Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model.

BACKGROUND: The implementation of Electronic Health Record (EHR) systems is a critical challenge, particularly in low-income countries, where behavioral intention plays a crucial role. To address this issue, we conducted a study to extend and apply the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) model in predicting health professionals' behavioral intention to use EHR systems. METHODS: A quantitative research approach was employed among 423 health professionals in Southwest Ethiopia. We assessed the validity of the proposed model through measurement and structural model statistics. Analysis was done using SPSS AMOS version 23. Hypotheses were tested using structural equation modeling (SEM) analysis, and mediation and moderation effects were evaluated. The associations between exogenous and endogenous variables were examined using standardized regression coefficients (ß), 95% confidence intervals, and p-values, with a significance level of p-value < 0.05. RESULTS: The proposed model outperformed previous UTAUT models, explaining 84.5% (squared multiple correlations (R2) = 0.845) of the variance in behavioral intention to use EHR systems. Personal innovativeness (ß = 0.215, p-value < 0.018), performance expectancy (ß = 0.245, p-value < 0.001), and attitude (ß = 0.611, p-value < 0.001) showed significant associations to use EHR systems. Mediation analysis revealed that performance expectancy, hedonic motivation, and technology anxiety had significant indirect effects on behavioral intention. Furthermore, moderation analysis indicated that gender moderated the association between social influence, personal innovativeness, and behavioral intention. CONCLUSION: The extended UTAUT3 model accurately predicts health professionals' intention to use EHR systems and provides a valuable framework for understanding technology acceptance in healthcare. We recommend that digital health implementers and concerned bodies consider the comprehensive range of direct, indirect, and moderating effects. By addressing personal innovativeness, performance expectancy, attitude, hedonic motivation, technology anxiety, and the gender-specific impact of social influence, interventions can effectively enhance behavioral intention toward EHR systems. It is crucial to design gender-specific interventions that address the differences in social influence and personal innovativeness between males and females.

Medical documentation practice and associated factors among health workers at private hospitals in the Amhara region, Ethiopia 2021.

INTRODUCTION: Medical documentation is an important part of the medical process as it is an essential way of communication within the health care system. However, medical documentation practice in the private sector is not well studied in Ethiopian context. The aim of this study was to assess the practice of medical documentation and its associated factors among health workers at private hospitals in the Amhara region, Ethiopia. METHOD: An institution-based cross-sectional quantitative study supplemented with a qualitative design was conducted among 419 health workers at the private hospitals in the Amhara Region, Ethiopia from March 29 to April 29 /2021. Data were collected using both a self-administered questionnaire and interview guide for quantitative and qualitative respectively. Data were entered using Epi data version 3.1 and analyzed using SPSS version 20. Descriptive statistics, Bi-variable, and multivariable logistic regression analysis were performed. In-depth interviews were conducted using semi-structured questionnaires with eight respondents to explore the challenges related to the practice of medical documentation. Respondent's response were analyzed using OpenCode version 4.03 thematically. RESULTS: Four hundred seven study participants returned the questionnaire. Nearly 50 % (47.2%) health workers had of good medical documentation practice. Health workers who received in-service training on medical documentation AOR = 2.77(95% CI: [1.49,5.14]), good knowledge AOR = 2.28 (95% CI: [1.34,3.89]), favorable attitude AOR = 1.78 (95%CI: [1.06,2.97]), strong motivation AOR = 3.49 (95% CI: [2.10,5.80]), available guide line formats AOR = 3.12 (95% CI: [1.41,6.84]), eHealth literacy AOR = 1.73(95% CI: [1.02,2.96]), younger age AOR = 2.64 (95% CI:[1.27,5.46]) were statistically associated with medical documentation. CONCLUSION: More than half of the medical services provided were not registered. Therefore, it is important to put extra efforts to improve documentation practice by providing planed trainings on standards of documentation to all health workers, creating positive attitudes and enhancing their knowledge by motivating them to develop a culture of information.

Digital health literacy and associated factors among health professionals during the outbreak of corona virus pandemic in Ethiopia: A systematic review and meta-analysis.

Introduction: The COVID-19 pandemic had a significant impact on healthcare delivery worldwide. Digital tools emerged as a preferred solution for maintaining healthcare services during this crisis. This study aimed to assess the magnitude of digital health literacy among healthcare professionals in Ethiopia in 2020-2023. Methods: A systematic review and meta-analysis were conducted following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Articles published from 2020 to 2023 were reviewed using various electronic databases such as Medline, PubMed, and Cochrane Library, CINAHL, HINARI, Science Direct, Google Scholar, and Global Health. Meta-analysis was performed using STATA 17, and publication bias and heterogeneity were assessed. Results: Six studies involving a total of 2739 participants were included in the analysis. The pooled level of high digital health literacy among health professionals in Ethiopia during the pandemic was found to be 56.0% (95% CI: 55, 58). Several factors were identified as significant contributors to high digital health literacy, including internet use (AOR = 2.72, 95% CI: 1.86, 3.98), perceived ease of use (AOR = 2.79, 95% CI: 1.83, 4.25), favorable attitude (AOR = 2.49, 95% CI: 1.61, 3.85), perceived usefulness (AOR = 2.29, 95% CI: 1.65, 3.18), information-communication-technology training (AOR = 6.09, 95% CI: 1.83, 24.27), and educational level (AOR = 3.60, 95% CI: 2.96, 4.37). Conclusion and recommendation: The study findings revealed a moderate level of high digital health literacy among Ethiopian health professionals. Factors such as internet use, favorable attitude, and information-communication-technology training were associated with high-level digital health literacy. To enhance digital health literacy, it is crucial to provide timely training and improve internet access for healthcare professionals. Additionally, promoting the perception of digital tools as useful and supporting evidence-based decision-making can further improve digital health literacy. Comprehensive information-communication-technology training programs should be implemented to equip healthcare professionals with necessary skills to effectively combat outbreaks like the COVID-19 pandemic.

Insured-non-insured disparity of catastrophic health expenditure in Northwest Ethiopia: a multivariate decomposition analysis.

BACKGROUND: Financial risk protection is one indicator of universal health coverage (UHC). All people should be protected from financial risks such as catastrophic health expenditures (CHE) to ensure equitable health services. Ethiopia has launched community-based health insurance (CBHI) since 2011 to protect people from financial risk. However, out-of-pocket health expenditure is a financial barriers to achieve UHC. The insured-non-insured disparity of CHE has not been well studied in Ethiopia in general and in Debre Tabor town in particular. Therefore, this study aimed to assess the disparity of CHE between insured and non-insured households and its contributing factors in Debre Tabor town. METHODS: This study used the primary household survey data collected from May to June 2022 in Debre Tabor town. Data were collected from 825 household heads and analyzed using STATA version 17.0 statistical software. Logit-based multivariate decomposition analysis was conducted to determine insured-non-insured disparity of CHE. Statistical significance for all analysis was declared at a p < 0.05. RESULTS: The incidence of CHE was 17.94% and 5.58% among non-insured and insured households, respectively. About 53% and 153.20% of the insured-non-insured disparities in the magnitude of CHE were due to the difference in characteristics (endowments) and the effect of characteristics (coefficients), respectively. Age of the household head between 46 and 60 years and above 60 years, divorced and widowed marital status of household head, and chronic health conditions were the explanatory variables widening the gap in the incidence of CHE. However, do not seeking traditional medicine, family size above 4, and age of household head between 31 and 45 years were the variables contribute in reducing the gap (i.e. due to endowments) in the incidence of CHE between insured and non-insured households. Moreover, the variables that contributed to the gap in the incidence of CHE due to covariate effects were age (31-45) and marital status of household head, wealth status, family size, ownership of the household, and seeking traditional medicines. CONCLUSION: This study revealed there is a significant disparity in the incidence of CHE between insured and non-insured households. Age, marital status and occupation of the household head, family size of household, presence of a chronically ill household member and seeking traditional medicine were significantly contributing factors for the disparity of CHE between insured and non-insured households due to endowments. The variables that contributed to the disparity in the incidence of CHE due to covariate effects were age and marital status of household head, wealth status, family size, ownership of the household, and seeking traditional medicines. Therefore, the policy makers need to emphasize in increasing the insurance coverage among households, and providing affordable health services in Ethiopia in general and Debre Tabor town in particular.

Application of Health Belief Model to Assess Predictors of Weight Management Behaviour Intention Among Civil Servants in Ethiopia: A Mixed Method Study.

Introduction: This study aims to use the health belief model to identify predictors of weight management behaviour among civil servants in Ethiopia. Predictors include perceived susceptibility, severity, benefits, barriers, cues to action, and self-efficacy. The study will provide insight into potential factors that civil servants perceive as significant in weight management. Methods: A sequential explanatory study was conducted from November 15, 2022, to January 20, 2020 among civil servants working in Dessie town, with 423 participants selected through simple random and purposive sampling techniques for the quantitative and qualitative studies, respectively. Self-administered questionnaires were used for the quantitative study, while in-depth interviews were conducted for the qualitative study. Data was verified, entered into Epi Data, and analysed using Stata for multivariable linear regression. ATLAS.ti software version 7 facilitated the qualitative data analysis process. Findings with a p-value <0.05 at a 95% confidence interval were considered statistically significant in the final model. Results: This study found that several factors were significantly associated with higher behavioural intention for weight management. Females had higher intention than males, and individuals with higher educational levels demonstrated higher intention. Marital status was also a factor, with being divorced associated with lower intention. The absence of an obese family member and lack of prior weight loss experience were also linked to lower intention. Perceived susceptibility and perceived benefits positively influenced intention, while higher perceived barriers were linked to lower intention. Conclusion: The study found that a stronger inclination towards weight management was linked to being female, having higher education, no obese family member, prior weight loss experience and positive attitudes. Interventions should target those less likely to exhibit these characteristics and address negative attitudes towards weight management.

Acceptance of electronic medical records and associated factor among physicians working in University of Gondar comprehensive specialized hospital: A cross-sectional study.

Objective: Electronic Medical Records (EMRs) are digitalized medical record systems that collect, store, and display patient data. It is individual patient clinical information electronically gathered and made instantly available to all physicians in the healthcare chain, assisting in the delivery of coherent and consistent care. However, the acceptance of the electronic medical record status of physicians in Ethiopia is limitedly known due to knowledge, attitude, and computer skill gaps. This study aims to assess the acceptance of electronic medical records and associated factors among physicians working in Ethiopia. Methods: A cross-sectional study was conducted among physicians working in Gondar Comprehensive Specialized Hospital. A total of 205 physicians were included. Data were collected through a self-administered structured questionnaire. Descriptive and Logistic regression were conducted. Result: A one hundred ninety-eight participants returned the questionnaire from the total yielding a response rate of 96.6%. The proportion of those who have good acceptance for EMR was 72.2% and about 48.5%, 78.3%, and 59.6%, were sufficient computer skills, Good knowledge, and a favorable attitude toward EMR respectively. Age ≤ 30 years (AOR = 0.13 (0.02, 0.57), working experience AOR = 0.15 (0.04, 0.54), working department AOR = 0.09 (0.01, 0.90), good computer skills AOR = 8.42 (6.45, 16.02), Good knowledge AOR = 5.21 (1.22, 12.28), and favorable attitude AOR = 15.24 (12.06, 25.94) were significantly associated towards EMR acceptance. Conclusion: Generally, in this study, physicians' acceptance of electronic medical records was good. Age, year of experience, working department, good computer skills, good knowledge, and favorable attitude were significantly associated with physicians' acceptance of the electronic medical record. Improving computer skills, enhancing positive attitudes, and increasing the knowledge of the health care professionals are vital interventions to enhance and improve the acceptance of EMR system in the study area.

A multivariate decomposition analysis of modern contraceptive utilization among married women in the emerging region of Ethiopia (2000-2019).

Ensuring universal access to family planning services is a proven strategy to improve reproductive health as well as economic development. Assessing the trend and identifying the factors for the change in modern contraceptive utilization is crucial to design effective measures, but trend analysis was not conducted previously. Thus, this study aimed to assess the trend and determinants of modern contraceptive utilization change among married women in emerging regions of Ethiopia. This study used the 2000 Ethiopia Demographic and Health Survey and the 2019 Ethiopia Min Demographic and Health Survey datasets for analysis. A total of 2555 and 1916 married women in the 2000 and 2019 surveys were included in the analysis, respectively. The data were analyzed using Stata version 17.0. Logit-based decomposition analysis was executed to identify factors for modern contraceptive utilization change. Statistical significance was declared at a P value of less than 0.05. The trend of contraceptive utilization change increased from 6.26% in 2000 to 21.97% in 2019. About - 65.87% and 165.87% of the change in contraceptive utilization was due to changes in composition and behavior, respectively. The change in composition was due to the change in the composition of women according to religion, educational status, region, and the number of living children. The change in behaviors of not educated women, rural women, Muslim women, and those who resided in the afar region was the source of change in modern contraceptive utilization. Modern contraceptive utilization has increased in the last two decades. The change in modern contraceptive utilization is due to changes in population composition and behavior. Interventions targeting uneducated and rural women are vital to increasing contraceptive utilization. Strategic interventions are also required for the Somali regions of Ethiopia.

Utilisation of health management information and its determinant factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia: a cross-sectional study.

OBJECTIVE: The study aimed to assess health management information utilisation and associated factors among health professionals working at public health facilities in North Wollo Zone, Northeast Ethiopia. SETTING: The study was conducted at public health facilities in the North Wollo Zone, Northeast Ethiopia. PARTICIPANTS: A total of 664 (56.3% male and 43.7% female) health professionals participated in the study. All health professionals permanently working in North Wollo Zone were included in this study. However, health professionals who were not present during the data collection period by any means and who had less than 6 months of experience were not included in this study. PRIMARY AND SECONDARY OUTCOME MEASURES: The main outcome measure was health management information utilisation. RESULT: About 58.4% (n=388) (95% CI: 54.4% to 62.0%) of the study participants use health management information. The multivariable logistic regression model indicated that participants who had managerial positions are more likely to use health management information with an adjusted OR (AOR) of 3.11 and 95% CI 1.84 to 5.24. Similarly, having a good motivation level (AOR=4.42 (95% CI: 2.82 to 6.93)), perceived good culture of health information (AOR=6.17 (95% CI: 3.35 to 11.36)), a standard set of indicators (AOR=4.11 (95% CI: 2.65 to 6.38)), having good governance of health information system (AOR=1.75 (95% CI:1.13 to 2.72)) and health management information system (HMIS) training (AOR=3.10 (95% CI: 1.89 to 5.07)) were the predictors positively associated with higher utilisation of health management information. CONCLUSION: This study revealed that utilisation of health management information was still inadequate. Enhancing motivation, building a culture of information use, having standardised indicators, strengthening the governance of health information systems and comprehensive HMIS training were measures to be taken to improve utilisation of health management information in this study setting.

Determinants of change in unintended pregnancy in Ethiopia using the 2005 and 2016 EDHS: non-linear multivariable decomposition analysis.

BACKGROUND: Unintended pregnancy is a pregnancy either mistimed or unwanted. The main consequence of unintended pregnancy is inducing abortion. In Ethiopia, more than half of unintended pregnancies end up in abortion. OBJECTIVE: This study aims to measure the change in unintended pregnancy among women of reproductive age between survey years 2005 and 2016 and to identify the socio-demographic factors that most significantly contributed to the change. METHODS: Data from the two most recent Ethiopian Demographic and Health Surveys (EDHS) were analyzed. We quantified the contribution of socio-demographic factors in the change of unintended pregnancy, using Oaxaca-Blinder decomposition for non-linear regression models by applying the STATA command 'mvdcmp'. RESULT: Unintended pregnancy decreased from 37% in 2005 to 27% in 2016 in Ethiopia. Both changes in population characteristics and coefficient were the contributing elements to the observed change in unintended pregnancy. Among population characteristics factors, being a partial decision-maker and being a slum in the Somali region contributed 10 and 14% to the change of unintended pregnancy between the 2005 and 2016. Of the coefficient factors, knowledge of modern family planning, being a partial decision-maker, media exposure, distance to health facilities, and health facility visits contributed to the change by 93, 43, 17, and 10% respectively. CONCLUSION: The majority of the change in unintended pregnancy from 2005 to 2016 survey was due to differences in coefficients (85%). The principal contributing factors to the change of unintended pregnancy were FP knowledge, decision making, media exposure and health facility visits. Therefore, an interventional plan will be efficient, better, and more effective if focused on the larger contributing factors.