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1.
PLoS One ; 12(1): e0168757, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28045940

RESUMO

BACKGROUND: Emerging evidence from the virtual ward care model showed that multidisciplinary case management are inadequate to reduce readmissions or death for high risk patients. There is consensus that interventions should encompass both pre-hospital discharge and post-discharge transitional care to be effective. Integrated practice units (IPU) had been proposed as an approach of restructuring the organization and work processes of multidisciplinary teams to achieve value in healthcare. Our primary objective is to evaluate if the novel application of the IPU concept to organize a modified virtual ward model incorporating pre-hospital discharge transitional care can reduce readmissions of patients at highest risk for readmission. METHODS: We conducted an open label, assessor blinded randomized controlled trial on patients with one or more unscheduled readmissions in the prior 90 days and LACE score ≥ 10. 840 patients were randomized in 1:1 ratio and blocks of 6 to the intervention program (n = 420) or control (n = 420). Allocation concealment was effected via an off-site telephone service maintained by a hospital administrator. Intervention patients received discharge planning, medication reconciliation, coaching on self-management of chronic diseases using standardized action plans and an individualized care plan complete with written discharge instructions, appointments schedule, medication changes and the contact information of the outpatient VW nurse before discharge. At discharge, care is handed over to the outpatient VW team. Patients were closely monitored in the VW for three months that included a telephone review within 72 hours of discharge, home assessment, regular telephone reviews to identify early complications and early review clinics for patients who destabilize. The VW meet daily to discuss new patients and review care plans for patients. Control patients received standard hospital care that included a standardized patient copy of the hospital discharge summary listing their medical diagnoses and medications; and follow up is arranged with a primary care provider or specialist as considered necessary. The primary outcome was the unplanned readmission rate to any hospital within 30 days of discharge. Secondary outcomes included the unplanned readmission rate, emergency department (ED) attendance rate to any hospital and the probability without readmission or death up to 180 days of discharge. Length of stay and mortality rate at 90-day were compared between the two groups. Outcome data were objectively retrieved from the hospital and National Electronic Health Records by a blinded outcome assessor. FINDINGS: All patients' outcomes were included in an intention-to-treat analysis. The characteristics of both study groups were similar. Patients in the intervention group had a significant reduction in the number of 30-day readmissions, IRR 0.67 (95% CI, 0.52 to 0.86, p = 0.001) and the number of 30-day emergency department attendances, IRR 0.60 (95% CI, 0.46 to 0.79, p<0.001) compared to those receiving standard hospital care. The effectiveness was sustained at 90 and 180 days. The intervention group utilized 1164 fewer hospital bed days at 90-day post discharge. No adverse events were reported. CONCLUSION: Applying the integrated practice unit concept to the virtual ward program resulted in reduced readmissions in patients who are at highest risk of readmission.


Assuntos
Administração Hospitalar , Readmissão do Paciente , Adulto , Idoso , Simulação por Computador , Continuidade da Assistência ao Paciente , Serviço Hospitalar de Emergência , Feminino , Humanos , Comunicação Interdisciplinar , Tempo de Internação , Masculino , Reconciliação de Medicamentos , Pessoa de Meia-Idade , Modelos Organizacionais , Avaliação de Resultados em Cuidados de Saúde , Alta do Paciente , Risco , Tamanho da Amostra , Singapura , Adulto Jovem
2.
Eur J Cancer ; 49(17): 3638-47, 2013 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-23890943

RESUMO

Until recently most studies suggested that hysterectomy with ovarian conservation was associated with a decreased risk of ovarian cancer. However, several recent studies have reported modestly increased risks of ovarian cancer following hysterectomy. Given that as many as 35% of women will have a hysterectomy, the nature of the association requires clarification. We conducted a systematic review and meta-analysis of the published literature on the relationship between hysterectomy and ovarian cancer to investigate whether there has been a temporal change in the association. Twenty observational studies that have reported a quantitative assessment of the association between hysterectomy and risk of histologically-confirmed ovarian cancer were included in the meta-analysis. The overall relative risk (RR) estimate was 0.81 (95% confidence interval (CI) 0.72-0.92) suggesting hysterectomy decreases the risk of ovarian cancer. However, there was significant heterogeneity in the results (I(2) = 74%). Our exploration of sources of heterogeneity and metaregression showed that median year of cancer diagnosis of included cases explained most of the heterogeneity relative risk (RR = 0.70 (95% CI 0.65-0.76) for median year diagnosis pre 2000; RR = 1.18 (95% CI 1.06-1.31) for post 2000). This study shows that there has been a temporal shift in the association between hysterectomy and risk of ovarian cancer. One explanation may be the trend away from hysterectomy in younger women. Other speculative possibilities include the decline in oophorectomy rates and the use of oestrogen-only hormone replacement therapy in hysterectomised women. Until further evidence becomes available, clinicians should not advise women that a hysterectomy without salpingo-oophorectomy will favourably influence their future risk of ovarian cancer.


Assuntos
Histerectomia/estatística & dados numéricos , Neoplasias Ovarianas/epidemiologia , Feminino , Geografia , Humanos , Histerectomia/efeitos adversos , Neoplasias Ovarianas/etiologia , Fatores de Risco , Fatores de Tempo
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