Factors contributing to physicians’ use and satisfaction with Electronic Health Records in Kuwait

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Alotaibi ◽  
E Tolma ◽  
W Alali ◽  
D Alhuwail ◽  
S Aljunid
Keyword(s):  
Electronic Health Records ◽  
Technology Acceptance ◽  
Public Hospital ◽  
Descriptive Analysis ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Health Records ◽  
Key Factor ◽  
Electronic Health ◽  
Acceptance Model

Abstract Introduction Electronic Health Records (EHR) help physicians make effective decisions in patient care. With limited research in this area in Kuwait, we sought to identify the factors that contribute to the current use and satisfaction of EHR in Kuwait. Methods This cross-sectional study took place in a public hospital in 2019. Three-hundred ten physicians were recruited through convenience sampling (response rate: 95%). The survey which was translated into Arabic, was self-administered and it contained 48 statements. The Technology Acceptance Model was used as the theoretical framework. The dependent variables were satisfaction with EHR and current use of EHR. The main independent variables were barriers of using the EHR, perceived level of ease for using EHR, and effect of EHR on the physicians' work. Descriptive analysis, followed by bivariate, multivariate linear regression adjusted for demographics were conducted. Results The study sample consisted of predominantly males (82%), non-Kuwaiti (84%), and of young age (42% were 30-39 years old). The majority of the participants (76%) were currently using the EHR system. The physicians' satisfaction with use of EHR system was moderate (Mean: 3.47, SD: 0.81, range 1.33-5). The EHR effect on the physicians' work was the most significant predictor of satisfaction (β = 0.491, p = 0.000), followed by the level of ease (β = 0.274, p = 0.000), and length of use of EHR (β = 0.100, p = 0.006). Perceptions of barriers was the strongest predictor of current use of EHR (β=-0. 417, p = 0.000), followed by level of ease (β = 0.227, p = 0.000) and quality of a related training (β = 0.195, p = 0.000). Conclusions In the promotion of EHR use and related satisfaction, making the use of EHR functions (e.g. registration of clinical notes) as easy as possible seems to be a key factor. Other factors to consider are removing the barriers physicians face, making the benefits of use of EHR visible, and ensuring a high quality related training. Key messages Most physicians in a Kuwaiti public hospital use the EHR system. Perceived barriers, effect of EHR on the physicians’ work, and user-friendly application of EHR are associated with satisfaction and EHR use.

Factors contributing to physicians’ current use and satisfaction of electronic health records (EHRs) in Kuwait’s public health care: A cross- sectional study. (Preprint)

2022 ◽  
Author(s):  
Jawaher Alotaibi ◽  
Eleni Tolma ◽  
Walid Alali ◽  
Dari Alhuwail ◽  
Syed Al -Junid
Keyword(s):  
Health Care ◽  
Technology Acceptance ◽  
Descriptive Analysis ◽  
Cross Sectional Study ◽  
Public Health Care ◽  
Information Communication ◽  
Cross Sectional ◽  
Training Quality ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND The Electronic Health Record (EHR) is the backbone of the integration of information to help physicians in making effective decisions in patient care. The adoption of E-health care system, Health Information Communication Technologies (HICT) and EHR is raising in Kuwait OBJECTIVE This study aims to (i) identify the factors associated with physician’s current use, satisfaction, and prevalence with EHRs (ii) assess the factors’ relative importance in terms of predicting current use, satisfaction and prevalence with EHRs. METHODS This study took place at a public hospital in 2019. Using an anonymous self-administered paper-based survey, two hundred and ninety-five physicians were recruited. The survey contained 35 statements and the Technology Acceptance Model was used as the theoretical framework to guide the survey development. The dependent variables were “Physicians' current use of EHR" and “Physicians’ Satisfaction with EHR.” The independent variables were the demographics factors, Length of use of EHR, training quality, perceptions of barriers toward using EHR, the EHR effect on physicians’ Work, and level of ease of EHR function. Descriptive analysis, followed by bivariate, and multivariate linear regression adjusted for demographics were conducted. RESULTS Among the 295 research participants, 75% indicated that they are currently using the EHR system. The effect that the EHR use had on physician’s work was the most significant predictor of physician’s satisfaction using EHR (β=.377, p=0.000), followed by the level of ease of EHR function and (β=.341, p=.00) and barriers to using EHR (β=.170, p=0.000). Regarding the prediction of the current use of EHR it was found that the perceptions of barriers to using EHR was the most significant predictor (β= .145, p=0.000) followed by the effect on physician’s work (β=.645, p=0.01) and length of EHR (β= .111, p=0.03). CONCLUSIONS In the promotion of EHR current use and related satisfaction, enhancing and promoting the positive effect of EHR use on the physicians’work while making the implementation of the EHR system as easy as possible by removing barriers seem to be key factors. CLINICALTRIAL Not applicable .

Electronic Health Records Implementation in Jordan: Perceptions of Healthcare Providers and Determinant Factors (Preprint)

2020 ◽  
Author(s):  
Tamadur Shudayfat ◽  
Çağdaş Akyürek ◽  
Noha Al-Shdayfat ◽  
Hatem Alsaqqa
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Providers ◽  
Health Record ◽  
Health Records ◽  
Context Factors ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Acceptance of Electronic Health Record systems is considered an essential factor for an effective implementation among the Healthcare providers. In an attempt to understand the healthcare providers’ perceptions on the Electronic Health Record systems implementation and evaluate the factors influencing healthcare providers’ acceptance of Electronic Health Records, the current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. OBJECTIVE The current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. METHODS A quantitative cross-sectional survey design was used, in which 319 healthcare providers from five public hospital participated in the present study. Data was collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. RESULTS Jordanian healthcare providers demonstrated positive perceptions of the usefulness and ease of use of Electronic Health Record systems, and subsequently, they accepted the technology. The results indicated that they had a significant effect on the perceived usefulness and perceived ease of use of Electronic Health Record, which in turn was related to positive attitudes towards Electronic Health Record systems as well as the intention to use them. CONCLUSIONS User attributes, organizational competency, management support and training and education are essential variables in predicting healthcare provider’s acceptance toward Electronic Health records. These findings should be considered by healthcare organizations administration to introduce effective system to other healthcare organizations.

scholarly journals Soft clustering using real-world data for the identification of multimorbidity patterns in an elderly population: cross-sectional study in a Mediterranean population

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e029594 ◽  
Author(s):  
Concepción Violán ◽  
Quintí Foguet-Boreu ◽  
Sergio Fernández-Bertolín ◽  
Marina Guisado-Clavero ◽  
Margarita Cabrera-Bean ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Electronic Health Records ◽  
Cross Sectional Study ◽  
Secondary Outcome ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Records ◽  
Soft Clustering ◽  
Fuzzy C Means ◽  
Electronic Health

ObjectivesThe aim of this study was to identify, with soft clustering methods, multimorbidity patterns in the electronic health records of a population ≥65 years, and to analyse such patterns in accordance with the different prevalence cut-off points applied. Fuzzy cluster analysis allows individuals to be linked simultaneously to multiple clusters and is more consistent with clinical experience than other approaches frequently found in the literature.DesignA cross-sectional study was conducted based on data from electronic health records.Setting284 primary healthcare centres in Catalonia, Spain (2012).Participants916 619 eligible individuals were included (women: 57.7%).Primary and secondary outcome measuresWe extracted data on demographics, International Classification of Diseases version 10 chronic diagnoses, prescribed drugs and socioeconomic status for patients aged ≥65. Following principal component analysis of categorical and continuous variables for dimensionality reduction, machine learning techniques were applied for the identification of disease clusters in a fuzzy c-means analysis. Sensitivity analyses, with different prevalence cut-off points for chronic diseases, were also conducted. Solutions were evaluated from clinical consistency and significance criteria.ResultsMultimorbidity was present in 93.1%. Eight clusters were identified with a varying number of disease values: nervous and digestive; respiratory, circulatory and nervous; circulatory and digestive; mental, nervous and digestive, female dominant; mental, digestive and blood, female oldest-old dominant; nervous, musculoskeletal and circulatory, female dominant; genitourinary, mental and musculoskeletal, male dominant; and non-specified, youngest-old dominant. Nuclear diseases were identified for each cluster independently of the prevalence cut-off point considered.ConclusionsMultimorbidity patterns were obtained using fuzzy c-means cluster analysis. They are clinically meaningful clusters which support the development of tailored approaches to multimorbidity management and further research.

scholarly journals Primary Care Medication Safety Surveillance with Integrated Primary and Secondary Care Electronic Health Records: A Cross-Sectional Study

Drug Safety ◽  
2015 ◽  
Vol 38 (7) ◽  
pp. 671-682 ◽  
Author(s):  
Artur Akbarov ◽  
Evangelos Kontopantelis ◽  
Matthew Sperrin ◽  
Susan J. Stocks ◽  
Richard Williams ◽  
...  
Keyword(s):  
Primary Care ◽  
Electronic Health Records ◽  
Secondary Care ◽  
Medication Safety ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Records ◽  
Safety Surveillance ◽  
Electronic Health

scholarly journals Health of Spanish centenarians: a cross-sectional study based on electronic health records

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Antonio Gimeno-Miguel ◽  
Mercedes Clerencia-Sierra ◽  
Ignatios Ioakeim ◽  
Beatriz Poblador-Plou ◽  
Mercedes Aza-Pascual-Salcedo ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Health Records ◽  
Electronic Health

scholarly journals Factors Determining the Intention to Use Electronic Health Records: An Extension of the Technology Acceptance Model

2020 ◽  
pp. 119-133
Author(s):  
Oladotun O. Okediran ◽  
Wajeed B. Wahab ◽  
Mayowa O. Oyediran
Keyword(s):  
Electronic Health Records ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Professionals ◽  
Equation Modeling ◽  
Intention To Use ◽  
System Quality ◽  
Health Records ◽  
Electronic Health ◽  
Acceptance Model

This paper details an empirical investigation of the factors that determine the intention of adopting and using electronic health records (EHR). The paper’s goal is a study aimed at examining the possibilities and intents towards EHR amongst healthcare professionals in Nigeria. In this study, an extended Technology Acceptance Model (TAM) that incorporates Subjective norm, Social influence, Result demonstrability, Computer self-efficacy and System quality to the original TAM constructs was proposed. The proposed model was empirically tested using data collected from a sample of 126 healthcare professionals across 14 healthcare delivery institutions in Oyo State, Southwestern, Nigeria by applying structural equation modeling (SEM). These data were collected by administering a questionnaire containing 30 items. The results of the evaluation showed that all constructs have significant effect on healthcare professionals’ behavioural intention to use EHR.

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