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Review
. 2018 Jan 15:1:20172.
doi: 10.1038/s41746-017-0002-4. eCollection 2018.

Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials

Affiliations
Review

Impact of remote patient monitoring on clinical outcomes: an updated meta-analysis of randomized controlled trials

Benjamin Noah et al. NPJ Digit Med. .

Erratum in

Abstract

Despite growing interest in remote patient monitoring, limited evidence exists to substantiate claims of its ability to improve outcomes. Our aim was to evaluate randomized controlled trials (RCTs) that assess the effects of using wearable biosensors (e.g. activity trackers) for remote patient monitoring on clinical outcomes. We expanded upon prior reviews by assessing effectiveness across indications and presenting quantitative summary data. We searched for articles from January 2000 to October 2016 in PubMed, reviewed 4,348 titles, selected 777 for abstract review, and 64 for full text review. A total of 27 RCTs from 13 different countries focused on a range of clinical outcomes and were retained for final analysis; of these, we identified 16 high-quality studies. We estimated a difference-in-differences random effects meta-analysis on select outcomes. We weighted the studies by sample size and used 95% confidence intervals (CI) around point estimates. Difference-in-difference point estimation revealed no statistically significant impact of remote patient monitoring on any of six reported clinical outcomes, including body mass index (-0.73; 95% CI: -1.84, 0.38), weight (-1.29; -3.06, 0.48), waist circumference (-2.41; -5.16, 0.34), body fat percentage (0.11; -1.56, 1.34), systolic blood pressure (-2.62; -5.31, 0.06), and diastolic blood pressure (-0.99; -2.73, 0.74). Studies were highly heterogeneous in their design, device type, and outcomes. Interventions based on health behavior models and personalized coaching were most successful. We found substantial gaps in the evidence base that should be considered before implementation of remote patient monitoring in the clinical setting.

Keywords: Disease prevention; Health services; Weight management.

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Conflict of interest statement

Competing interestsThe authors declare no competing financial interests.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram of the process used in study selection
Fig. 2
Fig. 2
Point estimates of the mean difference for each study (green squares) and the corresponding 95% Confidence Intervals (horizontal black lines) are shown, with the size of the green square representing the relative weight of the study. The black diamond represents the overall pooled estimate, with the tips of the diamond representing the 95% Confidence Intervals
Fig. 3
Fig. 3
Point estimates of the mean difference for each study (green squares) and the corresponding 95% Confidence Intervals (horizontal lines) are shown, with the size of the green square representing the relative weight of the study. The black diamond represents the overall pooled estimate, with the tips of the diamond representing the 95% Confidence Intervals
Fig. 4
Fig. 4
Point estimates of the mean difference for each study (green squares) and the corresponding 95% Confidence Intervals (horizontal lines) are shown, with the size of the green square representing the relative weight of the study. The black diamond represents the overall pooled estimate, with the tips of the diamond representing the 95% Confidence Intervals
Fig. 5
Fig. 5
Point estimates of the mean difference for each study (green squares) and the corresponding 95% confidence intervals (horizontal lines) are shown, with the size of the green square representing the relative weight of the study. The black diamond represents the overall pooled estimate, with the tips of the diamond representing the 95% Confidence Intervals
Fig. 6
Fig. 6
Point estimates of the mean difference for each study (green squares) and the corresponding 95% Confidence Intervals (horizontal lines) are shown, with the size of the green square representing the relative weight of the study. The black diamond represents the overall pooled estimate, with the tips of the diamond representing the 95% Confidence Intervals
Fig. 7
Fig. 7
Point estimates of the mean difference for each study (green squares) and the corresponding 95% Confidence Intervals (horizontal lines) are shown, with the size of the green square representing the relative weight of the study. The black diamond represents the overall pooled estimate, with the tips of the diamond representing the 95% Confidence Intervals

References

    1. Andreu-Perez J, Leff DR, Ip HM, Yang GZ. From wearable sensors to smart implants—toward pervasive and personalized healthcare. IEEE Trans. Biomed. Eng. 2015;62:2750–2762. doi: 10.1109/TBME.2015.2422751. - DOI - PubMed
    1. Ajami S, Teimouri F. Features and application of wearable biosensors in medical care. J. Res. Med. Sci. 2015;20:1208–1215. doi: 10.4103/1735-1995.172991. - DOI - PMC - PubMed
    1. Steinhubl SR, Muse ED, Topol EJ. The emerging field of mobile health. Sci. Transl. Med. 2015;7:283rv283. doi: 10.1126/scitranslmed.aaa3487. - DOI - PMC - PubMed
    1. Pevnick JM, Fuller G, Duncan R, Spiegel BMR. A large-scale initiative inviting patients to share personal fitness tracker data with their providers: initial results. PLoS ONE. 2016;11:e0165908. doi: 10.1371/journal.pone.0165908. - DOI - PMC - PubMed
    1. Atallah L, Lo B, Yang GZ. Can pervasive sensing address current challenges in global healthcare? J. Epidemiol. Glob. Health. 2012;2:1–13. doi: 10.1016/j.jegh.2011.11.005. - DOI - PMC - PubMed