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A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Submitted:
18 October 2023
Posted:
19 October 2023
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Database | Search Strategy | Search Date | Results | Selected |
---|---|---|---|---|
Embase | ((’delayed discharges’ or ’discharge delays’ or ’bed blocking’ or ’timely discharge’ or ’unnecessary days’ or ’inappropriate stays’) and (’spain’ or ’spanish’)).mp. [mp=title, abstract, full text, caption text] |
28/03/2023 | 77 | 3 |
CINAHL+ Medline | AB (delayed discharge or delayed discharge from hospital or bed-blocking or delayed transfer of care) AND TX (spain or spanish or españa) |
28/03/2023 | 41 | 10 |
Author and Year | Study Type | Aim | Participants and Context | Main Findings |
---|---|---|---|---|
Pellico-López, Fernández-Feito et al., (2022) [18] | Descriptive, observational, cross-sectional, and retrospective study | Describing the costs and characteristics of patients diagnosed with stroke and discharged late for non-clinical reasons, and evaluating the connection between total stay duration and patient’s characteristics and care context | 443 patients diagnosed with stroke and discharged late for non-clinical reasons in the University Hospital “Marqués de Valdecilla” (HUMV, by its Spanish acronym) (2007-2015) | Delayed discharges increase the total duration of stay by approximately a week. These patients with stroke have longer hospital stays, more complex care, and higher costs than other cases of delayed discharges. |
Pellico-López, Herrero-Montes, (2022) [19] | Descriptive, observational, cross-sectional, and retrospective study | Describing the characteristics of patients deceased during delayed stays in terms of duration of hospital stay, patient’s characteristics, and care context | 198 patients deceased during their hospital stay after being discharged from the HUMV (2007-2015) | 6.57% of patients with delayed discharges for non-clinical reasons died during their hospital stay. The most common diagnosis among the deceased was simple pneumonia, likely caused by factors such as old age, comorbidity, fragility, or complications arising from hospital infections. |
Pellico-López, Fernández-Feito, Cantarero et al., (2021)[16] | Descriptive, observational, cross-sectional, and retrospective study | Quantifying the connexion between stay and its costs in hip processes with delayed discharge for non-clinical reasons | 306 patients admitted to the HUMV (2007-2015) for hip processes with delayed discharges for non-clinical reasons | Average delayed stay was 7.12 days. The cost of delayed stay amounted to €641,002.09. Up to 85.29% of patients lived in urban areas near the hospital and 3.33% had been transferred to a long-stay centre for recovery. The percentage of patients with hip procedures and delayed discharge was lower to prior reports; however, their duration of stay was longer. |
Pellico -López, Fernández-Feito et al., (2021)[17] | Descriptive, observational, cross-sectional, and retrospective study | Understanding which characteristics are common in pneumonia patients, compared to other cases of delayed discharge. | 170 patients diagnosed with pneumonia who were discharged late in the HUMV (2007-2015) | Pneumonia patients were older, less complex, and had higher death rates than the rest of the patients. |
Pellico -López et al., (2019) [11] | Descriptive, observational, cross-sectional, and retrospective study | Quantifying the number of delayed discharge cases and inappropriate hospitalisation days and identifying the use of health services linked to bed-blocking | 3015 patients with delayed discharges in the HUMV (2007-2015) | The characteristics most frequently associated with longer stays were the following: increased complexity, diagnosis implying lack of functional capacity, surgical treatment, having to wait for a destination when discharged or getting back home. Multiple-component interventions linked to discharge planning may favour inefficiency reduction minimising unnecessary stays. |
Pellico-López et al., (2018) [20] | Descriptive, retrospective study | Identifying which characteristics may influence the issue and quantifying inappropriate hospitalisation days. | This study included three public hospitals of a northern Spanish region (Cantabria), during 2010–2014. | In the period from 2010 to 2014, 1415 bed-blocking cases were found in Cantabria hospitals waiting to be admitted to long-stay hospitals. |
Rojas-García et al., (2018) [2] | Systematic review | Systematically reviewing delayed discharge experiences from the perspective of patients, health professionals and hospitals, and their impact on patients’ outcomes and costs. | 37 papers were included of which 2 were developed in Spain | Most of the research was conducted poorly which asks for precaution when considering its practical implications. The results suggest that the adverse effects of delayed discharges are both direct, due to the potential health problems they may cause to patients, and indirect owing to increased pressure on healthcare workers. |
Soria-Aledo et al., (2012) [23] | Descriptive, pre- and post-intervention, retrospective study | Reducing inappropriate admission and stays, as well as analysing the hospital costs saved by inadequate stay reduction. | 1350 stays at J. M. Morales Meseguer Hospital | Inappropriate stays considerably decreased from 24.6% to 10.4%. Inadequacy cost in the study sample dropped from 147,044 euros to 66,642 euros. |
Mendoza Giraldo et al., (2012) [10] | Unicentric, observational, open, and prospective study | Analysing discharge delays for non-medical reasons at the IM Unit of a third level hospital and establishing the clinical and socio-familial factors linked to this situation. | 164 patients admitted to the IM unit of the Virgen del Rocío University Hospital (HUVR, by its Spanish acronym) whose discharges were delayed for non-medical reasons (between 1 February 2008 and 31 January 2009). | 3.5% of discharges were delayed for non-medical reasons. Patients whose discharges were delayed were older and presented higher prevalence of acute cerebrovascular disease and problems related to alcohol or benzodiazepine consumption.The main reasons given for not being discharged were family overload and/or inability to provide care, and lack of family or social support network. |
Soria-Aledo et al., (2009) [21] | Retrospective, descriptive study | Analysing variables linked to inappropriate admissions and hospital stays, and their economic repercussions. | A total of 725 medical records and 1355 stays at J. M. Morales Meseguer Hospital were selected. | The study found 7.4% of admissions and 24.6% of stays to be inappropriate. Most common causes of inappropriate stays were diagnosis or therapeutical procedures that can be performed on an outpatient basis, waiting for test results or consultations, physician conservative attitude, bank holidays, and lack of a diagnostic or treatment plan |
Monteis-Catot et al., (2007)[24] | Pre- and post-intervention study using«adeQhos®» questionnaire | Evaluating the impact of an intervention on the percentage of inappropriate stays (IS) to verify the hypothesis that a simple information and participation intervention (adeQhos®) allows to reduce IS percentage. | Design consisting of 2 intervention groups and their corresponding control groups in acute hospitals in Catalonia (708 patients per group) | No significant reduction of hospital inadequacy was observed after a low intensity intervention. |
Rodríguez-Vera, (2003) [15] | Observational, descriptive study | Determining admissions and stays inadequacy at an IM unit using AEP (Appropriateness Evaluation Protocol) concurrent version. | 59 patients admitted to Juan Ramón Jiménez Hospital | 33% of stays was found to be inadequate. Waiting for complementary test results and interconsultations was the most common reason for inadequate stay. |
Zambrana-García et al., (2001) [22] | Observational, descriptive, and prospective study | Knowing the factors that may influence inadequate stays in an IM unit. | 1,046 of the 13,384 stays generated during 1998 in the IM unit of the Poniente Hospital. | A total of 176 stays were considered inadequate (16.8%). A logistic regression analysis revealed the main factors of stay inadequacy to be days of stay, day of the week, and diagnosis on admission. |
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