Literature DB >> 29583057

Remote Patient Monitoring and Clinical Outcomes for Postdischarge Patients with Type 2 Diabetes.

Tzeyu L Michaud1,2, Mohammad Siahpush2, Robert J Schwab3, Leslie A Eiland4, Mary DeVany5, Geri Hansen5, Tammy S Slachetka5, Eugene Boilesen6, Hyo Jung Tak7, Fernando A Wilson7, Hongmei Wang7, José A Pagán8,9,10, Dejun Su1,2.   

Abstract

The objective of this study was to evaluate changes in clinical outcomes for patients with type 2 diabetes (T2D) after a 3-month remote patient monitoring (RPM) program, and examine the relationship between hemoglobin A1c (HbA1c) outcomes and participant characteristics. The study sample included 955 patients with T2D who were admitted to an urban Midwestern medical center for any reason from 2014 to 2017, and used RPM for 3 months after discharge. Clinical outcomes included HbA1c, weight, body mass index (BMI), and patient activation scores. Logistic regression was used to estimate the likelihood of having a postintervention HbA1c <9% by patient characteristics, among those who had baseline HbA1c >9%. Most patients experienced decreases in HbA1c (67%) and BMI (58%), and increases in patient activation scores (67%) (P < 0.001 in all 3 cases) at the end of RPM. Logistic regression analyses revealed that among patients who had HbA1c >9% at baseline, men (odds ratio [OR] = 3.72; 95% confidence interval [CI], 1.43-9.64), those who had increased patient activation scores after intervention (OR = 1.05; 95% CI, 1.01-1.09), those who had higher baseline patient activation scores, and those who had a greater number of biometric data uploads during the intervention (OR = 1.02; 95% CI, 1.00-1.04) were more likely to have reduced their HbA1c to <9% at the end of RPM. RPM for postdischarge patients with T2D might be a promising approach for HbA1c control with increased patient engagement. Future studies with study designs that include a control group should provide more robust evidence.

Entities:  

Keywords:  HbA1c; disease management; patient activation; telehealth; telemedicine

Mesh:

Substances:

Year:  2018        PMID: 29583057     DOI: 10.1089/pop.2017.0175

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  4 in total

1.  Long-term Effects of Remote Patient Monitoring in Patients Living with Diabetes: A Retrospective Look at Participants of the Mississippi Diabetes Telehealth Network Study.

Authors:  Tearsanee Carlisle Davis; Ashley S Allen; Yunxi Zhang
Journal:  Telemed Rep       Date:  2022-06-28

2.  Effect of TELEmedicine for Inflammatory Bowel Disease on Patient Activation and Self-Efficacy.

Authors:  Zaid Bilgrami; Ameer Abutaleb; Kenechukwu Chudy-Onwugaje; Patricia Langenberg; Miguel Regueiro; David A Schwartz; J Kathleen Tracy; Leyla Ghazi; Seema A Patil; Sandra M Quezada; Katharine M Russman; Charlene C Quinn; Guruprasad Jambaulikar; Dawn B Beaulieu; Sara Horst; Raymond K Cross
Journal:  Dig Dis Sci       Date:  2019-01-02       Impact factor: 3.199

3.  An mHealth App-Based Self-management Intervention for Family Members of Pediatric Transplant Recipients (myFAMI): Framework Design and Development Study.

Authors:  Riddhiman Adib; Dipranjan Das; Sheikh Iqbal Ahamed; Stacee Marie Lerret
Journal:  JMIR Nurs       Date:  2022-01-04

4.  Piloting of the virtual telecare technology 'Addison Care' to promote self-management in persons with chronic diseases in a community setting: protocol for a mixed-methods user experience, user engagement and usability pilot study.

Authors:  Simon Krutter; Nadine Schuessler; Patrick Kutschar; Edin Šabić; Johanna Dellinger; Tabea Klausner; Nadja Nestler; Morgan Beasley; Bailey Henderson; Stefan Pitzer; Barbara Mitterlehner; Doris Langegger; Anna Winkler; Michael Kloesch; Roland Eßl-Maurer; Antje van der Zee-Neuen; Jürgen Osterbrink
Journal:  BMJ Open       Date:  2022-09-19       Impact factor: 3.006

  4 in total

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