Relationship Between Adherence to Opioid Analgesics and Pain Beliefs Among Patients with Cancer Pain at Tertiary Care Hospitals in Malaysia

Psychosocial Outcomes of Pain and Pain Management in Adults with Osteogenesis Imperfecta: A Qualitative Study

Osteogenesis imperfecta (OI) is a genetic disorder characterized by bone fragility and fractures, short stature, dental abnormalities, hearing loss, scoliosis, and chronic pain. Despite a growing literature on the functional outcomes of OI, limited research has explicitly examined the psychosocial outcomes of pain within OI. Adults with OI (N = 15) were interviewed to understand pain-related experiences through a thematic analysis of semi-structured interview data. Research team members, genetic research experts, and OI clinicians developed an interview guide focused on topics related to pain and mental health challenges. Participants' transcripts were coded by two independent coders; codes were then merged across coders and quotation outputs were subsequently abstracted (paraphrased then thematically classified) to identify common themes. Themes related to pain management variability regarding pain type, pain risk management and accessibility, pain outcomes (e.g., behavior, cognitive, affective), and pain exacerbating factors (e.g., individual, contextual) were identified. Participants reported chronic and acute pain, and despite the inaccessibility and stigmatization of pain medications (e.g., opioids), pharmacological treatments were the most common pain management approach. Participants reported negative pain outcomes, such as limited daily functioning and activity participation, fear, anger, anxiety, depression, and difficulty concentrating. Lastly, participants suggested that lack of physician and community knowledge on chronic pain in OI indirectly exacerbates both subjective pain intensity and outcomes. Although limited by a small, nondiverse sample, the current study provides valuable exploration of the unique pain experiences of adults with OI that may have implications for proactive management, treatment development, and clinician training.

Investigating the risk factors for nonadherence to analgesic medications in cancer patients: Establishing a nomogram model

Objective

The substantial prevalence of nonadherence to analgesic medication among individuals diagnosed with cancer imposes a significant strain on both patients and healthcare resources. The objective of this study is to develop and authenticate a nomogram model for assessing nonadherence to analgesic medication in cancer patients.

Methods

Clinical information, demographic data, and medication adherence records of cancer pain patients were gathered from the Affiliated Hospital of Chengde Medical University between April 2020 and March 2023. The risk factors associated with analgesic medication nonadherence in cancer patients were analyzed using the least absolute selection operator (LASSO) regression model and multivariate logistic regression. Additionally, a nomogram model was developed. The bootstrap method was employed to internally verify the model. Discrimination and accuracy of the nomogram model were evaluated using the Concordance index (C-index), area under the receiver Operating characteristic (ROC) curve (AUC), and calibration curve. The potential clinical value of the nomogram model was established through decision curve analysis (DCA) and clinical impact curve.

Results

The study included a total of 450 patients, with a nonadherence rate of 43.33%. The model incorporated seven factors: age, address, smoking history, number of comorbidities, use of nonsteroidal antiinflammatory drugs (NSAIDs), use of opioids, and PHQ-8. The C-index of the model was found to be 0.93 (95% CI: 0.907-0.953), and the ROC curve demonstrated an AUC of 0.929. Furthermore, the DCA and clinical impact curves indicate that the built model can accurately predict cancer pain patients' medication adherence performance.

Conclusions

A nomogram model based on 7 risk factors has been successfully developed and validated for long-term analgesic management of cancer patients.

Adherence to Analgesic Drugs and its Associated Factors among Patients with Cancer Pain: A Crosssectional Study in China

Objectives: Pain is one of the most common and distressing symptoms co-occurring with cancer progression and treatment, and medication adherence plays an important role in achieving good pain control. However, research on medication adherence and influential factors among individuals with cancer pain (CP) is limited in China. The present study aimed to investigate the adherence to analgesics in patients with CP in China and to identify factors that may influence adherence. Methods: A cross-sectional study was conducted from June 2020 to February 2021. Study instruments consisted of a set of validated questionnaires, 5 measurement instruments including the numerical rating scale (NRS), ID-Pain, Morisky Medication Adherence Scale-Chinese validated version (MMAS-C), Beliefs about Medicines Questionnaire (BMQ) - Specific, and the Hospital Anxiety and Depression Scale (HADS). Results: A total of 141 participants with CP including 71 males (50.4%), aged 54.5±15.5 years were surveyed in this study. Overall, 83 patients (58.9%) showed adherence, but 58 patients (41.1%) showed non-adherence to analgesics. The univariate analysis showed that analgesic adherence was associated with pain duration of>3 months, outbreaks of pain in the last 24 hours, presence of side effects, getting analgesics in time, presence of neuropathic pain, stopping analgesics or adjusting dosage by themselves, presence of anxiety and depression, and beliefs about medicines. Moreover, the multivariate logistic regression showed that getting analgesic drugs in time (odds ratio [OR]=5.218, 95% confidence interval [CI] 1.691-16.100) and high BMQ-Necessity (OR=1.907, 95% CI 1.418-2.565) were associated with high adherence, stopping analgesics or adjusting dosage by themselves (OR=7.958, 95% CI 2.443-25.926) and high BMQ-Concern (OR=0.760, 95% CI 0.600-0.964) were more likely to be associated with non-adherence. Conclusion: In view of our findings, it may be critical for individuals to have a better understanding and strong beliefs about their prescribed analgesic drugs. Pain education, counseling and follow-up of patients and their caregivers, and removal of barriers to accessing analgesic drugs could be considered in further intervention strategies.

Endogenous opiates and behavior: 2020

This paper is the forty-third consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2020 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

Opioid Prescribing and Use Among Cancer Survivors: A Mapping Review of Observational and Intervention Studies

CONTEXT

Recent years show a sharp increase in research on opioid use among cancer survivors, but evidence syntheses are lacking, leaving knowledge gaps. Corresponding research needs are unclear.

OBJECTIVES

To provide an evidence synthesis.

METHODS

We searched PubMed and Embase, identifying articles related to cancer, and opioid prescribing/use published through September 2020. We screened resulting titles/abstracts. Relevant studies underwent full-text review. Inclusion criteria were quantitative examination of and primary focus on opioid prescribing or use, and explicit inclusion of cancer survivors. Exclusion criteria included end-of-life opioid use and opioid use as a secondary or downstream outcome (for intervention studies). We extracted information on the opioid-related outcome(s) examined (including definitions and terminology used), study design, and methods.

RESULTS

Research returned 16,591 articles; 296 were included. Only 22 of 296 studies evaluated an intervention. There were 105 studies evaluating outcomes indicative of potentially high-risk, nonrecommended, or avoidable opioid use, e.g., continuous use-described as chronic use, prolonged use, and persistent use (n = 17); use after completion of curative-intent treatment-described as chronic opioid use, long-term opioid use, persistent opioid use, prolonged opioid use, continued opioid use, late opioid use, post-treatment opioid use (n = 27); use of opioids concurrent with other potentially high-risk medications (n = 13), and opioid misuse (n = 14).

CONCLUSIONS

We found lack of consistency in the measurement of and terms used to describe similar opioid use outcomes, and a lack of interventional research targeting well-documented patterns of potentially nonrecommended, potentially avoidable, or potentially high-risk opioid prescribing or use.

Pharmacist-Led Management Improves Treatment Adherence and Quality of Life in Opioid-Tolerant Patients With Cancer Pain: A Randomized Controlled Trial

Introduction

Opioid-tolerant patients are more likely to deviate from recommended treatments and to experience inadequate analgesia than opioid-naive ones. The aim of this study was to examine whether pharmacist-led management could help improve treatment adherence and quality of life.

Methods

Eligible patients were randomized in a 1:1 ratio to control group and intervention group. The control group received routine education and support, while the intervention group received additional individualized pharmacist-led care. The primary endpoint was treatment adherence in the per-protocol analysis, as evaluated by blinded assessors. An interim analysis was planned when 30% patients completed the study. Alpha was divided into the interim analysis (0.015) and the final analysis (0.035).

Results

In the interim analysis (97 and 87 patients in the control and intervention groups, respectively), the primary endpoint was met. Pharmacist-led intervention significantly increased treatment adherence (93.3 vs. 79.8%; OR: 2.25; 95% CI 1.02, 4.94; P = 0.013), quality of life (0.81 ± 0.17 vs. 0.72 ± 0.25; P = 0.008), and reporting of adverse events (82.7 vs. 61.9%; OR: 1.88; 95% CI 1.16, 3.07; P = 0.004). The two groups did not differ in pain control rate (66.7 vs. 57.1%; OR: 1.25; 95% CI 0.87, 1.78; P = 0.218), breakthrough pain-free rate (66.7 vs. 61.9%; OR: 1.12; 95% CI 0.78, 1.59; P = 0.532) and pain score (1.97 ± 1.04 vs. 2.15 ± 1.24; P = 0.522).

Conclusions

Pharmacist-led management improved treatment adherence, quality of life, and the reporting of adverse events in opioid-tolerant patients with cancer pain.

Trial Registration

ClinicalTrials.gov, NCT03455023.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40122-021-00342-0.