An Exploratory Study of the Readiness of Public Healthcare Facilities in Developing Countries to Adopt Health Information Technology (HIT)/e-Health: the Case of Ghana

Yusif, Salifu; Hafeez‐Baig, Abdul; Soar, Jeffrey

doi:10.1007/s41666-020-00070-8

Cited by 30 publications

(26 citation statements)

References 53 publications

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“…The data comprises metadata about themes that emerged in an initial qualitative research. The themes were "core readiness"recognizing for the need for eHealth systems; "engagement readiness"involving relevant stakeholders to gain acceptance; "technological readiness"availability and affordability of all needed technologies for eHealth; "regulatory and policy readiness"guidelines for the use of eHealth systems; and "change management readiness" preparation to support people to be affected by implemented eHealth system (Yusif et al, 2020). In measuring the themes, we used the codes or attributes of each theme measurement tools.…”

Section: Komfo Anokye Teaching Hospitalmentioning

confidence: 99%

“…This paper reports the application of the research model (Figure 1) to the preparation of the Komfo Anokye Teaching Hospital (KATH) for EHR implementation with an existing and/or known variables in the lens of technology-organization-environment (TOE) previously studied by Yusif et al (2020). The variables in the model are themes that emerged from an initial qualitative study.…”

Section: Introductionmentioning

confidence: 99%

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A model for evaluating eHealth preparedness – a case study approach

Yusif

Hafeez‐Baig

Soar

2020

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Purpose This paper aims to validate an initially developed e-Health readiness assessment model. Design/methodology/approach The authors thematically analysed an initial qualitative data collected and used the outcome to develop survey instruments for this study. To collect the quantitative data, the authors used the drop and collect survey approach given the research setting. The quantitative data was analysed using factor and regression analyses of SPSS 23 in which hypotheses formulated were tested. Findings The results suggest that the model [R2 = 0.971; F (5, 214) = 1414.303], which is made up of readiness assessment factors (constructs) and measuring tools explain about 97% of the variance of the overall health information technology/e-Health adoption readiness at Komfo Anokye Teaching Hospital. The measuring tools were reliable for assessing the composite variables (constructs): technology readiness; operational resource readiness; organizational and cultural readiness; regulatory and policy readiness; and core readiness, which have significant influence on eHealth adoption readiness assessment.. Originality/value This study has successfully validated empirically developed eHealth readiness assessment model with complete reliable indicators given that existing eHealth readiness assessment models have not been effective due to a general lack of standard indicators for measuring assessment factors. The study also contributes to the growing research on the adoption of information technology/systems in health-care environment using the Technology–Organization–Environment framework.

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Section: Komfo Anokye Teaching Hospitalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A model for evaluating eHealth preparedness – a case study approach

Yusif

Hafeez‐Baig

Soar

2020

Self Cite

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“…Variety of underlined theories, including unified theory of acceptance (Baishya and Samalia, 2020; Dwivedi et al , 2020) and use of technology model (Patwardhan et al , 2018; Sevick et al , 2017; Tönnissen and Teuteberg, 2020; Wang et al , 2020), were used in the past research to examine behavioral intention of various users and professional in health-care industry across developing countries (Yusif et al , 2020). Various implementation issues of BC need to be examined by health-care industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Barriers to blockchain adoption in health-care industry: an Indian perspective

Sharma

Joshi

2021

JGOSS

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Purpose This paper aims to identify barriers toward the adoption of blockchain (BC) technology in Indian health-care industry and also examines the significant issues of BC applications in health-care industry. Design/methodology/approach The barriers of the study are identified by two phases including the review of literature and semistructured interviews with hospital staff and administration operating in India. The experts (N = 15) are being taken from top-level management, IT experts and patients from the hospitals. The study implemented integrated total interpretative structural modeling-FUZZY-Cross-impact matrix multiplication applied to classification (TISM-FUZZY-MICMAC) methods for identifying the interrelationship among the barriers. Findings A total of 15 barriers have been determined in the Indian health-care industry through discussion with the selected experts. TISM is applied to develop multilevel structure for BC barriers. Further, FUZZY-MICMAC has been used to compute driving and dependent barriers. The findings suggest that low awareness related to legal issues and low support from high level of management have maximum driving power. Research limitations/implications The present study applies multicriterion approach to identify the limited barriers in BC adoption in health care. Future studies may develop the relationship and mark down the steps for implementation of BC in health-care setting of a developing economy. Empirical study can be conducted to verify the results along with selected case studies. Practical implications The present study identifies the BC adoption barriers in health-care industry. The study examines the pertinent issues in context to major support required, bottlenecks in adoption, key benefits of adoption planning and activities. The technology adoption practices are expected to provide applications such as distributed, secured medical and clinical data and patient centric systems that will enhance the efficiency of the health-care industry. Originality/value The study is among few primary studies that identify and analyze the BC adoption in health-care industry.

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“…In this study for consistency purposes, e-health is used throughout the paper. In other words, e-health is defined as the "delivery and management of health information for and by healthcare providers, receivers and policy-makers through the Internet and telecommunications using computers, PDAs, mobile phones and other digital devices" [10]. In this paper, e-health refers to the delivery and management of information related to health by the patients through the internet using PDAs, phones, computers, and other related devices.…”

Section: Introductionmentioning

confidence: 99%

The Antecedents and Consequences of E-Health Literacy in the Pharmaceutical Industry: An Agenda for Future Research

et al. 2020

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As a promising area in healthcare research, electronic health (e-health) has received more research attention recently. The purpose of this paper is to develop and validate a proposed conceptual framework for digital health literacy. This conceptual framework is planned as a guide for future studies to use and validated as a foundation for quantitative studies to investigate the e-Health Literacy as perceived by citizens in Asia amid the outback of the world’s high-risk pandemic crisis such as Coronavirus (Covid19). This conceptual analysis applied Technology Acceptance Model as a basis to develop the antecedents of a healthy lifestyle among the citizens of Asian countries. This conceptual paper proposed that Information quality, system quality, and service quality will affect the citizens’ perceived ease of use and their perceived usefulness, which can affect their intention to use e-health and consequently results in a healthy lifestyle among the citizens. This conceptual paper submitted research hypotheses that will be a basis for future researches in Asia and if the framework is validated, recommendations will be offered to various stakeholders on how to improve a healthy lifestyle in Asia. Specifically, the proposed conceptual framework if validated will help policymakers to offer positive policies and procedures for the improvement of thriving healthcare industries in Asia.

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An Exploratory Study of the Readiness of Public Healthcare Facilities in Developing Countries to Adopt Health Information Technology (HIT)/e-Health: the Case of Ghana

Cited by 30 publications

References 53 publications

A model for evaluating eHealth preparedness – a case study approach

A model for evaluating eHealth preparedness – a case study approach

Barriers to blockchain adoption in health-care industry: an Indian perspective

The Antecedents and Consequences of E-Health Literacy in the Pharmaceutical Industry: An Agenda for Future Research

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