DIGITALIZATION OF MEDICATION THERAPY MANAGEMENT:

Transcription

1 DIGITALIZATION OF MEDICATION THERAPY MANAGEMENT: INTEGRATING SMARTPHONE A PPS INTO CONTINUUM O F CARE Jan 11, 2016

2 OUTLINE Background Medication Therapy Management Deficiency Of Medication Side Effects Counseling at HA Hospitals Growing Importance of Mobile Health (m-health) Potential Benefit of M-health Classification of m-health Solutions Mobile MTM Opportunities in HK Challenges Facing M-health Adoption in HK Research Objective A Conceptual Framework of M-Health Research in HK Research Plan Implications Reference 2

3 BACKGROUND Medication Therapy Management (MTM) MTM is a distinct service or group of services that optimize therapeutic outcomes for individual patients (Bluml, 2005) MTM consists of a broad range of professional activities and responsibilities provided by pharmacist s or other qualified health care provider s: medication therapy review personal medical record medication action plan intervention/referral documentation/follow-up 3

4 BACKGROUND Deficiency Of Medication Side Effects Counselling at HA Hospitals According to the latest Patient Experience and Satisfaction Survey (Hospital Authority, 2014), 50% of patients reported deficiency of medication side effects counseling when discharged from hospital. 4

5 BACKGROUND Growing Importance of M-health Mobile health (m-health) technology is transforming health care delivery in the continuum of care (from monitoring, prevention, detection of diseases, and in more advanced services present basic diagnosis. Health research topics including cardiology, diabetes, obesity, smoking cessation, elderly care and chronic diseases have gathered important findings and contributions from m-health (Silva, 2015). 5 M-health is defined by Kahn et al. (2010, pp. 255) as..the use of portable electronic devices for mobile voice or data communication over a cellular or other wireless network of base stations to provide health information.

6 BACKGROUND Potential Benefit of M-health Through empowerment of patient self-management, a study by PwC (2013) estimates that M-Health has the potential to save the EU 99 EUR billion in healthcare costs in 2017 and help 185 million patients lead healthier lives. 6

7 BACKGROUND Classification of m-health Solutions Based on extant studies, Dehzad et al. (2014) proposed a classification model for m-health solutions according to Type of technology Domain Target group 7

8 BACKGROUND Mobile MTM Opportunities in HK Hong Kong has the highest smartphone penetration rate (87%) in Asia Pacific and ranks top 10 in the world (Nielsen, 2014). It entices the opportunity of the enhancement of MTM for HA patients through mobile apps. 8

9 BACKGROUND Mobile MTM Opportunities in HK Current and emerging mobile health apps (Varshney, 2014) 9

10 BACKGROUND Challenges Facing M-health Adoption in HK 2 pharmacy and drug-related information mobile apps (one developed by HA and another one by United Christian Hospital) available for public hospital patients. However, total cumulative downloads of both apps are around 30,000 in the last 4 years since development 10

11 RESEARCH OBJECTIVE This study aims to investigate factors contributing to drugrelated mobile app adoption among public hospital patients and examine drug-related information pertaining to continuum of care through mobile platform in Hong Kong. 11

12 A CONCEPTUAL FRAMEWORK OF M-HEALTH RESEARCH IN HK Davis et al., (1989) formulated technology acceptance model (TAM) that predict and explain consumer adoption behavior and attitude towards proliferation of the new technology. 12

13 A CONCEPTUAL FRAMEWORK OF M-HEALTH RESEARCH IN HK However, many researchers identified that general adoption theories of social psychology like DOI, TPB, and TAM cannot predict consumers' adoption behavior for onlinebased products because there are other behavioral factors governing the adoption intention and behavior (Dwivedi, 2015). 13

14 A CONCEPTUAL FRAMEWORK OF M-HEALTH RESEARCH IN HK Venkatesh et al. (2012) extended Unified Theory of Acceptance and Use of Technology into UTAUT2 model to reflect citizens' complex behavior for m- health adoption. 14

15 RESEARCH PLAN The research design incorporates self-administrated questionnaires to be conducted at the pharmacy of United Christian Hospital with patients who are users and non-users of the two mobile apps (DREAMS - Drugs Ready E-Alert Me System and TouchMed) available to HA patients. 15

16 IMPLICATIONS The findings of this study will provide an insight into the applicability of m-health adoption theories among Chinese public hospital patients in Hong Kong The findings also provide implication to HA management to overcome barriers to m-health adoption and transition to digitalization of medication therapy management. 16

17 REFERENCE Akhter Shareef, M, Kumar, V, & Kumar, U. (2014) Predicting mobile health adoption behaviour: A demand side perspective. Journal Of Customer Behaviour, 13, 3, pp Bluml, B. M. (2005). Definition of medication therapy management: development of professionwide consensus. JAPHA-WASHINGTON-, 45(5), 566. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), Dehzad, F., Hilhorst, C., de Bie, C. and Claassen, E. (2014) Adopting Health Apps, What s Hindering Doctors and Patients? Health, 6, Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2015). A generalised adoption model for services: a cross-country comparison of mobile health (m-health). Government Information Quarterly. Hospital Authority (2014) Hospital-based Patient Experience and Satisfaction Survey. Hospital Authority Kahn, J. G., Yang, J. S., & Kahn, J. S. (2010). Mobile' health needs and opportunities in developing countries. Health Affairs, 29(2), PwC (2013) Socio-Economic Impact of mhealth: An Assessment Report for the European Union. London. Silva, B. M., Rodrigues, J. J., de la Torre Díez, I., Ló pez-coronado, M., & Saleem, K. (2015). Mobile-health: a review of current state in Journal of biomedical informatics, 56, Nielsen (2014). The asian mobile consumer decoded. Available at: (Accessed: 30 December 2015). Varshney, U. (2014). Mobile health: Four emerging themes of research. Decision Support Systems, 66, Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1),