Previously submitted to: JMIR Formative Research (no longer under consideration since Jun 30, 2023)
Date Submitted: Aug 11, 2022
Open Peer Review Period: Sep 15, 2022 - Nov 15, 2022
(closed for review but you can still tweet)
NOTE: This is an unreviewed Preprint
Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note "no longer under consideration" will appear above).
Peer review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a "Peer Review Me" button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.
Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).
Final version: If our system detects a final peer-reviewed "version of record" (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.
Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.
Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Adoption of Digital Healthcare with the Concept of the Patient as an Organization
ABSTRACT
Background:
The concept of a patient as an organization in the discussion based on the adoption of digital healthcare delivered through technology is unique because, to date, attributes of the patient-doctor relationship, such as trust, advocacy, acuity, and engagements, have been considered concepts in the several works of literature. Furthermore, while studying different organizational metaphors, the study described organisms as organizations, an idea that fits parameters similar to those of patients. Existing research, "An Integrative Model of Patient-Centeredness," highlights the lack of patient-centeredness in the traditional event-based doctor-patient model. Hence, the argument is that by adopting technology and empowering the patient as an organization, can script a new chapter of primary healthcare all over the world? Where primary healthcare is still a neglected phenomenon by the larger population and the government as well. The prevalence of mobile phones and wearables are considered vital components of digital health acceptance. However, the factors like data privacy, security, reliability, and use-ability that influence the general population's acceptance of digital healthcare remain unclear.
Objective:
This study aimed to identify the factors affecting digital health acceptance using the TAM (Technology Acceptance Model ), HB(Health Belief model), and the UTAUT (Unified Theory of Acceptance and Use of Technology ). The argument is made that the adoption of the technology enables patients to create resources (i.e., data), transforming patients from consumers to producers because it is giving birth to the 'Virtual Self,' i.e., the digital manifestation of the human body.
Methods:
I proposed extended versions of the TAM and HB model and used them to conduct a cross-sectional survey of individuals across multiple age groups. In total, I collected 164 usable responses. Used variable loadings, Cronbach's alpha, and composite dependability (CR) to examine the validity of the measurements. Partial least squares (PLS) investigated digital health acceptance factors.
Results:
PLS analysis showed that health beliefs and perceived ease of use had positive effects on the perceived usefulness of digital healthcare, and system capabilities positively impacted perceived ease of use. Furthermore, perceived service, the customer's willingness to change and reference group influence significantly impacted adoption intention (b > 0.1, t > 1.96, p < 0.05). However, privacy protection and data security, online healthcare resources, and user guidance were not positively associated with perceived usefulness.
Conclusions:
Perceived usefulness, the customer's willingness to change, and the influence of the reference group are decisive variables affecting adoption intention among the general population, whereas privacy protection and data security are indecisive variables. Online resources and user guides do not support adoption intentions. This study adds to the knowledge on digital health adoption in primary and preventive healthcare. Clinical Trial: N/A
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.