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Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project
INTRODUCTION: Primary care physicians are often challenged to adjust insulin doses. To facilitate this process, we evaluated in a safety net clinic the work flow and glycemic effects of remote glucose monitoring utilizing Federal Drug Administration (FDA) cleared, Conformité Européenne (CE) register...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437238/ https://www.ncbi.nlm.nih.gov/pubmed/30721451 http://dx.doi.org/10.1007/s13300-019-0565-y |
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author | Davidson, Mayer B. Davidson, S. Joshua |
author_facet | Davidson, Mayer B. Davidson, S. Joshua |
author_sort | Davidson, Mayer B. |
collection | PubMed |
description | INTRODUCTION: Primary care physicians are often challenged to adjust insulin doses. To facilitate this process, we evaluated in a safety net clinic the work flow and glycemic effects of remote glucose monitoring utilizing Federal Drug Administration (FDA) cleared, Conformité Européenne (CE) registered software that contained computerized algorithms for insulin dose adjustments to help clinicians make dosing decisions for insulin-requiring patients. METHODS: Patients taking insulin for at least 6 months with HbA1(c) levels of at least 8.0% measured glucose levels with a meter attached to their smartphones. Readings were automatically transmitted to a secure, Health Insurance Portability and Accountability Act (HIPAA)-approved server. Values were analyzed every 2–3 weeks and reports, including recommendations for insulin dose changes, were sent to a clinic nurse practitioner (NP) who modified or accepted the recommendations. A staff person contacted patients with the new doses determined by the NP. RESULTS: Insulin regimens included basal alone (N = 11), basal/bolus (N = 14), and self-mixed/split (N = 3). Baseline HbA1 levels of 10.0% fell to 8.1% at 3 months (N = 28) and 7.6% at 6 months (N = 17) without any clinic visits for dose adjustments. There were 268 reports which allowed providers to see 268 other patients during these avoided clinic visits. The NP agreed with 82% of the recommendations. The total doses of insulin increased by 24%. No patient experienced severe hypoglycemia or visited an emergency department for hypoglycemia. CONCLUSION: Remote glucose monitoring utilizing computerized insulin dose adjustment algorithms saved time for both providers and patients while effectively improving glycemia. FUNDING: The Leonard M. Lipman Charitable Trust and Mellitus Health. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13300-019-0565-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6437238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-64372382019-04-15 Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project Davidson, Mayer B. Davidson, S. Joshua Diabetes Ther Original Research INTRODUCTION: Primary care physicians are often challenged to adjust insulin doses. To facilitate this process, we evaluated in a safety net clinic the work flow and glycemic effects of remote glucose monitoring utilizing Federal Drug Administration (FDA) cleared, Conformité Européenne (CE) registered software that contained computerized algorithms for insulin dose adjustments to help clinicians make dosing decisions for insulin-requiring patients. METHODS: Patients taking insulin for at least 6 months with HbA1(c) levels of at least 8.0% measured glucose levels with a meter attached to their smartphones. Readings were automatically transmitted to a secure, Health Insurance Portability and Accountability Act (HIPAA)-approved server. Values were analyzed every 2–3 weeks and reports, including recommendations for insulin dose changes, were sent to a clinic nurse practitioner (NP) who modified or accepted the recommendations. A staff person contacted patients with the new doses determined by the NP. RESULTS: Insulin regimens included basal alone (N = 11), basal/bolus (N = 14), and self-mixed/split (N = 3). Baseline HbA1 levels of 10.0% fell to 8.1% at 3 months (N = 28) and 7.6% at 6 months (N = 17) without any clinic visits for dose adjustments. There were 268 reports which allowed providers to see 268 other patients during these avoided clinic visits. The NP agreed with 82% of the recommendations. The total doses of insulin increased by 24%. No patient experienced severe hypoglycemia or visited an emergency department for hypoglycemia. CONCLUSION: Remote glucose monitoring utilizing computerized insulin dose adjustment algorithms saved time for both providers and patients while effectively improving glycemia. FUNDING: The Leonard M. Lipman Charitable Trust and Mellitus Health. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13300-019-0565-y) contains supplementary material, which is available to authorized users. Springer Healthcare 2019-02-05 2019-04 /pmc/articles/PMC6437238/ /pubmed/30721451 http://dx.doi.org/10.1007/s13300-019-0565-y Text en © The Author(s) 2019 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Davidson, Mayer B. Davidson, S. Joshua Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project |
title | Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project |
title_full | Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project |
title_fullStr | Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project |
title_full_unstemmed | Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project |
title_short | Effect of Remote Glucose Monitoring Utilizing Computerized Insulin Dose Adjustment Algorithms: A Pilot Project |
title_sort | effect of remote glucose monitoring utilizing computerized insulin dose adjustment algorithms: a pilot project |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437238/ https://www.ncbi.nlm.nih.gov/pubmed/30721451 http://dx.doi.org/10.1007/s13300-019-0565-y |
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