Effects of in-hospital rehabilitation on preventing hospital readmissions in patients with cirrhosis: a retrospective cohort study

2022 ◽  
Author(s):  
Tomohiko Kamo ◽  
Ryo Momosaki ◽  
Masato Azami ◽  
Hirofumi Ogihara ◽  
Satoshi Yuguchi ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Hospital Readmissions ◽  
Hospital Rehabilitation

Adhesion-related hospital readmissions after abdominal and pelvic surgery: a retrospective cohort study

The Lancet ◽  
1999 ◽  
Vol 353 (9163) ◽  
pp. 1476-1480 ◽  
Author(s):  
Harold Ellis ◽  
Brendan J Moran ◽  
Jeremy N Thompson ◽  
Michael C Parker ◽  
Malcolm S Wilson ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Hospital Readmissions ◽  
Pelvic Surgery

scholarly journals Rates and predictors of general practitioner (GP) follow-up postdischarge from a tertiary hospital cardiology unit: a retrospective cohort study

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e031627 ◽  
Author(s):  
Luke Y I Huang ◽  
Samuel J Fogarty ◽  
Arnold C T Ng ◽  
William Y S Wang
Keyword(s):  
Cohort Study ◽  
General Practitioner ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Hospital Readmissions ◽  
Discharge Summary ◽  
Tertiary Hospital ◽  
Single Centre ◽  
Hospital Factors

ObjectivePrevious studies in cardiac patients noted that early patient follow-up with general practitioners (GPs) after hospital discharge was associated with reduced rates of hospital readmissions. We aimed to identify patient, clinical and hospital factors that may influence GP follow-up of patients discharged from a tertiary cardiology unit.DesignSingle centre retrospective cohort study.SettingAustralian metropolitan tertiary hospital cardiology unit.Participants1079 patients discharged from the hospital cardiology unit within 3 months from May to July 2016.Outcome measuresGP follow-up rates (assessed by telephone communication with patients’ nominated GP practices), demographic, clinical and hospital factors predicting GP follow-up.ResultsWe obtained GP follow-up data on 983 out of 1079 (91.1%) discharges in the study period. Overall, 7, 14 and 30-day GP follow rates were 50.3%, 66.5% and 79.1%, respectively. A number of patient, clinical and hospital factors were associated with early GP follow-up, including pacemaker and defibrillator implantation, older age and having never smoked. Documented recommendation for follow-up in discharge summary was the strongest predictor for 7-day follow-up (p<0.001).ConclusionAfter discharge from a cardiology admission, half of the patients followed up with their GP within 7 days and most patients followed up within 30 days. Patient and hospital factors were associated with GP follow-up rates. Identification of these factors may facilitate prospective interventions to improve early GP follow-up rates.

Original and refitted HOSPITAL scores as predictors of 30-day potentially avoidable hospital readmissions: retrospective cohort study (Preprint)

2020 ◽  
Author(s):  
Nayara Cristina Da Silva ◽  
Marcelo Keese Albertini ◽  
André Ricardo Backes ◽  
Geórgia Das Graças Pena
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Hospital Readmission ◽  
Retrospective Cohort ◽  
Hospital Readmissions ◽  
Hospital Costs ◽  
Area Under The Curve ◽  
University Hospital ◽  
Predictive Capacity ◽  
Avoidable Readmission

BACKGROUND Hospital readmissions are associated with several negative health outcomes and higher hospital costs. The HOSPITAL score is one of the tools developed to identify patients at high risk of hospital readmission, but its predictive capacity in more heterogeneous populations involving different diagnoses and clinical contexts is poorly understood. OBJECTIVE The aim of this study was to propose a refitted HOSPITAL score to predict the risk of potentially avoidable readmission in 30 days and compare the predictive capacity of the original and refitted HOSPITAL score. METHODS Retrospective cohort study was carried out in a tertiary university hospital with patients over the age of 18 years. We developed a refitted HOSPITAL score with the same definitions and predictive variables included in the original HOSPITAL score and compared the predictive capacity of both. The receiver operating characteristic was constructed by comparing the performance risk forecasting tools measuring the area under the curve (AUC). RESULTS Of the 47,464 patients 50.9% were over 60 years and 58.4% were male. The frequency of 30-day potentially avoidable readmission is 7.70% (3638). The accuracy of HOSPITAL score in readmission was AUC: 0.733 (CI 95%: 0.718, 0.748) and the accuracy of HOSPITAL score refitted was AUC: 0.7401 (CI 95%: 0.7256, 0.7547). The frequency of 60, 90, 180, and 365-days readmissions ranged from 10.60% (5,033) to 18.30% (8693). Discussion: Readmission prediction tools have been developed in recent years, but its predictive capacity in more population with different diagnoses is poorly understood. CONCLUSIONS The refitted HOSPITAL score have similar discrimination to predict 30-day potentially avoidable readmission, in patients with different diagnoses. In this sense, our study expands and reinforces the usefulness of the HOSPITAL score as a tool that can be used as part of intervention strategies to reduce the rate of hospital readmission.

scholarly journals Exploring the association of the discharge medicines review with patient hospital readmissions through national routine data linkage in Wales: a retrospective cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e033551 ◽  
Author(s):  
Efi Mantzourani ◽  
Hamde Nazar ◽  
Catherine Phibben ◽  
Jessica Pang ◽  
Gareth John ◽  
...  
Keyword(s):  
Cohort Study ◽  
Community Pharmacy ◽  
Retrospective Cohort Study ◽  
Hospital Readmission ◽  
Retrospective Cohort ◽  
Cox Regression ◽  
Hospital Readmissions ◽  
Community Pharmacists ◽  
Routine Data ◽  
Secondary Outcome

ObjectiveTo evaluate the association of the discharge medicines review (DMR) community pharmacy service with hospital readmissions through linking National Health Service data sets.DesignRetrospective cohort study.SettingAll hospitals and 703 community pharmacies across Wales.ParticipantsInpatients meeting the referral criteria for a community pharmacy DMR.InterventionsInformation related to the patient’s medication and hospital stay is provided to the community pharmacists on discharge from hospital, who undertake a two-part service involving medicines reconciliation and a medicine use review. To investigate the association of this DMR service with hospital readmission, a data linking process was undertaken across six national databases.Primary outcomeRate of hospital readmission within 90 days for patients with and without a DMR part 1 started.Secondary outcomeStrength of association of age decile, sex, deprivation decile, diagnostic grouping and DMR type (started or not started) with reduction in readmission within 90 days.Results1923 patients were referred for a DMR over a 13-month period (February 2017–April 2018). Provision of DMR was found to be the most significant attributing factor to reducing likelihood of 90-day readmission using χ2 testing and classification methods. Cox regression survival analysis demonstrated that those receiving the intervention had a lower hospital readmission rate at 40 days (p<0.000, HR: 0.59739, CI 0.5043 to 0.7076).ConclusionsDMR after a hospital discharge is associated with a reduction in risk of hospital readmission within 40 days. Linking data across disparate national data records is feasible but requires a complex processual architecture. There is a significant value for integrated informatics to improve continuity and coherency of care, and also to facilitate service optimisation, evaluation and evidenced-based practice.

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