Postdischarge needs identified by an automated text messaging program: A mixed-methods study.

Area of Science:

• Health Services Research
• Digital Health
• Transitional Care

Background:

• Text messaging is a common patient engagement tool post-hospitalization.
• Understanding patient needs and program utilization in these systems is limited.

Purpose of the Study:

• To characterize the types and timing of patient needs identified during a 30-day automated text messaging program.
• To analyze patient-expressed needs within a transitional care framework.

Main Methods:

• Mixed-methods study analyzing patient needs from an automated texting program (Jan-Aug 2021).
• Directed content analysis by two reviewers categorizing needs.
• Describing frequency and timing of needs relative to discharge.

Main Results:

• 405 patients enrolled; 44% expressed needs.
• Most common needs: symptoms (26.8%), follow-up care coordination (20.4%), medication issues (15.7%).
• Needs arose a mean of 10.8 days post-discharge, with no significant timing differences by category.

Conclusions:

• Automated texting identified key primary care and nursing-relevant patient needs.
• This program model supports health system transitions efficiently.
• Findings can guide future transitional care technology development.