PubMed Health⌕ Search

Biomedical subjects

J Librero

Publications and source records attributed to J Librero.

16 recordsLinked to original sources
PubMed2003

[Variations in the use of hospital resources in treating patients with chronic obstructive pulmonary disease].

AIM: To analyze factors associated with the length of stay and pharmaceuticals expense for patients admitted with chronic obstructive pulmonary disease (COPD) and to evaluate whether treatment by different physicians means greater or less use of hospital resources. METHODS: We retrospectively studied a cohort of 1033 COPD patients admitted to the Hospital de Mataró, Catalonia, Spain, during the years 1996 through 1998 in order to analyze factors associated with length of stay and pharmaceuticals use. We used the Minimum Basic Data Set, laboratory databases, and pharmacy single-dose database. We also analyzed the differences among patients treated by different physicians and developed multiple linear regression models to evaluate differences in treatment between one physician and another. RESULTS: The length of stay increased with patient age, the number of times admitted, the presence of atrial fibrillation or respiratory insufficiency, ventilatory alterations, chronicity, a forced expiratory volume in 1 second less than 50% of predicted, and treatment by certain physicians. Medication costs showed a similar pattern. Although the characteristics of patients treated by different physicians were quite homogeneous, the median length of stay varied from 9 to 11 days depending on the physician, while the median cost for medication varied from;43.62 to;54.39 (from $41.07 to $51.21). After removing the effects of several covariables by multiple regression analysis, an effect of physician persisted. CONCLUSIONS: Significant differences in length of hospital stay and consumption of pharmaceuticals are related to attending physician and continue to have an important effect after controlling for the differences in the severity of patient status.

Adult↗
PubMed2001

[Abstruse comparisons in abstracts of clinical trials in Spanish medical journals].

BACKGROUND: To describe the frequency of abstracts of clinical trials whose information does not allow to assess the clinical relevance of the comparisons made. METHOD: Review of 64 trials published in the journals Atención Primaria and Medicina Clínica. Abstracts were defined as quantitative or qualitative abtruse when it was not possible to identify the numerical values used in the comparison or when scales were included without specifying their range and clinical implications, respectively. RESULTS: 43.7% of abstracts were deemed quantitively abstruse, and 75% of 8 including scales were deemed qualitatively abstruse. CONCLUSIONS: Abstracts of clinical trials should present results in a way that makes it possible to evaluate

Clinical Trials as Topic↗
PubMed2000

Inter-hospital variations in caesarean sections. A risk adjusted comparison in the Valencia public hospitals.

BACKGROUND: The aim of this study was to describe the variability in caesarean rates in the public hospitals in the Valencia Region, Spain, and to analyse the association between caesarean sections and clinical and extra-clinical factors. METHODS: Analysis of data contained in the Minimum Basic Data Set (MBDS) compiled for all births in 11 public hospitals in Valencia during 1994-1995 (n=36 819). Bivariate and multivariate analyses were used to evaluate the association between caesarean section rates and specific risk factors. The multivariate model was used to construct predictions about caesarean rates for each hospital, for comparison with rates observed. RESULTS: Caesarean rates were 17.6% (inter-hospital range: 14.7% to 25.0%), with ample variability between hospitals in the diagnosis of maternal-fetal risk factors (particularly dystocia and fetal distress), and the indication for caesarean in the presence of these factors. Multivariate analysis showed that maternal-fetal risk factors correlated strongly with caesarean section, although extra-clinical factors, such as the day of the week, also correlated positively. After adjusting for the risk factors, the inter-hospital variation in caesarean rates persisted. CONCLUSIONS: Although certain limitations (imprecision of some diagnoses and information biases in the MBDS) make it impossible to establish unequivocal conclusions, results show a high degree of variability among hospitals when opting for caesarean section. This variability cannot be justified by differences in obstetric risks.

Cesarean Section↗
PubMed1999

Chronic comorbidity and outcomes of hospital care: length of stay, mortality, and readmission at 30 and 365 days.

This article evaluates the behavior of an adaptation of the Charlson Index (CHI) applied to administrative databases to measure the relationship between chronic comorbidity and the hospital care outcomes of length of stay (LOS), in-hospital mortality, and emergency readmissions at 30 and 365 days. These outcomes were analyzed in 106,673 hospitalization episodes whose records are registered in a minimum basic data set maintained by the public health authorities of the community of Valencia, Spain. The highest comorbidity measured by the CHI was associated with greater LOS and in-hospital mortality and increased readmission at 30 and 365 days. The rate of readmissions at 1 year dropped, however, in the group with the greatest comorbidity, probably owing to an increase in mortality after hospitalization. While comorbidity does appear to increase the risk of adverse outcomes in general and mortality and readmission specifically, the second outcome is only possible if the first has not occurred. For this reason, information and selection biases derived from administrative databases, or from the CHI itself, should be taken into account when using and interpreting the index.

Adolescent↗
PubMed1996

[Factors associated with emergency hospital readmission in digestive and hepatobiliary diseases].

OBJECTIVE: To describe the epidemiological characteristics of emergency readmissions due to digestive and hepatobiliary diseases within the hospitals of the Valencian Health Service (VHS), Spain, and to examine their relationship with defined variables related to patients or to previous periods of hospitalization. PATIENTS AND METHODS: Out of the 212,947 episodes of patient hospitalization included in the Uniform Hospital Discharge Data Set of the VHS, excluding those persons under 16 years of age, those who had died in hospital or were discharged due to being transferred to another hospital and also excluding the two hospitals whose record were of poor quality, 18,075 patients were chosen whose principal diagnosis on first admission was one of a digestive or hepatobiliary disease. After a descriptive analysis the relationship was explored between risk of readmission and the variables of age, gender, hospital funding, whether the environment is a rural or urban one, the hospital itself, the diagnostic group, comorbidity, type of admission, length of stay, presence of surgical procedure, discharge criteria and service using an independent Cox Proportional Hazards analysis for each variable and a second Cox analysis adjusted for selected variables. RESULTS: 16.9% of those patients discharged for digestive disorders are re-admitted within a year. The risk of readmission is associated with age, comorbidity, male sex and chronic diseases and, with respect to the previous episode of hospitalization, it is associated with emergency admission, longer period of hospitalization, non-surgical discharge and admission to certain hospitals. CONCLUSION: The risk of emergency readmission is associated with defined variables relating to patient or previous episodes of hospitalization connected with a more serious condition. The risk adjustment carried out could be used in order to identify high-risk cases which could then be paid special attention in order to delay or prevent readmission and as an indirect indicator for use in monitoring the quality of hospital care.

Adolescent↗
PubMedDate not supplied

[Declaring conflict of interest in scientific publications. Time for the spotlights and stenographers in the backroom of research financed by the industry?].

The term conflict of interests is applied to those situations in which the research validity and integrity may be influenced by a secondary interest, typically an economic benefit, but also an ideological, personal or professional interest. In this work we describe some ways of conflict of interests--particularly those related with the publication of clinical and epidemiological research supported by the industry--and the regulation of this problem from medical journals, including references to the situation in Spain. The conflict of interest is not synonymous of scientific fraud neither malpraxis in research, but in the medical literature there exists enough evidence to consider it as an important source of biases. The usual form of facing the conflict of interests is to make it public, so that readers can judge its importance. The editorial policies of the Spanish journals are, in general, far from giving importance to this problem, an aspect which could favor an attitude of the investigators, to maintain funding or to obtain new contracts, unnecessarily subordinated to the interests of the companies.

Conflict of Interest↗
PubMedDate not supplied

[Automated analysis of the quality of the minimum set of basic data. Implications for risk-adjusting systems].

SETTING: Together with the age of the patient, the main diagnosis, secondary diagnosis (comorbility and complications) and the procedures performed are the critical variables for risk-adjusting. Therefore, its correct incorporation to CMBD is of great importance. However, several studies, especially in the United States, but also in Spain, have made evident the existence of important problems of quality in these data, difficulties for its improvement and the limitations which this has to assess the quality or the efficiency of hospitals. The objective of this study is to approach the quality of administrative and clinical collected in the CMBD of the Valencian Health Service (VHS) using an automatized process of analysis of data from the same CMBD, and discuss the implications for its management, as well as possible improvement strategies. MATERIAL AND METHOD: An automatized analysis of the quality of CMBD 1994 of the VHS (20 hospitals, 241,341 admissions) was performed, using indicators of valid fulfilling of field values, relationship between fields of the same episode, relationship between variables in different episodes and volume and specificity of clinical information. RESULTS: The analysed CMBD contains few errors in management variables, with the exception of residence, but it shows important problems of volume and specificity of clinical information, as well as a high variability in its fulfilling and quality in different hospitals. CONCLUSIONS: The quality of the clinical data of CMBD may be biased in its use with management aims or when assessing quality, as well as in epidemiological studies, evaluation of technology or use of services.

Databases, Factual↗
PubMedDate not supplied

[Do chronic diseases prevent intra-hospital mortality? Paradoxes and biases in information about hospital morbidity].

OBJECTIVE: Previous studies have demonstrated how the incomplete codification of the secondary diagnostics can bias the estimation of the risk of in-hospital death based on clinical-administrative databases. The objective of this study is to measure the trend of the association between in-hospital mortality and the secondary diagnostics register in the Minimum Basic Data Set (MBDS) of the Valencian Community. METHODS: The 14,161 admissions of persons over the age of 64 were extracted from the MBDS (years 1993-94) for: stroke (S), bacterial pneumonia (BN), myocardial infarction (MI) and congestive heart failure (CHF). The relation was measured between the availability of some additional diagnostics (selected to dispose of a group of heterogeneous chronic and acute processes), and the risk of in-hospital death, relative risk (RR) and adjusted odds ratios (aOR) were calculated per age, gender, length of stay and number of diagnoses. RESULTS: Many of the conditions are associated with a reduced risk of death such as the diabetes mellitus (Mortality for stroke, RR: 0.58; aOR: 0.53), old myocardial infarction (mortality for myocardial infarction, RR: 0.40; aOR: 0.35) or hypertension (mortality for stroke, RR: 0.54; aOR: 0.49): this also occurs in angina, coronary atherosclerosis, aortic and mitral valve disease, atrial fibrillation, chronic obstructive pulmonary disease and urinary tract infection. CONCLUSIONS: Although there maybe other explanations, such as the existence of a bias in the hospital selection, the explanation which is most in agreement with the findings is the presence of an information bias in the MBDS due to the tendency to register less information about chronic antecedents of the persons who die.

Aged↗
PubMedDate not supplied

[Chronic comorbidity and homogeneity in diagnostic related groups].

OBJECTIVE: [corrected] One of the ways to compare the efficiency of different hospitals and services is to evaluate Diagnostic Related Groups (DRGs), with the hypothesis that patients in the same RDG will present homogeneous behavior with respect to length of stay. The object of this study was to evaluate in the context os the National Health System the internal variability of specific DRGs in terms of the patients' comorbidity. METHODS: On the basis of various comorbidity scores measured with the Charlson index (ChI), we analyzed length of stay, inhospital mortality and emergency readmissions at 30 and 365 days in 106.673 hospitalizations (excluding subjects younger than 17 years of age, and obstetrics and psychiatric patients) in 12 hospitals, and in 17 DRGs selected on the basis of their greater frequency and comorbidity. RESULTS: In the aggregated analysis, length of stay (from 8.5 days in patients with no comorbidity to 17.0 days in patients with scores higher than 4) and inhospital mortality rates (from 3.7% in patients with no comorbidity to 17.6% in patients with highest score) increased significantly with each level of the Charlson index. The readmission rate at 30 days rose from 4.7% to 10.9% also in step with increases in comorbidity scores. Readmissions at one year varied from 14.8% in patients with scores of 0 to 35.2% in patients with scores of 3-4, and dropped to 27.9% in patients with scores higher than 4. When analysing different DRGs, 8 of the 17 groups studied showed a significantly higher length of stay with increased comorbidity scores. Some DRGs also showed intra-group variability with respect to mortality and readmission, particularly at 365 days. CONCLUSIONS: Some DRGs show significant internal variability in terms of comorbidity that may be generating a false worse evaluation of the efficiency of hospitals that treat patients with higher comorbidity.

Adolescent↗
PubMedDate not supplied

[The quality assessment from the minimum basic hospital discharge data set].

INTRODUCTION: Risk adjustment is essential before comparing patient outcomes across hospitals. With this aim several risk adjustment systems have been developed, including the well-known diagnosis related groups. MATERIAL AND METHODS: Narrative review on risk assessment framework from administrative databases, including data quality and system pitfalls. RESULTS: The risk adjustment systems developed for cost-control aims to group different patient typologies in relation to the predicted use of resources with the aim to develop incentives to cost-reduction; the systems developed for measuring effectiveness have the objective to assess the health care quality. Both systems are useful for clinical, management and health public uses, but they have several pitfalls and their results should be interpreted cautiously. CONCLUSIONS: Managers and physicians should consider the risk adjustment systems as a valuable resource for decision-making and reducing uncertainty, but not as the scientific referee of hospital quality or hospital efficiency.

Cost-Benefit Analysis↗
PubMedDate not supplied

[Senior citizen health conditions and hospitalization on geriatric, general and surgical floors, a population study conducted in Toledo].

BACKGROUND: The health condition and some clinical aspects configure a group of senior citizens in need of further care who could benefit from specialized geriatric care, although no consensus exists as to how to identify these patients. The aim of this study is to describe the profile of those patients over 64 years of age who are hospitalized in a geriatric unit and to compare this profile to the senior citizens hospitalized in general medical and surgical units. METHOD: A cohort representative of the population over age 64 in the Judicial District of Toledo (n = 3214) was studied over an eighteen-month period for the purpose of identifying the income and length of stays at the public hospitals in the health care district in question. The health condition-related variables were gathered by means of personal interviews, and the income and the different aspects thereof by way of hospital admissions department data. RESULTS: A total of 410 individuals were admitted (12.8%), 168 patients (30.7%) in geriatrics, 204 (37.3%) in medical units and 174 (32.0%) in surgical units. In geriatrics, the average age was significantly higher (age 77.4), there being no differences in the average length of stay (12.8 days; CI 95%) 10.6-14.0), 44 patients (8.1%) having died, 26 (59.1%) hospitalized in geriatrics. More females, younger patients having minor vision and hearing impairments were admitted to the surgical units. In geriatrics, as compared to the medical units, more patients over 80 years of age, living in senior citizen living facilities, having no spouse, moderate-to-severe functional dependence, impaired cognitive function, depression, poor quality of life and scanty social resources. CONCLUSIONS: No differences were found to exist between the health conditions of those over age 64 who were hospitalized in non-surgical and surgical units. In geriatrics, as compared to the other groups of units, the patients were older, in worse condition, had a higher death rate and similar average length of stay.

Aged↗
PubMedDate not supplied

[Factors associated with the use and adaptation of hospitalization in people over than 64 years of age].

BACKGROUND: Some social, medical or functional aspects are associated with a greater use of health care resources, although this does not necessarily imply an inappropriate usage of the same. The aim of this research is that of ascertaining the influence of health condition on hospital stays and inappropriate stays among the population over 64 years of age. METHODS: A cohort representative of the population over age 64 in the Judicial District of Toledo (n = 3214) whose health condition had been previously evaluated was studied over an eighteen-month period identifying the income and length of stays at the public hospitals, the appropriateness of which was evaluated by the Appropriateness Evaluation Protocol. Associations analyzed were those of the cohort socio-demographic characteristics, health condition-related variables and morbidity with frequency and hospitalization rates and with inappropriate stays and admissions. RESULTS: During the 18 months of study 410 individuals were hospitalized, who generated 546 admissions (frequency rate = 17.0 admissions/100 rooms) and 7015 stay days (hospitalization rate = 218.3 stays/100 rooms), 18.9% of the admissions and 49.9% of the stays were evaluated as inappropriate. Hospitalization was associated with a worse health condition, institutionalization, male sex, certain pathologies and previous health services usage. Patients characteristics were not associated with the percentage of inappropriate stays. 97.5% of inappropriate stays were attributed to hospital scheduling problems and physicians' practices. CONCLUSIONS: Socio-demographic factors, morbidity, health condition and previous health service usage are shown as good hospitalization predictors for senior citizens, but these factors are not related to inappropriate hospitalization usage.

Age Factors↗