scholarly journals Factors Influencing Medication Adherence and Status of Medication Use of the Elderly with Chronic Disease Taking Non-opioid Analgesics

2017 ◽  
Vol 19 (1) ◽  
pp. 18-29
Author(s):  
Hae Ok Jeon ◽  
Bockryun Kim ◽  
Haesook Kim ◽  
Myung-Ock Chae ◽  
Myeong Ae Kim ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Medication Adherence ◽  
Medication Use ◽  
Opioid Analgesics ◽  
The Elderly ◽  
Factors Influencing

Development and Psychometric Evaluation of the Self-Efficacy for Appropriate Medication Use Scale (SEAMS) in Low-Literacy Patients With Chronic Disease

2007 ◽  
Vol 15 (3) ◽  
pp. 203-219 ◽  
Author(s):  
Jessica Risser ◽  
Terry A. Jacobson ◽  
Sunil Kripalani
Keyword(s):  
Chronic Disease ◽  
Medication Adherence ◽  
Disease Management ◽  
Internal Consistency ◽  
Self Efficacy ◽  
Chronic Disease Management ◽  
Medication Use ◽  
Literacy Skills ◽  
The Self ◽  
Low Literacy

Medication nonadherence remains a significant obstacle to achieving improved health outcomes in patients with chronic disease. Self-efficacy, the confidence in one’s ability to perform a given task such as taking one’s medications, is an important determinant of medication adherence, indicating the need for reliable and valid tools for measuring this construct. This study sought to develop a self-efficacy scale for medication adherence in chronic disease management that can be used in patients with a broad range of literacy skills. The Self-efficacy for Appropriate Medication Use (SEAMS) was developed by a multidisciplinary team with expertise in medication adherence and health literacy. Its psychometric properties were evaluated among 436 patients with coronary heart disease and other comorbid conditions. Reliability was evaluated by measuring internal consistency and test-retest reliability. Principal component factor analysis was performed to evaluate the validity of the SEAMS. Reliability and validity analyses were also performed separately among patients with low and higher literacy levels. The final 13-item scale had good internal consistency reliability (Cronbach’s α = 0.89). A two-factor solution was found, explaining 52.3% of the scale’s variance. The scale performed similarly across literacy levels. The SEAMS is a reliable and valid instrument that may provide a valuable assessment of medication self-efficacy in chronic disease management, and appears appropriate for use in patients with low literacy skills.

scholarly journals Mediators of the association of limited English health literacy with medication non-adherence among Singaporean elderly

2020 ◽  
Vol 29 (1) ◽  
pp. 25-32
Author(s):  
Sumithra Suppiah ◽  
Yi Wen Tan ◽  
Grand H-L Cheng ◽  
Wern Ee Tang ◽  
Rahul Malhotra
Keyword(s):  
Medication Adherence ◽  
Health Literacy ◽  
Medication Use ◽  
Prescription Medication ◽  
The Elderly ◽  
P Value ◽  
Improve Medication Adherence ◽  
Written Information ◽  
Bilingual Text ◽  
Significant Mediator

Background: In Singapore, English is predominantly used on prescription medication labels (PMLs). However, many older Singaporeans cannot read English, and among those who read English, their English health literacy (EHL) proficiency varies. It is thus pertinent to examine the link between EHL and medication use outcomes in this population. The present research aims to address this question. Methods: Data from a national survey, on 1167 home-dwelling elderly on ⩾1 prescribed medication was analysed. The validated Health Literacy Test for Singapore was used to determine EHL. Medication non-adherence was self-reported. Path analysis examined the association between limited EHL and medication non-adherence and tested possible mediators. Results: Limited EHL was associated with medication non-adherence (total effect=0.35; p-value: 0.032), and ‘uncertainty in taking medications correctly due to difficulty in understanding written information on PMLs’ was a significant mediator (indirect effect=0.23, 95% confidence interval (0.12–0.39)). Conclusions: Elderly people with limited EHL were significantly more likely than those with adequate EHL to report that they were uncertain about taking medications correctly because they had difficulty understanding the information on PMLs and this misunderstanding contributed to medication non-adherence. Interventions focused on incorporating bilingual text and/or pictograms on PMLs may reduce uncertainty in taking medication correctly and improve medication adherence among the elderly.

scholarly journals HUBUNGAN FUNGSI KOGNITIF DENGAN KEPATUHAN PENGGUNAAN MEDIKASI PADA LANSIA DI KELURAHAN GIRIAN PERMAI KOTA BITUNG

2019 ◽  
Vol 5 (2) ◽  
pp. 185-192
Author(s):  
Abigail Asfas Tandilangi ◽  
Regina Makawimbang
Keyword(s):  
Cognitive Impairment ◽  
Medication Adherence ◽  
Cognitive Function ◽  
Mini Mental State Examination ◽  
Medication Use ◽  
The Elderly ◽  
Cross Sectional ◽  
Moderate Cognitive Impairment ◽  
Adherence Scale ◽  
State Examination

Elderly is a life process that is characterized by a decline in cognitive function that can cause the inability to carry out activities, especially for the elderly who are undergoing treatment. The purpose of this study was to determine whether there is a relationship between cognitive function and compliance with the use of medication in the elderly in Girian Permai Village. The methods used were observational analytic and cross-sectional. Data were collected using a Mini-Mental State Examination (MMSE) questionnaire for cognitive function and the Morisky Medication Adherence Scale (MMAS) for compliance with medication use. The results showed 26 (52%) elderly experienced moderate cognitive impairment, and 38 (76%) elderly had low adherence to the use of medication, while the results of the correlation test between cognitive function and compliance with the use of medication showed significant values ​​p = (0.008). Researchers' recommendations for the community is to pay more attention and provide support to the elderly who are around the neighborhood, especially specifically for the elderly who are undergoing treatment, so that they can use the drug obediently.

scholarly journals Medication adherence among the elderly: applying grounded theory approach in a developing country

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Peivand Bastani ◽  
Parisa Bikineh ◽  
Gholamhossein Mehralian ◽  
Omid Sadeghkhani ◽  
Rita Rezaee ◽  
...  
Keyword(s):  
Grounded Theory ◽  
Medication Adherence ◽  
Medication Use ◽  
The Elderly ◽  
Theory Approach ◽  
Structured Interviews ◽  
Individual Level ◽  
Axial Coding ◽  
The Individual ◽  
Grounded Theory Approach

Abstract Background Medication adherence is an important concept particularly among the elderly that can, directly and indirectly, affect the health system’s costs and the elderly’s health, quality of life, and functional abilities. This study aimed to determine the model of medication adherence among the Iranian elderly using the grounded theory approach. Methods The concept of medication adherence and the determination of its process among the elderly is a multidisciplinary social issue that can be affected by many contextual factors. Grounded theory with the approach of Strauss and Corbin (2004) was applied to determine the customized model. Data triangulation occurred through semi-structured interviews, observation, field notes, and memoing. Open coding, selective coding, and axial coding were applied to analyze the data. Results Delinquency in the medication use among the elderly was caused by factors such as doubtfulness, fear of complications, not following the patients by the physicians, and negative others and medical staff’s impacts. During the process of medication adherence, the patient’s lack of knowledge, lack of sufficient education, inappropriate and restricted lifestyle, difficult living conditions, and social pressures imposed on individuals could exacerbate and worsen the delinquency in medication adherence. It should not be neglected that some other factors such as lack of an effective supervision system, lack of supportive organizations, stakeholders’ market-based behaviors, consumption inconvenience, consumption stress, hopelessness, and misunderstanding could also aggravate the delinquency. Conclusions Although the proposed theory and model were customized and context-based for the Iranian elderly, in general, making positive changes in the process of adherence to the medication use among the elderly requires scientific and basic management and planning of its factors. It should be noted that making these changes requires some interventions in and cooperation of all levels of the country's health system, from the Ministry of Health and Medical Education to the individual level of the elderly.

scholarly journals Analysis of Medication Adherence and Its Influencing Factors in Patients with Schizophrenia in the Chinese Institutional Environment

2021 ◽  
Vol 18 (9) ◽  
pp. 4746
Author(s):  
Wei Yu ◽  
Jie Tong ◽  
Xirong Sun ◽  
Fazhan Chen ◽  
Jie Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Medication Adherence ◽  
Activities Of Daily Living ◽  
Influencing Factors ◽  
Self Efficacy ◽  
Daily Living ◽  
Institutional Environment ◽  
Factors Influencing ◽  
Quality Of Life Scale

Background: Factors related to medication adherence in patients with schizophrenia have always been key to the treatment and rehabilitation of these patients. However, the treatment modes in different countries are not the same, and there is no research on the factors influencing medication adherence under different mental health service modes. Objectives: The purpose of this study was to explore medication adherence and its influencing factors in patients with schizophrenia in the Chinese institutional environment. Methods: We conducted a cross-sectional study of hospitalized persons living with schizophrenia from November 2018 to January 2019. A systematic sampling method was used to select 217 hospitalized persons living with schizophrenia. The Medication Adherence Rating Scale (MARS), Positive and Negative Syndrome Scale (PANSS), General Self-Efficacy Scale (GSES), Schizophrenia Quality of Life Scale (SQLS), and Scale of Social Skills for Psychiatric Inpatients (SSPI) were used to explore medication compliance and its influencing factors in the Chinese institutional environment. Results: The descriptive analysis and ANOVA showed that there were no significant differences in medication adherence when assessed by demographic characteristics such as sex, marital status, and education level (p > 0.05). A correlation analysis showed that there was no significant correlation between medication adherence and mental symptoms (p > 0.05) but that there was a positive correlation with self-efficacy, quality of life, and activities of daily living (p < 0.01). The linear regression analysis showed that self-efficacy, psychosocial factors, symptoms/side effects, and activities of daily living had significant effects on medication adherence (F = 30.210, p < 0.001). Conclusions: Our findings show that the self-efficacy, quality of life, and social function of patients with schizophrenia are important self-factors influencing medication adherence in the Chinese institutional environment.

scholarly journals Long-term effectiveness of elderly health care voucher scheme strategies: a system dynamics simulation analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ka Chun Chong ◽  
Hong Fung ◽  
Carrie Ho Kwan Yam ◽  
Patsy Yuen Kwan Chau ◽  
Tsz Yu Chow ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Disease ◽  
Public Sector ◽  
System Dynamics ◽  
The Elderly ◽  
Healthcare Services ◽  
Dynamics Simulation ◽  
Public And Private ◽  
The Public ◽  
The Impact

Abstract Background The elderly healthcare voucher (EHCV) scheme is expected to lead to an increase in the number of elderly people selecting private primary healthcare services and reduce reliance on the public sector in Hong Kong. However, studies thus far have reported that this scheme has not received satisfactory responses. In this study, we examined changes in the ratio of visits between public and private doctors in primary care (to measure reliance on the public sector) for different strategic scenarios in the EHCV scheme. Methods Based on comments from an expert panel, a system dynamics model was formulated to simulate the impact of various enhanced strategies in the scheme: increasing voucher amounts, lowering the age eligibility, and designating vouchers for chronic conditions follow-up. Data and statistics for the model calibration were collected from various sources. Results The simulation results show that the current EHCV scheme is unable to reduce the utilization of public healthcare services, as well as the ratio of visits between public and private primary care among the local aging population. When comparing three different tested scenarios, even if the increase in the annual voucher amount could be maintained at the current pace or the age eligibility can be lowered to include those aged 60 years, the impact on shifts from public-to-private utilization were insignificant. The public-to-private ratio could only be marginally reduced from 0.74 to 0.64 in the first several years. Nevertheless, introducing a chronic disease-oriented voucher could result in a significant drop of 0.50 in the public-to-private ratio during the early implementation phase. However, the effect could not be maintained for an extended period. Conclusions Our findings will assist officials in improving the design of the EHCV scheme, within the wider context of promoting primary care among the elderly. We suggest that an additional chronic disease-oriented voucher can serve as an alternative strategy. The scheme must be redesigned to address more specific objectives or provide a separate voucher that promotes under-utilized healthcare services (e.g., preventive care), instead of services designed for unspecified reasons, which may lead to concerns regarding exploitation.

scholarly journals Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Koen Füssenich ◽  
Hendriek C. Boshuizen ◽  
Markus M. J. Nielen ◽  
Erik Buskens ◽  
Talitha L. Feenstra
Keyword(s):  
Chronic Disease ◽  
Hospital Admission ◽  
Medication Use ◽  
Disease Prevalence ◽  
Percentage Error ◽  
Economic Variables ◽  
Regional Patterns ◽  
Prevalence Estimates ◽  
Socio Economic Variables ◽  
Chronic Disease Prevalence

Abstract Background Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use and demographic information to identify disease. The aim of the current study was to obtain small geographic area prevalence estimates for four common chronic diseases by modelling based on medication use and socio-economic variables and next to investigate regional patterns of disease. Methods Administrative hospital records and general practitioner registry data were linked to medication use and socio-economic characteristics. The training set (n = 707,021) contained GP diagnosis and/or hospital admission diagnosis as the standard for disease prevalence. For the entire Dutch population (n = 16,777,888), all information except GP diagnosis and hospital admission was available. LASSO regression models for binary outcomes were used to select variables strongly associated with disease. Dutch municipality (non-)standardized prevalence estimates for stroke, CHD, COPD and diabetes were then based on averages of predicted probabilities for each individual inhabitant. Results Adding medication use data as a predictor substantially improved model performance. Estimates at the municipality level performed best for diabetes with a weighted percentage error (WPE) of 6.8%, and worst for COPD (WPE 14.5%)Disease prevalence showed clear regional patterns, also after standardization for age. Conclusion Adding medication use as an indicator of disease prevalence next to socio-economic variables substantially improved estimates at the municipality level. The resulting individual disease probabilities could be aggregated into any desired regional level and provide a useful tool to identify regional patterns and inform local policy.

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