Cognition and Sociodemographic Determinants for Effective Pain Control in Patients with Cancer Pain: a Cross-sectional Survey in China

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.

Sociodemographic and Clinical Characteristics Associated With Worst Pain Intensity Among Cancer Patients

AIMS

Patients with cancer have pain due to their cancer, the cancer treatment and other causes, and the pain intensity varies considerably between individuals. Additional research is needed to understand the factors associated with worst pain intensity. Our study aim was to determine the association between worst pain intensity and sociodemographics and cancerspecific factors among patients with cancer.

DESIGN

A total of 1,280 patients with cancer recruited from multiple cancer centers over 25 years in the United States were asked to complete a questionnaire that collected respondents' demographic, chronic pain, and cancer-specific information.

SETTINGS

Worst, least, and current pain intensities were captured using a modified McGill Pain Questionnaire (pain intensity measured on 0-10 scale). A generalized linear regression analysis was utilized to assess the associations between significant bivariate predictors and worst pain intensity scores.Our study sample was non-Hispanic White (64.5%), non-Hispanic Black (28.3%), and Hispanic (7.2%). On average, participants were 59.4 (standard deviation = 14.4) years old. The average worst pain intensity score was 6.6 (standard deviation = 2.50). After controlling for selected covariates, being Hispanic (β = 0.6859), previous toothache pain (β = 0.0960), headache pain (β = 0.0549), and stomachache pain (β = 0.0577) were positively associated with worse cancer pain. Notably, year of enrollment was not statistically associated with pain.

CONCLUSIONS

Our study sample was non-Hispanic White (64.5%), non-Hispanic Black (28.3%), and Hispanic (7.2%). On average, participants were 59.4 (standard deviation = 14.4) years old. The average worst pain intensity score was 6.6 (standard deviation = 2.50). After controlling for selected covariates, being Hispanic (β = 0.6859), previous toothache pain (β = 0.0960), headache pain (β = 0.0549), and stomachache pain (β = 0.0577) were positively associated with worse cancer pain. Notably, year of enrollment was not statistically associated with pain. Findings identified being Hispanic and having previous severe toothache, stomachache, and headache pain as significant predictors of worst pain intensity among patients with cancer. After controlling for selected covariates, we did not note statistical differences in worst pain during a 25-year period. Therefore,studies focused on improving the management of pain among patients with cancer should target interventions for those with Hispanic heritage and those with past history of severe common pain.

Knowledge, attitudes, and practices toward cancer pain management amongst healthcare workers (physicians, pharmacists, and nurses): a cross-sectional study from first-tier cities in China

PURPOSE

China is currently one of the countries with the largest increased number of new cancer cases in the world, but cancer pain management (CPM) is still inadequate. This study uses a questionnaire to demonstrate the status and differences in knowledge, attitude and practice (KAP) of CPM among healthcare workers (HCWs) in developed regions of China, to find deficiencies and priorities for improvement, from which areas and advantages of the role of pharmacists and mobile devices can be explored.

METHODS

This study used data from a questionnaire on CPM from March to June 2019. The study population consisted of a total of 515 HCWs in four first-tier developed cities in China. The questionnaire has four major components, analysis of differences in KAP of different occupations through one-way analysis of variance (ANOVA).

RESULTS

Among the respondents, the physicians had the highest knowledge scores toward CPM, pharmacists had the lowest practice scores. Around half of the respondents indicated that their hospital or department have a pharmacist participating in CPM. Physicians and nurses were more likely to expect pharmacists to provide drug counseling. The HCWs interviewed most expect that the mobile-based pain management system can automatically screen and mark patients with pain.

CONCLUSION

From this study, it can be suggested that pharmacists and nurses in the CPM team should actively promote relevant knowledge. Besides, pharmacists should focus on improving practical ability such as increasing the frequency of pain assessment. Multidisciplinary collaboration and the introduction of mobile devices can improve and refine the CPM.

Knowledge, Practices, and Perceived Barriers in Cancer Pain Management at Oncology Units: A Cross-Sectional Survey of Medical Staff in China

Background

Patients and Methods

Results

Conclusion

Prevalence and Severity of Pain in Cancer Patients in Germany

Pain is a common symptom in cancer patients, restricts daily life activities and reduces survival time. Identification of sociodemographic, medical and psychological correlates of pain among cancer patients in Germany could help identify subgroups most in need of pain management. In this multicenter, epidemiologic cross-sectional study, we assessed pain prevalence and severity, quality of life (QoL) and psychological distress in a sample of 3,745 cancer patients across all tumor entities. In total, 37.9% patients suffered from cancer-related pain and 56.1% suffered from non-specific pain. Younger, female, less educated and unemployed patients reported pain more frequently and more severe pain (p < 0.001). Pain was associated with distress, depression, anxiety, QoL, tumor stage (p < 0.001), and time since diagnosis (p = 0.012). Pain assessment and pain management should be a routine part of cancer treatment and cancer survivorship care plans.

Cancer pain management and the roles of pharmacists in China

Pain management impacts cancer treatment and patients' quality of life. This commentary describes the current state of cancer pain management in China. Areas of focus include creating the Good Pain Management model wards at hospitals and exploring pharmacy pain management clinics for community-dwelling cancer patients.