Satisfaction with Telemedicine for Cancer Pain Management: A Model of Care and Cross-Sectional Patient Satisfaction Study

Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment

Background: While long-term opioid therapy is a widely utilized strategy for managing chronic pain, many patients have understandable questions and concerns regarding its safety, efficacy, and potential for dependency and addiction. Providing clear, accurate, and reliable information is essential for fostering patient understanding and acceptance. Generative artificial intelligence (AI) applications offer interesting avenues for delivering patient education in healthcare. This study evaluates the reliability, accuracy, and comprehensibility of ChatGPT's responses to common patient inquiries about opioid long-term therapy. Methods: An expert panel selected thirteen frequently asked questions regarding long-term opioid therapy based on the authors' clinical experience in managing chronic pain patients and a targeted review of patient education materials. Questions were prioritized based on prevalence in patient consultations, relevance to treatment decision-making, and the complexity of information typically required to address them comprehensively. We assessed comprehensibility by implementing the multimodal generative AI Copilot (Microsoft 365 Copilot Chat). Spanning three domains-pre-therapy, during therapy, and post-therapy-each question was submitted to GPT-4.0 with the prompt "If you were a physician, how would you answer a patient asking…". Ten pain physicians and two non-healthcare professionals independently assessed the responses using a Likert scale to rate reliability (1-6 points), accuracy (1-3 points), and comprehensibility (1-3 points). Results: Overall, ChatGPT's responses demonstrated high reliability (5.2 ± 0.6) and good comprehensibility (2.8 ± 0.2), with most answers meeting or exceeding predefined thresholds. Accuracy was moderate (2.7 ± 0.3), with lower performance on more technical topics like opioid tolerance and dependency management. Conclusions: While AI applications exhibit significant potential as a supplementary tool for patient education on opioid long-term therapy, limitations in addressing highly technical or context-specific queries underscore the need for ongoing refinement and domain-specific training. Integrating AI systems into clinical practice should involve collaboration between healthcare professionals and AI developers to ensure safe, personalized, and up-to-date patient education in chronic pain management.

Chronic Pain in Italy: Turning Numbers Into Actionable Solutions

Chronic pain (CP) is a condition that looms over the global social and health scenarios. After many years without having national data, an extensive overview of this disorder in Italy has been published in the first Rapporto Censis Grünenthal (Censis Grünenthal Pain Report). It confirms that 19.8% of the Italian adult population suffers from moderate or severe CP, and the vast majority of patients (86.2%) are not aware of the existence of pain management (PM) centers. Starting with the Rapporto Censis Grünenthal data analysis by the representatives of three Italian pain scientific societies, several unmet needs were highlighted for which affordable, innovative, and technological strategies were proposed. These solutions focused on interventions in three strategic areas: (1) information, education, and awareness about CP among patients and physicians; (2) organization of pain center networks to adequately cover the national territory, promoting a multimodal-interdisciplinary approach; and (3) use of currently available novel technologies to foster access to treatment. For this purpose, the authors suggested feasible solutions, such as promoting public educational campaigns to raise awareness of the existence of pain centers and the right to receive a proper PM, as indicated in Italy by the pioneering law 38/2010. Regarding organizational gaps, the authors highlighted the possibility of drawing on international models to improve pain centers with completely dedicated staff and community-based pain services while supporting the development of specialized procedural PM standards. Concerning technologies, investments in telehealth and digital tools would improve access to therapies throughout the territory, enabling efficient clinical assessment and helping deliver the most suitable treatments. Overall, greater awareness of the impact of CP and a better allocation of resources are needed to improve patient quality of life, thereby reducing costs for the healthcare system.

Hydromorphone reduced the incidence of emergence agitation after adenotonsillectomy in children with obstructive sleep apnea: A randomized, double-blind study

Purpose

Emergence agitation (EA) after (adeno)tonsillectomy (AT) surgery impairs recovery in children. Adequate analgesia plays a crucial role in reducing EA incidence. This study investigated whether hydromorphone infusion (30 μg/kg) during anesthesia induction could reduce EA following AT surgery for obstructive sleep apnea in children.

Patients and methods

A total of 186 ASA I-III children aged 3-7 years undergoing AT surgery were enrolled in a blinded randomized trial comparing hydromorphone (30 μg/kg) to fentanyl (4 μg/kg). The primary outcome was EA incidence within 30 min post-extubation. Secondary outcomes included pediatric anesthesia emergence delirium (PAED), face, legs, activity, crying, consolability (FLACC), Ramsay sedation scores, extubation time, rescue analgesia incidence, and adverse events.

Results

The incidence of EA was significantly lower in the hydromorphone group [48.4% (45/93) vs 64.5% (60/93); absolute difference: 16.1%; 95% CI: 18.9-29.5%; P = 0.027]. Hydromorphone improved PAED, FLACC, and Ramsay scores and reduced moderate-to-severe pain and rescue analgesia. No postoperative complications occurred in either group.

Conclusion

Hydromorphone at 30 μg/kg effectively reduces the incidence of EA within 30 min post-extubation in children after AT surgery compared to fentanyl. It shows superior analgesia and has a low incidence of adverse effects.

Patient Preferences for Direct-to-Consumer Telemedicine Services: Replication and Extension of a Nationwide Survey

Background

A 2017 survey of patient perspectives showed overall willingness and comfort to use telemedicine, but low actual use. Given recent growth and widespread exposure of patients to telemedicine, patient preferences are likely to have changed.

Objective

This study aimed to (1) identify demographic trends in patient preferences and experiences; (2) measure ease of use and satisfaction of telemedicine; and (3) measure changes in telemedicine use, willingness, and comfort since 2017.

Methods

We replicated a 2017 study with a nationwide survey of US adults. The survey, an extended version of the previous study, measured patient health care access as well as knowledge, experiences, and preferences regarding telemedicine encounters. We recruited participants using SurveyMonkey Audience in July 2022. We used descriptive statistics and generalized estimating equations to measure change and identify trends.

Results

We accrued 4577 complete responses. Patient experience with telemedicine was substantially higher in 2022 than in 2017, with 61.1% (vs 5.3%) of participants aware that their primary care provider offered telemedicine and 34.5% (vs 3.5%) reporting use of telemedicine with their primary care provider. This study also reported ease of use and satisfaction rates to be similar to in-person visits, while overall willingness and comfort in using telemedicine increased from 2017. Individuals at the poverty line were significantly less likely to report satisfaction with telemedicine visits. We found increased interpersonal distance in a patient and health care professional relationship significantly reduced patient ease of use, willingness, and comfort in using telemedicine.

Conclusions

This study identified an association between income and patient satisfaction, conveying the importance of understanding telemedicine in relation to health care access and equity. Telemedicine ease of use and satisfaction were comparable to in-person visits. Individuals reported greater use and higher positive perceptions of telemedicine willingness and comfort since 2017.

Perceptions and Expectations of Patients with Lung Cancer and Melanoma about the Telenursing Approach: A Phenomenological Study

BACKGROUND

Telenursing could improve continuity of care in patients with cancer. This study aims to explore the expectations and perceptions of patients with lung cancer and melanoma toward telenursing.

METHODS

A descriptive qualitative study using a phenomenological approach was conducted on a convenience sampling of twenty patients aged 18 years or over from a Cancer Center. With the consent of patients and the relevant Ethics Committee, in-depth open-ended face-to-face interviews were conducted until data saturation. The phenomenon's essence was achieved through themes emerging from the qualitative data analysis.

RESULTS

Patients' perceptions and expectations were related to areas explored by a general theme on the nurse-patient relationship's importance. Four themes and eleven sub-themes were focused on misconceptions about lack of use, patients' potential and fears, the home as a place of care, and the caring relationship. Fifteen patients perceived the internet as a chaotic "bubble".

CONCLUSIONS

Despite the lack of previous use, patients consider telenursing positively as "a bridge between home and care", especially in the advanced stages of the disease. They highlighted strengths and weaknesses of telenursing, such as having "someone for you", connection, fear of psychological addiction, loss of privacy, and lack of empathy. This study was not registered.

Opportunities and barriers for telemedicine in pain management: insights from a SIAARTI survey among Italian pain physicians

BACKGROUND

The integration of telemedicine in pain management represents a significant advancement in healthcare delivery, offering opportunities to enhance patient access to specialized care, improve satisfaction, and streamline chronic pain management. Despite its growing adoption, there remains a lack of comprehensive data on its utilization in pain therapy, necessitating a deeper understanding of physicians' perspectives, experiences, and challenges.

METHODS

A survey was conducted in Italy between January 2024 and May 2024. Specialist center members of the SIAARTI were sent an online questionnaire testing the state of the art of telemedicine for pain medicine.

RESULTS

One-hundred thirty-one centers across Italy reveal varied adoption rates, with 40% routinely using telemedicine. Regional disparities exist, with Northern Italy showing higher adoption rates. Barriers include the absence of protocols, resource constraints, and bureaucratic obstacles. Despite challenges, telemedicine has shown positive impacts on service delivery, with increased service volume reported. Technological capabilities, including image sharing and teleconsultation with specialists, indicate promising interdisciplinary potential.

CONCLUSIONS

The integration of advanced telemedicine software utilizing artificial intelligence holds promise for enhancing telemonitoring and alert systems, potentially leading to more proactive and personalized pain management strategies.

Healthcare Outcomes of Patients and Antecedents via Teleophthalmology in Eastern Taiwan during COVID-19

OBJECTIVE

The coronavirus disease 2019 (COVID-19) pandemic has caused significant transformations in healthcare. Many countries began the rapid development and adoption of telemedicine to avoid the spread of the pandemic and created an innovative model for healthcare delivery. This study identified the critical antecedents that affected the considered healthcare outcomes via teleophthalmology in Eastern Taiwan during the COVID-19 pandemic.

METHODS

This study's participants included residents of five towns in Taitung County who had experience with teleophthalmology. This study analyzed the structured questionnaires completed by the participants to validate the proposed research framework. Statistical methods were used to verify the research models, including descriptive statistical analysis, confirmatory factor analysis, and structural equation modeling. The date of this study was from 1 October 2020 to 31 July 2023.

RESULTS

The results of this study reveal that the average monthly use of teleophthalmology by individuals in rural areas increased annually. Females tended to utilize teleophthalmology services more than males. There were no significant differences across any of the constructs with respect to age or educational level. Additionally, the patients' awareness of healthcare accessibility via and the communication quality of teleophthalmology simultaneously affected teleophthalmology's adoption and service quality, which in turn jointly affected health outcomes. Both healthcare accessibility and communication quality were the antecedents of the healthcare outcomes. The health outcomes refer to the impact of teleophthalmology on the quality of the patients' health and well-being. Additionally, teleophthalmology's adoption and service quality acted as mediators.

CONCLUSIONS

This study's findings are expected to increase attention to the healthcare outcomes and antecedents of teleophthalmology to promote better telemedicine practices and services for rural residents.

Maladaptive personality traits are associated with burnout risk in Italian anesthesiologists and intensivists: a secondary analysis from a cross-sectional study

BACKGROUND

Burnout is a maladaptive response to chronic stress, particularly prevalent among clinicians. Anesthesiologists are at risk of burnout, but the role of maladaptive traits in their vulnerability to burnout remains understudied.

METHODS

A secondary analysis was performed on data from the Italian Association of Hospital Anesthesiologists, Pain Medicine Specialists, Critical Care, and Emergency (AAROI-EMAC) physicians. The survey included demographic data, burnout assessment using the Maslach Burnout Inventory (MBI) and subscales (emotional exhaustion, MBI-EE; depersonalization, MBI-DP; personal accomplishment, MBI-PA), and evaluation of personality disorders (PDs) based on DSM-IV (Diagnostic and Statistical Manual of Mental Disorders Fourth Edition) criteria using the assessment of DSM-IV PDs (ADP-IV). We investigated the aggregated scores of maladaptive personality traits as predictor variables of burnout. Subsequently, the components of personality traits were individually assessed.

RESULTS

Out of 310 respondents, 300 (96.77%) provided complete information. The maladaptive personality traits global score was associated with the MBI-EE and MBI-DP components. There was a significant negative correlation with the MBI-PA component. Significant positive correlations were found between the MBI-EE subscale and the paranoid (r = 0.42), borderline (r = 0.39), and dependent (r = 0.39) maladaptive personality traits. MBI-DP was significantly associated with the passive-aggressive (r = 0.35), borderline (r = 0.33), and avoidant (r = 0.32) traits. Moreover, MBI-PA was negatively associated with dependent (r =  - 0.26) and avoidant (r =  - 0.25) maladaptive personality features.

CONCLUSIONS

There is a significant association between different maladaptive personality traits and the risk of experiencing burnout among anesthesiologists. This underscores the importance of understanding and addressing personality traits in healthcare professionals to promote their well-being and prevent this serious emotional, mental, and physical exhaustion state.

Acceptance, Satisfaction, and Preference With Telemedicine During the COVID-19 Pandemic in 2021-2022: Survey Among Patients With Chronic Pain

BACKGROUND

The COVID-19 pandemic has forced many health care providers to make changes in their treatment, with telemedicine being expanded on a large scale. An earlier study investigated the acceptance of telephone calls but did not record satisfaction with treatment or patients' preferences. This warranted a follow-up study to investigate acceptance, satisfaction, and preferences regarding telemedicine, comprising of phone consultations, among health care recipients.

OBJECTIVE

The primary aim was to assess the acceptance and satisfaction of telemedicine during the subsequent months of 2021-2022, after the initial wave of the COVID-19 pandemic in Switzerland. Furthermore, we aimed to assess patients' preferences and whether these differed in patients who had already experienced telemedicine in the past, as well as correlations between acceptance and satisfaction, pain intensity, general condition, perception of telemedicine, and catastrophizing. Finally, we aimed to investigate whether more governmental restrictions were correlated with higher acceptance.

METHODS

An anonymous cross-sectional web-based survey was conducted between January 27, 2021, and February 4, 2022, enrolling patients undergoing outpatient pain therapy in a tertiary university clinic. We conducted a descriptive analysis of acceptance and satisfaction with telemedicine and investigated patients' preferences. Further, we conducted a descriptive and correlational analysis of the COVID-19 stringency index. Spearman correlation analysis and a chi-square test for categorical data were used with Cramer V statistic to assess effect sizes.

RESULTS

Our survey was completed by 60 patients. Telemedicine acceptance and satisfaction were high, with an average score of 7.6 (SD 3.3; on an 11-point Numeric Rating Scale from 0=not at all to 10=completely), and 8.8 (SD 1.8), respectively. Respondents generally preferred on-site consultations to telemedicine (n=35, 58% vs n=24, 40%). A subgroup analysis revealed that respondents who already had received phone consultation, showed a higher preference for telemedicine (n/N=21/42, 50% vs n/N=3/18, 17%; χ22 [N=60]=7.5, P=.02, Cramer V=0.354), as well as those who had been treated for more than 3 months (n/N=17/31, 55% vs n/N=7/29, 24%; χ22 [N=60]=6.5, P=.04, Cramer V=0.329). Acceptance of telemedicine showed a moderate positive correlation with satisfaction (rs{58}=0.41, P<.05), but there were no correlations between the COVID-19 stringency index and the other variables.

CONCLUSIONS

Despite high acceptance of and satisfaction with telemedicine, patients preferred on-site consultations. Preference for telemedicine was markedly higher in patients who had already received phone consultations or had been treated for longer than 3 months. This highlights the need to convey knowledge of eHealth services to patients and the value of building meaningful relationships with patients at the beginning of treatment. During the COVID-19 pandemic, the modality of patient care should be discussed individually.

Telehealth and Virtual Reality Technologies in Chronic Pain Management: A Narrative Review

PURPOSE OF REVIEW

This review provides medical practitioners with an overview of the present and emergent roles of telehealth and associated virtual reality (VR) applications in chronic pain (CP) management, particularly in the post-COVID-19 healthcare landscape.

RECENT FINDINGS

Accumulated evidence points to the efficacy of now well-established telehealth modalities, such as videoconferencing, short messaging service (SMS), and mobile health (mHealth) applications in complementing remote CP care. More recently, and although still in early phases of clinical implementation, a wide range of VR-based interventions have demonstrated potential for improving the asynchronous remote management of CP. Additionally, VR-associated technologies at the leading edge of science and engineering, such as VR-assisted biofeedback, haptic technology, high-definition three-dimensional (HD3D) conferencing, VR-enabled interactions in a Metaverse, and the use of wearable monitoring devices, herald a new era for remote, synchronous patient-physician interactions. These advancements hold the potential to facilitate remote physical examinations, personalized remote care, and innovative interventions such as ultra-realistic biofeedback. Despite the promise of VR-associated technologies, several limitations remain, including the paucity of robust long-term effectiveness data, heterogeneity of reported pain-related outcomes, challenges with scalability and insurance coverage, and demographic-specific barriers to patient acceptability. Future research efforts should be directed toward mitigating these limitations to facilitate the integration of telehealth-associated VR into the conventional management of CP. Despite ongoing barriers to widespread adoption, recent evidence suggests that VR-based interventions hold an increasing potential to complement and enhance the remote delivery of CP care.

Impact of telenurse-led intervention in clinical trials on health literacy, empowerment, and health outcomes in patients with solid tumours: a pilot quasi-experimental study

BACKGROUND

During the COVID-19 pandemic, decentralised clinical trials incorporated self-monitoring, self-reporting, and telenursing tools to address health literacy and health empowerment of patients enrolled in clinical trials. We aimed to determine the impact of an educational intervention using telenursing consultations on health literacy, health empowerment, and health-related quality of life in cancer patients enrolled in clinical trials by measuring the level of satisfaction with the care received and assessing the views of healthcare professionals concerning the advanced practice nurse (APN) role in oncology clinical trials.

METHODS

In this pilot analytical, descriptive, longitudinal, quasi-experimental, and pre-post test study, an educational intervention was conducted by 5 visits with an APN using synchronous teleconsultation in patients starting cancer treatment for the first time in a clinical trial (n = 60), and health professionals working with the APN (n = 31). A descriptive analysis of the samples and questionnaires were utilised along with statistical comparisons.

RESULTS

After the intervention, patients' health literacy (31.7%), health empowerment (18.3%), and health-related quality of life (33.3%) increased (p < 0.05), with a decrease and trend towards resolution of care needs (p < 0.05). Satisfaction with the quality and care received in terms of perceived convenience, transition, and continuity of care showed positive results in 64.9 ± 20.7, 77.6 ± 19.5, and 72.1 ± 20.4 of respondents, respectively. On the overall assessment of the APN role, healthcare professionals expressed a high level of agreement with the statements related to their work performance.

CONCLUSIONS

The data indicates that a clinical trial APN-led telenursing educational intervention results in an overall increase in health literacy, an improvement in health empowerment and health-related quality of life, and a decrease in care needs of oncology clinical trials patients. Patients stated that they received a high quality of care and health professionals indicated high levels of acceptance with APNs. Based on these results, we suggest that the APN role should gain more recognition in the Spanish healthcare system and their professional competencies should be aligned with those of other countries.

The development of evaluation scale of the patient satisfaction with telemedicine: a systematic review

BACKGROUND

Since the outbreak of the COVID-19 pandemic, telemedicine become more and more popular, patients attempt to use telemedicine to meet personal medical needs. Patient satisfaction is a key indicator of insight into the patient experience.

PURPOSE

This systematic review aims to explore the measurement factors of patient satisfaction with telemedicine and develop a more comprehensive and systematic scale of patient satisfaction with telemedicine.

METHODS

In February 2023, a literature search was conducted on the PubMed, EMBASE, and Web of Science, identifying measurement factors and tools of patient satisfaction with telemedicine. For inclusion, the studies had to have or make a questionnaire about patient satisfaction with telemedicine delivered through video/audio visits in English. The quality of the studies was evaluated according to the Critical Appraisal Tool for Analytical Cross-Sectional Studies of the Joanna Briggs Institute (JBI). The dimensions and items in each tool were also analyzed.

RESULTS

The initial search showed 14,020 studies. After eliminating duplicates and utilizing inclusion and exclusion criteria, 44 studies were included. This systematic review identified and integrated the measurement factors and develops a scale of patient satisfaction with telemedicine, which was divided into 9 dimensions and consists of 37 items.

CONCLUSION

Future measurement and evaluation of telemedicine will benefit from scale that was developed in this study, and it will more directly reflecting patient needs when patient satisfaction with telemedicine is evaluated.

Fentanyl in cancer pain management: avoiding hasty judgments and discerning its potential benefits

Cancer pain is an important challenge in treatment and requires a rapid onset of action for its control. In particular, breakthrough cancer pain (BTcP) should be adequately controlled with a stable dose of a short-acting oral opioid. Fentanyl is a synthetic, highly selective opioid with many advantageous chemical properties, including high lipophilicity and distinct pharmacokinetic properties. It is recommended for pain management in a variety of settings, including acute pain, chronic pain and BTcP. To date, its variously designed formulations allow non-invasive administration; amongst others, sublingual fentanyl has proven useful in the management of BTcP and in improving the quality of life of patients with cancer. This review provides an update on the management of BTcP with fentanyl, with consideration of safety, as it remains an important tool in the treatment of cancer pain.

Current practices, gaps, and opportunities on the role of clinical pharmacists in cancer pain management: Perspectives from Nepal

N/A.

Exploring Biosignals for Quantitative Pain Assessment in Cancer Patients: A Proof of Concept

Perception and expression of pain in cancer patients are influenced by distress levels, tumor type and progression, and the underlying pathophysiology of pain. Relying on traditional pain assessment tools can present limitations due to the highly subjective and multifaceted nature of the symptoms. In this scenario, objective pain assessment is an open research challenge. This work introduces a framework for automatic pain assessment. The proposed method is based on a wearable biosignal platform to extract quantitative indicators of the patient pain experience, evaluated through a self-assessment report. Two preliminary case studies focused on the simultaneous acquisition of electrocardiography (ECG), electrodermal activity (EDA), and accelerometer signals are illustrated and discussed. The results demonstrate the feasibility of the approach, highlighting the potential of EDA in capturing skin conductance responses (SCR) related to pain events in chronic cancer pain. A weak correlation (R = 0.2) is found between SCR parameters and the standard deviation of the interbeat interval series (SDRR), selected as the Heart Rate Variability index. A statistically significant (p < 0.001) increase in both EDA signal and SDRR is detected in movement with respect to rest conditions (assessed by means of the accelerometer signals) in the case of motion-associated cancer pain, thus reflecting the relationship between motor dynamics, which trigger painful responses, and the subsequent activation of the autonomous nervous system. With the objective of integrating parameters obtained from biosignals to establish pain signatures within different clinical scenarios, the proposed framework proves to be a promising research approach to define pain signatures in different clinical contexts.

Utilizing an artificial intelligence framework (conditional generative adversarial network) to enhance telemedicine strategies for cancer pain management

BACKGROUND

The utilization of artificial intelligence (AI) in healthcare has significant potential to revolutionize the delivery of medical services, particularly in the field of telemedicine. In this article, we investigate the capabilities of a specific deep learning model, a generative adversarial network (GAN), and explore its potential for enhancing the telemedicine approach to cancer pain management.

MATERIALS AND METHODS

We implemented a structured dataset comprising demographic and clinical variables from 226 patients and 489 telemedicine visits for cancer pain management. The deep learning model, specifically a conditional GAN, was employed to generate synthetic samples that closely resemble real individuals in terms of their characteristics. Subsequently, four machine learning (ML) algorithms were used to assess the variables associated with a higher number of remote visits.

RESULTS

The generated dataset exhibits a distribution comparable to the reference dataset for all considered variables, including age, number of visits, tumor type, performance status, characteristics of metastasis, opioid dosage, and type of pain. Among the algorithms tested, random forest demonstrated the highest performance in predicting a higher number of remote visits, achieving an accuracy of 0.8 on the test data. The simulations based on ML indicated that individuals who are younger than 45 years old, and those experiencing breakthrough cancer pain, may require an increased number of telemedicine-based clinical evaluations.

CONCLUSION

As the advancement of healthcare processes relies on scientific evidence, AI techniques such as GANs can play a vital role in bridging knowledge gaps and accelerating the integration of telemedicine into clinical practice. Nonetheless, it is crucial to carefully address the limitations of these approaches.

Telemedicine, E-Health, and Multi-Agent Systems for Chronic Pain Management

Telemedicine, telehealth, and E-health all offer significant benefits for pain management and healthcare services by fostering the physician-patient relationship in otherwise challenging circumstances. A critical component of these artificial-intelligence-based health systems is the "agent-based system", which is rapidly evolving as a means of resolving complicated or straightforward problems. Multi-Agent Systems (MAS) are well-established modeling and problem-solving modalities that model and solve real-world problems. MAS's core concept is to foster communication and cooperation among agents, which are broadly considered intelligent autonomous factors, to address diverse challenges. MAS are used in various telecommunications applications, including the internet, robotics, healthcare, and medicine. Furthermore, MAS and information technology are utilized to enhance patient-centered palliative care. While telemedicine, E-health, and MAS all play critical roles in managing chronic pain, the published research on their use in treating chronic pain is currently limited. This paper discusses why telemedicine, E-health, and MAS are the most critical novel technologies for providing healthcare and managing chronic pain. This review also provides context for identifying the advantages and disadvantages of each application's features, which may serve as a useful tool for researchers.

The efficacy of telemedicine for pain management in patients with cancer: a systematic review and meta-analysis

Background

Pain is the most common cancer-related symptom, but it is often undertreated. Telemedicine is widely used in cancer treatment, but its effectiveness is uncertain.

Objective

We aimed to evaluate the impact of telemedicine intervention on pain in patients with cancer.

Design

Methodological quality and risk-of-bias evaluation were conducted, and the sources of heterogeneity were explored through subgroup analysis and sensitivity analysis.

Data Sources and Methods

PubMed, Embase, Web of Science, Cochrane Library, and clinical trial databases were searched up to 16 August 2022. Randomized controlled trials of the impact of telemedicine intervention regarding pain in patients with cancer were included, and the results related to pain were extracted.

Results

Twenty-one randomized controlled trials were selected from 1810 articles. A total of 1454 patients received telemedicine interventions, and 2213 received conventional medical services. Telemedical intervention had a positive effect on improving pain intensity [standard mean deviation (SMD) = -0.28, 95% confidence interval (CI): -0.49 to -0.06, p = 0.01] and pain interference (SMD = -0.41, 95% CI: -0.54 to -0.28, p < 0.00001), with statistical difference between the two groups. The subgroup analysis results showed that the telemedicine subgroup based on an application (SMD = -0.54, 95% CI: -0.91 to -0.18, p = 0.004) and the subgroup with intervention time ⩾ 6 months (SMD = -0.33, 95% CI: -0.52 to -0.13, p = 0.001), both demonstrated significant improvement regarding pain intensity, with significant statistical difference between the two groups. When the follow-up time was ⩾ 6 months, there was no significant difference (SMD = -0.24, 95% CI: -0.55 to 0.07, p = 0.13).

Conclusion

Compared with conventional medical services, telemedicine intervention can improve the pain of patients with cancer and is effective and acceptable regarding symptom monitoring. Integrating telemedicine interventions into cancer pain management may be a feasible option. But its long-term effects still need to be confirmed with more high-quality randomized controlled trials in the future.

Registration

https://www.crd.york.ac.uk/PROSPERO/; CRD42022361990.

Implementation of a Hybrid Care Model for Telemedicine-based Cancer Pain Management at the Cancer Center of Naples, Italy: A Cohort Study

BACKGROUND/AIM

Telemedicine, the remote delivery of healthcare services, represents a great opportunity for cancer pain management. A care model of telemedicine that combines remote visits and hospital access could be an effective and safe strategy for pain management of cancer patients.

PATIENTS AND METHODS

A retrospective study was conducted using the dataset of the telemedicine program at the Istituto Nazionale Tumori of Naples, Italy for assessing the efficacy of a telehealth-based model of care. Demographic, clinical, and process variables were investigated.

RESULTS

A total of 226 cases and 489 visits were included in the analysis. The mean age of patients was 63.4 years (SD=12.4 years), and no sex differences were observed. Approximately 55% of patients were ECOG-PS ≤2 and 87% suffered from metastatic disease. More than half of the patients were treated with high doses of opioids. Each patient had a mean of 2 remote visits and half of the patients had more than 1 telehealth consultation. The dropout ratio was 5.3%. Most visits (n=472) were conducted on patients in the Campania Region, Italy. The maximum covered distance from the Cancer Center and the patients' location was 555.22 Km. A significant difference in the overall number of visits (p=0.006) and the number of pro-capita remote visits (p=0.010) was found, in favor of the group of patients treated before the end of the Covid-19 emergency in Italy, compared to those treated after the pandemic.

CONCLUSION

Despite various positive outcomes, the analysis highlights several weaknesses, such as the need to assist patients with advanced and non-advanced disease located outside the regional territory. Overall, the telehealth processes should be adapted to post-pandemic scenarios towards their implementation in routine clinical practice.

Multidisciplinary approach, continuous care and opioid management in cancer pain: case series and review of the literature

Underlying cancer pain has heterogenous aetiologies and mechanisms. It requires detailed and comprehensive pain assessment, combined with personalized treatment. A multidisciplinary team is essential to providing the best management of cancer pain at every disease stage, improving the quality of life and outcomes in patients with cancer. This narrative literature review emphasizes the value of providing all patients with multidisciplinary pain management in their preferred care setting. Real-life experiences are also reported to witness the efforts of physicians to properly manage cancer pain. This article is part of the Management of breakthrough cancer pain Special Issue: https://www.drugsincontext.com/special_issues/management-of-breakthrough-cancer-pain.

High-rate breakthrough cancer pain and tumour characteristics - literature review and case series

Cancer pain requires careful comprehensive patient evaluation and an appropriate and personalized clinical approach by a trained multidisciplinary team. The proper assessment of breakthrough cancer pain (BTcP) is part of an all-inclusive multidimensional evaluation of the patient. The aim of this narrative review is to explore the relationship between high-rate BTcP, which strongly impacts health- related quality of life and tumour characteristics, in the face of novel approaches that should provide guidance for future clinical practice. The presentation of short, emblematic clinical reports also promotes knowledge of BTcP, which, despite the availability of numerous therapeutic approaches, remains underdiagnosed and undertreated. This article is part of the Management of breakthrough cancer pain Special Issue: https://www.drugsincontext.com/special_issues/management-of-breakthrough-cancer-pain.

Using machine learning to explore the determinants of service satisfaction with online healthcare platforms during the COVID-19 pandemic

This study investigates the determinants of service satisfaction with online healthcare platforms using machine learning (ML) algorithms. By training and testing eleven ML models based on data mined from a leading online healthcare platform in China, we obtained the best-performing ML algorithm for service satisfaction prediction, namely, Light Gradient Boosting Machine. Furthermore, our empirical results indicate that gifts, patient votes, popularity, fee-based consultation volume, gender, and thank-you letters positively impact service satisfaction, while the impacts of consultation volume, free consultation volume, views, waiting time, articles, physician title, and hospital level are negative. We discuss the theoretical and managerial implications.

Relationship between breakthrough cancer pain, background cancer pain and analgesic treatment - case series and review of the literature

The assessment and treatment of breakthrough cancer pain (BTcP) remain a major challenge in medicine due to its high impact on several aspects of health-related quality of life. BTcP should be carefully monitored in all cancer care settings by a multidisciplinary team to provide an appropriate and personalized clinical approach. The aim of this paper is to provide healthcare professionals involved in cancer pain management with a review of the relevant literature on the relationship between background cancer pain and BTcP which, by definition, occurs despite adequately controlled background cancer pain. The clinical cases presented contribute to a better understanding of this issue and underline its impact in daily clinical practice. This article is part of the Management of breakthrough cancer pain Special Issue: https://www.drugsincontext.com/special_issues/management-of-breakthrough-cancer-pain.

Teleoncology: A Solution for Everyone? A Single-Center Experience with Telemedicine during the Coronavirus Disease 2019 (COVID-19) Pandemic

Since the beginning of the COVID-19 pandemic, the use of telehealth was rapidly implemented without previous evidence. The ONCOTELEMD study aimed to evaluate the opinion of patients attended via telemedicine during this period and to study factors that condition patient preferences on its use. Included patients had a confirmed cancer diagnosis and were contacted by telephone between 13 March and 30 April 2020, in the Medical Oncology Service of Hospital Parc Taulí, Sabadell. A 12-question survey was presented to them between 4 February and 19 April 2021. Statistical analysis was carried out using chi-square and multivariable logistic regression tests. Six hundred forty-six patients were included; 487 responded to the survey. The median age was 68 years (27-90), 55.2% were female. Most patients had a surveillance visit (65.3%) and were diagnosed with colorectal or breast cancer (43% and 26.5%, respectively); 91.8% of patients were satisfied, and 60% would accept the use of telemedicine beyond the pandemic. Patients aged more than 50 years (OR 0.40; 95% CI, 0.19-0.81; p = 0.01) and diagnosed with breast cancer (OR 0.45; 95% CI, 0.26-0.69; p < 0.001) were less predisposed to adopt telehealth in the future. Patients agreed to be informed via telehealth of scan or lab results (62% and 84%, respectively) but not of new oral or endovenous treatments (52% and 33.5%, respectively). Additionally, 75% of patients had a medium or low-null technologic ability, and 51.3% would only use the telephone or video call to contact health professionals. However, differences were found according to age groups (p < 0.0001). In total, patients surveyed were satisfied with telemedicine and believed telehealth could have a role following the COVID-19 pandemic. Moreover, our results remark on the importance of individualizing the use of telehealth, showing relevant data on patient preferences and digital literacy.

Editorial for the Special Issue: "Advances in Postoperative Pain Management and Chronic Postoperative Pain"

Acute and chronic pain are two completely distinct universes [...].

Bayesian Network Analysis for Prediction of Unplanned Hospital Readmissions of Cancer Patients with Breakthrough Cancer Pain and Complex Care Needs

BACKGROUND

Unplanned hospital readmissions (HRAs) are very common in cancer patients. These events can potentially impair the patients' health-related quality of life and increase cancer care costs. In this study, data-driven prediction models were developed for identifying patients at a higher risk for HRA.

METHODS

A large dataset on cancer pain and additional data from clinical registries were used for conducting a Bayesian network analysis. A cohort of gastrointestinal cancer patients was selected. Logical and clinical relationships were a priori established to define and associate the considered variables including cancer type, body mass index (BMI), bone metastasis, serum albumin, nutritional support, breakthrough cancer pain (BTcP), and radiotherapy.

RESULTS

The best model (Bayesian Information Criterion) demonstrated that, in the investigated setting, unplanned HRAs are directly related to nutritional support (p = 0.05) and radiotherapy. On the contrary, BTcP did not significantly affect HRAs. Nevertheless, the correlation between variables showed that when BMI ≥ 25 kg/m2, the spontaneous BTcP is more predictive for HRAs.

CONCLUSIONS

Whilst not without limitations, a Bayesian model, combined with a careful selection of clinical variables, can represent a valid strategy for predicting unexpected HRA events in cancer patients. These findings could be useful for calibrating care interventions and implementing processes of resource allocation.

Different Machine Learning Approaches for Implementing Telehealth-Based Cancer Pain Management Strategies

Background: The most effective strategy for managing cancer pain remotely should be better defined. There is a need to identify those patients who require increased attention and calibrated follow-up programs. Methods: Machine learning (ML) models were developed using the data prospectively obtained from a single-center program of telemedicine-based cancer pain management. These models included random forest (RF), gradient boosting machine (GBM), artificial neural network (ANN), and the LASSO−RIDGE algorithm. Thirteen demographic, social, clinical, and therapeutic variables were adopted to define the conditions that can affect the number of teleconsultations. After ML validation, the risk analysis for more than one remote consultation was assessed in target individuals. Results: The data from 158 patients were collected. In the training set, the accuracy was about 95% and 98% for ANN and RF, respectively. Nevertheless, the best accuracy on the test set was obtained with RF (70%). The ML-based simulations showed that young age (<55 years), lung cancer, and occurrence of breakthrough cancer pain help to predict the number of remote consultations. Elderly patients (>75 years) with bone metastases may require more telemedicine-based clinical evaluations. Conclusion: ML-based analyses may enable clinicians to identify the best model for predicting the need for more remote consultations. It could be useful for calibrating care interventions and resource allocation.