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Factors affecting the adoption of healthcare information technology.

Phichitchaisopa N, Naenna T - EXCLI J (2013)

Bottom Line: The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions.They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology.In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior.

View Article: PubMed Central - PubMed

Affiliation: Technology of Information System Management, Faculty of Engineering, Mahidol University, Nakhonpathom 73170, Thailand.

ABSTRACT
In order to improve the quality and performance of healthcare services, healthcare information technology is among the most important technology in healthcare supply chain management. This study sets out to apply and test the Unified Theory of Acceptance and Use of Technology (UTAUT), to examine the factors influencing healthcare Information Technology (IT) services. A structured questionnaire was developed and distributed to healthcare representatives in each province surveyed in Thailand. Data collected from 400 employees including physicians, nurses, and hospital staff members were tested the model using structural equation modeling technique. The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions. They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology. In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior. Based on research findings, in order for healthcare information technology to be widely adopted and used by healthcare staffs in healthcare supply chain management, the healthcare organizational management should improve healthcare staffs' behavioral intention and facilitating conditions.

No MeSH data available.


Overall model fit indices for measurement
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T5: Overall model fit indices for measurement

Mentions: For a good model fit, the Chi-square value was normalized by a degree of freedom (Χ2/d.f.) value of 1.11. Goodness-of-fit was 1.00. Adjusted goodness-of-fit (AGFI) was 0.96. Normalized fit index (NFI) was 1.00. Non-normalized fit index (NNFI) was 1.00. Comparative fit index (CFI) was 1.00. Root mean square residual (RMR) was 0.01. Standardized RMR was 0.012, and Root mean square error of approximation (RMSEA) was 0.02 (see Table 5(Tab. 5)).


Factors affecting the adoption of healthcare information technology.

Phichitchaisopa N, Naenna T - EXCLI J (2013)

Overall model fit indices for measurement
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4566918&req=5

T5: Overall model fit indices for measurement
Mentions: For a good model fit, the Chi-square value was normalized by a degree of freedom (Χ2/d.f.) value of 1.11. Goodness-of-fit was 1.00. Adjusted goodness-of-fit (AGFI) was 0.96. Normalized fit index (NFI) was 1.00. Non-normalized fit index (NNFI) was 1.00. Comparative fit index (CFI) was 1.00. Root mean square residual (RMR) was 0.01. Standardized RMR was 0.012, and Root mean square error of approximation (RMSEA) was 0.02 (see Table 5(Tab. 5)).

Bottom Line: The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions.They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology.In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior.

View Article: PubMed Central - PubMed

Affiliation: Technology of Information System Management, Faculty of Engineering, Mahidol University, Nakhonpathom 73170, Thailand.

ABSTRACT
In order to improve the quality and performance of healthcare services, healthcare information technology is among the most important technology in healthcare supply chain management. This study sets out to apply and test the Unified Theory of Acceptance and Use of Technology (UTAUT), to examine the factors influencing healthcare Information Technology (IT) services. A structured questionnaire was developed and distributed to healthcare representatives in each province surveyed in Thailand. Data collected from 400 employees including physicians, nurses, and hospital staff members were tested the model using structural equation modeling technique. The results found that the factors with a significant effect are performance expectancy, effort expectancy and facilitating conditions. They were also found to have a significant impact on behavioral intention to use the acceptance healthcare technology. In addition, in Thai provincial areas, positive significance was found with two factors: social influence on behavioral intention and facilitating conditions to direct using behavior. Based on research findings, in order for healthcare information technology to be widely adopted and used by healthcare staffs in healthcare supply chain management, the healthcare organizational management should improve healthcare staffs' behavioral intention and facilitating conditions.

No MeSH data available.