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Abadula F, Garretson S, Okonkwo N, LeStourgeon LM, Jaser SS. Detangling Associations Between Maternal Depressive Symptoms and Diabetes Relationship Distress With Adolescents' HbA1c. J Pediatr Psychol 2024; 49:89-94. [PMID: 37794836 PMCID: PMC10874213 DOI: 10.1093/jpepsy/jsad070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/06/2023] Open
Abstract
OBJECTIVE Previous research in families of children with type 1 diabetes demonstrates that maternal depressive symptoms are a known risk factor for poor diabetes outcomes. We sought to examine whether maternal diabetes relationship distress or maternal depressive symptoms were more strongly associated with adolescent glycemic outcomes. METHODS Analyses were conducted using data from mothers who consented to screen for a behavioral intervention. The screener included the Patient Health Questionnaire and the Parent Diabetes Distress Scale, Parent/Teen Relationship Distress subscale. Hemoglobin A1c (HbA1c) was extracted from adolescents' medical records. RESULTS Our sample consisted of 390 maternal caregivers of adolescents with type 1 diabetes aged 11-17. Screening data revealed that 35% of mothers reported clinically significant diabetes distress related to their relationship with their adolescents, and 14% of mothers reported clinically significant depressive symptoms. The adolescents of mothers who reported diabetes relationship distress had significantly higher mean HbA1c levels (9.7 ± 2.2%) compared to those whose mothers were not distressed (8.2 ± 1.8%, d = .72). Similarly, adolescents whose mothers reported clinically significant depressive symptoms had higher mean HbA1c levels (9.6 ± 2.4%) than those whose mothers were not depressed (8.6 ± 2.0%, d = .48). After adjusting for clinical and demographic factors, mothers' reports of diabetes relationship distress were more strongly associated with adolescents' HbA1c than maternal depressive symptoms. CONCLUSIONS Our findings suggest that screening for maternal distress-particularly distress related to the caregiver-adolescent relationship-could match families with psychosocial support or other resources to improve both psychosocial and glycemic outcomes.
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Affiliation(s)
- Fayo Abadula
- Department of Pediatrics, Vanderbilt University Medical Center, USA
| | - Sydney Garretson
- Department of Pediatrics, Vanderbilt University Medical Center, USA
| | - Nkemjika Okonkwo
- Department of Pediatrics, Vanderbilt University Medical Center, USA
| | | | - Sarah S Jaser
- Department of Pediatrics, Vanderbilt University Medical Center, USA
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Nelson LA, Spieker AJ, LeStourgeon LM, Greevy Jr RA, Molli S, Roddy MK, Mayberry LS. The Goldilocks Dilemma on Balancing User Response and Reflection in mHealth Interventions: Observational Study. JMIR Mhealth Uhealth 2024; 12:e47632. [PMID: 38297891 PMCID: PMC10850735 DOI: 10.2196/47632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 11/29/2023] [Accepted: 11/30/2023] [Indexed: 02/02/2024] Open
Abstract
Background Mobile health (mHealth) has the potential to radically improve health behaviors and quality of life; however, there are still key gaps in understanding how to optimize mHealth engagement. Most engagement research reports only on system use without consideration of whether the user is reflecting on the content cognitively. Although interactions with mHealth are critical, cognitive investment may also be important for meaningful behavior change. Notably, content that is designed to request too much reflection could result in users' disengagement. Understanding how to strike the balance between response burden and reflection burden has critical implications for achieving effective engagement to impact intended outcomes. Objective In this observational study, we sought to understand the interplay between response burden and reflection burden and how they impact mHealth engagement. Specifically, we explored how varying the response and reflection burdens of mHealth content would impact users' text message response rates in an mHealth intervention. Methods We recruited support persons of people with diabetes for a randomized controlled trial that evaluated an mHealth intervention for diabetes management. Support person participants assigned to the intervention (n=148) completed a survey and received text messages for 9 months. During the 2-year randomized controlled trial, we sent 4 versions of a weekly, two-way text message that varied in both reflection burden (level of cognitive reflection requested relative to that of other messages) and response burden (level of information requested for the response relative to that of other messages). We quantified engagement by using participant-level response rates. We compared the odds of responding to each text and used Poisson regression to estimate associations between participant characteristics and response rates. Results The texts requesting the most reflection had the lowest response rates regardless of response burden (high reflection and low response burdens: median 10%, IQR 0%-40%; high reflection and high response burdens: median 23%, IQR 0%-51%). The response rate was highest for the text requesting the least reflection (low reflection and low response burdens: median 90%, IQR 61%-100%) yet still relatively high for the text requesting medium reflection (medium reflection and low response burdens: median 75%, IQR 38%-96%). Lower odds of responding were associated with higher reflection burden (P<.001). Younger participants and participants who had a lower socioeconomic status had lower response rates to texts with more reflection burden, relative to those of their counterparts (all P values were <.05). Conclusions As reflection burden increased, engagement decreased, and we found more disparities in engagement across participants' characteristics. Content encouraging moderate levels of reflection may be ideal for achieving both cognitive investment and system use. Our findings provide insights into mHealth design and the optimization of both engagement and effectiveness.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Robert A Greevy Jr
- Department of Biostatistics, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Samuel Molli
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - McKenzie K Roddy
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, NashvilleTN, United States
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, NashvilleTN, United States
- Department of Biomedical Informatics, Vanderbilt University Medical Center, NashvilleTN, United States
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Nelson LA, Spieker AJ, Greevy RA, Roddy MK, LeStourgeon LM, Bergner EM, El-Rifai M, Aikens JE, Wolever RQ, Elasy TA, Mayberry LS. Glycemic outcomes of a family-focused intervention for adults with type 2 diabetes: Main, mediated, and subgroup effects from the FAMS 2.0 RCT. Diabetes Res Clin Pract 2023; 206:110991. [PMID: 37925077 PMCID: PMC10873034 DOI: 10.1016/j.diabres.2023.110991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/17/2023] [Accepted: 11/02/2023] [Indexed: 11/06/2023]
Abstract
AIMS Family/friend Activation to Motivate Self-care (FAMS) is a self-care support intervention delivered via mobile phones. We evaluated FAMS' effects on hemoglobin A1c (HbA1c) and intervention targets among adults with type 2 diabetes in a 15-month RCT. METHODS Persons with diabetes (PWDs) were randomized to FAMS or control with their support person (family/friend, optional). FAMS included monthly phone coaching and text messages for PWDs, and text messages for support persons over a 9-month intervention period. RESULTS PWDs (N = 329) were 52 % male, 39 % reported minoritized race or ethnicity, with mean HbA1c 8.6 ± 1.7 %. FAMS improved HbA1c among PWDs with a non-cohabitating support person (-0.64 %; 95 % CI [-1.22 %, -0.05 %]), but overall mean effects were not significant. FAMS improved intervention targets including self-efficacy, dietary behavior, and family/friend involvement during the intervention period; these improvements mediated post-intervention HbA1c improvements (total indirect effect -0.27 %; 95 % CI [-0.49 %, -0.09 %]) and sustained HbA1c improvements at 12 months (total indirect effect -0.19 %; 95 % CI [-0.40 %, -0.01 %]). CONCLUSIONS Despite improvements in most intervention targets, HbA1c improved only among PWDs engaging non-cohabitating support persons suggesting future family interventions should emphasize inclusion of these relationships. Future work should also seek to identify intervention targets that mediate improvements in HbA1c.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - McKenzie K Roddy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Erin M Bergner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Merna El-Rifai
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James E Aikens
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Ruth Q Wolever
- Department of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, USA; Osher Center for Integrative Health at Vanderbilt, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tom A Elasy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
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Roddy MK, Spieker AJ, Nelson LA, Greevy RA, LeStourgeon LM, Bergner EM, El-Rifai M, Elasy TA, Aikens JE, Wolever RQ, Mayberry LS. Well-being outcomes of a family-focused intervention for persons with type 2 diabetes and support persons: Main, mediated, and subgroup effects from the FAMS 2.0 RCT. Diabetes Res Clin Pract 2023; 204:110921. [PMID: 37742801 PMCID: PMC10617415 DOI: 10.1016/j.diabres.2023.110921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/12/2023] [Accepted: 09/20/2023] [Indexed: 09/26/2023]
Abstract
AIMS Type 2 diabetes self-management occurs within social contexts. We sought to test the effects of Family/friend Activation to Motivate Self-care (FAMS), a self-care support intervention delivered via mobile phones, on psychosocial outcomes for persons with diabetes (PWDs) and their support persons. METHODS PWDs had the option to enroll with a friend/family member as a support person in a 15-month RCT to evaluate FAMS versus enhanced usual care. FAMS included 9 months of monthly phone coaching and text message support for PWDs, and text message support for enrolled support persons. RESULTS PWDs (N = 329) were 52% male and 39% reported minoritized race or ethnicity ; 50% enrolled with elevated diabetes distress. Support persons (N = 294) were 26% male and 33% reported minoritized race or ethnicity. FAMS improved PWDs' diabetes distress (d = -0.19) and global well-being (d = 0.21) during the intervention, with patterns of larger effects among minoritized groups. Post-intervention (9-month) and sustained (15-month) improvements were driven by changes in PWDs' self-efficacy, self-care behaviors, and autonomy support. Among support persons, FAMS improved helpful involvement without increasing burden or harmful involvement. CONCLUSIONS FAMS improved PWDs' psychosocial well-being, with post-intervention and sustained improvements driven by improved self-efficacy, self-care, and autonomy support. Support persons increased helpful involvement without adverse effects.
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Affiliation(s)
- McKenzie K Roddy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Andrew J Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Erin M Bergner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Merna El-Rifai
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Tom A Elasy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - James E Aikens
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Ruth Q Wolever
- Department of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, United States; Osher Center for Integrative Health at Vanderbilt, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
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Roddy MK, Spieker AJ, Nelson LA, Greevy RA, LeStourgeon LM, Bergner EM, El-Rifai M, Elasy TA, Aikens JE, Wolever RQ, Mayberry LS. Well-being outcomes of a family-focused intervention for persons with type 2 diabetes and support persons: Main, mediated, and subgroup effects from the FAMS 2.0 RCT. medRxiv 2023:2023.09.11.23295375. [PMID: 37745314 PMCID: PMC10516078 DOI: 10.1101/2023.09.11.23295375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Aims Type 2 diabetes self-management occurs within social contexts. We sought to test the effects of Family/friends Activation to Motivate Self-care (FAMS), a self-care support intervention delivered via mobile phones, on psychosocial outcomes for persons with diabetes (PWDs) and their support persons. Methods PWDs had the option to enroll with a friend/family member as a support person in a 15-month RCT to evaluate FAMS versus enhanced usual care. FAMS included 9-months of monthly phone coaching and text message support for PWDs, and text message support for enrolled support persons. Results PWDs (N=329) were 52% male and 39% from minoritized racial or ethnic groups; 50% enrolled with elevated diabetes distress. Support persons (N=294) were 26% male and 33% minoritized racial or ethnic groups. FAMS improved PWDs' diabetes distress ( d =-0.19) and global well-being ( d =0.21) during the intervention, with patterns of larger effects among minoritized groups. Post-intervention and sustained (15-month) improvements were driven by changes in PWDs' self-efficacy, self-care behaviors, and autonomy support. Among support persons, FAMS improved helpful involvement without increasing burden or harmful involvement. Conclusions FAMS improved PWDs' psychosocial well-being, with post-intervention and sustained improvements driven by improved self-efficacy, self-care, and autonomy support. Support persons increased helpful involvement without adverse effects.
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Affiliation(s)
- McKenzie K. Roddy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Andrew J. Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Robert A. Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Lauren M. LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Erin M. Bergner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Merna El-Rifai
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Tom A. Elasy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - James E. Aikens
- Department of Family Medicine, University of Michigan, Ann Arbor, MI
| | - Ruth Q. Wolever
- Department of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN
- Osher Center for Integrative Health at Vanderbilt, Vanderbilt University Medical Center, Nashville, TN
| | - Lindsay S. Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
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Nelson LA, Spieker AJ, Greevy RA, Roddy MK, LeStourgeon LM, Bergner EM, El-Rifai M, Aikens JE, Wolever RQ, Elasy TA, Mayberry LS. Glycemic outcomes of a family-focused intervention for adults with type 2 diabetes: Main, mediated, and subgroup effects from the FAMS 2.0 RCT. medRxiv 2023:2023.09.11.23295374. [PMID: 37745473 PMCID: PMC10516064 DOI: 10.1101/2023.09.11.23295374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Aims Family/friends Activation to Motivate Self-care (FAMS) is a self-care support intervention delivered via mobile phones. We evaluated FAMS effects on hemoglobin A1c (HbA1c) and intervention targets among adults with type 2 diabetes in a 15-month RCT. Methods Persons with diabetes (PWDs) and their support persons (family/friend, optional) were randomized to FAMS or control. FAMS included monthly phone coaching and text messages for PWDs, and text messages for support persons over a 9-month intervention period. Results PWDs (N=329) were 52% male, 39% from minoritized racial or ethnic groups, with mean HbA1c 8.6±1.7%. FAMS improved HbA1c among PWDs with a non-cohabitating support person (-0.64%; 95% CI [-1.22%, -0.05%]), but overall effects were not significant. FAMS improved intervention targets including self-efficacy, dietary behavior, and family/friend involvement during the intervention period; these improvements mediated post-intervention HbA1c improvements (total indirect effect -0.27%; 95% CI [-0.49%, -0.09%]) and sustained HbA1c improvements at 12 months (total indirect effect -0.19%; 95% CI [-0.40%, -0.01%]). Conclusions Despite improvements in most intervention targets, HbA1c improved only among PWDs engaging non-cohabitating support persons suggesting future family interventions should emphasize inclusion of these relationships. Future work should also seek to identify intervention targets that mediate improvements in HbA1c.
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Affiliation(s)
- Lyndsay A. Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew J. Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert A. Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - McKenzie K. Roddy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lauren M. LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Erin M. Bergner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Merna El-Rifai
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James E. Aikens
- Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Ruth Q. Wolever
- Department of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN, USA
- Osher Center for Integrative Health at Vanderbilt, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Tom A. Elasy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lindsay S. Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
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Cai LY, Tanase C, Anderson AW, Patel NJ, Lee CA, Jones RS, LeStourgeon LM, Mahon A, Taki I, Juvera J, Pruthi S, Gwal K, Ozturk A, Kang H, Rewers A, Rewers MJ, Alonso GT, Glaser N, Ghetti S, Jaser SS, Landman BA, Jordan LC. Exploratory Multisite MR Spectroscopic Imaging Shows White Matter Neuroaxonal Loss Associated with Complications of Type 1 Diabetes in Children. AJNR Am J Neuroradiol 2023; 44:820-827. [PMID: 37263786 PMCID: PMC10337627 DOI: 10.3174/ajnr.a7895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 05/03/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND AND PURPOSE Type 1 diabetes affects over 200,000 children in the United States and is associated with an increased risk of cognitive dysfunction. Prior single-site, single-voxel MRS case reports and studies have identified associations between reduced NAA/Cr, a marker of neuroaxonal loss, and type 1 diabetes. However, NAA/Cr differences among children with various disease complications or across different brain tissues remain unclear. To better understand this phenomenon and the role of MRS in characterizing it, we conducted a multisite pilot study. MATERIALS AND METHODS In 25 children, 6-14 years of age, with type 1 diabetes across 3 sites, we acquired T1WI and axial 2D MRSI along with phantom studies to calibrate scanner effects. We quantified tissue-weighted NAA/Cr in WM and deep GM and modeled them against study covariates. RESULTS We found that MRSI differentiated WM and deep GM by NAA/Cr on the individual level. On the population level, we found significant negative associations of WM NAA/Cr with chronic hyperglycemia quantified by hemoglobin A1c (P < .005) and a history of diabetic ketoacidosis at disease onset (P < .05). We found a statistical interaction (P < .05) between A1c and ketoacidosis, suggesting that neuroaxonal loss from ketoacidosis may outweigh that from poor glucose control. These associations were not present in deep GM. CONCLUSIONS Our pilot study suggests that MRSI differentiates GM and WM by NAA/Cr in this population, disease complications may lead to neuroaxonal loss in WM in children, and deeper investigation is warranted to further untangle how diabetic ketoacidosis and chronic hyperglycemia affect brain health and cognition in type 1 diabetes.
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Affiliation(s)
- L Y Cai
- From the Department of Biomedical Engineering (L.Y.C., A.W.A., B.A.L.)
| | - C Tanase
- Departments of Psychiatry and Behavioral Sciences (C.T.)
| | - A W Anderson
- From the Department of Biomedical Engineering (L.Y.C., A.W.A., B.A.L.)
- Vanderbilt University Institute of Imaging Science (A.W.A., B.A.L.)
- Departments of Radiology and Radiological Sciences (A.W.A., S.P., B.A.L.)
| | - N J Patel
- Pediatrics (N.J.P., R.S.J., S.S.J., L.C.J.)
| | | | - R S Jones
- Pediatrics (N.J.P., R.S.J., S.S.J., L.C.J.)
| | | | - A Mahon
- Psychology (A.M., S.G.), University of California, Davis, Davis, California
| | - I Taki
- Department of Pediatrics (I.T., A.R., M.J.R.)
| | - J Juvera
- Department of Psychiatry (J.J.), University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - S Pruthi
- Departments of Radiology and Radiological Sciences (A.W.A., S.P., B.A.L.)
| | - K Gwal
- Departments of Radiology (K.G., A.O.)
| | - A Ozturk
- Departments of Radiology (K.G., A.O.)
| | - H Kang
- Biostatistics (H.K.), Vanderbilt University Medical Center, Nashville, Tennessee
| | - A Rewers
- Department of Pediatrics (I.T., A.R., M.J.R.)
| | - M J Rewers
- Department of Pediatrics (I.T., A.R., M.J.R.)
| | | | - N Glaser
- Pediatrics (N.G.), University of California Davis Health, University of California Davis School of Medicine, Sacramento, California
| | - S Ghetti
- Psychology (A.M., S.G.), University of California, Davis, Davis, California
| | - S S Jaser
- Pediatrics (N.J.P., R.S.J., S.S.J., L.C.J.)
| | - B A Landman
- From the Department of Biomedical Engineering (L.Y.C., A.W.A., B.A.L.)
- Vanderbilt University Institute of Imaging Science (A.W.A., B.A.L.)
- Department of Electrical and Computer Engineering (B.A.L.), Vanderbilt University, Nashville, Tennessee
- Departments of Radiology and Radiological Sciences (A.W.A., S.P., B.A.L.)
| | - L C Jordan
- Pediatrics (N.J.P., R.S.J., S.S.J., L.C.J.)
- Neurology (C.A.L., L.C.J.)
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Nelson LA, Roddy MK, Bergner EM, Gonzalez J, Gentry C, LeStourgeon LM, Kripalani S, Hull PC, Mayberry LS. Exploring determinants and strategies for implementing self-management support text messaging interventions in safety net clinics. J Clin Transl Sci 2022; 6:e126. [PMID: 36590364 PMCID: PMC9794969 DOI: 10.1017/cts.2022.503] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 10/28/2022] [Accepted: 11/04/2022] [Indexed: 11/16/2022] Open
Abstract
Background Text message-delivered interventions for chronic disease self-management have potential to reduce health disparities, yet limited research has explored implementing these interventions into clinical care. We partnered with safety net clinics to evaluate a texting intervention for type 2 diabetes called REACH (Rapid Encouragement/Education And Communications for Health) in a randomized controlled trial. Following evaluation, we explored potential implementation determinants and recommended implementation strategies. Methods We interviewed clinic staff (n = 14) and a subset of intervention participants (n = 36) to ask about REACH's implementation potential. Using the Consolidated Framework for Implementation Research (CFIR) as an organizing framework, we coded transcripts and used thematic analysis to derive implementation barriers and facilitators. We integrated the CFIR-ERIC (Expert Recommendations for Implementing Change) Matching Tool, interview feedback, and the literature to recommend implementation strategies. Results Implementation facilitators included low complexity, strong evidence and quality, available clinic resources, the need for a program to support diabetes self-management, and strong fit between REACH and both the clinics' existing workflows and patients' needs and resources. The barriers included REACH only being available in English, a lack of interoperability with electronic health record systems, patients' concerns about diabetes stigma, limited funding, and high staff turnover. Categories of recommended implementation strategies included training and education, offering flexibility and adaptation, evaluating key processes, and securing funding. Conclusion Text message-delivered interventions have strong potential for integration in low-resource settings as a supplement to care. Pursuing implementation can ensure patients benefit from these innovations and help close the research to practice gap.
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Affiliation(s)
- Lyndsay A. Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - McKenzie K. Roddy
- Quality Scholars Program, VA Tennessee Valley Healthcare System, US Department of Veteran Affairs, Nashville, TN, USA
| | - Erin M. Bergner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jesus Gonzalez
- College of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Chad Gentry
- Department of Pharmacy, College of Pharmacy and Health Sciences, Lipscomb University, Nashville, TN, USA
| | | | - Sunil Kripalani
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Pamela C. Hull
- Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, USA
| | - Lindsay S. Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
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Inverso H, LeStourgeon LM, Parmar A, Bhangui I, Hughes B, Straton E, Alford M, Streisand R, Jaser SS. Demographic and Glycemic Factors Linked With Diabetes Distress in Teens With Type 1 Diabetes. J Pediatr Psychol 2022; 47:1081-1089. [PMID: 35656859 PMCID: PMC9801711 DOI: 10.1093/jpepsy/jsac049] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 05/12/2022] [Accepted: 05/12/2022] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE Diabetes distress (DD) is a negative emotional response related to the burdens of living with type 1 diabetes (T1D) and is linked with diabetes outcomes, such as hemoglobin A1c (A1c). Yet, less is known about how other glycemic indicators, average blood glucose and time in range, relate to DD, and which demographic characteristics are associated with higher DD. METHODS In total, 369 teens (Mage 15.6 ± 1.4, 51% female, MT1D duration 6.7 ± 3.8 years) screened for DD using The Problem Areas in Diabetes-Teen Version to determine eligibility for an ongoing multi-site behavioral trial. The associations of DD, demographic factors, and glycemic indicators (A1c, average blood glucose, and time in range) were analyzed. RESULTS Twenty-nine percent of teens (n = 95) scored above the clinical cutoff (≥44) for DD. Females scored significantly higher on average than males. Black/African American, non-Hispanic youth screened significantly higher compared to youth from other racial/ethnic groups. Higher DD scores were related to higher A1c and average blood glucose, and lower time in range. Logistic regression models revealed that females were significantly more likely to report clinically elevated DD than males, and teens with higher A1c were 1.3 times more likely to report DD. Age and diabetes duration were not significantly associated with clinically elevated DD scores. CONCLUSIONS Results demonstrated that DD is most prevalent in Black, non-Hispanic and female teens, and DD is associated with higher average blood glucose and lower time in range. Further investigation into these disparities is warranted to promote optimal health outcomes for teens with T1D.
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Affiliation(s)
- Hailey Inverso
- Children’s National Hospital, Center for Translational Research, USA
| | | | - Angie Parmar
- Department of Pediatrics, Vanderbilt University Medical Center, USA
| | - Isha Bhangui
- Children’s National Hospital, Center for Translational Research, USA
| | - Bailey Hughes
- Department of Pediatrics, Vanderbilt University Medical Center, USA
| | - Emma Straton
- Children’s National Hospital, Center for Translational Research, USA
| | - Madeleine Alford
- Children’s National Hospital, Center for Translational Research, USA
| | - Randi Streisand
- Children’s National Hospital, Center for Translational Research, USA,The George Washington University School of Medicine, USA
| | - Sarah S Jaser
- All correspondence concerning this article should be addressed to Sarah S. Jaser, PhD, Department of Pediatrics, Vanderbilt University Medical Center, 2146 Belcourt Ave., Nashville, TN 37232, USA. E-mail:
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10
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Gregory JM, Slaughter JC, Duffus SH, Smith TJ, LeStourgeon LM, Jaser SS, McCoy AB, Luther JM, Giovannetti ER, Boeder S, Pettus JH, Moore DJ. Erratum. COVID-19 Severity Is Tripled in the Diabetes Community: A Prospective Analysis of the Pandemic's Impact in Type 1 and Type 2 Diabetes. Diabetes Care 2021;44:526-532. Diabetes Care 2022; 45:1299. [PMID: 35235947 PMCID: PMC9174957 DOI: 10.2337/dc22-er05c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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11
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Cai LY, Tanase C, Anderson AW, Ramadass K, Rheault F, Lee CA, Patel NJ, Jones S, LeStourgeon LM, Mahon A, Pruthi S, Gwal K, Ozturk A, Kang H, Glaser N, Ghetti S, Jaser SS, Jordan LC, Landman BA. Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability. Proc SPIE Int Soc Opt Eng 2022; 12032:120323U. [PMID: 36303580 PMCID: PMC9604061 DOI: 10.1117/12.2611553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Type 1 diabetes (T1D) affects over 200,000 children and is associated with an increased risk of cognitive dysfunction. Prior imaging studies suggest the neurological changes underlying this risk are multifactorial, including macrostructural, microstructural, and inflammatory changes. However, these studies have yet to be integrated, limiting investigation into how these phenomena interact. To better understand these complex mechanisms of brain injury, a well-powered, prospective, multisite, and multimodal neuroimaging study is needed. We take the first step in accomplishing this with a preliminary characterization of multisite, multimodal MRI quality, motion, and variability in pediatric T1D. We acquire structural T1 weighted (T1w) MRI, diffusion tensor MRI (DTI), functional MRI (fMRI), and magnetic resonance spectroscopy (MRS) of 5-7 participants from each of two sites. First, we assess the contrast-to-noise ratio of the T1w MRI and find no differences between sites. Second, we characterize intervolume motion in DTI and fMRI and find it to be on the subvoxel level. Third, we investigate variability in regional gray matter volumes and local gyrification indices, bundle-wise DTI microstructural measures, and N-acetylaspartate to creatine ratios. We find the T1-based measures to be comparable between sites before harmonization and the DTI and MRS-based measures to be comparable after. We find a 5-15% coefficient of variation for most measures, suggesting ~150-200 participants per group on average are needed to detect a 5% difference across these modalities at 0.9 power. We conclude that multisite, multimodal neuroimaging of pediatric T1D is feasible with low motion artifact after harmonization of DTI and MRS.
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Affiliation(s)
- Leon Y. Cai
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Costin Tanase
- Department of Psychiatry, University of California, Davis, Davis, CA, USA
| | - Adam W. Anderson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA,Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Francois Rheault
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Chelsea A. Lee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Niral J. Patel
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sky Jones
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Alix Mahon
- Department of Psychology, University of California, Davis, Davis, CA, USA
| | - Sumit Pruthi
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kriti Gwal
- Department of Radiology, UC Davis Health, UC Davis School of Medicine, Sacramento, CA, USA
| | - Arzu Ozturk
- Department of Radiology, UC Davis Health, UC Davis School of Medicine, Sacramento, CA, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Nicole Glaser
- Department of Pediatrics, UC Davis Health, UC Davis School of Medicine, Sacramento, CA, USA
| | - Simona Ghetti
- Department of Psychology, University of California, Davis, Davis, CA, USA
| | - Sarah S. Jaser
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lori C. Jordan
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA,Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A. Landman
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA,Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA,Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
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12
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Gregory JM, Slaughter JC, Duffus SH, Smith TJ, LeStourgeon LM, Jaser SS, McCoy AB, Luther JM, Giovannetti ER, Boeder S, Pettus JH, Moore DJ. Response to Comment on Gregory et al. COVID-19 Severity Is Tripled in the Diabetes Community: A Prospective Analysis of the Pandemic's Impact in Type 1 and Type 2 Diabetes. Diabetes Care 2021;44:526-532. Diabetes Care 2021; 44:e103-e104. [PMID: 33972321 PMCID: PMC8132332 DOI: 10.2337/dci21-0005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Justin M Gregory
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - James C Slaughter
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Sara H Duffus
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - T Jordan Smith
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - Lauren M LeStourgeon
- Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Sarah S Jaser
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - Allison B McCoy
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN
| | - James M Luther
- Division of Clinical Pharmacology, Vanderbilt University School of Medicine, Nashville, TN
| | - Erin R Giovannetti
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | - Schafer Boeder
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | - Jeremy H Pettus
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | - Daniel J Moore
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
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Nelson LA, Williamson SE, LeStourgeon LM, Mayberry LS. Retaining diverse adults with diabetes in a long-term trial: Strategies, successes, and lessons learned. Contemp Clin Trials 2021; 105:106388. [PMID: 33812991 DOI: 10.1016/j.cct.2021.106388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 03/25/2021] [Accepted: 03/28/2021] [Indexed: 11/30/2022]
Abstract
Background Retention can be difficult in longitudinal trials, especially among minoritized groups and individuals with low socioeconomic status (SES) who may experience more barriers to research participation. Organized retention strategies may help; however, limited research has reported on this in detail. Methods We employed several strategies throughout a 15-month randomized controlled trial to encourage retention among a diverse sample of adults with type 2 diabetes. Participants were randomized to receive mobile health support for diabetes self-care for 12 months or an attention control. Participants completed assessments at 3, 6, 12, and 15 months post-baseline. We used three main categories of retention strategies: flexibility in participation (e.g., multiple methods for data collection), communication (e.g., tracking contacts), and community building (e.g., study branding, newsletters). We monitored participants' use of strategies and examined associations between participant characteristics and retention. Results Retention remained high (≥90%) at each follow-up assessment. Participants used various methods for survey completion: online (34%), in-person (31%), and mail (30%). Most (73%) used a mail-in A1c kit at least once. Multiple completion methods were important for retaining minoritized and lower SES participants who completed assessments in-person more frequently. Communication also facilitated retention; 39% of participants used a study Helpline and tracking systems helped maintain contact. Conclusions Retaining disadvantaged patients in clinical trials is necessary so findings generalize to and can benefit these populations. Retention strategies that reduce barriers to participation and engage participants and community partners can be successful. Future studies should assess the impact of retention strategies.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Diabetes Translation Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah E Williamson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA; DeBusk College of Osteopathic Medicine, Lincoln Memorial University, Knoxville, TN, USA
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Diabetes Translation Research, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
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14
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Gregory JM, Slaughter JC, Duffus SH, Smith TJ, LeStourgeon LM, Jaser SS, McCoy AB, Luther JM, Giovannetti ER, Boeder S, Pettus JH, Moore DJ. COVID-19 Severity Is Tripled in the Diabetes Community: A Prospective Analysis of the Pandemic's Impact in Type 1 and Type 2 Diabetes. Diabetes Care 2021; 44:526-532. [PMID: 33268335 PMCID: PMC7818316 DOI: 10.2337/dc20-2260] [Citation(s) in RCA: 167] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 11/10/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To quantify and contextualize the risk for coronavirus disease 2019 (COVID-19)-related hospitalization and illness severity in type 1 diabetes. RESEARCH DESIGN AND METHODS We conducted a prospective cohort study to identify case subjects with COVID-19 across a regional health care network of 137 service locations. Using an electronic health record query, chart review, and patient contact, we identified clinical factors influencing illness severity. RESULTS We identified COVID-19 in 6,138, 40, and 273 patients without diabetes and with type 1 and type 2 diabetes, respectively. Compared with not having diabetes, people with type 1 diabetes had adjusted odds ratios of 3.90 (95% CI 1.75-8.69) for hospitalization and 3.35 (95% CI 1.53-7.33) for greater illness severity, which was similar to risk in type 2 diabetes. Among patients with type 1 diabetes, glycosylated hemoglobin (HbA1c), hypertension, race, recent diabetic ketoacidosis, health insurance status, and less diabetes technology use were significantly associated with illness severity. CONCLUSIONS Diabetes status, both type 1 and type 2, independently increases the adverse impacts of COVID-19. Potentially modifiable factors (e.g., HbA1c) had significant but modest impact compared with comparatively static factors (e.g., race and insurance) in type 1 diabetes, indicating an urgent and continued need to mitigate severe acute respiratory syndrome coronavirus 2 infection risk in this community.
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Affiliation(s)
- Justin M Gregory
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - James C Slaughter
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Sara H Duffus
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - T Jordan Smith
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - Lauren M LeStourgeon
- Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN
| | - Sarah S Jaser
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
| | - Allison B McCoy
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN
| | - James M Luther
- Division of Clinical Pharmacology, Vanderbilt University School of Medicine, Nashville, TN
| | - Erin R Giovannetti
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | - Schafer Boeder
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | - Jeremy H Pettus
- Division of Endocrinology and Metabolism, Department of Medicine, University of California, San Diego, La Jolla, CA
| | - Daniel J Moore
- Ian M. Burr Division of Pediatric Endocrinology and Diabetes, Vanderbilt University School of Medicine, Nashville, TN
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15
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Nelson LA, Greevy RA, Spieker A, Wallston KA, Elasy TA, Kripalani S, Gentry C, Bergner EM, LeStourgeon LM, Williamson SE, Mayberry LS. Effects of a Tailored Text Messaging Intervention Among Diverse Adults With Type 2 Diabetes: Evidence From the 15-Month REACH Randomized Controlled Trial. Diabetes Care 2021; 44:26-34. [PMID: 33154039 PMCID: PMC7783936 DOI: 10.2337/dc20-0961] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 10/02/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Text messaging interventions have high potential for scalability and for reductions in health disparities. However, more rigorous, long-term trials are needed. We examined the long-term efficacy and mechanisms of a tailored text messaging intervention. RESEARCH DESIGN AND METHODS Adults with type 2 diabetes participated in a parallel-groups, 15-month randomized controlled trial and were assigned to receive Rapid Education/Encouragement and Communications for Health (REACH) for 12 months or control. REACH included interactive texts and tailored texts addressing medication adherence and nontailored texts supporting other self-care behaviors. Outcomes included hemoglobin A1c (HbA1c), diabetes medication adherence, self-care, and self-efficacy. RESULTS Participants (N = 506) were approximately half racial/ethnic minorities, and half were underinsured, had annual household incomes <$35,000, and had a high school education or less; 11% were homeless. Average baseline HbA1c was 8.6% ± 1.8%; 70.0 ± 19.7 mmol/mol) with n = 219 having HbA1c ≥8.5% (69 mmol/mol). Half were prescribed insulin. Retention was over 90%. Median response rate to interactive texts was 91% (interquartile range 75%, 97%). The treatment effect on HbA1c at 6 months (-0.31%; 95% CI -0.61%, -0.02%) was greater among those with baseline HbA1c ≥8.5% (-0.74%; 95% CI -1.26%, -0.23%), and there was no evidence of effect modification by race/ethnicity or socioeconomic disadvantage. REACH improved medication adherence and diet through 12 months and self-efficacy through 6 months. Treatment effects were not significant for any outcome at 15 months. REACH reduced barriers to adherence, but barrier reduction did not mediate outcome improvements. CONCLUSIONS REACH engaged at-risk patients in diabetes self-management and improved short-term HbA1c. More than texts alone may be needed to sustain the effects.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Robert A Greevy
- Department of Biostatistics, Vanderbilt University, Nashville, TN
| | - Andrew Spieker
- Department of Biostatistics, Vanderbilt University, Nashville, TN
| | - Kenneth A Wallston
- Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN
| | - Tom A Elasy
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Diabetes Translation Research, Vanderbilt University Medical Center, Nashville, TN
| | - Sunil Kripalani
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Chad Gentry
- Department of Pharmacy, College of Pharmacy and Health Sciences, Lipscomb University, Nashville, TN
| | - Erin M Bergner
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Sarah E Williamson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
- Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN
- Center for Diabetes Translation Research, Vanderbilt University Medical Center, Nashville, TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
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16
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Nelson LA, Spieker A, Greevy R, LeStourgeon LM, Wallston KA, Mayberry LS. User Engagement Among Diverse Adults in a 12-Month Text Message-Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial. JMIR Mhealth Uhealth 2020; 8:e17534. [PMID: 32706738 PMCID: PMC7404018 DOI: 10.2196/17534] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 04/06/2020] [Accepted: 06/03/2020] [Indexed: 01/17/2023] Open
Abstract
Background Text message–delivered interventions are a feasible and scalable approach for improving chronic disease self-care and reducing health disparities; however, information on long-term user engagement with these interventions is limited. Objective The aim of this study is to examine user engagement in a 12-month text message–delivered intervention supporting diabetes self-care, called REACH (Rapid Education/Encouragement And Communications for Health), among racially and socioeconomically diverse patients with type 2 diabetes (T2D). We explored time trends in engagement, associations between patient characteristics and engagement, and whether the addition of a human component or allowing patients to change their text frequency affected engagement. Qualitative data informed patients’ subjective experience of their engagement. Methods We recruited patients with T2D for a randomized trial evaluating mobile phone support relative to enhanced treatment as usual. This analysis was limited to participants assigned to the intervention. Participants completed a survey and hemoglobin A1c (HbA1c) test and received REACH text messages, including self-care promotion texts, interactive texts asking about medication adherence, and adherence feedback texts. For the first 6 months, texts were sent daily, and half of the participants also received monthly phone coaching. After 6 months, coaching stopped, and participants had the option to receive fewer texts for the subsequent 6 months. We defined engagement via responses to the interactive texts and responses to a follow-up interview. We used regression models to analyze associations with response rate and thematic and structural analysis to understand participants’ reasons for responding to the texts and their preferred text frequency. Results The participants were, on average, aged 55.8 (SD 9.8) years, 55.2% (137/248) female, and 52.0% (129/248) non-White; 40.7% (101/248) had ≤ a high school education, and 40.7% (101/248) had an annual household income <US $25,000. The median response rate to interactive texts was 91% (IQR 75%-97%) over 12 months. Engagement gradually declined throughout the intervention but remained high. Engagement did not differ by age, gender, education, income, diabetes duration, insulin status, health literacy, or numeracy. Black race and worse baseline medication adherence and HbA1c were each associated with lower engagement, although the effects were small. Nearly half of the participants chose to continue receiving daily texts for the last 6 months of the intervention. Participants who continued daily text messages said they wanted to continue experiencing benefits to their health, whereas those who chose fewer texts said that the daily texts had helped them create routines and they no longer needed them as often. Engagement was not impacted by receiving coaching or by participants’ chosen text frequency. Conclusions Well-designed interactive text messages can engage diverse patients in a self-care intervention for at least 1 year. Variation in and reasons for frequency preference suggest that offering a frequency choice may be important to users’ engagement.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.,Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Andrew Spieker
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Robert Greevy
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.,Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Kenneth A Wallston
- Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States.,Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, United States.,Center for Diabetes Translation Research, Vanderbilt University Medical Center, Nashville, TN, United States.,Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
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Nelson LA, Wallston KA, Kripalani S, LeStourgeon LM, Williamson SE, Mayberry LS. Assessing barriers to diabetes medication adherence using the Information-Motivation-Behavioral skills model. Diabetes Res Clin Pract 2018; 142:374-384. [PMID: 29879495 PMCID: PMC6083841 DOI: 10.1016/j.diabres.2018.05.046] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 03/29/2018] [Accepted: 05/24/2018] [Indexed: 11/20/2022]
Abstract
AIMS Medication nonadherence is a prevalent and costly problem among patients with type 2 diabetes. Applications of theory can inform and improve adherence promotion interventions. We used a new assessment based on the Information-Motivation-Behavioral skills (IMB) model of adherence to assess patient-reported barriers and test the theoretical model. METHODS Participants (N = 237) completed a card sorting task to identify barriers to adherence, a survey, and a hemoglobin A1c (HbA1c) test. We identified the most commonly reported adherence barriers and examined associations between patient characteristics and barriers mapped onto each of the IMB constructs. We used structural equation modeling to test the IMB model and determine if barriers as reported on this measure predict patients' self-reported diabetes medication adherence and, in turn, HbA1c levels. RESULTS The most frequently reported barriers were forgetting doses, thinking brand name medicine works better than generic medicine, not seeing immediate benefit, and feeling burned out with taking diabetes medicine. Younger age and lower health literacy were associated with higher barrier scores for all IMB model constructs. Information and social motivation barriers affected adherence via behavioral skills barriers (indirect effects -0.19, CI [-0.33, -0.09] and -0.24, CI [-0.37, -0.14], respectively). The IMB barrier constructs explained 44% of the variance in diabetes medication adherence which, in turn, was significantly associated with and explained 8% of the variance in HbA1c (both p < .001). CONCLUSIONS Results suggest this assessment task can identify patient-specific barriers to diabetes medication adherence. Interventions targeting patient-specific barriers using this assessment could improve adherence and HbA1c.
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Affiliation(s)
- Lyndsay A Nelson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kenneth A Wallston
- School of Nursing, Vanderbilt University, Nashville, TN, USA; Center for Health Services Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sunil Kripalani
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lauren M LeStourgeon
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah E Williamson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lindsay S Mayberry
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Health Behavior and Health Education, Vanderbilt University Medical Center, Nashville, TN, USA; Center for Clinical Quality and Implementation Research, Vanderbilt University Medical Center, Nashville, TN, USA.
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