Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology Department
Introduction: Hospitals are dealing with patients who may have clinical discharge but cannot return to their home due to non-medical issues. Material and Methods: Cross-sectional analysis of all the cases referred to the Integrated Care Network during the year 2016. Evaluation of waiting times, typo...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Ordem dos Médicos
2018-11-01
|
Series: | Acta Médica Portuguesa |
Subjects: | |
Online Access: | https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/9940 |
id |
doaj-b72a89602b014536aa0c7607b5f4b48d |
---|---|
record_format |
Article |
spelling |
doaj-b72a89602b014536aa0c7607b5f4b48d2020-11-25T02:32:41ZengOrdem dos MédicosActa Médica Portuguesa0870-399X1646-07582018-11-01311165666010.20344/amp.99404756Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology DepartmentHugo Antunes0Edgar Tavares-da-Silva1Miguel Eliseu2Belmiro Parada3Maria Cunha4António Roseiro5Arnaldo Figueiredo6Urology and Renal Transplantation Department. Coimbra University Hospital Center. Coimbra.Urology and Renal Transplantation Department. Coimbra University Hospital Center. Coimbra.Urology and Renal Transplantation Department. Coimbra University Hospital Center. Coimbra.Urology and Renal Transplantation Department. Coimbra University Hospital Center. Coimbra.Urology and Renal Transplantation Department. Coimbra University Hospital Center. Coimbra.Urology and Renal Transplantation Department. Coimbra University Hospital Center. Coimbra.Urology and Renal Transplantation Department. Coimbra University Hospital Center. Coimbra.Introduction: Hospitals are dealing with patients who may have clinical discharge but cannot return to their home due to non-medical issues. Material and Methods: Cross-sectional analysis of all the cases referred to the Integrated Care Network during the year 2016. Evaluation of waiting times, typology, reason for referral and clinical parameters. IBM SPSS 24.0 software was used for all statistical analyses. Results: In the evaluated period, 2294 patients were discharged from our department. Of these, 55 were referred to Integrated Care Network. The mean length of hospitalization of the patients referred to the network was 20.6 ± 11.4 days, and the mean overall length of hospital stay in the period analyzed was 4.8 ± 0.9 days. The mean time between hospitalization and referral for continuing care was 10.7 ± 7.2 days. The time between referral and discharge of the hospital was 10.0 ± 8.7 days. Thirty-nine (70.9%) patients were hospitalized for oncological diseases. The most common referral was to Palliative Care units (n = 16; 29.1%). Patients referred to Palliative Care units showed the largest waiting times between the referral for the network and the hospital discharge, 12.2 ± 10.51 days. We observed 289 hospitalization days with patients who had no need of specialized urological care. Discussion: In order to reduce time between referral to the network and hospital discharge, there is a need for enhanced cooperation and coordination among doctors, nurses and social workers. Conclusion: Early identification by physicians and nurses of patients who will require care after discharge will provide a better response from social workers and increased hospital performance.https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/9940GeriatricsLength of StayPalliative CareReferral and ConsultationUrology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hugo Antunes Edgar Tavares-da-Silva Miguel Eliseu Belmiro Parada Maria Cunha António Roseiro Arnaldo Figueiredo |
spellingShingle |
Hugo Antunes Edgar Tavares-da-Silva Miguel Eliseu Belmiro Parada Maria Cunha António Roseiro Arnaldo Figueiredo Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology Department Acta Médica Portuguesa Geriatrics Length of Stay Palliative Care Referral and Consultation Urology |
author_facet |
Hugo Antunes Edgar Tavares-da-Silva Miguel Eliseu Belmiro Parada Maria Cunha António Roseiro Arnaldo Figueiredo |
author_sort |
Hugo Antunes |
title |
Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology Department |
title_short |
Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology Department |
title_full |
Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology Department |
title_fullStr |
Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology Department |
title_full_unstemmed |
Supportive Care Network: Evaluation of Its Impact on the Performance of a Urology Department |
title_sort |
supportive care network: evaluation of its impact on the performance of a urology department |
publisher |
Ordem dos Médicos |
series |
Acta Médica Portuguesa |
issn |
0870-399X 1646-0758 |
publishDate |
2018-11-01 |
description |
Introduction: Hospitals are dealing with patients who may have clinical discharge but cannot return to their home due to non-medical issues.
Material and Methods: Cross-sectional analysis of all the cases referred to the Integrated Care Network during the year 2016. Evaluation of waiting times, typology, reason for referral and clinical parameters. IBM SPSS 24.0 software was used for all statistical
analyses.
Results: In the evaluated period, 2294 patients were discharged from our department. Of these, 55 were referred to Integrated Care Network. The mean length of hospitalization of the patients referred to the network was 20.6 ± 11.4 days, and the mean overall length of hospital stay in the period analyzed was 4.8 ± 0.9 days. The mean time between hospitalization and referral for continuing care was 10.7 ± 7.2 days. The time between referral and discharge of the hospital was 10.0 ± 8.7 days. Thirty-nine (70.9%) patients were hospitalized for oncological diseases. The most common referral was to Palliative Care units (n = 16; 29.1%). Patients referred to Palliative Care units showed the largest waiting times between the referral for the network and the hospital discharge, 12.2 ± 10.51 days. We observed 289 hospitalization days with patients who had no need of specialized urological care.
Discussion: In order to reduce time between referral to the network and hospital discharge, there is a need for enhanced cooperation and coordination among doctors, nurses and social workers.
Conclusion: Early identification by physicians and nurses of patients who will require care after discharge will provide a better response from social workers and increased hospital performance. |
topic |
Geriatrics Length of Stay Palliative Care Referral and Consultation Urology |
url |
https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/9940 |
work_keys_str_mv |
AT hugoantunes supportivecarenetworkevaluationofitsimpactontheperformanceofaurologydepartment AT edgartavaresdasilva supportivecarenetworkevaluationofitsimpactontheperformanceofaurologydepartment AT migueleliseu supportivecarenetworkevaluationofitsimpactontheperformanceofaurologydepartment AT belmiroparada supportivecarenetworkevaluationofitsimpactontheperformanceofaurologydepartment AT mariacunha supportivecarenetworkevaluationofitsimpactontheperformanceofaurologydepartment AT antonioroseiro supportivecarenetworkevaluationofitsimpactontheperformanceofaurologydepartment AT arnaldofigueiredo supportivecarenetworkevaluationofitsimpactontheperformanceofaurologydepartment |
_version_ |
1724818526619828224 |