Moderating role of transformational leadership styles of hospital management boards on adoption of mobile health innovations by hospitals in Kenya

Abstract

Sub-Saharan Africa lags other regions in the adoption of both Patient-Centered (PC) and Facility Centered (FC) mobile health (m-health) applications. Transformational Leadership Style (TLS) of Hospital Management Boards (HMBs) is catalytic for the adoption of disruptive technologies such as m-health by hospitals. There is limited evidence on the effect of TLS of HMBs in the adoption of innovations in Low- and Middle-Income Countries (LMICS). This study investigated the moderating role of TLS of HMBs on the adoption of PC and FC m-health by hospitals in Kenya. It used the Logit Regression Model to test null hypotheses that the four constructs of TLS (Idealized Influence (II), Individualized Consideration (IC), Inspirational Motivation (IM), Intellectual Stimulation (IS)) individually or combined had no significant moderating effect on adoption of PC and FC m-health applications.  Primary data was collected from a representative sample size of 211 Top Executives (TEs) of level 4 to 6 hospitals who evaluated the TLS of their HMBs on m-health adoption. At a 5% level of significance, the study found that only the combined application of the four constructs (II, IC, IM, IS) significantly moderated the adoption of PC m-health (p=0.046) but did not moderate FC m-health (p=0.345). Each incremental application of TLS would increase the odds of adopting PC m-health by 1.002 but not for FC. Therefore, this study recommends the capacity strengthening of HMBs in TLS to scale up PC m-health adoption in Kenya and other LMICs. It also recommends a differentiated approach to policies, practices, and theories of adoption of innovations using the PC-FC models.

Keywords: {'name': 'Mobile Health'}, {'name': 'Adoption of M-Health'}, {'name': 'Digital Health'}, {'name': 'Health Innovations'}, {'name': 'Kenya'}

Authors & affiliations

Bahati Prince Ngongo
Affiliation not supplied

Phares Ochola
Affiliation not supplied

Joyce Ndegwa
Affiliation not supplied

Paul Katuse
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

DOI: 10.1108/IJLMA-04-2014-0031

DOI: 10.1108/01437731311289974

DOI: 10.1108/IJLPS-07-2014-0011

DOI: 10.2196/mhealth.3328

DOI: 10.1108/IJOA-10-2011-0520

DOI: 10.1108/01437731111169988

DOI: 10.1177/2050157912459502

Cresswell, J. W., & Plano Clark, V. L. (2007). Designing and conducting mixed methods research. Thousand Oaks etc. Sage.

DOI: 10.1016/j.giq.2015.06.003

DOI: 10.1108/02683941311298869

Field, A., & Miles, J. (n.d.). Discovering statistics using SAS. 2010. London: Sage Publications.

DOI: 10.5688/aj720243

DOI: 10.1111/j.1365-2702.2006.01573.x

DOI: 10.1108/02683940810894747

Mechael, P., Batavia, H., Kaonga, N., Searle, S., Kwan, A., Goldberger, A. & Ossman, J. (2010). Barriers and gaps affecting mHealth in low- and middle-income countries: Policy white paper. Columbia university. Earth institute. Center for global health and economic development (CGHED): with mHealth alliance.

Parahoo K (2006) Nursing Research: Principles, Process and Issues. 2nd ed. Palgrave Macmillan, Houndmills, Basingstoke

DOI: 10.1108/MD-11-2014-0651

DOI: 10.1108/LODJ-10-2014-0197

The Netherland Enterprise Agency (2016), The Kenya Health Sector Market Survey. https://www.rvo.nl/sites/default/files/2016/10/2016_Kenyan_Healthcare_Sector_Report_Compleet.pdf

DOI: 10.1108/DPM-04-2014-0060

World Health Organization (2011). Mobile Health: New Horizons for health through mobile technologies. https://www.who.int/goe/publications/goe_mhealth_web.pdf