Official Organ of Indian Association for Medical Informatics (IAMI) ... study found that some of staff never used internet and computer, the percentage was 10.9.
Indian Journal of Medical Informatics
2014
APAMI 2014 [Internet Use Behavior and E-Health Literacy of Indonesia’s --]
Internet Use Behavior of Leprosy Control Program Staff at Indonesia’s Public Health Center, How Are Their E-Health Literacy? Enny Rachmani1; Dai, Hong-Jie1; Hsu, Chien-Yeh2 1
Graduate Institute of Biomedical Informatics, College of Medical Science and Technology (COSMT), Taipei Medical University, Taipei, Taiwan 2 Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan
Abstract Objectives: Indonesia have started to implement Health Information System (HIS) at public health centers (PHCs) for collecting and reporting data. Commonwealth‘s report showed the fact that digital health literacy in developing country is still low. The objective of this study is to examine the correlation between internet use behavior and e-health literacy scale of leprosy staff at Pekalongan District, Indonesia. Methods: Pekalongan District has 27 PHC and all of them were observed by this study. Respondents of this research were 55 responsible staff of leprosy control program (LCP). They consist of leprosy district supervisor, PHC’s managers and leprosy staff. This study used a modification of the graphic, visualization, and usability (GVU) center's WWW user questionnaire to capture internet behavior and an e-heals scale questionnaire to measure e-health literacy of LCP staff. Results: This study found that some of staff never used internet and computer, the percentage was 10.9 percent and 7.3 percent respectively. Only 14.5 percent of leprosy staff ever took computer/internet class. Leprosy staff‘s computer skill was higher than internet skill, the data showed 43.6 percent of staff had poor internet skill whereas 38.2 percent had poor computer skill. Furthermore 60 percent of leprosy staff never accessed internet from their office. Result from e-heals scale showed that more than 80 percent of leprosy staff knew where they could find health resource from internet and more than 75 percent also could judge the quality resources from the internet. Further more than 60 percent staff was confident using information from the internet. Leprosy staff had e-heals score range between 28 and 48 from maximum score 50. The mean of score and the standard deviation were 38.44 and 4.16, respectively. Correlation between internet use behavior and e-health literacy had Rho 0.4 (p < 0.01). Conclusion: The deployment of HIS in Indonesia’s LCP is noteworthy; furthermore the computer and internet skills of leprosy staff need to be increased. Doing intensive training before implementation any kind of HIS in PHC is urgent to accomplish. The activities addressed in this article could prevent the failure of deployment of the system and maintain the sustainability of using the systems in the future. Keywords: Primary Health Care, Leprosy, e-health literacy, computer literacy
Background Indonesia still has problems in leprosy control program (LCP). It was showed by high new cases founded every year. In 2012, Indonesia reported 22,390 registered prevalence, 18,894 new cases and 2,131 grade 2 disability. It made Indonesia become one of the biggest three cases in the world (1). Indonesia has 34 provinces and 29 % of them was classified as high burden areas in 2012, recently there was a tendency of increase grade-2 disability in detecting new cases (2). The data showed there were problems in detect new cases because patient was late to be found by health care institution. WHO already gave guideline to eliminate leprosy through innovative approach for case finding in order to reduce delay detect new cases and to prevent the grade-2 disabilities of new cases, one of them is using health information system (HIS) (3). The previous study showed that Indonesia’s LCP need an implementation of HIS to monitor drug treatment and to detect a new cases in leprosy control program (4). Implementation of HIS sometimes met failures because number of reasons, one of them is the low of digital literacy of health profession. The research from commonwealth confirm that digital literacy in developing country is still low specially in community health workers or public health center staff (5). In Indonesia there was no data available through researches about digital literacy and e-health literacy of health staff although Indonesia’s Ministry of Health already started to implement HIS in the public health centers (PHCs). This study would examine correlation between internet use behavior and e-health literacy scale of Official Organ of Indian Association for Medical Informatics (IAMI)
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Indian Journal of Medical Informatics
2014
APAMI 2014 [Internet Use Behavior and E-Health Literacy of Indonesia’s --] leprosy staff in PHC in Pekalongan District.
Methods Pekalongan District is one of epidemic area in Central Java Province. This study chose Pekalongan district based on the result of focus group discussion in Health Office of Central Java Province, Indonesia. Leprosy control program was managed in PHC by leprosy control staff as the executors program. Pekalongan district has 27 PHC and all of them was used as samples. This study collected 55 respondents as responsible staff of LCP, which consisted of Manager of PHC, Leprosy district supervisors and LCP staff. This study used a modification of the graphic, visualization, and usability (GVU) center’s WWW user survey to measure the internet use behavior of samples. The literacy of e-health was measured by e-heals scale questionnaire (6, 7). This study also made observation in PHC to check the internet connection.
Results This study herein described the internet behavior of responsible staff of leprosy control program in 27 PHCs. Respondents were compose of 63.6 percent male and 36.4 percent female. Education background of respondents was 36.4 percent diploma degree and 49.1 percent bachelor degree. The others were master degree and senior high school with 12.7 percent and 1.8 percent respectively. [Table 1 about internet behavior of leprosy staff at Pekalongan District] Variables Ever use computer Ever use internet Ever take a computer/internet class Rate own computer skills
Rate own internet skills
Frequently access internet from home
Frequently access internet from work
Satisfied of internet skill
Category No Yes No Yes No Yes Poor Adequate Good Excellent Poor Adequate Good Excellent Daily Weekly Monthly < once a month Never Daily Weekly Monthly < once a month Never Very unsatisfied Somewhat unsatisfied Neither unsatisfied nor satisfied Somewhat satisfied Very satisfied
f
%
4 51 6 49 47 8 21 23 9 2 24 23 7 1 16 9 4 15 11 8 6 1 7 33 0 16 10 28 1
7.3 92.7 10.9 89.1 85.5 14.5 38.2 41.8 16.4 3.6 43.6 41.8 12.7 1.8 29.1 16.4 7.3 27.3 20 14.5 10.9 1.8 12.7 60 0 29.1 18.2 50.9 1.8
Table 1 showed more than 90 percent respondents ever used computer and almost 90 percent ever used internet. 29.1 percent of them access internet daily from their home, but 60 percent never access from Official Organ of Indian Association for Medical Informatics (IAMI)
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Indian Journal of Medical Informatics
2014
APAMI 2014 [Internet Use Behavior and E-Health Literacy of Indonesia’s --] their offices. More than 50 percent satisfied with their internet skills. To measure e-health literacy scale, this study used e-heals which had 10 questions with each of them had 5 scale. Respondents had mean of e-heals scale 38.44 from the maximum score 50 with standard deviation 4.16. Minimum and maximum values were 28 and 48 respectively. [Table 2 about frequency of e-health literacy scale of leprosy staff at Pekalongan District] Variables Know where to find helpful health resources on the internet
Have the skills to evaluate the health resources from internet
Can tell the high quality health resources from internet
Feel confident using information from internet to make health decision
Category Strongly Disagree Disagree Undecided Agree Strongly agree Strongly Disagree Disagree Undecided Agree Strongly agree Strongly Disagree Disagree Undecided Agree Strongly agree Strongly Disagree Disagree Undecided Agree Strongly agree
f 0 0 7 44 4 0 2 14 37 2 0 0 13 41 1 2 3 16 33 1
% 0 0 12.7 80 7.3 0 3.6 25.5 67.3 3.6 0 0 23.6 74.5 1.8 3.6 5.5 29.1 60 1.8
Table 2 showed that most of the respondents accept internet as one of the source of health information. Internet behavior and e-health literacy had significant correlation with Rho 0.42 (p
