Predicting all‐cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi‐centre study

Sharmin, Sifat; Meij, Johannes J.; Zajac, Jeffrey D; Moodie, Alan Rob; Maier, Andrea B.

doi:10.1111/ijcp.14306

Cited by 3 publications

(1 citation statement)

References 22 publications

(55 reference statements)

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“…Consequently, it does not come as a surprise that those with four or more hospital admissions were most likely to enrol in the programme. Several factors, including lack of a spouse, 27 28 advanced age, 29 the presence of multiple chronic conditions 30 and longer hospital stays, 31 are known to be linked with higher 30-day readmission rates. These characteristics featured prominently among programme enrollees in our study.…”

Section: Discussionmentioning

confidence: 99%

Does a Community Care programme reach a high health need population and high users of acute care hospital services in Melbourne, Australia? An observational cohort study

Shannon,

Bowles,

Williams

et al. 2023

BMJ Open

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ObjectiveThe Community Care programme is an initiative aimed at reducing hospitalisations and emergency department (ED) presentations among patients with complex needs. We aimed to describe the characteristics of the programme participants and identify factors associated with enrolment into the programme.DesignThis observational cohort study was conducted using routinely collected data from the National Centre for Healthy Ageing data platform.SettingThe study was carried out at Peninsula Health, a health service provider serving a population in Melbourne, Victoria, Australia.ParticipantsWe included all adults with unplanned ED presentation or hospital admission to Peninsula Health between 1 November 2016 and 31 October 2017, the programme’s first operational year.Outcome measuresCommunity Care programme enrolment was the primary outcome. Participants’ demographics, health factors and enrolment influences were analysed using a staged multivariable logistic regression.ResultsWe included 47 148 adults, of these, 914 were enrolled in the Community Care programme. Participants were older (median 66 vs 51 years), less likely to have a partner (34% vs 57%) and had more frequent hospitalisations and ED visits. In the multivariable analysis, factors most strongly associated with enrolment included not having a partner (adjusted OR (aOR) 1.83, 95% CI 1.57 to 2.12), increasing age (aOR 1.01, 95% CI 1.01 to 1.02), frequent hospitalisations (aOR 7.32, 95% CI 5.78 to 9.24), frequent ED visits (aOR 2.0, 95% CI 1.37 to 2.85) and having chronic diseases, such as chronic pulmonary disease (aOR 2.48, 95% CI 2.06 to 2.98), obesity (aOR 2.06, 95% CI 1.39 to 2.99) and diabetes mellitus (complicated) (aOR 1.75, 95% CI 1.44 to 2.13). Residing in aged care home and having high socioeconomic status) independently associated with reduced odds of enrolment.ConclusionsThe Community Care programme targets patients with high-readmission risks under-representation of individuals residing in residential aged care homes warrants further investigation. This study aids service planning and offers valuable feedback to clinicians about programme beneficiaries

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Section: Discussionmentioning

confidence: 99%

Does a Community Care programme reach a high health need population and high users of acute care hospital services in Melbourne, Australia? An observational cohort study

Shannon,

Bowles,

Williams

et al. 2023

BMJ Open

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Is it legitimate to use unplanned hospitalizations as a quality indicator for cancer patients? A retrospective French cohort study with special attention to the influence of social deprivation

Vermeulin,

Froment,

Merle

et al. 2024

Support Care Cancer

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Identifying opportunities to optimise the electronic medical record for allied health professionals: a concept mapping study

et al. 2023

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Objective To utilise a concept mapping process to identify key opportunities for electronic medical record (EMR) optimisation for allied health professionals (AHPs). Methods A total of 26 participants (allied health managers, clinicians and healthcare consumers) completed the concept mapping process, which included generating statements, and then subsequently sorting all statements into groups, and also ranking each statement for importance and changeability (0 = not important/changeable, 4 extremely important/changeable). Multivariate analysis and multidimensional scaling were then used to identify core priorities for digital optimisation. Results Participants generated 98 discrete statements that were grouped into 13 conceptual clusters. Of these, 36 statements were subsequently determined to fall within the ‘green zone’ on the Go-Zone plot of importance and changeability (changeability ≥2.44, importance ≥2.79), and formed the set of key optimisation priorities. Clusters with the most items in the Go-Zone plot were ‘training and business rules’ and ‘service statistics.’ Conclusion Concept mapping facilitated identification of 36 key optimisation priorities considered both changeable and important to assist EMR optimisation for AHPs. Addressing these priorities requires action related to end-user skills and training, EMR system capacity, and streamlining of governance and collaboration for the optimisation process.

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Predicting all‐cause unplanned readmission within 30 days of discharge using electronic medical record data: A multi‐centre study

Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Cited by 3 publications

References 22 publications

Does a Community Care programme reach a high health need population and high users of acute care hospital services in Melbourne, Australia? An observational cohort study

Does a Community Care programme reach a high health need population and high users of acute care hospital services in Melbourne, Australia? An observational cohort study

Is it legitimate to use unplanned hospitalizations as a quality indicator for cancer patients? A retrospective French cohort study with special attention to the influence of social deprivation

Identifying opportunities to optimise the electronic medical record for allied health professionals: a concept mapping study

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