ArticleJournal of pain management & medicine2016
The Integration of Technology into Treatment Programs to Aid in the Reduction of Chronic Pain.
Article in Journal of pain management & medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 25 citations in OpenAlex.
- AQP4 is an Emerging Regulator of Pathological Pain: A Narrative Review.Cellular and molecular neurobiology · 2023Review
- Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective.Frontiers in physiology · 2021Article
- An integrative review of personalized feedback interventions for pain and alcohol.Current opinion in psychology · 2019Review
- Understanding patterns and correlates of daily pain using the Sickle cell disease Mobile Application to Record Symptoms via Technology (SMART).British journal of haematology · 2018Article
- Computer-Assisted Cognitive-Behavior Therapy in Medical Care Settings.Current psychiatry reports · 2018Review
- Building partnerships: a pilot study of stakeholders' attitudes on technology disruption in behavioral health delivery and research.Translational behavioral medicine · 2017Article
- The Effectiveness of Internet-Based Cognitive Behavioral Therapy in Treatment of Psychiatric Disorders.Cureus · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
In the United States, roughly $600 billion is spent on pain management - usually in the form of addictive opioid drugs. Due to the dangers associated with long-term opiate-based pain medication, the development of additional strategies for chronic pain management is warranted. The advent of smartphones and associated technology has provided healthcare providers with a unique opportunity to provide pain management support. This review summarizes of the use of technology to supplement chronic pain management regimens. Smartphone and internet-based applications that employ online journals facilitate improved communication between patient and clinician and allow for more personalized care and improved pain management. For instance, the e-Ouch application provides a platform for pain logs as well as feedback and coaching to patients via Twitter postings and blogs. Other applications provide online resources and blogs to improve patient education, which has shown to relieve patient symptoms through lifestyle modification. Internet-delivered cognitive behavioral therapy (CBT) focuses on the psychological coping mechanisms. The application of technology and smartphone apps toward pain management shows promise toward reducing the use of opioids in pain management, but has yet to be incorporated as a standard practice. More robust studies critically evaluating the efficacy of these technology-based therapies need to be conducted before standardization and insurance coverage can become reality.
Indexed as
Identifiers
28149962PMC5279929W2583627855What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.