| Literature DB >> 31413585 |
Ivan Chérrez-Ojeda1,2, Emanuel Vanegas1,2, Miguel Felix1,2, Valeria L Mata1,2, Antonio Wd Gavilanes3,4, Peter Chedraui5,6.
Abstract
OBJECTIVES: This study was designed to assess the use and preferences for information and communication technologies (ICTs) among patients with hypertension in Ecuador.Entities:
Keywords: Latin America; hypertension; information and communication technology; self-management; social media
Year: 2019 PMID: 31413585 PMCID: PMC6661996 DOI: 10.2147/JMDH.S208861
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
General characteristics of the surveyed population (n=162)
| Characteristics | Value n (%) |
|---|---|
| 57.1±12.3 | |
| Years with hypertension, mean (SD) | 8.4±7.8 |
| Male | 67 (41.4) |
| Female | 95 (58.6) |
| No education | 1 (0.6) |
| Primary | 42 (25.9) |
| High school | 57 (35.2) |
| University | 56 (34.6) |
| Post graduate | 6 (3.7) |
| Hispanic/Mestizo | 147 (90.7) |
| African-American | 2 (1.2) |
| Indigenous/native | 1 (0.6) |
| White | 11(6.8) |
Abbreviation: SD, standard deviation.
Figure 1Frequency of use of information and communication technologies in patients with hypertension.
Abbreviation: SMS, short message service.
Figure 2Use of ICTs to obtain information related to hypertension and interest in receiving health-related information and communicating with health care providers through ICTs.
Interest in receiving information related to hypertension through ICTs
| Variable | Mildly-moderately interested in receiving information through ICT type OR (95% CI) | Very-extremely interested in receiving information through ICT type OR (95% CI) |
|---|---|---|
| Educational levela | ||
| No Education/Pre-tertiary education | 1.92 (0.68–5.44) | |
| Age | ||
| Educational level | ||
| No Education/Pre-tertiary education | 0.72 (0.33–1.56) | |
| Years with disease | 0.98 (0.92–1.05) | |
| Age | 0.94 (0.90–1.00) | |
| Educational level | ||
| No Education/Pre-tertiary education | 2.14 (0.85–5.44) | |
| Age | 0.97 (0.93–1.02) | |
Notes: Regression analysis were adjusted for variables such as age, gender, educational level, and years with disease. Bolded values are significant at 0.05 significance level. aReference educational level category is university/postgraduate.
Abbreviations: ICTs, information and communication technologies; SMS, short message service.
Interest in asking health-related information through ICTs
| Variable | Mildly-moderately interested in asking information through ICT type OR (95% CI) | Very-extremely interested in asking information through ICT type OR (95% CI) |
|---|---|---|
| Educational levela | ||
| No education/pretertiary education | 1.32 (0.40–4.30) | |
| Educational level | ||
| No education/pretertiary education | 1.43 (0.50–4.08) | |
| Age | 0.95 (0.89–1.00) | |
| Genderb | 1.61 (0.74–3.50) | |
| Male | ||
| Age | 0.95 (0.88–1.01) | |
| Age | 0.99 (0.94–1.02) | |
| Age | ||
Notes: Regression analysis was adjusted for variables such as age, gender, educational level and years with disease. Bolded values are significant at the 0.05 significance level. aReference educational level category is university/postgraduate. bReference gender category is female.
Abbreviations: ICTs, information and communication technologies; SMS, short message service.