ArticleHealth services research1998
Use of community versus individual socioeconomic data in predicting variation in hospital use.
Article in Health services research, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Understanding the effects of socioeconomic status along the breast cancer continuum in Australian women: a systematic review of evidence.International journal for equity in health · 2017Pooled it
- Long-Term Behavioral Outcomes after a Randomized, Clinical Trial of Counselor-Assisted Problem Solving for Adolescents with Complicated Mild-to-Severe Traumatic Brain Injury.Journal of neurotrauma · 2015Trial
- End-of-life cohorts from the Dartmouth Institute: risk adjustment across health care markets, the relative efficiency of chronic illness utilization, and patient experiences near the end of life.Research in health services & regions · 2024Review
- Enrichment of a Data Lake to Support Population Health Outcomes Studies Using Social Determinants Linked EHR Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Mediating Effects of Neighborhood-Level Socioeconomic Deprivation on the Association Between Race/Ethnicity and Advanced Hepatocellular Carcinoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Prognostic Factors Affecting Long-Term Outcomes After Elbow Dislocation: A Longitudinal Cohort Study.Journal of hand surgery global online · 2021Article
- Observational
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- Comparing Resource Use in Medical Admissions of Children With Complex Chronic Conditions.Medical care · 2019Article
- Is a Patient's Current Address of Record a Reasonable Measure of Neighborhood Deprivation Exposure? A Case for the Use of Point in Time Measures of Residence in Clinical Care.Health equity · 2018Article
- Estimating Long-Term Care Costs among Thai Elderly: A Phichit Province Case Study.Journal of aging research · 2018Article
- Introduction of an Area Deprivation Index Measuring Patient Socioeconomic Status in an Integrated Health System: Implications for Population Health.EGEMS (Washington, DC) · 2016Article
- Health outcomes in US children with abdominal pain at major emergency departments associated with race and socioeconomic status.PloS one · 2015Article
- Predictors of neighborhood risk for late-stage melanoma: addressing disparities through spatial analysis and area-based measures.The Journal of investigative dermatology · 2014Article
- Determinants of surgical decision making: a national survey.American journal of surgery · 2013Article
- Association of race and ethnicity with management of abdominal pain in the emergency department.Pediatrics · 2013Article
- Article
- Length of stay and hospital costs among patients admitted to hospital by family physicians.Canadian family physician Medecin de famille canadien · 2012Article
- Does long-term care use within primary health care reduce hospital use among older people in Norway? A national five-year population-based observational study.BMC health services research · 2011Article
- Causes of death and relative survival of older women after a breast cancer diagnosis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectives(1) To examine the association of socioeconomic characteristics (SES) with hospitalization by age group, and when using measures of SES at the community as opposed to the individual level. (2) Thus, to support the inference that socioeconomic factors are important in the analysis of small area utilization data and address potential criticisms of this conclusion. DATA SOURCES: The 1989 Michigan Inpatient Database (MIDB), the 1990 U.S. Census, the 1989 Area Resource File (ARF), and the 1990 National Health Interview Survey (NHIS). STUDY
designA qualitative comparison of socioeconomic predictors of hospitalization in two cross-sectional analyses when using community as opposed to individual socioeconomic characteristics was done. DATA EXTRACTION. Hospitalizations (excluding delivery) were extracted by county from the MIDB and by individual from the NHIS. SES variables were extracted from the U.S. Census for communities and from the NHIS for individuals. Measures of employment for communities were from the ARF and information on health insurance and health status of individuals from the NHIS. PRINCIPAL
findingsBoth analyses show similar age-specific patterns for income and education. The effects were greatest in young adults, and diminished with increasing age. Accounting for multiple admissions did not change these conclusions. In the individual-level data the addition of variables representing health and insurance status substantially diminished the size of the coefficients for the socioeconomic variables.
conclusionsBy comparison to parallel individual-level analyses, small area analyses with community-level SES characteristics appear to represent the effect of individual-level characteristics. They are also not substantially affected by the inability to track individuals with multiple readmissions across hospitals. We conclude that the impact of SES characteristics on hospitalization rates is consistent when measured by individual or community-level measures and varies substantially by age. These variables should be included in analyses of small area variation.
Indexed as
Identifiers
9618670PMC1070263What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.