Relevant bibliographies by topics / Admission and discharge

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Admission and discharge'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Admission and discharge"

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Freyne, Aideen, and Margo Wrigley. "Acute inpatient admissions in a community oriented old age psychiatry service." Irish Journal of Psychological Medicine 14, no. 1 (March 1997): 4–7. http://dx.doi.org/10.1017/s0790966700002810.

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AbstractObjective: This study reviewed all inpatient admissions in a community oriented old age psychiatry service with the aim of assessing the appropriateness of admission criteria, obtaining a profile of those admitted, and providing information about service utilisation.Method: A retrospective chart review of all first inpatient admissions from 1989-1993 was carried out. Information concerning sociodemographic and clinical variables, and outcome measures in terms of discharge destination, was obtained.Results: There were 205 first admissions in the study period. There were 37 patients (18%) admitted on an involuntary basis. One per cent of admissions were not assessed at home prior to admission. Six patients had no formal psychiatric disorder, of the remainder 53% had an organic, and 47% a functional psychiatric disorder. Of those admitted 68% were discharged to their original destination. Patients with dementia were more likely to be discharged to nursing homes. Other discharge destinations were also used.Conclusions: The policy of initial domiciliary assessment of all referrals prior to admission is feasible in the majority of cases. Defined admission criteria clarify reasons for admission, and ensures appropriate use of beds. The range of discharge destinations highlights the need for maintaining close ongoing links with other service providers.
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Verma, Aman, Christian Rochefort, Guido Powell, and David Buckeridge. "Hospital readmissions and the day of the week." Journal of Health Services Research & Policy 23, no. 1 (January 2018): 21–27. http://dx.doi.org/10.1177/1355819617750185.

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Objectives Patients discharged from hospitals on a Friday (Friday discharges) are readmitted sooner (a shorter time-to-emergency-readmission) than those discharged on any other day of the week. To evaluate the cost-effectiveness of increasing weekend capacity, the effect estimate of Friday discharge on time-to-emergency-readmission needs to be precise. However, precise effect estimation is complicated by the confounding effect of differing healthcare-seeking behaviour and admission practices, and therefore different admission probability, by day of the week. The objective of this research was to examine how differing admission probability by day of the week influences the effect of discharge day on time-to-emergency-readmission. Methods We used a Markov model to determine how day of the week admission probability would theoretically affect the time-to-emergency-readmission for Friday and Wednesday discharges. We tested this in a cohort of patients who have had a history of respiratory illness, using a Cox proportional hazards model to fit the time-to-emergency-readmission to any Quebec hospital as a function of the day of the week of discharge and admission. We fitted another Cox model with an additional time-varying covariate for the current day of the week, to model differing admission probabilities by day of the week. Results Our Markov model showed that if admission probability is lower on the weekends, Friday discharges will be readmitted later (longer time-to-emergency-readmission) than Wednesday discharges. Using hospital admission data, we found that Friday discharges were readmitted slightly earlier than Wednesday discharges (HR: 1.03, 95% CI: (1.02, 1.05)). After adding a time-varying covariate for the current day of the week, the length of time-to-emergency-readmission for a Friday discharge increased, but it was still earlier than a Wednesday discharge (HR: 1.04, 95% CI: (1.01, 1.07)). Conclusions The lower admission probabilities on the weekend confound the effect of Friday discharge on time-to-emergency-readmission by increasing the time-to-emergency-readmission. This confounding effect causes an underestimate of the effect of Friday discharge on time-to-emergency-readmission.
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Mortensen, P. B., and W. W. Eaton. "Predictors for readmission risk in schizophrenia." Psychological Medicine 24, no. 1 (February 1994): 223–32. http://dx.doi.org/10.1017/s0033291700026982.

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SynopsisReadmission risk was assessed at the first and subsequent discharges in a total Danish national sample consisting of 8705 first admitted patients who had been discharged alive at least once with a diagnosis of schizophrenia. Predictors for readmission risk were identified using the Cox proportional hazards model. Following the first discharge, 19% of the surviving patients had not been readmitted after 10 years of follow-up. Readmission risk increased with the number of previous admissions. At the first discharge readmission risk decreased with increasing age and was significantly predicted by clinical subtype and gender. At later discharges (5th, 10th, and 15th) the effect of these variables gradually disappeared. At the 15th discharge readmissions were mainly predicted by the duration of the latest admission and discharge periods. Both the increase in readmission risk with the number of previous admissions and the evolving pattern of predictors for readmission risk are interpreted as supporting the existence of a smaller subpopulation among schizophrenic patients with frequent relapses.
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Everard, Mark. "Diagnosis, admission, discharge." Paediatric Respiratory Reviews 10 (June 2009): 18–20. http://dx.doi.org/10.1016/s1526-0542(09)70009-0.

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McDaid, Edel, Elaine Ross, and Lisa Cogan. "88 Profiling Clinical Frailty in Older Adults in an Irish Post-Acute Care Ortho-Geriatric Unit." Age and Ageing 48, Supplement_3 (September 2019): iii17—iii65. http://dx.doi.org/10.1093/ageing/afz103.50.

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Abstract Background Clinical frailty upon admission to acute care has been shown to independently predict adverse discharge destination in geriatric patients (1). However, the prevalence of clinical frailty in post-acute care and its impact on length of stay and discharge destination has not been explored to date (2). The aims of this study were to measure clinical frailty upon admission and discharge to a post-acute Ortho-geriatric Unit (OGU) and identify its impact on length of stay (LOS) and discharge destination. Methods A retrospective data analysis was completed of all patients admitted and discharged within a 6-month period. All received routine Multidisciplinary team (MDT) rehabilitation care. Clinical Frailty was assessed within first week of admission and the week prior to discharge using the Clinical Frailty Scale (CFS). Data was analysed using Microsoft Excel. Results Fifty-four patients were admitted over the 6-month period. All were female, mean age 81 years and over half (55%) had a primary diagnosis of hip fracture (n=30). All were deemed frail on admission (CFS score >5). The Mild to Moderate (CFS 5 and CFS 6) Group (n=36) had a mean age 81.1 years, mean LOS 38.75 days, 96.6% independently mobile on discharge and 97.2% discharged home. The Severe (CFS 7 and CFS 8) Group (n=18) had a mean age 85.2 years, mean LOS 85.2 days, 59.4% independently mobile on discharge and 83.3%% discharged home. 75% (n=3) of patients that transitioned to long-term care were in the Severe Group. At discharge 54% of the total participants were deemed frail(CFS>5), 46% less compared to admission scores. Conclusion All admissions to OGU were frail. MDT rehabilitation reduced frailty levels for the majority of subjects’ in this study. Higher admission CFS scores resulted in increased LOS and a trend towards long-term care transition. Further research is warranted to evaluate the efficacy of CFS in post-acute geriatric population.
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Lewer, Dan, Brian Eastwood, Martin White, Thomas D. Brothers, Martin McCusker, Caroline Copeland, Michael Farrell, and Irene Petersen. "Fatal opioid overdoses during and shortly after hospital admissions in England: A case-crossover study." PLOS Medicine 18, no. 10 (October 5, 2021): e1003759. http://dx.doi.org/10.1371/journal.pmed.1003759.

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Background Hospital patients who use illicit opioids such as heroin may use drugs during an admission or leave the hospital in order to use drugs. There have been reports of patients found dead from drug poisoning on the hospital premises or shortly after leaving the hospital. This study examines whether hospital admission and discharge are associated with increased risk of opioid-related death. Methods and findings We conducted a case-crossover study of opioid-related deaths in England. Our study included 13,609 deaths between January 1, 2010 and December 31, 2019 among individuals aged 18 to 64. For each death, we sampled 5 control days from the period 730 to 28 days before death. We used data from the national Hospital Episode Statistics database to determine the time proximity of deaths and control days to hospital admissions. We estimated the association between hospital admission and opioid-related death using conditional logistic regression, with a reference category of time neither admitted to the hospital nor within 14 days of discharge. A total of 236/13,609 deaths (1.7%) occurred following drug use while admitted to the hospital. The risk during hospital admissions was similar or lower than periods neither admitted to the hospital nor recently discharged, with odds ratios 1.03 (95% CI 0.87 to 1.21; p = 0.75) for the first 14 days of an admission and 0.41 (95% CI 0.30 to 0.56; p < 0.001) for days 15 onwards. 1,088/13,609 deaths (8.0%) occurred in the 14 days after discharge. The risk of opioid-related death increased in this period, with odds ratios of 4.39 (95% CI 3.75 to 5.14; p < 0.001) on days 1 to 2 after discharge and 2.09 (95% CI 1.92 to 2.28; p < 0.001) on days 3 to 14. 11,629/13,609 deaths (85.5%) did not occur close to a hospital admission, and the remaining 656/13,609 deaths (4.8%) occurred in hospital following admission due to drug poisoning. Risk was greater for patients discharged from psychiatric admissions, those who left the hospital against medical advice, and those leaving the hospital after admissions of 7 days or more. The main limitation of the method is that it does not control for time-varying health or drug use within individuals; therefore, hospital admissions coinciding with high-risk periods may in part explain the results. Conclusions Discharge from the hospital is associated with an acute increase in the risk of opioid-related death, and 1 in 14 opioid-related deaths in England happens in the 2 weeks after the hospital discharge. This supports interventions that prevent early discharge and improve linkage with community drug treatment and harm reduction services.
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Lewer, Dan, Brian Eastwood, Martin White, Thomas D. Brothers, Martin McCusker, Caroline Copeland, Michael Farrell, and Irene Petersen. "Fatal opioid overdoses during and shortly after hospital admissions in England: A case-crossover study." PLOS Medicine 18, no. 10 (October 5, 2021): e1003759. http://dx.doi.org/10.1371/journal.pmed.1003759.

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Background Hospital patients who use illicit opioids such as heroin may use drugs during an admission or leave the hospital in order to use drugs. There have been reports of patients found dead from drug poisoning on the hospital premises or shortly after leaving the hospital. This study examines whether hospital admission and discharge are associated with increased risk of opioid-related death. Methods and findings We conducted a case-crossover study of opioid-related deaths in England. Our study included 13,609 deaths between January 1, 2010 and December 31, 2019 among individuals aged 18 to 64. For each death, we sampled 5 control days from the period 730 to 28 days before death. We used data from the national Hospital Episode Statistics database to determine the time proximity of deaths and control days to hospital admissions. We estimated the association between hospital admission and opioid-related death using conditional logistic regression, with a reference category of time neither admitted to the hospital nor within 14 days of discharge. A total of 236/13,609 deaths (1.7%) occurred following drug use while admitted to the hospital. The risk during hospital admissions was similar or lower than periods neither admitted to the hospital nor recently discharged, with odds ratios 1.03 (95% CI 0.87 to 1.21; p = 0.75) for the first 14 days of an admission and 0.41 (95% CI 0.30 to 0.56; p < 0.001) for days 15 onwards. 1,088/13,609 deaths (8.0%) occurred in the 14 days after discharge. The risk of opioid-related death increased in this period, with odds ratios of 4.39 (95% CI 3.75 to 5.14; p < 0.001) on days 1 to 2 after discharge and 2.09 (95% CI 1.92 to 2.28; p < 0.001) on days 3 to 14. 11,629/13,609 deaths (85.5%) did not occur close to a hospital admission, and the remaining 656/13,609 deaths (4.8%) occurred in hospital following admission due to drug poisoning. Risk was greater for patients discharged from psychiatric admissions, those who left the hospital against medical advice, and those leaving the hospital after admissions of 7 days or more. The main limitation of the method is that it does not control for time-varying health or drug use within individuals; therefore, hospital admissions coinciding with high-risk periods may in part explain the results. Conclusions Discharge from the hospital is associated with an acute increase in the risk of opioid-related death, and 1 in 14 opioid-related deaths in England happens in the 2 weeks after the hospital discharge. This supports interventions that prevent early discharge and improve linkage with community drug treatment and harm reduction services.
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Ou, Lixin, Jack Chen, Lis Young, Nancy Santiano, La-Stacey Baramy, and Ken Hillman. "Effective discharge planning - timely assignment of an estimated date of discharge." Australian Health Review 35, no. 3 (2011): 357. http://dx.doi.org/10.1071/ah09843.

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Objective. To examine the implementation of estimated date of discharge (EDD) for planned admissions and admissions via the emergency department, to assess the variance between EDD and the actual date of discharge (ADD), and to explore the determinants of delayed discharge in a tertiary referral centre, Sydney, Australia. Methods. Primary data from a convenience sample of 1958 admissions for allocation of EDDs were linked with administrative data. The window for assigning EDDs for planned admissions was 24 h, for admissions via the emergency department it was 48 h. Logistic regression models were used to examine the key factors associated with an EDD being assigned within 24 h or 48 h of an admission. An ordinal logistic regression model was used to explore the determinants of delayed discharge. Results. Only 13.4% of planned admissions and 27.5% of admissions via the emergency department were allocated a timely EDD. Older patients, patients with significant burdens of chronic morbidity (OR = 0.903; P = 0.011); and patients from a non-English-speaking background (OR = 0.711; P = 0.059) were less likely to be assigned a timely EDD. The current Charlson Index score was a significant predictor of a positive variance between EDD and ADD. Conclusions. The prevalence of the timely assignment of an EDD was low and was lowest for planned admissions. The current Charlson Index score is an effective tool for identifying patients who are more likely to experience delayed discharge. What is known about the topic? Failure to assign an EDD is one of the major barriers to implementing effective discharge. Establishing an EDD for a patient within 24 h of an admission is thought to be a measure of efficient and high quality discharge planning. What does this paper add? Older patients, patients with significant burdens of chronic morbidity, and patients from a non-English-speaking background were less likely to be assigned a timely EDD. The current Charlson Index score was a significant predictor of a positive variance between EDD and ADD. What are the implications for practitioners? A significant gap existed between policy and the implementation of assigning EDD in a large sample of discharges. Effective discharge planning may be obstructed by failure to assign an EDD at the time of admission.
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Okoh, Alexis K., Emaad Siddiqui, Cassandra Soto, Nehal Dhaduk, Sameer Hirji, Rajiv Tayal, Chunguang Chen, Leonard Y. Lee, and Mark J. Russo. "Trends in Early Discharge and Associated Costs after Transcatheter Aortic Valve Replacement: A National Perspective." Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery 16, no. 4 (June 16, 2021): 373–78. http://dx.doi.org/10.1177/15569845211013355.

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Objective The current study aims to report trends of early discharges and identify associated direct costs using a nationally representative database of real-world data experience. Methods We used nationally weighted data on all patients who had transfemoral transcatheter aortic valve replacement (TAVR) from 2012 to 2017 and discharged alive from the National Inpatient Sample. Patients were divided into early (discharge ≤3 days of admission) and late discharge. Demographics and clinical characteristics were compared. Trends in early discharge and costs associated with admissions were analyzed over the study period. Results Of the 125,188 patients identified, 59,424 (46.9%) were discharged early. The proportion of early discharge increased from 15% in early 2012 to 68% in late 2017 ( P < 0.001), with the largest increase occurring from 2014 to 2015. Overall, the average cost of TAVR decreased from $58,408 in 2012 to $49,875 in 2017 ( P < 0.001). Compared to late discharge, patients discharged early reported costs savings of ≥$20,000 over the study period. Among the early discharge group, no significant differences in costs were observed for patients discharged on 0 to 1, 2, or 3 days after the procedure. Conclusions Postoperative length of stay after TAVR has decreased dramatically within the last decade with an observed reduction in procedural costs. While discharge within 3 days appeared cost effective, no differences in costs were noted among patients discharged ≤3 days.
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Tullo, E., C. Dotchin, and S. Jaiswal. "502 OUTCOMES OF HOSPITALISED PATIENTS WITH COVID-19 SIX MONTHS AFTER INDEX ADMISSION." Age and Ageing 50, Supplement_2 (June 2021): ii14—ii18. http://dx.doi.org/10.1093/ageing/afab119.11.

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Abstract Introduction Early outcomes for hospitalised patients with covid-19, including admissions to critical care and mortality have been widely published. Less is known about the longer-term patient outcomes such as readmissions, deaths after discharge and level of care required on discharge. Methods Following an audit of 360 consecutive admissions of patients with covid-19 requiring level 1 inpatient care in spring 2020, we collated data about mortality, readmissions, and residential status for the same cohort at six months after index admission. Results The cohort had a median age of 78: 70% survived to discharge. Median length of stay was nine days (range 1–90). Of 252 patients discharged, a further 35 (14%) had died by six-month follow-up. 95 patients (38%) required at least one further hospital admission in the following six-month period. 40 (16%) of discharged patient required increased support, defined as new or increased package of care or an alternative interim or permanent change of residence. (Table 1). Table 1 emailed separately as will not transfer into this space Of the 40 patients requiring increased support on discharge, 7 (18%) died, 15 (38%) returned to their preadmission residential status, and 17 (43%) still required increased support. Conclusions Covid-19 has a high mortality rate in those admitted to hospital. Patients receiving level 1 care in hospital and surviving to discharge have a high risk of readmission or death in the following six-months. For those requiring increased support on discharge, the majority do not return to their pre-admission residential status.
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Dissertations / Theses on the topic "Admission and discharge"

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Allgar, Victoria. "Physiotherapy from admission to discharge : an exploratory study." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289094.

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Berk, Emre. "Admission and discharge policies for progressive health care facilities /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/8807.

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Hosseinzadeh, Arian. "Mining hospital admission-discharge data to discover the chance of readmission." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119734.

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The rising cost of unplanned hospital readmissions has sparked calls for identifying medical system failures, best practices, and interventions in order to reduce the incidence of avoidable readmission. Readmissions currently account for 18% of total hospital admissions among Medicare patients in the United States. Distinguishing avoidable from unavoidable readmissions is a complex problem, but tackling it can shed light on readmission determinants and contributing factors. The objective of this thesis is to gain knowledge about the role that dispensed drugs, medical procedures, and diagnostic information play in predicting the chance of readmission within thirty days from a hospital discharge, using machine learning techniques. The prediction of hospital readmission is formulated as a supervised learning problem. Two supervised learning models, Naïve Bayes and Decision Tree, are used in the thesis to predict the chance of readmission based on patients' demographic information, prescription drugs, diagnosis and procedure codes extracted from hospital discharge summaries. The empirical analysis improves the understanding of hospital readmission prediction and identifies patient subpopulations for which the readmission prediction is naturally more difficult. Comparing the performance of different methods, using AUC as the measure of performance, we found that the combination of Naïve Bayes classifier and Gini Index feature selection performs slightly better than other methods on this dataset. We also found that some diagnostic features play an important role in distinguishing outliers. Removing outliers from the entire data results in significant performance gains in the prediction of readmission.
La hausse des côuts associés avec les re-admissions non-planifiées à l'hôpital suggère que c'est très important d'identifier les détérminants de ces événements. Les re-admissions causent 18% des côuts de Medicare aux États-Unis, ce qui fait l'identification des re-admissions qui peuvent être évitées très importante. Nous formulons ce problème comme une tâche d'apprentissage supervisé. Nous utilisons deus méthodes, Naive Bayes et les Arbres de Décision, pour la prédiction des patients qui vont être re-admis, en fonctions de leurs données démographiques, les médicaments de préscription, et les codes de diagnostique et des procédures que les patients ont subis en hôpital. Nôtre analyse ameliore nos connaissances sur les facteurs détérminants pour les re-admissions non-planifiées et identifie de sous-populations de patients pour lesquelles la prédiction est plus difficile. Nous performons des comparaisons de différentes méthodes de prédiction. La combinaison de Naïve Bayes et séléction d'attributes basée sur l'index Gini donne les meilleurs résultats sur nos données. Nous avons aussi trouvé que certains attributs sont utiles pour distinguer les patients pour lesquels la prédiction est difficile. Si on élimine ces patients du jeu de données, les résultats de l'aprentissage sont meilleurs. La hausse des côuts associés avec les re-admissions non-planifiées à l'hôpital suggère que c'est très important d'identifier les détérminants de ces événements. Les re-admissions causent 18% des côuts de Medicare aux États-Unis, ce qui fait l'identification des re-admissions qui peuvent être évitées très importante. Nous formulons ce problème comme une tâche d'apprentissage supervisé. Nous utilisons deus méthodes, Naive Bayes et les Arbres de Décision, pour la prédiction des patients qui vont être re-admis, en fonctions de leurs données démographiques, les médicaments de préscription, et les codes de diagnostique et des procédures que les patients ont subis en hôpital. Nôtre analyse ameliore nos connaissances sur les facteurs détérminants pour les re-admissions non-planifiées et identifie de sous-populations de patients pour lesquelles la prédiction est plus difficile. Nous performons des comparaisons de différentes méthodes de prédiction. La combinaison de Naïve Bayes et séléction d'attributes basée sur l'index Gini donne les meilleurs résultats sur nos données. Nous avons aussi trouvé que certains attributs sont utiles pour distinguer les patients pour lesquels la prédiction est difficile. Si on élimine ces patients du jeu de données, les résultats de l'aprentissage sont meilleurs.
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Wolk, Jael Public Health &amp Community Medicine Faculty of Medicine UNSW. "Can government influence the effective development and implementation of hospital admission policy?" Awarded by:University of New South Wales. School of Public Health and Community Medicine, 2006. http://handle.unsw.edu.au/1959.4/23398.

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It has consistently been documented in many countries and sectors that there are difficulties in implementing public policy effectively. A priori, the Australian health care system is no exception to this general proposition. While governments issue directives with particular goals in mind these goals are not always met, because of the modifications, interpretations or lack of uptake by targeted populations. However it is not clear the extent to which these difficulties occur in the public hospital sector, and we lack clear empirical data on this phenomenon. This thesis investigates the effects of a state government directive on the development and implementation of elective admission policies in New South Wales public hospitals. It did this by three separate but related studies that examined the impact of the directive at the hospitals??? management and staff levels. The first two studies were quantitative and qualitative surveys of hospital managers and admission staff. The management survey aimed to ascertain the extent to which managers responded to the directive in terms of developing and implementing hospital policies. The staff survey sought to investigate staff awareness and knowledge of the developed policies. The third study was a qualitative analysis of the policy contents to determine the extent to which they reflected the aims and objectives of the government directive guidelines. All three studies found a general lack of relevance and applicability of the government directive and its guidelines to individual hospital organisations. The manager survey showed a disconnection between the central government office responsible for implementing the directive and hospital managers??? perspectives. This was apparent by the lack of response to the directive by many hospitals and the fact that managers often passed on the task of implementing the directive and its guidelines to other hospital staff. The findings of the qualitative analysis of policies showed evidence of hospital strategies to manage pressures created by the directive. These difficulties were corroborated by the surveyed staff that reported difficulties in translating the directive???s requirements (as reflected by the hospital policy), into the reality of their daily work; a lack of organisational commitment to policy enforcement; and a suspicion regarding the directive???s political motives. The findings of this thesis show that, as with other public service sectors effective policy implementation in the public hospital arena is problematic, with government agendas frequently not aligned with the requirements of stakeholders, and inadequate understanding of implementation barriers. Recommendations are made regarding methods to improve the synchronicity of political directives with organisational realties in the public hospital sector.
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Säynäjäkangas, P. (Pirjo). "Keuhkokuumeesta aiheutunut sairaalahoito Suomessa 1972-1993." Doctoral thesis, University of Oulu, 1999. http://urn.fi/urn:isbn:9514251385.

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Abstract A study is made of the volume of hospital treatment provided for cases of pneumonia in Finland from 1972 to 1993, employing as a source the National Hospital Discharge Register. The results are used to predict changes in the utilization of hospital resources in this respect up to the year 2020. A total of 452 474 treatment periods and 5 935 615 hospitalization days attributable to pneumonia were recorded for the total population over the given period, of which just under 20% applied to children aged under 15 years, over 30% to persons of working age, 15-64 years, and over 50% to elderly persons aged 65 years and over. The mean duration of hospitalization was reduced from 18.4 days to 14.3 days for males and from 19.6 days to 17.5 days for females over the period in question. The number of treatment periods for pneumonia in children per year relative to population decreased by 28.3%, the greatest reduction being in the group under one year of age, 5.7% for boys and 5.5% for girls. The mean duration of treatment decreased from 9.6 days to 4.1 days for boys and 9.7 days to 4.3 days for girls. The numbers of treatment periods and hospitalization days were consistently greater for men than for women in the working-age population, the difference between the sexes being most pronounced in the age group 15 - 24 years, where the number of treatment periods for men was 7.2 times that for women. Likewise, the number of treatment periods for men began to increase with age from 40 years onwards and that for women from 50 years onwards. The mean treatment time for patients of working-age decreased over the period studied, from 10.5 days to 8.2 days for men and from 9.9 days to 8.2 days for women. The duration of treatment similarly increased with advancing age. The absolute numbers of treatment periods increased by 139% among the elderly population, even when standardized for age, whereas the number of hospitalization days diminished. The clearest increase in treatment periods of all was recorded for men aged over 84 years, 3.16%. The mean duration of treatment increased with age in both sexes, being significantly longer for women than for men in each age group. The forecast for changes in the utilization of hospital services for the treatment of pneumonia up to the year 2020 was examined by methods based on both an age structure model and a time series model. Both predicted an increase of over 50% in the total number of treatment periods for the population as a whole, being of the order of 70% for men and 30% for women. The predicted increase in the age group over 64 years was in excess of 90% with both models. The use of hospital services for the treatment of childhood pneumonia decreased significantly over the period examined here, while the majority of the treatment periods recorded for the working-age population concerned young men or persons aged over 40 years. The most significant increase was seen in treatment periods for persons aged over 64 years, and this figure is also predicted to increase in the future, on account of the frequent use made of hospital services by the elderly in general. Preparations should be made for dealing with this increase in demand by improving treatment methods, developing the treatment system and undertaking preventive measures.
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Knott, T. Christine. "Patient admission characteristics influencing discharge destinations from a Geriatric Medicine In-Patient Unit." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq20658.pdf.

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Suiter, S. R. "Factors influencing Western Australian clinical registered nurses in discharge planning." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1995. https://ro.ecu.edu.au/theses/1166.

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A descriptive quantitative study was conducted to determine what factors nurses considered when discharge planning, and how these factors compared with factors identified in the literature as being effective in planning for discharge. This study was undertaken because with the intended Prospective Payment System (PPS) of funding to hospitals, it is essential that Western Australian Clinical Registered Nurses are able to prepare patients for discharge effectively to prevent the financial burden of cost outliers and re-admissions. Anderson and Steinberg ( 1984) in their studies of factors that influence the cost of hospital care for the elderly, found that the results of inappropriate and premature discharges resulted in a 22% readmission rate within 60 days of discharge for all Medicare hospitalisation. Their (1988) study of readmission rates of Medicare beneficiaries between 1974 and 1977 showed that the added costs associated readmissions cost the U.S. government more than US$2.5 billion per annum. It would seem probable that such a system introduced into the Australian health:care system will have the potential to produce similar effects for Western Australian patients, nurses and nursing.
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O'Reilly, Glenda. "Families in today's health care system : the experience of families during pediatric admission." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=78189.

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The purpose of this study was to explore the experiences and needs of families during the admission of a child to a paediatric ward in an acute care hospital. Qualitative research methods were used to access the caregivers' and professionals' perceptions of the culture that families experience in a paediatric in-patient setting. For this project, data collection methods included a review of the literature in the area, individual interviews with caregivers, and focus groups with paediatric health care professionals.
In the study, both parents and paediatric professionals described a multitude of experiences and needs of families during a child's admission to a paediatric ward in an acute care setting. Understanding the experiences and needs of families is important for professionals. The information collected in this study provides some insight into the culture that families experience when their child is admitted to a paediatric ward in an acute care hospital.
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Smith, Helen Mary. "Factors leading to frequent readmission to Valkenberg Hospital for patients suffering from severe mental illnesses." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=init_8222_1178701013.

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This thesis aimed to explore systematic health service problems that are related to frequent readmission of persons suffering from severe mental illnesses to Valkenberg Hospital. Reduction of acute and chronic beds in the Associated Psychiatric Hospitals, Western Cape over the past decade has led to increasing pressure for beds and rapid inpatient turnover, many of these inpatients being "
revolving door"
patients. Integration of mental health service into general health services, an intrinsic part of the comprehensive primary health care approach in South Africa, is supposed to make mental health care more accessible the public, therefore research into why patients are being frequently readmitted at secondary specialist level is indicated.
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Rogers, Lorna. "A patient management program: The evaluation of a combined pre-admission and early discharge program." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1997. https://ro.ecu.edu.au/theses/903.

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The purpose of this descriptive study was to describe the evaluation of a 'Patient Management Program'. This managed care type of program combined a Pre-Admission Clinic and an Early Discharge Program. It was established as a twelve month pilot program at a major Western Australian public teaching hospital in January 1995. It aimed to provide a more efficient health service by replacing part of elective surgical patients' inpatient care with outpatient services. The first component of the Program was the Pre-Admission Clinic, which allowed patients to undergo pre-operative assessment and testing prior to admission to hospital, thus facilitating same day of surgery admission and reducing hospitalisation by at least one day. It also enabled identification of patients unfit for surgery, allowed discharge planning to be initiated, and patient education to be undertaken. The second component of the Program was the Early Discharge Program, which aimed to facilitate patient discharge from hospital, and to provide acute post discharge care and support. The significance of it’s component was the continuity of care, as the same nursing staff who provided pre-admission assessment, education and discharge planning also provided inpatient discharge co-ordination, post discharge support, and the delivery of domiciliary nursing care.
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Books on the topic "Admission and discharge"

1

Health, National Association for Mental. Civil admission and discharge. London: MIND, 1985.

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Elderly, Scottish Health Service Advisory Council Working Group on Acute Beds andthe. Discharge planning. Edinburgh: Scottish Office Home and Health Department, Health Policy and Public Health Directorate, 1995.

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Davies, Rhys. Discharge from hospital. [London]: MIND Publications, 1995.

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Davies, Rhys. Discharge from hospital. London: Mind, 1995.

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Davies, Rhys. Civil admission to hospital. [London]: MIND Publications, 1995.

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Webster, Rae E. Intensive care: Guidelines for admission and discharge. [Edinburgh]: Scottish Office, 1994.

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Davies, Rhys. Supervised discharge and supervision registers. [London]: MIND Publications, 1997.

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Saunders, Catherine P. Promoting effective coordinated discharge of elderly hospital patients. Richmond, Va: Commonwealth of Virginia Dept. for the Aging, 1991.

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Virginia. Dept. for the Aging. and United States. Administration on Aging., eds. Promoting effective coordinated discharge of elderly hospital patients. Richmond, Va: Commonwealth of Virginia Dept. for the Aging, 1991.

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Saunders, Catherine P. Promoting effective coordinated discharge of elderly hospital patients. Richmond, Va: Commonwealth of Virginia Dept. for the Aging, 1991.

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Book chapters on the topic "Admission and discharge"

1

Annas, George J. "Admission and Discharge." In The Rights of Patients, 67–82. Totowa, NJ: Humana Press, 1992. http://dx.doi.org/10.1007/978-1-4612-0397-1_5.

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Marik, Paul Ellis. "Admission-Discharge Criteria." In Evidence-Based Critical Care, 39–45. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11020-2_7.

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Marik, Paul Ellis. "Admission–Discharge Criteria." In Handbook of Evidence-Based Critical Care, 23–29. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5923-2_5.

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Feijo, Isabelle, Steve Hoare, and Karen Sarmiento. "Admission and Discharge Planning." In Longer-Term Psychiatric Inpatient Care for Adolescents, 31–38. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1950-3_4.

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AbstractIt is essential that staff of an adolescent inpatient psychiatry unit have the capacity and authority to ensure parents and treating community clinicians support the admission, families participate in the treatment, and community clinicians participate in discharge planning and assertive follow up since these are features known to improve clinical outcomes. The chapter outlines, through the use of a hypothetical case example, the processes involved in admission to and discharge from the Walker Unit.
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Beck, Katherine, and Abigail G. Crutchlow. "WARD: From admission to discharge." In Psychiatry: Breaking the ICE, 212–20. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118557211.ch34.

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Thomas, Alan. "Depression and Anxiety: Admission and Discharge." In Mental Health and Older People, 115–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29492-6_10.

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Marik, Paul Ellis. "Intensive Care Unit Admission and Discharge Criteria." In Handbook of Evidence-Based Critical Care, 385–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-86943-3_46.

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Narayan, Mayur, and Jeffry L. Kashuk. "Admission/Discharge Criterion for Acute Care Surgery Patients in the ICU: A General Review of ICU Admission and Discharge Indications." In Intensive Care for Emergency Surgeons, 1–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11830-3_1.

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Edozien, Leroy C. "Admission to, and discharge home from, the delivery suite." In The Labour Ward Handbook, 10. 3rd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781315099897-5.

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Karthik, A. R., and Vinod Kumar. "Admission and Discharge in the Critical Care in Oncology Setting." In Onco-critical Care, 21–27. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9929-0_3.

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Conference papers on the topic "Admission and discharge"

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Dhanalakshmi, T. S., and Merin Meleet. "Predicting Clinical Re-admission using Discharge Summaries (PCRUDS)." In 2020 5th International Conference on Communication and Electronics Systems (ICCES). IEEE, 2020. http://dx.doi.org/10.1109/icces48766.2020.9137851.

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Bitencourt, Tamires Cristine, Caio Henrique Veloso da Costa, Ana Lucia de Carvalho Mello, Saulo Ramos Ribeiro, and Renan Barros Domingues. "Correlation between neurological deficit at admission and functionality at discharge of patients from a clinical hospital stroke program." In XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.593.

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Introduction: Stoke is one of the main causes of disability in Brazil, with an average hospital stay (HS) of 11 days and prolonged HS can generate functional impairment to patients. Objectives: To correlate neurological deficit at admission with functionality and days of HS. Methods: Patients were selected from the clinical program of post-stroke care, from March to December 2022 with HS time greater than or equal to 4 days. They were divided into 2 groups: Group 1, between 4 and 11 days of HS and group 2, greater than 11 days of HS. The Functional Independence Measure (FIM) and the National Institute of Health Stroke Scale (NIHSS) were applied at admission and discharge. Data analysis was performed with Microsoft Excel© 2016 with descriptive statistics, Pearson’s Correlation Test was also performed, considering P < 0.05 for the variables studied. Results: 86 subjects were included. 41 were excluded due to lack of informations in medical records, and 45 patients were analyzed. Group 1: Included 32 patients, 24 with ischemic stroke (IS), 2 hemorrhagic stroke (ICH) and 6 transient ischemic attack (TIA), 56.2% were female and 69 ± 15.2 years and 5.9 ± 15.9 days HS with 5.2 ± 4.8 points in the FIM/days of hospitalization and NIHSS admission of 2.9 ± 4.2. Group 2: 13 patients, 11 with IS, 2 ICH, 61.5% male, with 67±15.2 years, NIHSS admission of 7.3 ± 4.2, there was a gain of 1.14 ± 4.7 points in the FIM/days of hospitalization and 21.3 ± 15.7 days HS. There was a negative correlation between Days of Hospitalization and FIM/days of hospitalization (r = -0.3), Days of Hospitalization and FIM at Discharge (r = -0.57) and NIHSS admission and FIM of discharge (r = -0.6). Conclusion: We observed a correlation between neurological deficit at admission, functional outcome at discharge and time of HS related to systematized assistance to a clinical stroke program.
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Hribernik, Ales̆, Z̆elimir Dobovis̆ek, and Anton C̆ernej. "Determination of Twin-Turbine Discharge Coefficients Under Partial Admission Conditions." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/930192.

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Odish, M. F., I. D. Joel, E. M. Castillo, C. R. Tainter, R. Hsia, J. Brennan, and G. Wardi. "The Impact of Age on Sepsis Admission and Discharge Location." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a6598.

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Lin, Yu-Ting, Sheng-Lun Wei, Hen-Hsen Huang, Hui-Chih Wang, and Hsin-Hsi Chen. "Disease Classification on Admission and on Discharge with Residual CNN-Transformer." In WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3486622.3493946.

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Hejal, R. B., O. K. Giddings, A. Popa, C. V. Teba, A. R. John, T. Carman, and S. Al-Kindi. "Discharge D-Dimer and Mortality Following Admission for Coronavirus Disease 19 (COVID19)." In American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a2572.

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Ribed, A., A. Gimenez-Manzorro, I. Taladriz-Sender, S. Alvarez-Atienza, S. Martin-Lozano, MP Montero-Anton, A. Herranz-Alonso, and M. Sanjurjo-Saez. "4CPS-002 Pharmaceutical care in postoperative pain management at admission and discharge." In 28th EAHP Congress, Bordeaux, France, 20-21-22 March 2024. British Medical Journal Publishing Group, 2024. http://dx.doi.org/10.1136/ejhpharm-2024-eahp.106.

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Fontes, Juliana de Alencar, Gabriel Praxedes Freire, Gabriel Nascimento, and Pedro Antônio Pereira de Jesus. "Relationship between sodium disturbances on admission, stroke severity (NIHSS) and functional outcome (mRs)." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.648.

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Background: Hyponatremia is the most common electrolyte disturbance in hospitalized patients and is associated with several unfavorable outcomes, as it promotes cerebral edema and consequent intracranial hypertension. As isn’t clear if there is a causal relationship or if it is only a marker of severity, we described and analyzed the association between sodium disorders, especially hyponatremia, with the severity level of the stroke and the functional condition of discharge of these patients. Methods: We did a cross-sectional study with patients admitted to a stroke unit of a reference hospital in Salvador-Ba between 11/2017 and 03/2020 included in the DISPASS cohort. We classify hyponatremia as serum sodium 145mEq / L. To analyze the association between the variables, Fisher’s exact test was performed. Results: We analyzed 399 patients whose mean age was 62. The mean sodium on admission was 138.2 mEq / L, with 56 patients (14%) with hyponatremia and 11 (3%) with hypernatremia. Among those who had sodium disorders at admission (67), 32 had moderate NIHSS, 24 severe / very severe NIHSS and 11 had mild NIHSS. X² = 2.48, p = 0.443. In addition, of these 67 patients, 13 were discharged and still needed help in daily activities and to walk (mRs 4), 15 were discharged restricted to bed (mRs 5) and 6 died during hospitalization (mRs 6). Therefore, of the 17% who had sodium disorder at admission, more than half had a poor functional outcome. Among those who had hyponatremia (56), 35.7% (20) had severe / very severe stroke, 46.4% (26) had a moderate degree, while only 10 had a mild degree. X² = 1.91, p = 0.53. Conclusions: Although the Fisher Test did not show a significant association (p> 0.05), the frequencies of patients with sodium disorders at admission and classified as having high stroke severity were presented with relevant values, so it is important to carry out further studies to investigate the relationship of these variables.
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Pittman, Marcus Anthony, Angela Marney, Matilda Boa, Anthony Schirn, and Fawad Ali. "Admission Avoidance and Early Supported Discharge with Home Monitoring in COVID-19 Patients." In ERS International Congress 2021 abstracts. European Respiratory Society, 2021. http://dx.doi.org/10.1183/13993003.congress-2021.pa2120.

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Holyoak, Heather, Ningyu Chai, and Farid Bazari. "10 Completion rates of discharge summaries for patients that die during their admission to hospital." In Marie Curie Palliative Care Research Conference. British Medical Journal Publishing Group, 2019. http://dx.doi.org/10.1136/spcare-2019-mariecuriepalliativecare.10.

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Reports on the topic "Admission and discharge"

1

Chandramouli, Ramaswamy, and Glen Marshall. Admission, discharge, and transfer system projection profile (ADT-PP) (an ISO.IEC 15408 security protection profile for a healthcare IT application system). Gaithersburg, MD: National Institute of Standards and Technology, 2002. http://dx.doi.org/10.6028/nist.ir.6782.

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Miller, Kaleigh. US Guided Management of Undifferentiated Dyspneic Patient in the ED. University of Tennessee Health Science Center, March 2020. http://dx.doi.org/10.21007/com.lsp.2020.0001.

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Intro: Undifferentiated dyspnea can be a complicated presentation muddled by patient comorbidities and similar symptomology shared among etiologies. Some studies have shown increased mortality and length of stay in the hospital when incorrectly initially diagnosed in the ED. US has been shown more effective at differentiating these causes and improves diagnostic accuracy. This study will implement US exam upon initial exam of patient and chart time to diagnosis/treatment, length of stay in ED, length of stay in hospital admissions versus discharge rates, and 30 day mortality. ADHF and COPD/asthma patient differentiation will be the focus. Methods: Prospective cohort study of more than 18 years that present with the primary complaint of dyspnea with more than one complicating comorbid condition. Initial exam by physician will be accompanied by cardiothoracic US previously verified. Results: Study powered by previous year average of time to diagnosis of institution. Patient characteristics, distribution by diagnostic category, and characteristics found on US in correlation with diagnosis will be included for multivariate analysis. Conclusions: We expect to see a singificant difference in our time to diagnosis/treatment and mortality rate.
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Admission/Discharge Criteria in Speech-Language Pathology. Rockville, MD: American Speech-Language-Hearing Association, 2004. http://dx.doi.org/10.1044/policy.gl2004-00046.

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Honduras: Postpartum and postabortion patients want family planning. Population Council, 2001. http://dx.doi.org/10.31899/rh2001.1014.

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Approximately half of deliveries in Honduras take place in hospitals, however hospitals rarely offer family planning (FP) services to postpartum or postabortion patients. In 1999, the Honduran Ministry of Health and the Population Council began a two-year project to expand access to FP counseling and methods following childbirth or treatment for incomplete abortion. The intervention built upon a previous Population Council project that showed that 30 percent of women hospitalized for a delivery or an abortion-related complication were interested in adopting an FP method prior to discharge. In all five hospitals participating in the study, delivery was the principal reason for admission. Admission for abortion complications was also relatively common. The intervention consisted of training all staff members assisting postpartum and postabortion women in FP service promotion and counseling; training 65 physicians and nurses in contraceptive methodology; providing FP methods, equipment, and educational aids; and supervising activities. As detailed in this brief, when providers were trained to provide FP counseling and methods to postpartum and postabortion women, the proportion of women receiving this information doubled and the proportion who received a method tripled.
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Counseling the husbands of postabortion patients in Egypt: Effects on husband involvement, patient recovery and contraceptive use. Population Council, 1997. http://dx.doi.org/10.31899/rh1997.1017.

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An ANE OR/TA Project qualitative study conducted in 1995 probed into women’s perceptions of abortion in Egypt, and the stress that postabortion patients experience during recovery. That study drew attention to the important role husbands can play in their wives’ recovery and subsequent use of contraception. This study was designed to test the effects of involving husbands in the postabortion medical-care process. Overall, the study indicates that providing counseling to husbands of postabortion patients is feasible, as the majority of husbands either accompanied their wife on admission or at discharge from the hospital. However, administrative changes are needed to enhance the effects of counseling and encourage greater husband involvement. Family planning services should be offered on the postabortion ward. Moreover, the physical setup at the ob/gyn ward may need to be changed to allow for the presence of husbands without causing inconvenience to other women. As this report states, counseling of husbands is acceptable to both postabortion patients and their husbands. With due consideration to procedures that ensure the patient’s right to privacy, counseling husbands of postabortion patients should be considered as an element of other postabortion-care services.
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