This study proposes a practical and simple method of identifying patients who are at an increased risk of an ADR. This approach may be useful in clinical practice as a tool to identify patients at risk and in research to target a population that can benefit from interventions aimed to reduce drug-related illness.

BackgroundOlder patients are at an increased risk of developing adverse drug reactions (ADR). Of particular concern are the oldest old, which constitute an increasingly growing population. Having a validated clinical tool to identify those older patients at risk of developing an ADR during hospital stay would enable healthcare staff to put measures in place to reduce the risk of such an event developing. The current study aimed to (1) develop and (2) validate an ADR risk prediction model.MethodsWe used a combination of univariate analysis and multivariate binary logistic regression to identify clinical risk factors for developing an ADR in a population of older people from a UK teaching hospital. The final ADR risk model was then validated in a European population (European dataset).ResultsSix-hundred-ninety patients (median age 85 years) were enrolled in the development stage of the study. Ninety-five reports of ADR were confirmed by independent review in these patients. Five clinical variables were identified through multivariate analysis and included in our final model; each variable was attributed a score of 1. Internal validation produced an AUROC of 0.74, a sensitivity of 80%, and specificity of 55%. During the external validation stage the AUROC was 0.73, with sensitivity and specificity values of 84% and 43% respectively.ConclusionsWe have developed and successfully validated a simple model to use ADR risk score in a population of patients with a median age of 85, i.e. the oldest old. The model is based on 5 clinical variables (≥8 drugs, hyperlipidaemia, raised white cell count, use of anti-diabetic agents, length of stay ≥12 days), some of which have not been previously reported.

BackgroundOne of the major challenges in treating major depressive disorder (MDD) is patients’ non-adherence to medication. This study aimed to explore the barriers and facilitators of patients’ adherence to antidepressants among outpatients with MDD.MethodsSemi-structured and individual in-depth interviews were conducted among patients with MDD who were taking antidepressants, in the psychiatric clinic of a government-run hospital in Malaysia. Participants were purposively sampled from different genders and ethnicities. Interviews were conducted using a validated topic guide, and responses were audio-recorded, transcribed verbatim, checked, and analyzed using the grounded theory approach.ResultsA total of 30 patients were interviewed. Forty different themes and sub-themes were identified which were conceptually divided into two distinct categories related to barriers and facilitators to adherence. The barriers were: patient-specific, medication-specific, healthcare provision and system, social-cultural, and logistics. The facilitators were: having insight, perceived health benefits, regular activities, patient-provider relationship, reminders, and social support networks.ConclusionsPatient-specific barriers and medication side effects were the major challenges for adhering to treatment. Perceived health benefits and having insight on the need for treatment were the most frequently cited facilitators. Targeted interventions should be developed to address the key barriers, and promote measures to facilitate adherence in this group of patients.

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Potentially inappropriate medications are highly prevalent among older residents living in the nursing homes and are associated with number of medications and longer nursing home stay. Further research is warranted to study the impact of PIMs towards health related outcomes in these elderly.

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The ADR incidence reported in this population was no greater than that seen in other studies for both general medical patients and those elderly patients over 65 years of age. A significant proportion of ADRs were preventable, and this suggests that closer monitoring of high-risk elderly patients is needed to address this problem.

Despite the high agreement in the identification, type and causality of ADRs, physicians and pharmacists have difficulties in classifying preventability and severity in a reliable way. A multi-disciplinary approach would enable each profession to share their expert knowledge in order to facilitate better or safer patient care.