Understanding risk factors of elderly inpatient falls using contextual model

Nandini Anantharama, Grace Rumantir, Bismi Jomon, Michelle Ananda-Rajah, Annie Gilbert

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Abstract

    The field of Information Systems is about bridging the digital and information divide. Advances in the digital world enable information to be stored and structured in a manner that facilitates effective use of the information for future modelling purposes. Elderly inpatient falls are a common global phenomenon, and an inpatient fall incident can have severe consequences for the patient, caregivers and the healthcare provider. An inpatient fall can result from many causes and its risk can be increased through the combination of these causes. Many risk factors of elderly inpatient falls have been reported in various papers in the literature. However, a logical comprehensive categorisation of all these factors does not currently exist. The objective of this research in progress is to come up with a generic categorisation of the risk factors for elderly inpatient falls alongside the usage of a contextual model to illustrate the inherent interactions amongst these various factors. In addition, we found that the effect of the interaction amongst some risk factors is time dependent which also needs to be incorporated in the contextual model. Such comprehensive categorisation and contextual risk model will help health providers in the process of profiling of an elderly inpatient with respect to his/her fall risk. It is useful to experts in health informatics in formulating models to automate this process.

    Original languageEnglish
    Title of host publicationPACIS 2016 Proceedings
    EditorsPatrick Y. K. Chau, She-I Chang
    PublisherPacific Asia Conference on Information Systems
    Number of pages12
    ISBN (Electronic)9789860491029
    ISBN (Print)9789860491029
    Publication statusPublished - 2016
    EventPacific Asia Conference on Information Systems 2016: IT Governance for Future Society - Chiayi, Taiwan
    Duration: 27 Jun 20161 Jul 2016
    Conference number: 20th
    http://www.pacis2016.org/

    Conference

    ConferencePacific Asia Conference on Information Systems 2016
    Abbreviated titlePACIS 2016
    CountryTaiwan
    CityChiayi
    Period27/06/161/07/16
    OtherThe Pacific Asia Conference on Information Systems (PACIS) is an annual academic conference intended to provide a high quality conference for researchers, senior scholars, practitioners to share their visions and knowledge. The theme of the conference this year is “IT Governance for Future Society.” With the rapid development and application of new information technologies, how to manage them effectively to increase productivity and reduce risks is critical. This is particularly important for developing countries in the Asia Pacific Region.
    Internet address

    Keywords

    • Elderly inpatient falls
    • Risk factors
    • Contextual model
    • eHealth

    Cite this

    Anantharama, N., Rumantir, G., Jomon, B., Ananda-Rajah, M., & Gilbert, A. (2016). Understanding risk factors of elderly inpatient falls using contextual model. In P. Y. K. Chau, & S-I. Chang (Eds.), PACIS 2016 Proceedings Pacific Asia Conference on Information Systems.
    Anantharama, Nandini ; Rumantir, Grace ; Jomon, Bismi ; Ananda-Rajah, Michelle ; Gilbert, Annie. / Understanding risk factors of elderly inpatient falls using contextual model. PACIS 2016 Proceedings. editor / Patrick Y. K. Chau ; She-I Chang. Pacific Asia Conference on Information Systems, 2016.
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    title = "Understanding risk factors of elderly inpatient falls using contextual model",
    abstract = "The field of Information Systems is about bridging the digital and information divide. Advances in the digital world enable information to be stored and structured in a manner that facilitates effective use of the information for future modelling purposes. Elderly inpatient falls are a common global phenomenon, and an inpatient fall incident can have severe consequences for the patient, caregivers and the healthcare provider. An inpatient fall can result from many causes and its risk can be increased through the combination of these causes. Many risk factors of elderly inpatient falls have been reported in various papers in the literature. However, a logical comprehensive categorisation of all these factors does not currently exist. The objective of this research in progress is to come up with a generic categorisation of the risk factors for elderly inpatient falls alongside the usage of a contextual model to illustrate the inherent interactions amongst these various factors. In addition, we found that the effect of the interaction amongst some risk factors is time dependent which also needs to be incorporated in the contextual model. Such comprehensive categorisation and contextual risk model will help health providers in the process of profiling of an elderly inpatient with respect to his/her fall risk. It is useful to experts in health informatics in formulating models to automate this process.",
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    Anantharama, N, Rumantir, G, Jomon, B, Ananda-Rajah, M & Gilbert, A 2016, Understanding risk factors of elderly inpatient falls using contextual model. in PYK Chau & S-I Chang (eds), PACIS 2016 Proceedings. Pacific Asia Conference on Information Systems, Pacific Asia Conference on Information Systems 2016, Chiayi, Taiwan, 27/06/16.

    Understanding risk factors of elderly inpatient falls using contextual model. / Anantharama, Nandini; Rumantir, Grace ; Jomon, Bismi; Ananda-Rajah, Michelle; Gilbert, Annie.

    PACIS 2016 Proceedings. ed. / Patrick Y. K. Chau; She-I Chang. Pacific Asia Conference on Information Systems, 2016.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    Anantharama N, Rumantir G, Jomon B, Ananda-Rajah M, Gilbert A. Understanding risk factors of elderly inpatient falls using contextual model. In Chau PYK, Chang S-I, editors, PACIS 2016 Proceedings. Pacific Asia Conference on Information Systems. 2016