| Literature DB >> 28717641 |
Juan Calderón1,2, Annia Cherrez1,3, Germán Darío Ramón4, Orlando Lopez Jove5, Alan Baptist6, Edgar Matos7, Blanca Morfín Maciel8, Erick Calero1,2, Mario Sanchez-Borges9, Sofia Cherrez1,3, Daniel Simancas-Racines10, Ivan Cherrez Ojeda1,2.
Abstract
Rapid diffusion, low cost and broad availability of information and communication technologies (ICTs) make them an attractive platform for managing care, communication and interventions in asthma. There is little information in Latin America about usage frequency of ICTs in asthmatic patients. The analysis undertaken consisted of an observational, cross-sectional study that aimed to identify the frequency and type of ICTs most often used by asthmatics. The Spanish version of the Michigan questionnaire was employed in five Latin American countries. Age and educational level was categorised. Logistic regression was performed among these groups concerning the frequency of ICT usage and the level of interest shown in seeking and receiving information about asthma. In total, 673 asthma patients were surveyed. The mean age was 43.44 years. Over two-thirds of the participants were female (68.4%). The most used ICT was the short message service (SMS) (69.9%). SMS and E-mail are useful tools for communicating (i.e. receiving and seeking information) with all asthma patients, irrespective of their age. WhatsApp (61.5%) and Facebook (32.0%) were rated as being the most interesting channels of communication for receiving information. Regression analysis showed that younger asthmatics and asthmatics with higher educational levels were most likely to use almost all forms of ICTs. ICTs are generally an attractive platform for managing care, communication and interventions to improve asthma care. SMS and E-mail were found to be the preferred ICT forms among users. However, social media forms such as WhatsApp and Facebook may also be appropriate for certain types of patient.Entities:
Year: 2017 PMID: 28717641 PMCID: PMC5507145 DOI: 10.1183/23120541.00005-2017
Source DB: PubMed Journal: ERJ Open Res ISSN: 2312-0541
Demographic information for the surveyed population
| 673 | |
| 12–18 years (young) | 95 (14.1%) |
| 18–40 years (adult) | 217 (32.2%) |
| >40 years (old adult) | 361 (53.6%) |
| Male | 213 (31.6%) |
| Female | 460 (68.4%) |
| White | 270 (40.1%) |
| Native | 8 (1.2%) |
| Hispanic/mestizo | 375 (55.7%) |
| Black | 9 (1.3%) |
| Other | 2 (0.3%) |
| No education/elementary | 132 (19.6%) |
| High school | 288 (42.8%) |
| University/postgraduate | 252 (37.4%) |
| 0–5 years | 201 (29.9%) |
| >5 years | 446 (66.3%) |
Use and level of interest in receiving information and use and level of interest in directing questions to a physician through information and communication technology (ICT)
| 95 | 217 | 391 | 673 | ||
| Internet access | 94.3% | 92.6% | 61.4% | <0.001 | 76.6% |
| A cell phone | 94.4% | 97.3% | 86.4% | <0.001 | 91.2% |
| A smartphone | 69% | 78.6% | 44.3% | <0.001 | 59.5% |
| SMS | 61.2% | 79.7% | 65.8% | 0.001 | 69.9% |
| 60% | 72.2% | 36.5% | <0.001 | 51.4% | |
| 30.6% | 30.9% | 9.2% | <0.001 | 19.9% | |
| YouTube | 44.7% | 56.3% | 16.3% | <0.001 | 33.4% |
| 46.3% | 67.5% | 36.1% | <0.001 | 47.9% | |
| Internet | 64.6% | 74.6% | 44.4% | <0.001 | 56.8% |
| 18.8% | 25% | 5.5% | <0.001 | 14.1% | |
| Skype | 25.4% | 30.1% | 8% | <0.001 | 18.1% |
| SMS | 51.2% | 58.2% | 60.5% | 0.322 | 58.5% |
| 43% | 47.3% | 19.6% | <0.001 | 32% | |
| 31.3% | 19.4% | 2.4% | <0.001 | 11.6% | |
| 24.2% | 9.8% | 1.8% | <0.001 | 7.6% | |
| 41% | 59.3% | 34.3% | <0.001 | 43.6% | |
| 72.3% | 76.8% | 48.1% | <0.001 | 61.5% | |
| SMS | 51.9% | 61.9% | 60.9% | 0.266 | 60% |
| 46.2% | 41.3% | 19.6% | <0.001 | 30.4% | |
| 18.5% | 17% | 2.7% | <0.001 | 9.3% | |
| 20% | 10.8% | 2.2% | <0.001 | 7.5% | |
| 37.7% | 56.4% | 33.1% | <0.001 | 41.5% | |
| 69.5% | 74.9% | 44.2% | <0.001 | 58.4% | |
Differences in values between the three age groups are significant at the 0.05 significance level. SMS: short message service.
Characteristics of frequent users of selected information and communication technology (ICT) type (at least once a week), showing high/some interest in receiving information and asking physicians about asthma
| Sex # | ||
| Female | 2.61 (1.78–3.79) | 2.55 (1.76–3.69) |
| Weekly SMS use¶ | 1.81 (1.27–2.60) | 2.57 (1.78–3.69) |
| Age+ | ||
| Young | 2.75 (1.51–5.00) | 3.69 (2.05–6.65) |
| Adult | 2.90 (1.88–4.48) | 2.45 (1.58–3.80) |
| Education level§ | ||
| University/postgraduate | 3.22 (1.66–6.26) | 2.05 (1.11–3.78) |
| Weekly Facebook use | 12.58 (7.73–20.47) | 12.04 (7.34–19.75) |
| Age+ | ||
| Adult | 1.63 (1.08–2.45) | 1.67 (1.11–2.49) |
| Education level§ | ||
| University/postgraduate | 11.73 (6.06–22.69) | 8.66 (4.61–16.25) |
| Weekly E-mail use | 12.04 (8.06–17.98) | 13.48 (8.90–20.43) |
Data are presented as OR (95% CI). The regression analysis was adjusted for variables such as age, sex, educational level and duration of time with asthma since diagnosis. Regression analyses using weekly ICT types were performed separately (non-adjusted). All values displayed are significant at the 0.05 significance level. SMS: short message service. #: reference sex is male; ¶: reference ICT use is less than once a week; +: reference age category is old adult; §: reference educational level category is no education/elementary.
Characteristics of WhatsApp users showing interest in receiving information and asking physicians about asthma through this information and computer technology form
| Age# | ||
| Young | 3.16 (1.17–5.82) | 2.69 (1.49–4.85) |
| Education level¶ | ||
| University/postgraduate | 3.79 (2.20–6.54) | 4.26 (2.43–7.47) |
Data are presented as OR (95% CI). The regression analysis was adjusted for variables such as age, sex, educational level and duration of time with asthma since diagnosis. All values displayed are significant at the 0.05 significance level. #: reference age category is old adult; ¶: reference educational level category is no education/elementary.