Evidence map›Paper›PMID 29952998›Full record

Observational studyMedicine2018

Mobile phone application for self-assessment of acute stroke patients: A tool for extended care and follow-up.

Hong Chang, Jie Zhao, Yuchen Qiao, Hui Yao, Xiaojuan Wang, Juanmin Li, Jia Liu

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hong ChangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jie Zhao
Yuchen Qiao
Hui Yao
Xiaojuan Wang
Juanmin Li
Jia Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to assess the accuracy of self-assessment for acute stroke patients via mobile phone application-based scales and determine the value and prospect of clinical use.A cross-sectional study was designed and acute stroke patients were enrolled. We pushed the modified Rankin scale (mRS) and activities of daily living (ADL) scale to patients via mobile phone application for self-assessment on the day before they were out of hospital. We compared the results from nurse assessment and self-assessment.Around 50 patients with the average age 51.72 ± 12.40 completed the self-assessment. A total of 27 patients self-assessed the scales, while caregivers of other 23 patients completed the assessment. In comparison with patient assessment and nurse assessment, significant difference was found in ADL score (P = .004), but was not found in mRS score (P > .05). When comparing caregiver assessment with nurse assessment, no significant difference could be found either in ADL score (P > .05) or in mRS score (P > .05). The kappa value for self-assessment and nurse agreement of ADL was 0.720 (P = .000), with sensitivity 96.8% and specificity 82.0%. The kappa value for self-assessment and nurse agreement of mRS was 0.718 (P = .000), with sensitivity 97.6% and specificity 92.4%.In summary, mobile phone application-based scales are generally accurate, economical and convenient for self-assessment of acute stroke patients with acceptable reliability in our small scale study. Caregivers can serve as the proper assessor when patients are out of hospital. Therefore, it is promising but still need to be further confirmed how practical to use this application in extended care and follow-up.

Indexed as

Disability EvaluationMobile ApplicationsSelf ReportActivities of Daily LivingAdultAgedAged, 80 and overCaregiversCross-Sectional StudiesFemaleHumansMaleMiddle AgedNursesReproducibility of ResultsStroke

Identifiers

PMID29952998
PMCPMC6039690

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.