Comparison between planned and unplanned readmissions to a department of internal medicine

The objective of this study was to assess the respective frequency of planned and unplanned early readmissions after discharge from an internal medicine department, and to identify and compare risk factors for these two types of readmissions. Readmissions within 31 days of discharge were identified as planned or unplanned based on analysis of discharge summaries. Time-failure methods were used to describe the risk of readmissions over time and to assess relationships between patient and index stay characteristics and risk of readmission. Of 5828 patients discharged alive, 730 (12.5%) were readmitted within 31 days. There were slightly more planned than unplanned readmissions (393 vs. 337). The difference in time-to-event functions was significant (P=0.04). The risk of planned readmission was increased for men, younger patients, and for patients discharged with a diagnosis of coronary heart disease, cardiac arrhythmia, and neoplastic disease. Increased risk of unplanned readmission was associated with index length of stay longer than 3 days, an increased number of comorbidities, and with a diagnosis of neoplastic disease. Planned readmissions constitute more than half of early readmissions to our internal medicine department. Therefore, a crude readmission rate is unlikely to be a useful indicator of quality of care. Several patient characteristics influence the risk of unplanned readmission, suggesting that case-mix adjustments are necessary when readmission rates are compared between institutions or tracked over time.     

72-hour hospital readmission of older people after hospital discharge with home care services

In this retrospective cohort study in Argentina, risk factors for hospital readmission of older adults, within 72 hours after hospital discharge with home care services, were analyzed. Fifty-three percent of unplanned emergency room visits within 72 hours after hospital discharge resulted in hospital readmissions, 65% of which were potentially avoidable. By multivariate logistic regression, low functionality, pressure ulcers, and age over 83 years predicted hospital readmission among emergency room attendees. It is important to identify and analyze barriers in current home care services and the high-risk population of hospital readmission to improve the strategies to avoid adverse outcomes.     

Is the emergency readmission rate a valid outcome indicator?

OBJECTIVES: The principal aim was to determine whether the emergency readmission rate varies between medical specialties, and to identify whether differences in emergency readmission rates between hospital trusts can be reduced by standardising for specialty. Possible factors influencing emergency readmission were also investigated, including frequency of previous admission and cause of readmission. DESIGN: Emergency readmission rates were obtained from the Scottish Morbidity Record scheme (SMR1) using record linkage, standardised for age and sex. Rates throughout Scotland were analysed by specialty, and rates for general medicine compared among teaching hospital trusts. Cause of emergency readmission was determined from hospital records in a random sample (177 patients). SETTING: Medical specialties throughout Scotland. SUBJECTS: All patients readmitted as an emergency within 28 days of discharge (October 1990 to September 1994). RESULTS: Emergency readmissions varied markedly between medical specialties, with highest rates in nephrology (24.2%, 95% CI 23.5 to 24.8) and haematology (20.4%, 95% CI 19.9 to 20.9), and the lowest in homeopathy (2.2%, 95% CI 1.6 to 2.7) and metabolic diseases (3.5%, 95% CI 2.4 to 4.5). The largest number of emergency readmissions was in general medicine, accounting for 63% of the total. Restricting emergency readmission rates to general medicine significantly altered previous rates. In the year preceding the emergency readmission, 59% of all patients had been admitted to hospital at least once, and most emergency readmissions (73.3%) resulted from a chronic underlying condition. CONCLUSIONS: Significant variations in emergency readmission rates occurred between medical specialties, suggesting that differences between hospital trusts are influenced by differences in specialties and thus case mix. The majority of emergency readmissions occurred in patients with an underlying chronic condition, and many had a history of multiple previous hospital admissions. The emergency readmission rate is therefore unlikely to be a valid outcome indicator reflecting quality of care until routine data are available for standardisation by case mix.     

Emergency Department Coverage by Primary Care Physicians in a Rural Practice-Based Research Network: Incentives, Confidence, and Training

ABSTRACT:  Context: In rural areas of the United States, emergency departments (EDs) are often staffed by primary care physicians, as contrasted to urban and suburban hospitals where ED coverage is usually provided by physicians who are residency-trained in emergency medicine. Purpose: This study examines the reasons and incentives for rural Oregon primary care physicians to cover the ED and their reported measures of confidence and priorities for additional training. Methods: We conducted a cross-sectional survey of primary care physicians in rural Oregon who are members of the Oregon Rural Practice-Based Research Network (ORPRN). The survey was sent to 70 primary care physicians in 27 rural Oregon practices. Findings: Fifty-two of 70 (74%) ORPRN physicians representing 24 practices returned the questionnaire. Nineteen of the 52 responding physicians reported covering the ED. The majority (75%) of physicians covering the ED did so as a requirement for practice employment and/or hospital privileges. Physicians covering the ED reported low confidence in pediatric emergencies and expressed the need for additional training in pediatric emergencies as their top priority. Conclusions: Almost two fifths of surveyed primary care physicians in a rural practice-based research network provide ED coverage. Based on these physicians' low levels of confidence and desire for additional training in pediatric emergencies, effective education models are needed for physicians covering the ED at their rural hospitals.     

Colorado family practice graduates' preparation for and practice of emergency medicine

BACKGROUND: Family physicians provide care in emergency departments, especially in rural areas; however, no published data describe how they perceive their preparation for emergency practice. We surveyed graduates of Colorado family practice residencies concerning their emergency medicine practice, their comfort working in emergency departments, and their perceived preparation for practicing emergency medicine. METHODS: Seventy recent graduates of Colorado residencies were surveyed regarding their location, work in emergency departments, contact with emergency medical services (EMS) personnel, and perceptions about their emergency medical training. RESULTS: Forty-five percent of respondents practiced in rural settings, 33% worked in emergency departments (56% rural, 14% urban), 60% reported contact with EMS personnel (91% rural, 32% urban), 54% believed their training adequately prepared them for working in emergency departments (82% rural vs 32% urban), 63% of rural and 22% of urban respondents indicated they wanted more major trauma experience during training, 70% reported discomfort with managing trauma, and 44% were interested in a 6-month emergency medicine fellowship. CONCLUSIONS: Most respondents believed their training in emergency medicine was adequate; however, most also reported discomfort with trauma management. Improved training for family physicians who provide emergency care could include expanded trauma care opportunities, increased work with EMS personnel, and postresidency training.     

Multifaceted Inpatient Psychiatry Approach to Reducing Readmissions: A Pilot Study

ABSTRACT:  Context: Access to psychiatric services, particularly inpatient psychiatric care, is limited and lacks comprehensiveness in rural areas. Purpose: The purpose of this study was to evaluate the impact on readmission rates of a multifaceted inpatient psychiatry approach (MIPA) offered in a rural hospital. Methods: Readmissions within 30 days of patients who were admitted to an inpatient psychiatric unit using a MIPA model of care (N = 147) were compared to readmissions of a comparison group of patients who were admitted prior to the adoption of the MIPA (N = 37). Case mix differences were adjusted using multiple logistic regression analysis (N = 184). Findings: Patients treated in the MIPA model of care had lower odds of readmission within 30 days (odds ratio 0.14, 95% CI 0.02-0.87, P < .03). Conclusions: Effective inpatient psychiatric care can be provided in rural hospitals.     

Evaluating integrative medicine acute stroke inpatient care in South Korea

High demand for traditional Korean medicine led to a policy change in 2010 allowing hospitals to provide Integrative medicine care that combines Western medicine and Korean medicine. This study evaluated the effects of Integrative medicine compared to Western medicine-only for managing acute stroke in South Korean hospitals.A retrospective matched case-control observational study was conducted for acute stroke patients admitted nationwide in 2012 and 2013. Propensity score matching was used to adjust for the likelihood of selecting Integrative medicine. Hierarchical generalized linear models were used to control for patient characteristics at the episode of care (level 1) and cluster effects from the hospitals (level 2).A total of 1182 patients and 65 hospitals were matched and analyzed. Receiving Integrative medicine significantly increased the average length of stay (OR 1.27; 95% CI 1.13–1.42), total cost of inpatient care (OR 1.93; 95% CI 1.62–2.31), and per-day cost (OR 1.34; 95% CI 1.21–1.47). Receiving Integrative medicine did not affect all-cause 3-month emergency readmissions (OR 1.36; 95% CI 0.92–2.02). However, Integrative medicine was associated with a reduced risk of all-cause mortality at 3 months (OR 0.36; 90% CI 0.13–0.99) and 12 months (OR 0.34; 95% CI 0.15–0.75) after admission.Receiving Integrative medicine was associated with improved 3-month and 12-month survival, greater healthcare utilization and higher costs. Further economic evaluations are needed to guide policy for efficient integration of Korean medicine and Western medicine.     

Measuring readmissions: focus on the time factor.

OBJECTIVE: To assess the effects of choosing different time-intervals of observation when using unplanned readmissions as an outcome indicator. DESIGN: A conceptual model was developed based on the risk curve. The model assigned readmissions above a background level as 'related' to the earlier episode of illness. The characteristics of the hazard curve were used to estimate how the rates of related and unrelated readmissions varied with time. SETTING: Patients living in a region of Middle Norway served by eight acute-care hospitals and discharged in the year 1996. MAIN OUTCOME MEASURE: The conditional risk (hazard rate) of having an unplanned readmission. The information gathered allowed inclusion of readmissions to all hospitals in the area, and to make risk corrections for deaths. RESULTS: The identified proportion of readmissions judged as related to the earlier episode of illness was found to be very sensitive to changes in the time interval. With the commonly used interval of 30 days, 0.5 of all related readmissions were identified, while 0.7 of the readmissions included at this time were estimated as related ones ('true positives'). The hazard curve was different for medical and surgical patients, but the corresponding proportions of related and unrelated readmissions were relatively similar. Adjusting for deaths in the observation period did not result in significantly different risk curves. CONCLUSION: When unplanned readmissions are used as an outcome indicator, the measure is susceptible to the choice of time interval. The operative characteristics must be interpreted in the context of where it is intended that the indicator should be used.     

Early readmission as an indicator of hospital quality of care

BACKGROUND: The purpose of this study was to assess early readmission as an indicator of quality of care, to estimate the frequency of avoidable emergency readmission in a French hospital, and then to describe the feasibility and contribution of routine use of this indicator. METHODS: A randomly selected sample of 469 readmissions within 30 days after a conventional hospitalization was chosen among the database of 40,242 hospitalizations during the first half of 1997. Two independent practitioners, whose true agreement was measured with a kappa test, studied the features of readmission recorded on the patient files, classing them as "unforeseeable" or "potentially avoidable". Database criteria that could automatically class the readmission in either group were analyzed. RESULTS: There were 119 unforeseeable readmissions (25.4%). The two physicians agreed on the unforeseeable nature of 97 of these readmissions and 50 of them were judged avoidable. None of the database criteria allowed identifying all unforeseeable and avoidable readmissions. Readmission via the emergency unit was a sure indicator of unforeseeable readmission in 66% of the cases and of avoidable readmissions in 60%. The frequency of unforeseen readmissions was estimated at 3.9% of all conventional stays during the first half of 1997. The frequency of avoidable readmissions was 1.5%. CONCLUSIONS: Unforeseen early readmission can be an indicator of quality of the care taking process. It is however impossible to use the current database to classify with certainty readmissions as "unforeseeable" or "avoidable". Emergency unit readmission could offer a possible approach to measuring the frequency of unforeseen readmission. This ratio can provide caretakers with information concerning the quality of care and thus help in making decisions concerning reorganization for improvement.     

Lower Rehospitalization Rates Among Rural Medicare Beneficiaries With Diabetes

Purpose: We estimated the 30‐day readmission rate of Medicare beneficiaries with diabetes, across levels of rurality. Methods: We merged the 2005 Medicare Chronic Conditions 5% sample data with the 2007 Area Resource File. The study population was delimited to those with diabetes and at least 1 hospitalization in the year. Unadjusted readmission rates were estimated across levels of rurality. Multivariate logistic regression estimated the factors associated with readmissions. Findings: Overall, 14.4% had a readmission; this was higher among urban (14.9%) than rural (12.9%) residents. The adjusted odds indicated that remote rural residents were less likely to have a readmission (OR 0.74, 0.57‐0.95) than urban residents. Also, those with a 30‐day physician follow‐up visit were more likely to have a readmission (OR 2.25, 1.96‐2.58) than those without a visit. Conclusion: The factors that contribute to hospital readmissions are complex; our findings indicate that access to follow‐up care is highly associated with having a readmission. It is possible that residents of remote rural counties may not receive necessary readmissions due to lower availability of such follow‐up care. Policy makers should continue to monitor this apparent disparity to determine the impact of these lower rates on both patients and hospitals alike.     

Risk of unplanned emergency department readmission after an acute-care hospital discharge among geriatric inpatients: Results from the geriatric EDEN cohort study

Objectives

The study aims 1) to examine whether items of the brief geriatric assessment (BGA) or their combinations predicted the risk of unplanned emergency department readmission after an acute care hospital discharge among geriatric inpatients, and 2) to determine whether BGA could be used as a prognostic tool for unplanned emergency department readmission.

Methods

A total of 312 older patients (mean age, 84.6 ± 5.4 years; 64.1% female) hospitalized in acute care wards after an emergency department visit were recruited in this observational prospective cohort study and separated into 2 groups based on the occurrence or not of an unplanned emergency department readmission during a 12-month follow-up period after their hospital discharge. A 6-item BGA was performed at emergency department admission before the discharge to acute care wards. Information on incident unplanned emergency department readmission was prospectively collected by phone call and by consulting the hospital registry. Several combinations of items of BGA identifying three levels of risk of unplanned emergency department readmission (i.e., low risk, intermediate risk and high risk) were examined.

Results

The unplanned emergency department readmission was more frequently associated with a temporal disorientation (P=0.004). Area under receiver operating characteristic curves of unplanned emergency department readmission based on BGA items and their combinations ranged from 0.53 to 0.61. The best predictor of unplanned emergency department readmission was the temporal disorientation (hazard ratio>1.65, P<0.035), which defined the high-risk group. Inpatients classified in high-risk group of unplanned emergency department readmission were more frequently readmitted to emergency department than those in intermediate- and low-risk groups (P log Rank <0.004). Prognostic values for unplanned emergency department readmission of items and their combinations were poor with sensitivity below 67%, specificity ranging from 36.4 to 53.7, and positive likelihood ratio below 1.4.

Conclusions

The items of BGA and their combinations were significant risk factors for unplanned emergency department readmission, but their prognostic value was poor.

     

Early primary care follow-up after ED and hospital discharge – does it affect readmissions?

Objectives: After hospitalization, timely discharge follow-up has been linked to reduced readmissions in the heart failure population, but data from general inpatients has been mixed. The objective of this study was to determine if there was an association between completed follow-up appointments within 14 days of hospital discharge and 30-day readmission amongst primary care patients at an urban academic medical center. Index discharges included both inpatient and emergency room settings. A secondary objective was to identify patient factors associated with completed follow-up appointments within 14 days.

Methods: We conducted a retrospective review of primary care patients at an urban academic medical center who were discharged from either the emergency department (ED) or inpatient services at the Weill Cornell Medical Center/New York Presbyterian Hospital from 1 January 2014-31 December 2014. Cox proportional hazard models were used to identify the relationship between follow-up in primary care within 14 days and readmission within 30 days. Logistic regression was used to evaluate the association of patient factors with 14-day follow-up.

Results: Among 9,662 inpatient and ED discharges, multivariable analysis (adjusting for age, gender, race/ethnicity, insurance, number of diagnoses on problem list, length of stay, and discharge service) showed that follow-up with primary care within 14 days was not associated with a lower hazard of readmission within 30 days (HR = 0.78; 95% CI 0.56–1.09). A higher number of diagnoses on the problem list was associated with greater odds of follow-up for both inpatient and emergency department discharges (inpatient: HR = 1.03, 95% CI 1.02–1.04; ED: HR = 1.02, 95% CI 1.00–1.04). For inpatient discharges, each additional day in length of stay was associated with 3% lower odds of follow-up (HR = 0.97, 95% CI 0.96–0.99).

Conclusion: Early follow-up within 14 days after discharge from general inpatient services was associated with a trend toward lower hazard of 30-day readmission though this finding was not significant. Future studies should focus on identifying additional cohorts of patients in which readmission is reduced by early follow-up, so that access to primary care appointments is not compromised.     

The Role of Outpatient Facilities in Explaining Variations in Risk-Adjusted Readmission Rates between Hospitals

Objective. Validate risk-adjusted readmission rates as a measure of inpatient quality of care after accounting for outpatient facilities, using premature infants as a test case.
Study Setting. Surviving infants born between January 1, 1998 and December 12, 2001 at five Northern California Kaiser Permanente neonatal intensive care units (NICU) with 1-year follow-up at 32 outpatient facilities.
Study Design. Using a retrospective cohort of premature infants ( N =898), Poisson's regression models determined the risk-adjusted variation in unplanned readmissions between 0–1 month, 0–3 months, 3–6 months, and 3–12 months after discharge attributable to patient factors, NICUs, and outpatient facilities.
Data Collection. Prospectively collected maternal and infant hospital data were linked to inpatient, outpatient, and pharmacy databases.
Principal Results. Medical and sociodemographic factors explained the largest amount of variation in risk-adjusted readmission rates. NICU facilities were significantly associated with readmission rates up to 1 year after discharge, but the outpatient facility where patients received outpatient care can explain much of this variation. Characteristics of outpatient facilities, not the NICUs, were associated with variations in readmission rates.
Conclusion. Ignoring outpatient facilities leads to an overstatement of the effect of NICUs on readmissions and ignores a significant cause of variations in readmissions.     

Understanding the large heterogeneity in hospital readmissions and mortality for acute myocardial infarction

This study aims to investigate the variation in two acute myocardial infarction (AMI) outcomes across public hospitals in Portugal. In-hospital mortality and 30-day unplanned readmissions were studied using two distinct AMI cohorts of adults discharged from all acute care public hospital centers in Portugal from 2012−2015. Hierarchical generalized linear models were used to assess the association between patient and hospital characteristics and hospital variability in the two outcomes.Our findings indicate that hospitals are not performing homogeneously—the risk of adverse events tends to be consistently larger in some hospitals and consistently lower in other hospitals. While patient characteristics accounted for a larger share of the explained between-hospital variance, hospital characteristics explain an additional 8% and 10% of hospital heterogeneity in the mortality and the readmission cohorts respectively. Admissions to hospitals with low AMI caseloads or located in Alentejo/Algarve and Lisbon had a higher risk of mortality. Discharges from larger-sized hospitals were associated with increased risk of readmissions. Future health policies should incorporate these findings in order to incentivize more consistent health care outcomes across hospitals. Further investigation addressing geographical disparities, hospital caseload and practices is needed to direct actions of improvement to specific hospitals.     

Hospital-sponsored primary care: II. Impact on patient access

This article, the second of two, considers the impact of a nationwide demonstration of 53 community hospital sponsored group practices (CHPs). Surveys of a sample of the communities in which the CHPs were introduced suggest that about half of the communities were socioeconomically and, to some extent, medically disadvantaged. The CHPs tended to attract people who had previously not had a regular source of care or who used hospital outpatient departments or emergency rooms, as well as patients of established primary care physicians. Access to care and satisfaction appeared to be as good or better for CHP patients compared to regular patients of physicians in the target areas. The programs did not increase the use of inpatient services, emergency rooms, or hospital outpatient departments. The findings suggest that at present community hospital sponsored group practices would not have a profound effect on access to care if adopted nationally, but that targeted implementation by hospitals in lower income and minority communities can improve patient opportunities for appropriate primary care services.     

Do Hospital Length of Stay and Staffing Ratio Affect Elderly Patients' Risk of Readmission? A Nation‐wide Study of Norwegian Hospitals

OBJECTIVE: To test whether there is an association between hospital operating conditions such as average length of stays (LOS) and staffing ratio, and elderly patients' risk of readmission. DATA SOURCES: The main data source was a national patient database of admissions to all acute-care Norwegian hospitals during the year of 1996. STUDY DESIGN: It is a cross-sectional study, where Cox' regression analysis was used to test the factors acting on the probability of early unplanned readmission (within 30 days), and later occuring ones. The principal hospital variables included average hospital LOS and staffing ratio (discharges per man-years of personnel). Adjusting patient variables in the model included age, gender, and cost-weights of the Diagnosis Related Groups (DRGs). DATA EXTRACTION METHODS: The selected material included discharges from 59 hospitals, and 113,055 elderly patients (> or = 67 years). Multiple admissions to the same hospital were linked together chronologically, and additional hospital data were matched on. To maximize the association between the index stay and the defined outcome (unplanned readmission), no intervening planned admission was accepted. PRINCIPAL FINDINGS: Being admitted to a hospital with relatively short average LOS increased the patient's risk of early readmission significantly. In addition it was found that more intensive care (more staff) could have a compensatory effect. Furthermore, the predictive factors were shown to be time dependent, as hospital variables had much less impact on readmissions occurring late (within 90-180 days). CONCLUSIONS: The results give support to the assumption of a link between hospital operating conditions and patient outcome.     

Hospital utilization patterns and costs for adult sickle cell patients in Illinois.

OBJECTIVES: To determine population size, demographic characteristics, hospital utilization patterns, the specialties of physicians providing care, and costs for hospitalized adult sickle cell patients in Illinois. METHODS: A statewide, administrative dataset for the two-year period from january 1992 through December 1993 was analyzed retrospectively. RESULTS: There were 8403 admissions among 1189 individual sickle cell patients for the two-year period. Eighty-five percent of patients resided in the Chicago metropolitan area. The median age of the 1189 patients was 29; two-thirds had Medicaid or Medicare coverage. Emergency departments were the primary source of admissions (85.7%). The most common admitting diagnosis was painful crisis (97.4%), and average length of stay was four days. The median number of admissions per patient was three; most patients (85%) used only one or two hospitals. A small group used more than four hospitals and accounted for 23% of statewide admissions. Primary care physicians cared for most patients, and total hospitalization charges were more than $59 million. CONCLUSIONS: In Illinois the adult sickle cell population is concentrated in major urban centers, primarily the Chicago metropolitan area. These patients accounted for approximately 8400 admissions and more than $59 million in hospital charges during the two-year study period. A small group of patients used multiple hospitals and accounted for more than 23% of total hospitalization charges. This study shows the necessity of and provides a useful framework for developing targeted programs for adult sickle cell patients as well as for training physicians to efficiently provide comprehensive health care services for this population.     

Transition to family practice in Turkey

INTRODUCTION: Turkey's primary health care (PHC) system was established in the beginning of the 1960s and provides preventive and curative basic medical services to the population. This article describes the experience of the Turkish health system, as it tries to adapt to the European health system. It describes the current organization of primary health care and the family medicine model that is in the process of implementation and discusses implications of the transition for family physicians and the challenges faced in meeting the needs for health care staff. In Turkey a trend toward urbanization is evident and more staff positions in rural PHC centers are vacant. Shortages of physicians and an ineffective distribution of doctors are seen as a major problem. Family medicine gained popularity at the beginning of the 1990s, as a specialty with a 3-year postgraduate training program. Medical practitioners who are graduates of a 6-year medical training program and are already working in the PHC system are offered retraining courses. Better working conditions and higher salaries may be important incentives for medical practitioners to sign a contract with the social security institution of Turkey. DISCUSSION: The lack of well-trained primary care staff is an ongoing challenge. Attempts to retrain medical practitioners to act as family physicians show promising results. Shortness of physician and health professionals and lack of time and resources in primary health care are problems to overcome during this process.