Efficacy of a Smartphone App for Chronic Pain Management

The present investigation aims at exploring the effect of including a pain app called Pain Monitor for chronic pain patients' daily monitoring. Two conditions will be set: usual treatment + app (without alarms) usual treatment + app (with alarms)

Chronic pain is defined as one that lasts for at least three to six months, provided that this time is greater than the normal healing period of an injury. This pathology has become an important public health problem due to its high prevalence. In particular, it is estimated that it affects 20-30% of the adult population around the world. Medical interventions are the first-line treatment in recent clinical practice guidelines. Unfortunately, the effectiveness of medical interventions is only modest. Treatments significantly reduce pain on average, but the effect tends to be small. In addition, the drugs are not effective for a large percentage of patients. What these and other research suggest is that focusing only on large sample studies and the use of average change scores calls into question the usefulness of current patient-centered treatments. As noted by Dr. Turk, when data are averaged, various pain syndromes, drugs, surgical procedures, and studies in different countries are often included, which may mask the efficacy results of different treatments with Different samples. Single case methodology could be one of the ways to overcome these limitations. The single case investigation is a type of experimental study that offers experimental control within a single case. Some studies have already demonstrated the usefulness of these designs in chronic pain. In fact, the benefits of using this methodology as opposed to large sample studies were discussed recently during the 10th Congress of the European Pain Federation. These benefits include the need for a reduced number of participants, the ability to follow clinical evolution in real time and continuously, the amount of data provided, and applicability when using a control group is impractical or unethical. The investigators conducting the present investigation recently conducted a study at the Pain Unit of the Vall d'Hebron Hospital to explore the effectiveness of current medical treatments. According to previous investigations, the treatment effect was only small (d = 0.32) and only a percentage of the patients (18.1%) had a clinically significant reduction of pain (ie a reduction greater than 30% ). From these results and the literature reviewed, a single case design could be an alternative method for research in the Pain Unit. However, the implementation of this type of methodology can be very costly due to the continuous evaluation of the evolution of the patient. In this sense, several studies have already shown that mobile applications (app) can effectively control the evolution of a wide range of pathologies in health settings. In fact, a recent controlled clinical study found that ecological records performed with mobile app had greater reliability than paper-and-pencil records. Rosser and Eccleston conducted a comprehensive review of existing apps for pain and the conclusion was that there was little evidence to support the use of current apps. Specifically, these authors showed that most apps did not specify whether their content was validated, did not include psychological components and none had been applied in a clinical study. In light of these results, Dr. Carlos Suso Ribera and Dr. Ribera Canudas contacted the research team Labpsitec of Jaume I University, who were developing an application for pain called "Pain Monitor". Dr. Carlos Suso Ribera and Dr. Ribera Canudas of the Pain Unit collaborated with Dr. Azucena García Palacios and Dr. Diana Castilla López of the Universitat Jaume I in the final development of the application of pain, Following the guidelines of Rosser and Eccleston. App content validity and usability was tested in a previous study at the pain unit of the Vall d'Hebron Hospital. Thus, the study objective is to test if the introduction of this tool in the day-to-day work of the pain unit improves pain management of chronic pain patients. To do this, it is necessary to compare the evolution of patients who follow the usual treatment at the pain unit (without app) with a group of patients who do use the Pain Monitor app. In addition, the present study investigators have created a new utility that allows alarms to be generated by healthcare professionals in the presence of an undesired event, such as an adverse effect of the medication or a lack of response to medical treatment. Before determining that both the use of the app and this new utility (alarms) are beneficial for patient care, it is necessary to perform a clinical trial comparing the 3 conditions mentioned above: usual treatment + app (without alarms) usual treatment + app (with alarms) Therefore, this is a clinical trial without drugs. This is not an observational study since the physicians of patients in the app + alarms condition will be asked to react to an alarm (i.e., if the patient has nausea for 3 consecutive days) by calling the patient and changing the treatment telematically, if necessary, so that the patient can collect the prescription at his primary care center. If the condition app with alarms results in a better treatment of chronic pain patients, participants of the other two conditions will be offered the possibility to use the app with alarms at the end of the study. The study will be conducted at the Pain Unit of the Vall d'Hebron Hospital. All study procedures have been approved by the ethical committee of the Vall d'Hebron Hospital.

Participants at this condition will receive the usual medical treatment for their pain but also they will be monitored daily using the Pain Monitor app. Because alarms will not be generated, physicians will not know if an undesired event is occuring despite the app is actually collecting data.

Participants at this condition will receive the usual medical treatment for their pain but also they will be monitored daily using the Pain Monitor app. Alarms will be generated in the face of certain preestablished events. Physicians will be asked to call patients and change/stop treatment if an alarm is received.

Pain Monitor app has been developed by a multidisciplinary pain expert panel, including physicians, psychologists, and nurses. Content has been validated in a previous study and usability has been shown to be excellent.

A single item using an 11-point numerical rating response scale (0-10 range, with 0 indicating no pain and 10 reflecting worst possible pain) will be used to measure pain intensity

A single item using an 11-point numerical rating response scale (0-10 range, with 0 indicating no sadness and 10 reflecting most intense sadness) will be used to measure sadness

A single item using an 11-point numerical rating response scale (0-10 range, with 0 indicating no happiness and 10 reflecting most intense happiness) will be used to measure happiness

A single item using an 11-point numerical rating response scale (0-10 range, with 0 indicating no anxiety and 10 reflecting most intense anxiety) will be used to measure anxiety

A single item using an 11-point numerical rating response scale (0-10 range, with 0 indicating no anger and 10 reflecting most intense anger) will be used to measure anger

A single item using an 11-point numerical rating response scale (0-10 range, with 0 indicating no interference and 10 reflecting most intense interference) will be used to measure interference of pain in daily activities

A single item using an 11-point numerical rating response scale (0-10 range, with 0 indicating no interference and 10 reflecting most intense interference) will be used to measure interference of pain in sleep

Inclusion Criteria: The patient is over 18 years of age The patient has a mobile phone with Android operating system The patient has the physical ability to use the application The patient does not present psychological and / or cognitive alterations or problems with language that make their participation difficult The patient voluntarily wants to participate and signs the informed consent Exclusion Criteria: The patient is under 18 years The patient does not have a mobile phone or has a mobile phone in which Android is not the operating system (the app is currently only available for Android for economic reasons) The patient does not have the physical capacity to use the application The patient does not have the capacity to participate due to psychological and / or cognitive alterations or problems with language The patient does not want to participate