Examining heterogeneous patterns of electronic health records use: A contingency perspective and assessment

International Journal of Healthcare Information Systems and Informatics

Volumn 7, Issue 2, 2012, Pages 1-16

  Dobrzykowski, David D ^a  

^a EASTERN MICHIGAN UNIVERSITY   (United States)

Author keywords

Contingency theory; EHR adoption; Electronic Health Records (EHR); Empirical survey research; Healthcare information systems; Hospitals; Information technology adoption; Structural constraints

Indexed keywords

CONTINGENCY THEORY; EHR ADOPTION; ELECTRONIC HEALTH RECORD; EMPIRICAL SURVEYS; HEALTH CARE INFORMATION SYSTEM; INFORMATION TECHNOLOGY ADOPTION; STRUCTURAL CONSTRAINTS;

HEALTH CARE; INFORMATION TECHNOLOGY; RECORDS MANAGEMENT; SUPPLY CHAINS;

HOSPITALS;

EID: 84870270319     PISSN: 15553396     EISSN: 1555340X     Source Type: Journal    
DOI: 10.4018/jhisi.2012040101     Document Type: Article

References (52)

1. American Hospital Association (AHA). (2005). Forward momentum: hospital use of information technology. Chicago, IL: Author.
2. Armstrong, J. S., & Overton, T. S. (1977). Estimating non-response bias in mail surveys. JMR, Journal of Marketing Research, 24, 396-402. doi:10.2307/3150783
3. Ash, J. S., Gorman, P. N., Seshadri, V, & Hersh, W. R. (2004). Computerized physician order entry in U.S. hospitals: results from a 2002 survey. Journal of the American Medical Informatics Association, 11, 95-99. doi:10.1197/jamia.M1427 (Pubitemid 38327496)
4. Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Academy of Marketing Science, 16(1), 74-94. doi:10.1007/BF02723327
5. Borger, C, Smith, S., Truffer, C, Keehan, S., Sisko, A., Poisal, J., et al. (2006). Health spending projections through 2015: Changes on the horizon. Health Affairs We Exclusive, W61.
6. Bourgeois, S., Prater, E., & Slinkman, C. (2009). Information technology prescription for small, medium, and large hospitals: An exploratory study of acute care hospitals in Texas. International Journal of Healthcare Information Systems and Informatics, 4(4), 57-68. doi:10.4018/jhisi.2009071004
7. Brailer, D. J. (2005). Economic perspectives on health information technology. Business Economics (Cleveland, Ohio), 40(3), 6-14. doi:10.2145/20050301
8. Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). New York, NY: Routledge, Taylor, & Francis Group.
9. Callaway, S., & Dobrzykowski, D. (2009). Serviceoriented entrepreneurship: Service-dominant logic in green design and healthcare. Service Science, 1(4), 225-240. doi:10.1287/serv.1.4.225
10. Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing constructs. JMR, Journal of Marketing Research, 16, 64-73. doi:10.2307/3150876
11. Cohen, S. (2005). Emerging benefits of integrated IT systems. Healthcare Executive, 20(5), 14-18.
12. Cutler, D. M., Feldman, N. E., & Horowitz, J. R. (2005). U.S. adoption of computerized physician order entry systems. Health Affairs, 24, 1654-1663. doi:10.1377/hlthaff.24.6.1654 (Pubitemid 41739115)
13. Dobrzykowski, D. D. (2011). Examining structural constraints and electronic health record use in acute care hospitals. Transactions of the International Conference on Health Information Technology Advancement, 1(1), 45-54.
14. Dorenfest, S. I. (2004). Technology spending is growing rapidly. Retrieved August 24, 2011, from http://www.dorenfest.com/pressrelease-feb2004. pdf
15. Falan, S., & Han, B. (2011). Say good-bye to the silos and hello to collaboration: A new curriculum approach. Transactions of the International Conference on Health Information Technology Advancement, 1(1), 108-115.
16. Federal Register. (2010). 42 CFR Parts 412, 413, 422 et al., Medicare and Medicaid Programs; Electronic Health Record Incentive Program; Final Rule. Department of Health and Human Services, Centers for Medicare & Medicaid Services, 75(144), 44313-44588.
17. Flynn, B.B., Sakakibara, S., Schroeder, R.G., Bates, K.A., Flynn, E. J., (1990). Empirical research methods in operations management. Journal of Operations Management, 9(2), 250-284.
18. Ford, E., & Scanlon, D. (2007). Promise and problems with supply chain management approaches to healthcare purchasing. Health Care Management Review, 32(3), 192-202. (Pubitemid 47220575)
19. Goldstein, S. M., & Naor, M. (2005). Linking publicness to operations management practices: a study of quality management practices in hospitals. Journal of Operations Management, 23, 209-228. doi:10.1016/j.jom.2004.07.007 (Pubitemid 40212024)
20. st century challenges: Reexamining the base of the federal government (Tech. Rep. No. GAO-05-325SP). Washington, DC: Author.
21. Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Pearson/Prentice Hall.
22. Hartzeman, A., Winterstein, A., Johns, T., de Leon, J., Bailey, W., McDonald, K., & Pannell, R. (2007). Planning for pharmacy health information technology in critical access hospitals. American Journal of Health-System Pharmacy, 64(3), 315-321. doi:10.2146/ajhp060134 (Pubitemid 46193262)
23. Health Resources and Services Administration (HRSA). (2010). A manual on effective collaboration between critical access hospitals and federally qualified health centers. Washington, DC: U.S. Department of Health and Human Services.
24. Helms, M. M., Moore, R., & Ahmadi, M. (2008). Information Technology (IT) and the healthcare industry: A SWOT analysis. International Journal of Healthcare Information Systems and Informatics, 3(1), 75-92. doi:10.4018/jhisi.2008010105
25. Hong, P., Dobrzykowski, D., & Vonderembse, M. (2010). Integration of supply chain IT and lean practices for mass customization: benchmarking of product and service focused manufacturers. Benchmarking: An International Journal, 17(4), 561-592. doi:10.1108/14635771011060594
26. Hough, C, Chen, J., & Lin, B. (2005). Virtual health/electronic medical record: Current status and perspective. International Journal of Healthcare Technology and Management, 6(3), 257. doi: 10.1504/IJHTM.2005.006523 (Pubitemid 40485267)
27. Ilie, V, Van Slyke, C, Parikh, M., & Courtney, J. (2009). Paper versus electronic medical records: the effects of access on physicians. Decision Sciences, 40(2), 213-242. doi: 10.111 1/j. 1540-5915.2009.00227.x
28. Institute of Medicine (IOM). (1991). The computer-based patient record: An essential technology for healthcare. Washington, DC: National Academy Press.
29. Jayaram, J., Ahire, S. L., & Dreyfus, P. (2010). Contingency relationships of firm size, TQM duration, unionization, and industry type on TQM implementation - A focus on total effects. Journal of Operations Management, 28, 345-356. doi:10.1016/j. jom.2009.11.009
30. Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., & Ferris, T. G. (2009). Use of electronic health records in U. S. hospitals. The New England Journal of Medicine, 360(16), 1628-1638. doi:10.1056/ NEJMsa0900592
31. Joynt, K. E., Harris, Y, Orav, E. J., & Jha, A. K. (2011). Quality of care and patient outcomes in critical access rural hospitals. Journal of the American Medical Association, 306(1), 45-52. doi10.1001/jama.2011.902
32. Katsamakas, E., Janamanchi, B., Raghupathi, W., & Gao, W. (2009). A classification analysis of the success of open sources health information technology projects. International Journal of Healthcare Information Systems and Informatics, 4(4), 19-36. doi:10.4018/jhisi.2009071002
33. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford Press.
34. Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press.
35. Li, L. X., & Benton, W. C. (2006). Hospital technology and nurse staffing management decisions. Journal of Operations Management, 24, 676-691. doi:10.1016/j.jom.2005.06.001 (Pubitemid 44291856)
36. Li, L. X., Benton, W. C., & Leong, G. K. (2002). The impact of strategic operations manag ement decisions on community hospital performance. Journal of Operations Management, 20, 389-408. doi: 10.1016/S0272-6963(02)00002- 5 (Pubitemid 34716032)
37. McCullough, J., Casey, M., Moscovice, I., & Burlew, M. (2011). Meaningful use of health information technology in rural hospitals. The Journal of Rural Health, 27, 329-337. doi:10.1111/j.1748-0361.2010.00359.x
38. McDermott, C, & Stock, G. (2007). Hospital operations and length of stay performance. International Journal of Operations & Production Management, 27(9), 1020-1042. doi:10.1108/01443570710775847
39. McFadden, K. L., Henagan, S. C, & Gowen, C. R. III. (2009). The patient safety chain: Transformational leadership's effect on patient safety culture, initiatives, and outcomes. Journal of Operations Management, 27, 390-404. doi:10.1016/j.jom.2009.01.001
40. Meyer, S. M., & Collier, D. A. (2001). An empirical test of the causal relationships in the Baldrige health care pilot criteria. Journal of Operations Management, 19, 403-425. doi:10.1016/S0272-6963(01)00053-5 (Pubitemid 32451631)
41. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. doi: 10.1287/isre.2.3.192
42. Mora Monge, C, Rao, S., Gonzales, M., & Sohal, A. (2006). Performance measurement of AMT: a cross-regional study. Benchmarking: An International Journal, 13(1-2), 135-146. doi:10.1108/14635770610644637 (Pubitemid 43305844)
43. Qi, Y, Boyer, K., & Zhao, X. (2009). Supply chain strategy, product characteristics, and performance impact: Evidence from Chinese manufacturers. Decision Sciences, 40(4), 667-695. doi:10.1111/j.1540-5915.2009.00246.x
44. Reardon, J. L. (2009). Perceptions of an organizing vision for electronic medical records by independent physician practices. International Journal of Healthcare Information Systems and Informatics, 4(3), 16-37. doi:10.4018/jhisi.2009070102
45. Spil, T. A., Le Rouge, C, Trimmer, K., & Wiggins, C. (2009). IT adoption and evaluation in healthcare: Evolution and insights in theory, methodology, and practice. International Journal of Healthcare Information Systems and Informatics, 4(3), 69-96. doi:10.4018/jhisi.2009070105
46. Srivastava, R., & Homer, C. J. (2003). Length of stay for common pediatric conditions: teaching versus nonteaching hospitals. Pediatrics, 112(2), 278-281. doi:10.1542/peds.112.2.278 (Pubitemid 36951385)
47. Swafford, P., Ghosh, S., & Murthy, N. (2006). The antecedents of supply chain agility of a firm: Scale development and model testing. Journal of Operations Management, 24(2), 170-188. doi:10.1016/j. jom.2005.05.002 (Pubitemid 41808261)
48. Thielst, C. B. (2007). The new frontier of electronic, personal and virtual health records. Journal of Healthcare Management, 52(2), 75-78. (Pubitemid 351151789)
49. Trimmer, K., Cellucci, L. W., Wiggins, C, & Woodhouse, W. (2009). Electronic medical records: TAM, UTAUT, and culture. International Journal of Healthcare Information Systems and Informatics, 4(3), 55-68. doi:10.4018/jhisi.2009070104
50. Tucker, A. L., Nembhard, I. M., & Edmondson, A. C. (2007). Implementing new practices: an empirical study of organizational learning in hospital intensive care units. Management Science, 53(6), 894-907. doi:10.1287/mnsc.1060.0692 (Pubitemid 351159622)
51. West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with non-normal variables: Problems and remedies. In R. H. Hoyle (Ed.) Structural equationmodeling: Concepts, issues, and applications (56-75). Thousand Oaks, CA: Sage.
52. Younis, M. (2004). Length of hospital stay of Medicare patients in the post-pro spective-payment-sy stem era. Journal of Health Care Finance, 31(1), 23-30.