Trends in hospital inpatient episodes for signs, symptoms and ill-defined conditions: observational study of older people's hospital episodes in England, 1995-2003

Fine particulate matter components and emergency department visits among a privately insured population in Greater Houston

Although adverse health effects of PM2.5 (particulate matter with aerodynamic diameter less than 2.5μm) mass have been extensively studied, it remains unclear regarding which PM2.5 components are most harmful. No studies have reported the associations between PM2.5 components and adverse health effects among a privately insured population. In our study, we estimated the short-term associations between exposure to PM2.5 components and emergency department (ED) visits for all-cause and cause-specific diseases in Greater Houston, Texas, during 2008-2013 using ED visit data extracted from a private insurance company (Blue Cross Blue Shield Texas [BCBSTX]). A total of 526,453 ED visits were included in our assessment, with an average of 236 (±63) visits per day. We selected 20 PM2.5 components from the U.S. Environmental Protection Agency's Chemical Speciation Network site located in Houston, and then applied Poisson regression models to assess the previously mentioned associations. Interquartile range increases in bromine (0.003μg/m(3)), potassium (0.048μg/m(3)), sodium ion (0.306μg/m(3)), and sulfate (1.648μg/m(3)) were statistically significantly associated with the increased risks in total ED of 0.71% (95% confidence interval (CI): 0.06, 1.37%), 0.71% (95% CI: 0.21, 1.22%), 1.28% (95% CI: 0.34, 2.24%), and 1.22% (95% CI: 0.23, 2.23%), respectively. Seasonal analysis suggested strongest associations occurred during the warm season. Our findings suggest that a privately insured population, presumably healthier than the general population, may be still at risk of adverse health effects due to exposure to ambient PM2.5 components.

Unplanned admissions and readmissions in older people: a review of recent evidence on identifying and managing high-risk individuals

Rising unplanned hospital admissions are a problem in ageing populations worldwide. These admissions are associated with poor outcomes for older people, contribute to rising health care costs and impede the provision of planned care. Policy and practice in recent years has focused on identification of those at risk of unplanned admission and early intervention via a range of admission avoidance services. Despite this, unplanned admissions in older people continue to rise, and managing demand for unplanned care remains a priority. Questions remain about the risk factors for unplanned admission and the best approaches to identifying and intervening with those at risk. This review explores recent evidence on admission rates, risk factors for unplanned admission in older people, identification of those at highest risk and interventions to avert unplanned admission.

Professional perspectives on systemic barriers to admission avoidance: learning from a system dynamics study of older people's admission pathways

BACKGROUND

There is debate worldwide about the best way to manage increased healthcare demand within ageing populations, particularly rising rates of unplanned and avoidable hospital admissions.

OBJECTIVES

To understand health and social care professionals' perspectives on barriers to admission avoidance throughout the admissions journey, in particular: the causes of avoidable admissions in older people; drivers of admission and barriers to use of admission avoidance strategies; and improvements to reduce unnecessary admissions.

DESIGN

A qualitative framework analysis of interview data from a System dynamics (SD) modelling study.

METHODS

Semi-structured interviews were conducted with twenty health and social care professionals with experience of older people's admissions. The interviews were used to build understanding of factors facilitating or hindering admission avoidance across the admissions system. Data were analysed using framework analysis.

RESULTS

Three overarching themes emerged: understanding the needs of the patient group; understanding the whole system; and systemwide access to expertise in care of older people. There were diverse views on the underlying reasons for avoidable admissions and recognition of the need for whole-system approaches to service redesign.

CONCLUSIONS

Participants recommended system redesign that recognises the specific needs of older people, but there was no consensus on underlying patient needs or specific service developments. Access to expertise in management of older and frailer patients was seen as a barrier to admission avoidance throughout the system.

IMPLICATIONS FOR PRACTICE

Providing access to expertise and leadership in care of frail older people across the admissions system presents a challenge for service managers and nurse educators but is seen as a prerequisite for effective admission avoidance. System redesign to meet the needs of frail older people requires agreement on causes of avoidable admission and underlying patient needs.

Impact on hospital admissions of an integrated primary care model for very frail elderly patients

Very frail elderly patients living in the community, present complex needs and have a higher rate of hospital admissions with emergency department (ED) visits. Here, we evaluated the impact on hospital admissions of the COPA model (CO-ordination Personnes Agées), which provides integrated primary care with intensive case management for community-dwelling, very frail elderly patients. We used a quasi-experimental study in an urban district of Paris with four hundred twenty-eight very frail patients (105 in the intervention group and 323 in the control group) with one-year follow-up. The primary outcome measures were the presence of any unplanned hospitalization (via the ED), any planned hospitalizations (direct admission, no ED visit) and any hospitalization overall. Secondary outcome measures included health parameters assessed with the RAI-HC (Resident Assessment Instrument-Home Care). Comparing the intervention group with the control group, the risk of having at least one unplanned hospital admission decreased at one year and the planned hospital admissions rate increased, without a significant change in total hospital admissions. Among patients in the intervention group, there was less risk of depression and dyspnea. The COPA model improves the quality of care provided to very frail elderly patients by reducing unplanned hospitalizations and improving some health parameters.

Reducing avoidable hospital admission in older people: health status, frailty and predicting risk of ill-defined conditions diagnoses in older people admitted with collapse

Emergency hospital admissions for patients with ill-defined conditions International Classification of Diseases-10 R codes (ICD-10 R codes) are rising. Policy literature has suggested that they are attributable to 'social' problems and could potentially be avoided yet there is no research evidence to support this view. Therefore, this study sought to describe patients with ill-defined conditions and determine clinical and demographic factors predicting assignment of such codes. Patients aged over 70 admitted to a hospital acute admissions unit with collapse or falls were recruited in one hospital. Measures of functional status, frailty, depression, routine blood tests, demographic and service use data were collected. 80 patients were recruited, 35 were discharged with ill-defined conditions codes. Functional limitations were common in patients with ill-defined conditions and 77% had frailty. Blood profiles did not indicate acute medical problems. Deprivation was the only significant independent predictor of assignment of ill-defined conditions codes at discharge (OR 0.64, 95% CI: 0.45-0.93). Whilst our data confirm policy suppositions that patients with ill-defined conditions have functional impairment and frailty, it is the social and organisational factors that are important in determining risk of ill-defined conditions rather than clinical indicators.

Features and outcomes of unplanned hospital admissions of older people due to ill-defined (R-coded) conditions: retrospective analysis of hospital admissions data in England

BACKGROUND

Rising rates of unplanned admissions among older people are placing unprecedented demand on health services internationally. Unplanned hospital admissions for ill-defined conditions (coded with an R prefix within Chapter XVIII of the International Classification of Diseases-10) have been targeted for admission avoidance strategies, but little is known about these admissions. The aim of this study was to determine the incidence and factors predicting ill-defined (R-coded) hospital admissions of older people and their association with health outcomes.

METHODS

Retrospective analysis of unplanned hospital admissions to general internal and geriatric medicine wards in one hospital over 12 months (2002) with follow-up for 36 months. The study was carried out in an acute teaching hospital in England. The participants were all people aged 65 and over with unplanned hospital admissions to general internal and geriatric medicine. Independent variables included time of admission, residence at admission, route of admission to hospital, age, gender, comorbidity measured by count of diagnoses. Main outcome measures were primary diagnosis (ill-defined versus other diagnostic code), death during the hospital stay, deaths to 36 months, readmissions within 36 months, discharge destination and length of hospital stay.

RESULTS

Incidence of R-codes at discharge was 21.6%, but was higher in general internal than geriatric medicine (25.6% v 14.1% respectively). Age, gender and co-morbidity were not significant predictors of R-code diagnoses. Admission via the emergency department (ED), out of normal general practitioner (GP) hours, under the care of general medicine and from non-residential care settings increased the risk of receiving R-codes. R-coded patients had a significantly shorter length of stay (5.91 days difference, 95% CI 4.47, 7.35), were less likely to die (hazard ratio 0.71, 95%CI 0.59, 0.85) at any point, but were as likely to be readmitted as other patients (hazard ratio 0.96 (95% CI 0.88, 1.05).

CONCLUSIONS

R-coded diagnoses accounted for 1/5 of emergency admission episodes, higher than anticipated from total English hospital admissions, but comparable with rates reported in similar settings in other countries. Unexpectedly, age did not predict R-coded diagnosis at discharge. Lower mortality and length of stay support the view that these are avoidable admissions, but readmission rates particularly for further R-coded admissions indicate on-going health care needs. Patient characteristics did not predict R-coding, but organisational features, particularly admission via the ED, out of normal GP hours and via general internal medicine, were important and may offer opportunity for admission reduction strategies.