Evidence map›Paper›PMID 31144129›Full record

SynthesisJournal of medical systems2019

Mobile Patient Monitoring Systems from a Benchmarking Aspect: Challenges, Open Issues and Recommended Solutions.

E M Almahdi, A A Zaidan, B B Zaidan, M A Alsalem, O S Albahri, A S Albahri

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

E M AlmahdiDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
A A ZaidanDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia. aws.alaa@gmail.com.
B B ZaidanDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
M A AlsalemCollege of Administration and Economic, University of Mosul, Mosul, Iraq.
O S AlbahriDepartment of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
A S AlbahriCollege of Engineering, University of Information Technology and Communications, Baghdad, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents comprehensive insights into mobile patient monitoring systems (MPMSs) from evaluation and benchmarking aspects on the basis of two critical directions. The current evaluation criteria of MPMSs based on the architectural components of MPMSs and possible solutions are discussed. This review highlights four serious issues, namely, multiple evaluation criteria, criterion importance, unmeasurable criteria and data variation, in MPMS benchmarking. Multicriteria decision-making (MCDM) analysis techniques are proposed as effective solutions to solve these issues from a methodological aspect. This methodological aspect involves a framework for benchmarking MPMSs on the basis of MCDM to rank available MPMSs and select a suitable one. The benchmarking framework is discussed in four steps. Firstly, pre-processing and identification procedures are presented. Secondly, the procedure of weight calculation based on the best-worst method (BWM) is described. Thirdly, the development of a benchmark framework by using the VIKOR method is introduced. Lastly, the proposed framework is validated.

Indexed as

Wearable Electronic DevicesDecision Support TechniquesDementiaFeedbackHumansMonitoring, AmbulatoryPatient TransferReproducibility of ResultsTelemedicineTriageEvaluation and benchmarkMobile patient monitoring systems (MPMSs)Multi-criteria analysis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.