A psychophysical account of patient non-adherence to medical prescriptions. The case of insulin dose adjustment

How is Patient Adherence Possible? A Novel Mechanistic Model of Adherence Based on Humanities

Patient non-adherence is a major contemporary medical issue because of its consequences in terms of frequency, morbidity and mortality, and health care costs. This article aims to propose a mechanistic model of adherence based on the tenet that non-adherence is the default option, as long-term adherence in chronic diseases requires sustained effort. The real question becomes, how is patient adherence possible? By focusing on adherent patients, the paper explains the mental mechanisms of adherence using concepts largely drawn from humanities, philosophy of mind, and behavioral economics and presents the findings of empirical studies supporting these hypotheses. The analysis first demonstrates the relationship between patient adherence and temporality and the influence of character traits. Further, it points out the importance of habit, which allows adherence to become non-intentional, thereby sparing patients' cognitive efforts. Finally, it points out the importance of the quality of the interaction between the person with a chronic disease and the health professional. These features explain why adherence is a syndrome (the healthy adherer phenotype), separating people into those who are safe and those who are at risk of non-adherence, non-control of diabetes, and complications. The concepts presented in this article summarize 20 years of personal clinical and philosophical reflection on patient adherence. They are mainly illustrated by examples from diabetes care but can be applied to all chronic diseases. This novel model of adherence has major practical and ethical implications, explaining the importance of patient education and shared medical decision-making in chronic disease management.

Development and validation of a clinical instrument to predict risk of an adverse drug reactions in hospitalized patients

OBJECTIVE

Development and internal validation of a clinical tool for assessment of the risk of adverse drug reactions (ADR) in hospitalized patients.

METHODOLOGY

Nested case-control study in an open cohort of all patients admitted to a general hospital. Cases of ADR were matched to two controls. Eighty four patient variables collected at the time of the ADR were analyzed by conditional logistic regression. Multivariate logistic regression with clustering of cases in a random sample of 2/3 of the cases and respective controls, with baseline odds-ratio corrected with an estimate of ADR incidence, was used to obtain regression coefficients for each risk factor and to develop a risk score. The clinical tool was validated in the remaining 1/3 observations. The study was approved by the institution's research ethics committee.

RESULTS

In the 8060 hospitalized patients, ADR occurred in 343 (5.31%), who were matched to 686 controls. Fourteen variables were identified as independent risk factors of ADR: female, past history of ADR, heart rate ≥72 bpm, systolic blood pressure≥148 mmHg, diastolic blood pressure <79 mmHg, diabetes mellitus, serum urea ≥ 67 mg/dL, serum sodium ≥141 mmol/L, serum potassium ≥4.9 mmol/L, main diagnosis of neoplasia, prescription of ≥3 ATC class B drugs, prescription of ATC class R drugs, prescription of intravenous drugs and ≥ 6 oral drugs. In the validation sample, the ADR risk tool based on those variables showed sensitivity 61%, specificity 73% and area under the ROC curve 0.73.

CONCLUSION

We report a clinical tool for ADR risk stratification in patients hospitalized in general wards based on 14 variables.

Decisions in the Psychology of Glucose Monitoring

This commentary aims to discuss the parallels between nonadherence to continuous glucose level monitoring and nonadherence to medication in people with diabetes and to investigate specific reasons for the difficulties involved in glucose monitoring. To this end, examples are given from both continuous and discontinuous glucose monitoring (CGM and SMBG, respectively).

Hypoglycaemic treatment adherence and the association with psychological, self-management and glycaemic characteristics in adults with type 1 diabetes

AIM

The purpose of this study was to examine adherence to hypoglycaemia treatment guidelines in adults with type 1 diabetes (T1DM). The American Diabetes Association recommends consumption of 15-20 g of glucose to treat hypoglycaemia. Overtreatment may result in poor glycaemic control and greater glycaemic variability. It is not fully understood how well T1DM adults comply with hypoglycaemia treatment recommendations.

DESIGN

A secondary analysis using a descriptive comparative design.

METHODS

Using real-time measures over six consecutive days, we examined (a) adherence to hypoglycaemia treatment guidelines and (b) comparisons of demographic self-management behaviour, psychological characteristics and glycaemia between adherent and non-adherent groups.

RESULTS

Findings revealed those who overtreated consumed more daily grain servings and reported higher stress and depressed mood compared with those who followed treatment recommendations. Findings suggest that hypoglycaemia treatment practices and psychological factors influencing self-management should be assessed.

Behavioral Theory: The Missing Ingredient for Digital Health Tools to Change Behavior and Increase Adherence

Behavioral theory is an important factor for designing digital health tools for diabetes to increase adherence to treatment. Many digital health products have not incorporated this method for achieving behavior change. This oversight might explain the disappointing outcomes of many products in this class. Four theories reported to be capable of enhancing the performance of digital health tools for diabetes include (1) Integrate, Design, Assess, and Share (IDEAS); (2) the Behaviour Change Wheel; (3) the Information-Motivation-Behavioral skills (IMB) model; and (4) gamification. Well-designed digital health tools are most likely to be effective if they are deployed in a patient-centered care setting established upon principles of sound behavioral theory. Behavioral theory can increase the effectiveness of digital tools and promote a receptive environment for their use.

Simplistic and complex thought in medicine: the rationale for a person-centered care model as a medical revolution

According to the concept developed by Thomas Kuhn, a scientific revolution occurs when scientists encounter a crisis due to the observation of anomalies that cannot be explained by the generally accepted paradigm within which scientific progress has thereto been made: a scientific revolution can therefore be described as a change in paradigm aimed at solving a crisis. Described herein is an application of this concept to the medical realm, starting from the reflection that during the past decades, the medical community has encountered two anomalies that, by their frequency and consequences, represent a crisis in the system, as they deeply jeopardize the efficiency of care: nonadherence of patients who do not follow the prescriptions of their doctors, and clinical inertia of doctors who do not comply with good practice guidelines. It is proposed that these phenomena are caused by a contrast between, on the one hand, the complex thought of patients and doctors that sometimes escapes rationalization, and on the other hand, the simplification imposed by the current paradigm of medicine dominated by the technical rationality of evidence-based medicine. It is suggested therefore that this crisis must provoke a change in paradigm, inventing a new model of care defined by an ability to take again into account, on an individual basis, the complex thought of patients and doctors. If this overall analysis is correct, such a person-centered care model should represent a solution to the two problems of patients' nonadherence and doctors' clinical inertia, as it tackles their cause. These considerations may have important implications for the teaching and the practice of medicine.

Working Together to Promote Diabetes Control: A Practical Guide for Diabetes Health Care Providers in Establishing a Working Alliance to Achieve Self-Management Support

The quality of the "patient-carer" relationship is the foundation of self-management support and has been shown to influence treatment outcome in relation to psychological and somatic illness, including diabetes. It has long been accepted within applied psychology that the quality of the client-therapist relationship--termed the working alliance--is of central importance to treatment outcome and may account for a significant degree of the overall treatment effect. Diabetes healthcare providers have recently expressed a need for further training in communication techniques and in the psychological aspects of diabetes. Could we take a page from the psychological treatment manual on working alliance in therapy to guide the diabetes healthcare provider in their role of supporting the person with diabetes achieve and maintain better metabolic control? This paper examines the role of the working alliance in diabetes care and offers a practical guide to the diabetes healthcare provider in establishing a working alliance with the person with diabetes in managing diabetes.

Glucose-driven chemo-mechanical autonomous drug-release system with multi-enzymatic amplification toward feedback control of blood glucose in diabetes

A second-generation novel chemo-mechanical autonomous drug release system, incorporating various improvements over our first-generation system, was fabricated and evaluated. Enhanced oxygen uptake by the enzyme membrane of the organic engine was facilitated by optimizing the quantity of enzyme immobilizer, PVA-SbQ, and by hydrophobizing the membrane surface. Various quantities of PVA-SbQ were evaluated in the organic engine by measuring the decompression rate, with 1.5 mg/cm(2) yielding optimum results. When fluororesin was used as a hydrophobizing coating, the time to reach the peak decompression rate was shortened 2.3-fold. The optimized elements of the system were evaluated as a unit, first in an open loop and then in a closed loop setting, using a mixture of glucose solution (25 mmol/L), ATP and MgCI2 with glucose hexokinase enzyme (HK) as a glucose reducer. In conclusion, feedback-control of physiologically relevant glucose concentration was demonstrated by the second-generation drug release system without any requirement for external energy.

An exploratory mixed methods analysis of adherence predictors following acute coronary syndrome

Adherence to cardiac health behaviors is a critical predictor of prognosis in the months following an acute coronary syndrome (ACS). However, there has been minimal concomitant study of multiple nonadherence risk factors, as assessed via record review, structured assessments, and qualitative interviews, among hospitalized ACS patients. Accordingly, we completed an exploratory mixed methods study with 22 individuals who were admitted for ACS and had suboptimal pre-ACS adherence to physical activity, heart-healthy diet, and/or medications, defined by a Medical Outcomes Study Specific Adherence Scale (MOS SAS) score <15/18. During hospitalization, participants underwent quantitative assessments of sociodemographic, medical, and psychological variables, followed by in-depth semi-structured interviews to explore intentions, plans, and perceived barriers related to post-discharge health behavior changes. The MOS SAS was readministered at 3 months and participants were designated as persistently nonadherent (MOS SAS <15; n = 9) or newly adherent (n = 13). Interviews were transcribed and coded by trained raters via content analysis, and quantitative variables were compared between groups using chi-square analysis and independent-samples t-tests. On our primary qualitative analysis, we found that participants with vaguely described intentions/plans regarding health behavior change, and those who focused on barriers to change that were perceived as static, were more likely to be persistently nonadherent. On exploratory quantitative analyses, greater medical burden, diabetes, depressive symptoms, and low optimism/positive affect at baseline were associated with subsequent post-ACS nonadherence (all p < .05). In conclusion, this appears to be the first study to prospectively examine all of these constructs in hospitalized ACS patients, and we found that specific factors were associated with nonadherence to key health behaviors 3 months later. Therefore it may be possible to predict future nonadherence in ACS patients, even during hospitalization, and specific interventions during admission may be indicated to prevent adverse outcomes among patients at highest risk for post-ACS nonadherence.

Blood glucose pattern management in diabetes: creating order from disorder

BACKGROUND

Self-monitoring of blood glucose (SMBG) is the most accessible way to assess glycemic patterns, and interpretation of these patterns can provide reasons for poor glycemic control and suggest management strategies. Furthermore, diabetes management based on blood glucose (BG) patterns is associated with improved patient outcomes. The aim of this review is therefore to evaluate the impact of pattern management in clinical practice.

METHODS

We included a review of available literature, a discussion of obstacles to implementation of SMBG and pattern management, and suggestions on how clinicians and patients might work together to optimize this management feature.

RESULTS

The literature review revealed eight publications specifically describing structured approaches to SMBG and pattern management. Specific information on how SMBG might be structured to detect BG patterns, however, remains limited. Barriers to pattern management include not just practical reasons, but emotional and psychological reasons as well.

CONCLUSIONS

Patterns are not always easy to detect or interpret, but on-meter and web-based tools can support both patients and clinicians. Ultimately, successful pattern management requires education and mutual commitment from the clinician and patient--ongoing collaboration is needed to obtain, review, and interpret SMBG values and to make changes based on the patterns.