Factors contributing to decisions for giving treatment and referrals to patients with cognitive complaints in chat-based telemedicine services in Indonesia
P. Prawiroharjo et al.
What the paper says
<b>Introduction:</b> Chat-based telemedicine has become a popular method for consulting cognitive complaints in Indonesia, especially during the COVID-19 pandemic. This study explores patient characteristics and their correlation with physicians' decisions on treatment and referral. <b>Methods:</b> A retrospective cross-sectional study analyzed secondary data from patient chat databases on Indonesian telemedicine platforms between March 2020 and December 2021. Bivariate and multivariable analysis were conducted. <b>Results:</b> Out of 1,016 patients (0.4% of 2,199,527 users), most were females under 40. Clinicians were more likely to provide pharmacological treatment for patients aged ≥60, females, or those with forgetfulness complaints or a history of cognitive disorders (<i>p</i> < 0.01). Referral likelihood increased when caregivers filed complaints or prior diagnoses existed (<i>p</i> < 0.01). <b>Discussion:</b> Clinicians' decisions in telemedicine were influenced by age, gender, complaint type, and caregiver involvement. Further research is needed to improve telemedicine for cognitive care.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.