Association between adherence to oral therapies in cancer patients and clinical outcome: A systematic review of the literature

Attributes for a discrete-choice experiment on preferences of patients for oncology pharmacy consultations

PURPOSE

To ensure the safe use of oral anticancer drugs, oncology pharmacy consultations (OPCs) have been established in France. They are conditioned by the needs, expectations, and involvement of the patients in their care. Thus, it is essential to elicit their preferences. The discrete-choice experiment (DCE) is a method recommended by the ISPOR for such a task. The "selection and validation of attributes and their values" step is fundamental in this process. In this context, the aim of this study was to present our research approach to identify and validate the attributes that characterize an OPC and their values.

METHODS

Due to the lack of relevant published data in the literature, the focus-group method was used in accordance with good research practices for the application of conjoint-analysis of the ISPOR. The two-round Delphi method was used to validate the attributes and their values identified by the focus-group method.

RESULTS

The focus-group method enabled identification of nine attributes. Thirty-seven healthcare professionals at a national level, including 30 pharmacists and seven physicians, were selected to take part in the Delphi procedure. Seven attributes (frequency, planification, operation mode, duration, content, written support, and report) and their values were thus validated.

CONCLUSION

Based on these results, the next step will be to elicit patient preferences for OPCs and to then shed light on the issues of pharmaceutical support for patients by comparing their preferences with those of informal caregivers and, in particular, those of the healthcare professionals involved in their care.

Adverse Event Signal Detection Using Patients' Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models

BACKGROUND

Early detection of adverse events and their management are crucial to improving anticancer treatment outcomes, and listening to patients' subjective opinions (patients' voices) can make a major contribution to improving safety management. Recent progress in deep learning technologies has enabled various new approaches for the evaluation of safety-related events based on patient-generated text data, but few studies have focused on the improvement of real-time safety monitoring for individual patients. In addition, no study has yet been performed to validate deep learning models for screening patients' narratives for clinically important adverse event signals that require medical intervention. In our previous work, novel deep learning models have been developed to detect adverse event signals for hand-foot syndrome or adverse events limiting patients' daily lives from the authored narratives of patients with cancer, aiming ultimately to use them as safety monitoring support tools for individual patients.

OBJECTIVE

This study was designed to evaluate whether our deep learning models can screen clinically important adverse event signals that require intervention by health care professionals. The applicability of our deep learning models to data on patients' concerns at pharmacies was also assessed.

METHODS

Pharmaceutical care records at community pharmacies were used for the evaluation of our deep learning models. The records followed the SOAP format, consisting of subjective (S), objective (O), assessment (A), and plan (P) columns. Because of the unique combination of patients' concerns in the S column and the professional records of the pharmacists, this was considered a suitable data for the present purpose. Our deep learning models were applied to the S records of patients with cancer, and the extracted adverse event signals were assessed in relation to medical actions and prescribed drugs.

RESULTS

From 30,784 S records of 2479 patients with at least 1 prescription of anticancer drugs, our deep learning models extracted true adverse event signals with more than 80% accuracy for both hand-foot syndrome (n=152, 91%) and adverse events limiting patients' daily lives (n=157, 80.1%). The deep learning models were also able to screen adverse event signals that require medical intervention by health care providers. The extracted adverse event signals could reflect the side effects of anticancer drugs used by the patients based on analysis of prescribed anticancer drugs. "Pain or numbness" (n=57, 36.3%), "fever" (n=46, 29.3%), and "nausea" (n=40, 25.5%) were common symptoms out of the true adverse event signals identified by the model for adverse events limiting patients' daily lives.

CONCLUSIONS

Our deep learning models were able to screen clinically important adverse event signals that require intervention for symptoms. It was also confirmed that these deep learning models could be applied to patients' subjective information recorded in pharmaceutical care records accumulated during pharmacists' daily work.

Association between adherence with oral anticancer medications and short-term health care resource utilization: A 2010-2018 claims-based analysis

BACKGROUND

There is limited evidence on the effect of adherence to oral anticancer medications on health care resource utilization (HRU) among patients with cancer.

OBJECTIVE

To determine the association between adherence to oral anticancer medication and subsequent HRU.

METHODS

A retrospective cohort study was conducted using Optum Clinformatics® Data Mart commercial claims database. Patients who initiated an oral anticancer medication between 2010 and 2017 were included. Proportion of days covered was used to calculate medication adherence in the first 6 months after oral anticancer medication initiation. All-cause HRU in the following 6 months was assessed. Multivariable negative binomial regressions were used to determine the association between oral anticancer medication adherence and HRU, after controlling for confounders.

RESULTS

Of 37,938 patients, 51.9% were adherent to oral anticancer medications. Adherence with oral anticancer medication was significantly associated with more frequent physician office and outpatient visits for several cancer types with the strongest association among those with liver cancer (adjusted incidence rate ratio [aIRR] = 1.34; 95% CI = 1.18-1.52 and aIRR = 1.32; 95% CI = 1.13-1.55, respectively). Oral anticancer medication adherence was associated with more emergency department visits only among patients with lung cancer (aIRR = 1.22; 95% CI = 1.01-1.48). Oral anticancer medication adherence was significantly associated with a higher rate of inpatient hospitalizations and longer stays among patients with liver cancer (aIRRs were 1.45 [95% CI = 1.02-2.05] and 2.15 [95% CI = 1.21-3.81], respectively), whereas hospitalizations were fewer and length of stay was shorter among patients with colorectal cancer who were adherent with oral anticancer medication (aIRRs were 0.77 [95% CI = 0.68-0.86] and 0.77 [95% CI = -0.66 to 0.90], respectively). Other measures did not reveal statistically significant differences in HRU among adherent and nonadherent patients for the cancer types included in the study.

CONCLUSIONS

HRU following the initial phase of oral anticancer medication therapy was generally similar among adherent and nonadherent patients. We observed a slightly higher rate of office and outpatient visits among adherent patients, which may reflect ongoing monitoring among patients continuing oral anticancer medication. Further studies are needed to determine how oral anticancer medication adherence may affect HRU over a longer time period.

Digging in real-word electronic database for assessing CDK 4/6 inhibitors adherence in breast cancer patients from Romania

Introduction: It is imperative for patients to respect the prescribed treatments to achieve the anticipated clinical outcomes, including the outpatients receiving oral anti-cancer drugs such as selective cyclin-dependent kinase 4/6 inhibitors (CDK 4/6i). With the introduction of three CDK 4/6i drugs in the Romanian pharmaceutical market in 2018, our study aimed to evaluate medication adherence and the influencing factors among patients undergoing treatment with palbociclib, ribociclib, or abemaciclib for advanced or metastatic breast cancer. Methods: Medication adherence was assessed using the Proportion of Days Covered (PDC) method, and Spearman correlation analysis was conducted to explore the relationships between adherence, age, gender, and follow-up duration. Results: The study enrolled 330 breast cancer patients, with an average follow-up period of 14.6 ± 12.5 months for palbociclib, 10.6 ± 7.1 months for ribociclib, and 8.6 ± 6.4 months for abemaciclib-treated patients. A small proportion of patients demonstrated non-adherence: 12.8% for palbociclib, 14.6% for ribociclib, and 14.7% for abemaciclib. Among patients receiving palbociclib, there was no significant correlation between adherence, age (rho = 0.07, p = 0.35), or gender (rho = -0.144, p = 0.054). However, a significant correlation was found with the duration of follow-up (rho = -0.304, p < 0.0001). Similar results were observed for patients receiving ribociclib or abemaciclib. Most patients received combination therapy with letrozole (46%) and exemestane (13%) for palbociclib, letrozole (48%) and fulvestrant (19%) for ribociclib, and fulvestrant (39%) and letrozole (27%) for abemaciclib, Discussion: High adherence rates were observed among patients treated with CDK 4/6i drugs, with no significant differences noted among the three drugs in this class. However, the collected patient data was limited, lacking information on adverse reactions that could potentially lead to treatment discontinuation, as determined by the oncologist's decision not to prescribe. Consequently, a comprehensive understanding of all factors contributing to the low adherence levels is hindered.

Exploring adherence in patients with advanced breast cancer: focus on CDK4/6 inhibitors

Treatment adherence is crucial for optimal outcomes in advanced breast cancer, but can be challenging due to various factors, i.e. patients' attitudes and behavior upon diagnosis, and complex therapies with high adverse effect rates. Our aim was to explore the adherence to oral anticancer medications (OAM) in women with advanced breast cancer, focusing on cyclin-dependent kinase 4 and 6 inhibitors (CDKI), and identify factors associated with the adherence. We conducted a cross-sectional study at the University Hospital Centre Zagreb, Croatia, involving women with stage IV advanced breast cancer receiving OAM. Data collection included a questionnaire assessing socio-demographic and clinical information, Beck Depression Inventory-II for depressive symptoms, Medication Adherence Report Scale (MARS-5) for adherence to OAM, and Beliefs about Medicines Questionnaire. Plasma concentrations of CDKI were confirmed by LC-MS/MS in three randomly selected participants. A total of 89 women were included. The most prescribed OAMs were anti-estrogen (71.3 %) and CDKI (60.9 %). MARS-5 scores (mean: 24.1 ± 1.6) correlated with CDKI plasma concentrations. Forgetfulness was the primary reason for non-adherence (25.9 %). Women receiving CDKI (p = 0.018), without depressive symptomatology (p = 0.043), and with more positive beliefs about medicines were more adherent (p < 0.05). This study enhances understanding of medication adherence in advanced breast cancer and identifies influential factors.

Adherence to the CDK 4/6 Inhibitor Palbociclib and Omission of Dose Management Supported by Pharmacometric Modelling as Part of the OpTAT Study

The cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) palbociclib is administered orally and cyclically, causing medication adherence challenges. We evaluated components of adherence to palbociclib, its relationship with pharmacokinetics (PK), and drug-induced neutropenia. Patients with metastatic breast cancer (MBC) receiving palbociclib, delivered in electronic monitors (EM), were randomized 1:1 to an intervention and a control group. The intervention was a 12-month interprofessional medication adherence program (IMAP) along with monthly motivational interviews by a pharmacist. Implementation adherence was compared between groups using generalized estimating equation models, in which covariates were included. Model-based palbociclib PK and neutrophil profiles were simulated under real-life implementation scenarios: (1) optimal, (2) 2 doses omitted and caught up at cycle end. At 6 months, implementation was slightly higher and more stable in the intervention (n = 19) than in the control (n = 19) group, 99.2% and 97.3% (Δ1.95%, 95% CI 1.1−2.9%), respectively. The impact of the intervention was larger in patients diagnosed with MBC for >2 years (Δ3.6%, 95% CI 2.1−5.4%), patients who received >4 cycles before inclusion (Δ3.1%, 95% CI 1.7−4.8%) and patients >65 (Δ2.3%, 95% CI 0.8−3.6%). Simulations showed that 25% of patients had neutropenia grade ≥3 during the next cycle in scenario 1 versus 30% in scenario 2. Education and monitoring of patient CDK4/6i cycle management and adherence along with therapeutic drug monitoring can help clinicians improve prescription and decrease toxicity.

Self-care behaviors in patients with cancer treated with oral anticancer agents: a systematic review

PURPOSE OF REVIEW

Continuous progress in cancer care has led to its increased use in oral anticancer agents that are easily managed by patients at home with fewer costs and hospitalizations. However, correct self-care behaviors are needed for the safe use of these medications. This review aimed to synthesize studies on self-care behaviors in patients treated with oral anticancer agents.

METHODS

This systematic review used a convergent qualitative synthesis design for mixed studies. Studies on adult patients with cancer using any kind of oral anticancer agent and describing self-care maintenance, self-care monitoring, and/or self-care management behaviors were searched on PubMed, EMBASE, and CINAHL. After data extraction, the findings were retained for qualitative synthesis.

FINDINGS

Of 3419 records, 19 studies were included in this review. From the qualitative synthesis, all the retrieved behaviors were synthesized in the three self-care dimensions. Five themes and 18 subthemes were identified. Self-care maintenance included "adherence to the medications" and "prevention." Self-care monitoring consisted of "health surveillance and recognition of illness changes." Self-care management included "seeking help" and "autonomous management of side effects." Overall, most of the behaviors described focused only on adherence.

CONCLUSION

The findings of this systematic review could guide future studies on self-care and drive future interventions aimed at improving self-care in this vulnerable population. Nurses and other healthcare professionals should provide self-care support to patients taking oral anticancer agents. In particular, they should promote behaviors aimed at improving well-being, preserving health, or managing side effects.