Topics Mentioned by Stroke Patients during Supportive Phone Calls-Implications for Individualized Aftercare Programs.
Richard SchmidtDaniela GeislerDaniela UrbanMarkus WagnerGalina IvanovaThomas NeumuthJoseph ClaßenDominik MichalskiPublished in: Healthcare (Basel, Switzerland) (2022)
By understanding stroke as a chronic disease, aftercare becomes increasingly important. For developing aftercare programs, the patients' perspective regarding, for example, stroke-related symptoms and interactions with the healthcare system is necessary. Records from a local stroke pilot program were used to extract relevant topics from the patients' perspective, as mentioned during a phone call two months after hospital discharge. Data from 157 patients with ischemic stroke or transient ischemic attack (TIA) were included. "Rehabilitation" was mentioned by 67.5% of patients, followed by "specialist physician", "symptoms", and "medication". Compared with severely disabled patients, those with no relevant disability at hospital discharge mentioned "symptoms" significantly more often. Regarding rehabilitation, "outpatient care" was mentioned more often by patients in an inpatient setting, and 11.8% without rehabilitation mentioned "depression". Patients in single-compared to multi-person households differed, for example, in the frequency of mentioning "specialist physicians" and gradually "outpatient care". A multivariate model yielded associations between the disability at discharge and the probability of mentioning relevant topics afterward. This study provided insights into the patients' perspective and identified topics that need attention while accompanying stroke and TIA patients after discharge. Further, the degree of disability at discharge might be helpful for planning individual aftercare.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- palliative care
- primary care
- healthcare
- randomized controlled trial
- atrial fibrillation
- multiple sclerosis
- clinical trial
- public health
- emergency department
- oxidative stress
- machine learning
- brain injury
- patient reported
- quality improvement
- artificial intelligence
- subarachnoid hemorrhage
- adverse drug
- affordable care act