Comorbidity and social factors predicted hospitalization in frail elderly patients

Are physically frail older persons more at risk of adverse outcomes if they also suffer from cognitive, social, and psychological frailty?

Frailty is considered a predictor for negative outcomes such as disability, decreased quality of life, and hospital admission. Frailty measures have been developed that include different dimensions. We examined whether people who are physically frail are more at risk for negative outcomes of frailty if they also suffer from psychological, cognitive, or social frailty. Frailty was measured at baseline by means of the Groningen Frailty Indicator (GFI), which comprises a physical, cognitive, social, and psychological dimension. Only frail persons were included in the study (GFI ≥ 5) that, in addition, had to be frail in the physical dimension (i.e., ≥1 on this dimension). IADL disability and quality of life were measured at baseline and at 12 months. Hospital admission was assessed during this period. In this, physically frail sample effects of the other three frailty dimensions were studied in regression models. The sample (n = 334, mean age 78.1, and range 70-92) included 40.1 % frail men and 59.9 % frail women. Overall, no additional effects for the cognitive, social, or psychosocial dimensions were found: other frailty dimensions did not have an additional impact on disability, quality of life, or hospital admission in people who already suffered from physical frailty. Higher scores of physical frailty were significantly related to IADL disability (p < 0.05) and hospital admission (p < 0.05). Additional analysis showed that the physical frailty score predicted IADL disability and hospital admission better than the GFI overall score. Results of this study suggest that persons, who are physically frail, according to the GFI, are not more at risk for negative outcomes of frailty (i.e., IADL disability, decreased quality of life, and hospital admission) if they in addition suffer from cognitive, social, or psychological frailty. In addition, for the prediction of IADL disability or hospital admission, the focus for screening should be on the physical frailty score instead of the GFI overall score including different dimensions.

Health care costs in the elderly in Germany: an analysis applying Andersen's behavioral model of health care utilization

Background

To analyze the association of health care costs with predisposing, enabling, and need factors, as defined by Andersen’s behavioral model of health care utilization, in the German elderly population.

Methods

Using a cross-sectional design, cost data of 3,124 participants aged 57–84 years in the 8-year-follow-up of the ESTHER cohort study were analyzed. Health care utilization in a 3-month period was assessed retrospectively through an interview conducted by trained study physicians at respondents’ homes. Unit costs were applied to calculate health care costs from the societal perspective. Socio-demographic and health-related variables were categorized as predisposing, enabling, or need factors as defined by the Andersen model. Multimorbidity was measured by the Cumulative Illness Rating Scale for Geriatrics (CIRS-G). Mental health status was measured by the SF-12 mental component summary (MCS) score. Sector-specific costs were analyzed by means of multiple Tobit regression models.

Results

Mean total costs per respondent were 889 € for the 3-month period. The CIRS-G score and the SF-12 MCS score representing the need factor in the Andersen model were consistently associated with total, inpatient, outpatient and nursing costs. Among the predisposing factors, age was positively associated with outpatient costs, nursing costs, and total costs, and the BMI was associated with outpatient costs.

Conclusions

Multimorbidity and mental health status, both reflecting the need factor in the Andersen model, were the dominant predictors of health care costs. Predisposing and enabling factors had comparatively little impact on health care costs, possibly due to the characteristics of the German social health insurance system. Overall, the variables used in the Andersen model explained only little of the total variance in health care costs.

Assessing met and unmet needs in the oldest-old and psychometric properties of the German version of the Camberwell assessment of need for the elderly (CANE)--a pilot study

BACKGROUND

The current demographic and social developments in our society will lead to a significant increase in treatment and healthcare needs in the future, particularly in the elderly population. The Camberwell Assessment of Need for the Elderly (CANE) was developed in the United Kingdom to measure physical-, psychological-, and environment-related treatment as well as healthcare needs of older people in order to identify their unmet needs. So far, the German version of the CANE has not been established in health services research. Major reasons for this are a lack of publications of CANE's German version and the missing validation of the instrument.

METHODS

The aims of the present study were to evaluate the currently available German version of the CANE in a sample of older primary care patients. Descriptive statistics and inference-statistical analyses were calculated.

RESULTS

Patients reported unmet needs mostly in CANE's following sections: mobility/falls, physical health, continence, company, and intimate relationships. Agreement level between patients' and relatives' ratings in CANE was moderate to low. Evidence for the construct validity of CANE was found in terms of significant associations between CANE and other instruments or scores.

CONCLUSIONS

The study results provide an important basis for studies aiming at the assessment of met and unmet needs in the elderly population. Using the German version of the CANE may substantially contribute to an effective and good-quality health and social care as well as an appropriate allocation of healthcare resources in the elderly population.

[Application of the Community Assessment Risk Screen in Primary Care centres of the Valencia Health System]

Objetivo

Aplicar la herramienta The Community Assessment Risk Screen (CARS) para detectar pacientes mayores con riesgo de reingreso hospitalario y estudiar la viabilidad de su inclusión en los sistemas de información sanitaria.

Diseño

Estudio de cohortes retrospectivo.

Emplazamiento

Departamentos de salud 6, 10 y 11 de la Comunidad Valenciana.

Participantes

Pacientes de 65 años o más atendidos en diciembre de 2008 en 6 centros de salud. La muestra fue de 500 pacientes (error muestral = ± 4,37%, fracción de muestreo = 1/307).

Mediciones

Instrumento CARS formado por 3 ítems: diagnósticos (enfermedades cardiacas, diabetes, infarto de miocardio, ictus, EPOC, cáncer), número de fármacos prescritos e ingresos hospitalarios o visitas a urgencias en los 6 meses previos. Los datos procedían de SIA-Abucasis, GAIA y CMBD, y fueron contrastados con profesionales de atención primaria. La variable de resultado fue el ingreso durante 2009.

Resultados

Los niveles de riesgo del CARS están relacionados con el futuro reingreso (p < 0,001). El valor de la sensibilidad y la especificidad es de 0,64, el instrumento identifica mejor a los pacientes con baja probabilidad de ser hospitalizados en el futuro (valor predictivo negativo = 0,91; eficacia diagnóstica = 0,67), pero tiene un valor predictivo positivo del 0,24.

Conclusiones

El CARS original no identifica adecuadamente a la población con alto riesgo de reingreso hospitalario. No obstante, si fuese revisado y mejora su valor predictivo positivo, podría ser incorporado en los sistemas informáticos de atención primaria, siendo útil en el cribado y la segmentación inicial de la población de pacientes crónicos con riesgo de rehospitalización.

How can socioeconomic inequalities in hospital admissions be explained? A cohort study

OBJECTIVES

To investigate which antecedent risk factors can explain the social patterning in hospital use.

DESIGN

Prospective cohort study with up to 37 years of follow-up.

SETTING

Representative community sample in the West of Scotland.

PARTICIPANTS

7049 men and 8353 women aged 45-64 years were recruited into the study from the general population between 1972 and 1976 (78% of the eligible population).

PRIMARY AND SECONDARY OUTCOME MEASURES

Hospital admissions and bed days by cause and by classification into emergency or non-emergency.

RESULTS

All-cause hospital admission rate ratios (RRs) were not obviously socially patterned for women (RR 1.04, 95% CI 0.98 to 1.10) or men (RR 1.0, 95% CI 0.94 to 1.06) in social classes IV and V compared with social classes I and II. However, cardiovascular disease, coronary heart disease and stroke in women, and respiratory disease for men and women were socially patterned, although this attenuated markedly with the addition of baseline risk factors. Hospital bed days were generally socially patterned and the differences were largely explained by baseline risk factors. The overall RRs of mental health admissions in contrast were socially patterned for women (RR 1.77, 95% CI 1.38 to 2.27) and men (RR 1.51, 95% CI 1.11 to 2.06) in social classes IV and V compared with social classes I and II, but the pattern did not attenuate with the addition of baseline risk factors. Emergency hospital admissions were associated with lower social class, but there was an inverse relationship for non-emergency hospital admissions.

CONCLUSIONS

Overall admissions to hospital were only marginally socially patterned, and less than would be expected on the basis of the gradient in baseline risk. However, there was marked social patterning in admissions for mental health problems. Non-emergency hospital admissions were patterned inversely according to risk. Further work is required to explain and address this inequitable gradient in healthcare use.

Predictors of mortality among elderly dependent home care patients

Background

The purpose of this study is to identify which variables –among those commonly available and used in the primary care setting– best predict mortality in a cohort of elderly dependent patients living at home (EDPLH) that were included in a home care program provided by Primary Care Teams (PCT). Additionally, we explored the risk of death among a sub-group of these patients that were admitted to hospital the year before they entered the home care program.

Methods

A one-year longitudinal cohort study of a sample of EDPLH patients included in a home care programme provided by 72 PCTs. Variables collected from each individual patient included health and social status, carer’s characteristics, carer’s burden of care, health and social services received.

Results

1,001 patients completed the study (91.5%), 226 were admitted to hospital the year before inclusion. 290 (28.9%) died during the one-year follow-up period. In the logistic regression analysis women show a lower risk of death [OR= 0.67 (0.50-0.91)]. The risk of death increases with comorbidity [Charlson index OR= 1.14 (1,06-1.23)], the number of previous hospital admissions [OR= 1,16 (1.03-1.33)], and with the degree of pressure ulcers [ulcers degree 1–2 OR = 2.94 (1.92-4.52); ulcers degree 3–4 OR = 4.45 (1.90-10.92)]. The logistic predictive model of mortality for patients previously admitted to hospital identified male sex, comorbidity, degree of pressure ulcers, and having received home care rehabilitation as independent variables that predict death.

Conclusions

Comorbidity, hospital admissions and pressure ulcers predict mortality in the following year in EDPLH patients. The subgroup of patients that entered home care programs with a previous record of hospital admission and a high score in our predictive model might be considered as candidates for palliative care.

Length of stay as risk factor for inappropriate hospital days: interaction with patient age and co-morbidity

RATIONALE, AIMS AND OBJECTIVES

The likelihood of a hospital day being inappropriate depends on patient characteristics, on the organization of in-hospital care and on the co-ordination between hospital care and the rest of the health care sector. The aim of the study was to assess if certain socio-demographic and medical factors affect inappropriate hospital stay including possible interactions between age and co-morbidity.

METHODS

To determine the appropriateness of length of hospitalization, a prospective study was carried out using the European version of the Appropriateness Evaluation Protocol (AEP). A total of 438 hospital days of stay was analysed in medical wards of a university-affiliated teaching hospital in the North of Italy for 3 days in September 2010.

RESULTS

44.6% of hospitalization days were classified as inappropriate. Unjustified hospital use was more frequent in patients whose hospital length of stay exceeded 10 days. Age and co-morbidity were not per se risk factors for inappropriateness; however, in young patients hospitalized for more than 10 days, absence of chronic illness was a predictor. Conservative patient management, lack of discharge planning and delays in scheduling diagnostic tests or therapeutic interventions were the most common causal or contributory doctor- and hospital-related factors.

CONCLUSIONS

Doctor attitudes and hospital organization are still among the most common reasons for inappropriate in-hospital days of care. Monitoring whether the length of stay is appropriate combined with protocol interventions for scheduling of diagnosis, treatment and discharge are likely to improve efficiency in this area of medical care.

[Effects of multimorbidity on health care utilization and costs]

Multiple chronic conditions (multimorbidity) are common among elderly patients; however, little is known about the specific effects of multimorbidity on health care utilization and health care costs. This article reviews empirical studies from the international literature that investigated the relationship between multiple chronic conditions and health care utilization (e.g. ambulatory care, stationary care, pharmacotherapy) and/or health care costs in elderly general populations. Although synthesis of studies was complicated, especially because of ambiguous definitions and measurements of multimorbidity, almost all studies observed a positive association of multimorbidity and utilization and costs. Many studies found that utilization and costs significantly increased with each additional chronic condition. In light of these findings coupled with the fear that current care arrangements may be inappropriate for many multimorbid patients, important implications for research and policy are presented and discussed.

Aggregate health burden and the risk of hospitalization in older persons post hip replacement surgery

BACKGROUND

We sought to understand the association between aggregate health burden-chronic conditions, functionally limiting health problems and mental well-being-and the likelihood of hospitalization among older persons post hip replacement surgery.

METHODS

Eight hundred and twenty-eight Medicare recipients from three U.S. states completed a questionnaire 3 years postsurgery. Using administrative data (Medicare Provider Analysis and Review), participants were prospectively followed for 12 months postquestionnaire to capture hospitalizations. Using logistic regression, demographic, socioeconomic, and behavioral characteristics and medical comorbidities were considered as predictors. Subsequently, musculoskeletal (MSK) functional and geriatric problems were added as predictors, then mental well-being and activity limitations. Path analysis was employed to elucidate interrelationships between these predictors, investigating whether mediated effects through mental well-being and activity limitations were operational.

RESULTS

Mean age was 76 years (range: 67-96); 63% were women; 23% had ≥1 hospitalization(s). When medical comorbidity, MSK limitations, and geriatric problems were considered, each was independently associated with hospitalization (odds ratios: 1.3, 1.1, 1.2, respectively). When mental well-being and activity limitations were added, these variables were predictive of hospitalization (odds ratios: 1.2, 1.1, respectively), while MSK limitations and geriatric problems were no longer predictive. Path analysis results suggested that the influence of medical comorbidity and MSK and geriatric problems were mediated through mental well-being and activity limitations.

CONCLUSIONS

Several health domains predict hospitalization, beyond and including medical comorbidity. Efforts aimed at delaying/minimizing hospitalizations in this population should consider an array of domains for potentially targeted intervention. These findings can serve as a baseline against which future research can assess the impact of changes to the health care system.

The eight-item modified Medical Outcomes Study Social Support Survey: psychometric evaluation showed excellent performance

OBJECTIVE

Evaluation and validation of the psychometric properties of the eight-item modified Medical Outcomes Study Social Support Survey (mMOS-SS).

STUDY DESIGN AND SETTING

Secondary analyses of data from three populations: Boston breast cancer study (N=660), Los Angeles breast cancer study (N=864), and Medical Outcomes Study (N=1,717). The psychometric evaluation of the eight-item mMOS-SS compared performance across populations and with the original 19-item Medical Outcomes Study Social Support Survey (MOS-SS). Internal reliability, factor structure, construct validity, and discriminant validity were evaluated using Cronbach's alpha, principal factor analysis (PFA), and confirmatory factor analysis (CFA), Spearman and Pearson correlation, t-test and Wilcoxon rank sum tests.

RESULTS

mMOS-SS internal reliability was excellent in all three populations. PFA factor loadings were similar across populations; one factor >0.6, well-discriminated two factor (instrumental/emotional social support four items each) >0.5. CFA with a priori two-factor structure yielded consistently adequate model fit (root mean squared errors of approximation 0.054-0.074). mMOS-SS construct and discriminant validity were similar across populations and comparable to MOS-SS. Psychometric properties held when restricted to women aged ≥ 65 years.

CONCLUSION

The psychometric properties of the eight-item mMOS-SS were excellent and similar to those of the original 19-item instrument. Results support the use of briefer mMOS-SS instrument; better suited to multidimensional geriatric assessments and specifically in older women with breast cancer.

Insufficient help for activity of daily living disabilities and risk of all-cause hospitalization

OBJECTIVES

To determine whether insufficient help for activity of daily living (ADL) disability, a potentially modifiable condition, significantly increases disabled older adults' risk of future hospital admissions.

DESIGN

Prospective study.

SETTING

Community-living participants with ADL disabilities in the 1994, 1999, and 2004 National Long-Term Care Survey (NLTCS).

PARTICIPANTS

Medicare recipients with one or more ADL disabilities completed 5,884 surveys.

MEASUREMENTS

Times to hospital admission in the year after the NLTCS community survey were obtained from linked Medicare claims. Insufficient ADL help for each ADL limitation was determined from a series of questions common to the three NLTCS community surveys.

RESULTS

Insufficient help for one or more ADL limitations was reported in 22% of surveys. Respondents to 3,629 surveys did not experience a hospital admission in the year after the survey. Of the remaining 2,255 surveys, one admission occurred for 382 surveys, two admissions for 525 surveys, three admissions for 193 surveys, and four or more admissions for 155 surveys. Participants reporting insufficient help were 14% (hazard ratio = 1.14, 95% confidence interval = 1.01-1.28) more likely to experience one or more hospitalizations than those who did not report insufficient help after controlling for demographic characteristics, comorbidities, prior hospitalizations, and level of ADL disability.

CONCLUSION

Self-reports of insufficient help provide prognostic information beyond what typical health assessments can capture. Greater recognition and referral for insufficient help for ADL disability may result in lower rates of hospitalization in a population that is at high risk of hospitalization.

[Potential interactions of rheumatologic medications in the elderly]

Improving the safety of prescriptions for elderly patients is of substantial interest for physicians of all specialities as well as for general health policy and health services. Owing to the increase in drug prescriptions with age and various drug-drug interactions, the number of adverse drug event-related hospital admissions needs to be minimized as far as possible. Therefore, the present overview focuses on the most important potential drug-drug interactions with a specific focus on antirheumatic medications prescribed for elderly patients.

[Factors associated with hospitalization in a cohort of elderly patients included in a home care program]

BACKGROUND AND OBJECTIVE

The objective is to identify the features associated with next year hospital admissions among elderly dependent patients living at home (EDLH) and visited by primary care teams at their home setting.

PATIENTS AND METHOD

Longitudinal cohort study of a sample of EDLH patients admitted to a home care programme delivered by 72 primary care teams. A global health assessment was performed at recruitment in all patients (health and social status, informal and formal carer characteristics and burden of care). We further collected data on visits by primary care personnel and the use of social, emergency and hospital services by EDLH patients throughout one year after recruitment.

RESULTS

A sample of 1,093 EDLH patients was included. 258 (23,6%) patients were admitted to hospital during follow-up and 170 (15.6%) were lost to follow-up. Hospitalised patients received the same volume of primary care and social care services at home than those that were not hospitalised. Independent predictors of high risk of hospital admission were calling and using the after-hours emergency community services (odds ratio [OR]= 2.50, 95% confidence interval [95% CI] 1.56-4.01) and comorbidity as measured by the Charlson Index (OR= 1.16, 95% CI 1.06-1.27) at recruitment. Similarly, female sex (OR= 0.59, 95% CI 0.40-0.85) and high subjective physical health status scores as measured by the SF12 questionnaire (OR 0.97, 95% CI 0.95-0.99) predicted a low-risk of hospital admission.

CONCLUSIONS

Hospital admission among EDLH patients is related to comorbidity, gender, subjective health status and the use of uncoordinated emergency services as measured at recruitment, rather than to the use of services during the one-year follow-up.

Prescribing of potentially inappropriate medications for the elderly: an analysis based on the PRISCUS list

BACKGROUND

The PRISCUS list of potentially inappropriate medications (PIM) for the elderly was published in 2010 and is the first systematically constructed list of this type in Germany. The aim of the present study is to estimate the baseline prevalence of the prescribing of PIM, as defined by the PRISCUS list.

METHODS

Pseudonymized claims data from three statutory health insurances in Germany, which together covered more than 8 million insurants, for the year 2007 were used to determine the age- and sex-standardized one-year period prevalence of PIM among the elderly, as well as the frequency of PIM prescribing per person. The study population included all insurants who were at least 65 years old and were continuously insured throughout the year 2007 or died during that year.

RESULTS

Of the 804 400 elderly persons in the study population, 201 472 (25.0%) received at least one PIM prescription in 2007. The PIM prevalence was higher in women than in men (32.0% vs. 23.3%) and increased with age. The most commonly prescribed PIM were amitriptyline (2.6%), acetyldigoxin (2.4%), tetrazepam (2.0%), and oxazepam (2.0%). 8.8% of all elderly persons received the same PIM drug four or more times in 2007.

CONCLUSION

These data show that PIM were frequently prescribed to elderly persons in Germany before the PRISCUS list was published. Medications on the PRISCUS list are not necessarily absolutely contraindicated, and this study contained no information about the individual risk/benefit analyses that may have been carried out before these drugs were prescribed; thus, no conclusion can be drawn about the prevalence of inappropriate prescribing. Further research is needed to validate the PRISCUS list, which was generated by expert consensus, as a basis for therapeutic guidelines in geriatric medicine.

Risk factors of hospitalization and readmission of patients with COPD in Hong Kong population: analysis of hospital admission records

BACKGROUND

Chronic Obstructive Pulmonary Disease (COPD) accounts for around 4% of all public hospital annual admissions in Hong Kong. By year 2020, COPD will be ranked fifth among the conditions with the highest burden to the society. This study identifies admission and unplanned readmission of COPD patients, factors affecting unplanned readmission, and estimates its cost burden on the public healthcare system in Hong Kong.

METHODS

This is a retrospective study analyzing COPD admissions to all public hospitals in Hong Kong. All admission episodes to acute medical wards with the principal diagnosis of COPD (ICD-9:490-492, 494-496) from January 2006 to December 2007 were captured. Unplanned readmission was defined as an admission which followed a previous admission within 30 days.

RESULTS

In 2006 and 2007, 65497 (8.0%) of episodes from medical wards were identified as COPD admissions, and among these, 15882 (24.2%) were unplanned readmissions. The mean age of COPD patients was 76.81 ± 9.59 years and 77% were male. Unplanned readmission was significantly associated with male gender, receiving public assistance and living in nursing homes while no association was found with the Charlson comorbidity index. Patients who were readmitted unplanned had a significant longer acute length of stay (β = 0.3894, P < 0.001) after adjustment for other covariates.

CONCLUSIONS

Unplanned readmission of COPD patients has a huge impact on the public healthcare system. A systematic approach in programme provision and a good discharge planning process targeting on COPD patients who are at high risk of unplanned readmission are essential.

Review: Health Care Utilization and Costs of Elderly Persons With Multiple Chronic Conditions

This systematic literature review identified and summarized 35 studies that investigated the relationship between multiple chronic conditions (MCCs) and health care utilization outcomes (i.e. physician use, hospital use, medication use) and health care cost outcomes (medication costs, out-of-pocket costs, total health care costs) for elderly general populations. Although synthesis of studies was complicated because of ambiguous definitions and measurements of MCCs, and because of the multitude of outcomes investigated, almost all studies observed a positive association of MCCs and use/costs, many of which found that use/costs significantly increased with each additional condition. Several studies indicate a curvilinear, near exponential relationship between MCCs and costs. The rising prevalence, substantial costs, and the fear that current care arrangements may be inappropriate for many patients with MCCs, bring about a multitude of implications for research and policy, of which the most important are presented and discussed.

The relationship between Elder Risk Assessment Index score and 30-day readmission from the nursing home

OBJECTIVE

Preventable early readmission to the hospital is expensive, and identification of patients at risk is an important task for health care providers. The objective of this study was to determine the relationship between a high score on the Elder Risk Assessment (ERA) Index and 30-day readmission to the hospital in older patients discharged to a nursing home.

PATIENTS

Patients aged > 60 years residing in the community on January 1, 2005 and subsequently admitted to a local nursing home following hospitalization were included. The cohort was selected from all patients in a primary care internal medicine practice in Rochester, MN.

METHODS

This was a retrospective cohort study that used an electronically archived administrative risk index, the ERA Index, which was derived from demographic and clinical factors. The primary outcome was hospital readmission within 30 days following initial admission to a nursing home. The predictor variable was the ERA Index score. Univariate association between the total ERA Index score and individual components of the ERA Index and 30-day rehospitalization were determined. The ERA Index score cutoff with optimal sensitivity and specificity for hospital readmission was also identified.

RESULTS

Of 12 650 patients in the population, 800 were admitted to a facility between 2005 and 2007. Thirty-day readmission was not higher in the group with the highest ERA Index score (top quartile), with a relative risk of 1.72 (95% confidence interval [CI], 0.93-3.56) compared with the lowest-scoring group. The second- and third-highest quartiles were significantly associated with higher 30-day readmission. The individual component of the ERA Index that had the strongest association with early readmission was dementia, with an odds ratio of 2.69 (95% CI, 1.71-4.23). A cutoff score of 5 on the ERA Index resulted in a sensitivity of 0.81 and a specificity of 0.34 with an area under the curve of 0.55.

DISCUSSION

Those with the highest ERA Index score, the top quartile, were not at risk for early hospital readmission. The ERA Index does not predict readmissions from the nursing home to the hospital. There is a need to develop a unique index to predict rehospitalizations in nursing home residents.

Linking home care interventions and hospitalization outcomes for frail and non-frail elderly patients

Structured clinical data generated using standardized terminologies such as the Omaha System are available for evaluating healthcare quality and patient outcomes. New intervention management grouping approaches are needed to deal with large, complex clinical intervention data sets. We evaluated 56 intervention groups derived using four data management approaches with a data set of 165,700 interventions from 14 home care agencies to determine which approaches and interventions predicted hospitalizations among frail (n = 386) and non-frail (n = 1,364) elders. Hospitalization predictors differed for frail and non-frail elders. Low frequencies in some intervention groups were positively associated with hospitalization outcomes, suggesting that there may be a mismatch between the level of care that is needed and the level of care that is provided.

[Factors associated with hospital readmissions in the elderly]

OBJECTIVE

To identify factors associated with hospital readmissions in the elderly.

DESIGN

Observational descriptive study.

SETTING

Health area 3 of Madrid.

PARTICIPANTS

Patients 74 years-old and over with a hospital admission to Hospital Universitario Príncipe de Asturias in 2006. Those with a hospital admission in the previous 6 months were excluded. A total of 1051 patients were identified.

MAIN MEASURES

Hospital Discharge Minimum Basic Data Set and primary care information system were used to develop logistical regression models. The dependent variable was the hospital readmission in a 6 month period. Independent variables were socio-demographics, health status and health care activity.

RESULTS

There were 22.6% readmissions in the first 6 months. Variables associated with higher risk of readmission were, hospital stay (hospital stay greater than 15 days had an OR: 1.73 (95% CI:1.17-2.54), the total number of medicines prescribed to the patient (OR: 1.05; 95% CI:1.01-1.09), having hypertension (OR:1.56; 95% CI:1.11-2.18), heart failure (OR: 1.56; 95% CI:1.00-2.44) or ischemic heart disease (OR: 1.51; 95% CI:1.00-2.26), and the primary care nursing mean attendance pressure (OR: 0.93; 95% CI:0.87-0.98). The model that integrates information from both systems explains a higher number of factors associated with readmission.

CONCLUSIONS

Hospital readmissions have been associated to patient medical condition and to factors related to the health care received. Integrating information from hospital and primary care administrative data bases improves the capacity to identify factors associated with a higher readmission risk.

Utilization of medical healthcare among people receiving long-term care at home or in special accommodation

AIM

To investigate the utilization of medical healthcare, hospital care and outpatient care, during a 1-year period in relation to informal care, multimorbidity, functional status and health complaints and to long-term care at home or in special accommodation among people aged 65+, with one or more hospital admissions and receiving long-term care.

METHOD

A total of 694 people receiving long-term care during the year 2001 were studied. Data were collected by means of the administrative registers Patient Administrative Support in Skåne and PrivaStat and through the study Good Ageing in Skåne. Those at home and those in special accommodation were compared regarding utilization of medical healthcare, informal care, multimorbidity, functional status and health complaints. Multiple logistic regression analysis was performed using at home vs. in special accommodation as the dependent variable and also two multiple linear regression analyses using the number of hospital stays and the number of contacts with the physician in outpatient care separately as dependent variables.

FINDINGS

Those at home were significantly younger (mean age: 81 vs. 84 years) and less dependent in personal and instrumental activities of daily living (PADL/IADL) than those in special accommodation. A larger proportion of those at home was admitted to hospital three times or more (21 vs. 14%) and they had significantly more contacts with physicians in outpatient care (md: 10 vs. md: 7). Informal care was associated with care at home (OR = 0.074) and with utilization of outpatient care (B = 2.045). Dependency in PADL was associated with care in special accommodation (OR = 1.375) and with utilization of hospital care (B = -0.060) and outpatient care (B = -0.581).

CONCLUSION

Medical healthcare seems more accessible to those who live at home are younger, less dependent and who have access to informal caregivers.

Risk factors for hospitalization among community-dwelling primary care older patients: development and validation of a predictive model

BACKGROUND

Unplanned hospitalization often represents a costly and hazardous event for the older population.

OBJECTIVES

To develop and validate a predictive model for unplanned medical hospitalization from administrative data.

RESEARCH DESIGN

Model development and validation.

SUBJECTS

A total of 3919 patients aged > or =70 years who were followed for at least 1 year in primary care clinics of an academic medical center.

MEASURES

Risk factor data and the primary outcome of unplanned medical hospitalization were obtained from administrative data.

RESULTS

Of 1932 patients in the development cohort, 299 (15%) were hospitalized during 1 year follow up. Five independent risk factors were identified in the preceding year: Deyo-Charlson comorbidity score > or =2 [adjusted relative risk (RR) = 1.8; 95% confidence interval (CI): 1.4-2.2], any prior hospitalization (RR = 1.8; 95% CI: 1.5-2.3), 6 or more primary care visits (RR = 1.6; 95% CI: 1.3-2.0), age > or =85 years (RR = 1.4; 95% CI: 1.1-1.7), and unmarried status (RR = 1.4; 95% CI: 1.1-1.7). A risk stratification system was created by adding 1 point for each factor present. Rates of hospitalization for the low- (0 factor), intermediate- (1-2 factors), and high-risk (> or =3 factors) groups were 5%, 15%, and 34% (P < 0.0001). The corresponding rates in the validation cohort, where 328/1987 (17%) were hospitalized, were 6%, 16%, and 36% (P < 0.0001).

CONCLUSIONS

A predictive model based on administrative data has been successfully validated for prediction of unplanned hospitalization. This model will identify patients at high risk for hospitalization who may be candidates for preventive interventions.

Screening of older community-dwelling people at risk for death and hospitalization: the Assistenza Socio-Sanitaria in Italia project

OBJECTIVES

To develop and validate mortality and hospitalization prognostic tools based upon information readily available to primary care physicians (PCPs).

DESIGN

Population-based cohort study. Baseline predictors were patient demographics, a seven-item questionnaire on functional status and general health, use of five or more drugs, and previous hospitalization.

SETTING

Community-based study.

PARTICIPANTS

Prognostic indexes were developed in 2,470 subjects and validated in 2,926 subjects, all community-dwelling, aged 65 and older, and randomly sampled from the rosters of 98 PCPs in Florence, Italy.

MEASUREMENTS

Fifteen-month mortality and hospitalization.

RESULTS

Two scores were derived from logistic regression models and used to stratify participants into four groups. With Model 1, based upon the seven-item questionnaire, mortality rate ranged from 0.8% in the lowest-risk group (0-1 point) to 9.4% in the highest risk group (> or = 3 points), and hospitalization rate ranged from 12.4% to 29.3%; area under the receiver operating characteristic curves (AUC) was 0.75 and 0.60, respectively. With Model 2, considering also drug use and previous hospitalization, mortality and hospitalization rates ranged from 0.3% to 8.2% and from 8.1% to 29.7%, for the lowest-risk to the highest-risk group; the AUC increased significantly only for hospitalization (0.67).

CONCLUSION

Prediction of death and hospitalization in older community-dwelling people can be easily obtained with two indexes using information promptly available to PCPs. These tools might be useful for guiding clinical care and targeting interventions to reduce the need for hospital care in older persons.

Prävention unerwünschter Arzneimittelwirkungen bei älteren Patienten

Adverse drug reactions are among the most common adverse events and a significant cause of preventable morbidity and mortality. As multimorbidity and polypharmacy are frequent in this population, the elderly are at special risk for adverse drug events, although the calendar age has not been proved as independent risk factor in this context. In particular falls and delirium are clinically significant and typical adverse drug events in the elderly. In this review mechanisms and factors which determine adverse drug re actions are described, and possible strategies for an effective prevention are given. This covers pharmacokinetic, pharmacogenetic and pharmacodynamic aspects as well as factors influencing individual adherence to drug therapy. A significant portion of adverse drug reaction may be prevented by a thorough indication and prudent monitoring of pharmacotherapy. Also adherence to pharmacotherapy may be improved by tailored and individual means referring to the patient's needs and expectancies. In the elderly functional limitations such as reduced cognitive abilities, reduced visual acuity and impaired dexterity determine an ineffective pharmacotherapy and medication errors. Hereby these functional limitations are significant predictors of adverse drug events in the context of self-management of pharmacotherapy. Testing of functional abilities as provided in the geriatric assessment is helpful to identify these factors. Among altered pharmacokinetic factors in the elderly, reduced renal function is most important to avoid overdosage. Although a precise measurement of renal function is not possible in a bed-side manner, an estimation of actual renal function utilizing estimation-formulas should always take place.

The assessment of complexity in internal medicine patients. The FADOI Medicomplex Study

BACKGROUND

Although the number of elderly people is progressively increasing in the world, old and very old patients have been under-represented and understudied in trials evaluating the efficacy of chronic illness management models. The usual hospital indicators and practice guidelines do not consider the effects of complexity - co-morbidity, social support, functional and cognitive status, patient adherence to therapy, risk of adverse drug reactions - in these subjects. The aim of this observational, multi-centric cohort study was to carefully assess factors contributing to the complexity of care for patients admitted to internal medicine wards. This was done by evaluating the severity of disease and degree of stability at admission, co-morbidity, age-related impairments, and the need for discharge planning plus post-discharge support.

METHODS

A total of 386 patients from 11 internal medicine wards in Emilia-Romagna and Marche, Italy, enrolled in a given week were evaluated. At admission, the following variables were recorded: demographic characteristics, medical history, global clinical-social prognostic evaluation, co-morbidity, severity of illness, presence of shock or hemodynamic instability, coma, and frequencies and causes of unscheduled hospital re-admission.

RESULTS

Cancer, congestive heart failure, pneumonia, stroke, and chronic obstructive pulmonary disease were the most frequent primary diagnoses. The complexity of our case study was characterized by several concomitant diseases. Over 50% of the patients were considered severe or more than severe, and over 20% extremely severe, with very high co-morbidity indices and illness severity scores. Some 55% of our patients were in need of partial or total care; 10% had some speech impairment, and 63% needed in-home health care after hospital discharge.

CONCLUSIONS

The increasing numbers of elderly patients admitted to internal medicine departments suggests the need for a chronic illness management model, integrating gerontological and geriatric care to improve outcomes. For effective care, future protocols need to take a multi-dimensional, interdisciplinary approach to these patients and to develop a coordinated, integrated plan for treatment and long-term follow-up.

Prospects and Pitfalls: Use of the RAI-HC Assessment by the Department of Veterans Affairs for Home Care Clients

PURPOSE

The U.S. Department of Veterans Affairs has adopted two functional assessment systems that guide care planning: one for nursing home residents (the Resident Assessment Instrument [RAI]) and a compatible one for home care clients (RAI-HC). The purpose of this article is to describe the RAI-HC (often referred to as the Minimum Data Set-Home Care or MDS-HC) and its uses and offer lessons learned from implementation experiences in other settings.

DESIGN AND METHODS

We reviewed implementation challenges associated both with the RAI and the RAI-HC in the United States, Canada, and other adopter countries, and drew on these to suggest lessons for the Department of Veterans Affairs as well as other entities implementing the RAI-HC.

RESULTS

Beyond its clinical utility, there are a number of evidence-based uses for the assessment system. The resident-level data can be aggregated and analyzed, and scales identify clinical conditions and risk for various types of negative outcomes. In addition, the data can be used for other programmatic and research purposes, such as determining eligibility, setting payment rates for contract care, and evaluating clinical interventions. At the same time, there are a number of implementation challenges the Department of Veterans Affairs and other organizations may face.

IMPLICATIONS

Policy makers and program managers in any setting, including state long-term-care programs, who wish to implement an assessment system must anticipate and address a variety of implementation problems with a clear and consistent message from key leadership, adequate training and clinical support for assessors, and appropriate planning and resources for data systems.

Recurrent events counted in evaluations of predictive accuracy

OBJECTIVES

To describe an alternate approach for the calculation of sensitivity and specificity when analyzing the accuracy of screening tools, which can be used when standard calculations may be inappropriate. Sensitivity(ER) (ER denoting event rate) is the number of events correctly predicted, divided by the total number of events. Specificity(ER) is the amount of time that study participants are predicted to be event negative, divided by the total amount of participant observed time. Variance estimates for these statistics are constructed by bootstrap resampling, taking into account event dependence.

METHODS

Standard and alternate approaches for calculating sensitivity and specificity were applied to hospital falls risk screening tool data. In this application, the outcome of interest was a recurrent event, there were multiple applications of the screening tool, delays in screening tool completion, and patients' follow-up durations were unequal.

RESULTS

Application of sensitivity(ER) and specificity(ER) to this data not only provided a clearer description of the screening tool's overall accuracy, but also allowed examination of accuracy over time, accuracy in predicting specific event numbers, and evaluation of the added value that screening tool reapplications may have.

CONCLUSION

Sensitivity(ER) and specificity(ER) provide a valuable approach to screening tool evaluation in the clinical setting.

In a prospective observational study, influenza vaccination prevented hospitalization among older home care patients

OBJECTIVE

The aim of the study is (1) to describe the prevalence of vaccination against influenza in older home care patients and (2) to investigate the protective effect of influenza vaccination for hospitalization events.

STUDY DESIGN AND SETTING

This is an observational study conducted in four large cohorts of elderly patients in home care during the 1998-1999, 1999-2000, 2000-2001, and 2001-2002 influenza seasons. We analyzed data from the Italian Silver Network Home Care project. A total of 2,201 patients were enrolled in the present study. The main outcome measures were prevalence of vaccination against influenza and the rate of hospitalization according to vaccination status and influenza season.

RESULTS

The rate of influenza vaccination was around 48% of the studied sample. During the follow-up including the peak of influenza and the total influenza season, 412 subjects (40%) were hospitalized among vaccinated compared to 610 subjects (59%) among not vaccinated (P<0.001). After adjusting for age, gender, location of home care program, and all the variables significantly different between vaccinated and not-vaccinated subjects, vaccinated subjects were less likely to be hospitalized compared to not-vaccinated subjects (OR, 0.73; 95% CI 0.60-0.90).

CONCLUSIONS

Vaccination against influenza has an important prognostic implication for frail geriatric patients living in the community.

Helping family doctors detect vulnerable caregivers after an emergency department visit for an elderly relative: results of a longitudinal study

BACKGROUND

Family doctors have been ascribed a role in monitoring patients and their informal caregivers. Little is known about the factors that might alert physicians to changing circumstances or needs of the caregivers. The study objective was to examine changes in family caregivers' quality of life following an emergency department (ED) visit by an older community-dwelling relative that might cue doctors to subsequent caregiver distress.

METHODS

A longitudinal study with follow-up at 1- and 4-months was conducted in the EDs of 4 hospitals in Montreal, Canada. Caregivers reported on demographics and quality of life (SF-36). Patients reported on demographics and functional disability. Multiple linear regression for repeated measures was used to evaluate changes in caregiver quality of life and factors related to these changes.

RESULTS

159 caregivers (60.5 yrs +/- 15.8%; 73.0% female), including 68 (42.8%) spouses, 60 (37.7%) adult children, and 31 (19.5%) other relatives participated. Following an initial ED visit by older relatives, caregiver general health and physical functioning declined over time, while mental health status improved. Compared to the other relative caregiver group, spouses were at increased risk for decline in general health, mental health, and physical functioning at 1 month, while adult children were at increased risk for decline in physical health at 1 month.

CONCLUSION

Spouses were most at risk for decline in quality of life. Primary care physicians who become aware of an ED visit by an elderly person may be alerted to possible subsequent deterioration in family caregivers, especially spouses.

Use of Antibiotics in Elderly Patients with Exacerbated COPD: The OLD-Chronic Obstructive Pulmonary Disease Study

OBJECTIVES

To verify how frequently geriatric patients hospitalized for exacerbated chronic obstructive pulmonary disorder (COPD) had not been given antibiotics at home and to identify the relationship between the patient's condition and the prescribing practice.

DESIGN

Observational study.

SETTING

General medicine acute care wards.

PARTICIPANTS

Four hundred fifty-nine elderly patients admitted to the hospital because of exacerbated COPD.

MEASUREMENTS

Indices of severity of COPD exacerbation, such as age, St. George Respiratory Questionnaire (SGRQ) score, number of exacerbations in the previous year, and Cumulative Illness Rating Scale score were considered in the analyses.

RESULTS

Ninety (19.6%) patients had an antibiotic prescribed before admission. The prescription was not associated with older age and was weakly associated with greater comorbidity. Having more than four exacerbations (odds ratio (OR)=2.16, 95% confidence interval (CI)=1.27-3.66) and a SGRQ symptoms subscore greater than 70 (OR=1.61, 95% CI=1.0-2.68) were independent correlates of the use of antibiotics before admission, although 67% of patients reporting more than four exacerbations in the previous year and 73.1% of patients with a SGRQ symptoms subscore greater than 70 had not been given any antibiotic prescription at home.

CONCLUSION

The majority of older patients hospitalized for exacerbated COPD had not been given antibiotics at home, although they had at least one index of exacerbation severity.

Hospitalization and emergency department visits among seniors receiving homecare: a pilot study

Background

Despite the recent growth in home health services, data on clinical outcomes and acute health care utilization among older adults receiving homecare services are sparse. Obtaining such data is particularly relevant in Ontario where an increasing number of frail seniors receiving homecare are awaiting placement in long-term care facilities. In order to determine the feasibility of a large-scale study, we conducted a pilot study to assess utilization of acute health care services among seniors receiving homecare to determine associated clinical outcomes.

Methods

This prospective cohort study followed forty-seven seniors admitted to homecare by two homecare agencies in Hamilton, Ontario over a 12-month period. Demographic information and medical history were collected at baseline, and patients were followed until either termination of homecare services, death, or end of study. The primary outcome was hospitalization. Secondary outcomes included emergency department visits that did not result in hospitalization and death. Rates of hospitalization and emergency department visits without admission were calculated, and univariate analyses were performed to test for potential risk factors. Survival curves for accumulative rates of hospitalization and emergency department visits were created.

Results

312 seniors were eligible for the study, of which 123 (39%) agreed to participate initially. After communicating with the research nurse, of the 123 who agreed to participate initially, 47 (38%) were enrolled in the study. Eleven seniors were hospitalized during 3,660 days of follow-up for a rate of 3.0 incident hospitalizations per 1,000 homecare-days. Eleven seniors had emergency department visits that did not result in hospitalization, for a rate of 3.3 incident emergency department visits per 1,000 homecare-days. There were no factors significantly associated with hospitalization or emergency department visits when adjustment was made for multiple comparisons.

Conclusion

The incidence of hospitalization and visits to the emergency department among seniors receiving homecare services is high. Getting satisfactory levels of enrolment will be a major challenge for larger prospective studies.