ArticleWorld neurosurgery2019
Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life.
Article in World neurosurgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.
- Can mHealth interventions improve quality of life of cancer patients? A systematic review and meta-analysis.Critical reviews in oncology/hematology · 2021Pooled it
- Digital Phenotyping in Health Research: Scoping Review of Methods, Gaps, and Opportunities.Journal of medical Internet research · 2026Article
- A Neurosurgeon's Guide to Mobile Health Application Development With a Case Study for Cervical Myelopathy.Neurosurgery · 2026Article
- Multidomain postoperative recovery trajectories after lumbar and thoracolumbar spine surgery.The spine journal : official journal of the North American Spine Society · 2025Observational
- Exploring the Relationship Between Smartphone GPS Patterns and Quality of Life in Patients With Advanced Cancer and Their Family Caregivers: Longitudinal Study.JMIR formative research · 2025Article
- User-Centred Design and Development of a Smartphone Application (Healthcare (Basel, Switzerland) · 2024Article
- Personalizing adult spinal deformity surgery through multimodal artificial intelligence.Acta orthopaedica et traumatologica turcica · 2024Review
- Adolescent and Parent Perspectives on Digital Phenotyping in Youths With Chronic Pain: Cross-Sectional Mixed Methods Survey Study.Journal of medical Internet research · 2024Article
- The Pain Intervention & Digital Research Program: an operational report on combining digital research with outpatient chronic disease management.Frontiers in pain research (Lausanne, Switzerland) · 2024Article
- Digital Phenotyping for Monitoring and Disease Trajectory Prediction of Patients With Cancer: Protocol for a Prospective Observational Cohort Study.JMIR research protocols · 2023Article
- Smartphone sensors for evaluating COVID-19 fear in patients with cancer: a prospective study.Frontiers in public health · 2023Article
- Measuring long-term outcomes after injury: current issues and future directions.Trauma surgery & acute care open · 2023Review
- Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
- Passive Data Use for Ethical Digital Public Health Surveillance in a Postpandemic World.Journal of medical Internet research · 2022Article
- Smartphone GPS signatures of patients undergoing spine surgery correlate with mobility and current gold standard outcome measures.Journal of neurosurgery. Spine · 2021Article
- Bidirectional imputation of spatial GPS trajectories with missingness using sparse online Gaussian Process.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Smartphone sensing of social interactions in people with and without schizophrenia.Journal of psychiatric research · 2021Article
- HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning.Journal of medical Internet research · 2021Article
- Digital Phenotyping and Patient-Generated Health Data for Outcome Measurement in Surgical Care: A Scoping Review.Journal of personalized medicine · 2020Article
- Amyotrophic lateral sclerosis care and research in the United States during the COVID-19 pandemic: Challenges and opportunities.Muscle & nerve · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo identify trends in mobility and daily pain levels among a cohort of patients with clinically diagnosed spine disease.
methodsParticipants with spine disease were enrolled from a general neurosurgical clinic and installed a smartphone application (Beiwe) designed for digital phenotyping to their personal smartphone. This application collected passive meta-data on a minute-to-minute basis, including global positioning system (GPS), WiFi, accelerometer, text and telephone logs, and screen on and off time. The application also administered daily visual analog scale pain surveys. A linear mixed model framework was used to test for associations between self-reported pain and mobility and sociability from the passively collected data.
resultsA total of 105 patients were enrolled, with a median follow-up time of 94.5 days; 55 patients underwent a surgical intervention during the follow-up period. The weekly pain survey response rate was 73.2%. By the end of follow-up, the mean change in pain for all patients was -1.3 points (4.96 at the start of follow-up to 3.66 by the end of follow-up). Increased pain was significantly associated with reduced patient mobility as measured using 3 daily GPS summary statistics (i.e., average flight length, maximum diameter travelled, total distance travelled).
conclusionsPatients with spine disease who reported greater pain had reduced mobility, as measured by the passively collected smartphone GPS data. Smartphone-based digital phenotyping appears to be a promising and scalable approach to assess mobility and quality of life of patients with spine disease.
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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.