eNeurologicalSci (Dec 2023)

High acceptability, convenience and reduced carbon emissions of tele-neurology outpatient services at a regional referral centre in Kenya

  • Fazal Abdulaziz Yakub,
  • Jasmit Shah,
  • Dilraj Singh Sokhi

Journal volume & issue
Vol. 33
p. 100484

Abstract

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Background: There is severe shortage of neurologists in sub-Saharan Africa. Tele-neurology consultations (TNC) can bridge this service gap, but there is very little published evidence on TNC in our setting, which we addressed through our study. Methods: We prospectively enrolled patients at our neurology outpatients from October 2020 to October 2021. We administered a post-TNC questionnaire which captured satisfaction/acceptability using Likert scales. A sub-group of participants who also did in-person consultations (IPC) were additionally administered post-IPC questionnaires. Statistical comparisons were made using the paired student t-test, and descriptive data expressed as median (inter-quartile range). Results: From 219 enrolled patients, 66.7% participants responded: 74.0% had both IPC and TNC; 63.0% were female; age was 40.9 (30.6–55.2) years; and 2.7% were from neighbouring countries. The commonest presentations were headache (30.8%), seizures (26.0%) and neurodegenerative disorders (15.1%). For TNC, >90% found it: (i) as comfortable as IPC (p = 0.35); (ii) didn't violate their privacy; (iii) saved time [3.0 (2.0–4.0) hours], travel [11.0 (7.2–21.1) km] and cost [$9.09 (4.55–18.18)]; and (iv) addressed their concerns satisfactorily such that they would use TNC again. Conversely, 15.1% didn't agree with TNC being as effective as IPC, and felt the neurologist did not satisfactorily identify all of their health problems (p = 0.03). In total, our TNC service saved our patients $6167, 1143 h, and 25,506 km of travel, translating to 3.5 t (equivalent to 21 newly-planted trees) of carbon dioxide emissions. Conclusions: Our study demonstrates that TNC is an acceptable, efficient, effective, and environmentally-sustainable care delivery model.

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