Digital Health for Patients Undergoing Spine Surgery: A Systematic Review.
OBJECTIVE: Digital health tools, including smartphone applications (apps), websites, and online search engines, are increasingly being utilized for health data collection and patient education. Studies have shown that these tools can help disseminate information widely and even help guide patients through acute surgical episodes. We aimed to search the literature to summarize available studies on using digital health tools for patients undergoing spine surgery. METHODS: We conducted a systematic review of PubMed MEDLINE, Elsevier EMBASE, and Elsevier Scopus databases, as well as ClinicalTrials.gov up to March 11, 2022. RESULTS: Forty-four full-text articles were included and qualitatively analyzed. Studies were broadly grouped into those that analyzed the quality of web-based materials for patients, the quality of YouTube videos for spine surgery, the development, feasibility, and implementation of mobile apps for patients, and randomized controlled trials for integrating mobile apps into perioperative care. CONCLUSIONS: We presented a systematic review analyzing the current landscape of digital health for patients undergoing spine surgery. Internet patient education materials in searchable websites and YouTube videos are of poor quality, lacking in readability to the average patient and robustness of information needed for patients to make informed decisions about pursuing spine surgery. However, there lies promise in digital apps developed to guide patients through surgery and collect postoperative outcomes.
Duke Scholars
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DOI
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Related Subject Headings
- Spine
- Spinal Diseases
- Patient Education as Topic
- Neurosurgical Procedures
- Mobile Applications
- Humans
- Digital Health
- 3209 Neurosciences
- 3202 Clinical sciences
- 1109 Neurosciences
Citation
Published In
DOI
EISSN
Publication Date
Volume
Start / End Page
Location
Related Subject Headings
- Spine
- Spinal Diseases
- Patient Education as Topic
- Neurosurgical Procedures
- Mobile Applications
- Humans
- Digital Health
- 3209 Neurosciences
- 3202 Clinical sciences
- 1109 Neurosciences