Literature DB >> 27713649

Smartphone applications for chronic pain management: a critical appraisal.

John C Alexander1, Girish P Joshi1.   

Abstract

Entities:  

Year:  2016        PMID: 27713649      PMCID: PMC5045217          DOI: 10.2147/JPR.S119966

Source DB:  PubMed          Journal:  J Pain Res        ISSN: 1178-7090            Impact factor:   3.133


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Chronic pain is a common condition with significant detrimental physical, psychological, social, and economic impact. The Institute of Medicine estimates that >100 million Americans suffer from chronic pain,1 representing approximately one-third of the entire population of the US.2 Conservative estimates suggest that well over US $500 billion per year is spent in the treatment of these pain conditions, not to mention the lost productivity of these individuals or the burden that their suffering engenders for patients and their families. Despite tremendous efforts, chronic pain continues to be a major societal problem.1 Smartphones have become one of the most rapidly adopted technologies in the modern history of mankind allowing for previously unimaginable opportunities for communication and access to information.3 Powering this societal revolution is not so much the onboard or attachable hardware for smartphones, but the dizzying array of software programs that use the hardware to add novel functions; we call the unifying software programs “applications” or, more commonly, “apps”. While each phone comes with onboard technologies, such as Wi-Fi, Bluetooth, lights, microphones, cameras, accelerometers, and even barometers, it is the development of the app that combines these functionalities to create new and innovative uses for the same hardware for everything from Skype4 to Pokémon GO.5 The use of such applications within the health care industry continues to grow, and it is estimated that the market for mobile health apps will grow to US$26 billion in 2017.6 The immense size of this market is due to the functional flexibility that apps can provide. These emerging technologies also provide new opportunities to engage with patients and improve health care outcomes. Studies have shown that mobile phone messaging helps to improve patient engagement outside the clinic or hospital and facilitates self-management of chronic diseases such as hypertension, diabetes, and asthma,7 and app-based systems may also be of use in this regard. While the overall market for apps in health care is robust, the market segment for pain management is less than impressive. It is clear that pain is a complex phenomenon and thus requires a multifaceted and multidisciplinary approach to achieve optimal outcomes. Of the several pain management approaches, the biopsychosocial components to the pain experience have been shown to be the most effective means of treating chronic pain, yet they are underutilized.8 New technologies such as the smartphone apps that have come into existence may help close the gap in utilization of these evidence-based treatments. In considering the current and potential market for pain management apps, one must take into account that some apps should be targeted to patients, while others should be targeted to health care professionals. The most basic provider-focused apps would simply serve as a reference giving factual information on variety of topics. Such apps could be used to enhance disease-specific knowledge and provide evidence-based treatment options including their limitations. A layer of functionality can also be added where decision support tools are added to improve adherence to evidence-based clinical practice guidelines.9 Patient-facing apps could provide the most benefits. Such apps would seek to engage patients in between (or perhaps instead of) traditional outpatient visits and empower them to take a more active role in the management of their ailment, to improve pain relief, to facilitate functioning, and to return to daily living. Thus, pain management apps should integrate biological processes, psychological factors, and sociocultural factors. Strategies to cope with symptoms (eg, cognitive behavioral therapies) and engage in social support are needed to promote optimal outcomes. Electronic diaries have been shown to improve compliance and decrease the risk of recall bias compared with the standard retrospective pain assessment performed in clinical encounters.10 Point-of-care social support apps would be particularly useful as strong peer relationships are predictive of positive judgments of independence, emotional adjustment, and identity formation. Self-management involves interaction of health behaviors and related processes that patients and families engage in to care for a chronic condition. Self-management apps seek to intervene to provide the ability to manage the multidimensional aspects of chronic pain. In addition, comprehensive interactive face-to-face psychoeducational interventions lead to symptom reduction and improved health-related quality of life compared with care that is strictly medication focused, with a postulated mechanism being enhanced self-efficacy and empowerment over disease and symptom management. Compliance with such face-to-face encounters can be difficult to perform on a routine basis due to cost and time constraints, but remote delivery of such services has been shown to improve outcomes in pediatric chronic pain populations.11 If these types of apps can drive better outcomes for chronic diseases without requiring face-to-face patient interactions, then they may become a valuable means of driving down the overall cost of patient care.12 Recent surveys show that while only 10% of patients utilize such virtual care services, >60% would be open to utilizing virtual care services through these technologies, which may help improve patient engagement outside the clinic or hospital.13 Several studies have attempted to ascertain both the quantity and quality of apps marketed to improve chronic pain.14–16 The conclusions of the authors are remarkably similar over time. First, the vast majority of apps did not follow evidence-based guidelines, thus calling the function of the app into question. This is likely related to the second common conclusion of these studies that health care providers were rarely involved in the development of these apps. If clinicians are not leveraging their expertise into the development of such apps, then it is unsurprising that the content is not clinically useful. The final common critique is that, unlike in the pharmaceutical or medical device industries, there is a lack of peer-reviewed validation studies for the purported functionalities of commercially available applications. This is not a problem unique to the pain management app market segment, though. Smartphone-based health care apps have been largely passed over by the US Food and Drug Administration (FDA) with regard to regulation due in part to a desire to allow innovation to flourish.17 It is unlikely that the FDA will ever take a leading role in the regulation of this market. First and foremost, it is not within the FDA’s jurisdiction to regulate most of the apps that are available to consumers. In 2015, the FDA published a statement to clarify its position on the status of what it terms “mobile medical apps” and further defines them as mobile device software applications intended to be used as a medical device or to transform a platform into a medical device but further refined its position stating that it intends to exercise its “regulatory oversight only to those mobile medical apps that are medical devices and whose functionality could pose a risk to patient safety”. For instance, the FDA lists the sorts of apps for which it intends to “exercise enforcement discretion” (ie, not yet require FDA approval). These include mobile medical apps that provide tracking or organizing functions of health care data, routine clinical calculators, or access to reference data. The focus of the FDA’s regulatory oversight is for those mobile medical apps that “use a sensor or electrode attached to the mobile platform or tools within the mobile platform itself ” for specific functions that could pose a risk to patient safety if a malfunction were to occur.18 Second, there are simply too many apps to regulate. The ease with which applications can be created outstrips the ability of any agency to adequately regulate this industry. By some estimates, there may be >165,000 health care-related apps available to consumers.19 This lack of regulation leaves validation in the hands of the medical community. While there are some small studies attempting to validate some of the more popular health care smartphone apps,20,21 such studies are lacking in the pain management market segment. These critiques, though, give a blueprint for a means by which those of us who care for patients with chronic pain may help develop and validate apps for clinical use. In the same way that health care providers would likely be unable to create usable apps, the evidence seems to indicate that developers are not able to make clinically relevant apps. The collaboration of developers with health care providers, though, will help to ensure that apps are both usable by consumers and contain clinically valid data utilizing evidence-based guidelines. Another critique is the lack of validation of apps in peer-reviewed literature. There are several recent examples where protocols or development strategies for proposed pain apps were published for peer-review,22–24 but validation studies of completed pain management apps remain the exception rather than the rule.10 Thus, while we see the possible utility of smartphone apps in pursuit of the goal of improved engagement with pain patients leading to better outcomes, much work remains to be done to ensure such apps are developed with a strong basis in evidence-based guidelines and validated through robust, peer-reviewed studies.
  12 in total

1.  Development and testing of painometer: a smartphone app to assess pain intensity.

Authors:  Rocío de la Vega; Roman Roset; Elena Castarlenas; Elisabet Sánchez-Rodríguez; Ester Solé; Jordi Miró
Journal:  J Pain       Date:  2014-05-20       Impact factor: 5.820

2.  A Smartphone-based Decision Support Tool Improves Test Performance Concerning Application of the Guidelines for Managing Regional Anesthesia in the Patient Receiving Antithrombotic or Thrombolytic Therapy.

Authors:  Matthew D McEvoy; William R Hand; Marjorie P Stiegler; Amy N DiLorenzo; Jesse M Ehrenfeld; Kenneth R Moran; Robert Lekowski; Mark E Nunnally; Erin L Manning; Yaping Shi; Matthew S Shotwell; Rajnish K Gupta; John M Corey; Randall M Schell
Journal:  Anesthesiology       Date:  2016-01       Impact factor: 7.892

Review 3.  Mobile phone messaging for facilitating self-management of long-term illnesses.

Authors:  Thyra de Jongh; Ipek Gurol-Urganci; Vlasta Vodopivec-Jamsek; Josip Car; Rifat Atun
Journal:  Cochrane Database Syst Rev       Date:  2012-12-12

4.  Comparison of smartphone application-based vital sign monitors without external hardware versus those used in clinical practice: a prospective trial.

Authors:  John C Alexander; Abu Minhajuddin; Girish P Joshi
Journal:  J Clin Monit Comput       Date:  2016-05-12       Impact factor: 2.502

Review 5.  Smartphone applications for pain management.

Authors:  Benjamin A Rosser; Christopher Eccleston
Journal:  J Telemed Telecare       Date:  2011-08-15       Impact factor: 6.184

Review 6.  Psychological therapies (remotely delivered) for the management of chronic and recurrent pain in children and adolescents.

Authors:  Emma Fisher; Emily Law; Tonya M Palermo; Christopher Eccleston
Journal:  Cochrane Database Syst Rev       Date:  2015-03-23

7.  Validation of the Instant Blood Pressure Smartphone App.

Authors:  Timothy B Plante; Bruno Urrea; Zane T MacFarlane; Roger S Blumenthal; Edgar R Miller; Lawrence J Appel; Seth S Martin
Journal:  JAMA Intern Med       Date:  2016-05-01       Impact factor: 21.873

8.  Effectiveness of app-based relaxation for patients with chronic low back pain (Relaxback) and chronic neck pain (Relaxneck): study protocol for two randomized pragmatic trials.

Authors:  Susanne Blödt; Daniel Pach; Stephanie Roll; Claudia M Witt
Journal:  Trials       Date:  2014-12-15       Impact factor: 2.279

9.  Assessing the quality and usability of smartphone apps for pain self-management.

Authors:  Charmian Reynoldson; Catherine Stones; Matthew Allsop; Peter Gardner; Michael I Bennett; S José Closs; Rick Jones; Peter Knapp
Journal:  Pain Med       Date:  2014-01-14       Impact factor: 3.750

10.  iCanCope with Pain™: User-centred design of a web- and mobile-based self-management program for youth with chronic pain based on identified health care needs.

Authors:  Jennifer N Stinson; Chitra Lalloo; Lauren Harris; Lisa Isaac; Fiona Campbell; Stephen Brown; Danielle Ruskin; Allan Gordon; Marilyn Galonski; Leah R Pink; Norman Buckley; James Lorne Henry; Meghan White; Allia Karim
Journal:  Pain Res Manag       Date:  2014-07-07       Impact factor: 3.037

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  15 in total

Review 1.  An integrative review of personalized feedback interventions for pain and alcohol.

Authors:  Jessica M Powers; Michael J Zvolensky; Joseph W Ditre
Journal:  Curr Opin Psychol       Date:  2019-01-30

Review 2.  Do pain management apps use evidence-based psychological components? A systematic review of app content and quality.

Authors:  Megan MacPherson; A Myfanwy Bakker; Koby Anderson; Susan Holtzman
Journal:  Can J Pain       Date:  2022-06-03

Review 3.  Smartphone Applications Designed to Improve Older People's Chronic Pain Management: An Integrated Systematic Review.

Authors:  Margaret Dunham; Antonio Bonacaro; Patricia Schofield; Liz Bacon; Fotios Spyridonis; Hadi Mehrpouya
Journal:  Geriatrics (Basel)       Date:  2021-04-08

4.  Behavioral cancer pain intervention using videoconferencing and a mobile application for medically underserved patients: Rationale, design, and methods of a prospective multisite randomized controlled trial.

Authors:  Sarah A Kelleher; Joseph G Winger; Hannah M Fisher; Shannon N Miller; Shelby D Reed; Beverly E Thorn; Bonnie Spring; Gregory P Samsa; Catherine M Majestic; Rebecca A Shelby; Linda M Sutton; Francis J Keefe; Tamara J Somers
Journal:  Contemp Clin Trials       Date:  2021-01-23       Impact factor: 2.261

5.  The Integration of Technology into Treatment Programs to Aid in the Reduction of Chronic Pain.

Authors:  Chad Eckard; Caitlyn Asbury; Brandon Bolduc; Chelsea Camerlengo; Julia Gotthardt; Lauren Healy; Laura Waialae; Ceirra Zeigler; Jennifer Childers; Joseph Horzempa
Journal:  J Pain Manag Med       Date:  2016-12-31

6.  Pain Self-Management for Veterans: Development and Pilot Test of a Stage-Based Mobile-Optimized Intervention.

Authors:  Sara S Johnson; Deborah A Levesque; Lynne E Broderick; Dustin G Bailey; Robert D Kerns
Journal:  JMIR Med Inform       Date:  2017-10-17

7.  On-site multi-component intervention to improve productivity and reduce the economic and personal burden of neck pain in Swiss office-workers (NEXpro): protocol for a cluster-randomized controlled trial.

Authors:  Andrea M Aegerter; Manja Deforth; Venerina Johnston; Markus J Ernst; Thomas Volken; Hannu Luomajoki; Beatrice Brunner; Julia Dratva; Gisela Sjøgaard; Achim Elfering; Markus Melloh
Journal:  BMC Musculoskelet Disord       Date:  2020-06-19       Impact factor: 2.362

8.  Effectiveness of mindfulness by smartphone, for patients with chronic migraine and medication overuse during the Covid-19 emergency.

Authors:  Licia Grazzi; Paul Rizzoli; Frank Andrasik
Journal:  Neurol Sci       Date:  2020-12       Impact factor: 3.307

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

Authors:  John Bedson; Jonathon Hill; David White; Ying Chen; Simon Wathall; Stephen Dent; Kendra Cooke; Danielle van der Windt
Journal:  BMC Med Inform Decis Mak       Date:  2019-01-25       Impact factor: 2.796

10.  Current level of technology use, health and eHealth literacy in older Canadians with a recent fracture-a survey in orthopedic clinics.

Authors:  C Cherid; A Baghdadli; M Wall; N E Mayo; G Berry; E J Harvey; A Albers; S G Bergeron; S N Morin
Journal:  Osteoporos Int       Date:  2020-02-28       Impact factor: 4.507

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