Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians : Retrospective Cohort Study
©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..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
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| Enthalten in: |
Journal of medical Internet research - 22(2020), 10 vom: 29. Okt., Seite e19477 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Heisey-Grove, Dawn M [VerfasserIn] |
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| Links: |
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| Themen: |
Diabetes |
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| Anmerkungen: |
Date Completed 29.01.2021 Date Revised 29.01.2021 published: Electronic Citation Status MEDLINE |
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| doi: |
10.2196/19477 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM316875155 |
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| 100 | 1 | |a Heisey-Grove, Dawn M |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Associations Between Patient Health Outcomes and Secure Message Content Exchanged Between Patients and Clinicians |b Retrospective Cohort Study |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a ©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. | ||
| 520 | |a 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 | ||
| 520 | |a OBJECTIVE: To examine associations between patients' and clinicians' message content and changes in patients' health outcomes | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a diabetes | |
| 650 | 4 | |a electronic messaging | |
| 650 | 4 | |a health information technology | |
| 650 | 4 | |a hypertension | |
| 650 | 4 | |a patient physician communication | |
| 700 | 1 | |a McClelland, Laura E |e verfasserin |4 aut | |
| 700 | 1 | |a Rathert, Cheryl |e verfasserin |4 aut | |
| 700 | 1 | |a Tartaglia, Alexander |e verfasserin |4 aut | |
| 700 | 1 | |a Jackson, Kevin |e verfasserin |4 aut | |
| 700 | 1 | |a DeShazo, Jonathan P |e verfasserin |4 aut | |
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