Reasons for medication non-initiation: A qualitative exploration of the patients’ perspective

Medication nonadherence - definition, measurement, prevalence, and causes: reflecting on the past 20 years and looking forwards

In 2003, Sabate's World Health Organisation report defined medication nonadherence as a phenomenon where individuals' behaviour does not correspond to prescribed treatment recommendations from their healthcare provider. This concept of nonadherence evolved beyond a categorisation of patients as adherent or nonadherent. Rather, nonadherence varies within the same individual and treatment over time, and between treatments and individuals. The type and patterns of nonadherence are key determinants of outcome with individuals with the same percentage nonadherence having different outcomes depending on their pattern of nonadherence. Often the poorest clinical outcomes occur in individuals who do not initiate medication or discontinue early, but much of the nonadherence literature remains focused on implementation. This paper provides a nuanced discussion of nonadherence which has been enabled in part by the growing availability of technologies such as electronic nonadherence monitors, new biomarkers for adherence and greater access to 'big data' (e.g., on prescription refills). These allow granular assessment of nonadherence that can be linked with biophysical markers captured using technologies such as wearables. More validated self-report measures have also become available to profile nonadherence in research and practice. Together, in-depth data on dosing and clinical measures provide an opportunity to explore complex interactions between medications, therapeutic effects and clinical outcomes. This variation in measurement and definition means that there is a more fine-grained understanding of the prevalence of nonadherence and a greater recognition of the prevalence of nonadherence, with growing evidence suggesting that approximately a fifth of patients do not initiate treatment, of those initiating treatment approximately 30%-50% of patients do not implement their treatment as prescribed and that, over long follow-up periods in some conditions 80%-100% of patients discontinue. There is potential too to better understand causes of nonadherence. New behavioural models synthesise determinants of nonadherence previously considered separately. Frameworks like the COM-B (considering individual capability, opportunity, and motivation factors) and MACO (focusing on Medication Adherence Contexts and Outcomes) emphasize the multifaceted nature of nonadherence determinants. Greater focus on dynamic processes with interplay between individual, social, and environmental influences is needed. Addressing these complexities could lead to more effective and personalised support for patients.

Impact of Second-Line Combination Treatment for Type 2 Diabetes Mellitus on Disease Control: A Population-Based Cohort Study

BACKGROUND

Type 2 diabetes mellitus is a chronic disease affecting millions of people worldwide. Achieving and maintaining glycemic control is essential to prevent or delay complications and different strategies are available as second-line treatment options for patients with type 2 diabetes who do not achieve glycemic control with metformin monotherapy.

OBJECTIVE

The aim of this work is to describe the impact of initiating a combination treatment to reduce glycated hemoglobin in patients with type 2 diabetes with insufficient glycemic control.

METHODS

We included patients with a type 2 diabetes diagnosis between 2015 and 2020 at the Information System for Research in Primary Care (SIDIAP) database in Catalonia, Spain. The primary outcome was the time to glycated hemoglobin control (≤ 7%) during the first 720 days, expressed as the restricted mean survival time. Adjusted differences of the restricted mean survival time were compared to analyze the performance of each treatment versus the combination with a sulfonylurea. Adherence was calculated as the medication possession ratio using an algorithm to model treatment exposure.

RESULTS

A total of 28,425 patients were analyzed. The most frequent combinations were those with sulfonylureas and dipeptidyl peptidase-4 inhibitors. All treatments reduced glycated hemoglobin and the restricted mean survival time for the sulfonylurea treatment was 455 (451-459) days although combinations with glucagon-like peptide-1 and insulin reached glycemic control earlier, - 126 days (- 152 to - 100, p < 0.001) and - 69 days (- 88 to - 50, p < 0.001), respectively. Adherence was high in all groups apart from the insulin combination and had a significant effect in reducing glycated hemoglobin except in sodium-glucose cotransporter type 2 inhibitors and insulin. Glucagon-like peptide-1 and sodium-glucose cotransporter type 2 inhibitors showed significant reductions in weight.

CONCLUSIONS

Patients achieved the glycated hemoglobin goal with second-line treatments. Glucagon-like peptide-1 and insulin combinations achieved the goal earlier than sulfonylurea combinations. Adherence significantly reduced the time to glycated hemoglobin control except for the combination with sodium-glucose cotransporter type 2 inhibitors.

Examining the Impact of Polygenic Risk Information in Primary Care

BACKGROUND

Polygenic risk testing examines variation across multiple genes to estimate a risk score for a particular disease, including risk scores for many common, chronic health conditions. Although polygenic risk information (PRI) may be a promising tool for enhancing preventive counseling and facilitating early identification of disease, its potential impact on primary-care encounters and disease prevention efforts has not been well characterized.

METHODS

We conducted in-depth, semi-structured interviews of patients to assess their understandings of PRI and their beliefs about its relevance to disease prevention.

RESULTS

We completed interviews with 19 participants. Participants described enthusiasm for the generation of PRI and recognized its utility for disease prevention. Participants also described the value of PRI as limited if not corroborated by non-genetic risk factors. Finally, participants noted that PRI, by itself, would be insufficient as a trigger for initiating many preventive interventions.

CONCLUSION

PRI has the potential to become an important tool in primary care. However, patient views about PRI as well as the complexities of disease prevention in the primary care context may limit the impact of PRI on disease prevention.

Improving Initial Medication Adherence to cardiovascular disease and diabetes treatments in primary care: Pilot trial of a complex intervention

Introduction

The Initial Medication Adherence (IMA) intervention is a multidisciplinary and shared decision-making intervention to improve initial medication adherence addressed to patients in need of new treatments for cardiovascular diseases and diabetes in primary care (PC). This pilot study aims to evaluate the feasibility and acceptability of the IMA intervention and the feasibility of a cluster-RCT to assess the effectiveness and cost-effectiveness of the intervention.

Methods

A 3-month pilot trial with an embedded process evaluation was conducted in five PC centers in Catalonia (Spain). Electronic health data were descriptively analyzed to test the availability and quality of records of the trial outcomes (initiation, implementation, clinical parameters and use of services). Recruitment and retention rates of professionals were analyzed. Twenty-nine semi-structured interviews with professionals (general practitioners, nurses, and community pharmacists) and patients were conducted to assess the feasibility and acceptability of the intervention. Three discussion groups with a total of fifteen patients were performed to review and redesign the intervention decision aids. Qualitative data were thematically analyzed.

Results

A total of 901 new treatments were prescribed to 604 patients. The proportion of missing data in the electronic health records was up to 30% for use of services and around 70% for clinical parameters 5 months before and after a new prescription. Primary and secondary outcomes were within plausible ranges and outliers were barely detected. The IMA intervention and its implementation strategy were considered feasible and acceptable by pilot-study participants. Low recruitment and retention rates, understanding of shared decision-making by professionals, and format and content of decision aids were the main barriers to the feasibility of the IMA intervention.

Discussion

Involving patients in the decision-making process is crucial to achieving better clinical outcomes. The IMA intervention is feasible and showed good acceptability among professionals and patients. However, we identified barriers and facilitators to implementing the intervention and adapting it to a context affected by the COVID-19 pandemic that should be considered before launching a cluster-RCT. This pilot study identified opportunities for refining the intervention and improving the design of the definitive cluster-RCT to evaluate its effectiveness and cost-effectiveness.

Clinical trial registration

ClinicalTrials.gov, identifier NCT05094986.

Complex multidisciplinary intervention to improve Initial Medication Adherence to cardiovascular disease and diabetes treatments in primary care (the IMA-cRCT study): mixed-methods process evaluation protocol

INTRODUCTION

Medication non-initiation, or primary non-adherence, is a persistent public health problem that increases the risk of adverse clinical outcomes. The initial medication adherence (IMA) intervention is a complex multidisciplinary intervention to improve adherence to cardiovascular and diabetes treatments in primary care by empowering the patient and promoting informed prescriptions based on shared decision-making. This paper presents the development and implementation strategy of the IMA intervention and the process evaluation protocol embedded in a cluster randomised controlled trial (the IMA-cRCT) to understand and interpret the outcomes of the trial and comprehend the extent of implementation and fidelity, the active mechanisms of the IMA intervention and in what context the intervention is implemented and works.

METHODS AND ANALYSIS

We present the protocol for a mixed-methods process evaluation including quantitative and qualitative methods to measure implementation and fidelity and to explore the active mechanisms and the interactions between the intervention, participants and its context. The process evaluation will be conducted in primary care centres and community pharmacies from the IMA-cRCT, and participants include healthcare professionals (general practitioners, nurses and community pharmacists) as well as patients. Quantitative data collection methods include data extraction from the intervention operative records, patient clinical records and participant feedback questionnaires, whereas qualitative data collection involves semistructured interviews, focus groups and field diaries. Quantitative and qualitative data will be analysed separately and triangulated to produce deeper insights and robust results.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the Research Ethics Comittee (CEIm) at IDIAP Jordi Gol (codeCEIm 21/051 P). Findings will be disseminated through publications and conferences, as well as presentations to healthcare professionals and stakeholders from healthcare organisations.

TRIAL REGISTRATION NUMBER

NCT05026775.

Effectiveness and cost-effectiveness of an intervention to improve Initial Medication Adherence to treatments for cardiovascular diseases and diabetes in primary care: study protocol for a pragmatic cluster randomised controlled trial and economic model (the IMA-cRCT study)

BACKGROUND

Between 2 and 43% of patients who receive a new prescription in PC do not initiate their treatments. Non-initiation is associated with poorer clinical outcomes, more sick leave and higher costs to the healthcare system. Existing evidence suggests that shared decision-making positively impacts medication initiation. The IMA-cRCT assesses the effectiveness of the IMA intervention in improving adherence and clinical parameters compared to usual care in patients with a new treatment for cardiovascular disease and diabetes prescribed in PC, and its cost-effectiveness, through a cRCT and economic modelling.

METHODS

The IMA intervention is a shared decision-making intervention based on the Theoretical Model of Non-initiation. A cRCT will be conducted in 24 PC teams in Catalonia (Spain), randomly assigned to the intervention group (1:1), and community pharmacies in the catchment areas of the intervention PC teams. Healthcare professionals in the intervention group will apply the intervention to all patients who receive a new prescription for cardiovascular disease or diabetes treatment (no other prescription from the same pharmacological group in the previous 6 months). All the study variables will be collected from real-world databases for the 12 months before and after receiving a new prescription. Effectiveness analyses will assess impact on initiation, secondary adherence, cardiovascular risk, clinical parameters and cardiovascular events. Cost-effectiveness analyses will be conducted as part of the cRCT from a healthcare and societal perspective in terms of extra cost per cardiovascular risk reduction and improved adherence; all analyses will be clustered. Economic models will be built to assess the long-term cost-effectiveness of the IMA intervention, in terms of extra cost for gains in QALY and life expectancy, using clinical trial data and data from previous studies.

DISCUSSION

The IMA-cRCT represents an innovative approach to the design and evaluation of behavioural interventions that use the principles of complex interventions, pragmatic trials and implementation research. This study will provide evidence on the IMA intervention and on a new methodology for developing and evaluating complex interventions. The results of the study will be disseminated among stakeholders to facilitate its transferability to clinical practice.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT05026775 . Registered 30th August 2021.

Patients' Views on the Design of DiabeText, a New mHealth Intervention to Improve Adherence to Oral Antidiabetes Medication in Spain: A Qualitative Study

BACKGROUND

Type 2 Diabetes Mellitus (T2DM) is a long-term condition affecting around 10% of people worldwide. This study aimed to explore T2DM patients' views on DiabeText, a new text messaging intervention to be developed to support adherence to diabetes medication.

METHODS

A total of four focus groups were conducted with a purposive sample of people with T2DM (n = 34). The data were analysed by multiple researchers independently, and coded using thematic analysis.

RESULTS

There were two main themes that emerged: (1) "patients' perspectives on unmet needs for diabetes self-management", and (2) "acceptability and perceived utility of DiabeText". The patients identified a number of barriers for diabetes self-management, including lack of appropriate information and support with diet and physical activity. Support for medication-taking was not perceived as urgently needed, although several barriers were identified (eating outside, traveling, polymedication, dispensation at the pharmacy). The participants anticipated that the proposed intervention would present high levels of patient acceptability and perceived utility as long as its content addresses the barriers that were identified, and includes specific features (short and clear messages, and personalized information).

CONCLUSION

The proposed intervention has the potential to be well accepted and perceived as useful by T2DM patients who require support not only in terms of medication-taking, but more prominently of lifestyle behaviour.

Pediatric Medication Noninitiation in Spain

OBJECTIVES

To estimate medication noninitiation prevalence in the pediatric population and identify the explanatory factors underlying this behavior.

METHODS

Observational study of patients (<18 years old) receiving at least 1 new prescription (28 pharmaceutical subgroups; July 2017 to June 2018) in Catalonia, Spain. A prescription was considered new when there was no prescription for the same pharmaceutical subgroup in the previous 6 months. Noninitiation occurred when a prescription was not filled within 1 month or 6 months (sensitivity analysis). Prevalence was estimated as the proportion of total prescriptions not initiated. To identify explanatory factors, a multivariable multilevel logistic regression model was used, and adjusted odds ratios were reported.

RESULTS

Overall, 1 539 003 new prescriptions were issued to 715 895 children. The overall prevalence of 1-month noninitiation was 9.0% (ranging from 2.6% [oral antibiotics] to 21.5% [proton pump inhibitors]), and the prevalence of 6-month noninitiation was 8.5%. Noninitiation was higher in the youngest and oldest population groups, in children from families with a 0% copayment rate (vulnerable populations) and those with conditions from external causes. Out-of-pocket costs of drugs increased the odds of noninitiation. The odds of noninitiation were lower when the prescription was issued by a pediatrician (compared with a primary or secondary care clinician).

CONCLUSIONS

The prevalence of noninitiation of medical treatments in pediatrics is high and varies according to patients' ages and medical groups. Results suggest that there are inequities in access to pharmacologic treatments in this population that must be taken into account by health care planners and providers.

Non-initiation of prescribed medication from a Spanish health professionals' perspective: A qualitative exploration based on Grounded Theory

We explore, from the perspective of primary care health professionals, the motivations that lead patients to not initiate prescribed treatments, by developing a qualitative study in Spanish primary care. Six focus groups (N = 46) were conducted with general practitioners, nurse practitioners, social workers and community pharmacists and carried out in primary care (PC) of Barcelona Province, from April to July of 2018. The 46 participants were identified by three general practitioners and two pharmacists. In the interviews, the reasons for non-initiation of PC patients' medication were explored. Triangulated content analysis was performed. Patients' perspective, analysed in a previous study, and professionals' perspective agree on most of the factors that affect non-initiation. New factors were categorized into existent categories, confirming, and supplementing the model developed with patients. Health professionals identified some new factors which were not present in the patients' discourse, such as stigma related to the drug, hidden reasons for consultation, the role of nurses in prescription and support, the role of the pharmacy technician, illiteracy and lack of social support. The professionals confirm and expand on the Theoretical Model of Medication Non-Initiation. Primary care professionals should consider the factors described when prescribing a new medication. Knowledge contributed by the model should guide the design of interventions to improve initiation.

Swallowing the pill of adverse effects: A qualitative study of patients' and pharmacists' experiences and decision-making regarding the adverse effects of chronic pain medications

Introduction

Pharmacological treatments of chronic pain can lead to numerous and sometimes serious adverse effects. Drawing on a social science approach to chronic illness, this study aimed to understand the experiences of people living with chronic pain and community pharmacists regarding the definition, prevention and management of analgesic adverse effects.

Methods

This qualitative study proceeded through 12 online focus groups (FGs) with people living with chronic pain (n = 26) and community pharmacists (n = 19), conducted between July 2020 and February 2021 in the province of Quebec, Canada. The semistructured discussion guides covered participants' definitions of adverse effects and decision‐making regarding their prevention and management. Discussions were audio‐recorded, transcribed verbatim and analysed using grounded theory.

Results

Both people with chronic pain and pharmacists provided varying definitions of analgesic adverse effects depending on patients' social and clinical characteristics. Present quality of life and serious long‐term risks related to treatment were described as key dimensions influencing adverse effect appraisal. Dilemmas and discrepancies occurred between patients and pharmacists when choosing to prioritize pain relief or adverse effect prevention. Some patients lacked information about their medications and wanted to be more involved in decisions, while many pharmacists were concerned by patients' self‐management of adverse effects. Preventing opioid‐related overdoses often led pharmacists to policing practices. Despite most pharmacists wishing they could have a key role in the management of pain and adverse effects face organizational and financial barriers.

Conclusion

Defining, preventing and managing adverse effects in the treatment of chronic pain requires a person‐centred approach and shared decision‐making. Clinical training improvements and healthcare organization changes are needed to support pharmacists in providing patients with community‐based follow‐up and reliable information about the adverse effects of chronic pain treatments.

Patient or Public Contribution

A person with lived experience of chronic pain was involved as a coinvestigator in the study. He contributed to shaping the study design and objectives, including major methodological decisions such as the choice of pharmacists as the most appropriate professionals to investigate. In addition, 26 individuals with chronic pain shared their experiences extensively during the FGs.

Who Suffers From Pharmaceutical Poverty and What Are Their Needs? Evidence From a Spanish Region

Background: Pharmaceutical poverty occurs when a patient cannot afford the cost of prescribed medication and/or medical products. Nonprofit organizations are covering the cost of medication to those patients in some contexts. The aim of the study was to describe the population of beneficiaries of the PB, a nongovernmental organization based on the primary healthcare system, which provides free-of-charge access to medicines and their utilization pattern of medicines and healthcare products. Methods: This was an observational study using PB beneficiary data collected between November 2017 and December 2018 in Catalonia. The Catalan Health Service provided information from the general population. A descriptive analysis of the beneficiaries' characteristics was conducted and compared to the general population. Results: The beneficiaries (N = 1,206) were mainly adults with a low level of education, unemployed, with functional disability, and with ≥1 child. Compared with the general population, the beneficiaries were older, had a lower level of education, showed a higher prevalence of functional disability, were less likely to be Spanish, and were more likely to be divorced and unemployed. The beneficiaries were polymedicated, and most were using medication related to the nervous (79%), musculoskeletal (68%), and cardiovascular system (56%) and alimentary tract and metabolism (68%). Almost 19% of beneficiaries used healthcare products. Female beneficiaries were older and more likely to be divorced or widowed, employed, and with children. Compared to men, women were more likely to use medicines for pain and mental disorders. The pediatric group used medications for severe, chronic conditions (heart diseases, autoimmune diseases, conduct disorders, and attention deficit hyperactivity disorder). Conclusion: Patients with severe, chronic, and disabling conditions are affected by pharmaceutical poverty. While the system of copayment remains unchanged, family physicians and pediatricians should explore economic barriers to treatment and direct their patients to resources that help to cover the cost of treatment.

Use of path modeling to inform a clinical decision support application to encourage osteoporosis medication use

BACKGROUND

Osteoporosis medication use is suboptimal. Simple interventions personalized to a patients' stage of readiness are needed to encourage osteoporosis medication use.

OBJECTIVES

To estimate interrelationships of sociodemographic factors, perceived fracture risk, health literacy, receipt of medication information, medication trust and readiness to use osteoporosis medication; and apply observed relationships to inform design specifications for a clinical decision support application that can be used for personalized patient counseling.

METHODS

Data from a national sample of older women (n = 1759) with self-reported history of fractures and no current use of osteoporosis medication treatment were used to estimate an acceptable path model that describes associations among key sociodemographic characteristics, health literacy, perceived fracture risk, receipt of osteoporosis medication information within the past year, trust in osteoporosis medications, and readiness to use osteoporosis medication. Path model results were used to inform an application for personalized patient counseling that can be easily integrated into clinical decision support systems.

RESULTS

Increased age (β = 0.13), trust for medications (β = 0.12), higher perceived fracture risk (β = 0.21), and having received medication information within the past year (β = 0.21) were all positively associated with readiness to use osteoporosis medication (p < 0.0001). Whereas, health literacy (β = -0.09) was inversely associated with readiness to use osteoporosis medication (p < 0.0001). Using these results, a brief 6-item question set was constructed for simple integration into clinical decision support applications. Patient responses were used to inform a provider dashboard that integrates a patient's stage of readiness for osteoporosis medication use, predictors of readiness, and personalized counseling points appropriate to their stage of readiness.

CONCLUSION

Content of counseling strategies must be aligned with a patient's stage of readiness to use treatment. Path modeling can be effectively used to identify factors for inclusion in an evidenced-based clinical decision support application designed to assist providers with personalized patient counseling and osteoporosis medication use decisions.

Initiation and Single Dispensing in Cardiovascular and Insulin Medications: Prevalence and Explanatory Factors

BACKGROUND

Adherence problems have negative effects on health, but there is little information on the magnitude of non-initiation and single dispensing.

OBJECTIVE

The aim of this study was to estimate the prevalence of non-initiation and single dispensation and identify associated predictive factors for the main treatments prescribed in Primary Care (PC) for cardiovascular disease (CVD) and diabetes.

METHODS

Cohort study with real-world data. Patients who received a first prescription (2013-2014) for insulins, platelet aggregation inhibitors, angiotensin-converting enzyme inhibitors (ACEI) or statins in Catalan PC were included. The prevalence of non-initiation and single dispensation was calculated. Factors that explained these behaviours were explored.

RESULTS

At three months, between 5.7% (ACEI) and 9.1% (antiplatelets) of patients did not initiate their treatment and between 10.6% (statins) and 18.4% (ACEI) filled a single prescription. Body mass index, previous CVD, place of origin and having a substitute prescriber, among others, influenced the risk of non-initiation and single dispensation.

CONCLUSIONS

The prevalence of non-initiation and single dispensation of CVD medications and insulin prescribed in PC in is high. Patient and health-system factors, such as place of origin and type of prescriber, should be taken into consideration when prescribing new medications for CVD and diabetes.