Table 3.

Topic Modeling Results using Latent Dirichlet Allocation

Topic #	Topic Label	Top 10 Keywords and Weights (%)
Topic 1	Patient-Clinician Communication	Pain (18.6), patient (18), stated (8.1), instructed (7.4), visit (7.2), reports (7.0), reported (6.4), appointment (6.1), meds (5.7), home (5.6)
Topic 2	HHC Services Provided	Patient (11.6), due (8.3), pain (2.7), visit (5.2), unable (5.1), reports (4.3), able (4.0), hha (3.5), management (3.5), status (3.2)
Topic 3	Gait Challenges	Patient (7.5), pain (6.3), visit (4.1), refused (2.9), aware (2.8), fall (2.7), hospital (2.6), difficulty (2.4), gait (2.4), informed (2.3)
Topic 4	Mobility Concerns	Patient (24.5), lives (6.7), home (5.5), gait (5.3), due (4.8), balance (4.6), visit (4.6), private (4.4), weakness (3.9), difficulty (3.4)
Topic 5	Wounds	Wound (20.2), care (19.5), patient (13.7), skin (7.7), left (6.6), noted (5.9), visit (5.3), hha (5.0), instructed (4.8), called (4.7)
Topic 6	Caregivers	Lives (11.0), patient (9.9), home (6.8), female (5.6), htn (5.0), pmh (4.8), spouse (4.5), son (4.3), alert (4.2), supportive (4.0)

^*HHC: home healthcare, hha: home health aide, htn: hypertension, pmh: past medical history