Electronic medical record use and associated factors among healthcare professionals at public health facilities in Dire Dawa, eastern Ethiopia: A mixed-method study

Tolera, Abebe; Oljira, Lemessa; Dingeta, Tariku; Abera, Admas; Roba, Hirbo Shore

doi:10.3389/fdgth.2022.935945

Cited by 6 publications

(17 citation statements)

References 35 publications

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“…Some of these barriers are economy, 25 26 infrastructure 25 and policy. 26 In addition to these, healthcare professionals’ readiness, 27 poor collaboration among stakeholders, 28 and relying on software provided by non-governmental organizations (NGOs) 28 are affecting EHR adoption in LICs. However, due to the development of open-source systems, support from international donors and homegrown software development campaign 29 ; EHR adoption in LICs is becoming feasible and a future direction.…”

Section: Introductionmentioning

confidence: 99%

Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review

Woldemariam,

Jimma

2023

BMJ Health Care Inform

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BackgroundElectronic health record (EHR) systems are mentioned in several studies as tools for improving healthcare quality in developed and developing nations. However, there is a research gap in presenting the status of EHR adoption in low-income countries (LICs). Therefore, this study systematically reviews articles that discuss the adoption of EHR systems status, opportunities and challenges for improving healthcare quality in LICs.MethodsWe used Preferred Reporting Items for Systematic Reviews and Meta-Analyses in articles selected from PubMed, Science Direct, IEEE Xplore, citations and manual searches. We focused on peer-reviewed articles published from January 2017 to 30 September 2022, and those focusing on the status, challenges or opportunities of EHR adoption in LICs. However, we excluded articles that did not consider EHR in LICs, reviews or secondary representations of existing knowledge. Joanna Briggs Institute checklists were used to appraise the articles to minimise the risk of bias.ResultsWe identified 12 studies for the review. The finding indicated EHR systems are not well implemented and are at a pilot stage in various LICs. The barriers to EHR adoption were poor infrastructure, lack of management commitment, standards, interoperability, support, experience and poor EHR systems. However, healthcare providers’ perception, their goodwill to use EMR and the immaturity of health information exchange infrastructure are key facilitators for EHR adoption in LICs.ConclusionMost LICs are adopting EHR systems, although it is at an early stage of implementation. EHR systems adoption is facilitated or influenced by people, environment, tools, tasks and the interaction among these factors.

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Section: Introductionmentioning

confidence: 99%

Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review

Woldemariam,

Jimma

2023

BMJ Health Care Inform

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“…A sample size of 315 was estimated with an assumption of a 95% confidence interval, a 5% significance level, and a standard normal deviation of 1.96. The proportion of EMR utilization was set at 26.6% ( 2 ). A total of 308 health managers were eventually included in the data collection process.…”

Section: Methodsmentioning

confidence: 99%

“…They improve the accessibility of health records as well as the quality and accuracy of patient information. Given these benefits, institutions have widely adopted EMR systems in healthcare globally ( 2 ).…”

Section: Introductionmentioning

confidence: 99%

“…Expansion of the system to all government-owned facilities is a priority ( 14 ). Owing to the limited resources, most electronic systems are still being used side by side with paper documentation, which is creating a burden on the healthcare workers ( 2 , 17 ).…”

Section: Introductionmentioning

confidence: 99%

“…The PRISM framework was adapted because it has been used by other scholars to study EMR system data use in Ethiopia ( 2 ) and Malawi ( 1 ).…”

Section: Introductionmentioning

confidence: 99%

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Electronic medical record systems data use in decision-making and associated factors among health managers at public primary health facilities, Dodoma region: a cross-sectional analytical study

Kessy,

Kibusi,

Ntwenya

2024

Front. Digit. Health

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BackgroundTanzania has shown some improvements in the adoption of electronic medical record (EMR) systems in public health facilities; however, the rate of utilization of data generated from EMRs among health managers is not well documented. This study aims to assess the use of electronic medical record systems data in decision-making among health managers at public primary health facilities in Dodoma Region, Central Tanzania.MethodsA facility-based quantitative cross-sectional analytical study was conducted among 308 randomly selected health managers. A self-administered questionnaire supplemented with documentary review was used. Descriptive summary statistics and bivariable and multivariable logistic regression analyses (crude and adjusted odds ratios) were used. A P-value of <0.05 was used to declare statistically significant associations.ResultsOverall, more than a third (40.6%) of the health managers, that is 174 of the 308 included in the study, reported using data generated by EMR systems in decision-making. One-third (33.4%) of the health managers were adequately using data generated by EMR systems, of which 39.3% used data to support continuous quality improvement initiatives. Among the facilities visited, only nine (30%) had good documented EMR systems data use. Access to computers [adjusted odds ratio (AOR) = 4.72, 95% confidence interval (CI): 1.65, 13.48, p-value (p) = 0.004] and discussions on EMRs during meetings (AOR = 2.77, 95% CI: 1.01, 7.58, p = 0.047) were independent predictors of EMR system data use. Those who reported having EMR systems in all working areas were seven times more likely to use EMR system data (AOR = 7.23, 95% CI: 3.15, 16.59, p = 0.001). The respondents with good perceived EMR system information quality were more likely to use EMR system data (AOR = 2.84, 95% CI: 1.50, 5.39, p = 0.001) than those with poor perception. Furthermore, health managers who had excellent knowledge of computers and data use had higher odds of using EMR system data (AOR = 1.84, 95% CI: 3.38, 10.13, p = 0.001) compared with their counterparts.ConclusionsThe findings of this study indicate that utilization of EMR system data in decision-making among health managers was optimal. It was found that training in itself is insufficient to improve use of EMR, which points to more organizational aspects of work routine as a challenge. Hence, a comprehensive approach that addresses these factors is essential for maximizing EMR system data use in decision-making.

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Assessment of data quality and associated factors in the routine health information system among health workers in public health institutions of Gofa Zone, Southern Ethiopia: A mixed methods study

Doka,

Worku,

Negeri

et al. 2024

DIGITAL HEALTH

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Background Generating high-quality data at health facilities is fundamental for effective decision making, which helps to strengthen health system performance and promote better health outcomes. Previous studies have revealed inconsistent findings and design-related drawbacks regarding the quality of routine health data. This study, therefore, aimed to assess the level of data quality and associated factors in the routine health information system among health workers in public health institutions of Gofa zone, Southern Ethiopia. Methods An institution-based quantitative cross-sectional study was mixed with a phenomenological qualitative study. Data collection was executed from April 1 to 30, 2023. Samples of 304 health workers were randomly selected. A total of six in-depth interviews and three focus group discussions were also done. Multilevel linear regression and thematic analysis were applied. Results The perceived level of good data quality was 59.5% (95% CI = 53.8, 65.1). The report timeliness, data accuracy, and the data completeness were 53.3%, 89.4%, and 93.5%, respectively. Factors that were significantly associated with data quality include culture of information utilization (β = 0.23, 95% CI = 0.20, 0.40), perceived skill of data management (β = 0.10, 95% CI = 0.03, 0.18), and electric power access (β = 0.11, 95% CI = 0.01, 0.21). The data quality was decreased in health posts by −0.20 (95% CI = −0.371, −0.030). Conclusion The overall quality of routine data among health workers was lower. Improving the skills of data management, cultivating a habit of data use, and enhancing the capacity of health workers are the potential interventions for ensuring data quality in health institutions.

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Electronic medical record use and associated factors among healthcare professionals at public health facilities in Dire Dawa, eastern Ethiopia: A mixed-method study

Cited by 6 publications

References 35 publications

Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review

Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review

Electronic medical record systems data use in decision-making and associated factors among health managers at public primary health facilities, Dodoma region: a cross-sectional analytical study

Assessment of data quality and associated factors in the routine health information system among health workers in public health institutions of Gofa Zone, Southern Ethiopia: A mixed methods study

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