Evidence map›Paper›PMID 38803849›Full record

ArticleHeliyon2024

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 and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pukovisa PrawiroharjoDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Hikma AnggrainiDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Iskandar Purba GeraldiDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Fitri OctavianaDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Astri BudikayantiDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Ahmad Yanuar SafriDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Winnugroho WiratmanDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Luh Ari IndrawatiDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.
Nurul FadliMedical Staff, Department of Neurology, Dr Cipto Mangunkusumo Hospital, Indonesia.
Adrian Ridski HarsonoMedical Staff, Department of Neurology, Dr Cipto Mangunkusumo Hospital, Indonesia.
Manfaluthy HakimDepartment of Neurology, Faculty of Medicine, Universitas Indonesia, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ChatClinical decision makingNeuropathic painNeuropathy complaintsParesthesiaTelemedicine

Identifiers

PMID38803849
PMCPMC11128825

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.