Understanding immunosuppression medication adherence in kidney transplant recipients: a cross-sectional exploration of the role of illness perceptions, medication beliefs and perceived behavioural control

Intentional and Unintentional Nonadherence to Ocular Hypotensive Treatment in Patients with Glaucoma

Tamoxifen non-adherence is apparent in up to half of breast cancer survivors and is associated with increased risk of recurrence and reduced quality of life. However, factors contributing to non-adherence in this population are currently poorly understood. This study explored the relationship between key components of the Common Sense Model of Illness Representations (CSM)/the Theory of Planned Behaviour (TPB) and intentional and unintentional non-adherence in a large sample of women prescribed tamoxifen following primary breast cancer. Cross-sectional questionnaire study (n=777). Women were eligible if they were over 18, had been diagnosed with primary breast cancer, and had been prescribed tamoxifen. Participants were recruited in clinic or online and completed questionnaires assessing illness perceptions, treatment beliefs, adherence, quality of life, social support, distress, and the key TPB components. Logistic regressions were conducted to test elements from each model and to identify correlates of intentional and unintentional non-adherence. Patients were classified as non-adherent based on Medication Adherence Rating Scale scores; 44% of the population were non-adherent; 41% reported unintentional non-adherence, and 9% reported intentional non-adherence. Study variables accounted for more variance in intentional (Nagelkerke R2 =46%) than unintentional non-adherence (Nagelkerke R2 =17%). Intentional non-adherence was best explained by a combination of TPB and CSM variables, but these variables did not contribute significantly to unintentional non-adherence. The TPB and the CSM provide a useful framework for understanding intentional tamoxifen non-adherence. Elements from both models should be considered when designing interventions to increase adherence rates. Statement of contribution What is already known about this subject? Non-adherence to tamoxifen is common and is associated with poor clinical outcomes. Few modifiable predictors of tamoxifen non-adherence have been identified. What does this study add? Unintentional non-adherence is reported much more frequently than intentional non-adherence. Elements from the CSM and TPB provide a useful framework for understanding non-adherence to tamoxifen. Unique correlates were found for intentional and unintentional non-adherence.

The purpose of this study was to investigate the relationship between health literacy and overall medication nonadherence, unintentional nonadherence, and intentional nonadherence. Limited health literacy may be associated with worse diabetes outcomes, but the literature shows mixed results, and mechanisms remain unclear. Medication adherence is associated with diabetes outcomes and may be a mediating factor. Distinguishing between unintentional and intentional nonadherence may elucidate the relationship between health literacy and nonadherence in patients with type 2 diabetes. Cross-sectional study of 208 patients with type 2 diabetes recruited from a primary care clinic in St. Louis, Missouri. Information was obtained from written questionnaire and patient medical records. Bivariate and multivariable regression were used to examine predictors of medication nonadherence. The majority of patients in the study were low income, publicly insured, and African American, with limited health literacy and a high school/GED education or less. In multivariable models, limited health literacy was significantly associated with increased unintentional nonadherence but not intentional nonadherence. Results suggest differences in factors affecting intentional and unintentional nonadherence. The findings also suggest interventions are needed to decrease unintentional nonadherence among patients with type 2 diabetes and limited health literacy. Efforts to address unintentional medication nonadherence among patients with type 2 diabetes with limited health literacy may improve patient health.

A qualitative secondary data analysis of intentional and unintentional medication nonadherence in adults with chronic heart failure

PRM24 EXPLORING THE INTERRELATIONSHIP BETWEEN UNINTENTIONAL AND INTENTIONAL NONADHERENCE AMONG 24,071 ADULTS WITH CHRONIC DISEASE

PurposeWe assessed medication nonadherence, categorized as intentional or unintentional, and related factors in elderly patients with hypertension, correlating the data with measurement of blood pressure as the final target of medication adherence and other possible influencing factors, such as lifestyle.Patients and methodsSubjects were aged ≥65 years, resided in a rural area, and were taking antihypertensive drugs. The survey was conducted in July 2014. Participants were divided into the following three groups: “Adherence”, “Unintentional nonadherence”, and “Intentional nonadherence”. Individual cognitive components, such as necessity and concern as well as self-efficacy and other related factors, were compared according to adherence groups. The interrelationships between those factors and nonadherence were tested using structural equation modeling analysis.ResultsOf the 401 subjects, 182 (45.6%) were in the adherence group, 107 (26.7%) in the unintentional nonadherence group, and 112 (27.9%) in the intentional nonadherence group. Necessity and self-efficacy were found to have a significant direct influence on unintentional nonadherence behaviors (necessity β=−0.171, P=0.019; self-efficacy β=−0.433, P<0.001); concern was not statistically significant (β=−0.009, P=0.909). Necessity was found to have significant direct and indirect impact on intentional nonadherence (direct β=−0.275, P=0.002; indirect β=−0.113, P=0.036). Self-efficacy had no significant direct effect on intentional nonadherence though it had the only significant indirect effect on intentional nonadherence (direct β=−0.055, P=0.515; indirect β=−0.286, P<0.001). Concern had no significant influence on intentional or on unintentional nonadherence (direct β=0.132 0.132, P=0.151; indirect β=−0.006, P=0.909).ConclusionUnintentional nonadherence should be regularly monitored and managed because of its potential prognostic significance. Interventions addressing cognitive factors, such as beliefs about medicine or self-efficacy, are relatively difficult to implement, but are essential to improve medication adherence.

Adherence to antiretroviral therapy is essential to treatment success for individuals living with HIV/AIDS. Despite the wealth of studies in examining antiretroviral non-adherence, few have distinguished between intentional and unintentional non-adherence. The present study attempted to identify factors associated with adherence, intentional non-adherence, and unintentional non-adherence among HIV+ individuals using a longitudinal design. Dietary instructions and medication schedule were also included to measure the subtleties of antiretroviral adherence. One hundred and two HIV+ patients who were under antiretroviral therapy were recruited in an outpatient clinic in Hong Kong at baseline with six months follow-up. Using the conventional adherence rate, only 12 (11.8%) of participants reported having missed/ altered medication in the past four days. However, using a more comprehensive assessment, only 27 (26.5%) participants were classified as adherers. Results showed that, adherers were significantly older and had higher adherence self-efficacy than those who were unintentional or intentional non-adherers. Participants classified as unintentional non-adherers had longer length of diagnosis and started medication longer than adherers and intentional non-adherers. Participants classified as intentional non-adherers had worse mental health, higher level of self-stigma, and reported higher score in avoidant coping than adherers and unintentional non-adherers. They also scored higher in physical symptoms than adherers. Findings highlight the importance of a reliable, comprehensive measurement for adherence and extend on previous adherence literature that intentional and unintentional non-adherence are separate entities and are associated with different factors. Future research should understand the intentions behind non-adherence and this would serve as an important guide in the development of interventions aimed at improving antiretroviral adherence for HIV+ patients.

Hypertension is poorly controlled in the US due to medication nonadherence. Recent evidence suggests that nonadherence can be classified as intentional or unintentional and different patient characteristics, such as the experience of adverse effects, may be associated with each. To examine associations between patient characteristics, including reported adverse effects, and both intentional and unintentional nonadherence among 588 hypertensive patients. Baseline data from a clinical trial, the Veterans' Study To Improve the Control of Hypertension, were examined. Intentional and unintentional nonadherence were assessed using a self-report measure. Participants were presented with a list of adverse effects commonly associated with antihypertensive medication and asked to indicate which symptoms they had experienced. Logistic regression analyses were used to examine adjusted associations between patient characteristics and type of nonadherence. Approximately 31% of patients reported unintentional nonadherence and 9% reported intentional nonadherence. Non-white participants, individuals without diabetes mellitus, and individuals reporting > or = 5 adverse effects were more likely to report intentional nonadherence than their counterparts. Individuals with less than a 10th-grade education and non-white participants were more likely to report unintentional nonadherence than their counterparts. When symptoms of increased urination and wheezing/shortness of breath were reported, patients were more likely to report intentional and unintentional nonadherence compared with those who were adherent. Unintentional nonadherence was also associated with reports of dizziness and rapid pulse. Both intentional and unintentional nonadherence are common and related to perceived adverse effects. Furthermore, different interventions may be necessary to improve adherence in unintentionally and intentionally nonadherent patients.

Medication non-adherence is a missed opportunity for therapeutic benefit. We assessed “real-world” levels of self-reported non-adherence to conventional and biologic systemic therapies used for psoriasis and evaluated psychological and biomedical factors associated with non-adherence using multivariable analyses. Latent profile analysis was used to investigate whether patients can be categorized into groups with similar medication beliefs. Latent profile analysis categorizes individuals with similar profiles on a set of continuous variables into discrete groups represented by a categorical latent variable. Eight hundred and eleven patients enrolled in the British Association of Dermatologists Biologic Interventions Register were included. Six hundred and seventeen patients were using a self-administered systemic therapy; 22.4% were classified as “non-adherent” (12% intentionally and 10.9% unintentionally). Patients using an oral conventional systemic agent were more likely to be non-adherent compared to those using etanercept or adalimumab (29.2% vs. 16.4%; P ≤ 0.001). Latent profile analysis supported a three-group model; all groups held strong beliefs about their need for systemic therapy but differed in levels of medication concerns. Group 1 (26.4% of the sample) reported the strongest concerns, followed by Group 2 (61%), with Group 3 (12.6%) reporting the weakest concerns. Group 1 membership was associated with intentional non-adherence (odds ratio = 2.27, 95% confidence interval = 1.16−4.47) and weaker medication-taking routine or habit strength was associated with unintentional non-adherence (odds ratio = 0.92, 95% confidence interval = 0.89−0.96). Medication beliefs and habit strength are modifiable targets for strategies to improve adherence in psoriasis.

Nonadherence to medical regimens is a major problem in health care. Distinguishing between intentional nonadherence (missing/altering doses to suit one's needs) and unintentional nonadherence (forgetting to take medication) may help in understanding nonadherence. Participants with respiratory conditions completed an anonymous questionnaire about (i) nonadherence; (ii) reasons for and against taking medications; and (iii) perceived style of the consultation in which their medication was first prescribed, as well as demographic and clinical variables. Consistent with the hypotheses, intentional nonadherence is predicted by the balance of individuals' reasons for and against taking medication as suggested by the Utility Theory, where these reasons include only those which the individual considers relevant and on which he/she focuses. Unintentional nonadherence is less strongly associated with decision balance, and more so with demographics. The research highlights the importance of (a) treating intentional and unintentional nonadherence as separate entities and (b) assessing individuals' idiosyncratic beliefs when considering intentional nonadherence.

The objective was to investigate intentional and unintentional nonadherence to anti-HIV treatment regimens from a decision-making perspective. The participants (n = 117) being treated with anti-HIV medication completed a questionnaire asking about nonadherence; reasons for and against taking the medication; and medical consultation style. Thirty-three participants (29%) reported intentionally missing or altering doses of medication at least 5% of the time; 59 participants (50%) reported forgetting to take medication at least 5% of the time. Intentional nonadherence was associated with the balance of the perceived benefits and losses of taking medication, and extent to which participants were ‘prepared for the effects of the medication’. Unintentional nonadherence was associated with demographic and clinical variables. The research highlights the importance of (i) treating intentional and unintentional nonadherence as separate entities; (ii) assessing individuals' idiosyncratic beliefs and internal logic when considering intentional nonadherence; and (iii) ensuring that individuals feel prepared for the effects of their medications.

Background and Aims Chronic kidney disease (CKD) is a prevalent clinical issue in elderly patients, contributing to increased morbidity and mortality. As life expectancy continues to rise on a global scale, there is an increasing prevalence of comorbidities and risk factors, such as hypertension. The present study aims to investigate the relationship between medication adherence, beliefs, and perceptions, the frequency of somatic symptoms, depression, and anxiety, and their role in blood pressure control in elderly CKD patients. Method The demographic data of 95 old patients diagnosed with chronic kidney disease were collated. The Medication Adherence Report Scale (MARS-5), the Beliefs About Medicine Questionnaire (BMQ), the Brief Illness Perception Questionnaire (B-IPQ) and Patient Health Questionnaire–Somatic, Anxiety, and Depressive Symptoms (PHQ-SADS) was employed to assess medication beliefs, illness perception, and somatic and psychiatric symptoms. Furthermore, kidney function tests from one year prior to and one year following the administration of the questionnaires were recorded. Results Of the 95 patients, 29 (30.5%) were female, and the mean age was 68.9 ± 6.1 years. According to PHQ-SADS, 34 patients (35.8%) exhibited moderate-to-severe somatic symptoms, 49 patients (51.6%) displayed symptoms of depression, and 23 patients (24.2%) demonstrated moderate-to-severe anxiety. Blood pressure control was achieved in 56 patients (59%). In patients with blood pressure control, fewer somatic symptoms (69.5% vs. 30.5%, P = 0.011), less depression (71.1% vs. 28.9%), and fewer instances of polypharmacy (28.9% vs. 71.1%) were observed. No significant correlation was identified between medication adherence, medication beliefs, illness perception, and blood pressure regulation. Furthermore, the patients with a decrease in GFR of less than -1 mL/min showed better blood pressure control (Table 1). Conclusion Despite the high rate of non-compliance with medication observed in this study, it is crucial to note that factors beyond medication adherence, illness perceptions and beliefs about medications, such as psychological health and somatic symptoms, may play a pivotal role in the management of blood pressure in elderly CKD patients. It is important to pay attention to polypharmacy and drug interactions, to control somatic symptoms such as pain, fatigue, nausea and to prevent depression in order to control blood pressure in this demographic.

BackgroundUnintentional non-adherence has been characterized as passively inconsistent medication-taking behavior (forgetfulness or carelessness). Our objectives were to: (1) study the prevalence and predictors of unintentional non-adherence; and (2) explore the interrelationship between intentional and unintentional non-adherence in relation to patients’ medication beliefs.MethodsWe conducted a cross-sectional survey of adults with asthma, hypertension, diabetes, hyperlipidemia, osteoporosis, or depression from the Harris Interactive Chronic Illness Panel. The analytic sample for this study included 24,017 adults who self-identified themselves as persistent to prescription medications for their index disease. They answered three questions on unintentional non-adherence (forgot, ran out, being careless), 11 questions on intentional non-adherence, and three multi-item scales assessing perceived need for medication (k = 10), perceived medication concerns (k = 6), and perceived medication affordability (k = 4). Logistic regression was used to model predictors of each unintentional non-adherence behavior. Baron and Kenny’s regression approach was used to test the mediational effect of unintentional non-adherence on the relationship between medication beliefs and intentional non-adherence. Bootstrapping was employed to confirm the statistical significance of these results.ResultsFor the index disease, 62% forgot to take a medication, 37% had run out of the medication, and 23% were careless about taking the medication. Common multivariate predictors (p < .001) of the three behaviors were: (1) lower perceived need for medications; (2) more medication affordability problems; (3) worse self-rated health; (4) diabetes or osteoporosis (relative to hypertension); and (5) younger age. Unique statistically-significant predictors of the three behaviors were: (a) ‘forgot to take medications’ - greater concerns about the index medication and male gender; (b) ‘run out of medications’ - non-white race, asthma, and higher number of total prescription medications; (c) ‘being careless’ - greater medication concerns. Mediational tests confirmed the hypothesis that the effect of medication beliefs (perceived need, concerns, and affordability) on intentional non-adherence is mediated through unintentional non-adherence.ConclusionsFor our study sample, unintentional non-adherence does not appear to be random and is predicted by medication beliefs, chronic disease, and sociodemographics. The data suggests that the importance of unintentional non-adherence may lie in its potential prognostic significance for future intentional non-adherence. Health care providers may consider routinely inquiring about unintentional non-adherence in order to proactively address patients’ suboptimal medication beliefs before they choose to discontinue therapy all together.

Medication beliefs predict medication adherence in older adults with multiple illnesses

Adherence to adjuvant endocrine therapy (AET) following breast cancer is known to be suboptimal despite its known efficacy in reducing recurrence and mortality. This study aims to investigate factors associated with non-adherence and inform the development of interventions to support women and promote adherence. A questionnaire survey to measure level of adherence, side effects experienced, beliefs about medicine, support received and socio-demographic details was sent to 292 women 2-4years post breast cancer diagnosis. Differences between non-adherers and adherers to AET were explored, and factors associated with intentional and unintentional non-adherence are reported. Approximately one quarter of respondents, 46 (22%), were non-adherers, comprising 29 (14%) intentional non-adherers and 17 (8%) unintentional non-adherers. Factors significantly associated with intentional non-adherence were the presence of side effects (p<.03), greater concerns about AET (p<.001) and a lower perceived necessity to take AET (p<.001). Half of the sample (105/211) reported that side effects had a moderate or high impact on their quality of life. Factors associated with unintentional non-adherence were younger age (<65) (p<.001), post-secondary education (p=.046) and paid employment (p=.031). There are distinct differences between intentional non-adherence and unintentional non-adherence. Differentiation between the two types of non-adherence may help tailor support and advice interventions.