scholarly journals Ways Health Care Providers Can Promote Better Medication Adherence

2017 ◽  
Vol 35 (3) ◽  
pp. 171-177 ◽  
Author(s):  
Jennifer K. Bussell ◽  
EunSeok Cha ◽  
Yvonne E. Grant ◽  
David D. Schwartz ◽  
Lara A. Young
Keyword(s):  
Health Care ◽  
Medication Adherence ◽  
Health Care Providers ◽  
Care Providers

scholarly journals The Effect of the E-Patuh Application on HIV/Aids Patients’ Adherence in Consuming Antiretroviral

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Alfian Alfian ◽  
Kusman Ibrahim ◽  
Imas Rafiyah
Keyword(s):  
Health Care ◽  
Medication Adherence ◽  
Health Care Providers ◽  
Antiretroviral Treatment ◽  
Intervention Group ◽  
Self Report ◽  
Care Providers ◽  
Aids Patients ◽  
Antiretroviral Adherence ◽  
Hiv Aids

Medication adherence is behavior that refers to client obeys in following a medication, and makes lifestyle changes in accordance of recommendations from health care providers. Antiretroviral adherence is paramount for HIV/AIDS patients. The effects were often a problem in antiretroviral treatment and toxicity and often be the reason for replacing or stopping antiretroviral treatment. This study aimed to determine the “E-Patuh” Applications effect on antiretroviral adherence in patients Of HIV/AIDS In West Java. The research design was a quasi-experimental with nonequivalent control group design. The location of this research was in RSUD Kota Bandung and in RSUD Kota Banjar. The respondents was selected without randomization and used purposive sampling technique. Respondents in this study were 30 respondents. Data were obtained using self-report questionnaires. The intervention group was monitored a 30-day android-based E-Patuh application and monitored on an E-Patuh website and then measured adherence value with self-report. Data were analyzed using SPSS 22 with chi-square test. The results showed a significant difference between adherence value before and after application of E-Patuh in the intervention group with (p <0.05) with obtained p value = 0,006. The results of this study prove a positive effect on the using of E-Patuh applications against ARV medication adherence in the intervention group with the support system of the E-Patuh application. The used of E-Patuh is helpful in improving ARV adherence in HIV/AIDS patients. The features contained in E-Patuh were directly reminiscent of the timing of taking medication for PWLH. E-Patuh should be consideration for PLHIV and health care providers in hospitals to improve ARV adherence to reduce mortality rates in people living with HIV.

The Medication Adherence Model: A Guide for Assessing Medication Taking

2002 ◽  
Vol 16 (3) ◽  
pp. 179-192 ◽  
Author(s):  
Mary Jayne Johnson
Keyword(s):  
Health Care ◽  
Medication Adherence ◽  
Health Care Providers ◽  
Dynamic Process ◽  
Care Providers ◽  
Health Treatment ◽  
Behavioral Component ◽  
Perceived Need ◽  
Core Concepts ◽  
Regulatory Models

The Medication Adherence Model (MAM) was developed to describe the process of medication adherence and guide health care providers in assessing medication-taking in individuals with hypertension. The MAM was structured with the idea that two types of nonadherence contribute to inconsistent medication taking, the intentional decision to miss medications, and the unintentional interruptions that cause medications not to be taken. The three core concepts identified in the model are: (a) Purposeful Action, (b) Patterned Behavior, and (c) Feedback. Patients’ initiating and sustaining medication adherence are dependent on the deliberate decision to take medications based on perceived need, effectiveness, and safety (Purposeful Action). Then they establish medication-taking patterns through access, routines, and remembering (Patterned Behavior). Individuals use information, prompts, or events (Feedback) during the appraisal process to evaluate health treatment that, in return, influences individuals’ levels of Purposeful Action and Patterned Behavior (Johnson, 2002; Johnson, Williams, & Marshall, 1999). The MAM depicts the dynamic process of initiating and maintaining medication adherence from the hypertensive patient’s perspective. The model describes the key components of existing cognitive and self-regulatory models, and identifies an additional behavioral component. The succinct organization of the MAM may facilitate health care providers’ ability to evaluate and individualize interventions for promoting medication taking.

scholarly journals Determinants of HIV Treatment Adherence in Ethnically Diverse and Economically Disadvantaged Patients in a Tertiary Hospital, Nigeria

2021 ◽  
Vol 9 (2) ◽  
pp. 358-367
Author(s):  
Ijaodola Aremu Olugbenga
Keyword(s):  
Health Care ◽  
Medication Adherence ◽  
Health Care Providers ◽  
Economically Disadvantaged ◽  
Ethnically Diverse ◽  
Hiv Treatment ◽  
Care Providers ◽  
Adherence To Medication ◽  
Medication Schedule ◽  
Hiv Aids

Antiretroviral Therapy (ART) Has Decreased The Mortality And Morbidity Of HIV/AIDS, And High Adherence To ART (>95%) Is Necessary For A Good Therapeutic Outcome. Non-Adherence Can Lead To Drug-Resistant HIV Caused By Failure To Achieve Maximal Viral Suppression. Little Is Known About Adherence To ART And Its Determinants Among Ethnically Diverse And Economically Disadvantaged Patients. The Purpose Of The Study Was To Identify The Level Of Adherence And Describe Factors That Influence ART Adherence Among Ethnically Diverse And Economically Disadvantaged Patients. This Is With A View To Providing Information That Could Help Health Care Providers Understand Patient Motivations For Discontinuing Their Antiretroviral Treatment And Helping Patients Collaboratively Develop Treatment Regimens That Facilitate Adherence And Optimize The Outcomes Of HIV/AIDS Therapy. A Cross-Sectional Descriptive Survey Was Used. Data Were Collected Among 400 HIV-Infected Patients On ARV Who Received Pretreatment And Ongoing Adherence Counseling And Education Since 2010 Using A Self-Administered Questionnaire. The Data Were Analyzed Using Statistical Package For Social Sciences (SPSS). Findings Showed That The Self-Reported Adherence To The Specific Timing For Taking The Medications (Medication Schedule) Was Significantly Low (8.3%). The Major Factors For Non-Adherence To Medication Reported In This Study Were Being Busy At Work Or School, Forgetfulness, Fasting And Travelling Away From Home. Also, Employment Status Was Associated With Poor Adherence, Which May Be Corroborated By The Major Reason For Non-Adherence (Busy At Work Or School). This Study Is One Of The First Steps In The Exploration Of The Relationship Of Factors Responsible And Medication Adherence Among HIV Patients. This Study Used Three Different Measures Of Medication Adherence. These Are Patients’ Knowledge Of The Benefits Of Taking The Drugs, Adherence To A Medication Schedule, And The Number Of Prescribed Doses Of Medications Missed. Health Care Providers Must Identify Possible Barriers To Adherence At The Earliest And Provide Appropriate Solutions. These Factors Should Be Considered When Designing And Implementing Adherence Interventions.

scholarly journals Effect of Interactive eHealth Interventions on Improving Medication Adherence in Adults With Long-Term Medication: Systematic Review

10.2196/18901 ◽  
2021 ◽  
Vol 23 (1) ◽  
pp. e18901
Author(s):  
Bart P H Pouls ◽  
Johanna E Vriezekolk ◽  
Charlotte L Bekker ◽  
Annemiek J Linn ◽  
Hein A W van Onzenoort ◽  
...  
Keyword(s):  
Health Care ◽  
Medication Adherence ◽  
Health Care Providers ◽  
Evidence Synthesis ◽  
Medication Management ◽  
Care Providers ◽  
Management Skills ◽  
Best Evidence Synthesis ◽  
Positive Effect

Background Medication nonadherence leads to suboptimal treatment outcomes, making it a major priority in health care. eHealth provides an opportunity to offer medication adherence interventions with minimal effort from health care providers whose time and resources are limited. Objective The aim of this systematic review is twofold: (1) to evaluate effectiveness of recently developed and tested interactive eHealth (including mHealth) interventions on medication adherence in adult patients using long-term medication and (2) to describe strategies among effective interventions. Methods MEDLINE, EMBASE, Cochrane Library, PsycINFO, and Web of Science were systematically searched from January 2014 to July 2019 as well as reference lists and citations of included articles. Eligible studies fulfilled the following inclusion criteria: (1) randomized controlled trial with a usual care control group; (2) a total sample size of at least 50 adult patients using long-term medication; (3) applying an interactive eHealth intervention aimed at the patient or patient’s caregiver; and (4) medication adherence as primary outcome. Methodologic quality was assessed using the Cochrane risk of bias tool. Selection and quality assessment of studies were performed by 2 researchers (BP and BvdB or JV) independently. A best evidence synthesis was performed according to the Cochrane Back Review Group. Results Of the 9047 records screened, 22 randomized clinical trials were included reporting on 29 interventions. Most (21/29, 72%) interventions specified using a (mobile) phone for calling, SMS text messaging, or mobile apps. A majority of all interactive interventions (17/29) had a statistically significant effect on medication adherence (P<.05). Of these interventions, 9 had at least a small effect size (Cohen d ≥ 0.2) and 3 showed strong odds for becoming adherent in the intervention group (odds ratio > 2.0). Our best evidence synthesis provided strong evidence for a positive effect of interventions using SMS text messages or interactive voice response, mobile app, and calls as mode of providing adherence tele-feedback. Intervention strategies “to teach medication management skills,” “to improve health care quality by coordinating medication adherence care between professionals,” and “to facilitate communication or decision making between patients and health care providers” also showed strong evidence for a positive effect. Conclusions Overall, this review supports the hypothesis that interactive eHealth interventions can be effective in improving medication adherence. Intervention strategies that improve patients’ treatment involvement and their medication management skills are most promising and should be considered for implementation in practice.

scholarly journals Medication Adherence and the Role of Pictograms in Medication Counselling of Chronic Patients: a Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Piotr Merks ◽  
Jameason Cameron ◽  
Krzysztof Bilmin ◽  
Damian Świeczkowski ◽  
Tomira Chmielewska-Ignatowicz ◽  
...  
Keyword(s):  
Health Care ◽  
Medication Adherence ◽  
Health Care Providers ◽  
Economic Status ◽  
Care Providers ◽  
Low Literacy ◽  
Chronic Patients ◽  
Improve Medication Adherence ◽  
Related Information ◽  
Medication Counselling

Pharmaceutical care requires a patient-centered approach, focusing on the ability of patients to understand drug-related information and follow the instructions delivered by pharmacists as well as other health-care providers included in the circle of care. With the goal of ensuring the prescribed use of medications, called medication adherence, health-care providers have to consider many risk factors such as geography (culture), social economic status, age, and low literacy that may predispose patients to non-adherence, and considerations have to be made for chronic patients living with life-long disease states. The aim of this review is to provide a balanced and comprehensive review outlining a number of different medication counselling and education approaches that have been used to try to improve medication adherence and health outcomes with the use of clear and concise graphic illustrations—called pictograms. By highlighting the current landscape of the general use and efficacy of pharmaceutical pictograms to aid in the knowledge and recall of drug-related information, as well as outlining specific medication adherence outcomes with pharmaceutical pictograms in chronic patients, the current review describes the need for health-care providers to move beyond the traditional didactic methods of oral and verbal communication with patients regarding medication-taking behavior.

scholarly journals Effect of Interactive eHealth Interventions on Improving Medication Adherence in Adults With Long-Term Medication: Systematic Review (Preprint)

2020 ◽  
Author(s):  
Bart P H Pouls ◽  
Johanna E Vriezekolk ◽  
Charlotte L Bekker ◽  
Annemiek J Linn ◽  
Hein A W van Onzenoort ◽  
...  
Keyword(s):  
Health Care ◽  
Medication Adherence ◽  
Health Care Providers ◽  
Evidence Synthesis ◽  
Medication Management ◽  
Care Providers ◽  
Management Skills ◽  
Best Evidence Synthesis ◽  
Positive Effect

BACKGROUND Medication nonadherence leads to suboptimal treatment outcomes, making it a major priority in health care. eHealth provides an opportunity to offer medication adherence interventions with minimal effort from health care providers whose time and resources are limited. OBJECTIVE The aim of this systematic review is twofold: (1) to evaluate effectiveness of recently developed and tested interactive eHealth (including mHealth) interventions on medication adherence in adult patients using long-term medication and (2) to describe strategies among effective interventions. METHODS MEDLINE, EMBASE, Cochrane Library, PsycINFO, and Web of Science were systematically searched from January 2014 to July 2019 as well as reference lists and citations of included articles. Eligible studies fulfilled the following inclusion criteria: (1) randomized controlled trial with a usual care control group; (2) a total sample size of at least 50 adult patients using long-term medication; (3) applying an interactive eHealth intervention aimed at the patient or patient’s caregiver; and (4) medication adherence as primary outcome. Methodologic quality was assessed using the Cochrane risk of bias tool. Selection and quality assessment of studies were performed by 2 researchers (BP and BvdB or JV) independently. A best evidence synthesis was performed according to the Cochrane Back Review Group. RESULTS Of the 9047 records screened, 22 randomized clinical trials were included reporting on 29 interventions. Most (21/29, 72%) interventions specified using a (mobile) phone for calling, SMS text messaging, or mobile apps. A majority of all interactive interventions (17/29) had a statistically significant effect on medication adherence (<i>P</i>&lt;.05). Of these interventions, 9 had at least a small effect size (Cohen d ≥ 0.2) and 3 showed strong odds for becoming adherent in the intervention group (odds ratio &gt; 2.0). Our best evidence synthesis provided strong evidence for a positive effect of interventions using SMS text messages or interactive voice response, mobile app, and calls as mode of providing adherence tele-feedback. Intervention strategies “to teach medication management skills,” “to improve health care quality by coordinating medication adherence care between professionals,” and “to facilitate communication or decision making between patients and health care providers” also showed strong evidence for a positive effect. CONCLUSIONS Overall, this review supports the hypothesis that interactive eHealth interventions can be effective in improving medication adherence. Intervention strategies that improve patients’ treatment involvement and their medication management skills are most promising and should be considered for implementation in practice.

scholarly journals Stakeholder Feedback of Electronic Medication Adherence Products: Qualitative Analysis (Preprint)

2020 ◽  
Author(s):  
Sadaf Faisal ◽  
Jessica Ivo ◽  
Aidan McDougall ◽  
Tejal Patel
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Medication Adherence ◽  
Qualitative Analysis ◽  
Health Care Providers ◽  
Storage Capacity ◽  
Medication Management ◽  
Technology Literacy ◽  
Care Providers ◽  
Product Features

BACKGROUND Medication management among older adults continues to be a challenge, and innovative electronic medication adherence products have been developed to address this need. OBJECTIVE The aim of this study is to examine user experience with electronic medication adherence products, with particular emphasis on features, usefulness, and preferences. METHODS Older adults, caregivers, and health care providers tested the usability of 22 electronic medication adherence products. After testing 5 products, participants were invited to participate in a one-on-one interview to investigate their perceptions and experiences with the features, usefulness, and preference for electronic medication adherence products tested. The interviews were audio recorded, transcribed, and analyzed using exploratory inductive coding to generate themes. The first 13 interviews were independently coded by 2 researchers. The percentage agreement and Cohen kappa after analyzing those interviews were 79% and 0.79, respectively. A single researcher analyzed the remaining interviews. RESULTS Of the 37 participants, 21 (57%) were older adults, 5 (14%) were caregivers, and 11 (30%) were health care providers. The themes and subthemes generated from the qualitative analysis included product factors (subthemes: simplicity and product features, including availability and usability of alarms, portability, restricted access to medications, and storage capacity) and user factors (subthemes: sentiment, affordability, physical and cognitive capability, and technology literacy and learnability). CONCLUSIONS Electronic medication adherence products have the potential to enable independent medication management in older adults. The choice of a particular product should be made after considering individual preferences for product features, affordability, and the sentiment of the users. Older adults, caregivers, and health care providers prefer electronic medication adherence products that are simple to set up and use, are portable, have easy-to-access medication compartments, are secure, and have adequate storage capacity.

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