Literature DB >> 28253467

Understanding 30-day re-admission after hospitalisation of older patients for diabetes: identifying those at greatest risk.

Gillian E Caughey1, Nicole L Pratt2, John D Barratt2, Sepehr Shakib3, Anna R Kemp-Casey2, Elizabeth E Roughead4.   

Abstract

OBJECTIVE: To identify factors that contribute to older Australians admitted to hospital with diabetes being re-hospitalised within 30 days of discharge. DESIGN, SETTING AND PARTICIPANTS: A retrospective cohort study of Department of Veterans' Affairs administrative data for all patients hospitalised for diabetes and discharged alive during the period 1 January - 31 December 2012. MAIN OUTCOME MEASURES: Causes of re-hospitalisation and prevalence of clinical factors associated with re-hospitalisation within 30 days of discharge.
METHODS: Multivariate logistic regression analysis (backward stepwise) was used to identify characteristics predictive of 30-day re-hospitalisation.
RESULTS: 848 people were hospitalised for diabetes; their median age was 87 years (interquartile range, 77-89 years) and 60% were men. 209 patients (24.6%) were re-hospitalised within 30 days of discharge, of whom 77.5% were re-admitted within 14 days of discharge. 51 re-hospitalisations (24%) were for diabetes-related conditions; 41% of those re-admitted within 14 days had not seen their general practitioner between discharge and re-admission. Factors predictive of re-hospitalisation included comorbid heart failure (adjusted odds ratio [aOR], 1.49; 95% confidence interval [CI], 1.03-2.17; P = 0.036), numbers of prescribers in previous year (aOR [for each additional prescriber], 1.06; 95% CI, 1.01-1.08; P = 0.031), and two or more hospitalisations in the 6 months before the index admission (aOR, 1.79; 95% CI 1.15-2.78; P = 0.009).
CONCLUSION: Older people hospitalised for diabetes who have comorbid heart failure, multiple recent hospitalisations, and multiple prescribers involved in their care are at greatest risk of being re-admitted to hospital within 30 days. Targeted follow-up during the initial 14 days after discharge may facilitate appropriate interventions that avert re-admission of these at-risk patients.

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Year:  2017        PMID: 28253467     DOI: 10.5694/mja16.00671

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  9 in total

1.  Predictive risk score for unplanned 30-day rehospitalizations in the French universal health care system based on a medico-administrative database.

Authors:  Vanessa Pauly; Hélène Mendizabal; Stéphanie Gentile; Pascal Auquier; Laurent Boyer
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2.  Time protective effect of contact with a general practitioner and its association with diabetes-related hospitalisations: a cohort study using the 45 and Up Study data in Australia.

Authors:  Ninh Thi Ha; Mark Harris; David Preen; Rachael Moorin
Journal:  BMJ Open       Date:  2020-04-08       Impact factor: 2.692

3.  Common sampling and modeling approaches to analyzing readmission risk that ignore clustering produce misleading results.

Authors:  Huaqing Zhao; Samuel Tanner; Sherita H Golden; Susan G Fisher; Daniel J Rubin
Journal:  BMC Med Res Methodol       Date:  2020-11-25       Impact factor: 4.615

4.  Study of potentially preventable hospitalisations (PPH) for chronic conditions: what proportion are preventable and what factors are associated with preventable PPH?

Authors:  Jennifer Johnston; Jo Longman; Dan Ewald; Jonathan King; Sumon Das; Megan Passey
Journal:  BMJ Open       Date:  2020-11-09       Impact factor: 2.692

5.  Mortality is not increased with Diabetes in hospitalised very old adults: a multi-site review.

Authors:  Peter Smerdely
Journal:  BMC Geriatr       Date:  2020-12-03       Impact factor: 3.921

6.  Validity of electronic hospital discharge prescription records as a source of medication data for pharmacoepidemiological research.

Authors:  Laura Fanning; Lilian Vo; Jenni Ilomäki; J Simon Bell; Rohan A Elliott; Pēteris Dārziņš
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7.  Drugs, distrust and dialogue -a focus group study with Swedish GPs on discharge summary use in primary care.

Authors:  Gabriella Caleres; Eva Lena Strandberg; Åsa Bondesson; Patrik Midlöv; Sara Modig
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Review 8.  Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis.

Authors:  Jade Gek Sang Soh; Wai Pong Wong; Amartya Mukhopadhyay; Swee Chye Quek; Bee Choo Tai
Journal:  BMJ Open Diabetes Res Care       Date:  2020-08

9.  Elderly at risk in care transitions When discharge summaries are poorly transferred and used -a descriptive study.

Authors:  Gabriella Caleres; Åsa Bondesson; Patrik Midlöv; Sara Modig
Journal:  BMC Health Serv Res       Date:  2018-10-11       Impact factor: 2.655

  9 in total

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