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  • 1
    In: Online Journal of Public Health Informatics, University of Illinois Libraries, Vol. 11, No. 2 ( 2019-09-20)
    Abstract: AbstractBackground: The proper use of Partograph supports to capture key maternal and fetal data. Paper-based Partograph are prone to error, incompleteness, delayed decisions and loss of clients’ information. Electronic (e-Partograph) enables to easily retain and retrieve client data to ensure quality of care. Mobile technologies found an opportunity for resource-limited countries to improve access and quality of health care. Evidences were lacking on end users’ acceptance to e-Partograph.Objective: This study aimed to assess obstetric care providers’ willingness to use mobile based e-Partograph and its associated factors.Methods: Institutional based cross-sectional study was conducted from December 30, 2016 to January 21, 2017. A total 466 obstetric care providers were selected using multistage sampling technique in North Gondar Zone, Northwest Ethiopia.  A structured self-administered questionnaire was used to collect the data. The data were entered in to Epi info version 7 and analyzed by using SPSS version 20. Cronbach’s Alpha test was calculated to evaluate the reliability of data. A multivariable logistic regression analysis were used to identify factors associated with dependent variable. Adjusted odds ratio with 95%CI was used to determine the presence of association.Results:  The study found that 460(99.6%) of care providers owned mobile phone. Smartphone owners accounted only 102(22%). Of them, 205(46%) were willing to use mobile-phone for e-Partograph. Care providers aged 〉 30 years (AOR=2.85, 95% C.I: 1.34-6.05), medical doctors and higher level clinicians (AOR=8.35, 95% C.I: 2.07-33.63), Health Center (AOR=4.41, 95% C.I:.10-9.26), favorable attitude towards Partograph (AOR=2.76, 95% C.I: 1.49-5.09) and related in-service trainings (AOR=7.63, 95% C.I: 3.96-14.69) were enabling factors for willingness to use mobile phone.Conclusions: Almost all obstetric care providers had access to mobile phone, however; smartphone ownership is still low. Willingness to use mobile-phone for e-Partograph was low. Younger aged, lower level clinicians, Hospital based workers, unfavorable attitude on Partograph and lack of in-service trainings were main factors for non-willingness. Hence awareness creation on partograph use and digital capacity building are crucial for effective e-partograph management.         Key words: e-Partograph, Ethiopia, Obstetric care provider, Willingness
    Type of Medium: Online Resource
    ISSN: 1947-2579
    Language: Unknown
    Publisher: University of Illinois Libraries
    Publication Date: 2019
    detail.hit.zdb_id: 2606835-7
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  • 2
    In: Yearbook of Medical Informatics, Georg Thieme Verlag KG, Vol. 30, No. 01 ( 2021-08), p. 026-037
    Abstract: Background: Coronavirus Disease (COVID-19) is currently spreading exponentially around the globe. Various digital health technologies are currently being used as weapons in the fight against the pandemic in different ways by countries. The main objective of this review is to explore the role of digital health technologies in the fight against the COVID-19 pandemic and address the gaps in the use of these technologies for tackling the pandemic. Methods: We conducted a scoping review guided by the Joanna Briggs Institute guidelines. The articles were searched using electronic databases including MEDLINE (PubMed), Cochrane Library, and Hinari. In addition, Google and Google scholar were searched. Studies that focused on the application of digital health technologies on COVID-19 prevention and control were included in the review. We characterized the distribution of technological applications based on geographical locations, approaches to apply digital health technologies and main findings. The study findings from the existing literature were presented using thematic content analysis. Results: A total of 2,601 potentially relevant studies were generated from the initial search and 22 studies were included in the final review. The review found that telemedicine was used most frequently, followed by electronic health records and other digital technologies such as artificial intelligence, big data, and the internet of things (IoT). Digital health technologies were used in multiple ways in response to the COVID-19 pandemic, including screening and management of patients, methods to minimize exposure, modelling of disease spread, and supporting overworked providers. Conclusion: Digital health technologies like telehealth, mHealth, electronic medical records, artificial intelligence, the internet of things, and big data/internet were used in different ways for the prevention and control of the COVID-19 pandemic in different settings using multiple approaches. For more effective deployment of digital health tools in times of pandemics, development of a guiding policy and standard on the development, deployment, and use of digital health tools in response to a pandemic is recommended.
    Type of Medium: Online Resource
    ISSN: 0943-4747 , 2364-0502
    Language: English
    Publisher: Georg Thieme Verlag KG
    Publication Date: 2021
    detail.hit.zdb_id: 2251229-9
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  BMC Health Services Research Vol. 20, No. 1 ( 2020-12)
    In: BMC Health Services Research, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2020-12)
    Abstract: Healthcare providers across all clinical practice settings are progressively relying and adapting information communication technologies to perform their professional activities. In this era of technology, healthcare providers especially in lower income countries should have at least basic digital competency if a successful application of technology is to be achieved. The aim of this study was to assess digital competency of healthcare providers among seven public health centers in North-West Ethiopia. Methods A cross-sectional study design was applied to assess the basic digital competency of healthcare providers working in seven public health centers in North-west Amhara regional state, Ethiopia. Self-administered questionnaire adopted from the European commission’s digital competency framework for assessing digital competency were used. A multivariable logistic regression was performed to identify factors associated with basic digital competency with p -value 〈  0.05 as a rule out for statistical significance. The strength of association was explained in terms of coefficient estimate, adjusted odds ratio and a 95% confidence interval (CI). Result From the total of 193 healthcare providers included in the study, 167 of them responded which is a response rate of 86.5%. The majority of respondents 88 (52.7%) were males and the mean age was 28.2 years with a standard deviation of 5.5 years. The result indicated that all items demonstrated an adequate level of internal consistency with Cronbach alpha 〉  0 .7. Healthcare providers in those public health centers reported that problem solving, safety and communication are the most common challenges encountered. The multivariable logistic regression model indicated that factors such as sex, educational status, profession type, monthly income and years of experience are statistically significant predictors. Conclusion Basic digital competency level of healthcare providers working in public health centers in this setting is relatively low. The results highlight the need to improve digital competency among healthcare providers focusing on the identified skill gaps.
    Type of Medium: Online Resource
    ISSN: 1472-6963
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2050434-2
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  • 4
    In: Informatics in Medicine Unlocked, Elsevier BV, Vol. 36 ( 2023), p. 101157-
    Type of Medium: Online Resource
    ISSN: 2352-9148
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2854226-5
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  • 5
    In: PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 8 ( 2022-8-18), p. e0272701-
    Abstract: By spacing births and preventing unintended pregnancies, family planning is a crucial technique strategy for controlling the fast expansion of the human population. It also improves maternal and child health. women who are thought to be sexually active but who do not use modern contraception methods, who either do not want to have any more children (Limiting) or who want to delay having children for at least two years are considered to have an unmet need for family planning (Spacing). Objective This study carried out to determine which socio-demographic factors are the key contributors to the discrepancies in the unmet need for family planning among women of reproductive age between surveys years 2005 and 2016. Methods The data for this study arrived from the Ethiopia Demographic Health Surveys in 2005, 2011, and 2016 to investigate trends and Predictors of change of unmet need for family planning among reproductive age women in Ethiopia. Pooled weighted sample of 26,230 (7761 in 2005, 9136 in 2011 and 9,333 in 2016 Ethiopian demographic health surveys) reproductive-age women were used for this study. For the overall trend (2005–2016) multivariable decomposition analysis for non-linear response outcome was calibrated to identify the factors that contributed to the change of unmet need for family planning. The Logit based multivariable decomposition analysis utilizes the output from the logistic regression model to assign the observed change in unmet need for family planning over time into two components. Stata version 16.0 was used to analyze the data. Result The percentage of Ethiopian women of reproductive age who still lack access (unmet need) for family planning declined from 39.6% in 2005 to 23.6 percent in 2016. The decomposition analysis revealed that the change of unmet need for family planning was due to change in characteristics and coefficients. The difference in coefficients accounted for around nine out of 10 variations in unmet family planning need. Education level, birth order, and desired number of children were all factors that changed over the course of the last 11 years in relation to the unmet need for family planning. Conclusion Between 2005 and 2016, there were remarkable changes in unmet need for family planning. Women with birth orders of five and up, women with secondary education, and women who wanted fewer children overall were the main causes of the change in unmet need for family planning.
    Type of Medium: Online Resource
    ISSN: 1932-6203
    Language: English
    Publisher: Public Library of Science (PLoS)
    Publication Date: 2022
    detail.hit.zdb_id: 2267670-3
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  • 6
    In: DIGITAL HEALTH, SAGE Publications, Vol. 8 ( 2022-01), p. 205520762211133-
    Abstract: Social media has become an alternative platform for communication during medical crises like the COVID-19 pandemic. This study aimed to assess social media usage for COVID-19-related information among health professionals. Method A quantitative cross-sectional study design was conducted among 370 health professionals. The data were analyzed using SPSS version 25 software. Data were collected using a semi-structured, self-administered, and pre-tested questionnaire. Descriptive and binary logistic regression analysis techniques were used to describe respondents’ social media usage for COVID-19 information and identify its associated factors. Results About 54% (95% CI: 48–58%) of the participants had good social media usage for COVID-19-related information. Age≤30 (AOR = 2.02, 95% CI: 1.14–3.58), Wi-Fi/broadband Internet access (AOR = 2.45, 95% CI: 1.38–4.33), taking computer training (AOR = 2.58, 95% CI: 1.37–4.85), basic computer skill (AOR = 3.28, 95% CI: 1.71–6.29), and usefulness of social media (AOR = 3.56, 95% CI: 1.57–8.04) were found to be the significant factors associated with usage of social media for COVID-19-related information. Conclusion The present study confirms that more than half of health professionals had good social media usage for COVID-19-related information. This shows that social media platforms can be used as a source of COVID-19-related information for health professionals if basic computer training is offered, internet connection is available in the workplace, and the usefulness of social media is emphasized.
    Type of Medium: Online Resource
    ISSN: 2055-2076 , 2055-2076
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2819396-9
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  • 7
    In: Informatics in Medicine Unlocked, Elsevier BV, Vol. 39 ( 2023), p. 101268-
    Type of Medium: Online Resource
    ISSN: 2352-9148
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2854226-5
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  • 8
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2020
    In:  BMC Medical Informatics and Decision Making Vol. 20, No. 1 ( 2020-12)
    In: BMC Medical Informatics and Decision Making, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2020-12)
    Abstract: Chronic patients persistently seek for health information on the internet for medication information seeking, nutrition, disease management, information regarding disease preventive actions and so on. Consumers ability to search, find, appraise and use health information from the internet is known as eHealth literacy skill. eHealth literacy is a congregate set of six basic skills (traditional literacy, health literacy, information literacy, scientific literacy, media literacy and computer literacy). The aim of this study was to assess eHealth literacy level and associated factors among internet user chronic patients in North-west Ethiopia. Methods Institutional based cross-sectional study design was conducted. Stratified sampling technique was used to select 423 study participants among chronic patients. The eHealth literacy scale (eHEALS) was used for data collection. The eHEALS is a validated eight-item Likert scaled questionnaire used to asses self-reported capability of eHealth consumers to find, appraise, and use health related information from the internet to solve health problems. Statistical Package for Social science version 20 was used for data entry and further analysis. Multivariable logistic regression was used to examine the association between the eHealth literacy skill and associated factors. Significance was obtained at 95% CI and p   〈  0.05. Result In total, 423 study subjects were approached and included in the study from February to May, 2019. The response rate to the survey was 95.3%. The majority of respondents 268 (66.3%) were males and mean age was 35.58 ± 14.8 years. The multivariable logistic regression model indicated that participants with higher education (at least having the diploma) are more likely to possess high eHealth literacy skill with Adjusted Odds Ratio (AOR): 3.48, 95% CI (1.54, 7.87). similarly, being government employee AOR: 1.71, 95% CI (1.11, 2.68), being urban resident AOR: 1.37, 95% CI (0.54, 3.49), perceived good health status AOR: 3.97, 95% CI (1.38, 11.38), having higher income AOR: 4.44, 95% CI (1.32, 14.86), Daily internet use AOR: 2.96, 95% CI (1.08, 6.76), having good knowledge about the availability and importance of online resources AOR: 3.12, 95% CI (1.61, 5.3), having positive attitude toward online resources AOR: 2.94, 95% CI (1.07, 3.52) and higher level of computer literacy AOR: 3.81, 95% CI (2.19, 6.61) were the predictors positively associated with higher eHealth literacy level. Conclusion Besides the mounting indication of efficacy, the present data confirm that internet use and eHealth literacy level of chronic patients in this setting is relatively low which clearly implicate that there is a need to fill the skill gap in eHealth literacy among chronic patients which might help them in finding and evaluating relevant online sources for their health-related decisions.
    Type of Medium: Online Resource
    ISSN: 1472-6947
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2046490-3
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  • 9
    In: Cogent Medicine, Informa UK Limited, Vol. 8, No. 1 ( 2021-01-01)
    Type of Medium: Online Resource
    ISSN: 2331-205X
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2818160-8
    detail.hit.zdb_id: 3136987-X
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  • 10
    In: Journal of Multidisciplinary Healthcare, Informa UK Limited, Vol. Volume 13 ( 2020-12), p. 1957-1964
    Type of Medium: Online Resource
    ISSN: 1178-2390
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2453343-9
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