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Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study

BACKGROUND: The number of electronic messages securely exchanged between clinic staff and patients has risen dramatically over the last decade. A variety of studies explored whether the volume of messages sent by patients was associated with outcomes. None of these studies, however, examined whether...

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Autores principales: Heisey-Grove, Dawn M, McClelland, Laura E, Rathert, Cheryl, Tartaglia, Alexander, Jackson, Kevin, DeShazo, Jonathan P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661231/
https://www.ncbi.nlm.nih.gov/pubmed/33118938
http://dx.doi.org/10.2196/19477
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author Heisey-Grove, Dawn M
McClelland, Laura E
Rathert, Cheryl
Tartaglia, Alexander
Jackson, Kevin
DeShazo, Jonathan P
author_facet Heisey-Grove, Dawn M
McClelland, Laura E
Rathert, Cheryl
Tartaglia, Alexander
Jackson, Kevin
DeShazo, Jonathan P
author_sort Heisey-Grove, Dawn M
collection PubMed
description BACKGROUND: The number of electronic messages securely exchanged between clinic staff and patients has risen dramatically over the last decade. A variety of studies explored whether the volume of messages sent by patients was associated with outcomes. None of these studies, however, examined whether message content itself was associated with outcomes. Because secure messaging is a significant form of communication between patients and clinic staff, it is critical to evaluate the context of the communication to best understand its impact on patient health outcomes. OBJECTIVE: To examine associations between patients’ and clinicians’ message content and changes in patients’ health outcomes. METHODS: We applied a taxonomy developed specifically for secure messages to 14,394 patient- and clinic staff–generated messages derived from patient-initiated message threads. Our study population included 1602 patients, 50.94% (n=816) of whom initiated message threads. We conducted linear regression analyses to determine whether message codes were associated with changes in glycemic (A1C) levels in patients with diabetes and changes in systolic (SBP) and diastolic (DBP) blood pressure in patients with hypertension. RESULTS: Patients who initiated threads had larger declines in A1Cs (P=.01) compared to patients who did not initiate threads. Clinic nonresponse was associated with decreased SBP (β=–.30; 95% CI –0.56 to –0.04), as were staffs’ action responses (β=–30; 95% CI –0.58 to –0.02). Increased DBP, SBP, and A1C levels were associated with patient-generated appreciation and praise messages and staff encouragement with effect sizes ranging from 0.51 (A1C) to 5.80 (SBP). We found improvements in SBP associated with patients’ complaints (β=–4.03; 95% CI –7.94 to –0.12). Deferred information sharing by clinic staff was associated with increased SBP (β=1.29; 95% CI 0.4 to 2.19). CONCLUSIONS: This is the first research to find associations between message content and patients’ health outcomes. Our findings indicate mixed associations between patient message content and patient outcomes. Further research is needed to understand the implications of this work; in the meantime, health care providers should be aware that their message content may influence patient health outcomes.
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spelling pubmed-76612312020-11-19 Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study Heisey-Grove, Dawn M McClelland, Laura E Rathert, Cheryl Tartaglia, Alexander Jackson, Kevin DeShazo, Jonathan P J Med Internet Res Original Paper BACKGROUND: The number of electronic messages securely exchanged between clinic staff and patients has risen dramatically over the last decade. A variety of studies explored whether the volume of messages sent by patients was associated with outcomes. None of these studies, however, examined whether message content itself was associated with outcomes. Because secure messaging is a significant form of communication between patients and clinic staff, it is critical to evaluate the context of the communication to best understand its impact on patient health outcomes. OBJECTIVE: To examine associations between patients’ and clinicians’ message content and changes in patients’ health outcomes. METHODS: We applied a taxonomy developed specifically for secure messages to 14,394 patient- and clinic staff–generated messages derived from patient-initiated message threads. Our study population included 1602 patients, 50.94% (n=816) of whom initiated message threads. We conducted linear regression analyses to determine whether message codes were associated with changes in glycemic (A1C) levels in patients with diabetes and changes in systolic (SBP) and diastolic (DBP) blood pressure in patients with hypertension. RESULTS: Patients who initiated threads had larger declines in A1Cs (P=.01) compared to patients who did not initiate threads. Clinic nonresponse was associated with decreased SBP (β=–.30; 95% CI –0.56 to –0.04), as were staffs’ action responses (β=–30; 95% CI –0.58 to –0.02). Increased DBP, SBP, and A1C levels were associated with patient-generated appreciation and praise messages and staff encouragement with effect sizes ranging from 0.51 (A1C) to 5.80 (SBP). We found improvements in SBP associated with patients’ complaints (β=–4.03; 95% CI –7.94 to –0.12). Deferred information sharing by clinic staff was associated with increased SBP (β=1.29; 95% CI 0.4 to 2.19). CONCLUSIONS: This is the first research to find associations between message content and patients’ health outcomes. Our findings indicate mixed associations between patient message content and patient outcomes. Further research is needed to understand the implications of this work; in the meantime, health care providers should be aware that their message content may influence patient health outcomes. JMIR Publications 2020-10-29 /pmc/articles/PMC7661231/ /pubmed/33118938 http://dx.doi.org/10.2196/19477 Text en ©Dawn M Heisey-Grove, Laura E McClelland, Cheryl Rathert, Alexander Tartaglia, Kevin Jackson, Jonathan P DeShazo. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 29.10.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Heisey-Grove, Dawn M
McClelland, Laura E
Rathert, Cheryl
Tartaglia, Alexander
Jackson, Kevin
DeShazo, Jonathan P
Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study
title Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study
title_full Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study
title_fullStr Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study
title_full_unstemmed Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study
title_short Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians: Retrospective Cohort Study
title_sort associations between patient health outcomes and secure message content exchanged between patients and clinicians: retrospective cohort study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661231/
https://www.ncbi.nlm.nih.gov/pubmed/33118938
http://dx.doi.org/10.2196/19477
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