Table 3.
Author, year | Validation outcomes | Feasibility outcomes | Clinical outcomes | Cost outcomes |
Prgomet et al, 2016 [39] | —a | Knowledge, confidence, perceptions and feedback about continuous monitoring device, interdisciplinary communication regarding deterioration | — | — |
Weller et al, 2017 [40] | — | Alarm rate | RRTb calls, ICUc transfers, unexpected deaths | — |
Verillo et al, 2018 [51] | — | Staff satisfaction | Complication rate, RRT calls, ICU transfers, FTRd events | — |
Weenk et al, 2017 [59] | Bland-Altman agreement | Artifacts, user experiences | — | — |
Watkins et al, 2015 [60] | — | Nursing experiences, number of alarms | Log of interventions based on alarms | — |
Downey et al, 2018a [62] | — | Patient acceptability and compliance | Time to ABe, mortality, length of stay, admission to level II or II, 30-day readmission | — |
Downey et al, 2018b [56] | — | Patient perceptions | — | — |
Hernandez-Silveira et al, 2015a [63] | Bland-Altman agreement | — | — | — |
Hernandez-Silveira et al, 2015b [61] | Bland-Altman agreement | — | — | — |
Downey et al, 2019 [64] | Bland-Altman agreement | Completeness of continuous patch data | — | — |
Chan et al, 2013 [65] | Mean absolute error, root-mean-square error | — | — | — |
Izmailova et al, 2019 [41] | Data collection rate, comparison with control, data limitations | Data collection rate, acceptability | — | — |
Breteler et al, 2018 [42] | Limits of agreement and bias | Data loss | — | — |
Selvaraj et al, 2018 [43] | Bland-Altman agreement | — | — | — |
Liu et al, 2014 [69] | — | — | Prediction of life-saving interventions | — |
Liu et al, 2015 [45] | — | Percentages of valid measurements and nonzero waveform samples | — | — |
Razjouan et al, 2017 [46] | — | Any potential adverse events or complaints as a result of the patch | — | — |
Boatin et al, 2016 [47] | Bland-Altman agreement | Acceptability, functionality | — | — |
Kim et al, 2012 [48] | Bland-Altman agreement | — | — | — |
Van Haren et al, 2013 [49] | Sensitivity, specificity, negative predictive value, positive predictive value, and area under the receiving operating characteristic curves | — | Prediction of life-saving interventions | — |
Meisozo et al, 2016 [50] | Paired student t-test, Fisher exact tests | — | — | — |
Dur et al, 2019 [52] | Pearson correlation coefficients along with Bland-Altman plots and Bland-Altman limits of agreement | — | — | — |
Li et al, 2019 [57] | Correlation, mean difference | — | — | — |
Ordonnel et al, 2019 [53] | — | Wear-time detection | Sleep detection | — |
Hubner et al, 2015 [54] | — | Monitoring time, patient and user experiences | — | — |
Liu et al, 2013 [55] | Bland-Altman agreement, coefficient of variation, ICCf, SEEg, Pearson correlation coefficients, ANOVAh | — | — | — |
Paul et al, 2019 [58] | — | Recruitment rate, acceptance and tolerance, number of alarms per day including type and response, reliability of the system | Respiratory event rate, ICU transfer, RRT calls | — |
aNot available.
bRRT: rapid response time.
cICU: intensive care unit.
dFTR: fail-to-rescue.
eAB: antibiotic administration.
fICC: intraclass correlation.
gSEE: standard error of the estimate.
hANOVA: analysis of variance.