Abstract
References
- 1. Sullivan C, Staib A, Ayre S, et al. Pioneering digital disruption: australia's first integrated digital tertiary hospital. Medical Journal Of Australia. 2016;205(9):386-389. DOI: 10.5694/mja16.00476.
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- 4. Farzandipur M, Azimi E. Factors affecting successful implementation of hospital information systems. Acta Informatica Medica. 2016;24(1),51. DOI: 10.5455/aim.2016;(24):51-55.
- 5. Fatameh M, Abbas, A. Classification of architectural styles based on the dimensions of the ıntegration of hospital ınformation systems. Journal Of Health And Bıomedıcal Informatıcs. 2022;8(4),347-358.
- 6. Işık O, Akbolat M. Hastanelerde bilgi sistemi ve bilgi teknolojileri kullanımı: tıbbi sekreterler üzerine bir araştırma. Ankara Sağlık Hizmetleri Dergisi. 2010;9(1):1-23.
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- 13. Zhai X, Wang X, Han A, et al. Identification and simulation of key influencing factors of online health information service quality from the perspective of information ecology. Library & Information Science Research. 2023;45(1):101218. DOI:10.1016/j.lisr.2022.101218
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- 23. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in varience-based structural equation modelling. Journal Of The Academy Of Marketing Science. 2015;843):115-135. DOI: 10.1007/S11747-014-0403-8.
- 24. Hair JF, Hult GTM, Ringle CM, et al. Primer On Partial Least Square Structural Equations Modeling (Pls-Sem), (2nd Ed.), Sage: Thousand Oaks, 2017.
- 25. Fraenkel JR, Wallen NE, Hyun HH. How to design and evaluate research in education. New York: Mcgraw-Hill, 2012.
- 26. Develi A, Pekkan NÜ, Çavuş MF. Social intelligence at work and its implication for organizational identification: A sectoral comparison. Independent Journal of Management & Production. 2022;13(1),364-383. DOI: 10.14807/ijmp.v13i1.1555
Abstract
Purpose: This study aims to translate and validate the Hospital Information System Scale developed by Kuo, Liu, Talley, and Pan (2018) into Turkish within the hospital information system quality and satisfaction framework.
Metarial and Method: The study data were completed between 15 September - and 15 October 2023 through a survey link shared online with consenting and volunteering participants via an online survey. The study was conducted with healthcare professionals, and the online forms were filled out in Turkish. Hospital information system quality is measured by three dimensions: system, information and service quality, while satisfaction is measured by a single dimension. The research sample consists of data collected from 299 healthcare professionals by survey. The construct and relationship validity of the scale were tested by taking into account the variance structure and covariance relationships. The reliability of the scales was assessed through internal consistency tests.
Results: The scale's system, service, and information quality dimensions were observed to have significant relationships in the same direction as the satisfaction scale. According to all analyses, the scale was valid and reliable.
Conclusion: It is expected that this scale will be guiding and supportive in future studies on this subject to add patient satisfaction in health institutions that are aware of the importance of hospital information systems developed within the scope of the research.
Keywords
Hospital İnformation System Information Quality Satisfaction Scale Validation System Quality Service Quality
Thanks
I am pleased to submit a research article for your consideration to publish in the Acıbadem Sağlık Bilimleri Dergisi. The name of our study is “VALIDATION OF HOSPITAL INFORMATION SYSTEM QUALITY SCALE INTO TURKISH.” The author team is introduced below. Thank you so much for your interest.
References
- 1. Sullivan C, Staib A, Ayre S, et al. Pioneering digital disruption: australia's first integrated digital tertiary hospital. Medical Journal Of Australia. 2016;205(9):386-389. DOI: 10.5694/mja16.00476.
- 2. Grimes S.L. Ihe: Key to the future of the digital hospital. Journal Of Clinical Engineering. 2004;29(4):170-171.
- 3. Ak B. Sağlıkta yeni hedef: Dijital hastaneler. 2013; Antalya: XV. Akademik Bilişim Konferansı Bildirileri.
- 4. Farzandipur M, Azimi E. Factors affecting successful implementation of hospital information systems. Acta Informatica Medica. 2016;24(1),51. DOI: 10.5455/aim.2016;(24):51-55.
- 5. Fatameh M, Abbas, A. Classification of architectural styles based on the dimensions of the ıntegration of hospital ınformation systems. Journal Of Health And Bıomedıcal Informatıcs. 2022;8(4),347-358.
- 6. Işık O, Akbolat M. Hastanelerde bilgi sistemi ve bilgi teknolojileri kullanımı: tıbbi sekreterler üzerine bir araştırma. Ankara Sağlık Hizmetleri Dergisi. 2010;9(1):1-23.
- 7. Hayaineh YA, Hayajneh WA, Matalka II, et al. Extent of use, perceptions, and knowledge of a hospital information system by staff physicians. Evaluatio. 2006;(3):1- 4.
- 8. Aghazadeh S, Aliyev A, Pirnejad H. Study the effect of hospital information systems (hıs) on communication improvement and service quality among nursing staff. Life Science Journal. 2013;(10):307-310.
- 9. Shim M, Jo HS. What quality factors matter in enhancing the perceived benefits of online health information sites? application of the updated delone and mclean ınformation systems success model. International Journal Of Medical Informatics. 2020;(137):104093. DOI: 10.1016/j.ijmedinf.2020.104093.
- 10. Dizman H. Hastane yönetim bilgi sistemlerini kullanan sağlık kurumlarında hasta memnuniyetini etkileyen faktörlerin sem (pls) yöntemi ile değerlendirilmesi Kütahya örneği. Uşak Üniversitesi Sosyal Bilimler Dergisi, 11(C-Iasos Özel Sayısı). 2018;36-51. DOI: http://dx.doi.org/uujss.520.
- 11. Kuo KM, Liu CF, Talley PC, et al. Strategic improvement for quality and satisfaction of hospital information systems. Journal Of Healthcare Engineering. (2018). DOI: 10.1155/2018/3689618.
- 12. Sari N, Ervianingsih E, Zahran I. Pengaruh kualitas sistem, kualitas ınformasi dan kualitas layanan terhadap kepuasan pengguna sistem ınformasi manajemen rs “x” kota palopo: the ınfluence of system quality, ınformation quality and service quality on user satisfaction of the management ınformation system rs “X” palopo city. Jurnal Surya Medika (Jsm). 2023;9(2): 219-224. DOI:10.33084/jsm.v9i2.5698.
- 13. Zhai X, Wang X, Han A, et al. Identification and simulation of key influencing factors of online health information service quality from the perspective of information ecology. Library & Information Science Research. 2023;45(1):101218. DOI:10.1016/j.lisr.2022.101218
- 14. Najem FM. The ımpact of hospital information system quality on the health care quality (A case study on european gaza hospital). (Unpublished doctoral thesis):Research And Postgraduate Affairs, Faculty Of Commerce, Islamic University–Gaza;2016.
- 15. Comrey AL, Lee HB. A first course in factor analysis, New York, Psychology Press; 2013.
- 16. Kline RB. Principles and practice of structural equation modelling. London, The Guilford Press; 2011.
- 17. Tavşancıl E. Tutumların ölçülmesi ve Spss ile veri analizi. Ankara, Nobel Yayın Dağıtım; 2002.
- 18. Tabachnick BG, Fidell LS. Using Multivariate Statistics (5th Ed.). Boston, Ma: Allyn & Bacon/Pearson Education; 2007.
- 19. Develi A, Çavuş MF. Validity and reliability of Work Ability Index in Turkish context: Inter-level, direct, and indirect relations with job satisfaction and task performance. Experimental Aging Research. Advance online publication. 2023:1-20. DOI: 10.1080/0361073X.2023.2250226
- 20. Sarstedt M, Hair JF, Ringle CM, et al. Estimation ıssues with pls and cbsem: where the bias lies! Journal of Business Research. 2016;69(10):3998-4010. DOI: 10.1016/j.jbusres.2016.06.007.
- 21. Field A. Discovering statistics using SPSS: And sex and drugs and rock ‘N’ roll. Sage Publications, 2009.
- 22. Fornell C, Larcker DF. Evaluating Structural Equation Models With Unobservable Variables And Measurement Error. Journal Of Marketing Research. 1981;18(1): 39-50. DOI: 10.2307/3151312.
- 23. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in varience-based structural equation modelling. Journal Of The Academy Of Marketing Science. 2015;843):115-135. DOI: 10.1007/S11747-014-0403-8.
- 24. Hair JF, Hult GTM, Ringle CM, et al. Primer On Partial Least Square Structural Equations Modeling (Pls-Sem), (2nd Ed.), Sage: Thousand Oaks, 2017.
- 25. Fraenkel JR, Wallen NE, Hyun HH. How to design and evaluate research in education. New York: Mcgraw-Hill, 2012.
- 26. Develi A, Pekkan NÜ, Çavuş MF. Social intelligence at work and its implication for organizational identification: A sectoral comparison. Independent Journal of Management & Production. 2022;13(1),364-383. DOI: 10.14807/ijmp.v13i1.1555
Details
| Primary Language | English |
|---|---|
| Subjects | Health Care Administration, Health Services and Systems (Other) |
| Journal Section | Research Articles |
| Authors | |
| Early Pub Date | September 17, 2024 |
| Publication Date | October 1, 2024 |
| Submission Date | February 20, 2024 |
| Acceptance Date | August 21, 2024 |
| Published in Issue | Year 2024 |