Improving patient health engagement with mobile texting: A pilot study in the head and neck postoperative setting
| Autor: | Nathan Heineman, Baran D. Sumer, Alan Sosa, Kai Tang, David L. Schwartz, Marie Feinstein, Kimberly Thomas, Michelle Y. Martin |
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| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
020205 medical informatics business.industry Head and neck cancer Psychological intervention 02 engineering and technology medicine.disease Health informatics Likert scale 03 medical and health sciences 0302 clinical medicine Patient satisfaction Otorhinolaryngology Phone Intervention (counseling) 0202 electrical engineering electronic engineering information engineering medicine Physical therapy 030212 general & internal medicine business Prospective cohort study |
| Zdroj: | Head & Neck. 39:988-995 |
| ISSN: | 1043-3074 |
| Popis: | Background Cell phone ownership is nearly universal. Messaging is one of its most widely used features. Texting-based interventions may improve patient engagement in the postoperative setting, but remain understudied. Methods Patients were recruited before discharge from the hospital and received automated daily texts for 1 week providing information about expected recovery. Patients were encouraged to text questions to providers, which were triaged for intervention. Web-based surveys solicited patient feedback about the platform. Results Thirty-two patients were approached, and 23 patients (72%) were enrolled in the study. All study patients texted their providers, although frequency (median, 7 texts; range, 2–44 texts) varied. Unmarried patients and those facing surgical complications used the platform more frequently. Mean patient satisfaction with the platform was high (mean, 3.8 on a 4-point Likert scale). Conclusion Text messaging seems feasible in the acute postoperative setting and potentially improves engagement of patients with head and neck cancer. Further study is warranted to confirm scalability and impact. © 2017 Wiley Periodicals, Inc. Head Neck 39: 988–995, 2017 |
| Databáze: | OpenAIRE |
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