Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention

Patients with diabetes and poorly controlled hypertension are at increased risk for adverse renal and cardiovascular outcomes. Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth),...

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Veröffentlicht in:Journal of medical Internet research 2019-04, Vol.21 (4), p.e12541-e12541
Hauptverfasser: Lewinski, Allison A, Patel, Uptal D, Diamantidis, Clarissa J, Oakes, Megan, Baloch, Khaula, Crowley, Matthew J, Wilson, Jonathan, Pendergast, Jane, Biola, Holly, Boulware, L Ebony, Bosworth, Hayden B
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container_issue 4
container_start_page e12541
container_title Journal of medical Internet research
container_volume 21
creator Lewinski, Allison A
Patel, Uptal D
Diamantidis, Clarissa J
Oakes, Megan
Baloch, Khaula
Crowley, Matthew J
Wilson, Jonathan
Pendergast, Jane
Biola, Holly
Boulware, L Ebony
Bosworth, Hayden B
description Patients with diabetes and poorly controlled hypertension are at increased risk for adverse renal and cardiovascular outcomes. Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support. This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States. Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention. Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls. We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least
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Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support. This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States. Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention. Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls. We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact. ClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU).</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/12541</identifier><identifier>PMID: 30964439</identifier><language>eng</language><publisher>Canada: Journal of Medical Internet Research</publisher><subject>Automation ; Behavior change ; Behavior modification ; Blood pressure ; Call centers ; Case management ; Cellular telephones ; Change agents ; Chronic illnesses ; Cost analysis ; Diabetes ; Diabetes Mellitus, Type 2 - therapy ; Diabetes therapy ; Diabetics ; Drugs ; Electronic health records ; Electronic records ; Email ; Feasibility ; Feasibility Studies ; Female ; Health care ; Health facilities ; Humans ; Hypertension ; Hypertension - therapy ; Intervention ; Kidney diseases ; Low income groups ; Management development programmes ; Medical care, Cost of ; Medical diagnosis ; Medical records ; Middle Aged ; Minority &amp; ethnic groups ; Mobile phones ; Original Paper ; Patient compliance ; Patient-centered care ; Patients ; Poverty ; Primary care ; Risk factors ; Self report ; Self-Management ; Selfmanagement ; Socioeconomic factors ; Socioeconomic status ; Technology ; Telemedicine ; Telemedicine - methods ; Text messaging ; Type 2 diabetes ; Type 2 diabetes mellitus ; Underserved populations</subject><ispartof>Journal of medical Internet research, 2019-04, Vol.21 (4), p.e12541-e12541</ispartof><rights>Allison A Lewinski, Uptal D Patel, Clarissa J Diamantidis, Megan Oakes, Khaula Baloch, Matthew J Crowley, Jonathan Wilson, Jane Pendergast, Holly Biola, L Ebony Boulware, Hayden B Bosworth. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 09.04.2019.</rights><rights>COPYRIGHT 2019 Journal of Medical Internet Research</rights><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Allison A Lewinski, Uptal D Patel, Clarissa J Diamantidis, Megan Oakes, Khaula Baloch, Matthew J Crowley, Jonathan Wilson, Jane Pendergast, Holly Biola, L Ebony Boulware, Hayden B Bosworth. 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Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support. This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States. Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention. Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls. We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact. 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Patel, Uptal D ; Diamantidis, Clarissa J ; Oakes, Megan ; Baloch, Khaula ; Crowley, Matthew J ; Wilson, Jonathan ; Pendergast, Jane ; Biola, Holly ; Boulware, L Ebony ; Bosworth, Hayden B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-3d6648689032c516fdc7cd702c9f96aa798c9835ba382908e81b8d95339ef9a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Automation</topic><topic>Behavior change</topic><topic>Behavior modification</topic><topic>Blood pressure</topic><topic>Call centers</topic><topic>Case management</topic><topic>Cellular telephones</topic><topic>Change agents</topic><topic>Chronic illnesses</topic><topic>Cost analysis</topic><topic>Diabetes</topic><topic>Diabetes Mellitus, Type 2 - therapy</topic><topic>Diabetes therapy</topic><topic>Diabetics</topic><topic>Drugs</topic><topic>Electronic health records</topic><topic>Electronic records</topic><topic>Email</topic><topic>Feasibility</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Health care</topic><topic>Health facilities</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - therapy</topic><topic>Intervention</topic><topic>Kidney diseases</topic><topic>Low income groups</topic><topic>Management development programmes</topic><topic>Medical care, Cost of</topic><topic>Medical diagnosis</topic><topic>Medical records</topic><topic>Middle Aged</topic><topic>Minority &amp; 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Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support. This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States. Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ≥140 mm Hg and/or diastolic blood pressure [DBP] ≥90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention. Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls. We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact. ClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU).</abstract><cop>Canada</cop><pub>Journal of Medical Internet Research</pub><pmid>30964439</pmid><doi>10.2196/12541</doi><orcidid>https://orcid.org/0000-0002-6905-6649</orcidid><orcidid>https://orcid.org/0000-0002-6205-4536</orcidid><orcidid>https://orcid.org/0000-0001-6188-9825</orcidid><orcidid>https://orcid.org/0000-0001-9984-4825</orcidid><orcidid>https://orcid.org/0000-0003-2257-0234</orcidid><orcidid>https://orcid.org/0000-0001-8212-6288</orcidid><orcidid>https://orcid.org/0000-0001-9884-1200</orcidid><orcidid>https://orcid.org/0000-0002-4619-1784</orcidid><orcidid>https://orcid.org/0000-0002-1356-1857</orcidid><orcidid>https://orcid.org/0000-0002-8650-4212</orcidid><orcidid>https://orcid.org/0000-0001-5169-8371</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1438-8871
ispartof Journal of medical Internet research, 2019-04, Vol.21 (4), p.e12541-e12541
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1438-8871
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source MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central Open Access; Applied Social Sciences Index & Abstracts (ASSIA); EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Automation
Behavior change
Behavior modification
Blood pressure
Call centers
Case management
Cellular telephones
Change agents
Chronic illnesses
Cost analysis
Diabetes
Diabetes Mellitus, Type 2 - therapy
Diabetes therapy
Diabetics
Drugs
Electronic health records
Electronic records
Email
Feasibility
Feasibility Studies
Female
Health care
Health facilities
Humans
Hypertension
Hypertension - therapy
Intervention
Kidney diseases
Low income groups
Management development programmes
Medical care, Cost of
Medical diagnosis
Medical records
Middle Aged
Minority & ethnic groups
Mobile phones
Original Paper
Patient compliance
Patient-centered care
Patients
Poverty
Primary care
Risk factors
Self report
Self-Management
Selfmanagement
Socioeconomic factors
Socioeconomic status
Technology
Telemedicine
Telemedicine - methods
Text messaging
Type 2 diabetes
Type 2 diabetes mellitus
Underserved populations
title Addressing Diabetes and Poorly Controlled Hypertension: Pragmatic mHealth Self-Management Intervention
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