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.

Health Informatics Journal2026https://doi.org/10.1177/14604582251404785article
ABDC C
Weight
0.50

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.

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https://doi.org/https://doi.org/10.1177/14604582251404785

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@article{p.2026,
  title        = {{Factors contributing to decisions for giving treatment and referrals to patients with cognitive complaints in chat-based telemedicine services in Indonesia}},
  author       = {P. Prawiroharjo et al.},
  journal      = {Health Informatics Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/14604582251404785},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 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.