Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295362506> ?p ?o ?g. }
- W4295362506 abstract "Background The easy accessibility of smartphones and internet connections enables people to stay virtually connected to communities via social media. However, social media is also being explored for health care education and dissemination of health-related information. Twitter (Twitter, Inc., San Francisco, California) is one of the popular social media used for spreading health-related information. Twitter enables users to create polls to get opinions from their users. The Twitter poll is a less-explored avenue for health surveys. Objective In this pilot study, we aimed to explore the feasibility of conducting a questionnaire-based health survey (on the preference of different systems of medicine for the treatment of various health problems) as a Twitter poll. Methods This observational study was conducted on Twitter for five consecutive days starting from May 31, 2021. We posted five Twitter polls, one poll each day, for five days in a #INPST unique Twitter campaign. Preferences on the use of modern medicine, traditional medicine, a combination of these two systems, and self-medication were collected on five health conditions. We collected the data from the landing poll page and Tweet Analytics (insight about the engagement of tweets provided free by Twitter). The Chi-square test, binomial test, and one-way Analysis of Variance were used to compare data, and Spearman's rank correlation coefficient was used to find a correlation between categorical variables. Results We had a mean 4358.6±590.3 poll reach with the engagement of 108.2±36.87 Twitter users and 67.6±28.06 votes. Most of the responses were received on the first day of posting the poll. The participation then gradually decreased. Modern medicine was the first choice for emergency medical care (85.1%, P <0.0001), treatment of cancer (43.6%, P <0.0001), and sexual disorder or transmitted diseases (48.9%, P <0.0001). Traditional medicine was the first choice (37.5%, P = 0.63) for the treatment of common illnesses, and a combination of modern and traditional medicine was the first choice (37.5%, P = 0.01) for the treatment of chronic diseases. Conclusion A medical survey with short questions with a maximum of four response options can be conducted on Twitter. Survey results can be obtained without any third-party analytic service. The response rate is highest on the first day and participation may decrease when multiple polls are posted within a Twitter campaign. Preference for systems of medicine found in this study can be used for designing large-scale surveys in the future." @default.
- W4295362506 created "2022-09-13" @default.
- W4295362506 creator A5000009451 @default.
- W4295362506 creator A5024180560 @default.
- W4295362506 creator A5037722948 @default.
- W4295362506 creator A5043826849 @default.
- W4295362506 creator A5045977931 @default.
- W4295362506 creator A5055876308 @default.
- W4295362506 creator A5081095213 @default.
- W4295362506 creator A5081100799 @default.
- W4295362506 creator A5028569596 @default.
- W4295362506 date "2022-09-04" @default.
- W4295362506 modified "2023-10-04" @default.
- W4295362506 title "Twitter Poll as a Medium for Questionnaire-Based Health Survey: An Experience of a Pilot Study on the Preference of Systems of Medicine for Various Health Conditions" @default.
- W4295362506 cites W2010352794 @default.
- W4295362506 cites W2026229691 @default.
- W4295362506 cites W2076098362 @default.
- W4295362506 cites W2113681880 @default.
- W4295362506 cites W2324331745 @default.
- W4295362506 cites W2342805349 @default.
- W4295362506 cites W2521200033 @default.
- W4295362506 cites W2553110962 @default.
- W4295362506 cites W2793785670 @default.
- W4295362506 cites W2803775299 @default.
- W4295362506 cites W2930122242 @default.
- W4295362506 cites W2936964038 @default.
- W4295362506 cites W2991662500 @default.
- W4295362506 cites W3028839161 @default.
- W4295362506 cites W3093745635 @default.
- W4295362506 cites W3154586727 @default.
- W4295362506 cites W3159269002 @default.
- W4295362506 cites W3178812435 @default.
- W4295362506 doi "https://doi.org/10.7759/cureus.28767" @default.
- W4295362506 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36211105" @default.
- W4295362506 hasPublicationYear "2022" @default.
- W4295362506 type Work @default.
- W4295362506 citedByCount "2" @default.
- W4295362506 countsByYear W42953625062023 @default.
- W4295362506 crossrefType "journal-article" @default.
- W4295362506 hasAuthorship W4295362506A5000009451 @default.
- W4295362506 hasAuthorship W4295362506A5024180560 @default.
- W4295362506 hasAuthorship W4295362506A5028569596 @default.
- W4295362506 hasAuthorship W4295362506A5037722948 @default.
- W4295362506 hasAuthorship W4295362506A5043826849 @default.
- W4295362506 hasAuthorship W4295362506A5045977931 @default.
- W4295362506 hasAuthorship W4295362506A5055876308 @default.
- W4295362506 hasAuthorship W4295362506A5081095213 @default.
- W4295362506 hasAuthorship W4295362506A5081100799 @default.
- W4295362506 hasBestOaLocation W42953625061 @default.
- W4295362506 hasConcept C105795698 @default.
- W4295362506 hasConcept C110875604 @default.
- W4295362506 hasConcept C112698675 @default.
- W4295362506 hasConcept C136764020 @default.
- W4295362506 hasConcept C144133560 @default.
- W4295362506 hasConcept C151730666 @default.
- W4295362506 hasConcept C160735492 @default.
- W4295362506 hasConcept C162324750 @default.
- W4295362506 hasConcept C2777267654 @default.
- W4295362506 hasConcept C2781249084 @default.
- W4295362506 hasConcept C33923547 @default.
- W4295362506 hasConcept C41008148 @default.
- W4295362506 hasConcept C50522688 @default.
- W4295362506 hasConcept C509550671 @default.
- W4295362506 hasConcept C512399662 @default.
- W4295362506 hasConcept C518677369 @default.
- W4295362506 hasConcept C71924100 @default.
- W4295362506 hasConcept C86803240 @default.
- W4295362506 hasConceptScore W4295362506C105795698 @default.
- W4295362506 hasConceptScore W4295362506C110875604 @default.
- W4295362506 hasConceptScore W4295362506C112698675 @default.
- W4295362506 hasConceptScore W4295362506C136764020 @default.
- W4295362506 hasConceptScore W4295362506C144133560 @default.
- W4295362506 hasConceptScore W4295362506C151730666 @default.
- W4295362506 hasConceptScore W4295362506C160735492 @default.
- W4295362506 hasConceptScore W4295362506C162324750 @default.
- W4295362506 hasConceptScore W4295362506C2777267654 @default.
- W4295362506 hasConceptScore W4295362506C2781249084 @default.
- W4295362506 hasConceptScore W4295362506C33923547 @default.
- W4295362506 hasConceptScore W4295362506C41008148 @default.
- W4295362506 hasConceptScore W4295362506C50522688 @default.
- W4295362506 hasConceptScore W4295362506C509550671 @default.
- W4295362506 hasConceptScore W4295362506C512399662 @default.
- W4295362506 hasConceptScore W4295362506C518677369 @default.
- W4295362506 hasConceptScore W4295362506C71924100 @default.
- W4295362506 hasConceptScore W4295362506C86803240 @default.
- W4295362506 hasLocation W42953625061 @default.
- W4295362506 hasLocation W42953625062 @default.
- W4295362506 hasLocation W42953625063 @default.
- W4295362506 hasOpenAccess W4295362506 @default.
- W4295362506 hasPrimaryLocation W42953625061 @default.
- W4295362506 hasRelatedWork W1571048598 @default.
- W4295362506 hasRelatedWork W2002363237 @default.
- W4295362506 hasRelatedWork W2355392461 @default.
- W4295362506 hasRelatedWork W2365638783 @default.
- W4295362506 hasRelatedWork W2748952813 @default.
- W4295362506 hasRelatedWork W2771889395 @default.
- W4295362506 hasRelatedWork W2899084033 @default.
- W4295362506 hasRelatedWork W4243535902 @default.
- W4295362506 hasRelatedWork W4365519450 @default.
- W4295362506 hasRelatedWork W1896948038 @default.