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The Association between Medication Experiences and Beliefs and Low Medication Adherence in Patients with Chronic Disease from Two Different Societies: The USA and the Sultanate of Oman.

ABSTRACT: This cross-sectional study aimed to describe the association between medication experiences and beliefs and self-reported medication adherence in patients with chronic diseases in two different samples from two different societies: the USA and the Sultanate of Oman. The Morisky Medication Adherence Score (MMAS-8) questionnaire was used to measure medication adherence. Three items (statements) were used for measuring medication experiences and beliefs variable on a four-point Likert scale adapted from the 2015 National Consumer Survey of the Medication Experience and Pharmacists' Role (NCSME&PR). In the U.S., quantitative secondary data analysis of 13,731 participants was conducted using the 2015 NCSME&PR, a self-administered online survey coordinated by Qualtrics Panels between 28 April 2015 and 22 June 2015. The same variables were translated into Arabic, with studies conducted at the Royal Court Medical Center in Oman, and data from 714 participants were collected between 16 June 2019 and 16 August 2019. Data were analyzed using IMB/SPSS version 24.0 software. Chi-square analysis and descriptive statistics were used. The results showed that the low adherence rates for medication (MMAS-8 < 6) were 56% and 52% in Omani and U.S. groups, respectively. Approximately 90% of the U.S. and Omani participants believed that "medicines are a life-saver"; however, medication adherence was higher in Oman (30%) than in the United States (9%) for these participants. In total, 60% of the U.S. and 29% of Omani participants believed that "medicines are a burden"; however, about 60-65% of participants in both countries were in the low medication adherence group. Additionally, 63% of the U.S. and 83% of the Omani participants disagreed that "medicines do more harm than good"; however, medication adherence in the U.S. (15%) was higher than in Oman (8%). In conclusion, a decrease in low medication adherence was observed with positive medication experiences and beliefs. However, the impacts of medication experiences and beliefs on low medication adherence rates were different from one population to another. The "medication burden" statement resulted in the highest percentage of difference in terms of low medication adherence rates between those who agree and those who disagree in the U.S. group (20%), whereas the "medicines are a life-saver" statement resulted in a greater difference in the Omani group (30%). Proper communication between patients and healthcare providers based on the patient's medication experiences and beliefs will substantially improve medication adherence.

SUBMITTER: Ibrahim KM

PROVIDER: S-EPMC7931077 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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The Association between Medication Experiences and Beliefs and Low Medication Adherence in Patients with Chronic Disease from Two Different Societies: The USA and the Sultanate of Oman.

Ibrahim Kamla M KM Schommer Jon C JC Morisky Donald E DE Rodriguez Raquel R Gaither Caroline C Snyder Mark M

Pharmacy (Basel, Switzerland) 20210203 1

This cross-sectional study aimed to describe the association between medication experiences and beliefs and self-reported medication adherence in patients with chronic diseases in two different samples from two different societies: the USA and the Sultanate of Oman. The Morisky Medication Adherence Score (MMAS-8) questionnaire was used to measure medication adherence. Three items (statements) were used for measuring medication experiences and beliefs variable on a four-point Likert scale adapted ...[more]

PMID: 33546425

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Project description:BackgroundEmpirical research and health policies on asthma have focused on children and young adults, even though asthma morbidity and mortality are higher among older asthmatics.ObjectiveTo explore the relationship of asthma-related beliefs and self-reported controller medication adherence in older asthmatics.DesignAn observational study of asthma beliefs and self-management among older adults.ParticipantsAsthmatics ages ? 60 years (N?=?324, mean age 67.4 ± 6.8, 28 % white, 32 % black, 30 % Hispanic) were recruited from primary care practices in New York City and Chicago.Main measuresSelf-reported controller medication adherence was assessed using the Medication Adherence Report Scale. Based on the Common Sense Model of Self-Regulation, patients were asked if they believe they only have asthma with symptoms, their physician can cure their asthma, and if their asthma will persist. Beliefs on the benefit, necessity and concerns of treatment use were also assessed. Multivariate logistic regression was used to examine the association of beliefs with self-reported medication adherence.Key resultsThe majority (57.0 %) of patients reported poor adherence. Poor self-reported adherence was more common among those with erroneous beliefs about asthma illness and treatments, including the "no symptoms, no asthma" belief (58.7 % vs. 31.7 %, respectively, p?<?0.001), "will not always have asthma" belief (34.8 % vs. 12.5 %, p?<?0.001), and the "MD can cure asthma" belief (21.7 % vs. 9.6 %, p?=?0.01). Adjusting for illness beliefs, treatment beliefs and demographics, patients with a "no symptoms, no asthma" belief had lower odds of having good self-reported adherence (odds ratio [OR] 0.45, 95 % confidence interval [CI] 0.23-0.86), as did those with negative beliefs about the benefits (OR 0.73, 95 % CI 0.57-0.94) and necessity (OR 0.89, 95 % CI 0.83-0.96) of treatment.ConclusionsIllness and treatment beliefs have a strong influence on self-reported medication adherence in older asthmatics. Interventions to improve medication adherence in older asthmatics by modifying illness and treatment beliefs warrant study.

Project description:BackgroundThis study assesses the feasibility of using machine learning methods such as Random Forests (RF), Artificial Neural Networks (ANN), Support Vector Regression (SVR) and Self-Organizing Feature Maps (SOM) to identify and determine factors associated with hypertensive patients' adherence levels. Hypertension is the medical term for systolic and diastolic blood pressure higher than 140/90 mmHg. A conventional medication adherence scale was used to identify patients' adherence to their prescribed medication. Using machine learning applications to predict precise numeric adherence scores in hypertensive patients has not yet been reported in the literature.MethodsData from 160 hypertensive patients from a tertiary hospital in Kuala Lumpur, Malaysia, were used in this study. Variables were ranked based on their significance to adherence levels using the RF variable importance method. The backward elimination method was then performed using RF to obtain the variables significantly associated with the patients' adherence levels. RF, SVR and ANN models were developed to predict adherence using the identified significant variables. Visualizations of the relationships between hypertensive patients' adherence levels and variables were generated using SOM.ResultMachine learning models constructed using the selected variables reported RMSE values of 1.42 for ANN, 1.53 for RF, and 1.55 for SVR. The accuracy of the dichotomised scores, calculated based on a percentage of correctly identified adherence values, was used as an additional model performance measure, resulting in accuracies of 65% (ANN), 78% (RF) and 79% (SVR), respectively. The Wilcoxon signed ranked test reported that there was no significant difference between the predictions of the machine learning models and the actual scores. The significant variables identified from the RF variable importance method were educational level, marital status, General Overuse, monthly income, and Specific Concern.ConclusionThis study suggests an effective alternative to conventional methods in identifying the key variables to understand hypertensive patients' adherence levels. This can be used as a tool to educate patients on the importance of medication in managing hypertension.

Project description:BackgroundNon-communicable diseases (NCD) represent a major public health issue and currently cause 185.75 deaths per 100,000 population in Oman. Hence, there is a need for comprehensive, up-to-date and internationally comparable data on NCD risk factors in order to evaluate the effectiveness of ongoing public health policies and to develop further NCD prevention and control interventions. The aim of the study was to provide evidence-based, up-to-date, extensive, and reliable baseline data on the behavioural and biological risk factors of NCDs in the Sultanate of Oman.MethodsA cross-sectional, prospective, observational community-based survey designed to be nationally representative of the Sultanate of Oman was conducted based on the WHO STEPwise approach to Surveillance (STEPS). Multi-stage stratified random sampling according to geographical distribution selected a total of 9053 households (Omani nationals and non-Omani residents). Cluster sampling was used to randomly select equal clusters from each governorate. 823 households were randomly selected from the list of all households in all selected clusters from each governorate and one eligible adult selected from each household randomly accounting for 6582 consenting participants. The survey used demographic and behavioural information questionnaires along with physical and biochemical measurements among adults aged 18 years and above.ResultsThe prevalence of behavioural risk factors such as tobacco use was 9%, alcohol consumption was 2%, insufficient fruit or vegetable intake was 61%, and insufficient physical activity was 39%. The prevalence of biological risk factors such as overweight and obesity was 66%, raised blood pressure was 33%, raised blood glucose was 16%, and raised blood cholesterol was 36%. The prevalence of multiple risk factors was also determined and 95% of the population were found to have more than one risk factor. Three or more risk factors were found among 33% of population aged 18 years and above and 45% of the population aged 45 years and above.ConclusionA high prevalence of various NCD risk factors was found which needs to be addressed through health promotion, education, and policy. The findings are important to support the formulation and implementation of NCD-related policies and action plans that improve health status and prevent mortality due to NCDs in Oman.

Dataset Information

The Association between Medication Experiences and Beliefs and Low Medication Adherence in Patients with Chronic Disease from Two Different Societies: The USA and the Sultanate of Oman.

Publications

The Association between Medication Experiences and Beliefs and Low Medication Adherence in Patients with Chronic Disease from Two Different Societies: The USA and the Sultanate of Oman.

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