Literature DB >> 27027337

Secure Messaging in Electronic Health Records and Its Impact on Diabetes Clinical Outcomes: A Systematic Review.

Alyce Kuo1, Stuti Dang2,3.   

Abstract

UNLABELLED: In 2009, President Barack Obama signed into law the Health Information Technology for Economic and Clinical Health (HITECH) Act, which aims for the universal adoption of electronic health records (EHRs) in primary care settings and "meaningful use" of this technology. The objectives of "meaningful use" are well defined and executed in stages; one of the objectives of stage 2, beginning in 2014, was implementation of a secure messaging system between patients and providers. Secure messaging has been shown to positively affect patients who struggle with managing chronic diseases on a day to day basis. This review aims to assess the clinical evidence supporting the use of secure messaging in EHRs in self-management of diabetes.
METHODS: A systematic search of PubMed was conducted, and 320 results were returned. Of these, 11 were selected based on outlined criteria.
CONCLUSIONS: Evidence from 7 of the 11 included studies suggests significant improvement in patients' hemoglobin A1c (HbA1c) with the use of secure messaging. However, improvements in patients' secondary outcomes, such as blood pressure and cholesterol, were inconsistent. Further work must be done to determine how to best maximize the potential of available tools such as secure messaging and EHRs to improve patient outcomes.

Entities:  

Keywords:  e-health; education; home health monitoring; medical records; telehealth

Mesh:

Substances:

Year:  2016        PMID: 27027337     DOI: 10.1089/tmj.2015.0207

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  18 in total

1.  Usability Assessment of Secure Messaging for Clinical Document Sharing between Health Care Providers and Patients.

Authors:  Michelle A Jahn; Brian W Porter; Himalaya Patel; Alan J Zillich; Steven R Simon; Alissa L Russ
Journal:  Appl Clin Inform       Date:  2018-06-27       Impact factor: 2.342

2.  Too Many Don'ts and Not Enough Do's? A Survey of Hospitals About Their Portal Instructions for Patients.

Authors:  Joy L Lee; Claire E Williams; Sean Baird; Marianne S Matthias; Michael Weiner
Journal:  J Gen Intern Med       Date:  2019-11-12       Impact factor: 5.128

3.  Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature.

Authors:  Consuela C Yousef; Teresa M Salgado; Ali Farooq; Keisha Burnett; Laura E McClelland; Laila C Abu Esba; Hani S Alhamdan; Sahal Khoshhal; Ibrahim Aldossary; Omar A Alyas; Jonathan P DeShazo
Journal:  Appl Clin Inform       Date:  2022-02-09       Impact factor: 2.342

4.  Outpatient portal use among pregnant individuals: Cross-sectional, temporal, and cluster analysis of use.

Authors:  Evan Morgan; Patrick Schnell; Priti Singh; Naleef Fareed
Journal:  Digit Health       Date:  2022-07-06

Review 5.  Use of Electronic Patient Portals in Pregnancy: An Overview.

Authors:  Erinma P Ukoha; Lynn M Yee
Journal:  J Midwifery Womens Health       Date:  2018-05-14       Impact factor: 2.388

Review 6.  A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support.

Authors:  Deborah A Greenwood; Perry M Gee; Kathy J Fatkin; Malinda Peeples
Journal:  J Diabetes Sci Technol       Date:  2017-05-31

7.  Patients' adoption of and feature access within electronic patient portals.

Authors:  Jennifer Elston Lafata; Carrie A Miller; Deirdre A Shires; Karen Dyer; Scott M Ratliff; Michelle Schreiber
Journal:  Am J Manag Care       Date:  2018-11-01       Impact factor: 2.229

Review 8.  Diabetes Treatment in the Elderly: Incorporating Geriatrics, Technology, and Functional Medicine.

Authors:  Willy Marcos Valencia; Diana Botros; Maria Vera-Nunez; Stuti Dang
Journal:  Curr Diab Rep       Date:  2018-09-05       Impact factor: 4.810

9.  Association of Secure Messaging with Primary Care In-Person and Telephone Visits Among Veterans: a Matched Difference-in-Difference Analysis.

Authors:  Amy M J O'Shea; Adam Batten; Elaine Y Hu; Matthew R Augustine; Timothy P Hogan; Peter J Kaboli
Journal:  J Gen Intern Med       Date:  2021-02-02       Impact factor: 5.128

10.  Assessing key cost drivers associated with caring for chronic kidney disease patients.

Authors:  Paul Damien; Holly J Lanham; Murali Parthasarathy; Nikhil L Shah
Journal:  BMC Health Serv Res       Date:  2016-12-28       Impact factor: 2.655

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