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Patient preferences and access to text messaging for health care reminders in a safety-net setting.
- Source :
-
Informatics for Health & Social Care . Jan2017, Vol. 42 Issue 1, p32-42. 11p. - Publication Year :
- 2017
-
Abstract
- <bold>Introduction: </bold>Text messaging may be an effective method for providing health care reminders to patients. We aimed to understand patient access to and preferences for receiving health-related reminders via text message among patients receiving care in safety-net hospitals.<bold>Materials and Methods: </bold>We conducted face-to-face surveys with 793 patients seeking care in three hospital emergency departments at a large safety-net institution and determined clinical and demographic predictors of preferences for text messaging for health care reminders.<bold>Results: </bold>95% of respondents reported having daily access to text messaging. Text messaging was preferred over e-mail, phone, and letters for communication. 78% of respondents wanted to receive appointment reminders, 56% wanted expiring insurance reminders, and 36% wanted reminders to take their medications. We found no clinical predictors but did find some demographic predictors-including age, ethnicity, insurance status, and income-of wanting text message reminders.<bold>Discussion: </bold>In our convenience sample of safety-net patients, text messaging is an accessible, acceptable, and patient-preferred modality for receiving health care reminders. Text messaging may be a promising patient-centered approach for providing health care and insurance reminders to patients seeking care at safety-net institutions. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MEDICAL care
*SAFETY-net health care providers
*HOSPITAL emergency services
*TEXT messages
*PATIENT-centered care
*INSURANCE statistics
*HEALTH insurance statistics
*AGE distribution
*COMPARATIVE studies
*RESEARCH methodology
*MEDICAL cooperation
*PATIENT satisfaction
*RESEARCH
*SOCIOECONOMIC factors
*EVALUATION research
*HEALTH care reminder systems
Subjects
Details
- Language :
- English
- ISSN :
- 17538157
- Volume :
- 42
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Informatics for Health & Social Care
- Publication Type :
- Academic Journal
- Accession number :
- 119781927
- Full Text :
- https://doi.org/10.3109/17538157.2015.1113177