating poorer medication adherence.

OBJECTIVE: This study aimed at assessing the medication self-management capability of home-dwelling older adults with CF and exploring the ways, perceived challenges and barriers in medication self-management.

METHODS: A convergent mixed-method study design was used. The medication management capability of 16 CF individuals aged ≥ 60 years on ≥ 1 long-term prescription drugs were assessed using the Drug Regimen Unassisted Grading Scale (DRUGS). Virtual in-depth interviews were also performed between July-August 2022 using a semi-structured interview guide. All interviews were audio-recorded and transcribed verbatim. Qualitative data were analysed using a thematic analysis approach guided by Bailey and colleagues' model of medication self-management.

RESULTS: The mean DRUGS summary score was 96.86 [standard deviation (SD) 3.74] with highest performance scores observed in medication access (100 %) and lowest performance score in medication identification (91.46 %). Informants were able to independently take their medications and they tended to organise their medication intakes according to mealtime even though some admitted missing medication doses due to forgetfulness. Informants had difficulties with recalling drug names, with little awareness of self-monitoring their own health conditions and the effects of medications. Misconceptions towards medications, difficulties in accessing medications, reduced mobility and worsening health conditions could potentially deter informants from safe and independent medication self-management. In contrast, trust in doctors and a desire to achieve treatment goal could motivate medication self-management.

AIMS: To explore early career pharmacists' understanding of resilience, their strategies to enhance and maintain resilience as healthcare professionals and to identify resilience-fostering programmes they perceive could be implemented to support them.

METHODS: Three focus groups and 12 semi-structured interviews with a total of 15 hospital pharmacists and 10 community pharmacists (both less than 3 years post-registration) were conducted. An inductive thematic analysis of transcripts was performed to identify main themes and subthemes.

RESULTS: Pharmacists understood resilience as the capability to adapt to and learn from challenges and setbacks, which they can build through experience and exposure. Resilience in the workplace was challenged by their working environment and workload, which could lead to ego depletion, the transition from intern to registered pharmacist and working during the COVID-19 pandemic, which both added pressure and uncertainty to their role. Professional resilience was supported on individual, social and organisational levels and through self-care strategies. Pharmacists perceived mentorship and sharing experiences, experiential placements and constructive but challenging role play as potentially beneficial in building resilience during undergraduate studies and internship.

OBJECTIVE: The present study aims to assess medication use problems among older adults and explore the factors affecting them in primary healthcare settings.

METHODS: A mixed-method study was conducted to establish a baseline understanding of the perspectives and challenges faced by older adults, with regards to medication use. Translated Medication Use Questionnaire (MedUseQ), a patient-centered tool, was distributed to older adults above 60 in primary healthcare settings to assess their frequency of problems related to medication use. Fifteen semi-structured interviews were conducted to explore this topic in depth. Descriptive and inferential analyses were conducted with quantitative data. Interviews were transcribed verbatim, and thematic analysis was conducted. Quantitative and qualitative findings data were triangulated.

RESULTS: The study involved 393 participants. The most common problems with regards to medication use were polypharmacy (55.4%), administration difficulties (48.4%), limited awareness about adverse drug events (47.3%), issues with adherence (46.5%), and accessibility to primary healthcare (42.7%). Approximately 55% were satisfied with the older adult-centered medication use services by pharmacist and doctors. The qualitative findings showed that major factors affecting medication use were forgetfulness, language barriers, lack of awareness, transportation problems, long waiting times, and multiple visits to healthcare facilities.

METHODS: A systematic review of published and unpublished studies were carried out. Included studies described the development of explicit criteria for PIM use in older adults and provided a list of medications that should be considered inappropriate. PubMed, Medline, EMBASE, Cochrane CENTRAL, CINAHL, PsycINFO, and Scopus searches were conducted. The PIMs were analyzed according to the general conditions, disease-specific conditions, and drug-drug interaction classes. The qualities of the included studies were assessed using a nine-point evaluation tool. The kappa agreement index was used to evaluate the level of agreement between the identified explicit PIM tools.

RESULTS: The search yielded 1206 articles, and 15 studies were included in our analysis. Thirteen criteria were identified in East Asia and two in South Asia. Twelve out of the 15 criteria were developed using the Delphi method. We identified 283 PIMs independent of medical conditions and 465 disease-specific PIMs. Antipsychotics were included in most of the criteria (14/15), followed by tricyclic antidepressants (TCAs) (13/15), antihistamines (13/15), sulfonylureas (12/15), benzodiazepines (11/15), and nonsteroidal anti-inflammatory drug (NSAIDs) (11/15). Only one study fulfilled all the quality components. There was a low kappa agreement (k = 0.230) between the included studies.