Effect of medication nonadherence on hospitalization and mortality among patients with diabetes mellitus

Investigating adherence to tyrosine kinase inhibitors in renal cancer

INTRODUCTION

Tyrosine kinase inhibitors (TKIs) have been used as the first-line treatment for many patients with renal cell carcinoma (RCC), the seventh most common cancer in the United Kingdom. However, suboptimal adherence to TKIs can result in poor clinical prognosis. This study quantified RCC patients' adherence to TKIs and explored factors associated with suboptimal adherence.

METHOD

This retrospective cohort study was conducted at a specialist oncology tertiary hospital in Northwest England, using pharmacy dispensing records between November 2021 and March 2022. TKI prescriptions dispensed to patients with RCC were extracted to calculate the persistency gaps (≥7 or ≥14 days) and medication possession ratio (MPR). Multilevel regression analysis was conducted to associate MPR and persistency gaps with specific patient-related and TKI-related factors. This study did not require ethics approval.

RESULTS

Of the 2225 prescriptions dispensed to 109 patients, 469 (23.4%) and 274 (13.7%) persistency gaps of ≥7 and ≥14 days were identified. About 75% and 92% of patients had a persistency gap of ≥7 days within the first 90 days and 180 days. The length of time since the first TKI prescription (p < 0.001) and the use of sunitinib(p = 0.003) were significantly associated with the number of prescription gaps of ≥7 days. Moreover, the median MPR was 95.6% (interquartile range: 90.7%, 100.1%). Similarly, the length of time since the first TKI prescription was dispensed (p < 0.001) and the use of sunitinib (p = 0.034) were significantly associated with MPR.

DISCUSSION AND CONCLUSION

This single-centre study found that patients with RCC generally adhere to TKIs (MPR > 90%), but many patients experienced a persistency gap. The crucial window to mitigate TKI utilisation is within 180 days after the initial dispensing of TKIs. Further large-scale studies are required to comprehensively investigate other factors associated with adherence to TKIs and develop interventions to improve adherence and medication use problems.

Improving medication adherence in cardiovascular disease

Non-adherence to medication is a global health problem with far-reaching individual-level and population-level consequences but remains unappreciated and under-addressed in the clinical setting. With increasing comorbidity and polypharmacy as well as an ageing population, cardiovascular disease and medication non-adherence are likely to become increasingly prevalent. Multiple methods for detecting non-adherence exist but are imperfect, and, despite emerging technology, a gold standard remains elusive. Non-adherence to medication is dynamic and often has multiple causes, particularly in the context of cardiovascular disease, which tends to require lifelong medication to control symptoms and risk factors in order to prevent disease progression. In this Review, we identify the causes of medication non-adherence and summarize interventions that have been proven in randomized clinical trials to be effective in improving adherence. Practical solutions and areas for future research are also proposed.

Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning

Background

Type 2 diabetes elevates the risk of severe outcomes in COVID-19 patients, with multiple studies reporting higher case fatality rates. Metformin is a widely used medication for glycemic management. We hypothesize that improved adherence to metformin may lower COVID-19 post-infection mortality risk in this group. Utilizing data from the Mexican Social Security Institute (IMSS), we investigate the relationship between metformin adherence and mortality following COVID-19 infection in patients with chronic metformin prescriptions.

Methods

This is a retrospective cohort study consisting of 61,180 IMSS beneficiaries who received a positive polymerase chain reaction (PCR) or rapid test for SARS-CoV-2 and had at least two consecutive months of metformin prescriptions prior to the positive test. The hypothetical intervention is improved adherence to metformin, measured by proportion of days covered (PDC), with the comparison being the observed metformin adherence values. The primary outcome is all-cause mortality following COVID-19 infection. We defined the causal parameter using shift intervention, an example of modified treatment policies. We used the targeted learning framework for estimation of the target estimand.

Findings

Among COVID-19 positive patients with chronic metformin prescriptions, we found that a 5% and 10% absolute increase in metformin adherence is associated with a respective 0.26% (95% CI: -0.28%, 0.79%) and 1.26% (95% CI: 0.72%, 1.80%) absolute decrease in mortality risk.

Interpretation

Subject to the limitations of a real-world data study, our results indicate a causal association between improved metformin adherence and reduced COVID-19 post-infection mortality risk.

Real-world glycated haemoglobin changes among type 2 diabetes mellitus patients treated with a maintenance dose of 7 mg or 14 mg of oral semaglutide

AIM

To describe the change in glycated haemoglobin (HbA1c) among patients with type 2 diabetes following treatment with a 7 or 14 mg maintenance dose of oral semaglutide.

MATERIALS AND METHODS

This retrospective, claims-based study included adult patients with type 2 diabetes with a pre-index HbA1c of ≥7%, initiating treatment with oral semaglutide between 1 November 2019 and 30 June 2020; the patients had continuous health plan enrolment for ≥12 months before (pre-index) and ≥6 months following (post-index) the date of the first oral semaglutide claim (index). Patients were required to have a maintenance dose of 7 or 14 mg. Pre-index demographic and clinical characteristics were captured, as were doses at initiation and prescriber specialty. The change in HbA1c between the latest post-index and pre-index HbA1c measurements was calculated among all patients and among those with ≥90 days of continuous treatment (persistent patients).

RESULTS

This study included 520 patients, most of whom had a complex medical history, experienced a range of comorbidities and received an average of 11.5 different classes of medications during the pre-index period. The mean HbA1c reduction during the 6-month post-initiation period was 1.2% (p < .001) for all patients and 1.4% (p < .001) for persistent patients.

CONCLUSIONS

In this real-world study, patients with a pre-index HbA1c ≥7% who initiated treatment with oral semaglutide with a 7 or 14 mg maintenance dose had significantly lower HbA1c levels following treatment.

Economic burden of type-2 diabetes in Peru: a cost-of-illness study valuing cost differences associated with the level of glycemic control

OBJECTIVES

Type 2 diabetes mellitus (T2DM) represents an increasing public health problem in Peru. This study aims to estimate the national economic burden of this disease for the public funder, the social security, and private sector insurers.

METHODS

Direct healthcare costs were estimated for a cohort of 45-to-75-year-old adults diagnosed with T2DM in 2019, over a 20-year period. Disease progression was modeled using PROSIT Models and literature, including acute and chronic microvascular and macrovascular complications. Three scenarios of glycemic control were considered: current levels of 35.8% of the population controlled (HbA1c < 7%) (S1); 100% controlled (S2) and; 100% uncontrolled (S3). The impact of diabetes prevalence on overall costs was evaluated in sensitivity analysis.

RESULTS

Total national economic burden was estimated at $15,405,448,731; an annual average per patient of $2,158. Total costs would decrease to $12,853,113,596 (-16.6%) in S2 and increase to $16,828,713,495 (+9.2%) in S3. Treating patients with complications and risk factors could cost 6.5 times more, being stroke the complication with the highest impact. Up to a 67.6% increase in total costs was found when increasing T2DM prevalence.

CONCLUSIONS

T2DM places a heavy burden on the Peruvian healthcare budget that will be even greater if poor glycemic control is maintained.

Measuring the Influence of Side Effect Expectations, Beliefs, and Incident Side Effects on the Risk for Drug Discontinuation Among Individuals Starting New Medications, a Cross-sectional Study

Purpose

To measure the impact of beliefs, expectations, side effects, and their combined effects on the risk for medication nonpersistence.

Patients and methods

Using a cross-sectional design, individuals from Saskatchewan, Canada who started a new antihypertensive, cholesterol-lowering, or antihyperglycemic medication were surveyed about risk factors for nonpersistence including: (a) beliefs measured by a composite score of three questions asking about the threat of the condition, importance of the drug, and harm of the drug; (b) incident side effects attributed to treatment; and (c) expectations for side effects before starting treatment. Descriptive statistics and logistic regression models were used to quantify the influence of these risk factors on the outcome of nonpersistence. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated.

Results

Among 3,029 respondents, 5.8% (n=177) reported nonpersistence within four months after starting the new drug. After adjustment for numerous covariates representing sociodemographics, health-care providers, medication experiences and beliefs, both negative beliefs (OR: 7.26, 95%CI: 4.98-10.59) and incident side effects (OR: 8.00, 95%CI: 5.49-11.68) were associated with the highest odds of nonpersistence with no evidence of interaction. In contrast, expectations for side effects before starting treatment exhibited an important interaction with incident side effects following treatment initiation. Among respondents with incident side effects (n=741, 24.5%), the risk for early nonpersistence was 11.5% if they indicated an expectation for side effects before starting the medication compared to 23.6% if they did not (adjusted OR: 0.38, 95%CI: 0.25-0.60).

Conclusion

Expectations for side effects may be a previously unrecognized but important marker of the probability to persist with treatment. A high percentage of new medication users appeared unprepared for the possibility of side effects from their new medication making them less resilient if side effects occur.

Peer Ambassador Perspectives in a Culturally Tailored Self-Management Intervention for African Americans with Type 2 Diabetes: A Qualitative Study

OBJECTIVE

Diabetes disproportionately affects African Americans, leading to higher morbidity and mortality. This study explores the experiences of African American adults who successfully self-manage their type 2 diabetes (called Peer Ambassadors) and provided phone-based peer support in a 6-month culturally tailored diabetes self-management program for African Americans guided by the information-motivation-behavioral skills model.

DESIGN

A group discussion using a semi-structured discussion guide was conducted. Qualitative content analysis was used to identify the facilitators and barriers to completing the role of a Peer Ambassador and to develop strategies for overcoming possible challenges in the future.

SETTING

Key informant discussions were conducted in a community location to gain insights into Ambassadors' motivations and challenges in delivering peer support.

PARTICIPANTS

Three Peer Ambassadors completed ethics training and peer mentor training and received a phone call guide before providing support to their peers.

RESULTS

There were four core themes related to Peer Ambassador experiences: (1) Motivation to be a Peer Ambassador, (2) program elements that supported Peer Ambassador role, (3) key elements of achieving engagement, and (4) challenges related to being a Peer Ambassador.

CONCLUSIONS

This study showed Peer Ambassadors in a culturally tailored peer supported self-management program found fulfillment in sharing experiences and supporting peers. They highly valued educational group sessions for knowledge updates and sustaining their health-related goals, suggesting the potential benefits of recognizing milestones or providing advanced training for future program sustainability. Findings suggest the importance of recruiting motivated patients and providing effective facilitation for peer support roles, including addressing barriers such as time commitment and lack of socialization opportunities.

Ethical considerations in the use of RhD-positive blood products in trauma

BACKGROUND

Prehospital and early in-hospital use of low titer group O whole blood (LTOWB) for life-threatening bleeding has been independently associated with improved survival compared to component therapy. However, when RhD-positive blood products are administered to RhD-negative females of childbearing potential (FCP), there is a small future risk of hemolytic disease of the fetus and newborn (HDFN). This raises important ethical questions that must be explored in order to justify the use of RhD-positive blood products, including LTOWB, both in clinical practice and research.

METHODS

This essay explores the ethical challenges related to RhD-positive blood product administration to RhD-negative or RhD-unknown FCPs as a first-line resuscitation fluid in the trauma setting. These ethical issues include: issues related to decision-making, ethical analysis based on the doctrine of double effect (DDE), and attendant obligations incurred by hospitals that administer RhD-positive blood to FCPs.

RESULTS

Ethical analysis through the use of the DDE demonstrates that utilization of RhD-positive blood products, including LTOWB, in the early resuscitation of FCPs is an ethically appropriate approach. By accepting the risk of HDFN, hospitals generate obligations to promote blood donation, evaluate for alloimmunization and counsel patients on the future risk of HDFN, and maintain an understanding of the ethical rationale for RhD-positive blood transfusion.

Non-adherence to Anti-diabetic Prescriptions Among Type 2 Diabetes Mellitus Patients in the Kurdistan Region of Iraq

BACKGROUND

Treatment adherence is a primary key in controlling diabetes disease. The study aims to determine the prevalence of treatment adherence in type 2 diabetes mellitus (T2DM) patients, investigate the potential influence of adherence on elevated blood glucose levels, and identify the key factors which play a role in non-adherence to the prescribed drugs.

METHOD

A cross-sectional study method was utilized to collect data from all T2DM patients at the Diabetic and Endocrine Centre and Shar Hospital in Sulaymaniyah city in the Kurdistan region of Iraq from February 2022 to April 2022. The data collection was performed through a structured questionnaire. The prevalence of drug adherence was assessed using the Morisky Medication-Taking Adherence Scale (4-item), and the glycated hemoglobin test (A1C) was used to determine the blood glucose level.

RESULT

A total of 300 participants were studied, and more than half of them (192; 64%) revealed that they did not adhere to their anti-diabetic medications. Non-adherence was significantly associated with higher A1C. Several barriers to non-adherence were identified as multiple medications, feeling the dose given is high, lack of finance, and side effects by 209 (70%), 116 (39%), 113 (38%), and 103 (34%), respectively.

CONCLUSION

The current study's result revealed that most T2DM patients have no adherence to their medication. This non-adherence is significantly linked to higher A1C levels, emphasizing the critical role of medication compliance in managing diabetes effectively. The study also sheds light on the multiple barriers such as taking multiple prescriptions, the perception that the dose is excessive, lack of finances, and experiencing side effects, which contribute to non-adherence among diabetes patients. These findings underscore the need for healthcare providers to address these barriers and develop tailored strategies to enhance medication adherence among individuals with diabetes.

The role of emotion dysregulation in self-management behaviors among adults with type 2 diabetes

Suboptimal disease self-management among adults with type 2 diabetes is associated with greater risk of diabetes related health complications and mortality. Emotional distress has been linked with poor diabetes self-management; however, few studies have examined the role of emotion dysregulation in diabetes management. The purpose of this study was to examine the relations between different facets of emotion dysregulation and diabetes self-management behaviors among a sample of 373 adults with type 2 diabetes. Separate median regression and binary logistic regression models were used to examine the association of emotion dysregulation facets and each diabetes self-care behavior (i.e., medication nonadherence, diet, exercise, self-monitoring of blood glucose (SMBG), foot care, and smoking). Generally, greater difficulties in emotion regulation were associated with poorer self-management behaviors. However, several facets of emotion dysregulation were linked with better self-management behaviors. Addressing emotion dysregulation among adults with type 2 diabetes has the potential to improve diabetes related self-management.

Frequency of missed doses and its effects on the regulation of glucose levels in patients with type 2 diabetes: A retrospective analysis

This study aimed to investigate the association between medication adherence to oral hypoglycemic agents (OHAs) and HbA1c levels in patients with type 2 diabetes mellitus (T2DM) for more than 48 weeks, as well as the factors affecting long-term adherence to OHAs. This retrospective study included 83 patients who had been receiving OHAs for T2DM for ≥48 weeks. Medication adherence values (MAVs) were calculated using the following formula: (total prescription days - prescription days of OHAs brought at admission)/(days from the initiation of OHAs to hospitalization). We assessed the association between HbA1c and MAVs using the Jonckheere-Terpstra test. Furthermore, we examined the association between patient- and medication-related factors and MAVs affecting HbA1c levels. Based on the results, MAVs were categorized as MAV ≤0.86 and MAV >0.86, and factors affecting MAVs were analyzed. Logistic regression analysis revealed that the total number of medications, the number of nonhypoglycemic agents, and a family history of diabetes were independent determinants of MAV ≤0.86 (P < .05). Multiple regression analyses indicated that the number of dosages per day and the timing of OHA administration at lunch were independent determinants of lower MAVs (P < .05). Our findings suggest that poor medication adherence is associated with elevated HbA1c levels in T2DM patients. Independent factors contributing to poor adherence include a lower number of prescribed medications, fewer nonhypoglycemic agents, no family history, a higher daily dosage frequency, and the administration of OHAs at lunch.

Trends in Diabetes Medication Taking and Incidence of Depression in Patients with Type 2 Diabetes: A Retrospective Cohort Study from 2010 to 2018

BACKGROUND

This study examined the trends in diabetes medication taking and its association with the incidence of depression in patients with type 2 diabetes (T2D).

METHOD

A retrospective cohort of Medicare enrollees with regular care in 2010 was defined from 100% Texas Medicare claims. The impact of medication taking on incident depression was evaluated from 2010 to 2018. Cox proportional hazards regressions were used to estimate the association between medication taking and depression.

RESULTS

A total of 72,461 patients with T2D and with regular care were analyzed. Among 60,216 treated patients, the regular medication taking rate slightly increased from 60.8 to 63.2% during the study period. Patients with regular medication taking at baseline had a 9% lower risk of developing depression (hazard ratio [HR]: 0.91, 95% confidence interval [CI]: 0.89-0.94), and the magnitude of the association increased after adjustment of the model for time-varied medication taking (HR: 0.82, 95% CI: 0.79-0.85). The presence of nephropathy had the greatest mediating effect (23.2%) on the association of medication taking and depression.

CONCLUSION

We demonstrated a steady but modest increase in regular diabetes medication taking over a 9-year period and a significant relationship between medication taking and incident depression in patients with T2D.

Association of Remote Patient Monitoring with Mortality and Healthcare Utilization in Hypertensive Patients: a Medicare Claims-Based Study

BACKGROUND

Hypertension management is complex in older adults. Recent advances in remote patient monitoring (RPM) have warranted evaluation of RPM use and patient outcomes.

OBJECTIVE

To study associations of RPM use with mortality and healthcare utilization measures of hospitalizations, emergency department (ED) utilization, and outpatient visits.

DESIGN

A retrospective cohort study.

PATIENTS

Medicare beneficiaries aged ≥65 years with an outpatient hypertension diagnosis between July 2018 and September 2020. The first date of RPM use with a corresponding hypertension diagnosis was recorded (index date). RPM non-users were documented from those with an outpatient hypertension diagnosis; a random visit was selected as the index date. Six months prior continuous enrollment was required.

MAIN MEASURES

Outcomes studied within 180 days of index date included (i) all-cause mortality, (ii) any hospitalization, (iii) cardiovascular-related hospitalization, (iv) non-cardiovascular-related hospitalization, (v) any ED, (vi) cardiovascular-related ED, (vii) non-cardiovascular-related ED, (viii) any outpatient, (ix) cardiovascular-related outpatient, and (x) non-cardiovascular-related outpatient. Patient demographics and clinical variables were collected from baseline and index date. Propensity score matching (1:4) and Cox regression were performed. Hazard ratios (HR) and 95% confidence intervals (CI) are reported.

KEY RESULTS

The matched sample had 16,339 and 63,333 users and non-users, respectively. Cumulative incidences of mortality outcome were 2.9% (RPM) and 4.3% (non-RPM), with a HR (95% CI) of 0.66 (0.60-0.74). RPM users had lower hazards of any [0.78 (0.75-0.82)], cardiovascular-related [0.79 (0.73-0.87)], and non-cardiovascular-related [0.79 (0.75-0.83)] hospitalizations. No significant association was observed between RPM use and the three ED measures. RPM users had higher hazards of any [1.10 (1.08-1.11)] and cardiovascular-related outpatient visits [2.17 (2.13-2.19)], while a slightly lower hazard of non-cardiovascular-related outpatient visits [0.94 (0.93-0.96)].

CONCLUSIONS

RPM use was associated with substantial reductions in hazards of mortality and hospitalization outcomes with an increase in cardiovascular-related outpatient visits.

Resistant starch and type 2 diabetes mellitus: Clinical perspective

The immediate and well-documented benefits of carbohydrate restriction include improved glycemic control in individuals with diabetes mellitus. Starch, a significant source of carbohydrates, is categorized as rapidly digestible, slowly digestible, or resistant starch (RS). RS, which is a non-viscous fermentable fiber, has shown promise in animal studies for antidiabetic effects by improving glucose metabolism. Although the exact mechanism by which RS affects glucose metabolism remains unclear, it is expected to positively impact glucose tolerance and insulin sensitivity. The fermentation of RS by colonic microbiota in the large bowel produces short-chain fatty acids, which exert multiple metabolic effects on glucose regulation and homeostasis. Moreover, RS may influence glucose metabolism via bile acid modulation, independent of its fermentation. Diets rich in RS could aid in blood glucose homeostasis. However, it is uncertain whether they can alter the metabolic pathology associated with glucose regulation. In essence, RS has the potential to lower postprandial glucose levels similarly to a low-glycemic index diet. Yet, its efficacy as a medical nutrition therapy for type 2 diabetes needs further investigation. To confirm the role of RS in glycemic control and to possibly recommend it as an additional dietary approach for people with type 2 diabetes mellitus, a well-designed, large-scale intervention is required.

Microfluidic-based systems for the management of diabetes

Diabetes currently affects approximately 500 million people worldwide and is one of the most common causes of mortality in the United States. To diagnose and monitor diabetes, finger-prick blood glucose testing has long been used as the clinical gold standard. For diabetes treatment, insulin is typically delivered subcutaneously through cannula-based syringes, pens, or pumps in almost all type 1 diabetic (T1D) patients and some type 2 diabetic (T2D) patients. These painful, invasive approaches can cause non-adherence to glucose testing and insulin therapy. To address these problems, researchers have developed miniaturized blood glucose testing devices as well as microfluidic platforms for non-invasive glucose testing through other body fluids. In addition, glycated hemoglobin (HbA1c), insulin levels, and cellular biomechanics-related metrics have also been considered for microfluidic-based diabetes diagnosis. For the treatment of diabetes, insulin has been delivered transdermally through microdevices, mostly through microneedle array-based, minimally invasive injections. Researchers have also developed microfluidic platforms for oral, intraperitoneal, and inhalation-based delivery of insulin. For T2D patients, metformin, glucagon-like peptide 1 (GLP-1), and GLP-1 receptor agonists have also been delivered using microfluidic technologies. Thus far, clinical studies have been widely performed on microfluidic-based diabetes monitoring, especially glucose sensing, yet technologies for the delivery of insulin and other drugs to diabetic patients with microfluidics are still mostly in the preclinical stage. This article provides a concise review of the role of microfluidic devices in the diagnosis and monitoring of diabetes, as well as the delivery of pharmaceuticals to treat diabetes using microfluidic technologies in the recent literature.

Social relationships, stress, and treatment adherence perceptions in type 2 diabetes and hypertension: between-person, within-person, and compositional associations

OBJECTIVE

Type 2 diabetes and hypertension are "intertwined" conditions with lifestyle treatment plans, but patients often struggle to consistently engage in and follow treatment plans. To identify potential mechanisms for improving patient adherence to lifestyle treatment plans for type 2 diabetes and hypertension, this longitudinal study investigated the extent to which situational changes in patient-practitioner relationships, close relationships, and stress, explain between-person, immediate within-person, and compositional change in patient behavior and attitudes.Methods and measures: Over one year, 167 participants with type 2 diabetes and/or hypertension completed seven questionnaires assessing adherence perceptions (adherence, benefit, and burden), patient-practitioner experiences (alliance and confusion), close interpersonal interactions (positive and negative), and stress.

RESULTS

Multilevel structural equation modeling analyses revealed that nearly all hypothesized between-person associations were significant. Moreover, all hypothesized predictors explained within-person change in at least one adherence outcome. Predictors also produced compositional effects where outcomes were predicted by scores sustained over time. Most social and stress variables had unique associations with adherence perceptions after controlling for other predictors.

CONCLUSION

Results highlight the complexity of change processes and importance of social relationships and stress for adherence. Greater understanding of these processes may improve outcomes for individuals with type 2 diabetes and/or hypertension.

Development and acceptability of PETS-Now, an electronic point-of-care tool to monitor treatment burden in patients with multiple chronic conditions: a multi-method study

BACKGROUND

The aim of this study was to develop a web-based tool for patients with multiple chronic conditions (MCC) to communicate concerns about treatment burden to their healthcare providers.

METHODS

Patients and providers from primary-care clinics participated. We conducted focus groups to identify content for a prototype clinical tool to screen for treatment burden by reviewing domains and items from a previously validated measure, the Patient Experience with Treatment and Self-management (PETS). Following review of the prototype, a quasi-experimental pilot study determined acceptability of using the tool in clinical practice. The study protocol was modified to accommodate limitations due to the Covid-19 pandemic.

RESULTS

Fifteen patients with MCC and 18 providers participated in focus groups to review existing PETS content. The pilot tool (named PETS-Now) consisted of eight domains (Living Healthy, Health Costs, Monitoring Health, Medicine, Personal Relationships, Getting Healthcare, Health Information, and Medical Equipment) with each domain represented by a checklist of potential concerns. Administrative burden was minimized by limiting patients to selection of one domain. To test acceptability, 17 primary-care providers first saw 92 patients under standard care (control) conditions followed by another 90 patients using the PETS-Now tool (intervention). Each treatment burden domain was selected at least once by patients in the intervention. No significant differences were observed in overall care quality between patients in the control and intervention conditions with mean care quality rated high in both groups (9.3 and 9.2, respectively, out of 10). There were no differences in provider impressions of patient encounters under the two conditions with providers reporting that patient concerns were addressed in 95% of the visits in both conditions. Most intervention group patients (94%) found that the PETS-Now was easy to use and helped focus the conversation with the provider on their biggest concern (98%). Most providers (81%) felt they had learned something new about the patient from the PETS-Now.

CONCLUSION

The PETS-Now holds promise for quickly screening and monitoring treatment burden in people with MCC and may provide information for care planning. While acceptable to patients and clinicians, integration of information into the electronic medical record should be prioritized.

Geriatric assessment-derived deficit accumulation and patient-reported treatment burden in older adults with bladder cancer

BACKGROUND

When a person's workload of healthcare exceeds their resources, they experience treatment burden. At the intersection of cancer and aging, little is known about treatment burden. We evaluated the association between a geriatric assessment-derived Deficit Accumulation Index (DAI) and patient-reported treatment burden in older adults with early-stage, non-muscle-invasive bladder cancer (NMIBC).

METHODS

We conducted a cross-sectional survey of older adults with NMIBC (≥65 years). We calculated DAI using the Cancer and Aging Research Group's geriatric assessment and measured urinary symptoms using the Urogenital Distress Inventory-6 (UDI-6). The primary outcome was Treatment Burden Questionnaire (TBQ) score. A negative binomial regression with LASSO penalty was used to model TBQ. We further conducted qualitative thematic content analysis of responses to an open-ended survey question ("What has been your Greatest Challenge in managing medical care for your bladder cancer") and created a joint display with illustrative quotes by DAI category.

RESULTS

Among 119 patients, mean age was 78.9 years (SD 7) of whom 56.3% were robust, 30.3% pre-frail, and 13.4% frail. In the multivariable model, DAI and UDI-6 were significantly associated with TBQ. Individuals with DAI above the median (>0.18) had TBQ scores 1.94 times greater than those below (adjusted IRR 1.94, 95% CI 1.33-2.82). Individuals with UDI-6 greater than the median (25) had TBQ scores 1.7 times greater than those below (adjusted IRR 1.70, 95% CI 1.16-2.49). The top 5 themes in the Greatest Challenge question responses were cancer treatments (22.2%), cancer worry (19.2%), urination bother (18.2%), self-management (18.2%), and appointment time (11.1%).

CONCLUSIONS

DAI and worsening urinary symptoms were associated with higher treatment burden in older adults with NMIBC. These data highlight the need for a holistic approach that reconciles the burden from aging-related conditions with that resulting from cancer treatment.

Real-World Analysis of Long-Acting and NPH-Containing Insulins on Glycemic Control

Introduction Affordability of insulin products has become a concern in the past several years as the average price of various insulin products has increased. While awaiting legislation at the federal level that would address issues leading to high insulin costs, providers may have shifted prescribing practices to prescribe the lowest-priced insulin products to achieve patients' treatment goals. Objective To compare the prevalence of hypoglycemic events between patients receiving lower-cost neutral protamine Hagedorn (NPH)-containing human insulins and higher-cost long-acting insulin analogs in Medicare Part D enrollees within a management services organization, as well as assessing glycemic control and changes in body mass index. Methods This was a multicenter, retrospective study conducted at three primary care clinics. The co-primary outcomes were percent difference of documented mild and severe hypoglycemic events between individuals receiving NPH-containing human insulin and long-acting insulin. Results A total of 72 patients met inclusion criteria and were receiving NPH-containing human insulins or the long-acting insulin analogs, 15 and 57 patients, respectively. Severe hypoglycemic events occurred in 3.5% vs 0% of the long-acting insulin analog and NPH-containing human insulin group, respectively (P = 0.999). Mild hypoglycemic episodes were experienced by 31.6% versus 33.3% of long-acting insulin analog and NPH, respectively (P = 0.539). For secondary outcomes, no difference was observed in glycemic control outcomes across insulin groups. Conclusion Among Medicare Part D patients with type 2 diabetes mellitus, the use of NPH-containing human insulins was not associated with an increased risk of mild or severe hypoglycemia-related episodes or reduced glycemic control compared with long-acting insulin. Study findings suggest that lower-cost, NPH-containing human insulins may be an alternative to higher-cost, long-acting insulin analogs.

Antihypertensive medication nonadherence and target organ damage in children with chronic kidney disease

BACKGROUND

Nonadherence is common in children with chronic kidney disease (CKD). This may contribute to inadequate blood pressure control and adverse outcomes. This study examined associations between antihypertensive medication nonadherence, ambulatory blood pressure monitoring (ABPM) parameters, kidney function, and cardiac structure among children with CKD.

METHODS

We performed secondary analyses of data from the CKD in Children (CKiD) study, including participants with treated hypertension who underwent ABPM, laboratory testing, and echocardiography biannually. Nonadherence was defined by self-report of any missed antihypertensive medication 7 days prior to the study visit. Linear regression and mixed-effects models were used to assess the association of nonadherence with baseline and time-updated ABPM profiles, estimated glomerular filtration rate (eGFR), urine protein to creatinine ratio (UPCR), and left ventricular mass index (LVMI).

RESULTS

Five-hundred and eight participants met inclusion criteria, followed for a median of 2.9 years; 212 (42%) were female, with median age 13 years (IQR 10-16), median baseline eGFR 49 (33-64) ml/min/1.73 m2 and median UPCR 0.4 (0.1-1.0) g/g. Nonadherence occurred in 71 (14%) participants. Baseline nonadherence was not significantly associated with baseline 24-h ABPM parameters (for example, mean 24-h SBP [β - 0.1, 95% CI - 2.7, 2.5]), eGFR (β 1.0, 95% CI - 0.9, 1.2), UCPR (β 1.1, 95% CI - 0.8, 1.5), or LVMI (β 0.6, 95% CI - 1.6, 2.9). Similarly, there were no associations between baseline nonadherence and time-updated outcome measures.

CONCLUSIONS

Self-reported antihypertensive medication nonadherence occurred in 1 in 7 children with CKD. We found no associations between nonadherence and kidney function or cardiac structure over time. A higher resolution version of the Graphical abstract is available as Supplementary information.

Adherence to pharmacological treatment in non-communicable chronic diseases in the Colombian population: Systematic review and meta-analysis

Introduction. Non-communicable chronic diseases represent the leading cause of death worldwide, and their prevalence is increasing due to the epidemiological transition. Despite the advances in their management, control rates are deficient, attributed to multiple factors like adherence to pharmacological treatment, one of the most significant and least studied in the Colombian population. Objective. To calculate adherence to treatment in Colombian patients with arterial hypertension, cerebrovascular disease, diabetes mellitus, asthma, chronic obstructive pulmonary disease, and dyslipidemia between 2005 and 2022. Materials and methods. We performed a systematic literature review and a meta-analysis of studies identified through the Medline and LILACS databases to quantitatively synthesize treatment adherence percentage. Results. Fourteen studies met the inclusion criteria, and 5,658 patients were analyzed. The treatment adherence was 59%, with significant heterogeneity among the included studies (95% CI= 46- 71%; I2 = 98.8%, p< 0.001). Higher adherence rates were observed for diabetes mellitus (79%; 95% CI = 65- 90%) and dyslipidemia (70%; 95% CI = 66- 74%). Adherence to arterial hypertension treatment was 51% (95 %; CI = 31- 72%). Conclusions. This systematic review showed low adherence to recommendations regarding pharmacological management in non-communicable chronic diseases, which can have implications for long-term clinical outcomes and disease burden.

Routine health data describe adherence and persistence patterns for oral diabetes medication for a virtual cohort in the Khayelitsha sub-district of Cape Town, South Africa

Type 2 diabetes mellitus (T2DM) is managed with combined lifestyle modifications and antidiabetic drugs, but people on treatment often fail to reach glycaemic control. Adherence is important for achieving optimal glycaemic control, and management of diabetes with drugs is a lifelong process, so understanding adherence through analysis of longitudinal medications data is important. Using retrospective routine health data and metformin dispensing records as a proxy for medication use, we describe longitudinal persistence and adherence to oral diabetes medication in a virtual cohort of 10541 people with diabetes (PLWD) in Khayelitsha subdistrict, Cape Town. Adherence was measured in 120-day sliding windows over two years and used to estimate metformin adherence trajectories. Multinomial logistic regression identified factors influencing these trajectories. Analysis of pharmacy dispensing records showed varying medication refill patterns: while some PLWD refilled prescriptions consistently, others had treatment gaps with periods of non-persistence and multiple treatment episodes-from one to five per individual across two years. There was a general trend of decreasing adherence over time across all sliding windows in the two-year period, with only 25% of the study population achieved medication adherence (> = 80% adherence) after two years. Four adherence trajectories; 'low adherence gradual decline (A), 'high adherence rapid decline' (B), 'low adherence gradual increase (C) and 'adherent' (D) were identified. Only trajectory D represented participants who were adherent at treatment start and remained adherent after two years. Taking HIV antiretroviral treatment before or concurrently with diabetes treatment and taking metformin in combination with sulphonylurea and/or insulin were associated with the long-term adherence (trajectory D). Routine data shows real life medication implementation patterns which might not be seen under controlled study conditions. This study illustrates the utility of these data in describing longitudinal adherence patterns at both an individual and population level.

Improved medication adherence in COPD patients using tiotropium or tiotropium olodaterol with the HealthPrize digital behavior change program

OBJECTIVE

To assess the impact of the HealthPrize RespiPoints™ program on treatment adherence and persistence in adults with chronic obstructive pulmonary disease (COPD).

METHODS

In this retrospective cohort study, program participants and nonparticipants receiving tiotropium bromide (TIO) or TIO and olodaterol between 1 January 2015-31 March 2020 were propensity score matched (PSM), from the linked database of the HealthPrize patient list and IQVIA PharMetrics® Plus. Treatment adherence, persistence, healthcare resource utilization, and costs were compared. Multivariable logistic regression models assessed the odds of adherence (≥80% proportion of days covered [PDC]), adjusted risk of discontinuation, and adjusted total healthcare costs.

RESULTS

Program participants (n = 262) demonstrated a 44% greater adherence during followup than nonparticipants (n = 262) (mean [standard deviation] PDC: 0.72 [0.27] vs 0.50 [0.36], p < 0.0001). Participants had higher odds of adherence vs nonparticipants (adjusted odds ratio: 2.51; 95% confidence interval: 1.72-3.66, p < 0.0001) and a lower percentage of participants discontinued their index medication (19.85% vs 33.59%, p = 0.0004). Fewer participants were hospitalized during follow-up (13.74% vs 17.56%, p = 0.23); adjusted total medical costs were 24% lower (p = 0.08). Higher pharmacy costs partially offset lower healthcare costs.

CONCLUSIONS

Program participants showed improved COPD medication adherence and persistence compared to nonparticipants.

Non-adherence to non-insulin glucose-lowering drugs: Prevalence, predictors and impact on glycemic control and insulin initiation. A longitudinal cohort study in a large primary care database in Spain

BACKGROUND

A better understanding of patient non-adherence to type 2 diabetes medication is needed to design effective interventions to address this issue.

OBJECTIVES

(1) To estimate the prevalence of non-adherence to diabetes medication; (2) to examine its impact on glycemic control and insulin initiation; (3) to develop and validate a prediction model of non-adherence.

METHODS

We conducted a longitudinal cohort study based on data from electronic health records. We included adult patients registered within the Health Service of the Balearic Islands (Spain) starting a new prescription of a non-insulin glucose-lowering drug between January 2016 and December 2018. We calculated non-adherence at 12 months follow-up, defined as medication possession ratio (MPR) ≤ 80%. We fitted multivariable regression models to examine the association between non-adherence and glycemic control and insulin initiation and identified predictors of non-adherence.

RESULTS

Of 18,119 patients identified, after 12 months follow-up, 5,740 (31.68%) were non-adherent. Compared with non-adherent, adherent patients presented lower HbA1c levels (mean difference = -0.32%; 95%CI = -0.38%; -0.27%) and were less likely to initiate insulin (aOR = 0.77; 95%CI = 0.63; 0.94). A predictive model explained 22.3% of the variation and presented a satisfactory performance (AUC = 0.721; Brier score = 0.177). The most important predictors of non-adherence were: non-Spanish nationality, currently working, low adherence to previous drugs, taking biguanides, smoker and absence of hypertension.

CONCLUSION

Around one-third of the patients do not adhere to their non-insulin glucose-lowering drugs. More research is needed to optimise the performance of the predicting model before considering its implementation in routine clinical practice.

Developing an Integrated Longitudinal Dataset for Patient-Centered Outcome Measures in Cost-Related Medication Nonadherence

BACKGROUND

Cost-related medication nonadherence (CRN) is an important patient-centered outcome measure. Longitudinal follow-up of CRN is rare.

OBJECTIVE

We propose to develop a novel integrated dataset to study CRN longitudinally.

RESEARCH DESIGN

A dataset of 2000 Medicare beneficiaries at high risk of hospitalization surveyed quarterly on CRN and followed up individually for 8 quarters between 2013 and 2018 was linked to Medicare files. A metric of CRN categorizing persistent, intermittent, and transient CRN during the 8 quarters was developed. An ordered logit model and a logit model were developed to assess the factors influencing CRN overall and persistent CRN, respectively.

RESULTS

A total of 1761 patients were included in the analysis, among whom 869 (49.3%) reported CRN at least once in the 8-quarter study period, 178 (10%) reported persistent CRN, 395 (22.4%) reported intermittent CRN, and 296 (16.8%) reported transient CRN. The conditional effect in the logit model for persistent CRN revealed that baseline dual eligibility was negatively associated (adjusted odds ratio = 0.45, P < 0.01) and depression positively associated (adjusted odds ratio = 1.55, P = 0.01) with persistent CRN. The marginal analysis in the ordered logit model revealed a clear pattern of higher probabilities of persistent and intermittent CRN at younger ages while transient CRN was flat. Among the 252 subjects who were deceased, 31 (12.3%) reported persistent CRN, compared with 147 (9.74%) who were alive (P = 0.21 by χ2 test).

CONCLUSIONS

A significant number of patients reported persistent CRN, including those who were at the end of life. Research is critically needed to understand behavioral patterns among the younger Medicare population.

Severity of posttraumatic stress disorder, type 2 diabetes outcomes and all-cause mortality: A retrospective cohort study

BACKGROUND

Some evidence suggests patients with comorbid PTSD and type 2 diabetes (T2D) have worse T2D outcomes than those with T2D alone. However, there is no evidence regarding PTSD severity and risk for starting insulin, hyperglycemia, microvascular complications, and all-cause mortality.

METHODS

In this retrospective cohort study, Veterans Health Affairs (VHA) medical record data from fiscal year (FY) 2012 to FY2022 were used to identify eligible patients (n = 23,161) who had a PTSD diagnosis, ≥1 PTSD Checklist score, controlled T2D (HbA1c ≤ 7.5) without microvascular complications at baseline. PTSD Checklist for DSM-5 (PCL-5) scores defined mild, moderate, and severe PTSD. Competing risk and survival models estimated the association between PTSD severity and T2D outcomes before and after controlling for confounding.

RESULTS

Most (70%) patients were ≥ 50 years of age, 88% were male, 64.2% were of white race and 17.1% had mild, 67.4% moderate and 15.5% severe PTSD. After control for confounding, as compared to mild PTSD, moderate (HR = 1.05; 95% CI:1.01-1.11) and severe PTSD (HR = 1.15; 95%CI:1.07-1.23) were significantly associated with increased risk for microvascular complication. Hyperarousal was associated with a 42% lower risk of starting insulin. Negative mood was associated with a 16% increased risk for any microvascular complication. Severe PTSD was associated with a lower risk for all-cause mortality (HR = 0.76; 95%CI:0.63-0.91).

CONCLUSIONS

Patients with comorbid PTSD and T2D have an increased risk for microvascular complications. However, they have lower mortality risk perhaps due to more health care use and earlier chronic disease detection. PTSD screening among patients with T2D may be warranted.

The impact of the Sri Lankan economic crisis on medication adherence: An online cross-sectional survey

Background

The economic crisis in Sri Lanka has disarrayed the country's healthcare services, posing a challenge to people with chronic diseases on routine care. This study investigated the changes in medication adherence during the economic crisis.

Methods

A web-based cross-sectional survey was undertaken in July-August 2022. It assessed socio-demographics, diseases, medication adherence, and reasons for changes in compliance of respondents and their family members during the economic crisis. Descriptive statistics and multivariable logistic regression analysis were used.

Findings

A total of 1214 respondents, aged ≥18 years were included in the survey. The majority were females (60%). The main finding was that 39%, 41%, and 37% of participants, their family members, or children respectively have changed medication use during the crisis. Among those who changed their medication practices, the most significant change was the change in the brand, reported by 44.7% of the respondents. A similar pattern was observed among other family members, with 61.3% of adults and 53.8% of children switching brands. Respondents who lived outside the Colombo district had a significantly increased risk of changing medication (OR = 1.425, 95% CI = 1.020-1.992, P = 0.038). Respondents with monthly incomes of less than 100,000 LKR had a twofold greater risk of medication nonadherence compared to participants who earned more than 100,000 LKR per month (OR = 2.278, 95% CI = 1.37-3.78, P = 0.001). The most stated reason for changing medication among adults was the high cost of drugs, whereas among, children, the lack of access to drugs in the public or private sector was the leading cause of non-compliance.

Interpretation

The population's adherence to medication is negatively impacted by the economic crisis in Sri Lanka.

Insights Into Metformin XR Pharmacotherapy Knowledge Among Community Pharmacists: A Cross-Sectional Study

Background

There is a little knowledge on the extent to which healthcare providers understand and accept the professional recommendations and appropriate dosing strategy regarding metformin XR.

Objectives

To evaluate UAE community pharmacists' knowledge, attitude, and practices (KAP) concerning metformin XR.

Methods

This is a cross-sectional research study conducted amongst licensed community pharmacists. The survey took place via a questionnaire and physical interviews were held. The survey used in this study included questions on demographics and questions on the participants' attitudes, knowledge and practices concerning metformin XR. The factors influencing KAP regarding metformin XR were examined via simple logistic regression analysis.

Results

Threehundred fifty-three (n = 353) participants were recruited in the study. Independent pharmacies constituted 57.5% of this study sample and 42.5% were chain pharmacies. The average knowledge score about metformin XR tablets was 42.5% with a confidence interval (CI) of 95% [37.3%, 47.4]. Better knowledge scores on metformin XR tablets was observed in respondents aged ⩾40 years (OR 2.97, 95% CI 1.63-5.4), having greater than 10 years in terms of experience (OR 2.28; 95% CI 1.25-4.16) and pharmacist graduated from Regional or international universities (OR 2.08; 95% CI 1.34-3.24). About 78% (n = 275) of the participants believed that metformin XR tablets have better efficacy and 63.2% (n = 233) indicated that metformin IR was associated with greater adverse effects.

Conclusion

This study demonstrated a distinct gap in knowledge, attitude and practice pertaining to metformin XR among community pharmacists in the UAE. The community pharmacists need to enhance their practice by receiving accurate and reliable data to support their decision-making on the prescribing of metformin XR. The implementation of novel guidelines and evidence dissemination strategies may help bridge this gap.

Understanding the influence of ethnicity on adherence to antidiabetic medication: Meta-ethnography and systematic review

INTRODUCTION

A high prevalence of diabetes and diabetes-related complications in people from minority ethnic communities in high income countries is of significant concern. Several studies have indicated low adherence rates to antidiabetic medication in ethnic minority groups. Poor adherence to antidiabetic medication leads to a higher risk of complications and potential mortality. This review aims to qualitatively explore the barriers to and facilitators of adherence to antidiabetic medication among ethnic minority groups in high-income countries.

METHODS

A comprehensive search of MEDLINE, Embase, CINAHL, PsycINFO, and Global Health databases for qualitative studies exploring the barriers to or facilitators of adherence to antidiabetic medication in minority ethnic groups was conducted from database inception to March 2023 (PROSPERO CRD42022320681). A quality assessment of the included studies was conducted using the Critical Appraisal Skills Programme (CASP) tool. Key concepts and themes from relevant studies were synthesised using a meta-ethnographic approach. The Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative research (GRADE-CERQual) approach was used to assess the Confidence in the review findings.

RESULT

Of 13,994 citations screened, 21 studies that included primary qualitative studies were selected, each of which involved people from minority ethnic communities from eight high income countries. This qualitative evidence synthesis has identified three overarching themes around the barriers to and facilitators of adherence to antidiabetic medication among ethnic minority groups.: 1) cultural underpinnings, 2) communication and building relationships, and 3) managing diabetes during visiting home countries. Based on the GRADE-CERQual assessment, we had mainly moderate- and high-confidence findings.

CONCLUSION

Multiple barriers and facilitators of adherence to antidiabetic medication among people from minority ethnic communities in high-income countries have been identified. A medication adherence intervention focusing on identified barriers to adherence to antidiabetic medication in these communities may help in improving diabetes outcomes in these groups.

Understanding reasons and determinants of medication non-adherence in community-dwelling adults: a cross-sectional study comparing young and older age groups

BACKGROUND

Medication non-adherence has become a striking problem among patients with chronic diseases worldwide. However, literature on prevalence, reasons and factors associated with medication non-adherence in Singapore general population is still lacking. This study aimed to (1) estimate the prevalence of intentional and unintentional medication non-adherence in young (aged 21-64 years) and older adults (aged ≥ 65 years), respectively; (2) identify and compare the main reasons for non-adherence; and (3) examine the association between potential factors and non-adherence in each group.

METHODS

This study sampled 1,528 community-dwelling adults on medications (young adults:766, older adults: 762) from a cross-sectional population health survey conducted in the northern and central regions of Singapore in 2018/2019. Self-reported medication non-adherence and its reasons were collected using a modified questionnaire and compared between the two groups. Multiple logistic regressions were conducted to examine the association between potential factors (e.g., social-demographic factors, smoking and drinking status, presence of diabetes, hypertension, or dyslipidaemia, and presence of depressive symptoms) and medication non-adherence in each group.

RESULTS

The prevalence of non-adherence was 38.4% and 22.3% in young and older adults, respectively, with young adults reporting higher unintentional and intentional non-adherence rates than older adults. "Afraid of developing drug dependence" was the most common reason in both groups (young:74.8% vs. old:73.5%). Compared to young adults (3.7%), "Not understanding medication labels" was more prevalent in older adults (8.8%). Presence of depressive symptoms was associated with non-adherence in both young (odds ratio [95% confidence interval]: 3.00 [1.79, 5.05]) and older adults (4.16 [2.31, 7.51]). Being employed (2.92 [1.76, 4.84]) and taking ≥ 2 medications (1.42 [1.04, 1.95]) had positive association while personal income of SGD1,000-4,000 (0.53 [0.36, 0.77]) and current smoking (0.61 [0.39, 0.95]) had inverse association with non-compliance in young adults. Diagnosis of diabetes, hypertension, or dyslipidaemia (2.63 [1.25, 5.53]) was associated with higher odds of non-compliance in older adults.

CONCLUSIONS

Young adults had higher prevalence of medication non-adherence than older adults. The main reasons for non-adherence reported by young and older adults were generally comparable. Presence of depressive symptoms was a risk factor of medication non-adherence in both groups.

New Insights into the Latest Advancement in α-Amylase Inhibitors of Plant Origin with Anti-Diabetic Effects

The rising predominance of type 2 diabetes, combined with the poor medical effects seen with commercially available anti-diabetic medications, has motivated the development of innovative treatment approaches for regulating postprandial glucose levels. Natural carbohydrate digestion enzyme inhibitors might be a viable option for blocking dietary carbohydrate absorption with fewer side effects than manufactured medicines. Alpha-amylase is a metalloenzyme that facilitates digestion by breaking down polysaccharides into smaller molecules such as maltose and maltotriose. It also contributes to elevated blood glucose levels and postprandial hyperglycemia. As a result, scientists are being urged to target α-amylase and create inhibitors that can slow down the release of glucose from carbohydrate chains and prolong its absorption, thereby resulting in lower postprandial plasma glucose levels. Natural α-amylase inhibitors derived from plants have gained popularity as safe and cost-effective alternatives. The bioactive components responsible for the inhibitory actions of various plant extracts have been identified through phytochemical research, paving the way for further development and application. The majority of the findings, however, are based on in vitro investigations. Only a few animal experiments and very few human investigations have confirmed these findings. Despite some promising results, additional investigation is needed to develop feasible anti-diabetic drugs based on plant-derived pancreatic α-amylase inhibitors. This review summarizes the most recent findings from research on plant-derived pancreatic α-amylase inhibitors, including plant extracts and plant-derived bioactive compounds. Furthermore, it offers insights into the structural aspects of the crucial therapeutic target, α-amylases, in addition to their interactions with inhibitors.

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.

Toward the Design of Sensing-Based Medication Adherence Aids That Support Individualized Activities of Daily Living: Survey and Interviews With Patients and Providers

BACKGROUND

Nearly half of Americans taking prescription medications do not take them properly. The resulting implications have a broad impact. Nonadhering patients develop worsened medical conditions and increased comorbidity of disease or die.

OBJECTIVE

Clinical studies have shown that the most effective strategies for addressing adherence are those that are individualized to the context that each patient and situation require. However, existing aids for adherence are relatively ridged and poorly support adaptation to individual behaviors and lifestyles. The aim of our study was to better understand this design tension.

METHODS

A series of 3 qualitative studies was conducted: a web-based survey of 200 Americans that investigated existing adherence strategies and behaviors and perception of how hypothetical in-home tracking technologies would assist adherence; in-person semistructured interviews with 20 medication takers from Pittsburgh, PA, that investigated personal adherence behaviors, which included demonstration of medication locations and routines as well as an assessment of hypothetical technologies; and semistructured interviews with 6 pharmacists and 3 family physicians to gain a provider perspective on patient adherence strategies, which included feedback on hypothetical technologies in the context of their patient populations. Inductive thematic coding of all interview data was performed. Studies were conducted consecutively, with the results informing the subsequent studies.

RESULTS

Synthesized, the studies identified key medication adherence behaviors amenable to technological interventions, distilled important home-sensing literacy considerations, and detailed critical privacy considerations. Specifically, 4 key insights were obtained: medication routines are heavily influenced and adapted by and through the physical location and placement of medications relative to activities of daily living, routines are chosen to be inconspicuous to maintain privacy, the value of provider-involved routines is motivated by a desire to build trust in shared decision-making, and the introduction of new technologies can create further burden on patients and providers.

CONCLUSIONS

There is considerable potential to improve individual medication adherence by creating behavior-focused interventions that leverage emerging artificial intelligence (AI), machine learning (ML), and in-home Internet of Things (IoT) sensing technologies. However, success will be dependent on the technology's ability to learn effectively and accurately from individual behaviors, needs, and routines and tailor interventions accordingly. Patient routines and attitudes toward adherence will likely affect the use of proactive (eg, AI-assistant routine modification) versus reactive (eg, notification of associated behaviors with missed dosages) intervention strategies. Successful technological interventions must support the detection and tracking of patient routines that can adjust to variations in patient location, schedule, independence, and habituation.

Educational differences in healthcare use among survivors after breast, prostate, lung, and colon cancer - a SEQUEL cohort study

BACKGROUND

Many cancer survivors experience late effects after cancer. Comorbidity, health literacy, late effects, and help-seeking behavior may affect healthcare use and may differ among socioeconomic groups. We examined healthcare use among cancer survivors, compared with cancer-free individuals, and investigated educational differences in healthcare use among cancer survivors.

METHODS

A Danish cohort of 127,472 breast, prostate, lung, and colon cancer survivors from the national cancer databases, and 637,258 age- and sex-matched cancer-free individuals was established. Date of entry was 12 months after diagnosis/index date (for cancer-free individuals). Follow-up ended at death, emigration, new primary cancer, December 31st, 2018, or up to 10 years. Information about education and healthcare use, defined as the number of consultations with general practitioner (GP), private practicing specialists (PPS), hospital, and acute healthcare contacts 1-9 years after diagnosis/index date, was extracted from national registers. We used Poisson regression models to compare healthcare use between cancer survivors and cancer-free individuals, and to investigate the association between education and healthcare use among cancer survivors.

RESULTS

Cancer survivors had more GP, hospital, and acute healthcare contacts than cancer-free individuals, while the use of PPS were alike. One-to-four-year survivors with short compared to long education had more GP consultations (breast, rate ratios (RR) = 1.28, 95% CI = 1.25-1.30; prostate, RR = 1.14, 95% CI = 1.10-1.18; lung, RR = 1.18, 95% CI = 1.13-1.23; and colon cancer, RR = 1.17, 95% CI = 1.13-1.22) and acute contacts (breast, RR = 1.35, 95% CI = 1.26-1.45; prostate, RR = 1.26, 95% CI = 1.15-1.38; lung, RR = 1.24, 95% CI = 1.16-1.33; and colon cancer, RR = 1.35, 95% CI = 1.14-1.60), even after adjusting for comorbidity. One-to-four-year survivors with short compared to long education had less consultations with PPS, while no association was observed for hospital contacts.

CONCLUSION

Cancer survivors used more healthcare than cancer-free individuals. Cancer survivors with short education had more GP and acute healthcare contacts than survivors with long education. To optimize healthcare use after cancer, we need to better understand survivors' healthcare-seeking behaviors and their specific needs, especially among survivors with short education.

A hospital-based assessment of glycemic control and medication adherence in type 2 diabetes mellitus in Eastern Nepal

Background

Poor glycemic control in type 2 diabetes mellitus (T2DM) causes damage to various organs and leads to the development of disabling and life-threatening complications.

Objectives

To find out the prevalence of glycemic control and medication adherence (MA) and the factors affecting them.

Methods

A cross-sectional study was conducted among patients with T2DM. The patients were categorized as good glycemic control (HbA1c <7.0%) and poor glycemic control (HbA1c ≥7.0%). MA was categorized as low (score <6), medium (score 6 or 7), and high (score 8). The Statistical Package for Social Science (version 11.5) was used for statistical analysis at a P value less than 0.05.

Results

Of 129 patients, 65 (50.39%) were females. The mean age was 48.33 ± 12.86 years. The combination of metformin and glimepiride was prescribed to 37 (28.68%) patients. Diabetic knowledge was poor in 84 (65.12%) patients. Glycemic control was good in 108 (83.72%) patients. MA was medium in 72 (55.81%) patients. Patients taking regular fruit, having shorter duration of drug therapy, and having good diabetic knowledge had good glycemic control and were statistically significant (P value < 0.05). Patients having family support, nonalcoholic, taking regular fruit, being involved in daily jogging, having shorter duration of drug therapy, and having good diabetic knowledge had high MA and were statistically significant (P value < 0.05).

Conclusion

The majority of the diabetic patients had good glycemic control and medium MA. Patients taking regular fruit, being involved in daily jogging, having a shorter duration of drug therapy, and having good diabetic knowledge were identified as factors that affect both glycemic control and MA.

Fukushima study for Engaging people with type 2 Diabetes in Behaviour Associated Change (FEEDBACK): study protocol for a cluster randomised controlled trial

BACKGROUND

The growing burden of type 2 diabetes mellitus (T2DM) and the rising cost of healthcare worldwide make it imperative to identify interventions that can promote sustained self-management behaviour in T2DM populations while minimising costs for healthcare systems. The present FEEDBACK study (Fukushima study for Engaging people with type 2 Diabetes in Behaviour Associated Change) aims to evaluate the effects of a novel behaviour change intervention designed to be easily implemented and scaled across a wide range of primary care settings.

METHODS

A cluster randomised controlled trial (RCT) with a 6-month follow-up will be conducted to evaluate the effects of the FEEDBACK intervention. FEEDBACK is a personalised, multi-component intervention intended to be delivered by general practitioners during a routine diabetes consultation. It consists of five steps aimed at enhancing doctor-patient partnership to motivate self-management behaviour: (1) communication of cardiovascular risks using a 'heart age' tool, (2) goal setting, (3) action planning, (4) behavioural contracting, and (5) feedback on behaviour. We aim to recruit 264 adults with T2DM and suboptimal glycaemic control from 20 primary care practices in Japan (cluster units) that will be randomly assigned to either the intervention or control group. The primary outcome measure will be the change in HbA1c levels at 6-month follow-up. Secondary outcome measures include the change in cardiovascular risk score, the probability to achieve the recommended glycaemic target (HbA1c <7.0% [53mmol/mol]) at 6-month follow-up, and a range of behavioural and psychosocial variables. The planned primary analyses will be carried out at the individual level, according to the intention-to-treat principle. Between-group comparisons for the primary outcome will be analysed using mixed-effects models. This study protocol received ethical approval from the research ethics committee of Kashima Hospital, Fukushima, Japan (reference number: 2022002).

DISCUSSION

This article describes the design of a cluster RCT that will evaluate the effects of FEEDBACK, a personalised, multicomponent intervention aimed at enhancing doctor-patient partnership to engage adults with T2DM more effectively in self-management behaviour.

TRIAL REGISTRATION

The study protocol was prospectively registered in the UMIN Clinical Trials Registry (UMIN-CTR ID UMIN000049643 assigned on 29/11/2022). On submission of this manuscript, recruitment of participants is ongoing.

Randomized prospective trial to detect and distinguish between medication nonadherence, drug-drug interactions, and disease progression in chronic cardiometabolic disease

BACKGROUND

Disentangling nonadherence (NA), drug-drug interactions (DDIs), and disease progression from each other is an important clinical challenge for providers caring for patients with cardiometabolic diseases. NAs and DDIs are both ubiquitous and often overlooked. We studied a novel chronic disease management (CDM) test to detect medication adherence and the presence and severity of DDIs.

MATERIALS AND METHODS

We conducted a prospective, randomized controlled trial of 236 primary care physicians using computer-based, simulated patients, measuring clinical care with and without access to the CDM test. The primary outcomes were whether use of the CDM test increased the accuracy of diagnoses and ordering better treatments and how effective the intervention materials were in getting participants to order the CDM test.

RESULTS

Physicians given the CDM test results showed a + 13.2% improvement in their diagnosis and treatment quality-of-care scores (p < 0.001) in the NA patient cases and a + 13.6% improvement in the DDI cases (p < 0.001). The difference-in-difference calculations between the intervention and control groups were + 10.4% for NA and + 10.8% for DDI (p < 0.01 for both). After controlling for physician and practice co-factors, intervention, compared to control, was 50.4x more likely to recognize medication NA and 3.3x more likely to correctly treat it. Intervention was 26.9x more likely to identify the DDI and 15.7x more likely to stop/switch the interacting medication compared to control. We found no significant improvements for the disease progression patient cases.

CONCLUSION

Distinguishing between nonadherence, drug-drug interactions, and disease progression is greatly improved using a reliable test, like the CDM test; improved diagnostic accuracy and treatment has the potential to improve patient quality of life, medication safety, clinical outcomes, and efficiency of health delivery.

TRIAL REGISTRATION

clinicaltrials.gov (NCT05192590).

Does affirmative action reduce disparities in healthcare use by Indigenous peoples? Evidence from Australia's Indigenous Practice Incentives Program

Globally, Indigenous populations experience poorer health but use less primary healthcare than their non-Indigenous counterparts. In 2010, the Australian government introduced a targeted reform aimed at reducing these disparities. The reform reduced, or abolished prescription medicine co-payments and provided financial incentives for GPs to better manage chronic disease care for Indigenous peoples. Exploiting the framework of a natural experiment, we investigate how the reform affected these health disparities in primary and specialist healthcare utilization using longitudinal administrative data from 75,826 Australians, including 1896 Indigenous peoples, with cardiovascular disease. The differences-in-differences estimates indicate that the reform increased primary healthcare use among Indigenous peoples, including 12.9% more prescription medicines, 6.6% more GP services, and 34.0% more chronic disease services, but also reduced specialist attendances by 11.8%. Increases in primary care were larger for those who received the largest co-payment relief and lived in metropolitan regions, whereas the reduction in specialist attendances was concentrated among lower income Indigenous patients. Affirmative action can reduce inequalities in Indigenous use of primary healthcare, albeit careful design is required to ensure that benefits are equitable and do not lead to substitution away from valuable, or necessary, care.

The Role of Habit Formation and Automaticity in Diabetes Self-Management: Current Evidence and Future Applications

PURPOSE OF REVIEW

Diabetes is a chronic condition that requires consistent self-management for optimal health outcomes. People with diabetes are prone to burnout, cognitive burden, and sub-optimal performance of self-management tasks. Interventions that focus on habit formation have the potential to increase engagement by facilitating automaticity of self-management task performance. The purpose of this review is to (1) clarify the conceptualizations of habit formation and behavioral automaticity in the context of health behavior interventions, (2) review the evidence of habit in relation to behaviors relevant to diabetes self-management, and (3) discuss opportunities for incorporating habit formation and automaticity into diabetes self-management interventions.

RECENT FINDINGS

Modern habit research describes a habit as a behavior that results over time from an automatic mental process. Automatic behaviors are experienced as cue-dependent, goal-independent, unconscious, and efficient. Habit formation requires context-dependent repetition to form cue-behavior associations. Results of diabetes habit studies are mixed. Observational studies have shown positive associations between habit strength and target self-management behaviors such as taking medication and monitoring blood glucose, as well as glycemic outcomes such as HbA1c. However, intervention studies conducted in similar populations have not demonstrated a significant benefit of habit-forming interventions compared to controls, possibly due to varying techniques used to promote habit formation. Automaticity of self-management behaviors has the potential to minimize the burden associated with performance of self-management tasks and ultimately improve outcomes for people with diabetes. Future studies should focus on refining interventions focused on context-dependent repetition to promote habit formation and better measurement of habit automaticity in diabetes self-management.

Patients' Perceived Importance of Medication and Adherence in Polypharmacy, a Quantitative, Cross-Sectional Study Using a Questionnaire Administered in Three Doctors' Private Practices in France

BACKGROUND

Among the determinants of nonadherence, polypharmacy (common in people with multiple pathologies and especially in elderly patients), plays a major role.

OBJECTIVE

In patients who are subject to polypharmacy involving different classes of medications, the first aim is to assess the impact of medication importance given by patients on (i) medication adherence and (ii) the respective effect of intentionality and habit in medication importance and medication adherence. The second objective is to compare the importance given to medication and adherence in the different therapeutic classes.

PATIENTS AND METHODS

Patients taking 5-10 different medications for at least 1 month were included in a cross-sectional survey in three private practices in one region in France.

RESULTS

This study included 130 patients (59.2 % female) with 851 medications in total. The mean ± standard deviation (SD) age was 70.5 ± 12.2 years. The mean ± SD of medications taken was 6.9 ± 1.7. Treatment adherence had a strong positive correlation with the patient-perceived medication importance (p < 0.001). Counter-intuitively, taking a large number of medications (≥7) was associated with being fully adherent (p = 0.02). A high intentional nonadherence score was negatively associated with high medication importance (p = 0.003). Furthermore, patient-perceived medication importance was positively associated with taking treatment by habit (p = 0.03). Overall nonadherence more strongly correlated with unintentional nonadherence (p < 0.001) than with intentional nonadherence (p = 0.02). Compared to the antihypertensive class, a decrease in adherence by medication was observed in psychoanaleptics (p < 0.0001) and drugs used in diabetes class (p = 0.002), and a decrease in importance in lipid-modifying agents class (p = 0.001) and psychoanaleptics (p < 0.0001).

CONCLUSION

The perception of the importance of a medicine is associated with the place of intentionality and habit in patient adherence. Therefore, explaining the importance of a medicine should become an important part of patient education.

Comparison of Sodium-Glucose Cotransporter-2 Inhibitor and Glucagon-Like Peptide-1 Receptor Agonist Prescribing in Patients With Diabetes Mellitus With and Without Cardiovascular Disease

Sodium-glucose cotransporter-2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP1-RAs) reduce cardiovascular events and mortality in patients with type 2 diabetes mellitus (T2DM). We sought to describe trends in prescribing for SGLT2is and GLP1-RAs in diverse care settings, including (1) the outpatient clinics of a midwestern integrated health system and (2) small- and medium-sized community-based primary care practices and health centers in 3 midwestern states. We included adults with T2DM and ≥1 outpatient clinic visit. The outcomes of interest were annual active prescription rates for SGLT2is and GLP1-RAs (separately). In the integrated health system, 22,672 patients met the case definition of T2DM. From 2013 to 2019, the overall prescription rate for SGLT2is increased from 1% to 15% (absolute difference [AD] 14%, 95% confidence interval [CI] 13% to 15%, p <0.01). The GLP1-RA prescription rate was stable at 10% (AD 0%, 95% CI -1% to 1%, p = 0.9). In community-based primary care practices, 43,340 patients met the case definition of T2DM. From 2013 to 2017, the SGLT2i prescription rate increased from 3% to 7% (AD 4%, 95% CI 3% to 6%, p <0.01), whereas the GLP1-RA prescription rate was stable at 2% to 3% (AD 1%, 95% CI -1 to 1%, p = 0.40). In a fully adjusted regression model, non-Hispanic Black patients had lower odds of SGLT2i or GLP1-RA prescription (odds ratio 0.56, 95% CI 0.34 to 0.89, p = 0.016). In conclusion, the increase in prescription rates was greater for SGLT2is than for GLP1-RAs in patients with T2DM in a large integrated medical center and community primary care practices. Overall, prescription rates for eligible patients were low, and racial disparities were observed.

Psychosocial factors predict medication adherence in young adults with youth-onset type 2 diabetes: Longitudinal results from the TODAY2 iCount study

AIM

To identify psychosocial predictors of medication adherence in young adults with youth-onset type 2 diabetes in the Treatment Options for type 2 Diabetes in Adolescents and Youth (TODAY2) cohort.

METHODS

Participants (mean age: 26 years) completed validated psychosocial measures. Unannounced telephone pill counts were completed at T1 (baseline) and T2 (follow-up, approximately 1 year later) to assess adherence to oral hypoglycaemia agents (OHAs). Adherence to insulin was assessed by self-report. Logistic and linear regressions identified factors that predicted 'low adherence' (<80% of pills/insulin) and per cent adherence, adjusted for potential confounders.

RESULTS

Of 171 participants with OHA adherence scores at T1 and T2 (65% women, 43% Hispanic and 35% non-Hispanic Black), 65.4% were low adherent. After adjustment (including T1 adherence), concerns about diabetes medicines (adverse effects, dependence) at T1 predicted higher odds of being low adherent (categorical) at T2 (p = 0.019). Housing insecurity (p = 0.045) and reporting ≥2 need insecurities (p = 0.027) at T1 predicted lower per cent adherence (continuous) at T2. Of 157 participants with insulin adherence scores at T1 and T2 (69% women, 38% Hispanic and 38% non-Hispanic Black), 36.3% were low adherent. After adjustment (including T1 adherence), beliefs that medicines are overused predicted higher odds of insulin low adherence at T2 (p = 0.013), and beliefs that medicines are harmful (p = 0.004) and overused (p = 0.010) predicted lower per cent insulin adherence at T2.

CONCLUSIONS

Suboptimal medication adherence, common in young adults with youth-onset type 2 diabetes, is predicted by interfering beliefs about medicines and social factors. We must address these beliefs and unmet needs to develop tailored interventions for this vulnerable group.

A Comparative Study on the Efficacy and Safety of Dose Escalation of Luseogliflozin in Type 2 Diabetes Mellitus Patients With Poor Glycemic Control

Objective In this study, we aimed to assess the safety and efficacy of the dose escalation of luseogliflozin (LUSEO) in type 2 diabetes mellitus (T2DM) patients with poor glycemic control. To that end, we compared two groups assigned to two different doses of luseogliflozin (LUSEO) for 12 weeks. Methods Patients with a hemoglobin A1c (HbA1c) level of 7% or higher already on treatment with luseogliflozin 2.5 mg/day for 12 weeks or longer were randomly assigned to either the 2.5-mg/day group (control group) or the 5-mg/day group (dose-escalation group) of luseogliflozin through the envelope method and were treated for 12 weeks. Blood and urine samples were collected at two different time points: at weeks 0 and 12 after randomization. The primary outcome was the change in HbA1c from the baseline to 12 weeks. The secondary outcomes were changes in the body mass index (BMI), body weight (BW), blood pressure (BP), fasting plasma glucose (FPG), lipid parameters, hepatic function, or renal function from the baseline to 12 weeks. Results Based on our findings, HbA1c levels significantly decreased in the dose-escalation group when compared to the control group (p<0.001) at week 12. Conclusion For T2DM patients with poor glycemic control under treatment with LUSEO at a dose of 2.5 mg, dose escalation of LUSEO to 5 mg safely improved glycemic control, and this might prove to be an effective and safe treatment option.

The MGPIDP-L project: Potentially inappropriate drug prescribing and its associated factors

OBJECTIVE

The aim of this study was to identify the prevalence of potentially inappropriate drug prescribing¹ (PIDP) using a combination of explicit and implicit criteria in a sample of Lebanese older adults taking 5 or more chronic medications per day in ambulatory care settings and to identify which factors were associated with PIDP. The explicit criteria included five different lists: Beers, Laroche, European Union (EU(7)-PIM list), STOPP/ START, STOPP Frail, and Alert and Mastering of Iatrogenesis issued by the French High Authority of Health. We also performed a sensitivity analysis to compare the potentially inappropriate medications according to each criterion.

METHODS

Data were collected from each patient via a face-to-face interview. Logistic regressions were conducted to evaluate both objectives.

RESULTS

Many factors were positively associated with PIDP. The risk of PIDP was positively associated with age (OR =4.692, 95% CI [1.889-11.655]). Treatment for insomnia doubled the odds of PIDP (P<0.05). Participants who picked their medications from the pharmacy and had excess stock of drugs were at higher risk of having PIDP by 2.042 (95% CI [1.199-3.478]) and 2.965(95% CI [1.133-7.762]) respectively. However, patients with a perception of being heavily medicated and patients with a missed dose in the last two weeks had lower odds of PIDP.

CONCLUSION

Our study showed a high prevalence of PIDP in Lebanon, which is associated with various correlates. Selecting the appropriate tools to assess PIDP and providing patient education regarding the risks associated with potentially inappropriate medications are issues to be addressed among older adults.

What affected UK adults' adherence to medicines during the COVID-19 pandemic? Cross-sectional survey in a representative sample of people with long-term conditions

Aim

Medicines non-adherence is associated with poorer outcomes and higher costs. COVID-19 affected access to healthcare, with increased reliance on remote methods, including medicines supply. This study aimed to identify what affected people's adherence to medicines for long-term conditions (LTCs) during the pandemic.

Subject and methods

Cross-sectional online survey of UK adults prescribed medicines for LTCs assessing self-reported medicines adherence, reasons for non-adherence (using the capability, opportunity and motivation model of behaviour [COM-B]), medicines access and COVID-19-related behaviours.

Results

The 1746 respondents reported a mean (SD) of 2.5 (1.9) LTCs, for which they were taking 2.4 (1.9) prescribed medicines, 525 (30.1%) reported using digital tools to support ordering or taking medicines and 22.6% reported medicines non-adherence. No access to at least one medicine was reported by 182 (10.4%) respondents; 1048 (60.0%) reported taking at least one non-prescription medicine as a substitute; 409 (23.4%) requested emergency supply from pharmacy for at least one medicine. Problems accessing medicines, being younger, male, in the highest socioeconomic group and working were linked to poorer adherence. Access problems were mostly directly or indirectly related to the COVID-19 pandemic. Respondents were generally lacking in capabilities and opportunities, but disruptions to habits (automatic motivation) was the major reason for non-adherence.

Conclusion

Navigating changes in how medicines were accessed, and disruption of habits during the COVID-19 pandemic, was associated with suboptimal adherence. People were resourceful in overcoming barriers to access. Solutions to support medicines-taking need to take account of the multiple ways that medicines are prescribed and supplied remotely.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10389-022-01813-0.

Impact of removing prescription co-payments on the use of costly health services: a pragmatic randomised controlled trial

OBJECTIVES

To determine whether exempting people (with high health needs and living in areas of high deprivation) from a $5 prescription charge reduces hospital use.

DESIGN

Two-group parallel prospective randomised controlled trial.

SETTING

People living in the community in various regions of New Zealand.

PARTICIPANTS

One thousand sixty one people who lived in areas of high socioeconomic deprivation, and either took medicines for diabetes, took antipsychotic medicines, or had chronic obstructive pulmonary disease (COPD). Of the 1053 who completed the study, just under half (49%) were Māori.

INTERVENTIONS

Participants were individually randomized (1-1 ratio) to either be exempted from the standard $5 charge per prescription item for one year (2019-2020) (n = 591) or usual care (n = 469). Those in the intervention group did not pay the standard NZ$5 charge, and pharmacies billed the study for these. Participants continued to pay any other costs for prescription medicines. Those in the control group continued to pay all prescription charges for the year although they may have received one-off assistance from other agencies.

MAIN OUTCOME MEASURES

The primary outcome was length of stay (hospital bed-days). Secondary outcomes presented in this paper included: all-cause hospitalisations, hospitalisations for diabetes/mental health problems/COPD, deaths, and emergency department visits.

RESULTS

The trial was under-powered because the recruitment target was not met. There was no statistically significant reduction in the primary outcome, hospital bed-days (IRR = 0.68, CI: 0.54 to 1.05). Participants in the intervention group were significantly less likely to be hospitalised during the study year than those in the control group (OR = 0.70, CI: 0.54 to 0.90). There were statistically significant reductions in the number of hospital admissions for mental health problems (IRR = 0.39, CI: 0.17 to 0.92), the number of admissions for COPD (IRR = 0.37, CI: 0.16 to 0.85), and length of stay for COPD (IRR 0.20, CI: 0.07 to 0.60). Apart from all-cause mortality and diabetes length of stay, all measures were better for the intervention group than the control group.

CONCLUSIONS

Eliminating a small co-payment appears to have had a substantial effect on patients' risk of being hospitalised. Given the small amount of revenue gathered from the charges, and the comparative large costs of hospitalisations, the results suggest that these charges are likely to increase the overall cost of healthcare, as well as exacerbate ethnic inequalities.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12618001486213 registered on 04/09/2018.

Primary nonadherence to drugs prescribed by general practitioners: A Dutch database study

AIM

Primary nonadherence (PNA) is defined as not filling the first prescription for a drug treatment. PNA can lead not only to poor patient outcomes but also to exposure misclassification in written prescription databases. This study aims to estimate PNA in primary care in the Netherlands and to investigate associated factors.

METHODS

Patients from the Nivel Primary Care Database (Nivel-PCD) who received a new prescription (>1 year not prescribed) from a general practitioner in 2012 were linked to pharmacy dispensing information of consenting pharmacies based on sex, year of birth, four-digit postal code and at least 50% matching Anatomical Therapeutic Classification codes. PNA was defined as not having a prescription dispensed within 30 days from the prescribing date. PNA was assessed overall and per drug class. The associations between PNA and several patient- and prescription-related characteristics were assessed using mixed-effects logistic regression models.

RESULTS

After matching 86 361 of 396 251 subjects (21.8%) in the Nivel-PCD records to the pharmacy records, this study included 65 877 subjects who received 181 939 new drug prescriptions. Overall, PNA was 11.5%. PNA was lowest for thyroid hormones (5.5%) and highest for proton pump inhibitors (12.8%). Several factors were associated with PNA, such as having comorbidities (odds ratio [OR] 1.46, 95% confidence interval [CI] 1.37-1.56 for >3 active diagnoses, compared to no active diagnoses) or reimbursement status (OR 2.78, 95% CI 2.65-2.92 for not reimbursed drugs compared to fully reimbursed drugs).

CONCLUSIONS

A total of 11.5% of newly prescribed drugs were not dispensed. This can lead to overestimation of the actual drug exposure status when using written prescription databases.

Multidisciplinary ecosystem to study lifecourse determinants and prevention of early-onset burdensome multimorbidity (MELD-B) - protocol for a research collaboration

Background

Most people living with multiple long-term condition multimorbidity (MLTC-M) are under 65 (defined as 'early onset'). Earlier and greater accrual of long-term conditions (LTCs) may be influenced by the timing and nature of exposure to key risk factors, wider determinants or other LTCs at different life stages. We have established a research collaboration titled 'MELD-B' to understand how wider determinants, sentinel conditions (the first LTC in the lifecourse) and LTC accrual sequence affect risk of early-onset, burdensome MLTC-M, and to inform prevention interventions.

Aim

Our aim is to identify critical periods in the lifecourse for prevention of early-onset, burdensome MLTC-M, identified through the analysis of birth cohorts and electronic health records, including artificial intelligence (AI)-enhanced analyses.

Design

We will develop deeper understanding of 'burdensomeness' and 'complexity' through a qualitative evidence synthesis and a consensus study. Using safe data environments for analyses across large, representative routine healthcare datasets and birth cohorts, we will apply AI methods to identify early-onset, burdensome MLTC-M clusters and sentinel conditions, develop semi-supervised learning to match individuals across datasets, identify determinants of burdensome clusters, and model trajectories of LTC and burden accrual. We will characterise early-life (under 18 years) risk factors for early-onset, burdensome MLTC-M and sentinel conditions. Finally, using AI and causal inference modelling, we will model potential 'preventable moments', defined as time periods in the life course where there is an opportunity for intervention on risk factors and early determinants to prevent the development of MLTC-M. Patient and public involvement is integrated throughout.

Self-Efficacy as Moderator and Mediator Between Medication Beliefs and Adherence in Elderly Patients with Type 2 Diabetes

PURPOSE

Poor antidiabetic medication adherence remains a great barrier to effective diabetes self-management among aging adults. This study investigates the mediation and moderation effects of self-efficacy on the relationship between medication beliefs and adherence in elderly patients with type 2 diabetes.

METHODS

This cross-sectional study evaluated a sample of 309 hospitalized elderly patients who completed the assessment of medication beliefs, self-efficacy for medication uses and medication adherence in a tertiary hospital in Shanghai, China. A bootstrapping sampling method and hierarchical moderator regression analysis were used to verify the hypothesis of mediation and moderation effects of self-efficacy on the relationship between medication beliefs and adherence.

RESULTS

Self-efficacy for medication use acted as a moderator (B=-0.063, t=-2.215, p=0.028) and partial mediator (CI_{total effect}=4.5-16.63, p=0.001; CI_indirect=1.524-5.323, p=0.014; CI_direct=2.151-11.817, p=0.001) on the relationship between general harm medication beliefs and medication adherence. Participants with lower general harm medication beliefs may develop higher self-efficacy, which, in turn, results in a higher level of medication adherence, and higher self-efficacy may attenuate the negative effect of high general harm medication beliefs on medication adherence.

CONCLUSION

Self-efficacy for medication use not only mediated the relationship between general harm beliefs about medication and medication adherence, but moderated it negatively. The findings of this study indicate an opportunity to improve the prognosis of elderly Chinese patients with type 2 diabetes through improved medication adherence by strengthening factors such as self-efficacy for appropriate medication use and general harm beliefs about medication.