TY - JOUR
T1 - Mobile Health (mHealth) Technology
T2 - Assessment of Availability, Acceptability, and Use in CKD
AU - CRIC Study Investigators
AU - Schrauben, Sarah J.
AU - Appel, Lawrence
AU - Rivera, Eleanor
AU - Lora, Claudia M.
AU - Lash, James P.
AU - Chen, Jing
AU - Hamm, L. Lee
AU - Fink, Jeffrey C.
AU - Go, Alan S.
AU - Townsend, Raymond R.
AU - Deo, Rajat
AU - Dember, Laura M.
AU - Feldman, Harold I.
AU - Diamantidis, Clarissa J.
AU - He, Jiang
AU - Nelson, Robert G.
AU - Rao, Panduranga S.
AU - Rahman, Mahboob
AU - Shah, Vallabh O.
AU - Unruh, Mark L.
N1 - Funding Information:
Jiang He, MD, PhD, Robert G. Nelson, MD, PhD, MS, Panduranga S. Rao, MD, Mahboob Rahman, MD, Vallabh O. Shah, PhD, MS, MD, and Mark L. Unruh, MD, MS. Sarah J. Schrauben, MD, MSCE, Lawrence Appel, MD, MPH, Eleanor Rivera, PhD, RN, Claudia M. Lora, MD, James P. Lash, MD, Jing Chen, MD, MMSc, L. Lee Hamm, MD, Jeffrey C. Fink, MD, Alan S. Go, MD, Raymond R. Townsend, MD, Rajat Deo, MD, MTR, Laura M. Dember, MD, Harold I. Feldman, MD, MSCE, and Clarissa J. Diamantidis, MD, MHS. Research idea and study design: SJS, CJD; data acquisition: LA, JC, LLH, JCF, ASG, RRT, HIF, JPL, CJD; data analysis/interpretation: SJS, ER, CML, JPL, JC, JCF, RD, LMD, HIF, CJD; statistical analysis: SJS; supervision or mentorship: LMD, HIF, CJD. Each author contributed important intellectual content during manuscript drafting or revision and agrees to be personally accountable for the individual's own contributions and to ensure that questions pertaining to the accuracy or integrity of any portion of the work, even one in which the author was not directly involved, are appropriately investigated and resolved, including with documentation in the literature if appropriate. The authors declare that they have no relevant financial interests. This work was supported by grants K23-DK099385-01A1 (CJD) and K23DK118198-01A1 (SJS) from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). RRT has received grants from US National Institutes of Health (NIH). Funding for the CRIC study was obtained under a cooperative agreement with NIDDK diseases (grants U01DK060990, U01DK060984, U01DK061022, U01DK061021, U01DK061028, U01DK060980, U01DK060963, U01DK060902, and U24DK060990). This work was also supported by a Perelman School of Medicine, University of Pennsylvania Clinical and Translational Science Award (NIH/NCATS UL1TR000003); Johns Hopkins University (UL1 TR-000424); University of Maryland (GCRC M01 RR-16500); Clinical and Translational Science Collaborative of Cleveland; National Center for Advancing Translational Sciences (NCATS) component of the NIH and NIH roadmap for Medical Research (award UL1TR000439); Michigan Institute for Clinical and Health Research (UL1TR000433); University of Illinois at Chicago Clinical and Translational Science Award (UL1RR029879); Tulane Center of Biomedical Research Excellence award for Clinical and Translational Research in Cardiometabolic Diseases (P20 GM109036); Kaiser Permanentee NIH/ National Center for Research Resources University of California San Francisco award (CTSI UL1 RR-024131); and Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM (R01DK119199). The funders had no role in study design, data collection, analysis, reporting, or the decision to submit for publication. Received March 1, 2020. Evaluated by 3 external peer reviewers and a statistician, with editorial input from an Acting Editor-in-Chief (Editorial Board Member Allison Tong, PhD). Accepted in revised form October 8, 2020. The involvement of an Acting Editor-in-Chief to handle the peer-review and decision-making processes complied with AJKD's procedures for potential conflicts of interest for editors, described in the Information for Authors & Journal Policies.
Funding Information:
This work was supported by grants K23-DK099385-01A1 (CJD) and K23DK118198-01A1 (SJS) from the National Institute of Diabetes and Digestive and Kidney Diseases ( NIDDK ). RRT has received grants from US National Institutes of Health ( NIH ). Funding for the CRIC study was obtained under a cooperative agreement with NIDDK diseases (grants U01DK060990, U01DK060984, U01DK061022, U01DK061021, U01DK061028, U01DK060980, U01DK060963, U01DK060902, and U24DK060990). This work was also supported by a Perelman School of Medicine, University of Pennsylvania Clinical and Translational Science Award ( NIH / NCATS UL1TR000003); Johns Hopkins University (UL1 TR-000424); University of Maryland (GCRC M01 RR-16500); Clinical and Translational Science Collaborative of Cleveland; National Center for Advancing Translational Sciences ( NCATS ) component of the NIH and NIH roadmap for Medical Research (award UL1TR000439); Michigan Institute for Clinical and Health Research (UL1TR000433); University of Illinois at Chicago Clinical and Translational Science Award (UL1RR029879); Tulane Center of Biomedical Research Excellence award for Clinical and Translational Research in Cardiometabolic Diseases (P20 GM109036); Kaiser Permanentee NIH / National Center for Research Resources University of California San Francisco award (CTSI UL1 RR-024131); and Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM (R01DK119199). The funders had no role in study design, data collection, analysis, reporting, or the decision to submit for publication.
Publisher Copyright:
© 2020 National Kidney Foundation, Inc.
PY - 2021/6
Y1 - 2021/6
N2 - Rationale & Objective: Digital and mobile health (mHealth) technologies improve patient-provider communication and increase information accessibility. We assessed the use of technology, attitudes toward using mHealth technologies, and proficiency in using mHealth technologies among individuals with chronic kidney disease (CKD). Study Design: Cross-sectional survey with open text responses. Setting & Participants: Chronic Renal Insufficiency Cohort (CRIC) Study participants who completed current use and interest in using mHealth technologies questionnaires and the eHealth literacy Survey (eHEALS). Exposure: Participant characteristics. Outcomes: Use of technology (ie, internet, email, smartphone, and mHealth applications [apps]), interest in future mHealth use, and proficiency in using digital and mHealth technologies, or eHealth literacy, determined by eHEALS score. Analytical Approach: Poisson regression and a qualitative content analysis of open-ended responses. Results: Study participants (n = 932) had a mean age of 68 years old and an estimated glomerular filtration rate (eGFR) of 54 mL/min/1.73 m2, and 59% were male. Approximately 70% reported current use of internet, email, and smartphones, and 35% used mHealth apps; only 27% had adequate eHealth literacy (eHEALS score ≥ 32). Participants <65 years of age (vs. ≥65), with more education, higher income, better cognition, and adequate health literacy reported more use of technology, and greater interest in using technologies. Participants of White (vs. non-White) race reported more use of internet and email but less interest in future use of mHealth. Younger age, higher annual income, and greater disease self-efficacy were associated with adequate eHealth literacy. Three themes regarding interest in using digital and mHealth technologies emerged: willingness, concerns, and barriers. Limitations: Residual confounding, ascertainment bias. Conclusions: Many individuals with CKD currently use the internet and smartphones and are interested in using mHealth in the future, but few use mHealth apps or have adequate eHealth literacy. mHealth technologies present an opportunity to engage individuals with CKD, especially members of racial or ethnic minority groups because those groups reported greater interest in using mHealth technology than the nonminority population. Further research is needed to identify strategies to overcome inadequate eHealth literacy.
AB - Rationale & Objective: Digital and mobile health (mHealth) technologies improve patient-provider communication and increase information accessibility. We assessed the use of technology, attitudes toward using mHealth technologies, and proficiency in using mHealth technologies among individuals with chronic kidney disease (CKD). Study Design: Cross-sectional survey with open text responses. Setting & Participants: Chronic Renal Insufficiency Cohort (CRIC) Study participants who completed current use and interest in using mHealth technologies questionnaires and the eHealth literacy Survey (eHEALS). Exposure: Participant characteristics. Outcomes: Use of technology (ie, internet, email, smartphone, and mHealth applications [apps]), interest in future mHealth use, and proficiency in using digital and mHealth technologies, or eHealth literacy, determined by eHEALS score. Analytical Approach: Poisson regression and a qualitative content analysis of open-ended responses. Results: Study participants (n = 932) had a mean age of 68 years old and an estimated glomerular filtration rate (eGFR) of 54 mL/min/1.73 m2, and 59% were male. Approximately 70% reported current use of internet, email, and smartphones, and 35% used mHealth apps; only 27% had adequate eHealth literacy (eHEALS score ≥ 32). Participants <65 years of age (vs. ≥65), with more education, higher income, better cognition, and adequate health literacy reported more use of technology, and greater interest in using technologies. Participants of White (vs. non-White) race reported more use of internet and email but less interest in future use of mHealth. Younger age, higher annual income, and greater disease self-efficacy were associated with adequate eHealth literacy. Three themes regarding interest in using digital and mHealth technologies emerged: willingness, concerns, and barriers. Limitations: Residual confounding, ascertainment bias. Conclusions: Many individuals with CKD currently use the internet and smartphones and are interested in using mHealth in the future, but few use mHealth apps or have adequate eHealth literacy. mHealth technologies present an opportunity to engage individuals with CKD, especially members of racial or ethnic minority groups because those groups reported greater interest in using mHealth technology than the nonminority population. Further research is needed to identify strategies to overcome inadequate eHealth literacy.
KW - chronic disease management
KW - chronic kidney disease (CKD)
KW - digital divide
KW - digital readiness
KW - eHealth literacy
KW - mHealth
KW - mobile health
KW - patient attitudes
KW - survey
KW - technological proficiency
KW - technology use
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U2 - 10.1053/j.ajkd.2020.10.013
DO - 10.1053/j.ajkd.2020.10.013
M3 - Article
C2 - 33309860
AN - SCOPUS:85101886482
SN - 0272-6386
VL - 77
SP - 941-950.e1
JO - American Journal of Kidney Diseases
JF - American Journal of Kidney Diseases
IS - 6
ER -