Summary and Analysis of Digital Pain Manikin Data in Adults With Pain Experience: Scoping Review.

Background: A digital pain manikin is a measurement tool that presents a diagram of the human body where people mark the location of their pain to produce a pain drawing. Digital pain manikins facilitate collection of more detailed spatial pain data compared to questionnaire-based methods and are an increasingly common method for self-reporting and communicating pain. An overview of how digital pain drawings, collected through digital pain manikins, are analyzed and summarized is currently missing.

Determinants of mistrust in digital health research and approaches to address them among Muslim ethnic minorities living in the United Kingdom: a qualitative study.

Background: Under-representation of Muslim ethnic minorities and their mistrust in health research are known barriers to achieving digital health equity. Therefore, this study aimed to understand determinants of Muslim communities' mistrust in digital health research and explore potential approaches to address this and increase their participation in health research.

Methods: This study employed a constructivist grounded theory design, involving focus groups with Muslim ethnic minorities living in the United Kingdom.

Clinical utility of digital pain drawings captured by people living with musculoskeletal pain conditions: a qualitative study.

Background: Digital pain drawings are an emerging method for pain assessment, but it is still unclear how these could best support pain treatment and management decisions. Therefore, this study explored the potential clinical utility of digital pain drawings.

Methods: We conducted a narrative study, involving qualitative interviews with healthcare professionals providing pain management services to people living with musculoskeletal pain conditions working across different disciplines and care levels in the healthcare system of the United Kingdom.

Methods to Analyse High Frequency Patient-Generated Health Data to Assess Treatment Response: Scoping Review.

This review identified 190 studies that used high frequency ePGHD to assess treatment response, presenting preliminary findings here for 50. Most were observational (44%) and collected different ePGHD types e.g.

Integrating Patient-Generated Health Data from a Smartphone App Across Multiple Healthcare Providers: A Case Study.

Many smartphone apps enable people to collect data about their own health but -unless tethered to an electronic health record system-rarely allow sharing of this patient-generated health data with healthcare providers. The Remote Monitoring of Rheumatoid Arthritis (REMORA) programme successfully integrated a university-provided symptom tracking app into England's National Health Service across 16 rheumatology departments in two regions, each with their own IT set-up. Informed by meetings and initial interviews with the REMORA project team, our paper presents this integration as a case study.

Designing an Equitable Text Messaging Service for South Asians to Manage Hypertension: Understanding Gender Norms.

Hypertension is prevalent among South Asians (SAs). A culturally adapted text messaging service can help manage hypertension, for which understanding gender norms is important in the cultural context of SAs. Therefore, this study aimed to understand gender norms to design an equitable text messaging service to support management of hypertension.

The current state of digital manikins to support pain self-reporting: a systematic literature review.

This systematic literature review aimed to explore the current state of digital manikins to support pain self-reporting and to explore the extent to which manikins had progressed along the translational pathway. We systematically searched six electronic databases using a combination of key words and MeSH terms for "pain" and "manikin" to identify original studies in English that used a digital pain manikin for collecting information from adults with any condition. We extracted and descriptively synthesised data on the characteristics of studies and digital pain manikins and mapped them to a stage of the translational pathway (ie, design, testing, metric validation, and diffusion).

Bridging the Gap: Challenges and Strategies for the Implementation of Artificial Intelligence-based Clinical Decision Support Systems in Clinical Practice.

Objectives: Despite the surge in development of artificial intelligence (AI) algorithms to support clinical decision-making, few of these algorithms are used in practice. We reviewed recent literature on clinical deployment of AI-based clinical decision support systems (AI-CDSS), and assessed the maturity of AI-CDSS implementation research. We also aimed to compare and contrast implementation of rule-based CDSS with implementation of AI-CDSS, and to give recommendations for future research in this area.

Development and validation of a measure to assess patient experience of needling of arteriovenous fistulas or grafts for haemodialysis access: the NPREM.

Background: Needling is a key step in haemodialysis. Research suggests that needling experience is sub-optimal; however, no validated measure exists to inform improvements. We addressed this by developing the Needling Patient Reported Experience Measure (NPREM).

Preparing to deliver a stepped wedge cluster-randomised trial to test the effectiveness of daily symptom tracking integrated into electronic health records for managing rheumatoid arthritis: a mixed-methods feasibility trial.

Background: We sought to assess the feasibility of a stepped-wedge cluster-randomised trial testing the effectiveness of a complex mHealth intervention called REMORA: a co-designed smartphone app enabling daily, weekly and monthly symptom tracking integrated into electronic health records for people with rheumatoid arthritis (RA).

Methods: We conducted a mixed-methods feasibility trial using a convergent approach with some explanatory sequential elements. Patients were eligible to take part if they were older than ≥18 years of age, had (suspected) RA or undifferentiated inflammatory arthritis, and consented to take part from two outpatient departments.

Exploring the value of routinely collected data on EQ-5D-5L and other electronic patient-reported outcome measures as prognostic factors in adults with advanced non-small cell lung cancer receiving immunotherapy.

Objective: Investigate whether routinely collected electronic patient-reported outcome measures (ePROMs) add prognostic value to clinical and tumour characteristics for adults with advanced non-small cell lung cancer (NSCLC) receiving immunotherapy.

Methods And Analysis: We retrospectively analysed data from adults with advanced NSCLC commencing immunotherapy between April 2019 and June 2022. Prognostic factors were ePROMs on quality of life (EuroQoL five-dimension five-level (EQ-5D-5L); EuroQoL Visual Analogue Scale (EQ-VAS)) and symptoms (patient-reported version of the Common Terminology Criteria for Adverse Events v5.

A scoping review of the reporting quality of reviews of commercially and publicly available mobile health apps.

Objectives: There is no guidance to support the reporting of systematic reviews of mobile health (mhealth) apps (app reviews), so authors attempt to use/modify the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). There is a need for reporting guidance, building on PRISMA where appropriate, tailored to app reviews. The objectives were to describe the reporting quality of published mHealth app reviews, identify the need for, and develop potential candidate items for a reporting guideline.

Engagement With Digital Health Technologies Among Older People Living in Socially Deprived Areas: Qualitative Study of Influencing Factors.

Background: The potential benefits of incorporating digital technologies into health care are well documented. For example, they can improve access for patients living in remote or underresourced locations. However, despite often having the greatest health needs, people who are older or living in more socially deprived areas may be less likely to have access to these technologies and often lack the skills to use them.

Development, Validation, and Clinical Utility of Electronic Patient-Reported Outcome Measure-Enhanced Prediction Models for Overall Survival in Patients With Advanced Non-Small Cell Lung Cancer Receiving Immunotherapy.

Purpose: Electronic patient-reported outcome measures (ePROMs) are increasingly collected routinely in clinical practice and may be prognostic for survival in adults with advanced non-small cell lung cancer (NSCLC) in addition to clinical data. This study developed ePROM-enhanced models for predicting 1-year overall survival in patients with advanced NSCLC at the start of immunotherapy.

Methods: This is a single-center study using consecutive patients from a tertiary cancer hospital in England.

Strategies to optimise the health equity impact of digital pain self-reporting tools: a series of multi-stakeholder focus groups.

Background: There are avoidable differences (i.e., inequities) in the prevalence and distribution of chronic pain across diverse populations, as well as in access to and outcomes of pain management services.

Exploring the Potential of Electronic Patient-Generated Health Data for Evaluating Treatment Response to Intramuscular Steroids in Rheumatoid Arthritis: Case Series.

Background: Mobile health devices are increasingly available, presenting exciting opportunities to remotely collect high-frequency, electronic patient-generated health data (ePGHD). This novel data type may provide detailed insights into disease activity outside usual clinical settings. Assessing treatment responses, which can be hampered by the infrequency of appointments and recall bias, is a promising, novel application of ePGHD.

Remote monitoring of rheumatoid arthritis (REMORA): study protocol for a stepped wedge cluster randomized trial and process evaluation of an integrated symptom tracking intervention.

Background: Management of rheumatoid arthritis (RA) relies on symptoms reported by patients during infrequent outpatient clinic visits. These reports are often incomplete and inaccurate due to poor recall, leading to suboptimal treatment decisions and outcomes. Asking people to track symptoms in-between visits and integrating the data into clinical pathways may improve this.

Electronic Collection of Patient-Reported Outcomes to Improve Kidney Care: Benefits, Drawbacks, and Next Steps.

Kidney services worldwide are increasingly using digital health technologies to deliver care. This includes kidney electronic patient-reported outcome (ePRO) systems: ambulatory digital technologies that enable the capture of PRO data electronically from people with kidney disease remotely and in real time to be shared with their kidney care team. Current kidney ePRO systems commonly aim to support the monitoring and management of symptoms in patients with kidney disease.

Reporting quality of published reviews of commercial and publicly available mobile health apps (mHealth app reviews): a scoping review protocol.

Introduction: Reviews of commercial and publicly available smartphone (mobile) health applications (mHealth app reviews) are being undertaken and published. However, there is variation in the conduct and reporting of mHealth app reviews, with no existing reporting guidelines. Building on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we aim to develop the Consensus for APP Review Reporting Items (CAPPRRI) guidance, to support the conduct and reporting of mHealth app reviews.

Experiences and Views of Young People and Health Care Professionals of Using Social Media to Self-Manage Type 1 Diabetes Mellitus: Thematic Synthesis of Qualitative Studies.

Background: Social media have shown the potential to support type 1 diabetes self-management by providing informational, emotional, and peer-to-peer support. However, the perceptions of young people and health care professionals' (HCPs) toward the use of social media for type 1 diabetes self-management have not been systematically reviewed.

Objective: The aim of this study is to explore and summarize the experiences and views of young people with type 1 diabetes and their HCPs on using social media for self-management across qualitative findings.

The development and validation of a needs assessment tool for use with YOUng adult survivors of a CentrAl Nervous system tumor (YOU-CAN).

Background: Adolescent and young adult (AYA) survivors of a central nervous system (CNS) tumor represent a vulnerable group who can experience: social isolation, low rates of employment, and achieving independence can be compromised, leading to poorer quality of life compared with survivors of other cancer types. The aim of this study is to develop and evaluate the validity of a needs assessment tool (NAT) for AYA survivors of a CNS tumor.

Methods: Items generated using data from 29 qualitative studies and cognitive interviews ( = 8) produced NAT V1.

Reliability, validity, and responsiveness of a smartphone-based manikin to support pain self-reporting.

Introduction: Many people worldwide suffer from chronic pain. Improving our knowledge on chronic pain prevalence and management requires methods to collect pain self-reports in large populations. Smartphone-based tools could aid data collection by allowing people to use their own device, but the measurement properties of such tools are largely unknown.

Users' views on the use of a smartwatch app to collect daily symptom data in individuals with multiple long-term conditions (Multimorbidity): A qualitative study.

Introduction: Long-term conditions are a major burden on health systems. One way to facilitate more research and better clinical care among patients with long-term conditions is to collect accurate data on their daily symptoms (patient-generated health data) using wearable technologies. Whilst evidence is growing for the use of wearable technologies in single conditions, there is less evidence of the utility of frequent symptom tracking in those who have more than one condition.