Osteoporosis in Illinois : analysis of hospital discharge records from 1992 to 1995 /

"December 1997. "

Costs of surgical site infections that appear after hospital discharge

Data were collected from surgical patients in the hospital and on 4 occasions postdischarge. The incidence of postdischarge surgical site infection was 8.46%. Strong evidence showed that these infections caused minor additional costs, which contradicts existing literature. We discuss why previous studies might have overstated costs.

Hospital discharge planning in the provision of food and nutrition services for older adults post discharge

This descriptive study examined whether discharge planning ensures that food and nutrition services are provided to older adults following hospital discharge. The questionnaire was distributed to discharge planning professionals in 11 South Florida hospitals. Of the 84 respondents (88% response rate), most were female nurse case managers. Almost all reported job barriers including excessive patient loads, too many responsibilities, and limited community services. While physicians, registered nurses, social workers, physical therapists, were deemed "very important" in discharge planning,registered dietitians were not, and almost half consulted them infrequently, if at all. Over 84% said nutrition-related medical conditions/factors, "strongly influenced" discharge planning. Many did not have adequate information about nutrition-related community resources, eg, home delivered meals, food stamps, outpatient registered dietitians. Therewere no universal approaches in meeting the nutrition needs in 6 case scenarios. More communication among community services and hospitals is needed.

An evaluation of paediatric medicines reconciliation at hospital discharge into the community

OBJECTIVE: A UK national survey of primary care physicians has indicated that the medication information on hospital discharge summary was incomplete or inaccurate most of the time. Internationally, studies have shown that hospital pharmacist's interventions reduce these discrepancies in the adult population. There have been no published studies on the incidence and severity of the discrepancies of the medication prescribed for children specifically at discharge to date. The objectives of this study were to investigate the incidence, nature and potential clinical severity of medication discrepancies at the point of hospital discharge in a paediatric setting. METHODS: Five weeks prospective review of hospital discharge letters was carried out. Medication discrepancies between the initial doctor's discharge letter and finalised drug chart were identified, pharmacist changes were recorded and their severity was assessed. The setting of the review was at a London, UK paediatric hospital providing local secondary and specialist tertiary care. The outcome measures were: - incidence and the potential clinical severity of medication discrepancies identified by the hospital pharmacist at discharge. KEY FINDINGS: 142 patients (64 female and 78 males, age range 1 month - 18 years) were discharged on 501 medications. The majority of patients were under the care of general surgery and general paediatric teams. One in three discharge letters contained at least one medication discrepancy and required pharmacist interventions to rectify prior to completion. Of these, 1 in 10 had the potential for patient harm if undetected. CONCLUSIONS: Medicines reconciliation by pharmacist at discharge may be a good intervention in preventing medication discrepancies which have the potential to cause moderate harm in paediatric patients.

Medicines reconciliation at the point of hospital discharge for children

Objectives: Hospital discharge is a transition of care, where medication discrepancies are likely to occur and potentially cause patient harm. The purpose of our study was to assess the prescribing accuracy of hospital discharge medication orders at a London, UK teaching hospital. The timeliness of the discharge summary reaching the general practitioner (GP, family physician) was also assessed based on the 72 h target referenced in the Care Quality Commission report.1 Method: 501 consecutive discharge medication orders from 142 patients were examined and the following records were compared (1) the final inpatient drug chart at the point of discharge, (2) printed signed copy of the initial to take away (TTA) discharge summary produced electronically by the physician, (3) the pharmacist's amendments on the initial TTA that were hand written, (4) the final electronic patient discharge summary record, (5) the patients final take home medication from the hospital. Discrepancies between the physician's order (6) and pharmacist's change(s) (7) were compared with two types of failures – ‘failure to make a required change’ and ‘change where none was required’. Once the patient was discharged, the patient's GP, was contacted 72 h after discharge to see if the patient discharge summary, sent by post or via email, was received. Results: Over half the patients seen (73 out of 142) patients had at least one discrepancy that was made on the initial TTA by the doctor and amended by the pharmacist. Out of the 501 drugs, there were 140 discrepancies, 108 were ‘failures to make a required change’ (77%) and 32 were ‘changes where none were required’ (23%). The types of ‘failures to make required changes’ discrepancies that were found between the initial TTA and pharmacist's amendments were paracetamol and ibuprofen changes (dose banding) 38 (27%), directions of use 34 (24%), incorrect formulation of medication 28 (20%) and incorrect strength 8 (6%). The types of ‘changes where none were required discrepancies’ were omitted medication 15 (11%), unnecessary drug 14 (10%) and incorrect medicine including spelling mistakes 3 (2%). After contacting the GPs of the discharged patients 72 h postdischarge; 49% had received the discharge summary and 45% had not, the remaining 6% were patients who were discharged without a GP. Conclusion: This study shows that doctor prescribing at discharge is often not accurate, and interventions made by pharmacist to reconcile are important at this point of care. It was also found that half the discharge summaries had not reached the patient's family physician (according to the GP) within 72 h.

Left ventricular Systolic function and outcome after in-hospital cardiac arrest

Background - The effect of prearrest left ventricular ejection fraction ( LVEF) on outcome after cardiac arrest is unknown. Methods and Results - During a 26-month period, Utstein-style data were prospectively collected on 800 consecutive inpatient adult index cardiac arrests in an observational, single-center study at a tertiary cardiac care hospital. Prearrest echocardiograms were performed on 613 patients ( 77%) at 11 +/- 14 days before the cardiac arrest. Outcomes among patients with normal or nearly normal prearrest LVEF ( >= 45%) were compared with those of patients with moderate or severe dysfunction ( LVEF < 45%) by chi(2) and logistic regression analyses. Survival to discharge was 19% in patients with normal or nearly normal LVEF compared with 8% in those with moderate or severe dysfunction ( adjusted odds ratio, 4.8; 95% confidence interval, 2.3 to 9.9; P < 0.001) but did not differ with regard to sustained return of spontaneous circulation ( 59% versus 56%; P = 0.468) or 24-hour survival ( 39% versus 36%; P = 0.550). Postarrest echocardiograms were performed on 84 patients within 72 hours after the index cardiac arrest; the LVEF decreased 25% in those with normal or nearly normal prearrest LVEF ( 60 +/- 9% to 45 +/- 14%; P < 0.001) and decreased 26% in those with moderate or severe dysfunction ( 31 +/- 7% to 23 +/- 6%, P < 0.001). For all patients, prearrest beta-blocker treatment was associated with higher survival to discharge ( 33% versus 8%; adjusted odds ratio, 3.9; 95% confidence interval, 1.8 to 8.2; P < 0.001). Conclusions - Moderate and severe prearrest left ventricular systolic dysfunction was associated with substantially lower rates of survival to hospital discharge compared with normal or nearly normal function.

Outcome of stroke patients admitted to intensive care: Experience from an Australian teaching hospital

The objective of this study was to determine the mortality rate and the functional outcomes of stroke patients admitted to the intensive care unit (ICU) and to identify predictors of poor outcome in this population. The records of all patients admitted to the ICU with the diagnosis of stroke between January 1994 and December 1999 were reviewed. Patients with subarachnoid haemorrhage were excluded. Data were collected on clinical and biological variables, risk factors for stroke and the presence of comorbidities. Mortality (ICU, in-hospital and three-month) and functional outcome were used as end-points. In the six-year-period, 61 patients were admitted to the ICU with either haemorrhagic or ischaemic stroke. Medical records were available for only 58 patients. There were 23 ischaemic and 35 haemorrhagic strokes. The ICU, in-hospital and three-month mortality rates were 36%, 47% and 52% respectively. There were no significant differences in the prevalence of premorbid risk factors between survivors and non-survivors. The mean Barthel score was significantly different between the independent and dependent survivors (94 +/- 6 vs 45 +/- 26, P < 0.001). A substantial number of patients with good functional outcomes had lower Rankin scores (92% vs 11%, P < 0.001). Only 46% of those who were alive at three months were functionally independent. Intensive care admission was associated with a high mortality rate and a high likelihood of dependent lifestyle after hospital discharge. Haemorrhagic stroke, fixed dilated pupil(s) and GCS < 10 during assessment were associated with increased mortality and poor functional outcome.

Post-discharge surveillance: can patients reliably diagnose surgical wound infections?

Post-discharge surgical wound infection surveillance is an important part of many infection control programs. It is frequently undertaken by patient self-assessment, prompted either by a telephone or postal questionnaire. To assess the reliability of this method, 290 patients were followed for six weeks post-operatively. Their wounds were photographed and also covertly assessed for signs of infection by two experienced infection control nurses (ICNs). Patients also responded to a postal questionnaire seeking evidence of infection at both week four and week six post-surgery. Correlation between the patient's assessment of their wound and the ICNs diagnosis was poor (r = 0. 37) with a low positive predictive value (28.7%), although negative predictive value was high (98.2%). Assessment of photos for signs of infection by two experienced clinicians also correlated poorly with the ICNs diagnosis of infection (r = 0.54). The patient's recall of prescription of an antibiotic by their general practitioner (GP) for wound infection during the postoperative period correlated best with the ICNs diagnosis (r = 0.76). This latter measure, particularly when confirmed by the GP in those patients reporting an infection, appears to provide the most valid and resource efficient marker of post-discharge surgical wound infection.

The association between serum potassium at hospital admission and the case-fatality rate of leptospirosis in men

Severe leptospirosis affects predominantly males and presents a high susceptibility to hypokalemic acute renal failure. As hypokalemia and hyperkalemia induce severe complications, it is important to evaluate if the initial serum potassium is an independent risk factor for death in leptospirosis. The medical records of 1016 patients hospitalized with the diagnosis of leptospirosis were reviewed. The analysis was restricted to 442, according to the following criteria: male, 18 years or older, information about death or hospital discharge and recorded values of serum potassium, serum creatinine and duration of symptoms at admission. Potassium values lower than 3.5 mEq/L (hypoK), 3.5-5 mEq/L (normoK) and above 5 mEq/L (hyperK) were detected in 180, 245 and 17 patients, respectively. The death rate increased with serum potassium: 11.1% in the hypoK, 14.7% in the normoK and 47.1% in the hyperK group (p = 0.002). In a logistic regression model (normoK as referent), including age, creatinine and duration of symptoms, hypoK was not associated with increased death rate (odds ratio (OR) = 0.80; p > 0.1). On the other hand, hyperK showed a significant association with increased risk of death (OR = 3.95, p = 0.021). In conclusion, in this sample of men with leptospirosis initial serum potassium was positively and independently correlated with the risk of in-hospital death.

Modeling in-Hospital Patient Survival During the First 28 Days After Intensive Care Unit Admission: a Prognostic Model for Clinical Trials in General Critically Ill Patients

OBJECTIVE: The objective of the study was to develop a model for estimating patient 28-day in-hospital mortality using 2 different statistical approaches. DESIGN: The study was designed to develop an outcome prediction model for 28-day in-hospital mortality using (a) logistic regression with random effects and (b) a multilevel Cox proportional hazards model. SETTING: The study involved 305 intensive care units (ICUs) from the basic Simplified Acute Physiology Score (SAPS) 3 cohort. PATIENTS AND PARTICIPANTS: Patients (n = 17138) were from the SAPS 3 database with follow-up data pertaining to the first 28 days in hospital after ICU admission. INTERVENTIONS: None. MEASUREMENTS AND RESULTS: The database was divided randomly into 5 roughly equal-sized parts (at the ICU level). It was thus possible to run the model-building procedure 5 times, each time taking four fifths of the sample as a development set and the remaining fifth as the validation set. At 28 days after ICU admission, 19.98% of the patients were still in the hospital. Because of the different sampling space and outcome variables, both models presented a better fit in this sample than did the SAPS 3 admission score calibrated to vital status at hospital discharge, both on the general population and in major subgroups. CONCLUSIONS: Both statistical methods can be used to model the 28-day in-hospital mortality better than the SAPS 3 admission model. However, because the logistic regression approach is specifically designed to forecast 28-day mortality, and given the high uncertainty associated with the assumption of the proportionality of risks in the Cox model, the logistic regression approach proved to be superior.