Perioperative Pain Management During the COVID-19 Pandemic: A Telemedicine Approach

The use of telemedicine for perioperative pain management during the COVID-19 pandemic

INTRODUCTION

Using a human factors engineering approach, the Johns Hopkins Personalized Pain Program adopted telemedicine for perioperative pain management in response to the COVID-19 pandemic. This study examines the impact of telemedicine adoption on the quality and outcomes of perioperative pain management.

METHODS

A mixed-methods study with a convergent parallel design was conducted. From June 2017 to December 2021, 902 patients participated in the Personalized Pain Program. Quantitative data on daily opioid consumption, pain severity and interference, physical and mental health status, and patient satisfaction and engagement were continuously collected with all patients using chart review and patient surveys. Beginning 23 March 2020, the Personalized Pain Program transitioned to telemedicine. A pre-post quasi-experimental design was used to examine the impact of telemedicine. In addition, qualitative interviews were conducted with 3 clinicians and 17 patients to explore their experience with telemedicine visits.

RESULTS

The monthly number of new patients seen in the Personalized Pain Program did not significantly change before and after telemedicine adoption. Compared to patients having in-person visits before the pandemic, patients having telemedicine visits during the pandemic achieved comparable improvements in daily opioid consumption, pain severity and interference, and physical health status. While telemedicine helped overcome many challenges faced by the patients, the limitations of telemedicine were also discussed.

CONCLUSION

The COVID-19 pandemic stimulated the use of telemedicine. To facilitate telemedicine adoption beyond the pandemic, future research is needed to examine best practices for telemedicine adoption and provide additional evidence on the effectiveness of telemedicine.

Assessment of the concordance between DN4 scores performed by the patient (self-assessment) or by the physician (hetero-assessment) to detect subacute neuropathic postoperative pain

BACKGROUND

Centres dedicated to chronic postsurgical pain (CPSP) have been developed, but delays for accessing to it are generally long. Teleconsultation might be a means to facilitate access to care by allowing an initial triage. CPSPs are neuropathic pain in around half of the cases and their diagnosis is mainly based on the score obtained from validated questionnaires. Among them, those requiring a neurological examination (i.e. the Douleur Neuropathique en 4 questions [DN4]) have a better sensitivity and specificity, and should be preferred. However, effectiveness of a remote neurological examination remains to be established. The aim of this observational study is to check during a face-to-face consultation if, after a short training, a naïve patient is capable to self-assess the clinical signs of neuropathic sensations.

METHODS

Thirty patients with suspected neuropathic pain were seen in a face-to-face postoperative pain consultation. Before examination, the patient was instructed to fill the DN4 questionnaire, including the neurological examination. Once explanations were given and checked, the patient was left and completed it alone. Then, the pain physician performed the DN4 questionnaire. Inter-rater reliability between patient and pain physician was assessed for each item and for DN4 score with the Kappa coefficient.

RESULTS

For each item of the DN4 questionnaire, Kappa coefficients were between 0.74 and 1, and could be considered as excellent. For DN4 ≥ 4, the Kappa coefficient was 0.86.

CONCLUSIONS

Our results suggest that after a short training, a naïve patient is capable of recognizing and diagnosing symptoms of neuropathic pain.

SIGNIFICANCE

Our results suggest that self-assessment, carried out after brief training and using a simple tool, provides results comparable to those obtained by a specialist physician to diagnose symptoms of neuropathic pain. If the results of the current study are confirmed on a larger scale, self-assessment will help improve access to specialized chronic pain care by better orienting patients and opening up access to teleconsultations.

Improvement in Adherance to Anesthesia Preoperative Appointment With Telemedicine: A Retrospective Analysis

BACKGROUND

Amidst the coronavirus disease 2019 (COVID-19) pandemic, the sudden demand for virtual medical visits drove the expansion of telemedicine across all medical specialties. Current literature demonstrates limited knowledge of the impact of telehealth on appointment adherence, particularly in preoperative anesthesia evaluations. This study aims to describe the impact of telemedicine-based anesthesia evaluation and its effects on appointment completion.  Methods: This was a retrospective, non-randomized, cohort study of adult patients at the University of California, Los Angeles, United States, who received preoperative anesthesia evaluations by telemedicine or in-person in an academic medical center. From January to September 2021, we evaluated telemedicine and in-person appointment completion in patients scheduled for surgery. The primary outcome was the incidence of appointment completion. The secondary outcomes included appointment no-shows and cancellations.  Results: Of 1332 patients included in this study, 956 patients received telehealth visits while 376 patients received in-person preoperative anesthesia evaluations. Compared to the in-person group, the telemedicine group had more appointment completions (81.38% vs 76.60%), fewer cancellations (12.55% vs 19.41%), and no statistical difference in appointment no-shows (6.07% vs 3.99%). Compared to the in-person group, patients who received telemedicine evaluations were younger (55.81 ± 18.38 vs 65.97 ± 15.19), less likely Native American and Alaska Native (0.31% vs 1.60%), more likely of Hispanic or Latino ethnicity (16.63% vs 12.23%), required less interpreter services (4.18% vs 9.31%), had more private insurance coverage (53.45% vs 37.50%) and less Medicare coverage (37.03% vs 50.53%).

CONCLUSIONS

This study demonstrates that telemedicine can improve preoperative anesthesia appointment completion and decrease appointment cancellations. We also demonstrate potential shortcomings of telemedicine in serving patients who are older, require interpreter services, or are non-privately insured. These inequities highlight potential avenues to increase equity and access to telemedicine.

Patient Experiences and Clinical Outcomes in a Multidisciplinary Perioperative Transitional Pain Service

Siloed pain management across the perioperative period increases the risk of chronic opioid use and impedes postoperative recovery. Transitional perioperative pain services (TPSs) are innovative care models that coordinate multidisciplinary perioperative pain management to mitigate risks of chronic postoperative pain and opioid use. The objective of this study was to examine patients' experiences with and quality of recovery after participation in a TPS. Qualitative interviews were conducted with 26 patients from The Johns Hopkins Personalized Pain Program (PPP) an average of 33 months after their first PPP visit. A qualitative content analysis of the interview data showed that participants (1) valued pain expectation setting, individualized care, a trusting patient-physician relationship, and shared decision-making; (2) perceived psychiatric treatment of co-occurring depression, anxiety, and maladaptive behaviors as critical to recovery; and (3) successfully sustained opioid tapers and experienced improved functioning after PPP discharge. Areas for improved patient-centered care included increased patient education, specifically about the program, continuity of care with pain specialists while tapering opioids, and addressing the health determinants that impede access to pain care. The positive patient experiences and sustained clinical benefits for high-risk complex surgical patient support further efforts to implement and adapt similar models of perioperative pain care.

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.

Human Factors and Ergonomics (HFE) applications in responses to the COVID-19 pandemic: Lessons learned and considerations for methods

Human Factors and Ergonomics (HFE), with the goal to support humans through system design, can contribute to responses to emergencies and crises, like the COVID-19 pandemic. In this paper, we describe three cases presented at the 21st Triennial Congress of the International Ergonomics Association to demonstrate how HFE has been applied during the COVID-19 pandemic, namely to (1) develop a mobile diagnostic testing system, (2) understand the changes within physiotherapy services, and (3) guide the transition of a perioperative pain program to telemedicine. We reflect on methodological choices and lessons learned from each case and discuss opportunities to expand the impact of HFE in responses to future emergencies. The HFE discipline should develop faster, less resource intensive but still rigorous, methods, increase available HFE expertise by growing the field, and proactively enhance individual and public perception of the importance of HFE in crisis response.

Opportunities and Challenges of Telehealth in Disease Management during COVID-19 Pandemic: A Scoping Review

OBJECTIVE

The novel coronavirus disease 2019 (COVID-19) pandemic is an unexpected universal problem that has changed health care access across the world. Telehealth is an effective solution for health care delivery during disasters and public health emergencies. This study was conducted to summarize the opportunities and challenges of using telehealth in health care delivery during the COVID-19 pandemic.

METHODS

A structured search was performed in the Web of Science, PubMed, Science Direct, and Scopus databases, as well as the Google Scholar search engine, for studies published until November 4, 2020. The reviewers analyzed 112 studies and identified opportunities and challenges. This review followed the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) protocols. Quality appraisal was done according to the Mixed Methods Appraisal Tool (MMAT) version 2018. Thematic analysis was applied for data analysis.

RESULTS

A total of 112 unique opportunities of telehealth application during the pandemic were categorized into 4 key themes, such as (1) clinical, (2) organizational, (3) technical, and (4) social, which were further divided into 11 initial themes and 26 unique concepts. Furthermore, 106 unique challenges were categorized into 6 key themes, such as (1) legal, (2) clinical, (3) organizational, (40 technical, (5) socioeconomic, and (6) data quality, which were divided into 16 initial themes and 37 unique concepts altogether. The clinical opportunities and legal challenges were the most frequent opportunities and challenges, respectively.

CONCLUSION

The COVID-19 pandemic significantly accelerated the use of telehealth. This study could offer useful information to policymakers about the opportunities and challenges of implementing telehealth for providing accessible, safe, and efficient health care delivery to the patient population during and after COVID-19. Furthermore, it can assist policymakers to make informed decisions on implementing telehealth in response to the COVID-19 pandemic by addressing the obstacles ahead.