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Assessment of remote patient monitoring (RPM) systems for patients with type 2 diabetes: a systematic review and meta-analysis

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Abstract

Introduction

The objective of this study is to conduct an assessment of Remote Patient Monitoring (RPM) systems compared to usual care for controlling glycosylated hemoglobin in type 2 diabetes.

Methods

The study was a systematic review with meta-analysis and meta-regression. A systematic search was performed via the most important electronic databases of medical resources, such as PubMed, Scopus and Cochrane library. The main outcome was HbA1C. The heterogeneity sources were examined using Chi-square (Q) and I2 tests. Meta-analyses were done using Stata version 11 software. Statistical significance was defined as P < 0.05. Random effects model was used in meta-analysis, and the heterogeneity more than 50% was considered as significant.

Results

The results of the systematic review and meta-analysis indicated that the effect size index (Difference of Pre-test/Post-test Control Design-2nd method “using pooled pretest SD” (DPPC2)) among users of RPM for type 2 diabetic patients was −0.32 with a confidence interval of 95% (from −0.45 to −0.19) as compared to the control group. The current study declared a vital role of RPM technology in reduction of hemoglobin glycogen levels. The results of the subgroup analysis showed that RPM is more effective for patients who are residents of cities, having intervention lengths less than 6 months, getting the orders from the physician and using the websites as their intervention type.

Conclusion

The current study indicted the efficacy of RPM in reducing HbA1c among type 2 diabetic patients, which could be a base for policymakers to decide on the introduction of this technology in Iran.

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Acknowledgments

This research was part of MSc thesis on Health Technology Assessment, which was approved by school of public health, Tehran University of medical Sciences.

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Authors and Affiliations

  1. Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

    Sahar Salehi

  2. National Institute for Health Research and Health Equity Research Center, Tehran University of Medical Science, Tehran, Iran

    Alireza Olyaeemanesh

  3. National Institute for Health Research, Tehran University of Medical Science, Tehran, Iran

    Mohammadreza Mobinizadeh

  4. Endocrinology and Metabolism Research Center, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran

    Ensieh Nasli-Esfahani

  5. Endocrinology and Metabolism Research Institute, Tehran, Iran

    Hossein Riazi

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  1. Sahar Salehi
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Correspondence to Mohammadreza Mobinizadeh.

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Salehi, S., Olyaeemanesh, A., Mobinizadeh, M. et al. Assessment of remote patient monitoring (RPM) systems for patients with type 2 diabetes: a systematic review and meta-analysis. J Diabetes Metab Disord 19, 115–127 (2020). https://doi.org/10.1007/s40200-019-00482-3

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  • DOI: https://doi.org/10.1007/s40200-019-00482-3

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