Construct validity and reliability of a real-time multidimensional smartphone app to assess pain in children and adolescents with cancer

Utilizing Digital Tools for Self-Report Symptom Assessment and Management in Pediatric Oncology: A Systematic Review

CONTEXT

The evaluation of digital tools for measuring self-reported symptoms in children and adolescents undergoing cancer treatment is a critical area of research with significant implications for clinical practice and patient outcomes.

OBJECTIVE

This study aims to identify, evaluate, and summarize evidence on digital tools that enable self-reported symptom assessment and management for pediatric oncology patients.

METHODS

Seven academic databases, including PubMed, Cochrane Library, Scopus, Web of Science, CINAHL, and Medline (OVID), were searched systematically from inception until February 28, 2024. Inclusion criteria were the following: (a) study subjects were pediatric oncology patients and young adults, (b) using digital tools, (c) self-report symptom assessment and management, (d) employed either qualitative or quantitative study design, (e) written in English (f) published in peer-reviewed journals. This is a systematic review, and its protocol was registered in PROSPERO (ID: CRD42024528285). The study was conducted following the PRISMA statement.

RESULTS

Twenty-seven studies were included in this systematic review. All included studies were conducted to develop digital tools for assessing and managing the symptoms. Eight of these studies focused only on the pain; three were only for nausea and vomiting, one for nausea, and the other 15 for all symptoms. The studies' quality ranged from low to high, with overall scores ranging between 4 and 24 out of 28.

CONCLUSION

It shows that studies have generally focused on developing digital tools to address pain, nausea, vomiting, and other symptoms commonly experienced by pediatric oncology patients. While the quality of the included studies ranged from low to high, the overall findings show promise for the effectiveness and usability of these digital tools for symptom assessment and management in pediatric oncology care.

Characterization of chronic pain, pain interference, and daily pain experiences in adult survivors of childhood cancer: a report from the Childhood Cancer Survivor Study

ABSTRACT

Although survivors of childhood cancer are at an increased risk, little is known about the prevalence of chronic pain, associated interference, and daily pain experiences. Survivors (N = 233; mean age = 40.8 years, range 22-64 years; mean time since diagnosis = 32.7 years) from the Childhood Cancer Survivor Study completed pain and psychosocial measures. Survivors with chronic pain completed 2-week, daily measures assessing pain and psychological symptoms using mHealth-based ecological momentary assessment. Multivariable-modified Poisson and linear regression models estimated prevalence ratio estimates (PR) and mean effects with 95% confidence intervals (CI) for associations of key risk factors with chronic pain and pain interference, respectively. Multilevel mixed models examined outcomes of daily pain and pain interference with prior day symptoms. Ninety-six survivors (41%) reported chronic pain, of whom 23 (24%) had severe interference. Chronic pain was associated with previous intravenous methotrexate treatment (PR = 1.6, 95% CI 1.1-2.3), respiratory (PR = 1.8, 95% CI 1.2-2.5), gastrointestinal (PR = 1.6, 95% CI 11.0-2.3), and neurological (PR = 1.5, 95% CI 1.0-2.1) chronic health conditions, unemployment (PR = 1.4, 95% CI 1.0-1.9) and clinically significant depression and anxiety (PR = 2.9, 95% CI 2.0-4.2), as well as a diagnosis of childhood Ewing sarcoma or osteosarcoma (PR = 1.9, 95% CI 1.0-3.5). Higher pain interference was associated with cardiovascular and neurological conditions, unemployment and clinical levels of depression and/or anxiety, and fear of cancer recurrence. For male, but not female survivors, low sleep quality, elevated anxiety, and elevated depression predicted high pain intensity and interference the next day. A substantial proportion of childhood cancer survivors experience chronic pain and significant associated interference. Chronic pain should be routinely evaluated, and interventions are needed.

Acceptability, Effectiveness, and Roles of mHealth Applications in Supporting Cancer Pain Self-Management: Integrative Review

BACKGROUND

 Cancer pain remains highly prevalent and persistent throughout survivorship, and it is crucial to investigate the potential of leveraging the advanced features of mobile health (mHealth) apps to empower individuals to self-manage their pain.

OBJECTIVE

 This review aims to comprehensively understand the acceptability, users' experiences, and effectiveness of mHealth apps in supporting cancer pain self-management.

METHODS

 We conducted an integrative review following Souza and Whittemore and Knafl's 6 review processes. Literature was searched in PubMed, Scopus, CINAHL Plus with Full Text, PsycINFO, and Embase, from 2013 to 2023. Keywords including "cancer patients," "pain," "self-management," "mHealth applications," and relevant synonyms were used in the search. The Johns Hopkins research evidence appraisal tool was used to evaluate the quality of eligible studies. A narrative synthesis was conducted to analyze the extracted data.

RESULTS

 A total of 20 studies were included, with the overall quality rated as high (n=15) to good (n=5). Using mHealth apps to monitor and manage pain was acceptable for most patients with cancer. The internal consistency of the mHealth in measuring pain was 0.96. The reported daily assessment or engagement rate ranged from 61.9% to 76.8%. All mHealth apps were designed for multimodal interventions. Participants generally had positive experiences using pain apps, rating them as enjoyable and user-friendly. In addition, 6 studies reported significant improvements in health outcomes, including enhancement in pain remission (severity and intensity), medication adherence, and a reduced frequency of breakthrough pain. The most frequently highlighted roles of mHealth apps included pain monitoring, tracking, reminders, education facilitation, and support coordination.

CONCLUSIONS

 mHealth apps are effective and acceptable in supporting pain self-management. They offer a promising multi-model approach for patients to monitor, track, and manage their pain. These findings provide evidence-based insights for leveraging mHealth apps to support cancer pain self-management. More high-quality studies are needed to examine the effectiveness of digital technology-based interventions for cancer pain self-management and to identify the facilitators and barriers to their implementation in real-world practice.

Facilitators and Barriers to the Implementation of a Digital Pain Assessment Tool in Pediatric Oncology Practice: A Qualitative Evaluation of a Quality Improvement Project

Background: Most children and adolescents with cancer experience acute pain, and many experience longer-lasting chronic pain, negatively impacting health-related quality of life and resulting in long-term morbidity. Digital apps can aid in enhancing pain assessment and management by offering children and adolescents with cancer an accessible tool to describe their pain as a multifaceted biopsychosocial construct. Pain Squad is a useable, acceptable, and psychometrically sound multidimensional cancer pain assessment app for children and adolescents with cancer. This project aimed to evaluate the capacity to implement Pain Squad into routine pediatric oncology practice. Method: Nurse champions were asked to prescribe the Pain Squad app to patients over a 6-month implementation period. After the implementation period, we conducted audiorecorded, semistructured interviews with nurse champions to investigate the facilitators and barriers related to nurses' experiences with implementing Pain Squad. Results: The facilitators and barriers to Pain Squad implementation were organized into four overarching Consolidated Framework for Implementation Research (CFIR)-related themes: (a) characteristics of the Pain Squad app; (b) clinic setting and its context; (c) nurse implementation champions; and (d) the process of implementing Pain Squad into clinical practice. Conclusions: Interviewed nurses believed Pain Squad had the potential to improve child cancer pain care, but barriers to everyday use were evident, described in relation to the internal setting, especially the lack of compatibility between app prescription and current nurse workflows. The use of CFIR to map identified implementation facilitators and barriers can formally support the recognition of factors that may boost the chances of successful uptake.

PaiNEd app. Assessing central sensitization in survivors of breast cancer: A reliability study

Introduction

Pain is a common adverse event in survivors of breast cancer (sBCs). As there is no gold standard to assess pain experience predominantly related to central sensitization (CS) symptoms, we designed the PaiNEd app, which includes an algorithm to report whether patients are under predominant CS pain mechanisms.

Objective

We aimed to assess the reliability of the PaiNEd app to estimate whether sBC pain experience is predominantly related to CS symptoms.

Methods

An observational, descriptive reliability design was employed to assess the inter- and intrarater reliability of the PaiNEd app. This app includes an algorithm that considers the number of painful body parts and some questionnaires related to pain, such as the Numeric Pain-Rating Scale, the Brief Pain Inventory, the Tampa Scale for Kinesiophobia, the Pain Catastrophizing Scale, and the Central Sensitization Inventory (CSI).

Results

A total of 21 sBCs with persistent pain were recruited. We observe a general trend of close agreement between the paper-based and app-based formats (ICCs ranged between 0.802 and 0.972; Cronbach's alpha ranged between 0.797 and 0.971). Test-retest reliabilities were moderate to excellent (ICCs ranged between 0.510 and 0.941; Cronbach's alpha ranged between 0.499 and 0.938). The agreement between the categorization of the CS algorithm and the CSI (cut-off point ≥ 40 for CS symptoms) was 95.24%.

Conclusion

The PaiNEd app emerges as a robust tool for evaluating pain experience predominantly related to CS and pain-related symptoms in sBCs. Its demonstrated reliability not only bolsters its utility but also signifies its potential as a valuable asset for healthcare professionals engaged in pain education programs.

Parent and clinician perceptions and recommendations on a pediatric cancer pain management app: A qualitative co-design study

Pain is one of the most prevalent and burdensome pediatric cancer symptoms for young children and their families. A significant proportion of pain episodes are experienced in environments where management options are limited, including at home. Digital innovations such as apps may have positive impacts on pain outcomes for young children in these environments. Our overall aim is to co-design such an app and the objective of this study was to explore the perceptions of children's parents about app utility, needed system features, and challenges. We recruited parents of young children with cancer and multidisciplinary pediatric oncology clinicians from two pediatric cancer care centers to participate in audio-recorded, semi-structured, co-design interviews. We conducted interviews structured around technology acceptance and family caregiving theories until data saturation was reached. Audio-recordings were then transcribed, coded, and analyzed using thematic analysis. Forty-two participants took part in the process. Participants endorsed the concept of an app as a useful, safe, and convenient way to engage caregivers in managing their young child's pain. Overall, the app was valued as a means to provide real-time, multimodal informational and procedural pain support to parents, while also reducing the emotional burden of pain care. Recommendations for intervention design included accessibility-focused features, comprehensive symptom tracking, and embedded scientific- and clinically-sound symptom assessments and management advice. Predicted challenges to app use included the workload burden it may place on parents and clinicians. The insights gathered will inform the design principles of our future childhood cancer pain digital research.

Commentary: Pediatric Pain Measurement, Assessment, and Evaluation

PEDIATRIC PAIN MEASUREMENT, ASSESSMENT, AND EVALUATION

Renee C.B. Manworren, Jennifer Stinson Seminars in Pediatric Neurology Volume 23, Issue 3, August 2016, Pages 189-200 Assessment provides the foundation for diagnosis, selection of treatments, and evaluation of treatment effectiveness for pediatric patients with acute, recurrent, and chronic pain. Extensive research has resulted in the availability of a number of valid, reliable, and recommended tools for assessing children's pain. Yet, evidence suggests children's pain is still not optimally measured or treated. In this article, we provide an overview of pain evaluation for premature neonates to adolescents. The difference between pain assessment and measurement is highlighted; and the key steps to follow are identified. Information about self report and behavioral pain assessment tools appropriate for children are provided; and fac tors to be considered when choosing a specific 1 are outlined. Finally, we preview future approaches to personalized pain medicine in pediatrics that include harnessing the use of potential digital health technologies and genomics.

Pediatric Palliative Care: Insights into Assessment Tools andReview Instruments

The proper assessment of needs and outcomes in pediatric palliative care (PPC) is imperativeto ensure the best possible service to patients and families. However, given the multidimensionalnature of PPC, the low number of patients in this setting, the heterogeneity of diseases, the presenceof cognitive impairment in many patients, and the physiological development of children, outcomescan be complex and difficult to measure. Consequently, in this context, the use of standardizedand validated tools to assess the needs of children and families, to assess symptom severity, andto estimate the quality of PPC service represent a current need. Even if efforts have been made tostandardize approaches and tools for palliative care in adults, to our knowledge, a similar comprehensiveassessment of PPC has not yet been conducted to date. This narrative review provides anoverview and discusses the evaluation of tools currently applied in PPC, with an educational intentfor healthcare providers. We found that several instruments are available to assess different dimensionsof PPC. We proposed a classification into eligibility tools, patient and family needs assessmenttools, and care assessment tools. At present, two main eligibility tools exist, the PaPaS Scale and theACCAPED Scale questionnaire. Most of the tools for patient and family needs assessment have notbeen specifically validated in the PPC setting, and many may be more readily applied in researchsettings rather than in daily practice. Similar considerations can be made for tools assessing QoL,while tools assessing PPC service quality seem to be easily applied. Efforts to develop new specifictools and validate existing ones are undoubtedly advocated. However, in the patient's best interest,PPC healthcare providers should start using available tools, regardless of their validation status.

Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis

An increasing number of digital health interventions (DHIs) for remote postoperative monitoring have been developed and evaluated. This systematic review identifies DHIs for postoperative monitoring and evaluates their readiness for implementation into routine health care. Studies were defined according to idea, development, exploration, assessment, and long-term follow-up (IDEAL) stages of innovation. A novel clinical innovation network analysis used coauthorship and citations to examine collaboration and progression within the field. 126 DHIs were identified, with 101 (80%) being early stage innovations (IDEAL stage 1 and 2a). None of the DHIs identified had large-scale routine implementation. There is little evidence of collaboration, and there are clear omissions in the evaluation of feasibility, accessibility, and the health-care impact. Use of DHIs for postoperative monitoring remains at an early stage of innovation, with promising but generally low-quality supporting evidence. Comprehensive evaluation within high-quality, large-scale trials and real-world data are required to definitively establish readiness for routine implementation.

Validation of an Electronic Visual Analog Scale App for Pain Evaluation in Children and Adolescents With Symptomatic Hypermobility: Cross-sectional Study

BACKGROUND

Rapid advances in mobile apps for clinical data collection for pain evaluation have resulted in more efficient data handling and analysis than traditional paper-based approaches. As paper-based visual analogue scale (p-VAS) scores are commonly used to assess pain levels, new emerging apps need to be validated prior to clinical application with symptomatic children and adolescents.

OBJECTIVE

This study aimed to assess the validity and reliability of an electronic visual analogue scale (e-VAS) method via a mobile health (mHealth) App in children and adolescents diagnosed with hypermobility spectrum disorder/hypermobile Ehlers-Danlos syndrome (HSD/HEDS) in comparison with the traditional p-VAS.

METHODS

Children diagnosed with HSD/HEDS aged 5-18 years were recruited from a sports medicine center in Sydney (New South Wales, Australia). Consenting participants assigned in random order to the e-VAS and p-VAS platforms were asked to indicate their current lower limb pain level and completed pain assessment e-VAS or p-VAS at one time point. Instrument agreement between the 2 methods was determined from the intraclass correlation coefficient (ICC) and through Bland-Altman analysis.

RESULTS

In total, 43 children with HSD/HEDS aged 11 (SD 3.8) years were recruited and completed this study. The difference between the 2 VAS platforms of median values was 0.20. Bland-Altman analysis revealed a difference of 0.19 (SD 0.95) with limits of agreement ranging -1.67 to 2.04. An ICC of 0.87 (95% CI 0.78-0.93) indicated good reliability.

CONCLUSIONS

These findings suggest that the e-VAS mHealth App is a validated tool and a feasible method of collecting pain recording scores when compared with the traditional paper format in children and adolescents with HSD/HEDS. The e-VAS App can be reliably used for pediatric pain evaluation, and it could potentially be introduced into daily clinical practice to improve real-time symptom monitoring. Further research is warranted to investigate the usage of the app for remote support in real clinical settings.

Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment-A Scoping Review

mHealth interventions in cancer care are being increasingly applied in various settings. Nevertheless, there is a phenomenon wherein individuals show different usage patterns, which could affect the effectiveness of the intervention. In general, it is important to know the predictors of app adherence and usage patterns to improve the design and content (i.e., tailoring). The aim of this scoping review was to provide an overview of predictors of adherence to cancer-related mHealth apps in cancer patients. A systematic literature search was conducted in March 2021 in the electronic databases PubMed, CINAHL, and PsychINFO without limitation in year, focusing on cancer patients undergoing oncological or follow-up treatment using mHealth apps. The initial database search yielded a total of N = 8035 records. After title, abstract, and full-text screening, 10 articles met inclusion criteria. Studies were published between 2013 and 2020. Studies focused on children and adolescents (2/10) as well as adults (8/10). The predictors identified could be categorized into sociodemographic variables, cancer-related factors and others. This study provides an initial insight into relevant predictors of app adherence in cancer patients. However, no clear predictor of increased app adherence was found. Further research of usage patterns is therefore needed so that mHealth interventions can be tailored during development.

The influence of contextual factors on children's communication of pain during pediatric Haematopoietic Stem Cell Transplantation: A qualitative case study

PURPOSE

The aim of this study was to describe how contextual factors related to the clinical setting of a pediatric HSCT unit influenced children's communication of pain to their health-care providers and parents during hospitalization.

DESIGN AND METHODS

A qualitative case study design was conducted in two-phases in a tertiary level pediatric HSCT unit. The Social Communication Model of Pain provided the conceptual framework for the study. In phase one participants were parents and phase two participants were health-care providers and children in a pediatric HSCT unit. Parents participated in semi-structured interviews at 30- and 90-days post-transplantation regarding their child's communication of pain. Naturalistic observations of children receiving clinical care were conducted and health-care providers participated in semi-structured interviews.

RESULTS

Children extensively denied pain to their parents and health-care providers. When children did communicate pain, they were motivated by a need to seek interventions for their pain. Children's willingness to communicate pain was influenced by the physiological impact of HSCT therapy, their previous experiences of pain, their relationship with parents and health-care providers and parents and an environment of fear and uncertainty.

CONCLUSIONS

There is a pressing need for child-centric approaches to support children to communicate their pain experiences to overcome the limitations imposed by the complexity of their medical treatment and the clinical environment in which they receive healthcare.

PRACTICE IMPLICATIONS

In the context of HSCT therapy children may not communicate pain until pain is severe, and no longer bearable, or outright deny the presence of pain.

Usability and Acceptability of the QuestLeukemia Mobile Application: A Pilot Study for An Educational and Psychological Intervention for Children with Chronic Illnesses

It is widely accepted that educational interventions benefit children with chronic diseases (disease awareness and autonomy) or those undergoing medical procedures (decreased anxiety and improved satisfaction). Hematopoietic cell transplantation (HCT) is an intensive procedure to treat life-threatening diseases but is associated with multiple adverse medical experiences. QuestLeukemia (QuestED, Durham, NC) is a mobile app designed to educate pediatric patients preparing for HCT through age-appropriate videos and quizzes. Here we describe the results of the initial pilot study assessing acceptability and feasibility of QuestLeukemia app. Eligible participants were selected from a convenience sample (inpatient HCT unit and outpatient clinic). Participants spent 30-60 min using the app then completed a survey assessing the app for usability, accessibility, and user satisfaction. Participants identified the app as a useful tool for gaining disease-related knowledge and reported greater autonomy over their disease process. On average, patients indicated that the app was easy to use (M = 4.93), enjoyable (M = 4.79), and comprehensive (M = 4.71). Parents followed similar trends of satisfaction with the app. Pediatric HCT providers likewise reported that the app was easy to use (M = 4.22), enjoyable (M = 4.85), and educationally comprehensive (M = 4.77). The QuestLeukemia mobile application prototype provides an easy, enjoyable, and educational tool for pediatric patients undergoing HCT. This application was well received by patients, parents, and providers. These findings will be used to design future iterations of the game in clinical care.

The effectiveness of user-focused mobile health applications in paediatric chronic disease management: A systematic review

PROBLEM

This systematic review aims to evaluate the effectiveness of user-focused mobile health (mHealth) applications in paediatric chronic disease management.

ELIGIBILITY CRITERIA

Articles were included under the Population Intervention Comparator Outcome Study (PICOS) design framework for (P) children with a chronic disease, (I) mHealth user-focused apps, (C) usual care/control groups, (O) health outcomes related to chronic diseases, and (S) randomised controlled trials. This study followed the guidelines provided by Cochrane, Preferred Reporting Items for Systematic Reviews and Meta-Analysis, and Mobile Health Evidence Reporting and Assessment.

SAMPLE

A comprehensive literature search screening was conducted via CINAHL, PubMed, CENTRAL, ELSEVIER, SAGE, Science Direct, Scopus, Taylor Francis, WoS, and IEEE XPLORE from inception to November 15, 2020.

RESULTS

The review included seven articles, which combined provided data for a total of 755 children. The effects of the mHealth applications on the investigated 31 unique outcomes of five chronic paediatric diseases were mixed, ranging from effective to no effect. The risk of bias in the included studies was mostly either high or concerning according to Risk of Bias tool 2.0. The mobile apps that were evaluated were not standalone apps but were designed to interact with and provide data to healthcare providers.

CONCLUSION

Some mHealth interventions in this systematic review produced clinically meaningful and statistically relevant reductions in health outcomes related to chronic disease management. However, based on the available data, it is not possible to make definitive conclusions concerning the preferred target population of the interventions.

IMPLICATION

mHealth apps may be beneficial in improving selected patient outcomes in chronic disease management. Our results may assist the digital health services of hospitals, paediatric nurses who are interested in mHealth, and children who have a chronic disease.

The Symptom Experience in Pediatric Cancer: Current Conceptualizations and Future Directions

PURPOSE OF REVIEW

We aimed to review the recent research on the childhood cancer symptom experience pertaining to socioeconomic factors, biology and genetics, growth and development, family psychosocial dynamics, and social and treating environments to begin to formulate recommendations for a personalized approach to symptom management.

RECENT FINDINGS

Cancer symptoms are common and distressing in children and negatively impact child and family quality of life. Many interacting factors influence children's cancer symptoms experiences, including the assessment and management of such symptoms. This paper highlights several gaps in the research related to the cancer symptom experience including routine symptom assessment, the impact of socioeconomic, biological, and genetic factors on symptoms, and the establishment of effective symptom management partnerships with families. Based on our findings, we provide recommendations related to that research which is ready to be implemented into clinical practice and areas for needed future efforts.

Emerging Tools to Capture Self-Reported Acute and Chronic Pain Outcome in Children and Adolescents: A Literature Review

The advancement of digital health provides strategic and cost-effective opportunities for the progression of health care in children and adolescents. It is important for clinicians to be aware of the potential of emerging pain outcome measures and employ evidence-based tools capable of reliably tracking acute and chronic pain over time. The main emerging pain outcome measures for children and adolescents were examined. Overall, seven main texts and their corresponding digital health technologies were included in this study. The main findings indicated that the use of emerging digital health is able to reduce recall bias and can improve the real time paediatric data capture of acute and chronic symptoms. This literature review highlights new developments in pain management in children and adolescents and emphasizes the need for further research to be conducted on the use of emerging technologies in pain management. This may include larger scale, multicentre studies to further assess validity and reliability of these tools across various demographics. The privacy and security of mHealth data must also be carefully evaluated when choosing health applications that can be introduced into daily clinical settings.

Improved User Engagement and Assessment of Treatment Effectiveness in Patients Utilizing a Novel Digital Mobile Health Application During Spinal Cord Stimulation Screening Trials (Preprint)

Background

Patient outcomes and experience during a Spinal Cord Stimulation (SCS) screening trial can have a significant effect on whether to proceed with long-term, permanent implantation of an SCS device for the treatment of chronic pain. Enhancing the ability to track and assess patients during this initial trial evaluation offers the potential for improved understanding regarding the suitability of permanent device implantation as well as identification of the SCS-based neurostimulative modalities and parameters that may provide substantial analgesia in a patient-specific manner.

Objective

In this report, we aimed to describe a preliminary, real-world assessment of a new, real time tracking, smart, device-based digital app used by patients with chronic pain undergoing trial screening for SCS therapy.

Methods

This is a real-world, retrospective evaluation of 13,331 patients diagnosed with chronic pain who used the new “mySCS” mobile app during an SCS screening trial. The app design is health insurance portability and accountability act (HIPAA)-compliant and compatible with most commercially available smartphones (eg, Apple, iPhone, and Android). The app enables tracking of user-inputted health-related responses (ie, pain relief, activity level, and sleep quality) in addition to personal trial goals and a summary of overall experience during the SCS trial. A deidentified, aggregate analysis of user engagement, user-submitted responses, and overall trial success was conducted.

Results

When provided the opportunity, the percentage of users who engaged with the tracking app for ≥50% of the time during their trial was found to be 64.43% (n=8589). Among the 13,331 patients who used the app, 58.24% (n=7764) entered a trial goal. Most patients underwent SCS screening with a trial duration of at least 7 days (n=7739, 58.05%). Of those patients who undertook a 7-day SCS trial, 62.30% (n=3456) engaged the app for 4 days or more. In addition, among all who submitted descriptive responses using the app, health-related improvements were reported by 77.84% (n=10,377) of patients who reached day 3 of the screening phase assessment and by 83.04% (n=11,070) of those who reached trial completion. A trial success rate of 91% was determined for those who used the app (versus 85% success rate for nonusers).

Conclusions

Data from this initial, real-world examination of a mobile, digital-health–based tracking app (“mySCS”), as used during the SCS screening phase, demonstrate that substantial patient engagement can be achieved while also providing for the acquisition of more real time patient-outcome measures that may help facilitate improved SCS trial success.

Identification and Characteristics of the Three Subgroups of Pain in Chinese Children and Adolescents with Cancer

PURPOSE

Pain is a distressing symptom for children and adolescents with cancer and is experienced by individuals differently. This study sought to determine subgroups according to their pain experiences, and how demographic, clinical, and quality of life (QOL)-related characteristics might differ across subgroups.

DESIGN AND METHODS

This cross-sectional study recruited 187 pediatric patients with cancer aged 8 to 17 years old and asked them to complete measures of pain intensity, pain duration, pain interference and pain control using the Chinese translation of the validated questionnaire from the Pain Squad app, as well as 7 PROMIS measures assessing QOL-related outcomes. Latent profile analysis (LPA) was used to identify latent subgroups.

RESULTS

Three subgroups of children were identified: low-pain/low-duration (69.5%), moderate-pain/high-duration (19.8%), and high-pain/moderate-duration (10.7%). Hospitalized children were more likely to be in the moderate-pain/high-duration subgroup. Children in the high-pain/moderate-duration subgroup were more likely to be cared for by unemployed caregivers. Scores on depressive symptoms (p = 0.002), anger (p < 0.001), anxiety (p = 0.045), fatigue (p = 0.044), and mobility (p = 0.008) questionnaire were significantly worse in the high-pain/moderate-duration subgroup than the other two subgroup.

PRACTICE IMPLICATIONS

This study provides a scientific foundation for further studies exploring predictive factors related to pain experiences. More targeted treatment strategies targeting the specific characteristics of each subgroup will help improve patients' QOL and use of medical resources.

CONCLUSIONS

The 3 identified pain subgroups demonstrate the heterogeneity in pain experiences among pediatric patients with cancer. Knowledge of these subgroups can assist clinicians in better identifying and targeting pain treatment for children with cancer.

Using an App to monitor postoperative pain at home in pediatric patients

A prospective comparative study was conducted in 487 pediatric patients (69% male, mean age = 6.4 ± 4.0) to evaluate (a) the incidence, intensity, and characteristics of pain in pediatric patients at home during the first 24 hours and 5 days after surgery and (b) the factors associated with higher pain intensity, including the impact of an application (App) compared to the paper-and-pencil approach. Postoperative pain was assessed by patients or their parents at home using the 'Bambino Gesù' Children's Hospital (Ospedale Pediatrico Bambino Gesù, OPBG) tool for participants aged 4-17 years or the Faces, Legs, Arms, Cry, and Consolability scale for participants less than four years old. Participants were assigned to two groups: those who used the paper-and-pencil version of the pain scale and those who used the App. Overall, 209 of the 472 (44%) participants reported pain during the first 24 hours, and 92 of the 420 (22%) reported pain between one and five days after surgery. Higher pain intensity scores were associated with being in the App group, directly assessing own pain, and using the OPBG tool. The App was effective in facilitating pain assessment. Health professionals could empower pediatric patients and their parents in assessing pain at home through a dedicated App.

Electronic symptom monitoring in pediatric patients hospitalized for chemotherapy

BACKGROUND

Using patient-reported outcomes for symptom monitoring in oncology has resulted in significant benefits for adult patients with cancer. The feasibility of this approach has not been established in the routine care of children with cancer.

METHODS

The Pediatric Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (Ped-PRO-CTCAE) is an item library that enables children and caregivers to self-report symptoms. Ten symptom items from the Ped-PRO-CTCAE were uploaded to an online platform. Patients at least 7 years old and their caregivers were prompted by text/email message to electronically self-report daily during a planned hospitalization for chemotherapy administration. Symptom reports were emailed to the clinical team caring for the patient, but no instructions were given regarding the use of this information. Rates of patient participation and clinician responses to reports were systematically tracked.

RESULTS

The median age of the participating patients (n = 52) was 11 years (range, 7-18 years). All patients and caregivers completed an initial login, with 92% of dyads completing at least 1 additional symptom assessment during hospitalization (median, 3 assessments; range, 0-40). Eighty-one percent of participating dyads submitted symptom reports on at least half of hospital days, and 54% submitted reports on all hospital days. Clinical actions were taken in response to symptom reports 21% of the time. Most patients felt that the system was easy (73%) and important (79%). Most clinicians found symptom reports easy to understand and useful (97%).

CONCLUSIONS

Symptom monitoring using patient-reported outcome measures for hospitalized pediatric oncology patients is feasible and generates data valued by clinicians and patients.

Communication of pain by school-age children with cancer using a game-based symptom assessment app: A secondary analysis

PURPOSE

To evaluate the self-reported pain experiences of school-age children with cancer participating in a feasibility trial of a game-based symptom assessment app.

METHOD

Nineteen children (median: 8 years, range 6-12 years old) receiving cancer treatment were recruited to complete five days of symptom tracking between clinical visits using a symptom assessment app. Children could report pain as a general symptom with the ability to further localize pain on an avatar. Children could also describe symptoms in response to the app's free-text questions or the app's diary. Descriptive statistics characterized reports of pain frequency, severity, bother, and location. Free-text responses were examined for pain-related statements and analyzed using content analysis.

RESULTS

All 19 children documented pain on at least one day of app reporting between clinical visits. Pain was most frequently recorded as of mild severity and mild bother. Participants localized pain most frequently to the head, followed by the stomach, chest, extremities, and mouth. Eleven children documented 32 qualitative statements which included rich descriptions of pain-related topics (i.e., "my port hurts a little") and location (i.e., "my vision aching").

CONCLUSIONS

These results demonstrate that school-age children with cancer are willing to describe their ambulatory pain experiences on a game-based mobile app through quantitative reports and by using narrative descriptions. Additionally, these findings can potentially guide clinicians in using multiple approaches to elicit a clinically meaningful evaluation of pain in this population.

Technology-assisted depression screening tools for patients with cancer: a systematic review protocol

INTRODUCTION

Among patients with cancer, depression is still under-detected. The use of technology-assisted screening tools is rising; however, little is known about the uptake of these devices as depression screening tools among patients with cancer.

METHODS AND ANALYSIS

A systematic review will be conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P). The review is registered with PROSPERO and any adjustments to the protocol will be traced. The aims of this systematic review are to (1) identify the most common and feasible depression screening information technology (IT) delivery models among patients with cancer, (2) identify the most common depression screening instrument used in IT devices and (3) describe the published technology-assisted depression screening tools for patients with cancer. PubMed, EBSCOhost and Google Scholar databases will be used. PICO (Patient/Population, Intervention, Comparison, Outcomes) guidelines will inform the inclusion criteria. Two researchers will independently review titles and abstracts, followed by full article review and data extraction. In the case of a disagreement, a third reviewer will make the final decision. Title/abstract screening will be conducted using a screening tool prepared by the researchers. Articles will be included for review if: (1) the study includes patients with cancer, cancer survivors and/or patients on remission, (2) depression is screened using technology and (3) technology-assisted depression screening effectiveness, efficacy, feasibility and/or acceptance is addressed. The quality of the articles will be assessed using the Methodological Index For Non-Randomised Studies (MINORS, maximum score 24) through independent coding of reviewers.

ETHICS AND DISSEMINATION

This research is exempt from ethics approval given that this is a protocol for a systematic review, which uses published data. Findings from this review will be disseminated through peer-reviewed publications and scientific conferences.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number CRD42019121048.

Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review

Background

The broad availability of smartphones and the number of health apps in app stores have risen in recent years. Health apps have benefits for individuals (eg, the ability to monitor one’s health) as well as for researchers (eg, the ability to collect data in population-based, clinical, and observational studies). Although the number of health apps on the global app market is huge and the associated potential seems to be great, app-based questionnaires for collecting patient-related data have not played an important role in epidemiological studies so far.

Objective

This study aims to provide an overview of studies that have collected patient data using an app-based approach, with a particular focus on longitudinal studies. This literature review describes the current extent to which smartphones have been used for collecting (patient) data for research purposes, and the potential benefits and challenges associated with this approach.

Methods

We conducted a scoping review of studies that used data collection via apps. PubMed was used to identify studies describing the use of smartphone app questionnaires for collecting data over time. Overall, 17 articles were included in the summary.

Results

Based on the results of this scoping review, there are only a few studies that integrate smartphone apps into data-collection approaches. Studies dealing with the collection of health-related data via smartphone apps have mainly been developed with regard to psychosomatic, neurodegenerative, respiratory, and cardiovascular diseases, as well as malign neoplasm. Among the identified studies, the duration of data collection ranged from 4 weeks to 12 months, and the participants’ mean ages ranged from 7 to 69 years. Potential can be seen for real-time information transfer, fast data synchronization (which saves time and increases effectivity), and the possibility of tracking responses longitudinally. Furthermore, smartphone-based data-collection techniques might prevent biases, such as reminder bias or mistakes occurring during manual data transfers. In chronic diseases, real-time communication with physicians and early detection of symptoms enables rapid modifications in disease management.

Conclusions

The results indicate that using mobile technologies can help to overcome challenges linked with data collection in epidemiological research. However, further feasibility studies need to be conducted in the near future to test the applicability and acceptance of these mobile apps for epidemiological research in various subpopulations.

Pain at home during childhood cancer treatment: Severity, prevalence, analgesic use, and interference with daily life

BACKGROUND

Pain is a common symptom in childhood cancer. Since children spend more time at home, families are increasingly responsible for pain management. This study aimed at assessing pain at home.

PROCEDURE

In this longitudinal observational study (April 2016-January 2017), pain severity and prevalence, analgesic use, and pain interference with daily life (Brief Pain Inventory Short Form) were assessed for 4 consecutive days around the time of multiple chemotherapy appointments. Descriptive statistics (frequencies and percentages) were used to report pain severity (with clinically significant pain defined as: score ≥ 4 on "worst pain" or "average pain in the last 24 h"), pain prevalence, and analgesic use. Mixed models were estimated to assess whether patient characteristics were associated with pain severity, and whether pain severity was associated with interference with daily life.

RESULTS

Seventy-three children (50.7% male) participated (1-18 years). A majority (N = 57, 78%) experienced clinically significant pain at least once, and 30% reported clinically significant pain at least half the time. In 33.6% of scores ≥ 4, no medication was used. We found an association between pain severity and interference with daily life: the higher the pain, the bigger the interference (estimated regression coefficient = 1.01 [95% CI 0.98-1.13]).

CONCLUSIONS

The majority of children experienced clinically significant pain at home, and families frequently indicated no medication use. A stronger focus on education and coaching of families seems essential, as well as routine screening for pain in the home setting.

mHealth for pediatric chronic pain: state of the art and future directions

INTRODUCTION

Chronic pain conditions are common among children and engender cascading effects across social, emotional, and behavioral domains for the child and family. Mobile health (mHealth) describes the practice of delivering healthcare via mobile devices and may be an ideal solution to increase access and reach of evidence-based behavioral health interventions.

AREAS COVERED

The aim of this narrative review is to present a state-of-the-art overview of evidence-based mHealth efforts within the field of pediatric chronic pain and consider new and promising directions for study. Given the nascent nature of the field, published mHealth interventions in all stages of development are discussed. Literature was identified through a non-systematic search in PubMed and Google Scholar, and a review of reference lists of papers that were identified as particularly relevant or foundational (within and outside of the chronic pain literature).

EXPERT OPINION

mHealth is a promising interventional modality with early evidence suggesting it is primed to enhance behavioral health delivery and patient outcomes. There are many exciting future directions to be explored including drawing inspiration from digital health technology to generate new ways of thinking about the optimal treatment of pediatric chronic pain.

Comparison of a Mobile Health Electronic Visual Analog Scale App With a Traditional Paper Visual Analog Scale for Pain Evaluation: Cross-Sectional Observational Study

Background

Accurate quantification of pain in a clinical setting is vital. The use of an electronic pain scale enables data to be collected, analyzed, and utilized much faster compared with traditional paper-based scales. The advancement of smart technology in pediatric and adult pain evaluation may offer opportunities to introduce easy-to-use and reliable pain assessment methods within different clinical settings. If promptly introduced within different pediatric and adult pain clinic services, validated and easily accessible mobile health pain apps may lead to early pain detection, promoting improvement in patient’s quality of life and leading to potentially less time off from school or work.

Objective

This cross-sectional observational study aimed to investigate the interchangeability of an electronic visual analog scale (eVAS) app with a traditional paper visual analog scale (pVAS) among Australian children, adolescents, and adults for pain evaluation.

Methods

Healthy participants (age range 10-75 years) were recruited from a sporting club and a secondary school in Melbourne (Australia). The data collection process involved application of pressure (8.5 kg/cm²) from a Wagner Force Dial FDK 20 to the midpoint of the thumb. The pressure was applied twice with a 5-minute interval. At each pressure application, participants were asked to randomly record their pain perception using the “eVAS” accessible via the “Interactive Clinics” app and the traditional pVAS. Statistical analysis was conducted to determine intermethod and intramethod reliabilities.

Results

Overall, 109 healthy participants were recruited. Adults (mean age 42.43 years, SD 14.50 years) had excellent reliability, with an intraclass correlation coefficient (ICC) of 0.94 (95% CI 0.91-0.96). Children and adolescents (mean age 13.91 years, SD 2.89 years) had moderate-to-good intermethod and intramethod reliabilities, with an ICC of 0.80 (95% CI 0.70-0.87) and average ICC of 0.80 (95% CI 0.69-0.87), respectively.

Conclusions

The eVAS app appears to be interchangeable compared with the traditional pVAS among children, adolescents, and adults. This pain evaluation method may offer new opportunities to introduce user-friendly and validated pain assessment apps for patients, clinicians, and allied health professionals.

Use of mobile health technologies for postoperative care in paediatric surgery: A systematic review

INTRODUCTION

Mobile health (mHealth) is the use of mobile communication devices such as smartphones, wireless patient monitoring devices and tablet computers to deliver health services. Paediatric surgery patient care could potentially benefit from these technologies. This systematic review summarises the current literature on the use of mHealth for postoperative care after children's surgery.

METHODS

Seven databases were searched by a senior medical librarian. Studies were included if they reported the use of mHealth systems for postoperative care for children  <18 years old. Data extraction and risk of bias assessment were performed in duplicate.

RESULTS

A total of 18 studies were included after screening. mHealth use was varied and included appointment or medication reminders, postoperative monitoring and postoperative instruction delivery. mHealth systems included texting systems and mobile applications, and were implemented for a wide range of surgical conditions and countries.

DISCUSSION

Studies showed that mHealth systems can increase the postoperative follow-up appointment attendance rate (p < 0.001), decrease the rate of postoperative complications and returns to the emergency department and reliably monitor postoperative pain. mHealth systems were generally appreciated by patients. Most non-randomised and randomised studies had many methodological problems, including lack of appropriate control groups, lack of blinding and a tendency to devote more time to the care of the intervention group. mHealth systems have the potential to improve postoperative care, but the lack of high-quality research evaluating their impact calls for further studies exploring evidence-based mHealth implementation.

A Web-Based Mobile App (INTERACCT App) for Adolescents Undergoing Cancer and Hematopoietic Stem Cell Transplantation Aftercare to Improve the Quality of Medical Information for Clinicians: Observational Study

Background

A growing number of cancer and hematopoietic stem cell transplant (HSCT) survivors require long-term follow-up with optimal communication schemes, and patients' compliance is crucial. Adolescents have various unmet needs. Regarding self-report of symptoms and health status, users of mobile apps showed enhanced compliance. Currently, HSCT aftercare at the HSCT outpatient clinic of the St. Anna Children’s Hospital in Vienna, Austria, is based on handwritten diaries, carrying various disadvantages. Recently, we developed the prototype of a web-based, self-monitoring gamified mobile app tailored for adolescents: the INTERACCT (Integrating Entertainment and Reaction Assessment into Child Cancer Therapy) app.

Objective

This observational, prospective study evaluated the usability of the INTERACCT app for tracking real-time self-reported symptoms and health status data in adolescent HSCT patients and a healthy matched control group. The primary outcome of the study was the quality of the self-reported medical information. We hypothesized that the mobile app would provide superior medical information for the clinicians than would the handwritten diaries.

Methods

Health data were reported via paper diary and mobile app for 5 consecutive days each. The quality of medical information was rated on a 5-point scale independently and blinded by two HSCT clinicians, and the duration of use was evaluated. A total of 52 participant questionnaires were assessed for gaming patterns and device preferences, self-efficacy, users’ satisfaction, acceptability, and suggestions for improvement of the mobile app. Interrater reliability was calculated with the intraclass correlation coefficient, based on a two-way mixed model; one-way repeated-measures analysis of variance and t tests were conducted post hoc. Descriptive methods were used for correlation with participants’ demographics. For users’ satisfaction and acceptability of the mobile app, the median and the IQR were calculated.

Results

Data from 42 participants—15 patients and 27 healthy students—with comparable demographics were evaluated. The results of our study indicated a superiority of the quality of self-reported medical data in the INTERACCT app over traditional paper-and-pencil assessment (mobile app: 4.14 points, vs paper-based diary: 3.77 points, P=.02). The mobile app outperformed paper-and-pencil assessments mainly among the patients, in particular among patients with treatment-associated complications (mobile app: 4.43 points, vs paper-based diary: 3.73 points, P=.01). The mobile app was used significantly longer by adolescents (≥14 years: 4.57 days, vs ≤13 years: 3.14 days, P=.03) and females (4.76 days for females vs 2.95 days for males, P=.004). This corresponds with a longer duration of use among impaired patients with comorbidities. User satisfaction and acceptability ratings for the mobile app were high across all groups, but adherence to entering a large amount of data decreased over time. Based on our results, we developed a case vignette of the target group.

Conclusions

Our study was the first to show that the quality of patient-reported medical information submitted via the INTERACCT app embedded in a serious game is superior to that submitted via a handwritten diary. In light of these results, a refinement of the mobile app supported by a machine learning approach is planned within an international research project.

Electronic Data Capture Versus Conventional Data Collection Methods in Clinical Pain Studies: Systematic Review and Meta-Analysis

BACKGROUND

The most commonly used means to assess pain is by patient self-reported questionnaires. These questionnaires have traditionally been completed using paper-and-pencil, telephone, or in-person methods, which may limit the validity of the collected data. Electronic data capture methods represent a potential way to validly, reliably, and feasibly collect pain-related data from patients in both clinical and research settings.

OBJECTIVE

The aim of this study was to conduct a systematic review and meta-analysis to compare electronic and conventional pain-related data collection methods with respect to pain score equivalence, data completeness, ease of use, efficiency, and acceptability between methods.

METHODS

We searched the Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (EMBASE), and Cochrane Central Register of Controlled Trials (CENTRAL) from database inception until November 2019. We included all peer-reviewed studies that compared electronic (any modality) and conventional (paper-, telephone-, or in-person-based) data capture methods for patient-reported pain data on one of the following outcomes: pain score equivalence, data completeness, ease of use, efficiency, and acceptability. We used random effects models to combine score equivalence data across studies that reported correlations or measures of agreement between electronic and conventional pain assessment methods.

RESULTS

A total of 53 unique studies were included in this systematic review, of which 21 were included in the meta-analysis. Overall, the pain scores reported electronically were congruent with those reported using conventional modalities, with the majority of studies (36/44, 82%) that reported on pain scores demonstrating this relationship. The weighted summary correlation coefficient of pain score equivalence from our meta-analysis was 0.92 (95% CI 0.88-0.95). Studies on data completeness, patient- or provider-reported ease of use, and efficiency generally indicated that electronic data capture methods were equivalent or superior to conventional methods. Most (19/23, 83%) studies that directly surveyed patients reported that the electronic format was the preferred data collection method.

CONCLUSIONS

Electronic pain-related data capture methods are comparable with conventional methods in terms of score equivalence, data completeness, ease, efficiency, and acceptability and, if the appropriate psychometric evaluations are in place, are a feasible means to collect pain data in clinical and research settings.

Children's cancer pain in a world of the opioid epidemic: Challenges and opportunities

The opioid crisis in the United States has grown at an alarming rate. Children with cancer are at high risk for pain, and opioids are a first-line treatment in this population. Accordingly, there is an urgent need to optimize pain management in children with cancer without contributing to the opioid crisis. This report details opportunities for this optimization, including clinical practice guidelines, comprehensive approaches to pain management, mobile health, and telemedicine. It is vital to balance appropriate use of analgesics with efforts to prevent misuse in order to reduce unnecessary suffering and minimize unintended harms.

Pain Squad+ smartphone app to support real-time pain treatment for adolescents with cancer: protocol for a randomised controlled trial

INTRODUCTION

Pain negatively affects the health-related quality of life (HRQL) of adolescents with cancer. The Pain Squad+ smartphone-based application (app), has been developed to provide adolescents with real-time pain self-management support. The app uses a validated pain assessment and personalised pain treatment advice with centralised decision support via a registered nurse to enable real-time pain treatment in all settings. The algorithm informing pain treatment advice is evidence-based and expert-vetted. This trial will longitudinally evaluate the impact of Pain Squad+, with or without the addition of nurse support, on adolescent health and cost outcomes.

METHODS AND ANALYSIS

This will be a pragmatic, multicentre, waitlist controlled, 3-arm parallel-group superiority randomised trial with 1:1:1 allocation enrolling 74 adolescents with cancer per arm from nine cancer centres. Participants will be 12 to 18 years, English-speaking and with ≥3/10 pain. Exclusion criteria are significant comorbidities, end-of-life status or enrolment in a concurrent pain study. The primary aim is to determine the effect of Pain Squad+, with and without nurse support, on pain intensity in adolescents with cancer, when compared with a waitlist control group. The secondary aims are to determine the immediate and sustained effect over time of using Pain Squad+, with and without nurse support, as per prospective outcome measurements of pain interference, HRQL, pain self-efficacy and cost. Linear mixed models with baseline scores as a covariate will be used. Qualitative interviews with adolescents from all trial arms will be conducted and analysed.

ETHICS AND DISSEMINATION

This trial is approved by the Hospital for Sick Children Research Ethics Board. Results will provide data to guide adolescents with cancer and healthcare teams in treating pain. Dissemination will occur through partnerships with stakeholder groups, scientific meetings, publications, mass media releases and consumer detailing.

TRIAL REGISTRATION NUMBER

NCT03632343 (ClinicalTrials.gov).

"Asking Too Much?": Randomized N-of-1 Trial Exploring Patient Preferences and Measurement Reactivity to Frequent Use of Remote Multidimensional Pain Assessments in Children and Young People With Juvenile Idiopathic Arthritis

Background

Remote monitoring of pain using multidimensional mobile health (mHealth) assessment tools is increasingly being adopted in research and care. This assessment method is valuable because it is challenging to capture pain histories, particularly in children and young people in diseases where pain patterns can be complex, such as juvenile idiopathic arthritis (JIA). With the growth of mHealth measures and more frequent assessment, it is important to explore patient preferences for the timing and frequency of administration of such tools and consider whether certain administrative patterns can directly impact on children’s pain experiences.

Objective

This study aimed to explore the feasibility and influence (in terms of objective and subjective measurement reactivity) of several time sampling strategies in remote multidimensional pain reporting.

Methods

An N-of-1 trial was conducted in a subset of children and young people with JIA and their parents recruited to a UK cohort study. Children were allocated to 1 of 4 groups. Each group followed a different schedule of completion of MPT for 8 consecutive weeks. Each schedule included 2 blocks, each comprising 4 different randomized time sampling strategies, with each strategy occurring once within each 4-week block. Children completed MPT according to time sampling strategies: once-a-day, twice-a-day, once-a-week, and as-and-when pain was experienced. Adherence to each strategy was calculated. Participants completed the Patient-Reported Outcomes Measurement Information System Pain Interference Scale at the end of each week to explore objective reactivity. Differences in pain interference scores between time sampling strategies were assessed graphically and using Friedman tests. Children and young people and their parents took part in a semistructured interview about their preferences for different time sampling strategies and to explore subjective reactivity.

Results

A total of 14 children and young people (aged 7-16 years) and their parents participated. Adherence to pain reporting was higher in less intense time sampling strategies (once-a-week=63% [15/24]) compared with more intense time sampling strategies (twice-a-day=37.8% [127/336]). There were no statistically significant differences in pain interference scores between sampling strategies. Qualitative findings from interviews suggested that children preferred once-a-day (6/14, 43%) and as-and-when pain reporting (6/14, 43%). Creating routine was one of the most important factors for successful reporting, while still ensuring that comprehensive information about recent pain was captured.

Conclusions

Once-a-day pain reporting provides rich contextual information. Although patients were less adherent to this preferred sampling strategy, once-a-day reporting still provides more frequent assessment opportunities compared with other less intense or overburdensome schedules. Important issues for the design of studies and care incorporating momentary assessment techniques were identified. We demonstrate that patient reporting preferences are key to accommodate and are important where data capture quality is key. Our findings support frequent administration of such tools, using daily reporting methods where possible.

Benefits of Mobile Apps for Cancer Pain Management: Systematic Review

Background

Pain ratings reported by patients with cancer continue to increase, and numerous computer and phone apps for managing cancer-related pain have been developed recently; however, whether these apps effectively alleviate patients’ pain remains unknown.

Objective

This study aimed to comprehensively evaluate the role of mobile apps in the management of cancer pain.

Methods

Literature on the use of apps for cancer pain management and interventions, published before August 2019, was retrieved from the following databases: MEDLINE, Embase, Cochrane, CINAHL, Scopus, and PsycINFO. The effects of apps on cancer pain were evaluated using RevMan5.3 software, and the rates of adverse drug reactions were analyzed using the R Statistical Software Package 3.5.3.

Results

A total of 13 studies were selected for the analysis: 5 randomized controlled trials (RCTs), 4 before-after studies, 2 single-arm trials, 1 prospective cohort study, and 1 prospective descriptive study. The 5 RCTs reported data for 487 patients (240 patients in the intervention group and 247 patients in the control group), and the remaining studies reported data for 428 patients. We conducted a meta-analysis of the RCTs. According to the meta-analysis, apps can significantly reduce pain scores (mean difference [MD]=–0.50, 95% CI –0.94 to –0.07, I²=62%, P=.02). We then used apps that have an instant messaging module for subgroup analysis; these apps significantly reduced patients’ pain scores (MD=–0.67, 95% CI –1.06 to –0.28, I²=57%, P<.01). Patients using apps without an instant messaging module did not see a reduction in the pain score (MD=0.30, 95% CI –1.31 to 1.92, I²=70%, P=.71). Overall, patients were highly satisfied with using apps. Other outcomes, such as pain catastrophizing or quality of life, demonstrated greater improvement in patients using apps with instant messaging modules compared with patients not using an app.

Conclusions

The use of apps with instant messaging modules is associated with reduced pain scores in patients with cancer-related pain, and patient acceptance of these apps is high. Apps without instant messaging modules are associated with relatively higher pain scores. The presence of an instant messaging module may be a key factor affecting the effect of an app on cancer pain.

Patient empowerment for cancer patients through a novel ICT infrastructure

As a result of recent advances in cancer research and "precision medicine" approaches, i.e. the idea of treating each patient with the right drug at the right time, more and more cancer patients are being cured, or might have to cope with a life with cancer. For many people, cancer survival today means living with a complex and chronic condition. Surviving and living with or beyond cancer requires the long-term management of the disease, leading to a significant need for active rehabilitation of the patients. In this paper, we present a novel methodology employed in the iManageCancer project for cancer patient empowerment in which personal health systems, serious games, psychoemotional monitoring and other novel decision-support tools are combined into an integrated patient empowerment platform. We present in detail the ICT infrastructure developed and our evaluation with the involvement of cancer patients on two sites, a large-scale pilot for adults and a small-scale test for children. The evaluation showed mixed evidences on the improvement of patient empowerment, while ability to cope with cancer, including improvement in mood and resilience to cancer, increased for the participants of the adults' pilot.

Massage therapy for symptom reduction and improved quality of life in children with cancer in palliative care: A pilot study

BACKGROUND

For children with cancer in palliative care, pain and worry are common and frequently under-managed, which negatively impacts quality of life (QOL). Massage therapy (MT) can lead to reduced pain in children with chronic illnesses. Children with cancer have experienced lower anxiety after MT. No studies have examined the effects of MT in pediatric oncology patients receiving palliative care.

OBJECTIVE

Conduct a MT intervention to determine intervention acceptability and initial effects on ratings of pain, worry reduction, and quality of life.

DESIGN

Pre-post single group pilot study.

SETTING/SUBJECTS

Eight children with cancer (age 10-17) and one of their parents were recruited from a palliative care service.

PROCEDURE/MEASUREMENTS

Baseline (one week prior to intervention): demographics, MT expectations, QOL, and pain measures. Intervention (one month): MT was provided once per week, with children's pain and worry ratings occurring immediately before and after each MT session. Follow Up (4-6 weeks after baseline): QOL, pain, and MT/study acceptability questionnaires.

RESULTS

Participants reported significant decreases in pain following two MT sessions, and worry following one session. No significant changes in pain symptoms and QOL were found between baseline and follow up. Participants positively endorsed the study and the MT intervention, and there were no adverse effects reported.

CONCLUSIONS

MT may lead to immediate decreases in pain and worry in children with cancer who are receiving palliative care, however the effects may not be sustained long term. Difficulties regarding protocol feasibility including recruitment and study compliance remain important considerations for future work.

Evaluation of pain in pediatric upper extremity conditions

STUDY DESIGN

Narrative Review.

INTRODUCTION

Hand surgeons and therapists play an important role in the early identification of children at risk of developing chronic or recurrent pain after an upper extremity injury. Early identification of children at risk of developing a pain syndrome is critical because their physical, psychological, and/or social functioning may decline quickly without proper management due to the multidimensional nature of pain.

PURPOSE OF THE STUDY

This article outlines one approach to evaluating upper extremity pain in children to help identify those with, or at risk of, chronic pain.

METHODS

An assessment framework that recognizes the biological, sensory, emotional, and psychosocial components of pain is described.

RESULTS

The key components of a screening evaluation include obtaining a detailed history and a thorough physical examination that involves: systematic upper extremity mapping of sensory thresholds, mapping of sensory disturbances, and screening of self-reported pain intensity, location, descriptors, and interference.

DISCUSSION AND CONCLUSION

The evaluation approach described will enable hand therapists to identify children with upper extremity pain that are at risk of developing a chronic pain and make an early referral to a multidisciplinary pain team that provides education, pharmacological pain management, physical rehabilitation, and psychological treatments.

Mobile applications in oncology: A systematic review of health science databases

INTRODUCTION

In recent years there has been an exponential growth in the number of mobile applications (apps) relating to the early diagnosis of cancer and prevention of side effects during cancer treatment. For health care professionals and users, it can thus be difficult to determine the most appropriate app for given needs and assess the level of scientific evidence supporting their use. Therefore, this review aims to examine the research studies that deal with this issue and determine the characteristics of the apps involved.

METHODOLOGY

This study involved a systematic review of the scientific literature on randomized clinical trials that use apps to improve cancer management among patients, using the Pubmed (Medline), Latin America and the Caribbean in Health Sciences (LILACS), and Cochrane databases. The search was limited to articles written in English and Spanish published in the last 10 years. A search of the App Store for iOS devices and Google Play for Android devices was performed to find the apps identified in the included research articles.

RESULTS

In total, 54 articles were found to analyze the development of an application in the field of oncology. These articles were most frequently related to the use of apps for the early detection of cancer (n = 28), particularly melanoma (n = 9). In total, 21 studies reflected the application used. The apps featured in nine articles were located using the App Store and Google Play (n = 9), of which five were created to manage cancer-related issues. The rest of the apps were designed for use in the general population (n = 4).

CONCLUSIONS

There is an increasing number of research articles that study the use of apps in the field of oncology; however, these mobile applications tend to disappear from app stores after the studies are completed.

Validity, Reliability, Feasibility, and Usefulness of Pain Monitor: A Multidimensional Smartphone App for Daily Monitoring of Adults With Heterogenous Chronic Pain

OBJECTIVES

Ecological momentary assessment has been recommended in the management of chronic pain. Smartphone apps might be a useful tool for that purpose. This goal of this study was to develop and test a multidimensional smartphone app for adults with chronic pain. A multidisciplinary team developed the app content after a series of meetings, considering clinical guidelines for pain measurement. The content included pain intensity and interference, fatigue, mood, perceived health status, activity level, side effects of the medication, use of rescue medication, and pain-related sychological constructs (catastrophizing, acceptance, fear, and coping).

METHODS

Thirty-eight participants (21 to 59 y) used the app, called Pain Monitor, twice a day during 30 consecutive days. Patients completed a set of well-established measures at the beginning and end of the study via paper-and-pencil. Weekly phone assessments were also made for pain intensity, pain interference, fatigue, and mood.

RESULTS

Construct validity was revealed by moderate-to-strong correlations between app content and traditional measures. Feasibility was supported by high compliance (between 70% and 82%) and high acceptability and ease of use. Both side effects of the medication and use of rescue medication were found to be useful tools to guide treatment.

DISCUSSION

The new assessment protocol in the app allows for an easy and rapid multidimensional assessment of chronic pain patients.

A Qualitative Assessment of the Acceptability of Smartphone Applications for Improving Sleep Behaviors in Low-Income and Minority Adolescents

Background: Daily behaviors such as sleep can be targeted by smartphone app-based interventions, with potential utility among young people of minority ethnic backgrounds who commonly access smartphone devices and are short sleepers. There is a need to understand the acceptability and youth's readiness to use apps to improve sleep, and to identify desired app components that would motivate engagement. Participants and Methods: We conducted three focus group discussions (N = 27 total, age 14-18 years) within low- and middle-income ethnically diverse Boston neighborhoods. We also interviewed 10 participants who provided specific feedback on two commercially available sleep-promoting apps, one of which they had used on their smartphone preceding the interviews. All focus group discussions and interviews were audio-recorded, transcribed, and thematically analyzed. Results: We identified several barriers to adoption of sleep hygiene interventions, namely reluctance to follow scheduled sleep routines on weekends and concern about "parting" with electronics at bedtime. Participants were intrigued by the idea of adopting an app-based sleep intervention, but were skeptical that they could successfully adopt sleep hygiene practices, and were more interested in making changes on school days than on weekends. Nonetheless, the overall feedback on two commercial sleep apps, neither targeted at youth, was positive, with a good adherence and engagement rate, and perceived health benefits. Conclusions: Our findings highlight the need to adapt sleep hygiene recommendations to targeted populations, considering preferences and social and cultural contextual factors. Our research also underscores the importance of the platform, setting, and messenger when delivering health information to adolescents.

Translation, Cross-Cultural Adaptation, and Validation of the Adolescent Pediatric Pain Tool (APPT) for Multidimensional Measurement of Pain in Children and Adolescents

BACKGROUND

Pain is subjective and multidimensional in nature. Its assessment is very challenging especially in the pediatric population. Adequate assessment of pain in children is the keystone for effective management. Accurate and comprehensive evaluation of the child's pain experience requires the use of multidimensional pain assessment tools such as the Adolescent Pediatric Pain Tool (APPT) which measures the intensity, location and quality of pain.

AIMS

The aim of this study was to translate and culturally validate the APPT for use in Lebanese children and adolescents with cancer.

METHODS

The instrument was translated and culturally adapted following the WHO four steps; 1) forward translation and back-translation, 2) expert panel, 3) pre-testing and 4) cognitive interviewing. The semantic validation of the pain quality descriptors was performed by healthy children and children with cancer aged 8-17 years, using the Q-sort method.

RESULTS

A final Arabic version with 31 pain descriptors equivalent to the original tool was produced based on the results from the pilot study and the children's interviews. Children were able to differentiate between the different words they use to describe their pain.

CONCLUSION

Our results showed that the Lebanese version of the APPT is a culturally sensitive tool to assess the location, intensity and quality of pain in Lebanese children with cancer. Health professionals are encouraged to use this tool to assess the pain characteristics in Lebanese children with cancer, hence leading to effective pain management.

Digital Interventions to Support Adolescents and Young Adults With Cancer: Systematic Review

Background

The last decade has seen an increase in the number of digital health interventions designed to support adolescents and young adults (AYAs) with cancer.

Objective

The objective of this review was to identify, characterize, and fully assess the quality, feasibility, and efficacy of existing digital health interventions developed specifically for AYAs, aged between 13 and 39 years, living with or beyond a cancer diagnosis.

Methods

Searches were performed in PubMed, EMBASE, and Web of Science to identify digital health interventions designed specifically for AYA living with or beyond a cancer diagnosis. Data on the characteristics and outcomes of each intervention were synthesized.

Results

A total of 4731 intervention studies were identified through the searches; 38 interventions (43 research papers) met the inclusion criteria. Most (20/38, 53%) were website-based interventions. Most studies focused on symptom management and medication adherence (15, 39%), behavior change (15, 39%), self-care (8, 21%), and emotional health (7, 18%). Most digital health interventions included multiple automated and communicative functions such as enriched information environments, automated follow-up messages, and access to peer support. Where reported (20, 53% of studies), AYAs’ subjective experience of using the digital platform was typically positive. The overall quality of the studies was found to be good (mean Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields scores >68%). Some studies reported feasibility outcomes (uptake, acceptability, and attrition) but were not sufficiently powered to comment on intervention effects.

Conclusions

Numerous digital interventions have been developed and designed to support young people living with and beyond a diagnosis of cancer. However, many of these interventions have yet to be deployed, implemented, and evaluated at scale.

"Seeing Pain Differently": A Qualitative Investigation Into the Differences and Similarities of Pain and Rheumatology Specialists' Interpretation of Multidimensional Mobile Health Pain Data From Children and Young People With Juvenile Idiopathic Arthritis

Background

In contrast to the use of traditional unidimensional paper-based scales, a mobile health (mHealth) assessment of pain in children and young people (CYP) with juvenile idiopathic arthritis (JIA) enables comprehensive and complex multidimensional pain data to be captured remotely by individuals. However, how professionals use multidimensional pain data to interpret and synthesize pain reports gathered using mHealth tools is not yet known.

Objective

The aim of this study was to explore the salience and prioritization of different mHealth pain features as interpreted by key stakeholders involved in research and management of pain in CYP with JIA.

Methods

Pain and rheumatology specialists were purposively recruited via professional organizations. Face-to-face focus groups were conducted for each specialist group. Participants were asked to rank order 9 static vignette scenarios created from real patient mHealth multidimensional pain data. These data had been collected by a researcher in a separate study using My Pain Tracker, a valid and acceptable mHealth iPad pain communication tool that collects information about intensity, severity, location, emotion, and pictorial pain qualities. In the focus groups, specialists discussed their decision-making processes behind each rank order in the focus groups. The total group rank ordering of vignette scenarios was calculated. Qualitative data from discussions were analyzed using latent thematic analysis.

Results

A total of 9 pain specialists took part in 1 focus group and 10 rheumatology specialists in another. In pain specialists, the consensus for the highest pain experience (44%) was poorer than their ranking of the lowest pain experiences (55%). Conversely, in rheumatology specialists, the consensus for the highest pain experience (70%) was stronger than their ranking of the lowest pain experience (50%). Pain intensity was a high priority for pain specialists, but rheumatology specialists gave high priority to intensity and severity taken together. Pain spread was highly prioritized, with the number of pain locations (particular areas or joints) being a high priority for both groups; radiating pain was a high priority for pain specialists only. Pain emotion was challenging for both groups and was only perceived to be a high priority when specialists had additional confirmatory evidence (such as information about pain interference or clinical observations) to validate the pain emotion report. Pain qualities such as particular word descriptors, use of the color red, and fire symbols were seen to be high priority by both groups in interpretation of CYP pain reports.

Conclusions

Pain interpretation is complex. Findings from this study of specialists’ decision-making processes indicate which aspects of pain are prioritized and weighted more heavily than others by those interpreting mHealth data. Findings are useful for developing electronic graphical summaries which assist specialists in interpreting patient-reported mHealth pain data more efficiently in clinical and research settings.

Reducing pain in children with cancer: Methodology for the development of a clinical practice guideline

Although pain is one of the most prevalent and bothersome symptoms children with cancer experience, evidence-based guidance regarding assessment and management is lacking. With 44 international, multidisciplinary healthcare professionals and nine patient representatives, we aimed to develop a clinical practice guideline (following GRADE methodology), addressing assessment and pharmacological, psychological, and physical management of tumor-, treatment-, and procedure-related pain in children with cancer. In this paper, we present our thorough methodology for this development, including the challenges we faced and how we approached these. This lays the foundation for our clinical practice guideline, for which there is a high clinical demand.

Development and validation of a pain monitoring app for patients with musculoskeletal conditions (The Keele pain recorder feasibility study)

Background

Assessing daily change in pain and related symptoms help in diagnosis, prognosis, and monitoring response to treatment. However, such changes are infrequently assessed, and usually reviewed weeks or months after the start of treatment. We therefore developed a smartphone application (Keele Pain Recorder) to record information on the severity and impact of pain on daily life. Specifically, the study goal was to assess face, content and construct validity of data collection using the Pain Recorder in primary care patients receiving new analgesic prescriptions for musculoskeletal pain, as well as to assess its acceptability and clinical utility.

Methods

The app was developed with Keele’s Research User Group (RUG), a clinical advisory group (CAG) and software developer for use on Android devices. The app recorded pain levels, interference, sleep disturbance, analgesic use, mood and side effects. In a feasibility study, patients aged > 18 attending their general practitioner (GP) with a painful musculoskeletal condition were recruited to use the app twice per day for 28 days. Face and construct validity were assessed through baseline and post-study questionnaires (Spearman’s rank correlation coefficient). Usability and acceptability were determined through post-study questionnaires, and patient, GP, RUG and CAG interviews.

Results

An app was developed which was liked by both patients and GPs. It was felt that it offered the opportunity for GPs to discuss pain control with their patients in a new way. All participants found the app easy to use (it did not interfere with their activities) and results easy to interpret. Strong associations existed between the first 3 days (Spearman r = 0.79) and last 3 days (r = 0.60) of pain levels and intensity scores on the app with the validated questionnaires.

Conclusions

Collaborating with patient representatives and clinical stakeholders, we developed an app which can be used to help clinicians and patients monitor painful musculoskeletal conditions in response to analgesic prescribing. Recordings were accurate and valid, especially, for pain intensity ratings, and it was easy to use. Future work needs to examine how pain trajectories can help manage changes in a patient’s condition, ultimately assisting in self-management.

Electronic supplementary material

The online version of this article (10.1186/s12911-019-0741-z) contains supplementary material, which is available to authorized users.

The Implementation Effectiveness of a Freely Available Pediatric Cancer Pain Assessment App: A Pilot Implementation Study

Background

Pain Squad is an evidence-based, freely available iOS app designed to assess pain in children with cancer. Once research-based technologies such as Pain Squad are validated, it is important to evaluate their performance in natural settings to optimize their real-world clinical use.

Objective

The objective of this study was to evaluate the implementation effectiveness of Pain Squad in a natural setting.

Methods

Parents of 149 children with cancer (aged 8-18 years) were contacted to invite their child to participate. Participating children downloaded Pain Squad on their own iOS devices from the Apple App Store and reported their pain using the app twice daily for 1 week. Participants then emailed their pain reports from the app to the research team and completed an online survey on their experiences. Key implementation outcomes included acceptability, appropriateness, cost, feasibility, fidelity, penetration, and sustainability.

Results

Of the 149 parents contacted, 16 of their children agreed to participate. More than a third (6/16, 37.5%) of participating children returned their pain reports to the research team. Adherence to the pain assessments was 62.1% (mean 8.7/14 assessments). The 6 children who returned reports rated the app as highly feasible to download and use and rated their overall experience as acceptable. They also reported that they would be willing to sustain their Pain Squad use over several weeks and that they would recommend it to other children with cancer, which suggests that it may have potential for penetration.

Conclusions

While Pain Squad was well received by the small number of children who completed the study, user uptake, engagement, and adherence were significant barriers to the implementation of Pain Squad in a natural setting. Implementation studies such as this highlight important challenges and opportunities for promoting the use and uptake of evidence-based technologies by the intended end-users.

Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods

Background

Measuring and predicting pain volatility (fluctuation or variability in pain scores over time) can help improve pain management. Perceptions of pain and its consequent disabling effects are often heightened under the conditions of greater uncertainty and unpredictability associated with pain volatility.

Objective

This study aimed to use data mining and machine learning methods to (1) define a new measure of pain volatility and (2) predict future pain volatility levels from users of the pain management app, Manage My Pain, based on demographic, clinical, and app use features.

Methods

Pain volatility was defined as the mean of absolute changes between 2 consecutive self-reported pain severity scores within the observation periods. The k-means clustering algorithm was applied to users’ pain volatility scores at the first and sixth month of app use to establish a threshold discriminating low from high volatility classes. Subsequently, we extracted 130 demographic, clinical, and app usage features from the first month of app use to predict these 2 volatility classes at the sixth month of app use. Prediction models were developed using 4 methods: (1) logistic regression with ridge estimators; (2) logistic regression with Least Absolute Shrinkage and Selection Operator; (3) Random Forests; and (4) Support Vector Machines. Overall prediction accuracy and accuracy for both classes were calculated to compare the performance of the prediction models. Training and testing were conducted using 5-fold cross validation. A class imbalance issue was addressed using a random subsampling of the training dataset. Users with at least five pain records in both the predictor and outcome periods (N=782 users) are included in the analysis.

Results

k-means clustering algorithm was applied to pain volatility scores to establish a threshold of 1.6 to differentiate between low and high volatility classes. After validating the threshold using random subsamples, 2 classes were created: low volatility (n=611) and high volatility (n=171). In this class-imbalanced dataset, all 4 prediction models achieved 78.1% (611/782) to 79.0% (618/782) in overall accuracy. However, all models have a prediction accuracy of less than 18.7% (32/171) for the high volatility class. After addressing the class imbalance issue using random subsampling, results improved across all models for the high volatility class to greater than 59.6% (102/171). The prediction model based on Random Forests performs the best as it consistently achieves approximately 70% accuracy for both classes across 3 random subsamples.

Conclusions

We propose a novel method for measuring pain volatility. Cluster analysis was applied to divide users into subsets of low and high volatility classes. These classes were then predicted at the sixth month of app use with an acceptable degree of accuracy using machine learning methods based on the features extracted from demographic, clinical, and app use information from the first month.

A parent-science partnership to improve postsurgical pain management in young children: Co-development and usability testing of the Achy Penguin smartphone-based app

BACKGROUND

Young children are at risk for poorly managed pain after surgery, with significant negative consequence to their quality of life and health outcomes. Mobile applications offer a highly accessible, engaging, and interactive medium to improve pain assessment and management; however, they generally lack scientific foundation or support.

AIMS

The aims of this study were to describe a successful parent-science partnership in the development and testing of Achy Penguin, a parent-developed iOS app to help assess and manage acute pain in young children, and to evaluate and refine the usability of Achy Penguin in young children with acute postoperative pain.

METHODS

Three cycles of iterative usability testing were conducted with 20 4- to 7-year-old children (M = 5.8 years) in hospital who had recently undergone surgery (n = 6-7 children/cycle). Semistructured qualitative interviews were analyzed using simple content analysis.

RESULTS

Feedback from children and further integration of evidence-based pediatric pain knowledge led to refinements in app pain assessment and management content, as well as app flow and functionality. Changes improved children's ease of use and understanding and satisfaction by simplifying language in app instructions and content, adding audio and pictorial instructions, and increasing the engagement, interactiveness, immersiveness, and general appeal of pain management strategies.

CONCLUSIONS

This article showcases the value of collaborative partnerships between various stakeholders (parents, app developers, and researcher/health care providers) to address gaps in pediatric pain care. The Achy Penguin app shows promise for improving pain assessment and management in young children, although further evaluation of app effectiveness and implementation is warranted.

A Cloud-Based Virtual Outpatient Clinic for Patient-Centered Care: Proof-of-Concept Study

BACKGROUND

Most electronic health (eHealth) interventions offered to patients serve a single purpose and lack integration with other tools or systems. This is problematic because the majority of patients experience comorbidity and chronic disease, see multiple specialists, and therefore have different needs regarding access to patient data, communication with peers or providers, and self-monitoring of vital signs. A multicomponent digital health cloud service that integrates data sharing, collection, and communication could facilitate patient-centered care in combination with a hospital patient portal and care professionals.

OBJECTIVE

This study aimed to assess the feasibility and functionality of a new cloud-based and multicomponent outpatient clinic, the "Virtual Outpatient Clinic" (VOC).

METHODS

The VOC consists of 6 digital tools that facilitate self-monitoring (blood pressure, weight, and pain) and communication with peers and providers (chat and videoconferencing) connected to a cloud-based platform and the hospital patient portal to facilitate access to (self-collected) medical data. In this proof-of-concept study, 10 patients from both Departments of Internal Medicine and Dermatology (N=20) used all options of the VOC for 6 weeks. An eNurse offered support to participants during the study. We assessed the feasibility, usage statistics, content, adherence, and identified technical issues. Moreover, we conducted qualitative interviews with all participants by following a standard interview guide to identify user experiences, including barriers, facilitators, and potential effects.

RESULTS

Most participants successfully used all options of the VOC and were positive about different tools and apps and the integral availability of their information. The adherence was 37% (7/19) for weight scale, 58% (11/19) for blood pressure monitor, and 70% (14/20) and 85% (17/20) for pain score and daily questions, respectively. The adherence for personal health record was 65% (13/20) and 60% (12/20) for the patient portal system. Qualitative data showed that performance and effort expectancy scored high among participants, indicating that using the VOC is convenient, easy, and time-saving.

CONCLUSIONS

The VOC is a promising integrated Web-based technology that combines self-management, data sharing, and communication between patients and professionals. The system can be personalized by connecting various numbers of components, which could make it a relevant tool for other patient groups. Before a system, such as the VOC, can be implemented in daily practice, prospective studies focused on evaluating outcomes, costs, and patient-centeredness are needed.

Availability of researcher-led eHealth tools for pain assessment and management: barriers, facilitators, costs, and design

INTRODUCTION

Numerous eHealth tools for pain assessment and management have been developed and evaluated with promising results regarding psychometric properties, efficacy, and effectiveness. Although considerable resources are spent on developing and evaluating these tools with the aim of increasing access to care, current evidence suggests they are not made available to end users, reducing their impact and creating potential research waste.

METHODS

This study consisted of 2 components: (1) a systematic review of eHealth tools for pediatric pain assessment and/or management published in the past 10 years, and (2) an online survey, completed by the authors of identified tools, of tool availability, perceived barriers or facilitators to availability, grant funding used, and a validated measure of user-centeredness of the design process (UCD-11).

RESULTS

Ninety articles (0.86% of citations screened) describing 53 tools met inclusion criteria. Twenty-six survey responses were completed (49.06%), 13 of which (50.00%) described available tools. Commonly endorsed facilitators of tool availability included researchers' beliefs in tool benefits to the target population and research community; barriers included lack of infrastructure and time. The average cost of each unavailable tool was $314,425.31 USD ($3,144,253.06 USD total, n = 10). Authors of available tools were more likely to have followed user-centered design principles and reported higher total funding.

CONCLUSION

Systemic changes to academic and funding structures could better support eHealth tool availability and may reduce potential for research waste. User-centered design and implementation science methods could improve the availability of eHealth tools and should be further explored in future studies.