Minimum data set as a necessity for designing a mobile-based self-care application for skin and hair diseases.
Background A minimum data set (MDS) helps patients to improve their self-management practices and allows doctors to better analyse their patients' health status. This study is designed to identify a MDS for a mobile-based self-care application (app) using herbal treatments for 19 common skin and hai...
| Publicado en: | Australian Journal of Herbal & Naturopathic Medicine Vol. 33; no. 2; pp. 72 - 81 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
National Herbalists Association of Australia (NHAA)
2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150697472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150697472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2209119X LFFF jtl: Australian Journal of Herbal & Naturopathic Medicine issn: 2209119X maglogo: N pubinfo: dt: 2021 vid: 33 iid: 2 pid: 12599 pub: National Herbalists Association of Australia (NHAA) artinfo: ui: 150697472 150697472 150697472 10.33235/ajhnm.33.2.72-80 150697472 ppf: 72 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Minimum data set as a necessity for designing a mobile-based self-care application for skin and hair diseases. aug: au: Shahmoradi, Leila Izadi, Nakisa Shirbeigi, Laila Kandi, Mohammad J. Barzegari, Saeed Rezayi, Sorayya affil: Halal Research Center of IRI, FDA, Tehran, Iran sug: subj: Minimum Data Set Mobile Applications Software Design Self Care Skin Diseases Drug Therapy Hair Diseases Drug Therapy Medicine, Herbal Human Descriptive Research Analytic Research Questionnaires Content Validity Summated Rating Scaling Reliability Data Analysis Software Descriptive Statistics Coefficient alpha Iran Convenience Sample ab: Background A minimum data set (MDS) helps patients to improve their self-management practices and allows doctors to better analyse their patients' health status. This study is designed to identify a MDS for a mobile-based self-care application (app) using herbal treatments for 19 common skin and hair diseases. Methods In this descriptive and analytical study, a comprehensive study of a MDS for a self-care program for the herbal treatment of 19 common skin and hair diseases is outlined. The research tool was a questionnaire developed by the researchers. The developed questionnaire had three main axes - app functionality (eight questions), elements of the temperament survey (ten questions), and a clinical section (273 questions). The content validity of the questionnaire was assessed using a content validity ratio (CVR) and the reliability of the questionnaire was assessed using a 5-point Likert scale. The data were analysed using SPSS 0.19. Results Out of 291 data elements that were placed on the initial survey, 19 components having a CVR below 62% were eliminated. In the results of the subsequent 5-point Likert scale, the average scores of respondents - except one that was 65% and was deleted - were above 75% and acceptable. The Cronbach's alpha (α) was found to be excellent (α=94.8%). This resulted in a total of 271 items in the final questionnaire. Conclusion Determining a MDS for self-care from the viewpoint of relevant specialists will be effective in caring for patients. As such, the present study provides information on the most common skin and hair diseases. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|