Literature DB >> 24161004

Understanding gender differences in m-health adoption: a modified theory of reasoned action model.

Xiaofei Zhang1, Xitong Guo, Kee-Hung Lai, Feng Guo, Chenlei Li.   

Abstract

BACKGROUND: Mobile health (m-health) services are becoming increasingly popular in healthcare, but research on m-health adoption is rare. This study was designed to obtain a better understanding of m-health adoption intention.
MATERIALS AND METHODS: We conducted an empirical research of a 481-respondent sample consisting of 44.7% women and 55.3% men and developed a modified theory of reasoned action (TRA) model by incorporating the nonlinearities between attitude and subjective norms and the moderating effect of gender.
RESULTS: The results indicate that, based on the study population in China: (1) facilitating conditions, attitude, and subjective norms are significant predictors of m-health adoption intention; (2) the model including the nonlinearities enhances its explanatory ability; (3) males enjoy a higher level of m-health adoption intention compared with females; (4) the modified TRA model can predict men's behavior intention better than that of women; and (5) males have an Edgeworth-Pareto substitutability between attitude and subjective norms in predicting m-health adoption intention.
CONCLUSIONS: Thus, we found gender differences in m-health adoption from the perspective of social psychology.

Entities:  

Mesh:

Year:  2013        PMID: 24161004     DOI: 10.1089/tmj.2013.0092

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  24 in total

1.  Health Consumer Engagement, Enablement, and Empowerment in Smartphone-Enabled Home-Based Diagnostic Testing for Viral Infections: Mixed Methods Study.

Authors:  Cynthia LeRouge; Polina Durneva; Victoria Lyon; Matthew Thompson
Journal:  JMIR Mhealth Uhealth       Date:  2022-06-30       Impact factor: 4.947

2.  Using mobile health technology to deliver decision support for self-monitoring after lung transplantation.

Authors:  Yun Jiang; Susan M Sereika; Annette DeVito Dabbs; Steven M Handler; Elizabeth A Schlenk
Journal:  Int J Med Inform       Date:  2016-07-19       Impact factor: 4.046

3.  The Moderating Role Of Top Executives' Sex, Level Of Education And Knowledge On Adoption Of Mobile Health Applications By Hospitals In Kenya.

Authors:  Bahati Prince Ngongo; Phares Ochola; Joyce Ndegwa; Paul Katuse
Journal:  J Healthc Leadersh       Date:  2019-11-07

4.  An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern.

Authors:  Md Rakibul Hoque
Journal:  BMC Med Inform Decis Mak       Date:  2016-05-03       Impact factor: 2.796

Review 5.  How Environmental Uncertainty Moderates the Effect of Relative Advantage and Perceived Credibility on the Adoption of Mobile Health Services by Chinese Organizations in the Big Data Era.

Authors:  Xing Chen; Xing Zhang
Journal:  Int J Telemed Appl       Date:  2016-12-25

6.  Patterns of User Engagement With the Mobile App, Manage My Pain: Results of a Data Mining Investigation.

Authors:  Quazi Abidur Rahman; Tahir Janmohamed; Meysam Pirbaglou; Paul Ritvo; Jane M Heffernan; Hance Clarke; Joel Katz
Journal:  JMIR Mhealth Uhealth       Date:  2017-07-12       Impact factor: 4.773

7.  Gender-Specific Determinants and Patterns of Online Health Information Seeking: Results From a Representative German Health Survey.

Authors:  Eva Baumann; Fabian Czerwinski; Doreen Reifegerste
Journal:  J Med Internet Res       Date:  2017-04-04       Impact factor: 5.428

8.  Who is more likely to adopt and comply with the electronic patient-reported outcome measure (ePROM) mobile application? A real-world study with cancer patients undergoing active treatment.

Authors:  Mangyeong Lee; Danbee Kang; Sooyeon Kim; Jihyun Lim; Junghee Yoon; Youngha Kim; Sungkeun Shim; Eunji Kang; Jin Seok Ahn; Juhee Cho; Soo-Yong Shin; Dongryul Oh
Journal:  Support Care Cancer       Date:  2021-08-07       Impact factor: 3.603

9.  Determinants Impacting User Behavior towards Emergency Use Intentions of m-Health Services in Taiwan.

Authors:  Wan-I Lee; Hsin-Pin Fu; Nelio Mendoza; Tzu-Yu Liu
Journal:  Healthcare (Basel)       Date:  2021-05-03

Review 10.  Acceptance of Health Information Technologies, Acceptance of Mobile Health: A Review Article.

Authors:  A Garavand; M Samadbeik; M Kafashi; Sh Abhari
Journal:  J Biomed Phys Eng       Date:  2017-12-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.