ArticleThe patient2015
Patient and Physician Perspectives on MSdialog, an Electronic PRO Diary in Multiple Sclerosis.
Article in The patient, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Multiple sclerosis clinical decision support system based on projection to reference datasets.Annals of clinical and translational neurology · 2022Trial
- An Exploratory Study on the Utility of Patient-Generated Health Data as a Tool for Health Care Professionals in Multiple Sclerosis Care.Methods of information in medicine · 2023Article
- A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation.BMC medical informatics and decision making · 2022Article
- Digital Health Technologies Enabling Partnerships in Chronic Care Management: Scoping Review.Journal of medical Internet research · 2022Article
- A Comprehensive Literature Search of Digital Health Technology Use in Neurological Conditions: Review of Digital Tools to Promote Self-management and Support.Journal of medical Internet research · 2022Review
- Article
- What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022Article
- Digital therapeutics in neurology.Journal of neurology · 2022Review
- Wearable technologies to measure clinical outcomes in multiple sclerosis: A scoping review.Multiple sclerosis (Houndmills, Basingstoke, England) · 2021Article
- Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review.Brain sciences · 2021Review
- Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review.JAMIA open · 2021Review
- A Digital Patient Portal for Patients With Multiple Sclerosis.Frontiers in neurology · 2020Article
- A portfolio of biologic self-injection devices in rheumatology: how patient involvement in device design can improve treatment experience.Drug delivery · 2019Review
- Mobile Applications for Multiple Sclerosis: a Focus on Self-Management.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019Article
- The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review.JMIR rehabilitation and assistive technologies · 2018Article
- Remotely engaged: Lessons from remote monitoring in multiple sclerosis.International journal of medical informatics · 2017Article
- Testing of Journal Writing for Symptom Concordance in Adults with Multiple Sclerosis.International journal of MS careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMSdialog, a web- and mobile-based software application, captures data on self-administration of subcutaneous interferon β-1a, clinical outcomes, and patient-reported outcomes in patients with multiple sclerosis outside the clinic.
methodsPatient and healthcare professional reactions to MSdialog were surveyed; participants rated benefits of MSdialog detailed in an explanatory video. A 6-week pilot study of patients with multiple sclerosis then assessed MSdialog usability. After participating in a training teleconference, patients completed weekly health reports via MSdialog, plus two usability surveys (weeks 3 and 6) and an exploratory follow-up telephone interview.
resultsSeventy-six patients, 92 neurologists and 40 multiple sclerosis nurses completed the MSdialog benefits survey. Highly motivating benefits for patients included sharing information with healthcare providers and capturing patient-reported outcomes data; healthcare providers were highly motivated by data availability on patient-reported outcomes and adherence. Thirty-nine of 42 enrolled patients completed the pilot study. Overall, 87% of patients stated that completion of patient-reported outcomes with MSdialog fitted in "fairly well" to "extremely well" with their weekly routine. At week 6, 77% of patients were "very satisfied" or "extremely satisfied" with their MSdialog experience; 82% considered it better than previous methods for tracking their health and 95% would recommend using MSdialog. Most patients were highly motivated to use MSdialog; reasons given included "helps me remember what to mention to my doctor".
conclusionMSdialog was considered easy to use and superior to patients' previous methods for tracking health. The ability to provide valuable data to healthcare providers offers the potential to improve patient-physician communication and engagement.
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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.