Family Knowledge and Attitudes to Improve Medication Adherence in Patients with Pulmonary Tuberculosis

2018 ◽  
Author(s):  
Lailatun Nimah ◽  
Rini Sartika ◽  
. Makhfudli
Keyword(s):  
Medication Adherence ◽  
Pulmonary Tuberculosis ◽  
Improve Medication Adherence ◽  
Knowledge And Attitudes

Interventions to Improve Medication Adherence in Schizophrenia

2002 ◽  
Vol 159 (10) ◽  
pp. 1653-1664 ◽  
Author(s):  
Annette Zygmunt ◽  
Mark Olfson ◽  
Carol A. Boyer ◽  
David Mechanic
Keyword(s):  
Medication Adherence ◽  
Improve Medication Adherence

Strategies to Improve Medication Adherence in Older Persons: Consensus Statement from the Senior Italia Federanziani Advisory Board

Drugs & Aging ◽  
2016 ◽  
Vol 33 (9) ◽  
pp. 629-637 ◽  
Author(s):  
Alessandra Marengoni ◽  
Alessandro Monaco ◽  
Elisio Costa ◽  
Antonio Cherubini ◽  
Alexandra Prados-Torres ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Older Persons ◽  
Consensus Statement ◽  
Advisory Board ◽  
Improve Medication Adherence

Abstract 113: Pharmacists' Perspectives of an Intervention to Improve Medication Adherence after ACS Hospitalization A Qualitative Analysis

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Kelty B Fehling ◽  
Anne Lambert-Kerzner ◽  
Ryan Davis ◽  
Jennifer Weaver ◽  
Casey Barnett ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Patient Education ◽  
Patient Adherence ◽  
Clinical Care ◽  
Qualitative Inquiry ◽  
Educational Process ◽  
Assessment Tools ◽  
Personal Contact ◽  
Improve Medication Adherence ◽  
Coronary Syndrome

Background: Despite the success of pharmacist-led interventions to improve medication adherence, pharmacists’ perspectives of these interventions are unknown. Our objective was to understand the pharmacists’ perspectives of a successful multifaceted intervention to improve medication adherence after acute coronary syndrome (ACS) hospitalization. Methods: We ascertained pharmacist perspectives’ through qualitative inquiry that included an open-ended survey, semi-structured interviews, and a focus group with the four pharmacists who participated in the intervention. Transcripts of surveys and interviews were analyzed using a content analysis approach. The intervention components included: 1) patient education; 2) assessment tools for potential medication adherence barriers; 3) collaborative care; and 4) automated medication refill reminders and educational messages. Pharmacists’ perspectives on each of these components were evaluated. Results: The pharmacists felt the intervention could be sustained in routine clinical care and identified key themes that facilitated intervention success. Pharmacists believed educating patients about their cardiovascular medications filled a gap in usual care. In addition, assessment tools that identified medication discrepancies and gaps in knowledge were helpful in tailoring patient education, while face-to-face conversations were more helpful in identifying mental and cognitive deficits that were barriers to adherence. Pharmacists also noted that the intervention led to the development of bi-directional relationships with patients through increased in-person and tele-health communication. As a result, poor adherence related to medication side effects was more readily addressed. Potential areas for improvement identified by the pharmacists included 1) emphasizing in-person visits to build relationships (begin the educational process while the patient is hospitalized and schedule both the follow-up clinic appointment and pharmacy visit at the same time); 2) utilizing the patient centered medical home concept to improve access to providers; 3) allowing sites to determine provider type to support the personal contact (i.e. pharmacist, nurse practitioner, registered nurse); and 4) employing interactive voice response (IVR) technology to facilitate communication. Conclusions: Pharmacists’ perspectives of a medication adherence intervention gave insights into reasons for the intervention success and suggestions for improvements and dissemination. We found that in-person meetings between pharmacists and patients led to bi-directional conversations and relationships with providers, which positively influenced patient adherence behavior. Future interventions designed to improve medication adherence should incorporate these pharmacist-identified factors.

Abstract 148: Association of Dosing Frequency on Medication Adherence in Patients with Non-Valvular Atrial Fibrillation

2013 ◽  
Vol 6 (suppl_1) ◽  
Author(s):  
Tanya Burton ◽  
Lauren J Lee ◽  
Ying Fan ◽  
Winghan Jacqueline Kwong
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Medication Adherence ◽  
Health Plan ◽  
Index Date ◽  
Improve Medication Adherence ◽  
Treatment Regimens ◽  
Pharmacy Claims ◽  
Comorbidity Burden ◽  
Dosing Frequency

Objective: Previous studies suggest that the complexity of a dosing regimen may affect medication adherence. We examined the association between dosing frequency and adherence for 2 concomitant medications commonly prescribed to patients with non-valvular atrial fibrillation (NVAF), metoprolol (MET) and carvedilol (CAR). Methods: A retrospective claims study from a large US commercial and Medicare Advantage health plan analyzed data of adults ( > 18 years) with 1 inpatient or 2 outpatient claims for NVAF between 1/1/2008 - 12/31/2010. Patients with > 2 pharmacy claims for MET or CAR were analyzed separately. Within MET and CAR samples, once-daily (QD) and twice-daily (BID) cohorts were defined by the dosing frequency on pharmacy claims. The index date was set as the date of the first MET or CAR claim. Patients were continuously enrolled in the health plan for 1 year before (pre-index) and 1 year after (post-index) the index date. MET patients were required to have > 1 pre-index claim for acute myocardial infarction, angina, heart failure, or hypertension; CAR patients were required to have ≥1 claim for heart failure or hypertension. Patients using both QD and BID formulations of the index medication were excluded. Adherence to the index medication was assessed by the proportion of days covered (PDC) during the post-index period. PDC between QD and BID patients was compared using logistic regression to adjust for demographic and pre-index clinical characteristics. The proportion of QD and BID patients who discontinued the index medication (defined by a gap > 30 days) during the post-index period was also compared. Results: The analysis included 11,621 MET patients (QD: 6,084; BID: 5,537) and 4,393 CAR patients (QD: 203; BID: 4,190). Mean (SD) age was 70 (12) years for MET and CAR patients; 59% of MET and 69% of CAR patients were male. Compared to patients with BID dosing, patients with QD dosing were on average younger, more likely to be male, and had a lower comorbidity burden. Fewer patients discontinued MET or CAR with QD than BID dosing (MET: 38% vs. 51%, p<0.001; CAR: 39% vs. 48%, p=0.009). The proportion of patients with PDC > 80% was greater for patients with QD than BID dosing (MET: 62% vs. 50%, p< 0.001; CAR: 63% vs. 53%, p=0.004). MET patients with BID dosing were less likely to achieve PDC > 80% than patients with QD dosing (adjusted OR: 0.66; 95% CI: 0.609-0.712). CAR patients with BID dosing were less likely to achieve PDC > 80% than patients with QD dosing (adjusted OR: 0.69; 95% CI: 0.508-0.934). Among MET and CAR patients, age <60 years was associated with lower adherence (p<0.001) while prior use of index medication was associated with higher adherence (p≤0.001) to the index medication. Conclusion: Medication adherence to MET and CAR was higher with QD than BID dosing. Quality initiatives that reduce the dosing frequency of treatment regimens may improve medication adherence among NVAF patients.

SystemCHANGE™ Solutions to Improve Medication Adherence in Kidney Transplant Recipients: A Secondary Data Analysis

2021 ◽  
Vol 48 (4) ◽  
pp. 389
Author(s):  
Angela M. Andrews ◽  
An-Lin Cheng ◽  
Rebecca J. Ellis ◽  
Amanda M. Emerson ◽  
Tara O'Brien ◽  
...  
Keyword(s):  
Data Analysis ◽  
Medication Adherence ◽  
Kidney Transplant ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Improve Medication Adherence

Does Motivational Interviewing Improve Medication Adherence?—Reply

2012 ◽  
Vol 172 (17) ◽  
pp. 1351
Author(s):  
Daniel H. Solomon ◽  
Maura Daly Iversen ◽  
Jeffrey N. Katz
Keyword(s):  
Medication Adherence ◽  
Motivational Interviewing ◽  
Improve Medication Adherence

scholarly journals SaO014USE OF A MOBILE APP TO IMPROVE MEDICATION ADHERENCE IN KIDNEY TRANSPLANT RECIPIENTS - A PROSPECTIVE INTERVENTIONAL STUDY

2018 ◽  
Vol 33 (suppl_1) ◽  
pp. i321-i321 ◽  
Author(s):  
Oliver Staeck ◽  
Sebastian Georgi ◽  
Dmytro Khadzhynov ◽  
Lukas Lehner ◽  
Eva Schrezenmeier ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Kidney Transplant ◽  
Mobile App ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
Interventional Study ◽  
Improve Medication Adherence

scholarly journals Medication Adherence Analysis of Type 2 Diabetes Mellitus Patients

2019 ◽  
Vol 1 (3) ◽  
pp. 107
Author(s):  
Sulistyo Andarmoyo ◽  
Harmy Bin Mohamed Yusoff ◽  
Berhanudin Bin Abdullah ◽  
Yuzana Binti Mohd Yusop
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Medication Adherence ◽  
Sex Education ◽  
Service Management ◽  
Health Care Facilities ◽  
Improve Medication Adherence ◽  
Cross Sectional

Adherence has an important role in therapy management in patients with type 2 Diabetes Mellitus. This research is to identify and analyze factors related to medication adherence. The design used in this study was a descriptive-analytic design with a cross-sectional approach. The population is type 2 Diabetes Mellitus sufferers of Prolanis Group in Primary Health Care Facilities in the Ponorogo Regency. A sample of 180 respondents was taken by purposive sampling technique. Variable X includes age, gender, education, occupation, income, and length of suffering. Variable Y was medication compliance with type 2 Diabetes Mellitus patients. Data collection used a Morisky Medication Adherence (MMAS-8) questionnaire and was analyzed using the Chi-Square test with a significant level of α <0.05. From the results of the study, it was found that the factors of age, sex, education, employment, income and duration of suffering had a significant relationship with medication adherence for patients with type 2 diabetes mellitus. It is expected that health services develop family and community-based service management. Researchers are further advised to develop programs to improve medication adherence.

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