Heliyon (May 2024)

Factors correlating to decisions for prescribing pharmacological treatment and referrals in suspected peripheral neuropathy cases in chat consultation-based application

  • Pukovisa Prawiroharjo,
  • Hikma Anggraini,
  • Iskandar Purba Geraldi,
  • Fitri Octaviana,
  • Astri Budikayanti,
  • Ahmad Yanuar Safri,
  • Winnugroho Wiratman,
  • Luh Ari Indrawati,
  • Nurul Fadli,
  • Adrian Ridski Harsono,
  • Manfaluthy Hakim

Journal volume & issue
Vol. 10, no. 10
p. e30713

Abstract

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Introduction: Since the COVID-19 pandemic, there has been increasing use ofchat-based telemedicine, including for patients with neuropathy complaints. It is imperative to learn how to effectively use telemedicine. This study describes the characteristics of patients with neuropathy complaints in chat-based telemedicine services in Indonesia and their influence on treatment decisions and referrals. Methods: This is a retrospective cross-sectional study during the COVID-19 pandemic era (March 2020 to December 2021) using anonymous secondary data from patient chat databases on Indonesian application-based telemedicine services (Halodoc, Alodokter, Good Doctor, and Milvik). We applied bivariate and multivariate analysis. Results: We obtained 1051 patients with suspected peripheral nerve complaints (4 per 10,000) from a total of 2,199,527 user consultations, with the majority being 40–64 years old females and diabetes mellitus was the leading comorbid (90.7%). Most patients received treatment (90.7%) and only 11.4% patients were referred. Multivariate analysis showed that treatment was more likely to be given by a neurologist (p < 0.01). Chronic symptoms (p < 0.01) and previous laboratory/other tests (p = 0.01) decreased the likelihood of medication prescription. Referrals were more likely to be given to chronic onset (p = 0.02), hypertension and heart disease (p < 0.01), and previous laboratory/other tests (p = 0.02). The opposite was true for age≥65 years, female (p = 0.04), and neurologists or other specialists as responders (p < 0.01). Conclusion: We identified several factors that influence the treatment decision such as female patients and onset. Meanwhile, age, sex, chronic symptoms, history of hypertension and heart disease, and previous laboratory/other tests may influence the referral decisions. General practitioners were more likely to refer the patients whereas neurologists or other specialists were more likely to give treatment. Chat-based telemedicine services can still be developed in the future to be better.

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