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

Association Between Trust in Health Care Professionals and Health Care Access: Insights From an Online Survey Across 21 Countries

Objectives

This study evaluates the association between trust in health care professionals and health care delays across 21 countries.

Methods

We apply logistic regression models to survey data of over 621,000 individuals collected in Spring 2023.

Results

Results show 44.5% of respondents with medical conditions experienced delays in accessing health care and 44.1% reported lack of trust in health care professionals. Those who trusted health care professionals had significantly lower odds of delaying medical care. Trust was most strongly associated with delays in the United Kingdom (OR = 0.373, 95% CI = 0.273-0.510), while South Africa had the smallest association (OR = 0.762, 95% CI = 0.582-0.997).

Conclusion

Trust is important in influencing health care-seeking behaviors, though the causal direction warrants further research. There is a need for targeted strategies to build and sustain trust in health care relationships as well as enhancing health care access.

Rett Syndrome Behaviour Questionnaire: Variability of Scores and Related Factors

Objective: Rett syndrome (RTT) is a severe neurodevelopmental disorder affecting predominantly females and associated with variants in the MECP2 gene. Recent success in clinical trials have resulted in an expanded use of the Rett Syndrome Behaviour Questionnaire (RSBQ) for clinical and research purposes. Implementation of the RSBQ as a global clinical severity scale has raised concerns about its construct validity considering its content, structure, and psychometric features. To further understand RSBQ data, we analyzed RSBQ scores available in the literature with a focus on variability and influencing factors. Methods: We identified publications reporting RSBQ total and/or subscale scores and summarized relevant study information, such as type of investigation, administration method, and descriptive data. We then analyzed means and standard deviations, calculating variance-to-mean ratios (VMR), as a measure of variability, when raw score descriptive statistics were available. Where appropriate, we compared means and VMRs by Welch t-tests. Results: Of the 14 publications identified, raw total scores from 5 observational studies and 4 clinical trials (baseline) were available. Raw subscale scores from four of the five observational studies were also available. We found a wide but comparable range of mean total scores for observational studies and clinical trials. However, VMRs were significantly higher in observational studies. Subscale scores showed either high (i.e., General Mood, Breathing Problems) or low (e.g., Hand Behaviours, Body Rocking and Expressionless Face) variability. Available data demonstrated greater variability in pediatric than adult groups and less variability when using interviews or electronic RSBQ administration compared with paper forms. Total score changes over time did not affect variability. Although certain studies offered insight into the relationship between the RSBQ and other measures, overall, data were insufficient for characterizing how RSBQ variability relates to other factors. Conclusions: Our findings on score variability support the need for more comprehensive reporting of RSBQ data, cohort characterization, and methodology; and the deployment of standardized RSBQ administration methods, such as advanced data capture systems. There is potential for use of subscales as outcome measures, subject to further psychometric validation studies, including prospective investigations testing the stability of RSBQ scores and influencing factors. Further examining the relationship between RSBQ scores and other instruments will aid in its interpretation as a clinical outcome measure.

Tendon structure, clinical tests, and pain during-loading in young female competitive gymnasts

To examine the relationship between Achilles-tendon (AT) and patellar-tendon (PT) structure, clinical-examination and tendon pain in young gymnasts; and, to explore the associations between these factors and age, maturation, and training-load. Two hundred and seventy-four female gymnasts (aged 12.1±1.9 yrs) were assessed for anthropometric measures, pubertal-stage, and training-load. They had clinical-tests (pain-on-palpation for AT and pain-on-palpation and Royal-London Hospital-Test for PT), were asked about tendon-pain during-loading and were assessed for tendon-structure. Gymnasts with positive clinical-tests (with and without pain during-loading) presented a significantly higher prevalence of disorganized AT and PT compared to gymnasts with negative clinical-tests (with and without pain during-loading) (p<0.05). A significant pubertyXpositive clinical-test interaction was found for disorganized PT structure, whereby a disorganized structure was more prevalent among post-pubertal gymnasts with positive clinical-tests compared to pre-pubertal participants with negative clinical-tests (F(1, 263)=9.436, p=0.002). In gymnasts with positive clinical-tests, significant correlations were found between disorganized AT and PT structures and age, and training-load (p<0.05). An increased prevalence of disorganized tendon structure (regardless of pain during-loading) was seen in participants with positive clinical-tests. This disorganized tendon-structure was found to be significantly related to increased age, post-pubertal stage, and higher training hours in gymnasts with positive clinical-tests.

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.

Leveraging the functionality of Research Electronic Data Capture (REDCap) to enhance data collection and quality in the Opioid Analgesic Reduction Study

BACKGROUND

The Opioid Analgesic Reduction Study is a double-blind, prospective, clinical trial investigating analgesic effectiveness in the management of acute post-surgical pain after impacted third molar extraction across five clinical sites. Specifically, Opioid Analgesic Reduction Study examines a commonly prescribed opioid combination (hydrocodone/acetaminophen) against a non-opioid combination (ibuprofen/acetaminophen). The Opioid Analgesic Reduction Study employs a novel, electronic infrastructure, leveraging the functionality of its data management system, Research Electronic Data Capture, to not only serve as its data reservoir but also provide the framework for its quality management program.

METHODS

Within the Opioid Analgesic Reduction Study, Research Electronic Data Capture is expanded into a multi-function management tool, serving as the hub for its clinical data management, project management and credentialing, materials management, and quality management. Research Electronic Data Capture effectively captures data, displays/tracks study progress, triggers follow-up, and supports quality management processes.

RESULTS

At 72% study completion, over 12,000 subject data forms have been executed in Research Electronic Data Capture with minimal missing (0.15%) or incomplete or erroneous forms (0.06%). Five hundred, twenty-three queries were initiated to request clarifications and/or address missing data and data discrepancies.

CONCLUSION

Research Electronic Data Capture is an effective digital health technology that can be maximized to contribute to the success of a clinical trial. The Research Electronic Data Capture infrastructure and enhanced functionality used in Opioid Analgesic Reduction Study provides the framework and the logic that ensures complete, accurate, data while guiding an effective, efficient workflow that can be followed by team members across sites. This enhanced data reliability and comprehensive quality management processes allow for better preparedness and readiness for clinical monitoring and regulatory reporting.

Does electronic data collection perform better than paper-based data collection in health research fieldwork? A participatory action research in Zanzibar

Introduction

Technological advancement in low-resource settings is opening the gateway to implementation of electronic data collection methods that improve data quality. We examined the concerns to use electronic data collection tool in Zanzibar, codeveloped a tool that addressed the concerns and evaluated the process and limitations of incorporating an electronic data collection tool aside from paper-based during a community-based study in Zanzibar.

Methods

The science of improvement Plan-Do-Study-Act model guided this mixed-method participatory action research (PAR). From November 2022 to October 2023, 14 data collection team members participated in (1) a consultative workshop with a fishbone analysis to understand their hesitance to use electronic data collection tools for fieldwork (Plan); (2) developing implementation and evaluation plan for the paper-based method (Do); (3) assessing the proportion of errors and challenges faced using paper-based method (Study); and (4) codeveloping, implementing and assessing an electronic data collection tool (Act).

Results

Stakeholders were hesitant to use electronic data collection tools because of fear of lost data due to poor internet, insufficient competency with technology due to lack of training, unfamiliarity with technology in general and fear of lost wages. The study revealed that using a paper-based data collection tool during baseline was time-consuming, with 12.8% of responses being errors (2611 errors out of 20 398 responses). However, once implemented, the electronic data collection application was fast and simple, with minimal errors (0.02%). Overall, there is a need to improve devices' storage capacity devices and provide more training.

Conclusion

Using the PAR approach, we understood the concerns with electronic data collection tools, allowed the team to experience the challenges faced with the paper-based collection method, codeveloped an appropriate solution and changed their attitude towards using technology that could increase accuracy and efficiency of their fieldwork.

Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference

BACKGROUND

The Longshi Scale is a pictorial assessment tool for evaluating activities of daily living (ADL) in patients with stroke. The paper-based version presents challenges; thus, the WeChat version was created to enhance accessibility. Herein, we aimed to validate the inter-rater and test-retest reliabilities of the WeChat version of the Longshi Scale and explore its potential clinical applications.

METHODS

We recruited 115 patients with stroke in the study. The ADL results of each patient were assessed using both the WeChat and paper-based version of the Longshi Scale; each evaluation was conducted by 28 health professionals and 115 caregivers separately. To explore the test-retest reliability of the WeChat version, 22 patients were randomly selected and re-evaluated by health professionals using the WeChat version. All evaluation criteria were recorded, and all evaluators were surveyed to indicate their preference between the two versions.

RESULTS

Consistency between WeChat and the paper-based Longshi Scale was high for ADL scores by health professionals (ICC2,1 = 0.803-0.988) and caregivers (ICC2,1 = 0.845-0.983), as well as for degrees of disability (κw = 0.870 by professionals; κw = 0.800 by caregivers). Bland-Altman analysis showed no significant discrepancies. The WeChat version exhibited good test-retest reliability (κw = 0.880). The WeChat version showed similar inter-rater reliability in terms of the ADL score evaluated using the paper-based version (ICC2,1 = 0.781-0.941). The time to complete assessments did not differ significantly, although the WeChat version had a shorter information entry time (P < 0.001, 95% confidence interval: -43.463 to -15.488). Health professionals favored the WeChat version (53.6%), whereas caregivers had no significant preference.

CONCLUSIONS

The WeChat version of the Longshi Scale is reliable and serves as a suitable alternative for health professionals and caregivers to assess ADL levels in patients with stroke. The WeChat version of the Longshi Scale is considered user-friendly by health professionals, although it is not preferred by caregivers.

TRIAL REGISTRATION

This study was approved by the Ethics Committee of the Second People's Hospital of Shenzhen (approval number: 20210812003-FS01) and registered on the Clinical Trial Register Center website: clinicaltrials.gov on January 31, 2022 (registration no.: NCT05214638).

Patient Experience and Attitudes Toward Electronic Intake and Patient-Reported Outcomes Within an Outpatient Whole Health Center

Background: The use of electronic intake forms within the electronic health record (EHR) is an emerging method for routinely collecting patient-reported outcomes (PRO). However, few studies have evaluated experiences/perspectives toward electronic forms among outpatients receiving care within Integrative Health and Medicine (IHM) clinics. The study purpose was to understand patients' perspectives of electronic intake and PRO forms in the outpatient IHM setting. Methods: Electronic intake (e.g., treatment expectations, medical history, chief complaints, prior experience with integrative modalities) and PRO forms (i.e., Patient Reported Outcome Measurement Information System [PROMIS]-29, Perceived Stress Scale 4, Oswestry Disability Index) were designed in collaboration with clinic leadership and the Information Technology team. Semi-structured interviews were used to gather perspectives of the functionality and acceptability of the forms among outpatients receiving care at the IHM center. Interviews were coded to describe themes regarding perceptions and suggestions for improvement. Results: Qualitative interviews were completed with 10 participants (median age 51 years, 70% female, 30% Black/African American). Participants considered electronic intake and PRO forms as relevant to their health concerns, valuable for conveying important health information to providers, and easy to navigate. Suggested changes to the intake form included adding relevant open-ended questions, save and print functions, and examples and definitions to prompt responses. Conclusion: Participants felt the electronic format was a feasible and acceptable method of collecting patient information and PROs. Future goals are to implement the revised forms in a common EHR to patients receiving care at multiple IHM clinics across the United States.

[Application possibilities of digital tools in postoperative pain therapy]

BACKGROUND

Recently, digital tools, such as smartphone-based applications and the use of artificial intelligence have increasingly found their way into pain medicine. This could enable new treatment approaches in postoperative pain management. Therefore, this article provides an overview of various digital tools and their potential application options in postoperative pain management.

MATERIAL AND METHODS

An orienting literature search was carried out in the MEDLINE and Web of Science databases, and a targeted selection of essential key publications was made in order to provide a structured presentation of different current possible applications and a discussion based on the most recent knowledge.

RESULTS

Today, possible applications of digital tools, even if they mostly have only a model character, include pain documentation and assessment, patient self-management and education, pain prediction, decision support for medical staff, and supportive pain therapy, for example in the form of virtual reality and videos. These tools offer advantages such as individualized treatment concepts, addressing specific patient groups, reduction of pain and analgesics, and the potential for early warning or detection of postoperative pain. Furthermore, the challenges of the technical implementation and appropriate user training are highlighted.

CONCLUSION

The use of digital tools, although so far integrated in clinical routine in a relatively selective and exemplary manner, promises to be an innovative approach for personalized postoperative pain therapy in the future. Future studies and projects should help to integrate the promising research approaches into everyday clinical practice.

Impact of Electronic Chronic Pain Questions on patient-reported outcomes and healthcare utilization, and attitudes toward eCPQ use among patients and physicians: prospective pragmatic study in a US general practice setting

Objective

The Electronic Chronic Pain Questions (eCPQ) has been developed to help healthcare providers systematically capture chronic pain data. This study evaluated the impact of using the eCPQ on patient-reported outcomes (PROs) and healthcare resource utilization (HCRU) in a primary care setting, and patient and physician perceptions regarding use of, and satisfaction with, the eCPQ.

Methods

This was a prospective pragmatic study conducted at the Internal Medicine clinic within the Henry Ford Health (HFH) Detroit campus between June 2017 and April 2020. Patients (aged ≥18 years) attending the clinic for chronic pain were allocated to an Intervention Group to complete the eCPQ in addition to regular care, or a control group to receive regular care only. The Patient Health Questionnaire-2 and a Patient Global Assessment were assessed at baseline, 6-months, and 12-months study visits. HCRU data were extracted from the HFH database. Telephone qualitative interviews were conducted with randomly selected patients and physicians who used the eCPQ.

Results

Two hundred patients were enrolled, 79 in each treatment group completed all 3 study visits. No significant differences (p > 0.05) were found in PROs and HCRU between the 2 groups. In qualitative interviews, physicians and patients reported the eCPQ as useful, and using the eCPQ improved patient-clinician interactions.

Conclusion

Adding the eCPQ to regular care for patients with chronic pain did not significantly impact the PROs assessed in this study. However, qualitative interviews suggested that the eCPQ was a well-accepted and potentially useful tool from a patient and physician perspective. By using the eCPQ, patients were better prepared when they attended a primary care visit for their chronic pain and the quality of patient-physician communication was increased.

Rett Syndrome Behaviour Questionnaire in Children and Adults With Rett Syndrome: Psychometric Characterization and Revised Factor Structure

Rett syndrome (RTT) is a severe neurodevelopmental disorder associated with multiple neurobehavioral abnormalities. The Rett Syndrome Behaviour Questionnaire (RSBQ) was developed for pediatric RTT observational studies. Because its application has expanded to adult and interventional studies, we evaluated the RSBQ's psychometric properties in six pediatric (n = 323) and five adult (n = 309) datasets. Total and General Mood subscale scores had good reliability. Clinical severity had no influence on RSBQ scores. Exploratory and confirmatory factor analyses yielded 6 pediatric and 7 adult clinically relevant and psychometrically strong factors including the original Breathing Problems and Fear/Anxiety subscales and the novel Emotional and Disruptive Behavior subscale composed of items from the original General Mood and Nighttime Behaviours subscales. The present findings support additional evaluations and improvements of an important RTT behavioral measure.

Patient Confidence and Information Preferences during the Treatment Decision-making Process: Results from a Large Multiple Myeloma Patient Survey Across 12 Countries in Europe and Israel

BACKGROUND

The relapsing nature of multiple myeloma (MM) means that patients typically receive different and multiple lines of therapy, requiring many treatment decisions over the disease course. The aim of this study was to explore patient confidence and information preferences during the treatment decision-making process.

PATIENTS AND METHODS

A multinational, cross-sectional survey enrolled patients with MM. It was co-developed and distributed by Myeloma Patients Europe across 12 countries in Europe and Israel from May 2019 to March 2020. Eligibility criteria included a self-reported diagnosis of MM and being able to recall the decision-making process at the start of their latest treatment line.

RESULTS

A total of 1559 patients were included, with complete responses received from 1081 (69%) patients. The median age range was 54 to 64 years; there was an equal gender split and 57% had their latest treatment decision made within the past year. Overall, 54% of patients felt "very confident" in the latest treatment decision. Patients deemed the most important information to be safety/tolerability and treatment effectiveness, but the latter was among the least frequently received. Most patients reported that their primary physician treating MM was their main source for all types of information (range, 62%-94%), with 87% of patients reporting a "very good" or "good" relationship with them.

CONCLUSION

Over half of patients felt very confident in their latest treatment decision; however, patients reported not routinely receiving important treatment effectiveness information. Addressing the discrepancies between information that patients receive and consider important may enhance confidence in decision-making.

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.

Toward a digital citizen lab for capturing data about alternative ways of self-managing chronic pain: An attitudinal user study

Background

Myriad psychosocial and cultural factors influence personal ways of coping with chronic pain (CP). Mobile health (mHealth) apps facilitate creation of citizen laboratories outside clinical frameworks. However, issues of safety, privacy and technostress must be addressed. This attitudinal user study aimed to assess whether persons with persistent pain (PwPP) would be open to sharing qualitative and quantitative data about their self-management of CP via mHealth platforms.

Methods

In March 2020, we invited PwPPs, their personal or medical caregivers, or those interested in the development of an app for researching alternative ways of self-managing CP to complete an anonymous survey. We formulated an attitudinal survey within the theoretical framework of stress to estimate whether the novelty, unpredictability, and risks of data-sharing via mHealth apps concerned users. Descriptive statistics (% Part/Group) were used to interpret the survey, and open comments were reflectively analyzed to identify emerging themes.

Results

Of 202 responses (June 2021), 127 identified as PwPPs (average age 43.86 ± 14.97; 100/127 female), and listed several primary and secondary CP diagnoses. In almost 90% of PwPPs, physical and emotional wellbeing were affected by CP. More than 90% of PwPPs used alternative therapies (acupuncture, homeopathy, massage therapy, etc.). Attitude toward mHealth apps were positive even though nearly half of PwPPs were unfamiliar with them. More than 72% of respondents were open to using a health-related app as a research tool for data collection in real life situations. Comprehensive data collection (especially about psychosocial factors) was the most important requirement. More respondents (especially medical professionals) were concerned about health hazards of misinformation communicated via health-related information and communication systems (maximum 80%) than about privacy (maximum 40%). Qualitative analyses revealed several promises and impediments to creation of data-sharing platforms for CP.

Conclusions

This study shows a general willingness among PwPPs to become partners in studying alternative pain management. Despite a generally positive attitude toward the concept of sharing complex personal data to advance research, heterogeneity of attitudes shaped by personal experiences must be considered. Our study underlines the need for any digital strategy for CP research to be person-centered and flexible.

Development of the Emoji faces pain scale and its validation on mobile device in adult surgery patients: A longitudinal observational study (Preprint)

BACKGROUND

Measuring pain on digital devices using classic unidimensional pain scales such as the visual analog scale (VAS), numerical rating scale (NRS), and faces pain scale (FPS) has been proven to be reliable and valid. Emoji are pictographs designed in colorful form following the Unicode standard. It could be more beneficial to use emoji as faces of FPS on digital devices because emoji can easily fit on most devices and emoji are open-source so no approval would be needed before use. With a concise and user-friendly design, the emoji faces pain scale (Emoji-FPS) might be more generalizable to a wider population and more preferred by digital device users.

OBJECTIVE

This study was designed to develop an Emoji-FPS as well as to evaluate its reliability, validity, and preference on mobile devices in adult patients who underwent surgery.

METHODS

A modified Delphi technique with 2 rounds of web-based surveys was applied to obtain panelists' consensus on the sequence of emoji that can best represent 6 levels of pain. The initial candidate sequences of emoji for the Delphi process were constructed referring to 2 well-validated FPSs (Wong-Baker FACES pain rating scale [Wong-Baker FACES] and faces pain scale-revised [FPS-R]). Then, a prospective cohort of patients scheduled to receive perianal surgery was recruited and asked to complete a web-based questionnaire on a mobile device at 5 time points (before surgery [T1], wake up after surgery [T2], 4 hours after surgery [T3], the second day after surgery [T4], and 15 minutes after T4 [T5]). The 4 well-validated pain scales (NRS, VAS, Wong-Baker FACES, and FPS-R) were used as reference scales.

RESULTS

After 2 rounds of surveys on 40 Delphi panelists, an Emoji-FPS was finally determined to represent 6 pain levels (0, 2, 4, 6, 8, and 10) from "no hurt" to "hurts worst." For validation, 300 patients were recruited and 299 were analyzed, the mean age of whom was 38.5 (SD 10.5) years, and 106 (35.5%) were women. For concurrent validity, the Emoji-FPS was highly correlated with 4 reference scales with Spearman correlation coefficient ρ ranging from 0.91 to 0.95. Excellent agreements were observed between 4 versions of Emoji-FPS (iOS, Android, Microsoft, and OpenMoji), with weighted κ coefficients ranging from 0.96 to 0.97. For discriminant validity, patients' mean preoperative Emoji-FPS score (T1) was significantly higher than their postoperative Emoji-FPS score (T4) with a difference of 1.4 (95% CI 1.3-1.6; P<.001). For test-retest reliability, Emoji-FPS scores measured at T4 and T5 were highly correlated with a ρ of 0.91. The Emoji-FPS was mostly preferred, followed by the Wong-Baker FACES, FPS-R, NRS, and VAS.

CONCLUSIONS

The Emoji-FPS is reliable and valid compared with traditional pain scales in adult surgery patients.

Staff preferences towards electronic data collection from a national take-home naloxone program: a cross-sectional study

BACKGROUND

During the scaling-up of a national Norwegian take-home naloxone (THN) program, data collection methods shifted from paper-based to electronic. The aim of this study was to explore staff preferences towards the shift in data collection.

METHODS

In January-February 2020, a survey was sent out via email to personnel involved with the THN program (n = 200). The survey included 17 questions, and covered staff demographics, experiences distributing THN, preferences towards data collection (both paper and electronically), and an open response section. Descriptive statistics were performed for the survey results. The open response section was recorded from each questionnaire and was coded into major themes by the authors.

RESULTS

In total, 122 staff completed the survey. Of these, 62% had experience with both electronic and paper-based forms, and there was a near unanimous preference towards electronic data collection over paper-based forms. From the free-text responses, staff found the electronic form to be a useful tool for conversation and overdose prevention education, and that the electronic form was easier to manage than the paper forms.

CONCLUSION

The shift towards electronic data collection was necessary for the feasibility of the Norwegian national THN program. This study found that staff not only tolerated the shift, but in most cases preferred this organizational change.

Play the Pain: A Digital Strategy for Play-Oriented Research and Action

The value of understanding patients' illness experience and social contexts for advancing medicine and clinical care is widely acknowledged. However, methodologies for rigorous and inclusive data gathering and integrative analysis of biomedical, cultural, and social factors are limited. In this paper, we propose a digital strategy for large-scale qualitative health research, using play (as a state of being, a communication mode or context, and a set of imaginative, expressive, and game-like activities) as a research method for recursive learning and action planning. Our proposal builds on Gregory Bateson's cybernetic approach to knowledge production. Using chronic pain as an example, we show how pragmatic, structural and cultural constraints that define the relationship of patients to the healthcare system can give rise to conflicted messaging that impedes inclusive health research. We then review existing literature to illustrate how different types of play including games, chatbots, virtual worlds, and creative art making can contribute to research in chronic pain. Inspired by Frederick Steier's application of Bateson's theory to designing a science museum, we propose DiSPORA (Digital Strategy for Play-Oriented Research and Action), a virtual citizen science laboratory which provides a framework for delivering health information, tools for play-based experimentation, and data collection capacity, but is flexible in allowing participants to choose the mode and the extent of their interaction. Combined with other data management platforms used in epidemiological studies of neuropsychiatric illness, DiSPORA offers a tool for large-scale qualitative research, digital phenotyping, and advancing personalized medicine.

Use of research electronic data capture (REDCap) in a COVID-19 randomized controlled trial: a practical example

BACKGROUND

Randomized controlled trials (RCT) are considered the ideal design for evaluating the efficacy of interventions. However, conducting a successful RCT has technological and logistical challenges. Defects in randomization processes (e.g., allocation sequence concealment) and flawed masking could bias an RCT's findings. Moreover, investigators need to address other logistics common to all study designs, such as study invitations, eligibility screening, consenting procedure, and data confidentiality protocols. Research Electronic Data Capture (REDCap) is a secure, browser-based web application widely used by researchers for survey data collection. REDCap offers unique features that can be used to conduct rigorous RCTs.

METHODS

In September and November 2020, we conducted a parallel group RCT among Indiana University Bloomington (IUB) undergraduate students to understand if receiving the results of a SARS-CoV-2 antibody test changed the students' self-reported protective behavior against coronavirus disease 2019 (COVID-19). In the current report, we discuss how we used REDCap to conduct the different components of this RCT. We further share our REDCap project XML file and instructional videos that investigators can use when designing and conducting their RCTs.

RESULTS

We reported on the different features that REDCap offers to complete various parts of a large RCT, including sending study invitations and recruitment, eligibility screening, consenting procedures, lab visit appointment and reminders, data collection and confidentiality, randomization, blinding of treatment arm assignment, returning test results, and follow-up surveys.

CONCLUSIONS

REDCap offers powerful tools for longitudinal data collection and conduct of rigorous and successful RCTs. Investigators can make use of this electronic data capturing system to successfully complete their RCTs.

TRIAL REGISTRATION

The RCT was prospectively (before completing data collection) registered at ClinicalTrials.gov; registration number: NCT04620798 , date of registration: November 9, 2020.