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An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis

BACKGROUND: Type 2 diabetes (T2D) is a major chronic condition requiring management through lifestyle changes and recommended health service visits. Mobile health (mHealth) is a promising tool to encourage self-management, but few studies have investigated the impact of mHealth on health care utiliz...

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Autores principales: Quinn, Charlene C, Swasey, Krystal K, Torain, Jamila M, Shardell, Michelle D, Terrin, Michael L, Barr, Erik A, Gruber-Baldini, Ann L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231737/
https://www.ncbi.nlm.nih.gov/pubmed/30322839
http://dx.doi.org/10.2196/10776
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author Quinn, Charlene C
Swasey, Krystal K
Torain, Jamila M
Shardell, Michelle D
Terrin, Michael L
Barr, Erik A
Gruber-Baldini, Ann L
author_facet Quinn, Charlene C
Swasey, Krystal K
Torain, Jamila M
Shardell, Michelle D
Terrin, Michael L
Barr, Erik A
Gruber-Baldini, Ann L
author_sort Quinn, Charlene C
collection PubMed
description BACKGROUND: Type 2 diabetes (T2D) is a major chronic condition requiring management through lifestyle changes and recommended health service visits. Mobile health (mHealth) is a promising tool to encourage self-management, but few studies have investigated the impact of mHealth on health care utilization. OBJECTIVE: The objective of this analysis was to determine the change in 2-year health service utilization and whether utilization explained a 1.9% absolute decrease in glycated hemoglobin (HbA(1c)) over 1-year in the Mobile Diabetes Intervention Study (MDIS). METHODS: We used commercial claims data from 2006 to 2010 linked to enrolled patients’ medical chart data in 26 primary care practices in Maryland, USA. Secondary claims data analyses were available for 56% (92/163) of participants. In the primary MDIS study, physician practices were recruited and randomized to usual care and 1 of 3 increasingly complex interventions. Patients followed physician randomization assignment. The main variables in the analysis included health service utilization by type of service and change in HbA(1c). The claims data was aggregated into 12 categories of utilization to assess change in 2-year health service usage, comparing rates of usage pre- and posttrial. We also examined whether utilization explained the 1.9% decrease in HbA(1c) over 1 year in the MDIS cluster randomized clinical trial. RESULTS: A significant group by time effect was observed in physician office visits, general practitioner visits, other outpatient services, prescription medications, and podiatrist visits. Physician office visits (P=.01) and general practitioner visits (P=.02) both decreased for all intervention groups during the study period, whereas prescription claims (P<.001) increased. The frequency of other outpatient services (P=.001) and podiatrist visits (P=.04) decreased for the control group and least complex intervention group but increased for the 2 most complex intervention groups. No significant effects of utilization were observed to explain the clinically significant change in HbA(1c). CONCLUSIONS: Claims data analyses identified patterns of utilization relevant to mHealth interventions. Findings may encourage patients and health providers to discuss the utilization of treatment-recommended services, lab tests, and prescribed medications. TRIAL REGISTRATION: ClinicalTrials.gov NCT01107015; https://clinicaltrials.gov/ct2/show/NCT01107015 (Archived by Webcite at http://www.webcitation.org/72XgTaxIj)
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spelling pubmed-62317372018-12-03 An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis Quinn, Charlene C Swasey, Krystal K Torain, Jamila M Shardell, Michelle D Terrin, Michael L Barr, Erik A Gruber-Baldini, Ann L JMIR Mhealth Uhealth Original Paper BACKGROUND: Type 2 diabetes (T2D) is a major chronic condition requiring management through lifestyle changes and recommended health service visits. Mobile health (mHealth) is a promising tool to encourage self-management, but few studies have investigated the impact of mHealth on health care utilization. OBJECTIVE: The objective of this analysis was to determine the change in 2-year health service utilization and whether utilization explained a 1.9% absolute decrease in glycated hemoglobin (HbA(1c)) over 1-year in the Mobile Diabetes Intervention Study (MDIS). METHODS: We used commercial claims data from 2006 to 2010 linked to enrolled patients’ medical chart data in 26 primary care practices in Maryland, USA. Secondary claims data analyses were available for 56% (92/163) of participants. In the primary MDIS study, physician practices were recruited and randomized to usual care and 1 of 3 increasingly complex interventions. Patients followed physician randomization assignment. The main variables in the analysis included health service utilization by type of service and change in HbA(1c). The claims data was aggregated into 12 categories of utilization to assess change in 2-year health service usage, comparing rates of usage pre- and posttrial. We also examined whether utilization explained the 1.9% decrease in HbA(1c) over 1 year in the MDIS cluster randomized clinical trial. RESULTS: A significant group by time effect was observed in physician office visits, general practitioner visits, other outpatient services, prescription medications, and podiatrist visits. Physician office visits (P=.01) and general practitioner visits (P=.02) both decreased for all intervention groups during the study period, whereas prescription claims (P<.001) increased. The frequency of other outpatient services (P=.001) and podiatrist visits (P=.04) decreased for the control group and least complex intervention group but increased for the 2 most complex intervention groups. No significant effects of utilization were observed to explain the clinically significant change in HbA(1c). CONCLUSIONS: Claims data analyses identified patterns of utilization relevant to mHealth interventions. Findings may encourage patients and health providers to discuss the utilization of treatment-recommended services, lab tests, and prescribed medications. TRIAL REGISTRATION: ClinicalTrials.gov NCT01107015; https://clinicaltrials.gov/ct2/show/NCT01107015 (Archived by Webcite at http://www.webcitation.org/72XgTaxIj) JMIR Publications 2018-10-15 /pmc/articles/PMC6231737/ /pubmed/30322839 http://dx.doi.org/10.2196/10776 Text en ©Charlene C Quinn, Krystal K Swasey, Jamila M Torain, Michelle D Shardell, Michael L Terrin, Erik A Barr, Ann L Gruber-Baldini. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 15.10.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Quinn, Charlene C
Swasey, Krystal K
Torain, Jamila M
Shardell, Michelle D
Terrin, Michael L
Barr, Erik A
Gruber-Baldini, Ann L
An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis
title An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis
title_full An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis
title_fullStr An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis
title_full_unstemmed An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis
title_short An mHealth Diabetes Intervention for Glucose Control: Health Care Utilization Analysis
title_sort mhealth diabetes intervention for glucose control: health care utilization analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231737/
https://www.ncbi.nlm.nih.gov/pubmed/30322839
http://dx.doi.org/10.2196/10776
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