About
14
Publications
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Citations
Introduction
Dr. Dhirendra Paudel is a Nepal-based Freelance Consultant, Psychiatrist, Trainer, and Researcher with over a decade of clinical experience. He specializes in psychotherapeutic interventions, psychopharmacology, and sleep medicine, and provides consultancy services and training on mhGAP and SEL. Dr. Paudel's research work aims to improve the quality of mental health care considering cultural factors, alternative therapies, and interplay between biological, psychological, and social factors.
Current institution
Additional affiliations
June 2022 - May 2023
Transcultural Psychosocial Organization Nepal
Position
- Psychiatrist
December 2021 - August 2023
Mental Health and Yoga Pvt Ltd
Position
- Psychiatrist
September 2021 - present
Freelance Consultant
Position
- Psychiatrist
Education
September 2015 - June 2019
November 2004 - March 2011
Publications
Publications (14)
Narcolepsy is a chronic neurological disorder characterized by excessive daytime sleepiness and associated symptoms, including cataplexy, sleep paralysis, hypnagogic/hypnopompic hallucinations, and disrupted nocturnal sleep. It is classified into two subtypes: narcolepsy type 1 (NT1), which involves cataplexy and/or low cerebrospinal fluid (CSF) hy...
Background
The primary distinction between narcolepsy type 1 (NT1) and narcolepsy type 2 (NT2) is the presence or absence of cataplexy, which is commonly determined through clinical interviews, though it can be prone to error due to vague patients descriptions.
Objective
This study aimed to investigate EEG microstate differences between NT1 and NT...
Background
Pulmonary embolism (PE) is a serious and potentially life-threatening condition that requires prompt diagnosis and treatment. Identifying risk factors and diagnostic markers can aid in the early detection and management of this condition.
Methods
This case-control study examined 10,077 patients admitted to Shenzhen Kangning Hospital’s p...
This thematic analysis explores the complex factors contributing to the escalating suicide rates and the persistent challenges hindering effective suicide prevention efforts. It highlights the significance of mental health stigma, limited access to care, and sociocultural/environmental factors in shaping suicide risk. The review synthesizes finding...
This article examines the experiences and insights of field trainers in Nepal involved in the implementation and training of the Mental Health Gap Action Program (mhGAP). The study focuses on resource considerations in the context of low-and middle-income countries (LMICs), where mental health issues persist and access to care is limited. By analyz...
ABSTRACT
Background: Mental illnesses have become a significant global health concern, with individuals often seeking self-help treatments before seeking professional assistance. Complementary and alternative medicine (CAM), including yoga, has gained popularity as a holistic approach to address mental health concerns. However, there is a lack of p...
Objective
To find publications trend about cognitive behavior therapy for insomnia (CBTI) using bibliometric and visualization analysis. In this study, the authors sought to identify the publication trends of peer-reviewed articles about CBTI.
Materials and methods
Analyses were focused on the past 18 years from 2004 to 2021. All searches were per...
The coronavirus disease 2019 (COVID-19) pandemic can be overwhelming leading to strong emotions and distress. Most studies reported the impact on mental health due to uncertainty, fear, and anxiety about the pandemic and post pandemic states. The sufferers may present with a variety of symptoms of psychological distress. Failure to communicate this...
Virtual reality exposure therapy (VRET) is becoming popular for treating phobia and anxiety disorder. The recent pandemic of COVID-19 not only causes infection per se but also has an impact on mental health. This case series aimed to explore the role of VRET in the intervention of psychiatric illnesses with chief complaints of fear of COVID-19 infe...
Objectives:
The objective of this study was to estimate the features of suicide rate and its association with antidepressant prescriptions during the past decade in China.
Methods:
Official data on suicides were obtained and stratified by four age groups, gender, urban/rural areas, and regions (East, Central, and West). The annual antidepressant...
The COVID-19 pandemic is having an impact on physical and mental health. Most studies report the impact on mental health and mental distress during the pandemic. As a result of various stressors (such as lockdown, quarantines, and misinformation) there is heightened fear of a pandemic. The sufferer may experience a variety of symptoms of anxiety, d...
Background and aims
Fluvoxamine can markedly increase the serum melatonin level, which regulates human circadian rhythm. However, only limited research has evaluated the effects of fluvoxamine on sleep architecture. Thus, the current study aims to investigate the effect of fluvoxamine on PSG characteristics and the impact of persistent insomnia on...
Introduction
Previous evidence suggested that online self-guided sleep intervention is efficacious in improving treatment outcomes in patients with persistent insomnia. However, research on online sleep interventions targeting episodic insomnia has been scarce. This study aims to evaluate the effectiveness of brief e-aid cognitive behavioural thera...
Purpose
We report a case with symptoms and signs of obstructive sleep apnea (OSA), depression, and narcolepsy. Polysomnographic (PSG) and multiple sleep latency test (MSLT) findings, clinical characteristics, and diagnostic challenges in this case are discussed.
Methods
A 23-year-old single male presented with excessive daytime sleepiness, low moo...
Questions
Question (1)
I did Negative Binomial Regression on Disease A, which is a count data. Due to over-dispersion Poisson regression was unacceptable.I created 4 models to check the effect of different drugs on Disease A.I put time as a continuous variable. Assuming that all assumptions were fulfilled and output is from SPSS. How to interpret the four models and the change in IRR with Time and Drug Variable?
Note: Data is Drugs prescribed in a population and Disease A in a population.
