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Profile of participants and academic results

Profile of participants and academic results

Source publication
Article
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The objective of this paper is to present the distance education's contribution to developing health promotion in Chile, through evaluation of a postgraduate certificate program for professionals, and a training course for nurse technicians working in primary healthcare, with an 8-month follow-up after program completion. The program methodology wa...

Contexts in source publication

Context 1
... sciences and education professionals (social workers, psychologists and educators) made up 38% of participants, while 62% represented the biomedical area (nutritionists, midwives, nurses, physical therapists, dentists and others). Everyone who participated had a university degree representing at least 4 years of study (Table 1). ...
Context 2
... the training course, there were 172 technicians whose average age was 37 years and with an average of 9.7 years of work experience. In the group, 89% were women and 46% were from rural districts (Table 1). High-level nurse technicians received on average 2 years of training and work in all PHC programs (family health, dental health, children's health, women's health, adult health, nutrition, social assistance, pharmacy and others). ...
Context 3
... technicians had significantly less experience with distance education than the professionals. For 85% of the technicians, this was their first experience with distance education, compared with 31% of the professionals (Table 1). ...
Context 4
... χ 2 test was calculated to compare groups, using STATA 10.1 for Windows. Table 1 shows the pass rates, with higher values for professionals than technicians (87 and 76%, respectively), but these differences are not significant. The reasons for failure were poor performance or deferment. ...

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... A small proportion of studies measured participation using a variety of methods including class attendance , interaction with class discussion forums or completing class exercises (Adwan, 2016;Carrizosa et al., 2018;dos Reis et al., 2019;Salinas et al., 2017), obtaining learning platform analytic data (Reese et al., 2021;Wlodarczyk et al., 2017), and finally student evaluation about their participation experience (Figuccio, 2020;Liaw et al., 2016;Peterson et al., 2016). While participation data reflects student reactions, it does not evaluate learning effectiveness (Lima et al., 2019) and neglects to inform teachers of how students used online platforms (Backhouse et al., 2017). ...
... Pre-test/post-test designs were also used to measure students' knowledge (e.g., Salinas et al., 2017) and performance (e.g., Backhouse et al., 2017) before and after training. However, some studies reported high dropout rates in the post-test phase (Annan et al., 2020;dos Reis et al., 2019;Gagnon et al., 2015;Reese, 2021;Reviriego et al., 2014), while others reported difficulties in accurately measuring the long-term impact of knowledge acquisition (Backhouse et al., 2017). ...
... Various studies used follow-up questionnaires, ranging from one month to four years after course completion. Follow-up questionnaires implemented at one month had a 78 percent response rate (Wlodarczyk et al., 2017), while others implemented at eight months achieved 67 percent (Salinas et al., 2017). Gorchs-Molist et al. (2020) reported multiple follow-up periods, including after 1-2 years (71% response rate) and 3-4 years (91% response rate). ...
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... Various studies used follow-up questionnaires, ranging from one month to four years after course completion. Follow-up questionnaires implemented at one month had a 78 percent response rate (Wlodarczyk et al., 2017), while others implemented at eight months achieved 67 percent (Salinas et al., 2017). Gorchs-Molist et al. (2020) reported multiple follow-up periods, including after 1-2 years (71% response rate) and 3-4 years (91% response rate). ...
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