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      Health information use and associated factors among healthcare professionals in Ilu Aba Bor zone, Oromia region, Ethiopia: an institution-based cross-sectional study

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          Abstract

          Background

          Health information systems are essential for collecting data for planning, monitoring and evaluating health services. Using reliable information over time is an important aid in improving health outcomes, tackling disparities, enhancing efficiency and encouraging innovation. Studies on the level of health information use among health workers at the health facility level in Ethiopia are limited.

          Objectives

          This study was designed to assess the level of health information use and associated factors among healthcare professionals.

          Methods

          An institution-based cross-sectional study was conducted among 397 health workers in health centres in the Iluababor zone of Oromia region in southwest Ethiopia, who were chosen using a simple random sampling technique. Data were collected using a pretested, self-administered questionnaire and an observation checklist. The Strengthening the Reporting of Observational Studies in Epidemiology reporting checklist was used to report the summary of the manuscript. Bivariable and multivariable binary logistic regression analysis was used to identify the determinant factors. Variables with a p value <0.05 at 95% CIs were declared significant.

          Results

          It was found that 65.8% of the healthcare professionals had good health information usage. Use of Health Management Information System (HMIS) standard materials (adjusted OR (AOR)=8.10; 95% CI 3.51 to 16.58), training on health information (AOR=8.31; 95% CI 4.34 to 14.90), completeness of report formats (AOR=10.24; 95% CI 5.0 to 15.14) and age (AOR=0.4; 95% CI 0.2 to 0.77) were found to be significantly associated with health information use.

          Conclusion

          More than three-fifths of healthcare professionals had good health information usage. Completeness of report format, training, use of standard HMIS materials and age were significantly associated with health information usage. Ensuring the availability of standard HMIS materials and report completeness and providing training, particularly for newly recruited health workers are highly recommended to enhance health information usage.

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          Most cited references26

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          Health information seeking in the digital age: An analysis of health information seeking behavior among US adults

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            Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model.

            One of the most important factors for the success of health information technology (IT) implementation is users' acceptance and use of that technology. Thailand has implemented the national universal healthcare program and has been restructuring the country's health IT system to support it. However, there is no national data available regarding the acceptance and use of health IT in many healthcare facilities, including community health centers (CHCs). This study employed a modified Unified Theory of Acceptance and Use of Technology (UTAUT) structural model, to understand factors that influence health IT adoption in community health centers in Thailand and to validate this extant IT adoption model in a developing country health care context.
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              An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit).

              The realization of Health Information Systems (HIS) requires rigorous evaluation that addresses technology, human and organization issues. Our review indicates that current evaluation methods evaluate different aspects of HIS and they can be improved upon. A new evaluation framework, human, organization and technology-fit (HOT-fit) was developed after having conducted a critical appraisal of the findings of existing HIS evaluation studies. HOT-fit builds on previous models of IS evaluation--in particular, the IS Success Model and the IT-Organization Fit Model. This paper introduces the new framework for HIS evaluation that incorporates comprehensive dimensions and measures of HIS and provides a technological, human and organizational fit. Literature review on HIS and IS evaluation studies and pilot testing of developed framework. The framework was used to evaluate a Fundus Imaging System (FIS) of a primary care organization in the UK. The case study was conducted through observation, interview and document analysis. The main findings show that having the right user attitude and skills base together with good leadership, IT-friendly environment and good communication can have positive influence on the system adoption. Comprehensive, specific evaluation factors, dimensions and measures in the new framework (HOT-fit) are applicable in HIS evaluation. The use of such a framework is argued to be useful not only for comprehensive evaluation of the particular FIS system under investigation, but potentially also for any Health Information System in general.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2023
                13 March 2023
                : 13
                : 3
                : e067540
                Affiliations
                [1 ] Ilu Aba Bor Zone Health Department , Mattu, Oromia Region, Ethiopia
                [2 ] departmentDepartment of Public Health , Mattu University , Mattu, Oromia Region, Ethiopia
                [3 ] departmentDepartment of Environmental Health and Technology , Jimma University , Jimma, Ethiopia
                Author notes
                [Correspondence to ] Mr Asrat Zewdie; asratzewdie49@ 123456gmail.com
                Author information
                http://orcid.org/0000-0001-9526-839X
                http://orcid.org/0000-0001-8459-9150
                http://orcid.org/0000-0002-0651-5684
                Article
                bmjopen-2022-067540
                10.1136/bmjopen-2022-067540
                10016269
                36914187
                118e189e-993b-4dd0-aad0-76337c758ecf
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 18 August 2022
                : 20 February 2023
                Categories
                Health Informatics
                1506
                1702
                Original research
                Custom metadata
                unlocked

                Medicine
                health informatics,information management,telemedicine,protocols & guidelines,organisation of health services

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