General practitioner response to elderly patients discharged from hospital.

OBJECTIVE--To determine the effect of discharge information given to general practitioners on their management of newly discharged elderly patients. DESIGN--A random sample of 133 elderly patients who had unplanned readmission to a district general hospital within 28 days of discharge was compared with a matched control sample of patients who were not readmitted. Information was gathered from the hospital, the patients, the carers, and the general practitioners about the information that the hospital had sent the general practitioner and the general practitioners'' response to this information. SETTING--All specialties in a district general hospital. PATIENTS--266 Patients aged over 65 representative in the main demographic indices of the population of elderly patients admitted to hospital. RESULTS--Ten weeks after discharge the doctors had received notice of discharge about 169 of the patients, but fewer than half the discharge notices were received within the first week. General practitioners were dissatisfied with the information in 60 cases. A general practitioner visited 174 of the patients after their discharge from hospital and three quarters of the visits took place within two weeks of the discharge. These visits were more likely to have been initiated by patients or families than by the doctor, and this was not influenced by the doctor receiving notice of the patient''s discharge. Older patients and those who had carers were the most likely to be visited. Nearly half of the carers were dissatisfied with some aspect of general practitioner care, problems with home visiting being the commonest source of complaint. CONCLUSIONS--Hospital communications to general practitioners about the discharge of elderly patients still cause concern, particularly in the time they take to arrive. Written instruction to vulnerable elderly patients asking them to inform their general practitioner of the discharge might be helpful. Carers complained of lack of support, and it is clearly important for someone (either the general practitioner or another health worker) to visit elderly people shortly after their discharge.     

The TAPS project. 17: Readmission to hospital for long term psychiatric patients after discharge to the community.

OBJECTIVE--To identify risk factors which increase the likelihood of readmission for long stay psychiatric patients after discharge from hospital. DESIGN--Follow up for five years of all long stay patients discharged from two large psychiatric hospitals to compare patients readmitted and not readmitted. SETTING--Friern and Claybury Hospitals in north London and their surrounding catchment areas. Most patients were discharged to staffed or unstaffed group homes. SUBJECTS--357 psychiatric patients who had been in hospital for over one year, of whom 118 were "new" long stay and 239 "old" long stay patients. MAIN OUTCOME MEASURES--Readmission to hospital and length of subsequent stay. RESULTS--Of all discharged patients 97 (27%) were readmitted at some time during the follow up period, 57 (16%) in the first year after discharge, and 31 (9%) then remained in hospital for over a year. The best explanatory factors for readmission were: male sex, younger age group, high number of previous admissions, higher levels of symptomatic and social behavioural disturbance, a diagnosis of manic-depressive psychosis, and living in a non-staffed group home. CONCLUSIONS--During the closure of psychiatric hospitals, facilities need to be preserved for acute relapses among long term, and especially younger, discharged patients. Staffed group homes may help prevent relapse and reduce the number of admission beds required.     

Psychiatric hospitalization in Ontario: the revolving door in perspective.

Ontario government statistics have indicated that during the 1960s the proportion of readmissions to psychiatric hospitals doubled to form two thirds of all admissions. Since this pertained to events rather than to individuals, a cohort of patients first admitted in 1969 was followed for 4 years to trace the pattern of readmission and the characteristics of patients at risk of readmission. Routinely returned data were linked and a sample from the greater metropolitan Toronto area was randomly selected. Of the cohort, 31% were readmitted, 8% three or more times. Age and diagnosis distinguished those readmitted. Most with multiple readmissions were under 25 years of age. Although diagnoses were equally distributed on first admission among psychotic, neurotic and other nonpsychotic disorders, with no significant change on readmission or multiple readmission, there was a predictably greater proportion of functional psychoses among the high-risk group and also an equal representation of personality, addictive and the remaining nonpsychotic conditions. The vulnerable few are identifiable early in their intermittent hospital career. It can be concluded that statistics suggesting that two thirds of admissions are readmissions are misleading.     

Increasing Short-Stay Unplanned Hospital Admissions among Children in England; Time Trends Analysis ’97–‘06

Background

Timely care by general practitioners in the community keeps children out of hospital and provides better continuity of care. Yet in the UK, access to primary care has diminished since 2004 when changes in general practitioners'' contracts enabled them to ‘opt out’ of providing out-of-hours care and since then unplanned pediatric hospital admission rates have escalated, particularly through emergency departments. We hypothesised that any increase in isolated short stay admissions for childhood illness might reflect failure to manage these cases in the community over a 10 year period spanning these changes.

Methods and Findings

We conducted a population based time trends study of major causes of hospital admission in children <10 years using the Hospital Episode Statistics database, which records all admissions to all NHS hospitals in England using ICD10 codes. Outcomes measures were total and isolated short stay unplanned hospital admissions (lasting less than 2 days without readmission within 28 days) from 1997 to 2006. Over the period annual unplanned admission rates in children aged <10 years rose by 22% (from 73.6/1000 to 89.5/1000 child years) with larger increases of 41% in isolated short stay admissions (from 42.7/1000 to 60.2/1000 child years). There was a smaller fall of 12% in admissions with length of stay of >2 days. By 2006, 67.3% of all unplanned admissions were isolated short stays <2 days. The increases in admission rates were greater for common non-infectious than infectious causes of admissions.

Conclusions

Short stay unplanned hospital admission rates in young children in England have increased substantially in recent years and are not accounted for by reductions in length of in-hospital stay. The majority are isolated short stay admissions for minor illness episodes that could be better managed by primary care in the community and may be evidence of a failure of primary care services.     

Are readmissions avoidable?

OBJECTIVE--To examine the possible use of readmission rates as an outcome indicator of hospital inpatient care by investigating avoidability of unplanned readmissions within 28 days of discharge. DESIGN--Retrospective analysis of a stratified random sample of case notes of patients with an unplanned readmission between July 1987 and June 1988 by nine clinical assessors (263 assessments) and categorisation of the readmission as avoidable, unavoidable, or unclassifiable. SETTING--District in North East Thames region. 481 General medical, geriatric, and general surgical inpatients with a readmission at 0-6 days or 21-27 days after the first (index) discharge between July 1987 and June 1988 from whom 100 case notes were selected randomly and of which 74 were available for study. MAIN OUTCOME MEASURES--Assessment of readmissions as avoidable, unavoidable, unclassifiable, variability of assessment within cases and variability among assessors according to specialty and duration to readmission. RESULTS--General medical and geriatric readmissions and surgical readmissions at 0-6 days after discharge were more likely to be assessed as avoidable than those at 21-27 days (medical readmissions 32 v 6%, surgical admissions 49 v 19%). General surgical readmissions were significantly more frequently assessed as avoidable than general medical and geriatric readmissions. The extent of agreement between doctors varied, with general medical and geriatric readmissions at 21-27 days after first discharge causing the greatest variability of judgment. CONCLUSIONS--Differences were apparent in the extent of avoidability of readmissions in different groups of admissions. However, assessors rated only 49.3% of the group with the highest proportion of avoidable admissions (surgical readmissions at 0-6 days) as avoidable. The remainder were thought to be unavoidable except for 2%, which could not be classified. The use of readmission rates as an outcome indicator of hospital inpatient care should be avoided.     

Hospital Readmission Prevalence and Analysis of Those Potentially Avoidable in Southern Italy

Background

One quality indicator of hospital care, which can be used to judge the process of care, is the prevalence of hospital readmission because it reflects the impact of hospital care on the patient’s condition after discharge. The purposes of the study were to measure the prevalence of hospital readmissions, to identify possible factors that influence such readmission and to measure the prevalence of readmissions potentially avoidable in Italy.

Methods

A sample of 2289 medical records of patients aged 18 and over admitted for medical or surgical illness at one 502-bed community non-teaching hospital were randomly selected.

Results

A total of 2252 patients were included in the final analysis, equaling a response rate of 98.4%. The overall hospital readmission prevalence within 30 days of discharge was 10.2%. Multivariate logistic regression analysis revealed that the proportion of patients readmitted within 30 days of discharge significantly increased regardless of Charlson et al. comorbidity score, among unemployed or retired patients, and in patients in general surgery. A total of 43.7% hospital readmissions were judged to be potentially avoidable. Multivariate logistic regression analysis showed that potentially avoidable readmissions were significantly higher in general surgery, in patients referred to hospital by an emergency department physician, and in those with a shortened time between discharge and readmission.

Conclusion

Additional research on intervention or bundle of interventions applicable to acute inpatient populations that aim to reduce potentially avoidable readmissions is strongly needed, and health care providers are urged to implement evidence-based programs for more cost-effective delivery of health care.     

A decade of diabetes: keeping children out of hospital.

OBJECTIVES--To document the number of children aged less than 15 years who developed diabetes and were managed within one large health district, and to evaluate the outcome of those children managed without hospital admission at diagnosis. DESIGN--A retrospective study over 1979-88, when a paediatrician and a physician with special interests in childhood diabetes initiated joint clinics. Data collected from the district diabetes register and files of consultants and health visitors specialising in diabetes. SETTING--Referral of children to consultants in Leicestershire (total population 863,000). MAIN OUTCOME MEASURES--The proportion of children managed without hospital admission, comparison of readmission rates and glycated haemoglobin concentrations between children admitted and those not admitted. RESULTS--Over 10 years 236 children aged 10-14 years developed diabetes (annual incidence rate 12.8/100,000 child population (95% confidence interval 11.3 to 14.7)). In total 138 were not admitted to hospital but received supervised management based at home. Admitted children were younger or acidotic or their family doctors did not contact the diabetes team. Duration of admission declined from seven days in 1979-80 to three days in 1987-8. Ninety two were not admitted to hospital during the 10 years for any reason. Significantly fewer children who received management at home were readmitted for reasons related to diabetes than the group treated in hospital (30 (22%) v 40 (41%); p = 0.004). Concentrations of glycated haemoglobin were no different between the two groups. CONCLUSIONS--Children with newly diagnosed diabetes may be safely and effectively managed out of hospital. Domiciliary or community based management depends on the commitment of consultants specialising in diabetes working in close cooperation with general practitioners, specialist nurses in diabetes, and dietitians.     

Reduction in hospital readmission stay of elderly patients by a community based hospital discharge scheme: a randomised controlled trial.

STUDY OBJECTIVE--To compare a community support scheme using care attendants with standard aftercare for their effects on independence and morale of elderly patients discharged from hospital and on their use of health and social services. DESIGN--Randomised controlled study of cohort of patients over 75 discharged to their own homes. SETTING--District general hospital and community. PATIENTS--Total of 903 patients (mean age 82, 25% over 85). INTERVENTIONS--Total of 464 patients received support from care attendants on first day at home and for up to 12 hours a week for two weeks. Support comprised practical care, help with rehabilitation, and organising social help. The remaining 439 patients received standard aftercare. END POINT--Difference between two groups of 7% in hospital readmission rates or one point on activities of daily living scale (power 80%, significance level 5%). MEASUREMENTS AND MAIN RESULTS--Three months after the initial discharge 763 patients were interviewed (84%). There were no significant differences between the two groups in physical independence (activities of daily living scale), in measures of morale (Philadelphia scale), or in death rates. Hospital readmission rates within 18 months of discharge, however, were significantly higher in the control group and they spent more days in hospital (mean; control group 30.6 days, support group 17.1 days; p = 0.014). Of the patients living alone who were followed up for 18 months 21 (15%) receiving standard aftercare were readmitted more than twice compared with 6 (5%) supported by care attendants (p less than 0.01). CONCLUSIONS--If the findings are confirmed, and the policy extended to all patients over the age of 75 living alone, an average health district might expect either to save about 23 hospital beds at a net annual saving of about pounds 220,000 in the short term or to increase available beds by this number.     

Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community

Background

Readmissions to hospital are common, costly and often preventable. An easy-to-use index to quantify the risk of readmission or death after discharge from hospital would help clinicians identify patients who might benefit from more intensive post-discharge care. We sought to derive and validate an index to predict the risk of death or unplanned readmission within 30 days after discharge from hospital to the community.

Methods

In a prospective cohort study, 48 patient-level and admission-level variables were collected for 4812 medical and surgical patients who were discharged to the community from 11 hospitals in Ontario. We used a split-sample design to derive and validate an index to predict the risk of death or nonelective readmission within 30 days after discharge. This index was externally validated using administrative data in a random selection of 1 000 000 Ontarians discharged from hospital between 2004 and 2008.

Results

Of the 4812 participating patients, 385 (8.0%) died or were readmitted on an unplanned basis within 30 days after discharge. Variables independently associated with this outcome (from which we derived the nmemonic “LACE”) included length of stay (“L”); acuity of the admission (“A”); comorbidity of the patient (measured with the Charlson comorbidity index score) (“C”); and emergency department use (measured as the number of visits in the six months before admission) (“E”). Scores using the LACE index ranged from 0 (2.0% expected risk of death or urgent readmission within 30 days) to 19 (43.7% expected risk). The LACE index was discriminative (C statistic 0.684) and very accurate (Hosmer–Lemeshow goodness-of-fit statistic 14.1, p = 0.59) at predicting outcome risk.

Interpretation

The LACE index can be used to quantify risk of death or unplanned readmission within 30 days after discharge from hospital. This index can be used with both primary and administrative data. Further research is required to determine whether such quantification changes patient care or outcomes.Readmission to hospital and death are adverse patient outcomes that are serious, common and costly.^1,2 Several studies suggest that focused care after discharge can improve post-discharge outcomes.^3–7 Being able to accurately predict the risk of poor outcomes after hospital discharge would allow health care workers to focus post-discharge interventions on patients who are at highest risk of poor post-discharge outcomes. Further, policy-makers have expressed interest in either penalizing hospitals with relatively high rates of readmission or rewarding hospitals with relatively low expected rates.⁸ To implement this approach, a validated method of standardizing readmission rates is needed.⁹Two validated models for predicting risk of readmission after hospital discharge have been published.^10,11 However, these models are impractical to clinicians. Both require area-level information (e.g., neighbourhood socio-economic status and community-specific rates of admission) that is not readily available. Getting this information requires access to detailed tables, thereby making the model impractical. Second, both models are so complex that risk estimates cannot be attained from them without the aid of special software. Although these models have been used by health-system planners in the United Kingdom, we are unaware of any clinicians who use them when preparing patients for hospital discharge.Our primary objective was to derive and validate a clinically useful index to quantify the risk of early death or unplanned readmission among patients discharged from hospital to the community.     

A pilot study on the effect of advance care planning implementation on healthcare utilisation and satisfaction in patients with advanced heart failure

BackgroundPatients with advanced heart failure may benefit from palliative care, including advance care planning (ACP). ACP, which can include referral back to the general practitioner (GP), may prevent unbeneficial hospital admissions and interventional/surgical procedures that are not in accordance with the patient’s personal goals of care.AimTo implement ACP in patients with advanced heart failure and explore the effect of ACP on healthcare utilisation as well as the satisfaction of patients and cardiologists.MethodsIn this pilot study, we enrolled 30 patients with New York Heart Association class III/IV heart failure who had had at least one unplanned hospital admission in the previous year because of heart failure. A structured ACP conversation was held and documented by the treating physician. Primary outcome was the number of visits to the emergency department and/or admissions within 3 months after the ACP conversation. Secondary endpoints were the satisfaction of patients and cardiologists as established by using a five-point Likert scale.ResultsMedian age of the patients was 81 years (range 33–94). Twenty-seven ACP documents could be analysed (90%). Twenty-one patients (78%) did not want to be readmitted to the hospital and subsequently none of them were readmitted during follow-up. Twenty-two patients (81%) discontinued all hospital care. All patients who died during follow-up (n = 12, 40%) died at home. Most patients and cardiologists indicated that they would recommend the intervention to others (80% and 92% respectively).ConclusionACP, and subsequent out-of-hospital care by the GP, was shown to be applicable in the present study of patients with advanced heart failure and evident palliative care needs. Patients and cardiologists were satisfied with this intervention.     

Incidence of potentially avoidable urgent readmissions and their relation to all-cause urgent readmissions

Background:

Urgent, unplanned hospital readmissions are increasingly being used to gauge the quality of care. We reviewed urgent readmissions to determine which were potentially avoidable and compared rates of all-cause and avoidable readmissions.

Methods:

In a multicentre, prospective cohort study, we reviewed all urgent readmissions that occurred within six months among patients discharged to the community from 11 teaching and community hospitals between October 2002 and July 2006. Summaries of the readmissions were reviewed by at least four practising physicians using standardized methods to judge whether the readmission was an adverse event (poor clinical outcome due to medical care) and whether the adverse event could have been avoided. We used a latent class model to determine whether the probability that each readmission was truly avoidable exceeded 50%.

Results:

Of the 4812 patients included in the study, 649 (13.5%, 95% confidence interval [CI] 12.5%–14.5%) had an urgent readmission within six months after discharge. We considered 104 of them (16.0% of those readmitted, 95% CI 13.3%–19.1%; 2.2% of those discharged, 95% CI 1.8%–2.6%) to have had a potentially avoidable readmission. The proportion of patients who had an urgent readmission varied significantly by hospital (range 7.5%–22.5%; χ² = 92.9, p < 0.001); the proportion of readmissions deemed avoidable did not show significant variation by hospital (range 1.2%–3.7%; χ² = 12.5, p < 0.25). We found no association between the proportion of patients who had an urgent readmission and the proportion of patients who had an avoidable readmission (Pearson correlation 0.294; p = 0.38). In addition, we found no association between hospital rankings by proportion of patients readmitted and rankings by proportion of patients with an avoidable readmission (Spearman correlation coefficient 0.28, p = 0.41).

Interpretation:

Urgent readmissions deemed potentially avoidable were relatively uncommon, comprising less than 20% of all urgent readmissions following hospital discharge. Hospital-specific proportions of patients who were readmitted were not related to proportions with a potentially avoidable readmission.Urgent, unplanned hospital readmissions are increasingly being used to measure institutional or regional quality of care.^1–4 The public reporting of readmissions and their use in considerations for funding suggest a belief that readmissions indicate the quality of care provided by particular institutions. However, urgent readmissions are an informative metric only if we know what proportion of them are avoidable. If they are rarely avoidable, they would be a poor gauge of the quality of patient care.Current estimates of the proportion of urgent readmissions that are avoidable are unreliable. In a systematic review of 34 studies that reviewed how many readmissions were avoidable, 3 of the studies relied solely on combinations of administrative diagnostic codes, and most used undefined or subjective criteria.⁵ In addition, most of the studies were conducted at a single centre and used only one reviewer. The proportion of readmissions deemed avoidable varied widely, from 5.1%⁶ to 78.9%,⁷ which reflected in part the lack of standardized and reliable methods to identify avoidable readmissions.We conducted a multicentre prospective cohort study to elicit judgments from multiple practising physicians who used standard implicit review methods to determine whether urgent readmissions were potentially avoidable. We analyzed these judgments using a latent class analysis. We also measured the proportion of readmissions deemed avoidable and compared hospital-specific proportions of all-cause and avoidable readmissions.     

The need for acute,subacute, and nonacute care at 105 general hospital sites on Ontario

BACKGROUND: Previous studies of hospital utilization have not taken into account the use of acute care beds for subacute care. The authors determined the proportion of patients who required acute, subacute and nonacute care on admission and during their hospital stay in general hospitals in Ontario. From this analysis, they identified areas where the efficiency of care delivery might be improved. METHODS: Ninety-eight of 189 acute care hospitals in Ontario, at 105 sites, participated in a review that used explicit criteria for rating acuity developed by Inter-Qual Inc., Marlborough, Mass. The records of 13,242 patients who were discharged over a 9-month period in 1995 after hospital care for 1 of 8 high-volume, high-variability diagnoses or procedures were randomly selected for review. Patients were categorized on the basis of the level of care (acute, subacute or nonacute) they required on admission and during subsequent days of hospital care. RESULTS: Of all admissions, 62.2% were acute, 19.7% subacute and 18.1% nonacute. The patients most likely to require acute care on admission were those with acute myocardial infarction (96.2% of 1826 patients) or cerebrovascular accident (84.0% of 1596 patients) and those admitted for elective surgery on the day of their procedure (73.4% of 3993 patients). However, 41.1% of patients awaiting hip or knee replacement were admitted the day before surgery so did not require acute care on admission. The proportion of patients who required acute care on admission and during the subsequent hospital stay declined with age; the proportion of patients needing nonacute care did not vary with age. After admission, acute care was needed on 27.5% of subsequent days, subacute care on 40.2% and nonacute care on 32.3%. The need for acute care on admission was a predictor of need for acute care during subsequent hospital stay among patients with medical conditions. The proportion of patients requiring subacute care during the subsequent hospital stay increased with age, decreased with the number of inpatient beds in each hospital and was highest among patients with congestive heart failure, chronic obstructive pulmonary disease and pneumonia. INTERPRETATION: In 1995, inpatients requiring subacute care accounted for a substantial proportion of nonacute care days in Ontario''s general hospitals. These findings suggest a need to evaluate the efficiencies that might be achieved by introducing a subacute category of care into the Canadian health care system. Generally, efforts are needed to reduce the proportion of admissions for nonacute care and of in-hospital days for other than acute care.     

Results of Early Mobilization and Discharge after Myocardial Infarction

A total of 342 patients with acute myocardial infarction who were admitted to a coronary care unit are reviewed to assess the results of early mobilization and discharge. The mean duration of admission was 8·4 days and 89% of the survivors were discharged from hospital by the tenth day. The inpatient mortality was 15·5%. An additional 6·7% died during the six weeks'' follow-up period, giving a total mortality of 22·2%. Altogether, 7·6% of patients were readmitted. Venous thromboembolic phenomena occurred in 3·5% during the inpatient period. Of patients who were eligible 62% were back at work five months after their myocardial infarction. We think the results justify a short hospital admission period for acute myocardial infarction.     

Development,Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange

ObjectivesIdentifying patients at risk of a 30-day readmission can help providers design interventions, and provide targeted care to improve clinical effectiveness. This study developed a risk model to predict a 30-day inpatient hospital readmission for patients in Maine, across all payers, all diseases and all demographic groups.MethodsOur objective was to develop a model to determine the risk for inpatient hospital readmission within 30 days post discharge. All patients within the Maine Health Information Exchange (HIE) system were included. The model was retrospectively developed on inpatient encounters between January 1, 2012 to December 31, 2012 from 24 randomly chosen hospitals, and then prospectively validated on inpatient encounters from January 1, 2013 to December 31, 2013 using all HIE patients.ResultsA risk assessment tool partitioned the entire HIE population into subgroups that corresponded to probability of hospital readmission as determined by a corresponding positive predictive value (PPV). An overall model c-statistic of 0.72 was achieved. The total 30-day readmission rates in low (score of 0–30), intermediate (score of 30–70) and high (score of 70–100) risk groupings were 8.67%, 24.10% and 74.10%, respectively. A time to event analysis revealed the higher risk groups readmitted to a hospital earlier than the lower risk groups. Six high-risk patient subgroup patterns were revealed through unsupervised clustering. Our model was successfully integrated into the statewide HIE to identify patient readmission risk upon admission and daily during hospitalization or for 30 days subsequently, providing daily risk score updates.ConclusionsThe risk model was validated as an effective tool for predicting 30-day readmissions for patients across all payer, disease and demographic groups within the Maine HIE. Exposing the key clinical, demographic and utilization profiles driving each patient’s risk of readmission score may be useful to providers in developing individualized post discharge care plans.     

Trends in the hospital care of acute childhood asthma 1970-8: a regional study.

In the South-west Thames Region over the period 1970-8 the number of admissions for asthma in children aged 5-14 years increased from 256 to 684, an increase of 167%. Factors associated with this trend were investigated by an analysis of routine hospital statistics and examination of case notes for 1970 and 1978 from every hospital in the region. The trend was caused partly by an increase in readmission rates. There was a more than fivefold increase in self-referrals; these patients had less severe asthma on admission and a higher readmission rate than patients referred by general practitioners. Drug management before and after admission changed considerably over the nine years, as did hospital investigations. Overall, there was little change in the level of severity on admission. The increase in admissions was not associated with a reduction in deaths from asthma in the region and occurred in spite of major advances in the drug control of asthma; this indicates an inadequacy of ambulatory care. The shift in the balance of care towards the hospital and the increasing adoption of a primary care function by the hospital indicate a need for hospitals and general practice to agree jointly on management policies for acute asthma.     

Readmission for Acute Exacerbation within 30 Days of Discharge Is Associated with a Subsequent Progressive Increase in Mortality Risk in COPD Patients: A Long-Term Observational Study

Background and Objective

Twenty per cent of chronic obstructive pulmonary disease (COPD) patients are readmitted for acute exacerbation (AECOPD) within 30 days of discharge. The prognostic significance of early readmission is not fully understood. The objective of our study was to estimate the mortality risk associated with readmission for acute exacerbation within 30 days of discharge in COPD patients.

Methods

The cohort (n = 378) was divided into patients readmitted (n = 68) and not readmitted (n = 310) within 30 days of discharge. Clinical, laboratory, microbiological, and severity data were evaluated at admission and during hospital stay, and mortality data were recorded at four time points during follow-up: 30 days, 6 months, 1 year and 3 years.

Results

Patients readmitted within 30 days had poorer lung function, worse dyspnea perception and higher clinical severity. Two or more prior AECOPD (HR, 2.47; 95% CI, 1.51–4.05) was the only variable independently associated with 30-day readmission. The mortality risk during the follow-up period showed a progressive increase in patients readmitted within 30 days in comparison to patients not readmitted; moreover, 30-day readmission was an independent risk factor for mortality at 1 year (HR, 2.48; 95% CI, 1.10–5.59). In patients readmitted within 30 days, the estimated absolute increase in the mortality risk was 4% at 30 days (number needed to harm NNH, 25), 17% at 6-months (NNH, 6), 19% at 1-year (NNH, 6) and 24% at 3 years (NNH, 5).

Conclusion

In conclusion a readmission for AECOPD within 30 days is associated with a progressive increased long-term risk of death.     

Fourth goal of perinatal medicine.

Reduction in maternal mortality, infant mortality, and infant morbidity have been successively the goals of perinatal medicine. The fourth is to reduce bonding failure. In July 1978 a preventive service was started in the John Radcliffe Maternity Hospital. A twice-weekly round is made. Midwives refer families who cause them concern. In the first year the referral rate ws 20.5 per 1000 liveborn babies. The referred sample differed from the hospital population in terms of maternal psychiatric history, marital state and babies'' admission to special care. The main reasons for referral were: doubt about parenting ability (27%), psychiatric history (15%), disturbed behaviour in hospital (14%), and diffuse social and medical problems (17%). Long-term care was needed for only 14% of families. At their first birthdays, six babies were placed away from their natural parents; the sample had had a slightly higher than expected admission rate to hospital; the distribution of weights did not differ from the expected; doctors and health visitors were still concerned about one-quarter of the families. Seven cases of screening failure were found among those not referred to our service, but only one was seriously abused. No child referred in the first year has been seriously neglected or abused.     

Hospital Readmissions of Patients with Heart Failure: The Impact of Hospital and Primary Care Organizational Factors in Northern Italy

BackgroundPrimary health care is essential for an appropriate management of heart failure (HF), a disease which is a major clinical and public health issue and a leading cause of hospitalization. The aim of this study was to evaluate the impact of different organizational factors on readmissions of patients with HF.MethodsThe study population included elderly resident in the Local Health Authority of Bologna (Northern Italy) and discharged with a diagnosis of HF from January to December 2010. Unplanned hospital readmissions were measured in four timeframes: 30 (short-term), 90 (medium-term), 180 (mid-long-term), and 365 days (long-term). Using multivariable multilevel Poisson regression analyses, we investigated the association between readmissions and organizational factors (discharge from a cardiology department, general practitioners’ monodisciplinary organizational arrangement, and implementation of a specific HF care pathway).ResultsThe 1873 study patients had a median age of 83 years (interquartile range 77–87) and 55.5% were females; 52.0% were readmitted to the hospital for any reason after a year, while 20.1% were readmitted for HF. The presence of a HF care pathway was the only factor significantly associated with a lower risk of readmission for HF in the short-, medium-, mid-long- and long-term period (short-term: IRR [incidence rate ratio]=0.57, 95%CI [confidence interval]=0.35–0.92; medium-term: IRR=0.70, 95%CI=0.51–0.96; mid-long-term: IRR=0.79, 95%CI=0.64–0.98; long-term: IRR=0.82, 95%CI=0.67–0.99), and with a lower risk of all-cause readmission in the short-term period (IRR=0.73, 95%CI=0.57–0.94).ConclusionOur study shows that the HF care specific pathway implemented at the primary care level was associated with lower readmission rate for HF in each timeframe, and also with lower readmission rate for all causes in the short-term period. Our results suggest that the engagement of primary care professionals starting from the early post-discharge period may be relevant in the management of patients with HF.     

Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China

Background

Unplanned readmission within 31?days of discharge after stroke is a useful indicator for monitoring quality of hospital care. We evaluated the risk factors associated with 31-day unplanned readmission of stroke patients in China.

Methods

We identified 50,912 patients from 375 hospitals in 29 provinces, municipalities or autonomous districts across China who experienced an unplanned readmission after stroke between 2015 and 2016, and extracted data from the inpatients’ cover sheet data from the Medical Record Monitoring Database. Patients were grouped into readmission within 31?days or beyond for analysis. Chi-squared test was used to analyze demographic information, health system and clinical process-related factors according to the data type. Multilevel logistic modeling was used to examine the effects of patient (level 1) and hospital (level 2) characteristics on an unplanned readmission ≤31?days.

Results

Among 50,912 patients, 14,664 (28.8%) were readmitted within 31?days after discharge. The commonest cause of readmissions were recurrent stroke (34.8%), hypertension (22.94%), cardio/cerebrovascular disease (13.26%) and diabetes/diabetic complications (7.34%). Higher risks of unplanned readmissions were associated with diabetes (OR?=?1.089, P?=?0.001), use of clinical pathways (OR?=?1.174, P?<?0.001), and being discharged without doctor’s advice (OR?=?1.485, P?<?0.001). Lower risks were associated with basic medical insurances (OR ranging from 0.225 to 0.716, P?<?0.001) and commercial medical insurance (OR?=?0.636, P?=?0.021), compared to self-paying for medical services. And patients aged 50?years old and above (OR ranging from 0.650 to 0.985, P?<?0.05), with haemorrhagic stroke (OR?=?0.467, P?<?0.001), with length of stay more than 7?days in hospital (OR ranging from 0.082 to 0.566, P?<?0.001), also had lower risks.

Conclusions

Age, type of stroke, medical insurance status, type of discharge, use of clinical pathways, length of hospital stay and comorbidities were the most influential factors for readmission within 31?days.

     

Inequality in Diabetes-Related Hospital Admissions in England by Socioeconomic Deprivation and Ethnicity: Facility-Based Cross-Sectional Analysis

ObjectiveTo investigate the effect of social deprivation and ethnicity on inpatient admissions due to diabetes in England.DesignFacility-based cross-sectional analysis.SettingNational Health Service (NHS) trusts in England reporting inpatient admissions with better than 80% data reporting quality from 2010–2011 (355 facilities).ParticipantsNon-obstetric patients over 16 years old in all NHS facilities in England. The sample size after exclusions was 5,147,859 all-cause admissions.ResultsThere were 445,504 diabetes-related hospital admissions in England in 2010, giving a directly (age-sex) standardized rate of 1049.0 per 100,000 population (95% confidence interval (CI): 1046.0–1052.1). The relative risk of inpatient admission in the most deprived quintile was 2.08 times higher than that of the least deprived quintile (95% CI: 2.02–2.14), and the effect of deprivation varied across ethnicities. About 30.1% of patients admitted due to diabetes were readmitted at least once due to diabetes. South Asians showed 2.62 times (95% CI: 2.51 – 2.74) higher admission risk. Readmission risk increased with IMD among white British but not other ethnicities. South Asians showed slightly lower risk of readmission than white British (0.86, 95% CI: 0.80 – 0.94).ConclusionsMore deprived areas had higher rates of inpatient admissions and readmissions due to diabetes. South Asian British showed higher admission risk and lower readmission risk than white British. However, there was almost no difference by ethnicity in readmission due to diabetes. Higher rates of admission among deprived people may not necessarily reflect higher prevalence, but higher admission rates in south Asian British may be explained by their higher prevalence because their lower readmission risk suggests no inequality in primary care to prevent readmission. Better interventions in poorer areas, are needed to reduce these inequalities.