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Record W4400650300 · doi:10.2196/51833

Study to Evaluate the Comparative Efficacy of Medhya Rasayana (Pharmacological) Versus Nonpharmacological Interventions in Management of Gadget Addiction in Children: Protocol for Parallel, Triple-Arm, Randomized Clinical Trial

2024· article· en· W4400650300 on OpenAlexvenueno aff
Prasad Yewale, Renu Rathi, Swapnali Mate

Bibliographic record

VenueJMIR Research Protocols · 2024
Typearticle
Languageen
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGadgetProtocol (science)Randomized controlled trialPreprintMedicinePsychological interventionAddictionClinical trialComputer scienceAlternative medicinePsychiatryWorld Wide WebSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Gadget addiction is a common behavioral problem among children. It is known to hamper social and academic life as well as adversely affect the lives of children. Ayurveda offers many therapeutic modalities and Ayurvedic medicines that can be used in the management of gadget addiction in children. The purpose of this study is to evaluate and compare the effectiveness of nonpharmacological therapies and the pharmaceutical intervention Medhya Rasayana in treating childhood gadget addiction. OBJECTIVE: This study aims to provide a detailed description of the study methodology that will be used to compare the efficacy of nonpharmacological versus pharmaceutical interventions in the treatment of children's gadget addiction. METHODS: A randomized, parallel, triple-arm interventional study will be conducted on diagnosed participants of gadget addiction with an age group of 6- to 16-year-old children, which will be selected and equally distributed in 2 groups. Group P will be given Medhya Rasayana (pharmacological intervention), group N will be nonpharmacological Ayurveda intervention, and group C (cognitive behavioral therapy) will be an external group. The Study duration is 180 days with assessment at baseline, midpoint, and endpoint Appropriate statistical techniques, such as ANOVA and regression analysis, will be used to examine the data and evaluate the efficacy of the 3 groups' interventions. We will perform subgroup analysis according to initial addiction severity, gender, and age. Primary outcome measures include a reduction in gadget addiction and changes in the psychosocial well-being of participants. Standardized questionnaires and instruments will be used to collect data. RESULTS: In December 2023, the randomized controlled study got underway. Since participants may begin at any time, our goal is for everyone to be finished by December 2024. CONCLUSIONS: This research will provide crucial new information about the relative effectiveness of Ayurveda nonpharmacological therapies and Medhya Rasayana in treating children's gadget addiction. The results will guide evidence-based treatments aimed at reducing the negative impact of excessive gadget use on this susceptible population's psychosocial development. In the end, the findings are meant to help policy makers and medical professionals create sensible plans to deal with the rising issue of childhood gadget addiction. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/51833.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.018
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0110.005
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0350.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.787
GPT teacher head0.758
Teacher spread0.028 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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