A Delphi Consensus Approach for the Management of Chronic Pain during and after the COVID-19 Era

Using the Behaviour Change Wheel and modified Delphi method to identify behavioural change techniques for improving adherence to smoking cessation medications

BACKGROUND

Medication adherence is a crucial component of the pharmacological treatment of smoking. Previous interventions targeted to improve adherence to smoking cessation medications (SCMs) were designed using pragmatic approaches. This study aims to develop a comprehensive intervention strategy to improve adherence to SCMs using the Behaviour Change Wheel (BCW) and a modified Delphi method.

METHODS

Recommendations for the design of intervention strategies were based on the BCW guide and six studies conducted by the research team. Factors related to healthcare providers and consumers (person making a quit attempt) that showed associations with adherence were mapped into the Capability, Opportunity, Motivation, Behaviour (COM-B) model, and corresponding intervention functions and policy categories. Interventions were then represented using the Behaviour Change Technique Taxonomy. Finally, a modified Delphi study using 17 experts was conducted to evaluate the nominated strategies using the Acceptability, Practicability, Effectiveness, Affordability, Side-effects, and Equity (APEASE) criteria.

RESULTS

Following a stepped approach, an adherence support wheel was designed to guide implementation strategies and programmes. Thirteen intervention strategies were selected. The selected interventions include providing detailed instructions on how to use SCMs; establishing realistic expectations from SCMs; and providing training for healthcare providers regarding comprehensive smoking cessation care with specifics on the provision of adherence support.

CONCLUSION

The BCW guide and a modified Delphi were applied successfully to design interventions tailored to improve adherence to SCMs. Improving adherence to SCMs requires a comprehensive intervention approach involving various stakeholders. Future research is needed to assess the effectiveness of the nominated intervention strategies.

Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives

Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assessment (APA). The goal is the development of objective, standardized, and generalizable instruments useful for pain assessment in different clinical contexts. The purpose of this article is to discuss the state of the art of research and perspectives on APA applications in both research and clinical scenarios. Principles of AI functioning will be addressed. For narrative purposes, AI-based methods are grouped into behavioral-based approaches and neurophysiology-based pain detection methods. Since pain is generally accompanied by spontaneous facial behaviors, several approaches for APA are based on image classification and feature extraction. Language features through natural language strategies, body postures, and respiratory-derived elements are other investigated behavioral-based approaches. Neurophysiology-based pain detection is obtained through electroencephalography, electromyography, electrodermal activity, and other biosignals. Recent approaches involve multimode strategies by combining behaviors with neurophysiological findings. Concerning methods, early studies were conducted by machine learning algorithms such as support vector machine, decision tree, and random forest classifiers. More recently, artificial neural networks such as convolutional and recurrent neural network algorithms are implemented, even in combination. Collaboration programs involving clinicians and computer scientists must be aimed at structuring and processing robust datasets that can be used in various settings, from acute to different chronic pain conditions. Finally, it is crucial to apply the concepts of explainability and ethics when examining AI applications for pain research and management.

Cancer Patients with Chronic Pain and Their Caregivers during COVID-19: A Descriptive Study

BACKGROUND

The sanitary measures imposed by COVID-19 intensified challenges in the pain management of cancer patients.

METHODS

A descriptive study was conducted in a chronic pain unit of an oncological hospital aiming to explore the experiences of cancer patients with chronic pain and their caregivers during the pandemic period, as well as identify strategies to improve care in chronic pain management. An electronic questionnaire was developed containing sociodemographic variables, the Depression, Anxiety and Stress Scale-21, and open-ended questions exploring the experiences and circumstances of pain management.

RESULTS

A total of 30 patients and 13 caregivers filled in the questionnaire. Patients revealed a higher level of depression, anxiety, and stress than caregivers, without statistically significant differences. Both groups mentioned having experienced difficulties in self-care, particularly in relation to sleep, nutrition, and recreation. In total, 83.7% patients needed pain relief medication related to uncontrolled pain. Both mentioned that they would have benefited from a digital application to ease the communication with the healthcare professionals of the chronic pain unit, as well as non-pharmacological interventions, such as therapeutic massage.

CONCLUSIONS

Recognizing that chronic pain leads to significant limitations, it is essential to implement and anticipate objective and effective responses in pain management.

Investigating Functional Impairment in Chronic Low Back Pain: A Qualitative Study from the Patients and Specialists' Perspectives

Prompt and appropriate treatment of chronic low back pain (cLBP) is of the utmost importance for preventing relevant disability, high burden of disease, and increasing costs for the healthcare system. Recently, the concept of functional impairment has been associated with any type of chronic pain, and mounting attention has been paid to extending the aims of treatment beyond mere pain remission, including restoration of working capacity, everyday functioning, mobility, and quality of life. Nevertheless, a shared definition of functionality is still lacking. Notably, different specialists involved in the treatment of cLBP such as general practitioners, orthopedists, pain therapists, and physiatrists, and patients themselves have different opinions on what "functional impairment" actually means. On these premises, a qualitative interview study was performed to investigate how the concept of "functionality" is interpreted by different specialists involved in the management of cLBP, and by patients. Overall, all different specialists agreed that functionality should be assessed in clinical practice. However, in spite of several instruments available for evaluating functionality, no homogeneity of behavior is observable.

"Working Together": Perspectives of Healthcare Professionals in Providing Virtual Care to Youth with Chronic Pain during the COVID-19 Pandemic

BACKGROUND

The onset of the coronavirus disease in 2019 necessitated a rapid transition to virtual care for chronic pain treatment.

METHODS

A mixed methods design was implemented using qualitative interviews and quantitative satisfaction surveys. Interviews were conducted in February 2021 with a sample of healthcare professionals (HCPs; n = 6) who had provided multidisciplinary treatment (MDT) through an outpatient hospital pediatric chronic pain program. Satisfaction surveys were distributed to all MDT professionals employed by the clinic in April 2021 (n = 13 of 20 eligible; 65% response rate). Participants represented medicine, rehabilitation, and mental health professionals.

RESULTS

Analysis of interviews generated five themes: (1) adaptation to virtual care, (2) benefits of virtual care, (3) limitations of virtual care, (4) shifting stance on virtual care over time, and (5) considerations for implementing virtual care. The satisfaction survey data revealed that respondents were able to effectively provide appropriate diagnoses, recommendations, and/or care plans for pediatric chronic pain via virtual care (n = 12, 92.3%). Detailed survey responses are presented by discipline.

CONCLUSIONS

This study provides a rich exploration of HCPs' experiences in providing MDT for pediatric chronic pain within a virtual care model. The current results may contribute to the future development of guidelines for virtual care delivery with pediatric chronic pain populations.

"We survived the pandemic together": The impact of the COVID-19 pandemic on Canadian families living with chronic pain

Introduction

Pediatric chronic pain is a significant problem in Canada, affecting one in five youth. This study describes the impact of the pandemic on the experiences of Canadian families living with chronic pain through interviews with youth living with chronic pain, parents, and siblings.

Methods

Employing a qualitative descriptive design, in-depth semistructured interviews were completed with Canadian youth living with pain, as well as parents and siblings. Participants were not required to be related. Interviews were analyzed using a reflexive thematic analysis approach.

Results

Forty-four interviews were completed with 14 parents, 19 youth with chronic pain, and 11 siblings from across the country. Three key themes were developed: (1) absorbing and shifting: the toll of the pandemic on the family system (e.g., loss of coping mechanisms, shifting roles to respond to the pandemic), (2) social ambiguity and abandonment (e.g., social sacrifice and abandonment by the health care system), and (3) building community resilience: familial adaptation to the pandemic (e.g., family cohesion, confidence, and self-management).

Discussion/Conclusions

Youth, parents, and siblings reported that the pandemic impacted coping strategies across the family system. These results outline the challenges youth experienced managing their pain and overall health throughout the pandemic and the resilience built within families during this time. Going forward, it would be relevant to examine how racialized and structurally marginalized youth with chronic pain and their families experienced the pandemic. Future research should examine how unexpected benefits of the pandemic (e.g., increased confidence and self-management) may be sustained into the future.

Patient experiences receiving rehabilitation care via telehealth: Identifying opportunities for remote care

Use of telehealth has grown substantially in recent times due to the COVID-19 pandemic. Remote care services may greatly benefit patients with disabilities; chronic conditions; and neurological, musculoskeletal, and pain disorders, thereby allowing continuity of rehabilitation care, reducing barriers such as transportation, and minimizing COVID-19 exposure. In March 2020, our rehabilitation hospital, Shirley Ryan AbilityLab, launched a HIPAA-compliant telemedicine program for outpatient and day rehabilitation clinics and telerehabilitation therapy programs. The objective of this study was to examine patients' experiences and satisfaction with telemedicine in the rehabilitation physician practice, including novel virtual multidisciplinary evaluations. The present study examines survey data collected from 157 patients receiving telemedicine services at Shirley Ryan AbilityLab from December 2020-August 2021. Respondents were 61.8% female, predominantly White (82.2%) with ages ranging across the lifespan (69.4% over age 50 years). Diagnostic categories of the respondents included: musculoskeletal conditions 28%, chronic pain 22.3%, localized pain 10.2%, neurological conditions 26.8%, and Parkinson's and movement disorders 12.7%. Survey responses indicate that the telemedicine experiences were positive and well received. The majority of participants found these services easy to use, effective, and safe, and were overall satisfied with the attention and care they received from the providers-even for those who had not previously used telehealth. Respondents identified a variety of benefits, including alleviating financial and travel-related burdens. There were no significant differences in telehealth experiences or satisfaction across the different clinical diagnostic groups. Respondents viewed the integrated physician and rehabilitation therapist telehealth multidisciplinary model favorably, citing positive feedback regarding receiving multiple perspectives and recommendations, feeling like an integrated member of their healthcare team, and having a comprehensive, holistic team approach along with effective communication. These findings support that telemedicine can provide an effective care model in physiatry (physical medicine and rehabilitation) clinics, across different neurological, musculoskeletal, and pain conditions and in multidisciplinary team care settings. The insights provided by the present study expand our understanding of patient experiences with remote care frameworks for rehabilitation care, while controlling for institutional variation, and ultimately will help provide guidance regarding longer term integration of telemedicine in physiatry and multidisciplinary care models.

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.

Therapeutic Appropriateness of Cariprazine in the Management of Schizophrenia: Experts' Opinion using a Delphi Approach

BACKGROUND

Schizophrenia is a psychiatric disorder whose therapeutic objectives are aimed at reducing symptoms and improving patient's quality of life. First- and second-generation antipsychotics present numerous side effects. Recently introduced in the treatment of schizophrenia, cariprazine has shown to improve positive and negative symptoms as well as cognitive impairment, with good tolerability.

OBJECTIVE

To assess the level of consensus among Italian psychiatrists in relation to the use of cariprazine in the treatment of schizophrenia by using the Delphi technique.

METHOD

A Delphi study was undertaken between January and July 2022. Two questionnaires were consecutively sent to a panel of 97 psychiatrists from all over Italy, of which 81 actively participated, anonymously, in at least one of the two consultations with a sufficiently high response rate (83%).

RESULTS

Broad consensus in terms of the efficacy and safety of cariprazine in the treatment of schizophrenia during all phases of the disorder. The young first-episode schizophrenia patient with or without substance abuse seems to be an excellent candidate for cariprazine therapy. In addition, the lack of side effects makes cariprazine a suitable drug for adult and elderly patients with schizophrenia. However, there is still limited experience with the use of cariprazine, along with little knowledge of the most recent real-life data.

CONCLUSION

These results could encourage wider dissemination of evidence-based practices with the final aim of optimizing the clinical use of cariprazine in patients with schizophrenia.

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.

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

Background: Since cancer pain requires complex modalities of care, the proper strategy for addressing its telemedicine-based management should be better defined. This study aimed to trace a pathway for a progressive implementation of the telemedicine process for the treatment of pain in the setting of cancer patients. Methods: The features of the model were investigated to dissect the dropout from the telemedicine pathway. A cross-sectional patient satisfaction study was conducted. The degree of satisfaction was evaluated through a developed 22-item questionnaire (Likert scale 0−7). Results: A total of 375 video consultations for 164 patients (mean age 62.9 years) were performed through remote consultations for cancer pain management between March 2021 and February 2022. After the exclusion of 72 patients, 92 (56.1%) were included in the analysis. The dropout ratio was 8.7%. The number of visits and pharmacological therapies for neuropathic pain correlated with the risk for readmission (p < 0.05). Overall, the satisfaction was very high (mean > 5.5 for all items). Conclusion: Feedback from patients reflected high satisfaction rates with the care provided. A methodological approach based on the degree of satisfaction combined with the analysis of the pathways can help to implement the quality of a service provided through telemedicine. While not without limitations, our hybrid protocol can be useful for addressing cancer pain through a patient-centered approach.

Strengths and Weaknesses of Cancer Pain Management in Italy: Findings from a Nationwide SIAARTI Survey

Objectives: Despite guidelines, a large percentage of cancer patients continue to suffer from ineffectively treated pain. The authors undertook this survey to assess the strengths and weaknesses of cancer pain management in Italy. Design: This was a prospectively administered survey. Participants: The participants were anesthesiologists of the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI). Intervention: A 58-item questionnaire covered the demographics and features of cancer pain management in the Italian context. Results: The authors received responses from 611 pain therapists of 279 centers. Only 22% of physicians are exclusively pain therapists. Seventy-five percent are specialists in anesthesiology, intensive care, and pain medicine. Most pain centers are hospital or university facilities (78%). The strengths of cancer pain management in Italy are the careful opioid prescriptions, the use of strategies for the treatment of neuropathic pain, patient/healthcare provider partnerships, and breakthrough cancer pain management. Weaknesses to be addressed include poor adherence to guidelines, inadequate attention toward the patient’s quality of life, insufficient use of minimally invasive techniques, lack of teamwork approaches, inappropriate timing of pain specialist engagement, and poor telemedicine use. Conclusions: Despite several strengths, further efforts are needed to improve the care of patients suffering from cancer pain in Italy.

An Empirical Study on Data Validation Methods of Delphi and General Consensus

Data collection and review are the building blocks of academic research regardless of the discipline. The gathered and reviewed data, however, need to be validated in order to obtain accurate information. The Delphi consensus is known as a method for validating the data. However, several studies have shown that this method is time-consuming and requires a number of rounds to complete. Until now, there has been no clear evidence that validating data by a Delphi consensus is more significant than by a general consensus. In this regard, if data validation between both methods are not significantly different, then just using a general consensus method is sufficient, easier, and less time-consuming. Hence, this study aims to find out whether or not data validation by a Delphi consensus method is more significant than by a general consensus method. This study firstly collected and reviewed the data of sustainable building criteria, secondly validated these data by applying each consensus method, and finally made a comparison between both consensus methods. The results showed that seventeen of the valid criteria obtained from the general consensus and reduced by the Delphi consensus were found to be inconsistent for sustainable building assessments in Cambodia. Therefore, this study concludes that using the Delphi consensus method is more significant in validating the gathered and reviewed data. This experiment contributes to the selection and application of consensus methods in validating data, information, or criteria, especially in engineering fields.

A SARS-CoV-2 Infection High-Uptake Program on Healthcare Workers and Cancer Patients of the National Cancer Institute of Naples, Italy

Background: From the beginning of 2020, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) quickly spread worldwide, becoming the main problem for the healthcare systems. Healthcare workers (HCWs) are at higher risk of infection and can be a dangerous vehicle for the spread of the virus. Furthermore, cancer patients (CPs) are a vulnerable population, with an increased risk of developing severe and lethal forms of Coronavirus Disease 19 (COVID-19). Therefore, at the National Cancer Institute of Naples, where only cancer patients are treated, a surveillance program aimed to prevent the hospital access of SARS-CoV-2 positive subjects (HCWs and CPs) was implemented. The study aims to describe the results of the monitoring activity for the SARS-CoV-2 spread among HCWs and CPs, from March 2020 to March 2021. Methods: This surveillance program included a periodic sampling through nasopharyngeal molecular swabs for SARS-CoV-2 (Real-Time Polymerase Chain Reaction, RT-PCR). CPs were submitted to the molecular test at least 48 h before hospital admission. Survival analysis and multiple logistic regression models were performed among HCWs and CPs to assess the main SARS-CoV-2 risk factors. Results: The percentages of HCWs tested with RT-PCR for the detection of SARS-CoV-2, according to the first and the second wave, were 79.7% and 91.7%, respectively, while the percentages for the CPs were 24.6% and 39.6%. SARS-CoV-2 was detected in 20 (1.7%) HCWs of the 1204 subjects tested during the first wave, and in 127 (9.2%) of 1385 subjects tested in the second wave (p < 0.001); among CPs, the prevalence of patients tested varied from 100 (4.6%) during the first wave to 168 (4.9%) during the second wave (p = 0.8). The multivariate logistic analysis provided a significant OR for nurses (OR = 2.24, 95% CI 1.23–4.08, p < 0.001) compared to research, administrative staff, and other job titles. Conclusions: Our findings show that the positivity rate between the two waves in the HCWs increased over time but not in the CPs; therefore, the importance of adopting stringent measures to contain the shock wave of SARS-CoV-2 infection in the hospital setting was essential. Among HCWs, nurses are more exposed to contagion and patients who needed continuity in oncological care for diseases other than COVID-19, such as suspected cancer.

The Effective Management of Fever in Pediatrics and Insights on Remote Management: Experts' Consensus Using a Delphi Approach

BACKGROUND

Even after the publication of the 2017 update of Italian guidelines on treatment of fever in pediatrics, some fundamental questions are still open and new ones emerged during the COVID-19 pandemic.

OBJECTIVE

To assess the level of consensus among Italian pediatricians on different topics related to treatment of fever in children by using the Delphi technique.

METHODS

A Delphi study was undertaken between June and September 2021, when two questionnaires were consecutively sent to a panel of experts to be answered anonymously. An invitation to participate was sent to 500 pediatricians distributed over the whole national territory and 80 (16%) of them accepted to participate on a voluntary basis. The questionnaires were structured into three specific topics: "therapeutic appropriateness and management of the febrile child," "management of the febrile child in the presence of other diseases," and "future perspectives in remote management." Each topic had six statements.

RESULTS

A first-round questionnaire was sent to 80 accepting pediatricians from different Italian regions. Of the 72 respondents (23% working in hospitals and 72% outside), 33% were from northern, 12% central, and 55% southern Italy or islands. A second-round questionnaire was sent to the same 80 pediatricians and 69 of them responded, without significant differences for workplaces or geographical distribution as compared with the first questionnaire. Overall, 75 participants answered at least one of the two questionnaires. All the statements on the topics of "therapeutic appropriateness and management of the febrile child" and "future perspectives in remote management" reached the predefined cut off for consensus (75% or more). Only one statement on "management of the febrile child in the presence of other diseases" did not achieve the consensus even after the second round.

CONCLUSIONS

Italian pediatricians agree on several aspects of treatment of febrile children and their expert opinions could support everyday decision process complementary to recommendations by regulatory agencies and guidelines.