Hospitalizations for Conditions Sensitive to Primary Care: A Geo-Epidemiological Profile Analysis of in a Hospital in the Sao Paulo State, From July 2010 to June 2011

The primary health care has been recognized as one of the key components of an effective health system. In its most developed form, the primary health care is the first contact with the health system and the site responsible for the organization of health care over time: individuals, their families and the general population; seeks to provide balance between the two goals of a national health system, which are improving the health of the population and provide equitable distribution of resources. Hospitalizations for primary care sensitive conditions (HPCSC) may be associated with deficiencies of service coverage primary health care or its effectiveness. Hospitalization rates can and should represent a warning sign, triggering mechanisms for analysis and search for explanations for these problems. The use of hospitalization data for HPCSC can serve as indicators of inequality in the health system, contributing to the evaluation of the deployment and implementation of health policies.

Fracture hospitalizations between years 2000 and 2007 in Switzerland: a trend analysis

In Switzerland, the total number and incidence of hospitalizations for major osteoporotic fractures increased between years 2000 and 2007, while hospitalizations due to hip fracture decreased. The cost impact of shorter hospital stays was offset by the increasing cost per day of hospitalization.

Comparative trends in hospitalizations for osteoporotic fractures and other frequent diseases between 2000 and 2008

In Switzerland, the number, incidence, and cost of acute hospitalizations for major osteoporotic fractures (MOF) and major cardiovascular events (MCE) increased in both women and men between 2000 and 2008, although the mean length of stay (LOS) was significantly reduced. Similar trend patterns were observed for hip fractures and strokes (decrease) and nonhip fractures and acute myocardial infarctions (increase).

Dose adjustment in patients with liver cirrhosis: impact on adverse drug reactions and hospitalizations

To assess drug-related problems in patients with liver cirrhosis by investigating the prevalence of inadequately dosed drugs and their association with adverse drug reactions (ADRs) and hospitalizations.

Incidence and direct medical costs of hospitalizations due to osteoporotic fractures in Switzerland

The objective of this study was to estimate the annual direct medical costs of hospitalizations due to osteoporotic fractures in Switzerland. Days of hospital stay in 1992 were quantified using the casuistic of the medical statistics department of VESKA (Vereinigung Schweizerischer Krankenhäuser, the Swiss Hospital Association), which covers 43% of all hospital beds of that country. Number and incidence of total hospitalizations due to fractures were calculated by extrapolating to 100% the 43% VESKA-selected sample. To estimate number and incidence of hospitalizations due to osteoporotic fractures, internationally accepted age-specific osteoporosis attribution rates were applied. According to the latter the probability of a fracture being caused by osteoporosis increases with age. Mean length of stay for all fractures was calculated (= total hospital days divided by number of cases). By multiplying these mean lengths of stay by the number of osteoporosis-related fracture cases, the number of bed-days due to osteoporotic fractures was calculated. To compare the direct medical costs of hospitalization due to osteoporosis with those due to other frequent diseases, days of hospital stay caused by chronic obstructive pulmonary disease (COPD), stroke, acute myocardial infarction and breast cancer were estimated using the same methodology. A total estimate of 63,170 (f: 33,596, m: 29,574) hospitalizations due to fractures (and other osteoporosis-related diagnoses) was calculated, thus leading to overall annual incidence rates of hospitalizations for fractures of 950/100,000 women and 877/100,000 men. In women, 548,615 hospital days were found to be caused by osteoporosis, 353,654 days by COPD, 352,062 days by stroke, 200,669 days by breast carcinoma and 131,331 days by myocardial infarction. In men, COPD caused more hospitalization days (537,164) than myocardial infarction (196,793), stroke (180,524) or osteoporosis (152,857). Taking a mean price for a hospital day in Switzerland of 845 Swiss francs, the annual costs of acute hospitalizations due to osteoporosis and its complications were approximately 600 million Swiss francs (f: 464, m: 130 million Swiss francs) in 1992. We conclude that there is enough economic evidence to justify wide-scale interventions against osteoporosis in Switzerland.

Exploring the periodicity of cardiovascular events in Switzerland: Variation in deaths and hospitalizations across seasons, day of the week and hour of the day

Purpose The purpose of this study is to explore the periodical patterns of events and deaths related to cardiovascular disease (CVD), acute myocardial infarction (AMI) and stroke in Swiss adults (≥18years). Methods Mortality data for period 1969–2007 (N=869,863 CVD events) and hospitalization data for period 1997–2008 (N=959,990 CVD events) were used. The annual, weekly and circadian distribution of CVD-related deaths and events were assessed. Multivariate analysis was conducted using multinomial logistic regression adjusting for age, gender and calendar year and considering deaths from respiratory diseases, accidents or other causes as competitive events. Results CVD deaths and hospitalizations occurred less frequently in the summer months. Similar patterns were found for AMI and stroke. No significant weekly variation for CVD deaths was found. Stratification by age and gender showed subjects aged <65years to present a higher probability of dying on Mondays and Saturday, only for men. This finding was confirmed after multivariate adjustment. Finally, a circadian variation in CVD mortality was observed, with a first peak in the morning (8–12am) and a smaller second peak in the late afternoon (2–6pm). This pattern persisted after multivariate adjustment and was more pronounced for AMI than for stroke. Conclusion There is a periodicity of hospitalizations and deaths related to CVD, AMI and stroke in Switzerland. This pattern changes slightly according to the age and sex of the subjects. Although the underlying mechanisms are not fully identified, preventive measures should take into account these aspects to develop better strategies of prevention and management of CVD.

Avoidable hospitalizations in Switzerland: a small area analysis on regional variation, density of physicians, hospital supply and rurality.

BACKGROUND Avoidable hospitalizations (AH) are hospital admissions for diseases and conditions that could have been prevented by appropriate ambulatory care. We examine regional variation of AH in Switzerland and the factors that determine AH. METHODS We used hospital service areas, and data from 2008-2010 hospital discharges in Switzerland to examine regional variation in AH. Age and sex standardized AH were the outcome variable, and year of admission, primary care physician density, medical specialist density, rurality, hospital bed density and type of hospital reimbursement system were explanatory variables in our multilevel poisson regression. RESULTS Regional differences in AH were as high as 12-fold. Poisson regression showed significant increase of all AH over time. There was a significantly lower rate of all AH in areas with more primary care physicians. Rates increased in areas with more specialists. Rates of all AH also increased where the proportion of residences in rural communities increased. Regional hospital capacity and type of hospital reimbursement did not have significant associations. Inconsistent patterns of significant determinants were found for disease specific analyses. CONCLUSION The identification of regions with high and low AH rates is a starting point for future studies on unwarranted medical procedures, and may help to reduce their incidence. AH have complex multifactorial origins and this study demonstrates that rurality and physician density are relevant determinants. The results are helpful to improve the performance of the outpatient sector with emphasis on local context. Rural and urban differences in health care delivery remain a cause of concern in Switzerland.

Positive affect moderates the effect of negative affect on cardiovascular disease-related hospitalizations and all-cause mortality after cardiac rehabilitation

BACKGROUND Little is known as to whether negative emotions adversely impact the prognosis of patients who undergo cardiac rehabilitation. We prospectively investigated the predictive value of state negative affect (NA) assessed at discharge from cardiac rehabilitation for prognosis and the moderating role of positive affect (PA) on the effect of NA on outcomes. METHODS A total of 564 cardiac patients (62.49 ± 11.51) completed a comprehensive three-month outpatient cardiac rehabilitation program, filling in the Global Mood Scale (GMS) at discharge. The combined endpoint was cardiovascular disease (CVD)-related hospitalizations plus all-cause mortality at follow-up. Cox regression models estimated the predictive value of NA, as well as the moderating influence of PA on outcomes. Survival models were adjusted for sociodemographic factors, traditional cardiovascular risk factors, and severity of disease. RESULTS During a mean follow-up period of 3.4 years, 71 patients were hospitalized for a CVD-related event and 15 patients died. NA score (range 0-20) was a significant and independent predictor (hazard ratio (HR) 1.091, 95% confidence interval (CI) 1.012-1.175; p = 0.023) with a three-point higher level in NA increasing the relative risk by 9.1%. Furthermore, PA interacted significantly with NA (p < 0.001). The relative risk of poor prognosis with NA was increased in patients with low PA (p = 0.012) but remained unchanged in combination with high PA (p = 0.12). CONCLUSION The combination of NA with low PA was particularly predictive of poor prognosis. Whether reduction of NA and increase of PA, particularly in those with high NA, improves outcome needs to be tested.

Depressive Symptoms at Discharge from Rehabilitation Predict Future Cardiovascular-Related Hospitalizations

Objectives: Depression is associated with poor prognosis in patients with cardiovascular disease (CVD). We hypothesized that depressive symptoms at discharge from a cardiac rehabilitation program are associated with an increased risk of future CVD-related hospitalizations. Methods: We examined 486 CVD patients (mean age = 59.8 ± 11.2) who enrolled in a comprehensive 3-month rehabilitation program and completed the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). At follow-up we evaluated the predictive value of depressive symptoms for CVD-related hospitalizations, controlling for sociodemographic factors, cardiovascular risk factors, and disease severity. Results: During a mean follow-up of 41.5 ± 15.6 months, 63 patients experienced a CVD-related hospitalization. The percentage of depressive patients (HADS-D ≥ 8) decreased from 16.9% at rehabilitation entry to 10.7% at discharge. Depressive symptoms at discharge from rehabilitation were a significant predictor of outcome (HR 1.32, 95% CI 1.09–1.60; p =0.004). Patients with clinically relevant depressive symptoms at discharge had a 2.5-fold increased relative risk of poor cardiac prognosis compared to patients without clinically relevant depressive symptoms independently of other prognostic variables. Conclusion: In patients with CVD, depressive symptoms at discharge from rehabilitation indicated a poor cardiac prognosis.

Level of incongruence during cardiac rehabilitation and prediction of future CVD-related hospitalizations plus all-cause mortality

Independent of traditional risk factors, psychosocial risk factors increase the risk of cardiovascular disease (CVD). Studies in the field of psychotherapy have shown that the construct of incongruence (meaning a discrepancy between desired and achieved goals) affects the outcome of therapy. We prospectively measured the impact of incongruence in patients after undergoing a cardiac rehabilitation program. We examined 198 CVD patients enrolled in a 8–12 week comprehensive cardiac rehabilitation program. Patients completed the German short version of the Incongruence Questionnaire and the SF-36 Health Questionnaire to measure quality of life (QoL) at discharge of rehabilitation. Endpoints at follow-up were CVD-related hospitalizations plus all-cause mortality. During a mean follow-up period of 54.3 months, 29 patients experienced a CVD-related hospitalization and 3 patients died. Incongruence at discharge of rehabilitation was independent of traditional risk factors a significant predictor for CVD-related hospitalizations plus all-cause mortality (HR 2.03, 95% CI 1.29–3.20, p = .002). We also found a significant interaction of incongruence with mental QoL (HR .96, 95% CI .92–.99, p = .027), i.e. incongruence predicted poor prognosis if QoL was low (p = .017), but not if QoL was high (p = .74). Incongruence at discharge predicted future CVD-related hospitalizations plus all-cause mortality and mental QoL moderated this relationship. Therefore, incongruence should be considered for effective treatment planning and outcome measurement.

The local safety net, health insurance, preventable hospitalizations and costs: Harris County (Houston), Texas

The aim of this study was to examine the association between determinants of access to healthcare and preventable hospitalizations, based on Davidson et al.'s framework for evaluating the effects of individual and community determinants on access to healthcare. The study population consisted of the low income, non-elderly, hospitalized adults residing in Harris County, Texas in 2004. The objectives of this study were to examine the proportion of the variance in preventable hospitalizations at the ZIP-code level, to analyze the association between the proximity to the nearest safety net clinic and preventable hospitalizations, to examine how the safety net capacity relates to preventable hospitalizations, to compare the relative strength of the associations of health insurance and the proximity to the nearest safety net clinic with preventable hospitalizations, and to estimate and compare the costs of preventable hospitalizations in Harris County with the average cost in the literature. The data were collected from Texas Health Care Information Collection (2004), Census 2000, and Project Safety Net (2004). A total of 61,841 eligible individuals were included in the final data analysis. A random-intercept multi-level model was constructed with two different levels of data: the individual level and the ZIP-code level. The results of this study suggest that ZIP-code characteristics explain about two percent of the variance in preventable hospitalizations and safety net capacity was marginally significantly associated with preventable hospitalizations (p= 0.062). Proximity to the nearest safety net clinic was not related to preventable hospitalizations; however, health insurance was significantly associated with a decreased risk of preventable hospitalization. The average direct cost was $6,466 per preventable hospitalization, which is significantly different from reports in the literature. ^

Effect of primary care availability and health insurance coverage on risk and cost of Preventable Hospitalizations in Harris County

Preventable Hospitalizations (PHs) are hospitalizations that can be avoided with appropriate and timely care in the ambulatory setting and hence are closely associated with primary care access in a community. Increased primary care availability and health insurance coverage may increase primary care access, and consequently may be significantly associated with risks and costs of PHs. Objective. To estimate the risk and cost of preventable hospitalizations (PHs); to determine the association of primary care availability and health insurance coverage with the risk and costs of PHs, first alone and then simultaneously; and finally, to estimate the impact of expansions in primary care availability and health insurance coverage on the burden of PHs among non-elderly adult residents of Harris County. Methods. The study population was residents of Harris County, age 18 to 64, who had at least one hospital discharge in a Texas hospital in 2008. The primary independent variables were availability of primary care physicians, availability of primary care safety net clinics and health insurance coverage. The primary dependent variables were PHs and associated hospitalization costs. The Texas Health Care Information Collection (THCIC) Inpatient Discharge data was used to obtain information on the number and costs of PHs in the study population. Risk of PHs in the study population, as well as average and total costs of PHs were calculated. Multivariable logistic regression models and two-step Heckman regression models with log-transformed costs were used to determine the association of primary care availability and health insurance coverage with the risk and costs of PHs respectively, while controlling for individual predisposing, enabling and need characteristics. Predicted PH risk and cost were used to calculate the predicted burden of PHs in the study population and the impact of expansions in primary care availability and health insurance coverage on the predicted burden. Results. In 2008, hospitalized non-elderly adults in Harris County had 11,313 PHs and a corresponding PH risk of 8.02%. Congestive heart failure was the most common PH. PHs imposed a total economic burden of $84 billion at an average of $7,449 per PH. Higher primary care safety net availability was significantly associated with the lower risk of PHs in the final risk model, but only in the uninsured. A unit increase in safety net availability led to a 23% decline in PH odds in the uninsured, compared to only a 4% decline in the insured. Higher primary care physician availability was associated with increased PH costs in the final cost model (β=0.0020; p<0.05). Lack of health insurance coverage increased the risk of PH, with the uninsured having 30% higher odds of PHs (OR=1.299; p<0.05), but reduced the cost of a PH by 7% (β=-0.0668; p<0.05). Expansions in primary care availability and health insurance coverage were associated with a reduction of about $1.6 million in PH burden at the highest level of expansion. Conclusions. Availability of primary care resources and health insurance coverage in hospitalized non-elderly adults in Harris County are significantly associated with the risk and costs of PHs. Expansions in these primary care access factors can be expected to produce significant reductions in the burden of PHs in Harris County.^

Illinois pneumonia hospitalizations, 1998.

Provides hospitals, health plans, and citizens with meaningful comparative data about hospital-related illnesses and provides pruchasers with information they can use to obtain greater value for their health care purchasing decisions as they relate to pneumonia hospitalizations by presenting information and statistics on such hospitalizations for calendar year 1998 by age group, gender, payer type, hospital health service area, and trend section, covering the years 1991 through 1998.

A reliable and robust algorithm to identify episodes of hospitalizations using RAMQ medical services claims : methodology issues & data validation

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.