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Assessing the Utility of Electronic Health Records in district hospitals in Morogoro Region, Tanzania
Other Title
Assessing the Utility of Electronic Health Records in district hospitals in Morogoro Region, Tanzania
Type
thesis
Date Issued
2024-05-29
Author(s)
ANGELBETTER MARSELIAN MASSAO
Advisor
Subjects
系所名稱：醫務管理學系碩士班
Publisher
醫務管理學系碩士班
Description
學位別：碩士
關鍵字：Electronic Health records; district hospitals; utility; healthcare professionals
論文公開日期：2024-05-29
關鍵字：Electronic Health records; district hospitals; utility; healthcare professionals
論文公開日期：2024-05-29
Abstract
Introduction: The adoption of Electronic Health Records (EHRs) is critical in enhancing healthcare delivery, yet its implementation and efficacy in developing regions require further the adoption of Electronic Health Records (EHRs) is critical for improving healthcare delivery, and further research is needed to assess their implementation and effectiveness in developing regions
Objective: We aim to assess the impact of system quality, information quality, and service quality on user satisfaction and intention to use EHR systems, and how these factors collectively contribute to the net benefits among healthcare providers.
Methods: A structured questionnaire was administered to healthcare professionals across 11 hospitals in the Morogoro Region, targeting 202participants. EHRs users’ perceptions were measured using a 5-point Likert scale. Data were analyzed using SPSS 19, employing descriptive statistics, one-way ANOVA, Pearson’s correlation, multiple regression analyses, and Partial least Square (PLS) to estimation of complex cause-effect relationships in path models with variables
Results: Service quality significantly affects user satisfaction (t = 5.221, p = 0.000), as does information quality (t = 3.953, p = 0.000). System quality also influences user satisfaction (t = 2.299, p = 0.022), though less strongly. However, system quality (t = 0.756, p = 0.450), information quality (t = 0.184, p = 0.854), and service quality (t = 0.093, p = 0.926) do not significantly affect intention to use. User satisfaction significantly impacted net benefit (t = 7.851, p = 0.000) and intention to use (t = 4.616, p = 0.000). Additionally, intention to use does not significantly impact net benefit (t = 1.378, p = 0.168).
Conclusion: The study underscores the importance of system quality, information quality, and service quality in enhancing user satisfaction and perceived net benefits of EHR systems. Private institutions and higher educational qualifications are associated with more favorable perceptions of EHR systems.
Objective: We aim to assess the impact of system quality, information quality, and service quality on user satisfaction and intention to use EHR systems, and how these factors collectively contribute to the net benefits among healthcare providers.
Methods: A structured questionnaire was administered to healthcare professionals across 11 hospitals in the Morogoro Region, targeting 202participants. EHRs users’ perceptions were measured using a 5-point Likert scale. Data were analyzed using SPSS 19, employing descriptive statistics, one-way ANOVA, Pearson’s correlation, multiple regression analyses, and Partial least Square (PLS) to estimation of complex cause-effect relationships in path models with variables
Results: Service quality significantly affects user satisfaction (t = 5.221, p = 0.000), as does information quality (t = 3.953, p = 0.000). System quality also influences user satisfaction (t = 2.299, p = 0.022), though less strongly. However, system quality (t = 0.756, p = 0.450), information quality (t = 0.184, p = 0.854), and service quality (t = 0.093, p = 0.926) do not significantly affect intention to use. User satisfaction significantly impacted net benefit (t = 7.851, p = 0.000) and intention to use (t = 4.616, p = 0.000). Additionally, intention to use does not significantly impact net benefit (t = 1.378, p = 0.168).
Conclusion: The study underscores the importance of system quality, information quality, and service quality in enhancing user satisfaction and perceived net benefits of EHR systems. Private institutions and higher educational qualifications are associated with more favorable perceptions of EHR systems.