ArticleBMJ open2015
Prevalence and temporal pattern of hospital readmissions for patients with type I and type II diabetes.
Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Prevalence of cardiovascular disease in type 2 diabetes: a systematic literature review of scientific evidence from across the world in 2007-2017.Cardiovascular diabetology · 2018Pooled it
- Heterogeneous 30-day readmission risk in diabetic kidney disease: a nationwide analysis stratified by phenotype, age, and socioeconomic status.International urology and nephrology · 2026Article
- Impact of capitation on outpatient expenses among patients with diabetes mellitus in Tianjin, China: a natural experiment.BMJ open · 2019Article
- Emergency department visits of older adults within 30 days of discharge: analysis from the pharmacotherapy perspective.Einstein (Sao Paulo, Brazil) · 2019Article
- Analysing repeated hospital readmissions using data mining techniques.Health systems (Basingstoke, England) · 2018Article
- Analysing repeated hospital readmissions using data mining techniques.Health systems (Basingstoke, England) · 2018Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveRepeated hospitalisation for patients is common and costly, yet partly preventable. However, we know little about readmissions for patients with diabetes in China. The current study aims to assess the frequency and temporal pattern of and risk factors for all-cause readmission among hospitalised patients with diabetes in Tianjin, China.
methodThis retrospective, cohort analysis used the Tianjin Basic Medical Insurance Register System data of 2011. The patterns of and the reasons for all-cause readmissions for patients with diabetes were described. The differences of readmission-free survival (RFS) between newly and previously diagnosed patients were compared. Time-dependent Cox models were established to identify the risk factors for readmission at different time intervals after discharge.
resultsReadmission rates were approximately 30%, with the most common diagnoses of cerebral infarction (for type I) or diabetes (for type II) for patients with diabetes. The majority of patients were readmitted to the hospital after more than 90 days, followed by 8-30 days (all p=0.002). Approximately 37.2% and 42.8% of readmitted patients with type I and type II diabetes were diagnosed previously, and the RFS rates for previously diagnosed patients were significantly lower than for newly diagnosed patients at any time interval after discharge. Prior history of diabetes (all p<0.05), length of stay (all p<0.01) and reimbursement ratio (90% vs >92%, all p<0.0002) were consistently associated with the RFS for patients readmitted to the hospital at <7, 8-30, 31-60 and 61-90 days.
conclusionsHospital readmissions among patients with diabetes were affected by the diagnosis status. Patient characteristics and the quality of healthcare might regulate short-interval and long-interval hospital readmission, respectively, after discharge.
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