ArticleEvidence-based complementary and alternative medicine : eCAM2018
Understanding CAM Use in Lebanon: Findings from a National Survey.
Article in Evidence-based complementary and alternative medicine : eCAM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Knowledge, attitude, and practices of complementary and alternative medicine: a survey of physicians and nurses at an academic medical center in Beirut.The Libyan journal of medicine · 2022Article
- A triangulated perspective for understanding CAM use in Lebanon: a qualitative study.BMC complementary medicine and therapies · 2022Article
- A qualitative investigation of the perceptions of complementary and alternative medicine among adults in Hawai'i.BMC complementary medicine and therapies · 2022Article
- Complementary and alternative medicine use among outpatients during the 2015 MERS outbreak in South Korea: a cross-sectional study.BMC complementary medicine and therapies · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main objective of this study was to identify predictors of Complementary and Alternative Medicine (CAM) use in Lebanon. Data for this study were drawn from a national survey conducted among Lebanese adults (n=1500). A modified version of the Social Behavioral Model (SBM) was used to understand CAM use in the study population. In this version, predisposing factors included sociodemographic characteristics (age, gender, education, and employment) and
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Registered trials
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.