Systematic evaluation of commercially available pain management apps examining behavior change techniques

Tracking ambivalence: an existential critique of datafication in the context of chronic pain

In recent years, data-driven approaches to chronic pain care have increased dramatically. However, people living with chronic pain are ambivalent about datafication practices. Drawing on in-depth interviews with individuals living with chronic pain, I discuss and analyze this ambivalence. On the one hand, participants imbibe the promissory rhetoric of data as that which may organize and control the body in pain. On the other hand, they dismiss and critique the type of data collected. This micro-level analysis of the pain tracking experience illuminates a tension between datafication and chronic pain. Datafication demands that the patient relay information about their body that is free of ambiguity. However, chronic pain is ambiguous and full of paradox. This article illuminates the emotional chasm between datafication enthusiasts and chronic pain patients who track their pain and suggests that such enthusiasm may lead to bad faith.

Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study

Background

Chronic pain is widespread and carries a heavy disease burden, and there is a lack of effective outpatient pain management. As an emerging internet medical platform in China, internet hospitals have been successfully applied for the management of chronic diseases. There are also a certain number of patients with chronic pain that use internet hospitals for pain management. However, no studies have investigated the effectiveness of pain management via internet hospitals.

Objective

The aim of this retrospective cohort study was to explore the effectiveness of chronic pain management by internet hospitals and their advantages and disadvantages compared to traditional physical hospital visits.

Methods

This was a retrospective cohort study. Demographic information such as the patient's sex, age, and number of visits was obtained from the IT center. During the first and last patient visits, information on outcome variables such as the Brief Pain Inventory (BPI), medical satisfaction, medical costs, and adverse drug events was obtained through a telephone follow-up. All patients with chronic pain who had 3 or more visits (internet or offline) between September 2021, and February 2023, were included. The patients were divided into an internet hospital group and a physical hospital group, according to whether they had web-based or in-person consultations, respectively. To control for confounding variables, propensity score matching was used to match the two groups. Matching variables included age, sex, diagnosis, and number of clinic visits.

Results

A total of 122 people in the internet hospital group and 739 people in the physical hospital group met the inclusion criteria. After propensity score matching, 77 patients in each of the two groups were included in the analysis. There was not a significant difference in the quality of life (QOL; QOL assessment was part of the BPI scale) between the internet hospital group and the physical hospital group (P=.80), but the QOL of both groups of patients improved after pain management (internet hospital group: P<.001; physical hospital group: P=.001). There were no significant differences in the pain relief rate (P=.25) or the incidence of adverse events (P=.60) between the two groups. The total cost (P<.001) and treatment-related cost (P<.001) of the physical hospital group were higher than those of the internet hospital group. In addition, the degree of satisfaction in the internet hospital group was greater than that in the physical hospital group (P=.01).

Conclusions

Internet hospitals are an effective way of managing chronic pain. They can improve patients' QOL and satisfaction, reduce treatment costs, and can be used as part of a multimodal strategy for chronic pain self-management.

Digital Health and Self-Management in Idiopathic Inflammatory Myopathies: A Missed Opportunity?

PURPOSE OF REVIEW

This paper explored the potential of digital health in idiopathic inflammatory myopathies (IIMs), with a focus on self-management. Digital self-management technology includes tailored treatment plans, symptom tracking, educational resources, enhanced communication, and support for long-term planning.

RECENT FINDINGS

After arguing the importance of digital health in IIMs management, from diagnosis until treatment, our literature review revealed a notable gap in research focusing on the efficacy of digital self-management interventions for individuals with IIMs, with no randomised controlled trials or observational studies addressing this topic. Our review further highlighted the significant unmet need for research in self-management interventions for individuals with IIMs. The absence of studies underscores the necessity for collaborative efforts to address this gap and develop personalised, effective strategies for managing IIMs using digital technology. Individuals with IIMs deserve tailored self-management approaches akin to those available for other rheumatic and musculoskeletal diseases.

Sleep mHealth Applications and Behavior Change Techniques Evaluation

OBJECTIVES

Mobile health apps may be an effective way to increase sleep management skills. Although little has been documented about the content and quality of available sleep management apps, providers often make app recommendations to help with sleep self-management. The objective of this study was to systematically evaluate the content and quality of commercially available sleep apps.

METHODS

Following a systematic search of the Apple App and Google Play stores, 56 sleep management apps were evaluated. App content was evaluated using the taxonomy of behavior change techniques (BCTs), and app quality was assessed using the Mobile App Rating Scale.

RESULTS

Sleep management apps included 0-15 BCTs (M = 6.89) and 0-9 sleep BCTs (M = 4.87). App quality ranged from 2.51 to 4.80 (M = 3.78) out of 5.00. Sleepiest Sleep Sounds Stories, ShutEye: Sleep Tracker, and Mintal Tracker: Sleep Recorder included the highest number of sleep BCTs and highest quality scores.

CONCLUSIONS

While the content and quality of sleep management apps is variable, the findings are promising as many apps included a high number of BCTs and high quality. Although evidence of efficacy through randomized controlled trials is necessary to establish efficacy, this review can aid in app selection in the interim.

Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation

Background

Mobile apps offer a potential mechanism for people with persistent pain to monitor pain levels conveniently within their own environment and for clinicians to remotely monitor their patients' pain. However, the quality of currently available apps and the usefulness of included features from a clinical perspective are not known.

Objective

The aim of this study was to examine the content and quality of currently available smartphone apps designed for monitoring the intensity or presence of musculoskeletal or neuropathic pain.

Methods

A systematic search was performed in the Australian Apple and Google Play stores. Apps were included if they were designed to monitor the intensity or presence of musculoskeletal or neuropathic pain and were available in the English language within the Australian app stores. Data pertaining to the intended use of the app and clinical population were extracted by using a custom-designed data extraction form, and app quality was assessed by using the 23-item Mobile App Rating Scale.

Results

Of the 2190 apps screened, 49 met the inclusion criteria. Apps were primarily designed for adult users (36/49, 73%) with nonspecific musculoskeletal or neuropathic pain conditions, arthritis, and joint pain. All apps monitored pain intensity, with almost half (23/49, 47%) also specifying pain location. Overall, the mean quality scores from the Mobile App Rating Scale ranged from 1.5 to 4.4 (out of 5.0). Between 20% (10/49) and 22% (11/49) of apps involved clinicians, consumers, or both in their development, and 20% (10/49) had published literature related to the development or use of the app in clinical scenarios. Although 71% (35/49) had data sharing features, only 5 apps enabled client-clinician communication through the app.

Conclusions

The overall quality of mobile apps that are currently available for monitoring pain intensity is acceptable. Presently, mobile apps for remote pain monitoring lack functionality for clinicians to view data between consults. Both users and clinicians should be aware of the limitations of these apps and make informed choices in using or recommending apps that best suit the clinical need.

Analysis of pain research literature through keyword Co-occurrence networks

Pain is a significant public health problem as the number of individuals with a history of pain globally keeps growing. In response, many synergistic research areas have been coming together to address pain-related issues. This work reviews and analyzes a vast body of pain-related literature using the keyword co-occurrence network (KCN) methodology. In this method, a set of KCNs is constructed by treating keywords as nodes and the co-occurrence of keywords as links between the nodes. Since keywords represent the knowledge components of research articles, analysis of KCNs will reveal the knowledge structure and research trends in the literature. This study extracted and analyzed keywords from 264,560 pain-related research articles indexed in IEEE, PubMed, Engineering Village, and Web of Science published between 2002 and 2021. We observed rapid growth in pain literature in the last two decades: the number of articles has grown nearly threefold, and the number of keywords has grown by a factor of 7. We identified emerging and declining research trends in sensors/methods, biomedical, and treatment tracks. We also extracted the most frequently co-occurring keyword pairs and clusters to help researchers recognize the synergies among different pain-related topics.

Use of Behavior Change Techniques and Quality of Commercially Available Inflammatory Bowel Disease Apps

BACKGROUND

Inclusion of evidence-based behavior change techniques (e.g., self-monitoring) in mobile health apps has the potential to promote adherence to inflammatory bowel disease treatment. While inflammatory bowel disease management apps exist, the extent to which they incorporate behavior change techniques remains unknown.

AIMS

The present study systematically evaluated the content and quality of free, commercially available inflammatory bowel disease management apps.

METHODS

Apps were identified using a systematic search of the Apple App and Google Play stores. Apps were evaluated using Abraham and Michie's taxonomy of 26 behavior change techniques. A literature search was conducted to identify behavior change techniques specific and relevant for people with inflammatory bowel disease. App quality was assessed using the Mobile App Rating Scale with scores ranging from 1 (Inadequate) to 5 (Excellent).

RESULTS

A total of 51 inflammatory bowel disease management apps were evaluated. Apps included 0-16 behavior change techniques (Mean = 4.55) and 0-10 inflammatory bowel disease management behavior change techniques (Mean = 3.43). App quality ranged from 2.03 to 4.62 (Mean = 3.39) out of 5.00. Two apps, My IBD Care: Crohn's & Colitis and MyGiHealth GI Symptom Tracker, included the highest number of overall and inflammatory bowel disease management behavior change techniques along with high-quality scores. Bezzy IBD was the only app with a high number of overall and inflammatory bowel disease management behavior change techniques with a primary focus on social support/change.

CONCLUSION

Most inflammatory bowel disease management apps reviewed included evidence-based inflammatory bowel disease management behavior change techniques.

Do pain management apps use evidence-based psychological components? A systematic review of app content and quality

Background

With hundreds of pain management apps on the Canadian marketplace, it can be challenging for patients and clinicians to select effective and evidence-based mobile health (mHealth) apps that address pain from a biopsychosocial perspective.

Aims

The aim of this study is to identify pain management apps within the Canadian app marketplaces to aid clinicians in recommending apps.

Methods

The iOS and Android marketplaces were systematically searched to identify pain management apps that included at least one core component of cognitive behavioral therapy (CBT) or mindfulness- and acceptance-based therapies. Selected apps were assessed using a researcher developed psychological components checklist, and the Mobile App Rating Scale (MARS). These two measures provided a robust assessment of the apps' technical abilities and psychological principles being implemented.

Results

Five hundred eight pain management apps were identified, yet only 12 included a psychological component and were available for evaluation. On average, apps contained 8.10 out of 18 psychological components (SD = 2.77) with a MARS quality rating of 4.02 out of 5 (SD = 0.32). The most common psychological components were grounded in CBT, including psychoeducation, sleep hygiene, behavioral activation, coping skills training, and social support. Among the least commonly included components were goal setting, values, and culture/diversity. Two-thirds of the apps involved health care practitioners in their development, but independent scientific review of apps was scarce.

Conclusion

The highest scoring apps (Curable, Pathways, Vivify) are highlighted for health care practitioners who may wish to recommend mHealth technologies to their patients for pain management. Future directions for research and app development are discussed.

Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

Background

The successful rehabilitation of musculoskeletal pain requires more than medical input alone. Conservative treatment, including physiotherapy and exercise therapy, can be an effective way of decreasing pain associated with musculoskeletal pain. However, face-to-face appointments are currently not feasible. New mobile technologies, such as mobile health technologies in the form of an app for smartphones, can be a solution to this problem. In many cases, these apps are not backed by scientific literature. Therefore, it is important that they are reviewed and quality assessed.

Objective

The aim is to evaluate and measure the quality of apps related to shoulder pain by using the Mobile App Rating Scale.

Methods

This study included 25 free and paid apps—8 from the Apple Store and 17 from the Google Play Store. A total of 5 reviewers were involved in the evaluation process. A descriptive analysis of the Mobile App Rating Scale results provided a general overview of the quality of the apps.

Results

Overall, app quality was generally low, with an average star rating of 1.97 out of 5. The best scores were in the “Functionality” and “Aesthetics” sections, and apps were scored poorer in the “Engagement” and “Information” sections. The apps were also rated poorly in the “Subjective Quality” section.

Conclusions

In general, the apps were well built technically and were aesthetically pleasing. However, the apps failed to provide quality information to users, which resulted in a lack of engagement. Most of the apps were not backed by scientific literature (24/25, 96%), and those that contained scientific references were vastly out-of-date. Future apps would need to address these concerns while taking simple measures to ensure quality control.

A systematic evaluation of primary headache management apps leveraging behavior change techniques

BACKGROUND

Mobile health apps have the potential to promote adherence to headache management through the use of evidence-based behavior change techniques (e.g., self-monitoring). While many headache management apps exist, the extent to which these apps include behavior change techniques remains unknown. Thus, the present study systematically evaluated the content and quality of commercially available headache management apps.

METHODS

Headache apps were identified using a systematic search in the Apple App and Google Play stores. A total of 55 apps were evaluated using the taxonomy of behavior change techniques and app quality using the Mobile App Rating Scale.

RESULTS

Headache management apps included 0-14 behavior change techniques (Mean [M] = 5.89) and 0-8 headache management behavior change techniques (M = 4.29). App quality ranged from 2.84-4.67 (M = 3.73) out of 5.00. Three apps, Migraine Trainer, Easeday: Headache & Migraine, and PainScale, included the highest number of overall and headache management behavior change techniques along with good quality scores.

CONCLUSIONS

While randomized controlled trials are necessary to determine the efficacy of individual headache apps, most existing apps include evidence-based headache management behavior change techniques. Headache apps often focus on either self-monitoring or stress management via relaxation training, suggesting that patients' needs should be used to inform app selection.

Psychological Interventions for Pediatric Headache Disorders: A 2021 Update on Research Progress and Needs

PURPOSE OF REVIEW

This review summarizes key findings from recent investigations of psychological interventions for pediatric headache disorders and discusses important avenues for future research.

RECENT FINDINGS

Cognitive Behavioral Therapy (CBT) is effective in reducing headache days among youth with chronic headache. There is mixed evidence for the benefit of CBT on reducing disability associated with migraine, suggesting that there is room to optimize CBT by leveraging complementary or alternative psychological interventions, such as Acceptance and Commitment Therapy (ACT) and mindfulness-based approaches. Tailoring CBT may be especially important for youth with more impairing or complex clinical presentations, such as those with continuous headache. Using eHealth and novel study designs to expand access to and dissemination of psychological interventions is promising. Although CBT is the gold standard psychological treatment for youth with migraine, we are only beginning to understand how and why it is effective. Other promising psychological treatments are available, and studies are beginning to examine how CBT can be optimized to fit the unique needs of each patient. Improving access and equitability of care for youth with migraine will require tailoring psychological treatments for patients with varying headache presentations and youth from a variety of cultural, racial, ethnic, and linguistic backgrounds.

Multimodal Assessment of Medication Adherence Among Youth With Migraine: An Ancillary Study of the CHAMP Trial

OBJECTIVE

Examine preventive medication adherence among youth with migraine.

METHODS

Adherence (self-report, pill count, and blood serum drug levels) was assessed as an ancillary study that utilized data from 328 CHAMP Study participants (ages 8-17). CHAMP was a multisite trial of preventive medications. Participants completed a prospective headache diary during a six-month active treatment period during which youth took amitriptyline, topiramate, or placebo pill twice daily. Self-reported medication adherence was collected via daily diary. At monthly study visits, pill count measures were captured. At trial month 3 (trial midpoint) and 6 (end of active trial), blood serum drug levels were obtained. Self-report and pill count adherence percentages were calculated for the active trial period, at each monthly study visit, and in the days prior to participants' mid-trial blood draw. Percentages of nonzero drug levels were calculated to assess blood serum drug level data. Adherence measures were compared and assessed in context of several sociodemographic factors. Multiple regression analyses investigated medication adherence as a predictor of headache outcomes.

RESULTS

Self-report and pill count adherence rates were high (over 90%) and sustained over the course of the trial period. Serum drug level adherence rates were somewhat lower and decreased significantly (from 84% to 76%) across the trial period [t (198) = 3.23, p = .001]. Adherence measures did not predict headache days at trial end; trial midpoint serum drug levels predicted headache-related disability.

CONCLUSIONS

Youth with migraine can demonstrate and sustain relatively high levels of medication adherence over the course of a clinical trial.

Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review

Background

There are several mobile health (mHealth) apps in mobile app stores. These apps enter the business-to-customer market with limited controls. Both, apps that users use autonomously and those designed to be recommended by practitioners require an end-user validation to minimize the risk of using apps that are ineffective or harmful. Prior studies have reviewed the most relevant aspects in a tool designed for assessing mHealth app quality, and different options have been developed for this purpose. However, the psychometric properties of the mHealth quality measurement tools, that is, the validity and reliability of the tools for their purpose, also need to be studied. The Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) initiative has developed tools for selecting the most suitable measurement instrument for health outcomes, and one of the main fields of study was their psychometric properties.

Objective

This study aims to address and psychometrically analyze, following the COSMIN guideline, the quality of the tools that are used to measure the quality of mHealth apps.

Methods

From February 1, 2019, to December 31, 2019, 2 reviewers searched PubMed and Embase databases, identifying mHealth app quality measurement tools and all the validation studies associated with each of them. For inclusion, the studies had to be meant to validate a tool designed to assess mHealth apps. Studies that used these tools for the assessment of mHealth apps but did not include any psychometric validation were excluded. The measurement tools were analyzed according to the 10 psychometric properties described in the COSMIN guideline. The dimensions and items analyzed in each tool were also analyzed.

Results

The initial search showed 3372 articles. Only 10 finally met the inclusion criteria and were chosen for analysis in this review, analyzing 8 measurement tools. Of these tools, 4 validated ≥5 psychometric properties defined in the COSMIN guideline. Although some of the tools only measure the usability dimension, other tools provide information such as engagement, esthetics, or functionality. Furthermore, 2 measurement tools, Mobile App Rating Scale and mHealth Apps Usability Questionnaire, have a user version, as well as a professional version.

Conclusions

The Health Information Technology Usability Evaluation Scale and the Measurement Scales for Perceived Usefulness and Perceived Ease of Use were the most validated tools, but they were very focused on usability. The Mobile App Rating Scale showed a moderate number of validated psychometric properties, measures a significant number of quality dimensions, and has been validated in a large number of mHealth apps, and its use is widespread. It is suggested that the continuation of the validation of this tool in other psychometric properties could provide an appropriate option for evaluating the quality of mHealth apps.

Effects of weekly pain monitoring on back pain outcomes: a non-randomised controlled study

BACKGROUND

Disease monitoring is an important element of self-management of several chronic diseases. Pain monitoring has become very easily available, but the role in musculoskeletal pain conditions is not clear. Awareness of pain might be helpful for people to understand pain, but focusing on pain may on the contrary negatively affect pain experience and behaviours. The objective of this study was to investigate the potential impact of pain monitoring on low back pain (LBP), specifically to determine if pain intensity, activity limitation and pain control, differed between patients with weekly pain monitoring over 12 months and patients with follow-ups at 2 weeks, 3 months and 12 months.

METHODS

This was a non-randomised controlled study embedded in a cohort study with data collection November 1st 2016 to December 21st 2018. Adults seeking care for LBP were enrolled at the first visit to a chiropractor and followed with surveys after 2 weeks, 3 months and 12 months. Those enrolled first, n = 1,623, furthermore received weekly SMS-questions about pain frequency and pain intensity, whereas those enrolled next was the control group, n = 1,269 followed only by surveys. Outcomes at 12-months were compared, adjusting for group differences on baseline parameters.

RESULTS

LBP intensity (0-10) was slightly lower at 12-months follow-up in the SMS group than the control group (adjusted beta - 0.40 (95% CI: - 0.62; - 0.19)). No relevant between-group differences were observed for activity limitation (0-100) (1.51 (95% CI: - 0.83; 3.85)) or ability to control pain (0-10) (- 0.08 (95% CI - 0.31; 0.15)).

CONCLUSIONS

Frequent pain monitoring did not demonstrate any negative effects of weekly pain monitoring, and it was perhaps even helpful. The role of self-monitoring as part of self-managing LBP should be explored further including optimal frequencies, formats, and methods for feedback.

TRIAL REGISTRATION

The study was not registered as a clinical trial.

mHealth Interventions to Support Prescription Opioid Tapering in Patients With Chronic Pain: Qualitative Study of Patients' Perspectives

BACKGROUND

Patients with chronic pain who are tapering prescription opioids report a need for greater support for coping with symptoms of pain and withdrawal. Mobile health (mHealth) technologies (SMS text messaging- or app-based) have the potential to provide patients with educational, emotional, and motivational support for opioid tapering beyond what is offered by their health care provider. However, it is not known whether patients with chronic pain who are tapering opioids would be willing or able to engage with technology-based support.

OBJECTIVE

This study aims to examine patients' use of mobile technologies in health care, interest in using mHealth support, preferences for the form and content of mHealth support, and potential barriers to and facilitators of engagement with mHealth support for opioid tapering.

METHODS

A total of 21 patients (11 women and 10 men; age range 29-83 years) with chronic noncancer pain on long-term opioid therapy who had recently initiated a voluntary opioid taper were recruited from primary and tertiary care clinics in metropolitan and regional Australia for a larger study of patients' experiences of opioid tapering. Participants had been taking prescription opioids for a mean duration of 13 (SD 9.6; range 0.25-30) years at the time of the study. Survey items characterized participants' typical mobile phone use and level of interest in mobile technology-based support for opioid tapering. Semistructured interviews further explored patients' use of mobile technologies and their interest in, preferences for, and perspectives on potential barriers to and facilitators of engagement with mHealth support for opioid tapering. Two researchers collaborated to conduct a thematic analysis of the interview data.

RESULTS

All participants reported owning and using a mobile phone, and most (17/21, 81%) participants reported using mobile apps. The majority of participants expressed interest in SMS text messaging-based (17/21, 81%) and app-based (15/21, 71%) support for opioid tapering. Participants expected that messages delivering both informational and socioemotional support would be helpful. Participants expected that access to technology, mobile reception, internet connectivity, vision impairment, and low self-efficacy for using apps may be barriers to user engagement. Patients expected that continuity of care from their health care provider, flexible message dosing, responsivity, and familiarity with pain self-management strategies would increase user engagement.

CONCLUSIONS

The results of this study indicate that patients with chronic noncancer pain may be willing to engage with SMS text messaging-based and app-based mHealth interventions to support opioid tapering. However, the feasibility and acceptability of these interventions may depend on how patients' preferences for functionality, content, and design are addressed.