Evidence map›Paper›PMID 31376831›Full record

ArticleSystematic reviews2019

Measurement properties of self-report pedestrians' road crossing behavior questionnaires constructed based on the theory of planned behavior: protocol for a systematic review.

Mahdi Moshki, Abdoljavad Khajavi, Fatemeh Sadeghi-Ghyassi, Homayoun Sadeghi-Bazargani, Saeid Pour-Doulati

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Article in Systematic reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mahdi MoshkiHealth Education and Health Promotion Department, School of Health; Social Development & Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Abdoljavad KhajaviCommunity Medicine Department, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
Fatemeh Sadeghi-GhyassiResearch Center for Evidence Based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Homayoun Sadeghi-BazarganiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Saeid Pour-DoulatiSocial Development & Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran. s.pourdoulati@gmail.com.ORCID 0000-0001-7450-2140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPedestrians' unsafe crossing behavior exposes them at risk of trauma and death and puts a tremendous burden on the health care system. The theory of planned behavior (TPB) is one of the leading theoretical models used to develop pedestrians' road crossing behavior questionnaires, yet the quality of measurement properties of them has not been evaluated. The aim of the proposed systematic review is to evaluate the quality of measurement properties of the questionnaires constructed based on the TPB to predict pedestrians' road crossing behavior.

methodsWe will include studies validating or evaluating one or more psychometric properties of the self-reported questionnaire employing the TPB for predicting pedestrians' road crossing behavior. A comprehensive search strategy will be formulated based on the components of review aim. The databases of MEDLINE, Embase, PubMed, Cochrane Library, PsycINFO, PsycARTICLES, and ProQuest, also grey literature and the reference lists of the included studies, will be searched. A hand search for the relevant journals and Google Scholar will be conducted. COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) Risk of Bias checklist will be used to evaluate the measurement properties of the included questionnaires. First, we will assess standards for the methodological quality of each study. Then, each scale or subscale of a questionnaire will be rated using the updated criteria for good measurement property. We will quantitatively pool or qualitatively summarize the results and will evaluate them against the criteria for good measurement properties. Finally, we will grade the pooled or summarized evidence using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach and provide recommendations for the most appropriate instrument. DISCUSSION: The proposed systematic review will evaluate the measurement properties of self-report pedestrians' road crossing behavior questionnaires constructed based on the TPB. The findings will help researchers in selecting the appropriate TPB-based instrument for pedestrians' road crossing behavior. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017047793.

Indexed as

Accidents, TrafficPsychological TheorySelf ReportSurveys and QuestionnairesHumansPedestriansPsychometricsRisk-TakingSafetySystematic Reviews as TopicWalkingCOSMINPedestrianQuality assessmentQuestionnaireTheory of planned behavior

Identifiers

PMID31376831
PMCPMC6679428

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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.