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Unplanned representation to hospital by patients with diabetes: development and pilot feasibility testing of a screening tool
Journal article   Peer reviewed

Unplanned representation to hospital by patients with diabetes: development and pilot feasibility testing of a screening tool

Julie Gale, Steven James, Wayne Varndell and Lin Perry
Contemporary Nurse, Vol.57(6), pp.439-449
2021
PMID: 35021961
url
https://doi.org/10.1080/10376178.2022.2029517View
Published Version

Abstract

Diabetes Mellitus Emergency Department Hospital Cognitive Feasibility Nurses Representation Screening
Background: Unplanned representation of patients with diabetes recently discharged from emergency department or in-patient hospitals is a common but complex problem worldwide. This study set out to examine the feasibility of a risk screening interview and whether component characteristics may be associated with unplanned representation of patients with diabetes to a tertiary metropolitan hospital. Methods: A screening interview comprised of demographic, social and clinical characteristics was developed and piloted using prospective cross-sectional survey design. A convenience sample of 55 patients was recruited and screened. Outcomes were the occurrence of unplanned representation to hospital within 28 or 90 days of hospital discharge from the index presentation. Results: The screening interview was shown to be broadly feasible and acceptable for use by staff and patients, with identified areas for modification. Seventeen participants (30.9%) experienced unplanned representation within 90 days of hospital discharge; for 13 participants (23.6%) this occurred within 28 days. Characteristics linked with unplanned representation to hospital were identified. Conclusions: Preliminary data indicated the feasibility of tool use and informed refinement for future testing of the ability of the screening interview to predict those patients with diabetes at high risk of unplanned representation to hospital to enhance effective care planning.

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Nursing

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