Investigation of Barriers and Facilitators to Medication Adherence in Patients With Type 2 Diabetes Across Different Health Literacy Levels: An Explanatory Sequential Mixed Methods Study

Translation and Validation of the Medication Understanding and Use Self-Efficacy Scale Among Patients With Type 2 Diabetes in Taiwan

OBJECTIVE

The study aimed to translate and assess the validity and reliability of the Traditional Chinese version of the Medication Understanding and Use Self-Efficacy Scale (MUSE-TC) among patients with type 2 diabetes (T2D) in Taiwan.

METHODS

The original 8-item MUSE was translated into Traditional Chinese using a forward and backward translation method. The translations were reviewed by four experts in pharmacy practice and educational psychology. The validity and reliability of the MUSE-TC were assessed in a cross-sectional study among adults with T2D who were taking diabetes medications. Participants were recruited from five community pharmacies in Taiwan between June 2023 and May 2024. Internal consistency of the MUSE-TC was measured using McDonald's omega (ω), while construct validity was evaluated through confirmatory factor analysis. Criterion validity was established by examining the relationship between self-efficacy and medication adherence.

RESULTS

A total of 274 patients participated in the study. Confirmatory factor analysis identified a two-factor structure for the 8-item MUSE-TC, consisting of the "taking medication" and "learning about medication" domains. All items loaded onto their intended factors, with factor loadings ranging from 0.433 to 0.511. The scale demonstrated excellent internal consistency, with McDonald's ω values of 0.914 for the "taking medication" domain and 0.906 for the "learning about medication" domain. These robust psychometric properties were further supported by criterion validity, as self-efficacy was shown to be associated with medication adherence. Specifically, the "taking medication" domain was positively correlated with fewer barriers to medication-taking (r = 0.382, p < 0.001), suggesting that individuals with higher self-efficacy tend to adhere to their prescribed medication regimen.

CONCLUSIONS

This study presents the MUSE-TC with psychometrically sound properties that will enable healthcare professionals to prospectively assess self-efficacy in medication use and evaluate the impact of self-efficacy on a variety of health outcomes across patients with different chronic diseases.

PATIENT OR PUBLIC CONTRIBUTION

Patients, pharmacists, pharmacy staff, and academic experts worked together on the translation and validation of this self-efficacy scale for medication adherence among individuals with chronic illnesses. Community engagement played a key role in translating the scale, recruiting participants, collecting data, conducting analysis, and interpreting the findings. These collaborative efforts ensure the study relevance and applicability to patient care in routine healthcare settings.

Medication refills do not guarantee medication intake: translation and validation of the Adherence to Refills and Medications Scale in Traditional Chinese among individuals with type 2 diabetes in Taiwan

OBJECTIVE

This study aimed to translate and validate the Adherence to Refills and Medications Scale into Traditional Chinese (ChARMS-T) and to investigate common barriers to medication adherence among patients with type 2 diabetes (T2D) in Taiwan.

METHODS

The ChARMS-T was developed through translation and application phases. During the translation phase, the scale underwent forward translation, backward translation, and cognitive debriefing. In the application phase, the finalized ChARMS-T was administered to patients with T2D at five Taiwan community pharmacies over eleven months starting in June 2023. Psychometric properties were assessed using criterion validity, construct validity through confirmatory factor analysis, and reliability through McDonald's omega.

RESULTS

A total of 343 participants completed surveys. Factor analysis of the 12-item ChARMS-T revealed two dimensions: medication-taking (8 items) and medication refill (4 items). The instrument demonstrated acceptable internal consistency, with McDonald's omega scores of 0.841 for medication-taking and 0.647 for medication refill. The medication refill subscale showed strong agreement with the objective refill measure, proportion of days covered, with a coefficient of 0.84, suggesting that these measures evaluate similar constructs. Evidence of known-groups validity was demonstrated by a significant difference between ChARMS-T scores and glycemic control (p = 0.047). Patients with good glycemic control had a significantly higher adherence rate to both refills and medication-taking compared to those with poor glycemic control. The most frequently reported barriers to medication-taking were carelessness (55.7%), forgetfulness (54.8%), and frequent dosing intervals (43.1%). For medication refills, 9.6% of the participants identified a lack of planning as the main reason for not refilling their diabetes medications on time, followed by forgetfulness (7.6%).

CONCLUSIONS

The ChARMS-T identified a broader range of non-adherence reasons and demonstrated good psychometric properties. It can be integrated into practice settings for screening and follow-up to enhance medication adherence through effective communication between healthcare professionals and patients, ultimately improving long-term patient health outcomes.

Predictors to Poor Quality of Life Among Patients with Heart Failure and Its Correlation with Their Medication Adherence: Finding for Healthcare Improvement and Follow-Up

Background

Understanding medication adherence and its relationship with quality of life (QoL) is essential for improving health outcomes in patients with heart failure (HF).

Objective

This study aimed to investigate the predictors of poor quality of life and its relationship with medication adherence among patients with heart failure.

Methods

A cross-sectional correlational study was performed on 229 patients with HF receiving care at the Cardiac Center of King Salman Specialist Hospital from March to June 2024. Data were collected using a structured questionnaire comprising patient demographics, the Minnesota Living with Heart Failure Questionnaire (MLHFQ) to assess QoL, and the General Medication Adherence Scale (GMAS) to measure medication adherence.

Results

The mean medication adherence score among patients with heart HF was 17.53 ± 6.94. The level of adherence was moderate among most patients (47.2%), high (29.7%), and poor (23.1%). Regarding QoL, the mean total score for overall QoL was 42.16 ± 20.53. Specifically, the mean scores were 15.24 ± 8.65 and 10.53 ± 5.82 for the physical and emotional dimensions of QoL, respectively. More than half of the patients experienced poor QoL, while moderate QoL was observed in 31.9% and good QoL in 17% of patients. Furthermore, there were moderate negative correlations between medication adherence and physical QoL (r= -0.51), emotional QoL (r = -0.59), and overall QoL (r = -0.59), all of which were statistically significant (p <0.001).

Conclusion

Moderate-to-poor levels of medication adherence and QoL were found among HF patients receiving care in Hail City. Therefore, interventions to improve medication adherence among patients with HF must be prioritized to enhance health outcomes and QoL. It is also crucial to address the factors that negatively influence medication adherence to overcome the barriers that hinder optimal medication adherence.

Exploration of Features of Mobile Applications for Medication Adherence in Asia: Narrative Review

BACKGROUND

Medication is crucial for managing chronic diseases, yet adherence rates are often suboptimal. With advanced integration of IT and mobile internet into health care, mobile apps present a substantial opportunity for improving adherence by incorporating personalized educational, behavioral, and organizational strategies. However, determining the most effective features and functionalities for these apps within the specific health care context in Asia remains a challenge.

OBJECTIVE

We aimed to review the existing literature, focusing on Asian countries, to identify the optimal features of mobile apps that can effectively enhance medication adherence within the unique context of Asian societies.

METHODS

We conducted a narrative review with the SPIDER (sample, phenomenon of interest, design, evaluation, research type) tool. We identified studies on mobile apps for medication adherence from January 2019 to August 2024 on PubMed and Scopus. Key search terms included "Asia," "chronic disease," "app," "application," "survey," "experiment," "questionnaire," "group," "medical adherence," "medication adherence," "case-control," "cohort study," "randomized controlled trial," "clinical trial," "observational study," "qualitative research," "mixed methods," and "analysis," combined using logical operators "OR" and "AND." The features of mobile apps identified in the studies were evaluated, compared, and summarized based on their disease focuses, developers, target users, features, usability, and use.

RESULTS

The study identified 14 mobile apps designed to enhance medication adherence. Of these, 11 were developed by research teams, while 3 were created by commercial companies or hospitals. All the apps incorporated multiple features to support adherence, with reminders being the most common, present in 11 apps. Patient community forums were the least common, appearing in only 1 app. In total, 6 apps provided lifestyle modification functions, offering dietary and exercise recommendations, generating individualized plans, and monitoring progress. In addition, 6 apps featured health data recording and monitoring functions, with 4 allowing users to export and share records with researchers or health care professionals. Many apps included communication features, with 10 enabling feedback from researchers or health care professionals and 7 offering web-based consultation services. Educational content was available in 8 apps, and 7 used motivation strategies to encourage adherence. Six studies showed that mobile apps improved clinical outcomes, such as blood glucose, lipid, and pressure, while reducing adverse events and boosting physical activities. Twelve studies noted positive humanistic effects, including better medication adherence, quality of life, and user satisfaction.

CONCLUSIONS

This review has identified key components integrated into mobile apps to support medication adherence. However, the lack of government and corporate involvement in their development limits the generalizability of any individual app. Beyond basic reminder functions, features such as multiuser support, feedback mechanisms, web-based consultations, motivational tools, and socialization features hold significant promise for improving medication adherence. Further pragmatic research is necessary to validate the effectiveness of these selected apps in enhancing adherence.

Understanding the struggle: Unique challenges of adherence in male diabetic patients in Tshwane

BACKGROUND

Type 2 diabetes prevalence is steadily increasing worldwide, and South Africa is one of the countries in Africa with the highest prevalence of this disease, along with other non-communicable diseases. The adherence to treatment in male patients with type 2 diabetes is influenced by their attitudes towards medication and how they perceive their condition. To some extent, these factors impact the treatment outcomes for patients undergoing type 2 diabetes treatment. The purpose of this study was to investigate the perceptions of male patients with type 2 diabetes on their adherence to diabetic therapy. The study was conducted in the clinics of the City of Tshwane Metropolitan municipality in Gauteng.

METHODS

This study followed a qualitative, exploratory design. Data were gathered from 15 male patients who were purposefully sampled through in-person, one-on-one interviews with the principal investigator. The eight steps outlined by Tesch were used to analyse the participant data.

RESULTS

Emergent themes indicated that there were barriers to adherence to diabetic treatment and also factors that promoted adherence to diabetic treatment among the participants. Several factors were found to affect treatment uptake among the participants.

CONCLUSION

Patients demonstrated various reactions to diabetic treatment, highlighting the need for reinforcing education at the time of diagnosis and treatment initiation. Additionally, regular patient follow-up may be essential to improve adherence among patients.Contribution: The study highlights the importance of health promotion and the need to develop materials for medication-specific counselling for patients receiving diabetic treatment, in order to promote adherence.

Determinants of Adherence to Treatment in Type 2 Diabetic Patients: A Directed Qualitative Content Analysis Based on Pender's Health Promotion Model

Adherence to the treatment of type 2 diabetes (T2D), which includes the use of prescribed drugs, following a healthy diet, and adopting a physically active lifestyle, is important to control the disease and improve the patients' quality of life. The present study aimed to explain the determinants of adherence to treatment in patients with T2D based on Pender's Health Promotion Model (HPM). The present research used a qualitative content analysis and was based on Pender's HPM. The data were collected through in-depth semi-structured interviews with 20 T2D patients using a purposive sampling in Bandar Abbas, southern Iran. Maximum variation was considered in terms of gender, age, history of diabetes, type of drug used, education, and occupation. The data collection continued until data saturation. At the same time, the collected data were analyzed using the directed content analysis. MAXQDA 10 was used to manage codes and facilitate data analysis. The data analysis led to the extraction of 10 categories and 19 subcategories as the determinants of adherence to the treatment of T2D patients. The participants shared their experiences about personal characteristics and their ecological environment, specific cognition and emotions, and the behavioral results and experience as the determinants of adherence to T2D treatment. The categories extracted from this study in the form of HPM constructs provided a framework to explain treatment adherence. This information can help policy makers and planners in designing future programs.

Strengthening scientific credibility in the face of misinformation and disinformation: Viable solutions

Despite numerous attempts to mitigate their spread, misinformation and disinformation are rampant on social media and other public networks, posing a substantial risk to public health and individual well-being. A concerted, multi-channel approach is required to effectively tackle this evolving problem. This paper outlines potential strategies and actionable plans to improve the response to misinformation and disinformation by stakeholders from various healthcare ecosystems.

Socio-personal factors affecting adherence to treatment in patients with type 2 diabetes: A systematic review and meta-analysis

PURPOSE

The purpose of study was to identify the socio-personal factors affecting adherence to the treatment of patients with type 2 diabetes.

METHODS

Cross-sectional articles were extracted from databases such as Web of Science, PubMed, Elsevier. A meta-analysis was performed using integrated odds ratios (OR) and 95% confidence interval (CIs) for age, BMI, depression, educational level, gender, employment status, marital status, smoking status. STATA 12.0 was used to estimate pooled RR in definite subgroups. The quality of the studies included was evaluated using the STROBE checklist.

RESULTS

Thirty-one studies out of 7407 extracted articles were finally selected for the meta-analysis. The results showed that younger people had a 17% higher risk than older people, smokers had a 22% higher risk than non-smokers, and the employed had a 15% higher risk of non-adherence to treatment.

CONCLUSION

In conclusion, older age, smoking and employment can lead to non-adherence to T2D treatment. Interventions are suggested to be made besides common health care considering the socio-personal features on type 2 diabetes patients' treatment adherence.

The role of medication adherence in the association between depressive symptoms and quality of life in older adults with type 2 diabetes mellitus

BACKGROUND

At present, the role of medication adherence in the association between depressive symptoms and quality of life (QOL) in older adults with type 2 diabetes mellitus (T2DM) was unclear. The purpose of this study was to explore the associations among depressive symptoms, medication adherence and QOL in older adults with T2DM.

METHODS

In this cross-sectional study, 300 older adults with T2DM from the First Affiliated Hospital of Anhui Medical University were enrolled. Among them, 115 patients had depressive symptoms and 185 had no depressive symptoms. Univariate linear regression analysis was conducted to identify possible covariates. Univariate and multivariable linear regression analyses were performed to explore the associations between depressive symptoms and medication adherence or QOL in older adults with T2DM. Multiplicative interaction analysis was evaluated whether there was interaction effect between medication adherence and depressive symptoms on QOL of patients. Mediating effect analysis was used to analyze the medication effect of medication adherence on depressive symptoms and QOL in older adults with T2DM.

RESULTS

Decreased medication adherence was observed in patients with depressive symptoms (β = -0.67, 95%CI: -1.10, -0.24) after adjusting for covariates. Depressive symptoms were associated with decreased QOL in older adults with T2DM (β = -5.99, 95%CI: -7.56, -4.42). The mediating analysis revealed that depressive symptoms were associated with decreased medication adherence (β = -0.67, 95%CI: -1.09, -0.25). Medication adherence was linked with increased QOL of older adults with T2DM (β = 0.65, 95%CI: 0.24, 1.06). Depressive symptoms were correlated with decreased QOL of older adults with T2DM (β = -5.56, 95%CI: -7.10, -4.01). The percentage mediated by medication adherence on depressive symptoms and QOL in older adults with T2DM was 10.61%.

CONCLUSION

Medication adherence might mediate depressive symptoms and QOL of older adults with T2DM, which might provide a reference for the improvement of QOL of these patients.

Factors affecting nonadherence to treatment among type 2 diabetic patients with limited health literacy: Perspectives of patients, their families, and healthcare providers

BACKGROUND

Treatment adherence is one of the behaviors associated with type 2 diabetes that predicts whether it will be successfully treated or develop complications and become uncontrolled. This study aimed to determine factors affecting nonadherence to treatment among diabetic patients with limited health literacy from the perspectives of patients, their families, and healthcare providers.

MATERIALS AND METHODS

This qualitative study with a content analysis approach was conducted on 84 eligible type 2 diabetes patients with limited health literacy and poor adherence to treatment, as well as their families and healthcare providers using a purposive sampling method, in Kerman city in 2021. Interviews were conducted using a semistructured interview guide with a broad, open-ended question to provide a general history of the disease separately. The interviewer asked participants to identify the perceived barriers to treatment nonadherence. Each interview lasted 45-60 min. MAXQDA version 20 and inductive content analysis were used to code and analyze extracted data.

RESULTS

Four major themes emerged from the patients' perspectives as "financial problems," "individual factors," "problems related to medication availability," and "healthcare providers' poor practices." Two major themes were classified from the perspective of patients' families as "financial problems" and "Individual factors," and four major themes were identified from the viewpoint of healthcare providers including "financial problems," "individual factors," "scarcity and medication availability," and "poor practice of the healthcare provider." These mentioned barriers were confirmed regarding treatment nonadherence among study participants.

CONCLUSION

Study findings revealed different factors of treatment nonadherence among diabetic patients with limited health literacy. Therefore, these factors should be considered in tailoring promotive educational and supportive interventions. Considering the importance of adherence to treatment patients, planning empowerment family-based interventions focusing on health literacy improvement seems necessary.

Factors affecting the health literacy status of patients with type 2 diabetes through demographic variables: A cross-sectional study

BACKGROUND

Health literacy (HL) is the ability of a person to acquire the process, understand the necessary health information, and make the health services needed for conscious health decisions. Besides, diabetes is the most common metabolic disorder that affects patients' quantity and quality of life. This study focused on determining the factors that affect the HL status of patients with type 2 diabetes (T2D) through the role of the demographic variables.

MATERIALS AND METHODS

This descriptive-analytical research survey recruited a sample based on 280 patients with T2D at the Diabetes Research Center of Ayatollah Taleghani Hospital in Kermanshah in 2020. This study selected patients with T2D using a simple random sampling technique. The study applied the demographic information questionnaire and the Functional, Communicative, and Critical HL Scale to collect data from patients with T2D. This study used the SPSS version 23 on the received data sets to perform statistical analysis, including t-test, analysis of the variance, and multiple regression, to predict the factors affecting HL among diabetes patients.

RESULTS

The study results showed that the mean age of the participating patients with T2D was 55.80 ± 13.04. The results indicated the mean score and standard deviation of total HL score in patients with T2D 2.70 ± 0.44. The findings specified a statistically significant relationship between HL, gender, education, occupation, income, and place of residence. Results indicated that β-coefficients of the multiple regression analysis and the income variable (β = 0.170), age (β = 0.176), and employment variable (β = 0.157). These are the most predictive of the HL of patients with T2D.

CONCLUSION

The results of this study specified that the HL rate of individuals with diabetes type 2 is average. The potential communicative and critical HL influence is essential for communication and education for diabetes patients in the primary health-care system settings. The findings indicate that communicative and critical HL related to patients' management and functional HL looks passable in this study.

Applying mixed methods to pilot feasibility studies to inform intervention trials

BACKGROUND

Pilot feasibility studies serve a uniquely important role in preparing for larger scale intervention trials by examining the feasibility and acceptability of interventions and the methods used to test them. Mixed methods (collecting, analyzing, and integrating quantitative and qualitative data and results) can optimize what can be learned from pilot feasibility studies to prepare rigorous intervention trials. Despite increasing use of mixed method designs in intervention trials, there is limited guidance on how to apply these approaches to address pilot feasibility study goals. The purpose of this article is to offer methodological guidance for how investigators can plan to integrate quantitative and qualitative methods within pilot feasibility studies to comprehensively address key research questions.

METHODS

We used an informal consensus-based process informed by key methodological resources and our team's complementary expertise as intervention researchers and mixed methodologists to develop guidance for applying mixed methods to optimize what can be learned from pilot feasibility studies. We developed this methodological guidance as faculty in the Mixed Methods Research Training Program (MMRTP) for the Health Sciences (R25MH104660) funded by the National Institutes of Health through the Office of Behavioral and Social Science Research.

RESULTS

We provide the following guidance for applying mixed methods to optimize pilot feasibility studies: (1) identify feasibility domain(s) that will be examined using mixed methods, (2) align quantitative and qualitative data sources for the domain(s) selected for mixing methods, (3) determine the timing of the quantitative and qualitative data collection within the flow of the pilot study, (4) plan integrative analyses using joint displays to understand feasibility, and (5) prepare to draw meta-inferences about feasibility and implications for the future trial from the integrated data.

CONCLUSIONS

By effectively integrating quantitative and qualitative data within pilot feasibility studies, investigators can harness the potential of mixed methods for developing comprehensive and nuanced understandings about feasibility. Our guidance can help researchers to consider the range of key decisions needed during intervention pilot feasibility testing to achieve a rigorous mixed methods approach generating enhanced insights to inform future intervention trials.

Determinants of Poor Treatment Adherence among Patients with Type 2 Diabetes and Limited Health Literacy: A Scoping Review

Prevention of complications and successful control of diabetes require preventive and therapeutic measures. Patients' nonadherence to medication and diet regimens and healthcare protocols is associated with significant therapeutic and economic consequences. The present scoping review aims to identify determinants of poor treatment adherence among patients with type 2 diabetes and limited health literacy in 2021. This scoping review was conducted in five stages: designing a research question, searching and extracting related studies, selecting related studies, tabulating information, and reporting results. Data were collected from six foreign electronic databases (Embase, Science Direct, PubMed, Google Scholar, Scopus, and Web of Science) and four Iranian electronic databases (MagIran, SID, IranDoc, and IranMedex) using keywords "Type 2 diabetes", "barriers", "treatment", "medication", "adherence", "non-adherence", "limited adherence", and "limited health literacy" from January 2010 to November 2021. From an initial 146 articles, 18 articles were eligible for review. Eighteen studies involving 3925 patients with T2DM from eight countries were included. The prevalence of nonadherence ranged from 42% to 74.3%. Barriers to treatment adherence, which were common among the articles, included economic problems, poor communication with healthcare team, lack of family support, lack of knowledge, misconceptions, and limited health literacy. The results of the present study provided modifiable and nonmodifiable factors affecting treatment adherence among patients with type 2 diabetes. Modifiable factors are essential by performing appropriate interventions with the target group and health professionals.