Dataset Information

Empirical examination of the indicator 'pediatric gastroenteritis hospitalization rate' based on administrative hospital data in Italy.

ABSTRACT:

Background

Awareness of the importance of strengthening investments in child health and monitoring the quality of services in the pediatric field is increasing. The Pediatric Quality Indicators developed by the US Agency for Healthcare Research and Quality (AHRQ), use hospital administrative data to identify admissions that could be avoided through high-quality outpatient care. Building on this approach, the purpose of this study is to perform an empirical examination of the 'pediatric gastroenteritis admission rate' indicator in Italy, under the assumption that lower admission rates are associated with better management at the primary care level and with overall better quality of care for children.

Methods

Following the AHRQ process for evaluating quality indicators, we examined age exclusion/inclusion criteria, selection of diagnostic codes, hospitalization type, and methodological issues for the 'pediatric gastroenteritis admission rate'. The regional variability of hospitalizations was analyzed for Italian children aged 0-17 years discharged between January 1, 2009 and December 31, 2011. We considered hospitalizations for the following diagnoses: non-bacterial gastroenteritis, bacterial gastroenteritis and dehydration (along with a secondary diagnosis of gastroenteritis). The data source was the hospital discharge records database. All rates were stratified by age.

Results

In the study period, there were 61,130 pediatric hospitalizations for non-bacterial gastroenteritis, 5,940 for bacterial gastroenteritis, and 38,820 for dehydration. In <1-year group, the relative risk of hospitalization for non-bacterial gastroenteritis was 24 times higher than in adolescents, then it dropped to 14.5 in 1- to 4-year-olds and to 3.2 in 5- to 9-year-olds. At the national level, the percentage of admissions for bacterial gastroenteritis was small compared with non-bacterial, while including admissions for dehydration revealed a significant variability in diagnostic coding among regions that affected the regional performance of the indicator.

Conclusions

For broadest application, we propose a 'pediatric gastroenteritis admission rate' that consists of including bacterial gastroenteritis and dehydration diagnoses in the numerator, as well as infants aged <3 months. We also suggest adjusting for age and including day hospital admissions. Future evaluation by a clinical panel at the national level might be helpful to determine appropriate application for such measures, and make recommendations to policy makers.

SUBMITTER: Lenzi J

PROVIDER: S-EPMC3923239 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Empirical examination of the indicator 'pediatric gastroenteritis hospitalization rate' based on administrative hospital data in Italy.

Lenzi Jacopo J Luciano Lorenza L McDonald Kathryn Mack KM Rosa Simona S Damiani Gianfranco G Corsello Giovanni G Fantini Maria Pia MP

Italian journal of pediatrics 20140211

<h4>Background</h4>Awareness of the importance of strengthening investments in child health and monitoring the quality of services in the pediatric field is increasing. The Pediatric Quality Indicators developed by the US Agency for Healthcare Research and Quality (AHRQ), use hospital administrative data to identify admissions that could be avoided through high-quality outpatient care. Building on this approach, the purpose of this study is to perform an empirical examination of the 'pediatric g ...[more]

PMID: 24512747

Similar Datasets

Project description:BackgroundQuality assessment in pediatric care has recently gained momentum. Although many of the approaches to indicator development are similar regardless of the population of interest, few nationwide sets of indicators specifically designed for assessment of primary care of children exist. We performed an empirical analysis of the validity of "Pediatric Asthma Hospitalization Rate" indicator under the assumption that lower admission rates are associated with better performance of primary health care.MethodsThe validity of "Pediatric Asthma Hospitalization Rate" indicator proposed by the Agency for Healthcare Research and Quality in the Italian context was investigated with a focus on selection of diagnostic codes, hospitalization type, and risk adjustment. Seasonality and regional variability of hospitalization rates for asthma were analyzed for Italian children aged 2-17 years discharged between January 1, 2009, and December 31, 2011 using the hospital discharge records database. Specific rates were computed for age classes: 2-4, 5-9, 10-14, 15-17 years.ResultsIn the years 2009-2011 the number of pediatric hospitalizations for asthma was 14,389 (average annual rate: 0.52 per 1,000) with a large variability across regions. In children aged 2-4 years, the risk of hospitalization for asthma was 14 times higher than in adolescents, then it dropped to 4 in 5- to 9-year-olds and to 1.1 in 10- to 14-year-olds. The inclusion of diagnoses of bronchitis revealed that asthma and bronchitis are equally represented as causes of hospital admissions and have a similar seasonality in preschool children, while older age groups experience hospital admissions mainly in spring and fall, this pattern being consistent with a diagnosis of atopic asthma. Rates of day hospital admissions for asthma were up to 5 times higher than the national average in Liguria and some Southern regions, and close to zero in some Northern regions.ConclusionsThe patterns of hospitalization for pediatric asthma in Italy showed that at least two different indicators are needed to measure accurately the quality of care provided to children. The candidate indicators should also include day hospital admissions to better assess accessibility. Future evaluation by a structured clinical panel review at the national level might be helpful to refine indicator definitions and risk groupings, to determine appropriate application for such measures, and to make recommendations to policy makers.

Project description:BackgroundChildhood cancer relies heavily on inpatient hospital services to deliver tumor-directed therapy and manage toxicities. Hospitalizations have increased over the past decade, though not uniformly across childhood cancer diagnoses. Analysis of the reasons for admission of children with cancer could enhance comparison of resource use between cancers, and allow clinical practice data to be interpreted more readily. Such comparisons using nationwide data sources are difficult because of numerous subdivisions in the International Classification of Diseases Clinical Modification (ICD-9) system and inherent complexities of treatments. This study aimed to develop a systematic approach to classifying cancer-related admissions in administrative data into categories that reflected clinical practice and predicted resource use.MethodsWe developed a multistep algorithm to stratify indications for childhood cancer admissions in the Kids Inpatient Databases from 2003, 2006 and 2009 into clinically meaningful categories. This algorithm assumed that primary discharge diagnoses of cancer or cytopenia were insufficient, and relied on procedure codes and secondary diagnoses in these scenarios. Clinical Classification Software developed by the Healthcare Cost and Utilization Project was first used to sort thousands of ICD-9 codes into 5 mutually exclusive diagnosis categories and 3 mutually exclusive procedure categories, and validation was performed by comparison with the ICD-9 codes in the final admission indication. Mean cost, length of stay, and costs per day were compared between categories of indication for admission.ResultsA cohort of 202,995 cancer-related admissions was grouped into four categories of indication for admission: chemotherapy (N=77,791, 38%), to undergo a procedure (N=30,858, 15%), treatment for infection (N=30,380, 15%), or treatment for other toxicities (N=43,408, 21.4%). The positive predictive value for the algorithm was >95% for each category. Admissions for procedures had higher mean hospital costs, longer hospital stays, and higher costs per day compared with other admission reasons (p<0.001).ConclusionsThis is the first description of a method for grouping indications for childhood cancer admission within an administrative dataset into clinically relevant categories. This algorithm provides a framework for more detailed analyses of pediatric hospitalization data by cancer type.

Project description:BackgroundRoemer's Law, a widely cited principle in health care policy, states that hospital beds that are built tend to be used. This simple but powerful expression has been invoked to justify Certificate of Need regulation of hospital beds in an effort to contain health care costs. Despite its influence, a surprisingly small body of empirical evidence supports its content. Furthermore, known geographic factors influencing health services use and the spatial structure of the relationship between hospital bed availability and hospitalization rates have not been sufficiently explored in past examinations of Roemer's Law. We pose the question, "Accounting for space in health care access and use, is there an observable association between the availability of hospital beds and hospital utilization?"MethodsWe employ an ecological research design based upon the Anderson behavioral model of health care utilization. This conceptual model is implemented in an explicitly spatial context. The effect of hospital bed availability on the utilization of hospital services is evaluated, accounting for spatial structure and controlling for other known determinants of hospital utilization. The stability of this relationship is explored by testing across numerous geographic scales of analysis. The case study comprises an entire state system of hospitals and population, evaluating over one million inpatient admissions.ResultsWe find compelling evidence that a positive, statistically significant relationship exists between hospital bed availability and inpatient hospitalization rates. Additionally, the observed relationship is invariant with changes in the geographic scale of analysis.ConclusionsThis study provides evidence for the effects of Roemer's Law, thus suggesting that variations in hospitalization rates have origins in the availability of hospital beds. This relationship is found to be robust across geographic scales of analysis. These findings suggest continued regulation of hospital bed supply to assist in controlling hospital utilization is justified.

Dataset Information

Empirical examination of the indicator 'pediatric gastroenteritis hospitalization rate' based on administrative hospital data in Italy.

Background

Methods

Results

Conclusions

Publications

Empirical examination of the indicator 'pediatric gastroenteritis hospitalization rate' based on administrative hospital data in Italy.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets