ABSTRACT
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.
ABSTRACT
Purpose: Myasthenia gravis (MG) can cause respiratory muscle weakness and the need of ventilator support. Spirometry as the gold standard for pulmonary function examination has limited availability, especially in our hospital which is only available in outpatient clinic during work hours (not in emergency room or patient room). Furthermore, all primary healthcare in Indonesia do not have spirometry equipment, thus other alternatives are required. This study aimed to analyze the relationship between a single breath counting test (SBCT), peak flow meter (PFM), and spirometry to assess pulmonary function in MG patients in a national referral hospital in Indonesia. Patients and Methods: A single-center, cross-sectional study was conducted and SBCT, PFM, and spirometry examination were performed in MG patients and healthy controls. Results: Seventy patients, aged 47.7 ± 13.4 years old, participated in this study. SBCT, forced vital capacity first second (FVC1), and forced expiratory volume first second (FEV1) value between MG patients and healthy controls showed a significant difference, in which healthy controls have higher SBCT, FVC1, and FEV1 values (p = 0.000, p = 0.000 and p = 0.001 respectively). There was a significant difference between PFM with SBCT and FVC1 value in MG patients. Strong correlation was found between SBCT and FVC1 in MG patients. Conclusion: MG patients had worse pulmonary function compared to healthy controls. SBCT and PFM examination have a significant correlation with FVC1 in MG patients. Therefore, SBCT and PFM can be used as a bedside tool to detect respiratory impairment in MG patients.
