Medication adherence among patients with Type 2 diabetes: A mixed methods study.
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ABSTRACT:
SUBMITTER: Aloudah NM
PROVIDER: S-EPMC6289442 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
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Project description:Type 2 diabetes (T2D) incurs tremendous healthcare costs associated with various complications due to poor blood sugar control. Medication adherence, which is correlated with patients' health literacy, should be consistently practiced to achieve optimal control of blood sugar. A comprehensive understanding of specific communication and psychosocial factors related to medication-taking behaviors across different levels of health literacy among people with T2D will guide the development of effective interventions and strategies to enhance medication adherence. To understand barriers and facilitators to medication adherence in people with T2D across different health literacy levels, the Health Literacy Pathway Model was used to identify the psychosocial and communication factors that may influence medication adherence. This mixed methods study used an explanatory sequential design, including a quantitative survey followed by qualitative semi-structured interviews. Two hundred and five participants completed the survey questionnaire, and 23 participants completed semi-structured interviews. Confirmed by quantitative and qualitative data, having stronger self-efficacy and fewer concerns about medications, as well as experiencing fewer perceived barriers to medication-taking, are necessary for better medication adherence among those with low adherence. Our findings will be useful to tailor interventions for diabetes care through addressing concerns among low-adherent patients with low health literacy and emphasizing self-efficacy and perceived barriers to medication adherence among all low-adherent patients with T2D.
| S-EPMC8527013 | biostudies-literature
Project description:BackgroundMedication nonadherence is a global public health challenge that results in suboptimal health outcomes and increases health care costs. Forgetting to take medicines is one of the most common reasons for unintentional medication nonadherence. Research findings indicate that voice-activated virtual home assistants, such as Amazon Echo and Google Home devices, may be useful in promoting medication adherence.ObjectiveThis study aims to create a medication adherence app (skill), MedBuddy, for Amazon Echo devices and measure the use, usability, and usefulness of this medication-taking reminder skill.MethodsA single-group, mixed methods, cohort feasibility study was conducted with women who took oral contraceptives (N=25). Participants were undergraduate students (age: mean 21.8 years, SD 6.2) at an urban university in the Southeast United States. Participants were given an Amazon Echo Dot with MedBuddy-a new medication reminder skill for Echo devices created by our team-attached to their study account, which they used for 60 days. Participants self-reported their baseline and poststudy medication adherence. MedBuddy use was objectively evaluated by tracking participants' interactions with MedBuddy through Amazon Alexa. The usability and usefulness of MedBuddy were evaluated through a poststudy interview in which participants responded to both quantitative and qualitative questions.ResultsParticipants' interactions with MedBuddy, as tracked through Amazon Alexa, only occurred on half of the study days (mean 50.97, SD 29.5). At study end, participants reported missing their medication less in the past 1 and 6 months compared with baseline (χ21=0.9 and χ21=0.4, respectively; McNemar test: P<.001 for both). However, there was no significant difference in participants' reported adherence to consistently taking medication within the same 2-hour time frame every day in the past 1 or 6 months at the end of the study compared with baseline (χ21=3.5 and χ21=0.4, respectively; McNemar test: P=.63 and P=.07, respectively). Overall feedback about usability was positive, and participants provided constructive feedback about the skill's features that could be improved. Participants' evaluation of MedBuddy's usefulness was overwhelmingly positive-most (15/23, 65%) said that they would continue using MedBuddy as a medication reminder if provided with the opportunity and that they would recommend it to others. MedBuddy features that participants enjoyed were an external prompt separate from their phone, the ability to hear the reminder prompt from a separate room, multiple reminders, and verbal responses to prompts.ConclusionsThe findings of this feasibility study indicate that the MedBuddy medication reminder skill may be useful in promoting medication adherence. However, the skill could benefit from further usability enhancements.
| S-EPMC8317037 | biostudies-literature
Project description:IntroductionAs the world population ages, glaucoma is becoming an increasingly significant cause of blindness. A key component in the management of glaucoma is the use of prescribed medications and the adherence to treatment. However, there is evidence of low adherence to prescribed medication in chronic diseases, such as glaucoma. This study aims to explore the level of medication adherence, self-efficacy, social support and health literacy among the patients with glaucoma and to determine if there are any correlations between them. The ultimate aim is to use the information to develop an educational programme for patients with glaucoma at a later stage.Methods and analysisThis is a mixed-methods study which includes two stages: a descriptive study (stage 1) and focus group discussions (stage 2).SamplePatients with glaucoma or ocular hypertension, using at least one kind of drops, from two ophthalmology clinics. Selected measures include: The Glaucoma Treatment Compliance Assessment Tool, The European Health Literacy Survey Questionnaire, The Glaucoma Medication Self-Efficacy Questionnaire and The Multidimensional Scale of Perceived Social Support. Two focus groups will be used for the collection of qualitative data, aiming to enrich the study with the patients' experiences. The data will be analysed with SPSS, using descriptive and inferential statistics for stage 1 whereas content analysis will be used for the data from the focus group discussions (stage 2).Ethics and disseminationPermission to conduct the study was received from the National Bioethics Committee and the board of management of the two ophthalmology clinics. All participants will be informed fully on the purpose and methods of the study. Consent forms will be signed and at any time participants will have the right to withdraw. Confidentiality and the protection of data will be respected at all times.
| S-EPMC7818806 | biostudies-literature
Project description:IntroductionLow adherence to medications, specifically in patients with Diabetes (DM) and Hypertension (HTN), and more so in refugee settings, remains a major challenge to achieving optimum clinical control in these patients. We aimed at determining the self-reported medication adherence prevalence and its predictors and exploring reasons for low adherence among these patients.MethodsA mixed-methods study was conducted at Médecins Sans Frontières non-communicable diseases primary care center in the Shatila refugee camp in Beirut, Lebanon in October 2018. Data were collected using the validated Arabic version of the 8-items Morisky Medication Adherence Scale (MMAS-8) concurrently followed by in-depth interviews to explore barriers to adherence in patients with DM and/or HTN. Predictors of adherence were separately assessed using logistic regression with SPSS© version 20. Manual thematic content analysis was used to analyze the qualitative data.ResultsOf the 361 patients included completing the MMAS, 70% (n = 251) were moderately to highly adherent (MMAS-8 score = 6 to 8), while 30% (n = 110) were low-adherent (MMAS-8 score<6). Patients with DM-1 were the most likely to be moderately to highly adherent (85%; n = 29). Logistic regression analysis showed that patients with a lower HbA1C were 75% more likely to be moderately to highly adherent [(OR = 0.75 (95%CI 0.63-0.89), p-value 0.001]. Factors influencing self-reported moderate and high adherence were related to the burden of the disease and its treatment, specifically insulin, the self-perception of the disease outcomes and the level of patient's knowledge about the disease and other factors like supportive family and healthcare team.ConclusionAdherence to DM and HTN was good, likely due to a patient-centered approach along with educational interventions. Future studies identifying additional factors and means addressing the barriers to adherence specific to the refugee population are needed to allow reaching optimal levels of adherence and design well-informed intervention programs.
| S-EPMC8109801 | biostudies-literature
Project description:ObjectivesTo undertake a process evaluation of an adherence support intervention for people with cystic fibrosis (PWCF), to assess its feasibility and acceptability.SettingTwo UK cystic fibrosis (CF) units.ParticipantsFourteen adult PWCF; three professionals delivering adherence support ('interventionists'); five multi-disciplinary CF team members.InterventionsNebuliser with data recording and transfer capability, linked to a software platform, and strategies to support adherence to nebulised treatments facilitated by interventionists over 5 months (± 1 month).Primary and secondary measuresFeasibility and acceptability of the intervention, assessed through semistructured interviews, questionnaires, fidelity assessments and click analytics.ResultsInterventionists were complimentary about the intervention and training. Key barriers to intervention feasibility and acceptability were identified. Interventionists had difficulty finding clinic space and time in normal working hours to conduct review visits. As a result, fewer than expected intervention visits were conducted and interviews indicated this may explain low adherence in some intervention arm participants. Adherence levels appeared to be >100% for some patients, due to inaccurate prescription data, particularly in patients with complex treatment regimens. Flatlines in adherence data at the start of the study were linked to device connectivity problems. Content and delivery quality fidelity were 100% and 60%-92%, respectively, indicating that interventionists needed to focus more on intervention 'active ingredients' during sessions.ConclusionsThe process evaluation led to 14 key changes to intervention procedures to overcome barriers to intervention success. With the identified changes, it is feasible and acceptable to support medication adherence with this intervention.Trial registration numberISRCTN13076797; Results.
| S-EPMC7592300 | biostudies-literature
Project description:IntroductionType 2 diabetes mellitus (T2DM) is a complex, chronic disease affecting multiple organs with varying symptoms and comorbidities. Profiling patients helps identify those with unfavorable disease progression, allowing for tailored therapy and addressing special needs. This study aims to uncover different T2DM profiles based on medication intake records and laboratory measurements, with a focus on how individuals with diabetes move through disease phases.MethodsWe use medical records from databases of the last 20 years from the Department of Endocrinology and Diabetology of the University Medical Center in Maribor. Using the standard ATC medication classification system, we created a patient-specific drug profile, created using advanced natural language processing methods combined with data mining and hierarchical clustering.ResultsOur results show a well-structured profile distribution characterizing different age groups of individuals with diabetes. Interestingly, only two main profiles characterize the early 40-50 age group, and the same is true for the last 80+ age group. One of these profiles includes individuals with diabetes with very low use of various medications, while the other profile includes individuals with diabetes with much higher use. The number in both groups is reciprocal. Conversely, the middle-aged groups are characterized by several distinct profiles with a wide range of medications that are associated with the distinct concomitant complications of T2DM. It is intuitive that the number of profiles increases in the later age groups, but it is not obvious why it is reduced later in the 80+ age group. In this context, further studies are needed to evaluate the contributions of a range of factors, such as drug development, drug adoption, and the impact of mortality associated with all T2DM-related diseases, which characterize these middle-aged groups, particularly those aged 55-75.ConclusionOur approach aligns with existing studies and can be widely implemented without complex or expensive analyses. Treatment and drug use data are readily available in healthcare facilities worldwide, allowing for profiling insights into individuals with diabetes. Integrating data from other departments, such as cardiology and renal disease, may provide a more sophisticated understanding of T2DM patient profiles.
| S-EPMC10358769 | biostudies-literature
Project description:BACKGROUND: Adherence to prescribed medications is a key dimension of healthcare quality. The aim of this large population-based study was to evaluate self-reported medication adherence and to identify factors linked with poor adherence in patients with type 2 diabetes in France. METHODOLOGY: The ENTRED study 2007, a French national survey of people treated for diabetes, was based on a representative sample of patients who claimed reimbursement for oral hypoglycaemic agents and/or insulin at least three times between August 2006 and July 2007, and who were randomly selected from the database of the two main National Health Insurance Systems. Medication adherence was determined using a six-item self-administered questionnaire. A multinomial polychotomous logistic regression model was used to identify factors associated with medication adherence in the 3,637 persons with type 2 diabetes. PRINCIPAL FINDINGS: Thirty nine percent of patients reported good medication adherence, 49% medium adherence and 12% poor adherence. The factors significantly associated with poor adherence in multivariate analysis were socio-demographic factors: age <45 years, non-European geographical origin, financial difficulties and being professionally active; disease and therapy-related factors: HbA(1c)>8% and existing diabetes complications; and health care-related factors: difficulties for taking medication alone, decision making by the patient only, poor acceptability of medical recommendations, lack of family or social support, need for information on treatment, reporting no confidence in the future, need for medical support and follow-up by a specialist physician. CONCLUSIONS: In a country with a high level of access to healthcare, our study demonstrated a substantial low level of medication adherence in type 2 diabetic patients. Better identification of those with poor adherence and individualised suitable recommendations remain essential for better healthcare management.
| S-EPMC3293796 | biostudies-other
Project description:ObjectiveThis study aims to assess medication adherence and explore its predictors in outpatients with type 2 diabetes.MethodThis cross-sectional study collected socio-demographics, disease-related information, and different biomedical variables for type 2 diabetes patients attending a Jordanian Diabetes center. The four-item medication adherence scale (4-IMAS) and the beliefs about medications questionnaire (BMQ) which includes necessity and concerns were used. Stepwise backward quartile regression models were conducted to evaluate variables associated with the Necessity and Concerns scores. Stepwise ordinal regression was conducted to evaluate variables associated with adherence.Results287 diabetic patients participated in the study. Almost half of the participants (46.5%) reported moderate adherence and 12.2% reported low adherence. Significant predictors of the adherence were necessity score (OR = 14.86, p <0.01), concern score (OR = 0.36, p <0.05), and frequency of medication administration (OR = 0.88, p- <0.01). Education was a significant predictor of Necessity and Concerns scores (β = 0.48, -0.2, respectively).ConclusionSimplifying the medication regimen, emphasizing medication necessity and overcoming medication concerns should be targeted in future diabetes intervention programs to improve medication adherence and hence glycemic control among diabetic patients.
| S-EPMC8382191 | biostudies-literature
Project description:BackgroundThe self-management of type 2 diabetes mellitus (T2DM), which involves adherence to medical instructions on diet and nutritional advice, physical activity, medication regimen, and weight and stress management, is necessary for the treatment of T2DM.In this study, we investigated the relationship between patients' perceptions of their disease and their adherence to their medications. And we attempted to determine whether distinct subphenotypes of behavioral change of medication adherence can be discerned based on a patients' perceptions.MethodA cross-sectional study using a questionnaire was conducted among 157 patients with T2DM from October 2015 to September 2017. Questionnaires were administered to assess the participants' demographic and clinical characteristics, medication adherence, diabetes knowledge, and perception of being diabetic. Principal component analysis (PCA) and cluster analyses were performed to classify medication adherence patterns in the total cohort. Multiple regression analyses were performed to identify the determinant factors of medication adherence.ResultsPCA showed the interpretable medication adherence of patients with diabetes by using component 1 ("accessibility to medical treatment") and component 2 ("status of taking medicines"). We identified four groups that show significantly different medication adherence by using cluster analysis on the basis of the two components. Multiple regression analysis showed that body mass index (BMI), family history of diabetes, one factor of patient's perception (living an orderly life), and diabetes knowledge were found to be significant predictors of medication adherence in patients with T2DM.ConclusionsIn patients with T2DM, the patient's diabetes perception of "living an orderly life" is associated with medication adherence. A poor adherence group may be able to change their adherence to diabetes treatment by developing the perception of "living an orderly life."
| S-EPMC6341584 | biostudies-literature
Project description:Background:Type 2 diabetes mellitus (T2DM) is a major public health problem associated with distress. T2DM can affect health outcomes and adherence to medications. Little is however known about the association between diabetes distress and medication adherence among patients with T2DM in Ghana. Objective:The objective of the present study is twofold: to estimate distress associated with T2DM and to examine its association with medication adherence. Methods:A hospital-based cross-sectional study was conducted among 188 patients with T2DM recruited from a diabetes specialist outpatient clinic at the Pantang Hospital in Accra, Ghana. Data were obtained using the Problem Areas In Diabetes (PAID) scale and the Medication Adherence Report Scale. Results:The findings showed that about 44.7% of the patients showed high levels of diabetes-related distress. Poor adherence to medications was recorded in 66.5% of the patients. Patients who were highly distressed had 68% lower odds of adhering to their medications compared to those who were not (OR: 0.32, 95% CI: 0.15-0.65). A principal component analysis revealed four areas of T2DM distress which were conceptualized as negative emotions about diabetes, dietary concerns and diabetes care, dissatisfaction with external support, and diabetes management helplessness. Conclusion:Our findings suggest that diabetes distress is a significant determinant of medication adherence behaviour in patients with T2DM. Thus, incorporating routine screening for distress into the standard diabetes care within the Ghanaian health system and having health practitioners adopt holistic approaches to diabetes management will be important context-specific interventions to improve adherence and health outcomes of people living and coping with T2DM.
| S-EPMC7071811 | biostudies-literature