Evaluating the Potential Impact of Pharmacist Counseling on Medication Adherence Using a Simulation Activity

Volino, Lucio R.; Das, Rolee Pathak; Mansukhani, Rupal Patel; Cosler, Leon E.

doi:10.5688/ajpe789169

Cited by 13 publications

(17 citation statements)

References 14 publications

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“…This could be largely due to structured education, counseling, reinforcement and motivation offered by the pharmacist. The study results observed were similar to the study conducted by the Morisky et al [12][13][14]. The study highlights the need for a periodic interaction between pharmacist and patient which will helps in improving patient medication adherence behavior.…”

Section: Influence Of Counseling and Education On Medication Adherencesupporting

confidence: 81%

Evaluating the Effect of Pharmacist’s Delivered Counseling on Medication Adherence and Glycemic Control in Patients with Diabetes Mellitus

Shareef¹,

Fern²,

es³

et al. 2016

J Diabetes Metab

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Introduction: Diabetes mellitus is a metabolic disorder leading to significant morbidity and mortality and negatively affects patient quality of life. Lifestyle modifications and patient medication adherence are the most important factor that contributes to effective management. Objectives:To assess the impact of pharmacist delivered counseling on medication adherence and glycemic control in patients with diabetes mellitus. Method:It was a prospective, interventional study carried over a period of 12 months from October 2014 -September 2015 in general medicine outpatient department of a tertiary care teaching hospital. A total of 106 Patients who fulfilled the study criteria were randomized into intervention group (55 patients) and usual care groups (51 patients) were completed the study. Patient information leaflet and medication counseling was provided to intervention group by the clinical pharmacist. Adherence to the treatment has been assessed during a personal interview with each patient in both the groups by using Morisky Medication Adherence Scale at base line and final follow up. In a group of 30 patients in the intervention group glycosylated hemoglobin was recorded at baseline and final follow up. These adherence scores and glycemic levels (fasting plasma glucose and post prandial plasma glucose) were obtained and compared between both groups at the end of the study.Results: At the baseline, there was no significant difference in medication adherence scores and glycemic levels between the usual care and intervention groups (p>0.005). However, statistically significant differences in glycemic levels (fasting plasma glucose and post prandial plasma glucose ) and medication adherence scores was observed in the final follow up in intervention group as compared to the usual care group (p<0.005). Conclusion:The study suggests that clinical pharmacist intervention through patient education and medication counseling made a significant influence for improvement in medication adherence and glycemic control in patients with diabetes mellitus.

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Section: Influence Of Counseling and Education On Medication Adherencesupporting

confidence: 81%

Evaluating the Effect of Pharmacist’s Delivered Counseling on Medication Adherence and Glycemic Control in Patients with Diabetes Mellitus

Shareef¹,

Fern²,

es³

et al. 2016

J Diabetes Metab

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“…There was a statistically significant effect of providing counseling and leaflets or pharmacy counseling on the level of compliance of pulmonary TB patients in taking TB drugs before and 2 weeks after the intervention (Karuniawati et al, 2019). Counseling activities are also beneficial in helping patients understand their treatment, advance treatment compliance and patient treatment satisfaction and accordingly improve clinical outcomes (Volino et al, 2014;Sanii et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

The Effect of Psychological and Health Education Approaches Based on Self-Efficacy on Compliance With Tuberculosis Patient: A Systematic Review

Choliq

Sukartini

Makhfudli

2020

nhjk

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Background: One of the obstacles to TB management today has been non-compliance. Non-compliance of TB patients in treatment can be influenced by the perception of self-efficacy.Objective: The study aimed to analyze the effect of psychological and health education approaches based on self-efficacy on adherence with tuberculosis patients.Design: Design research uses systematic review based on PRISMA checklist.Data Sources: Using three databases: Scopus, Science direct, and CINAHL. The three databases are of high and medium reputation. The search was conducted from June to July 2020. The keywords in this systematic review are “mycobacterium tuberculosis” OR "tuberculosis" OR "pulmonary TB", "adherence OR Compliance" and "psychology OR health education OR self-efficacy". Searching are limited to journal articles, 2012-2020 publication years and English language articles.Review Methods: To assess the quality of articles is using the JBI Critical Appraisal Tool and PRISMA checklist as a guide to filter articles.Results: A total of 10 articles were analyzed according to inclusion criteria. The results obtained as many as 6 studies are randomized control Trials, 2 studies use Quasi-Experiment, and 2 observational studies. The number of samples varied from 19 to 361 respondents. Age from 15 to 65 and above. Gender characteristics are dominated by men and the study was multi-regional. and most levels of education at the elementary and junior high school levels. The psychological and health education approaches based on self-efficacy are divided into several approaches that are proven to increase compliance including: psychotherapy, mindfulness, counseling and education, Medication Adherence Enhancement Program (MAEP).Conclusion: Psychological approaches and Health Education based on self-efficacy consist of various interventions. The articles analyzed mostly use the HBM concept. There needs to be a self-efficacy development program that not only emphasizes the individual and cognitive, but also needs social and family support in improving self-efficacy, so that it affects the effectiveness of treatment. Keywords: Mycobacterium Tuberculosis, Compliance, Psychology, Health Education, Self-Efficacy.

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“…Simulation studies offer the possibility to assess the performance of a variety of methods and parameters in relation to a known state (Burton et al, 2006). In adherence research, simulation studies have been used to estimate pharmacokinetic properties (Ding et al, 2012; Pellock and Brittain, 2016) or the impact of interventions to improve adherence (Slejko et al, 2014; Volino et al, 2014; Piette et al, 2015). Optimal methods of summarizing longitudinal adherence and ideal parametrization of sliding windows to identify underlying patterns have not yet been established for this type of data.…”

Section: Introductionmentioning

confidence: 99%

Beyond Adherence Thresholds: A Simulation Study of the Optimal Classification of Longitudinal Adherence Trajectories From Medication Refill Histories

Allemann

Dediu²,

Dima

2019

Front. Pharmacol.

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Background: The description of adherence based on medication refill histories relies on the estimation of continuous medication availability (CMA) during an observation period. Thresholds to distinguish adherence from non-adherence typically refer to an aggregated value across the entire observation period, disregarding differences in adherence over time. Sliding windows to divide the observation period into smaller portions, estimating adherence for these increments, and classify individuals with similar trajectories into clusters can retain this temporal information. Optimal methods to estimate adherence trajectories to identify underlying patterns have not yet been established. This simulation study aimed to provide guidance for future studies by analyzing the effect of different longitudinal adherence estimates, sliding window parameters, and sample characteristics on the performance of a longitudinal clustering algorithm. Methods: We generated samples of 250–25,000 individuals with one of six longitudinal refill patterns over a 2-year period. We used two longitudinal CMA estimates (LCMA1 and LCMA2) and their dichotomized variants (with a threshold of 80%) to create adherence trajectories. LCMA1 assumes full adherence until the supply ends while LCMA2 assumes constant adherence between refills. We assessed scenarios with different LCMA estimates and sliding window parameters for 350 independent samples. Individual trajectories were clustered with kml, an implementation of k-means for longitudinal data in R. We compared performance between the four LCMA estimates using the adjusted Rand Index (cARI). Results: Cluster analysis with LCMA2 outperformed other estimates in overall performance, correct identification of groups, and classification accuracy, irrespective of sliding window parameters. Pairwise comparison between LCMA estimates showed a relative cARI-advantage of 0.12–0.22 ( p < 0.001) for LCMA2. Sample size did not affect overall performance. Conclusion: The choice of LCMA estimate and sliding window parameters has a major impact on the performance of a clustering algorithm to identify distinct longitudinal adherence trajectories. We recommend (a) to assume constant adherence between refills, (b) to avoid dichotomization based on a threshold, and (c) to explore optimal sliding windows parameters in simulation studies or selecting shorter non-overlapping windows for the identification of different adherence patterns from medication refill data.

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Evaluating the Potential Impact of Pharmacist Counseling on Medication Adherence Using a Simulation Activity

Cited by 13 publications

References 14 publications

Evaluating the Effect of Pharmacist’s Delivered Counseling on Medication Adherence and Glycemic Control in Patients with Diabetes Mellitus

Evaluating the Effect of Pharmacist’s Delivered Counseling on Medication Adherence and Glycemic Control in Patients with Diabetes Mellitus

The Effect of Psychological and Health Education Approaches Based on Self-Efficacy on Compliance With Tuberculosis Patient: A Systematic Review

Beyond Adherence Thresholds: A Simulation Study of the Optimal Classification of Longitudinal Adherence Trajectories From Medication Refill Histories

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