Is the adoption of electronic health record system “contagious”?

Gan, Qiwei

doi:10.1016/j.hlpt.2015.02.009

Cited by 14 publications

(4 citation statements)

References 38 publications

(52 reference statements)

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“…“The findings also suggest that the two factors (TTF and social contagion) are not independent and the interaction of them plays a more important role that either of them alone.” (Gan, 2015) [ 74 ]…”

Section: Resultsmentioning

confidence: 99%

“…These affective states may be advantageous or disadvantageous in users' acceptance of new information systems "Based on extensive literature review and drawing upon two theories-social contagion theory and task technology fit theory-I argue that the adoption of EHR system is contagious among health care providers; however, the contagion effect depends on the fit between the characteristics of EHR system and the characteristics of health care providers." (Gan, 2015) [74]…”

Section: Cultural Dimension Theory Agency Centeredmentioning

confidence: 99%

“…It holds that actors' behaviors are a function of their exposure to others' behaviors Structural • "The findings also suggest that the two factors (TTF and social contagion) are not independent and the interaction of them plays a more important role that either of them alone." (Gan, 2015) [74]…”

Section: Cultural Dimension Theory Agency Centeredmentioning

confidence: 99%

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Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Heinsch¹,

Wyllie²,

Carlson³

et al. 2021

J Med Internet Res

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Background Theory-guided approaches to implementation science have informed translation efforts and the acceptance of eHealth (digital health) interventions in clinical care. However, there is scarce evidence on which theories are best suited to addressing the inherent complexity of eHealth implementation. Objective The objectives of this systematic review are to identify theories that inform and explain eHealth implementation and to classify these theories using the typology by Sovacool and Hess for theories of sociotechnical change. Methods An electronic search was conducted in the PsycINFO, MEDLINE, Embase, CINAHL, Scopus, Sociological Source Ultimate, Web of Science, ABI/INFORM, EBSCO, and ProQuest databases in June 2019. Studies were included if they were published between 2009 and June 2019; were written in English; reported on empirical research, regardless of study or publication type; reported on one or more theories in the context of eHealth implementation; and were published in a peer-reviewed journal. A total of 2 reviewers independently assessed the titles, abstracts, and full texts. Theories identified were classified using a typology for theories of sociotechnical change, which was considered a useful tool for ordering and analyzing the diverse theoretical approaches as a basis for future theory building. Results Of the 13,101 potentially relevant titles, 119 studies were included. The review identified 36 theories used to explain implementation approaches in eHealth. The most commonly used approaches were the Technology Acceptance Model (TAM) (n=33) and the Unified Theory of Acceptance and Use of Technology (UTAUT) (n=32). These theories were primarily concerned with individual and interpersonal elements of eHealth acceptance. Less common were theories that reflect the various disorderly social processes and structural dimensions of implementation, such as the normalization process theory (n=17) and the structuration theory (n=6). Conclusions Theories currently informing the implementation of eHealth interventions predominantly focus on predicting or explaining end-user acceptance. Theoretical perspectives that capture the dense and intricate relationships and structures required to enact sustainable change are less well represented in the eHealth literature. Given the growing acknowledgment of the inherent complexity of eHealth implementation, future research should develop and test models that recognize and reflect the multidimensional, dynamic, and relational nature of this process.

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Section: Resultsmentioning

confidence: 99%

Section: Cultural Dimension Theory Agency Centeredmentioning

confidence: 99%

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Theories Informing eHealth Implementation: Systematic Review and Typology Classification

Heinsch¹,

Wyllie²,

Carlson³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Most LHDs do not have eligible providers, as they mainly use nurses; therefore, they do not qualify for incentives provided through this program. However, reaching the objectives for meaningful use of EHRs can assist with improvement in quality of care through patient safety, 10 , 11 effectiveness and efficiency, medical error reduction, assistance in decision making, 12 and advances in describing appropriateness of care through patient-level measures. 13 Societal outcomes mentioned in the literature include abilities to link parent and child records for more comprehensive and holistic care with familial context 14 and the availability of clinical data for research and improvement of population health.…”

mentioning

confidence: 99%