Development of model for assessing the acceptance level of users in rural healthcare system of Tamilnadu, India

Abstract

BACKGROUND: HMIS will incorporate a paradigm shift in health such as removing manual records and transformation of data through the complex structure of health departments in Tamilnadu. Thus developing a model of technology acceptance in HMIS contest is important and necessary in order to promote usage of the HMIS in rural health care system. OBJECTIVE: The papers purpose is to formulate a model of technology acceptance of Health Management Information System (HMIS) by generating and validating a research model that best describes rural health care workers usage behavior and behavior intention. METHODS: This research proposes a theoretical framework which is comprised of key determinants that influence usage behavior of HMIS together with moderator. It has been tested through different parametric test and confirmatory factor analysis. RESULTS: Data analysis shows that health workers innovativeness and voluntariness have a direct and positive influence on Technology Acceptance level and that the basic TAM hypotheses are fulfilled. HMIS usage behavior and behavior intention can be increased with factors that are effecting the successful implementation of HMIS when it remains high. CONCLUSIONS: This research enables health departments to know which aspects of their HMIS components and variables to improve. This shows that HMIS usage and health workers/staffs acceptance level are key tools in the success of HMIS. This research has seemed to be done at the right time and in the right place to the best of its kind. Development of model for assessing the acceptance level of users a paradigm shift in health removing manual records and transferring it into electronic information, standardization of health system and process, real time monitoring of hospitals performance, development of good communication and transformation of data through the complex structure of health departments in Tamilnadu.Health Industry has a significant role in Information System field, even though health industry has not yet received much attention in IS research, and the one of the important area of research in Information System is Technology acceptance. If IS theory is to diffuse more broadly [13], more attention to industry in theory development is needed. Many theories and models have been developed mostly in the U.S. Some of the most well-known theories/models were Technology Acceptance Model (TAM), TAM2, Innovations Diffusion Theory, Social Cognitive theory, Theory of reasoned action, Theory of planned behavior etc. Most of these theories of IS research has concentrated on a small subset of industries. Research findings from these industries cannot be generalized to other settings unless we assume that "nature is uniform" [10], that is unless we assume that differences among industries do not affect the applicability of IT knowledge and theory.In addition, there are some inconsistencies in the key determinants and moderators of technology acceptance, as to whether there are only determinants such as Perceived ease of use, Perceived ease of...

Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3

“…TAM-3 expanded on earlier versions of the model by incorporating social norms, human and social change processes, and adding additional determinants of perceived ease of use and perceived usefulness [ 28 , 31 ]. In India, the TAM model has been used and adapted to determine the factors of acceptance of health information technology by outpatients in a private-sector hospital [ 33 ]; to assess adoption of health information technology by rural healthcare workers [ 34 ]; and to model acceptance and usage of a health management information system among workers in a rural healthcare system [ 35 ], but it has not been applied to any technologies designed to improve quality of care.…”

A Systematic Review of the Technology Acceptance Model in Health Informatics

“…46,47 Another study comparing the TAM and the UTAUT among physicians concluded that the usage intentions were strongly associated with the performance expectancy on attitude and attitude concepts. 48 Manimaran and Lakshmi 49 formulated an integrated TAM for Health Management Information System and concluded that health workers' innovativeness and voluntariness had a direct and positive influence on these intentions. Similarly, Smith and Motley 50 found that e-prescribing acceptance was predicted by the technological sophistication, operational factors, and maturity factors constructs, i.e., ease-of-use variables derived from the TAM.…”

Research gaps in routine health information system design barriers to data quality and use in low‐ and middle‐income countries: A literature review

“…A study in India reported that change management and capacity building issues were key factors affecting the performance of key national and state‐level HIS . Studies found that HMIS usage and increased acceptance of HMIS among health workers was important for uptake of HMIS and that individual motivation and skills affected data quality . However, one study reported that data quality issues were compounded by information work flow barriers and unfriendly software features that adversely affected data flow and required institutional capacity building in addition to individual trainings .…”