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Record W3046605339 · doi:10.11124/jbies-20-00042

Identifying nudge strategies for behavior-based prevention and control of neglected tropical diseases: a scoping review protocol

2020· review· en· W3046605339 on OpenAlexaff
Fiona Vande Velde, Johanne Longva, Hans J. Overgaard, Sheri Bastien

Bibliographic record

VenueJBI Evidence Synthesis · 2020
Typereview
Languageen
FieldMedicine
TopicParasitic Diseases Research and Treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCINAHLPsycINFOPsychological interventionNeglected tropical diseasesContext (archaeology)EconLitMEDLINENudge theoryMedicinePublic healthPsychologyEnvironmental healthPolitical scienceNursingGeographySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this scoping review is to synthesize the existing body of studies that use nudge strategy and focus on behavioral practices suitable for prevention and control of neglected tropical diseases. The review will map the existing literature, identify gaps in knowledge, and provide a series of recommendations for future research. INTRODUCTION: There is a well-established body of knowledge related to "nudging," a strategy that uses subtle stimuli to direct people's behavior within public health interventions, with the aim of changing behaviors to reduce the prevalence of non-communicable diseases. Recently, interventions to promote prevention and control of neglected tropical diseases have included nudging as a strategy for altering behavior. However, these interventions not been synthesized and present the opportunity for a scoping review. INCLUSION CRITERIA: Eligible studies are those that include nudge strategies aimed at changing behavior to prevent and control neglected tropical diseases. All types of behavioral practices suitable for targeting neglected tropical diseases (e.g. handwashing behaviors) will be considered, not exclusively focusing on a specific type or group of neglected tropical diseases. The nudge strategy must be described in full, without restrictions to the study design. The context or population will be limited to low- and middle-income countries. METHODS: A comprehensive search will be performed in the following databases: MEDLINE, PsycINFO, and Embase (Ovid), Web of Science Core Collection, CINAHL, ERIC, and EconLit (EBSCO), as well as registered trials and reviews in CENTRAL and PROSPERO to identify ongoing or unpublished studies. Titles will be screened by one reviewer, and non-eligible studies excluded. Two reviewers (SB and FVV) will screen abstracts independently. Eligible studies will be selected through a questionnaire that specifies the inclusion criteria. Papers selected for inclusion will be subject to data extraction using a tool designed by one review author and agreed upon by the other review authors. Data will be presented in a table and other conceptual styles.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.448
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.483
Teacher spread0.407 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2020
Admission routes1
Has abstractyes

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