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Patient Perceptions of the Use of a Technology-Augmented Healthcare System for the Self-care of Type 2 Diabetes Mellitus and/or Hypertension

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Advances in Human Factors and Ergonomics in Healthcare and Medical Devices (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 779))

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Abstract

The use of consumer health information technologies (ITs) has been escalating among chronically ill patients to enhance the quality of disease self-care. Yet, studies examining the feasibility of such technologies among populations of in-home self-care patients are rare. This study provides the research community with a preliminary assessment of the feasibility of consumer health IT. A total of 38 patients with type 2 diabetes and/or hypertension were enrolled in the study. A tablet-based chronic disease self-monitoring system was set up in patient homes to facilitate disease self-monitoring for a duration of 12 weeks. Patient perceptions about seven variables indicating the feasibility of the system were collected at 2 weeks and 12 weeks post-implementation. Results showed that the healthcare system tested in this study was feasible from patients’ perspectives. Further research is needed to verify the findings in larger samples with longer durations, and assess its feasibility from other aspects.

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References

  1. American Diabetes Association: Standards of medical care in diabetes-2014. Diabetes Care 37(Supplement 1), S14–S80 (2014)

    Article  Google Scholar 

  2. Cappuccio, F.P., et al.: Blood pressure control by home monitoring: meta-analysis of randomised trials. BMJ 329(145) (2004)

    Article  Google Scholar 

  3. Karter, A.J., et al.: Self-monitoring of blood glucose levels and glycemic control: the northern california kaiser permanente diabetes registry∗. Am. J. Med. 111(1), 1–9 (2001)

    Article  Google Scholar 

  4. Patton, S.R.: Adherence to glycemic monitoring in diabetes. J. Diab. Sci. Technol. 9(3), 668–675 (2015)

    Article  MathSciNet  Google Scholar 

  5. Baral-Grant, S., et al.: Self-monitoring of blood pressure in hypertension: a UK primary care survey. Int. J. Hypertens. 2012, 1–4 (2011). (Article ID 582068)

    Article  Google Scholar 

  6. Barlow, J., et al.: A systematic review of the benefits of home telecare for frail elderly people and those with long-term conditions. J. Telemed. Telecare 13(4), 172–179 (2007)

    Article  Google Scholar 

  7. Hailey, D., Roine, R., Ohinmaa, A.: Systematic review of evidence for the benefits of telemedicine. J. Telemed. Telecare 8(Suppl. 1), 1–7 (2002)

    Google Scholar 

  8. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  9. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)

    Article  Google Scholar 

  10. Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)

    Article  Google Scholar 

  11. Taylor, S., Todd, P.A.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6(2), 144–176 (1995)

    Article  Google Scholar 

  12. Agarwal, R., Sambamurthy, V., Stair, R.M.: Research report: the evolving relationship between general and specific computer self-efficacy—an empirical assessment. Inf. Syst. Res. 11(4), 418–430 (2000)

    Article  Google Scholar 

  13. Finlay, K.A., Trafimow, D., Moroi, E.: The importance of subjective norms on intentions to perform health behaviors. J. Appl. Soc. Psychol. 29(11), 2381–2393 (1999)

    Article  Google Scholar 

  14. Finlay, K.A., Trafimow, D., Jones, D.: Predicting health behaviors from attitudes and subjective norms: between-subjects and within-subjects analyses. J. Appl. Soc. Psychol. 27(22), 2015–2031 (1997)

    Article  Google Scholar 

  15. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)

    Article  Google Scholar 

  16. Venkatesh, V., et al.: User acceptance of information technology: Toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Article  Google Scholar 

  17. Bulmer, M.G.: Principles of Statistics. Dover Books on Mathematics, vol. 252. Dover Publications, New York (1979)

    Google Scholar 

  18. Posten, H.O., Robustness of the two-sample t-test. In: Rasch, D., Tiku, M.L., (eds.) Robustness of Statistical Methods and Nonparametric Statistics, pp. 92–99. D. Reidel Publishing Company, Dordrecht (1984)

    Chapter  Google Scholar 

  19. Cohen, J.: Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Lawrence Erlbaum, Hillsdale (1988)

    MATH  Google Scholar 

Download references

Acknowledgments

The study was conducted with the support of the Fundamental Research Funds for the Central Universities (grant no. 21618317).

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Correspondence to Mian Yan .

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Yan, M. (2019). Patient Perceptions of the Use of a Technology-Augmented Healthcare System for the Self-care of Type 2 Diabetes Mellitus and/or Hypertension. In: Lightner, N. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2018. Advances in Intelligent Systems and Computing, vol 779. Springer, Cham. https://doi.org/10.1007/978-3-319-94373-2_26

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