ArticleHealth services research1985
Clinical profiles of hospital discharge rates in local communities.
Article in Health services research, 1985. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Use of community versus individual socioeconomic data in predicting variation in hospital use.Health services research · 1998Article
- The relationship between supply and hospitalization rates for mental illness and substance use disorders.Journal of mental health administration · 1995Article
- Factors affecting interstate use of inpatient care by Medicare beneficiaries.Health services research · 1992Article
- Equity and medical practice variation: relationships between standardised discharge ratios in total and for selected conditions in English districts.Journal of epidemiology and community health · 1992Article
- The extremal quotient in small-area variation analysis.Health services research · 1989Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using comprehensive 1980 data for hospitalization of the 9 million citizens of Michigan's lower peninsula, the authors have previously demonstrated that the discharge rates of local communities differ by a range of 2 to 1. This article seeks to identify differences in the clinical profile of high-use compared to low-use communities. Population-based rates and percentages of total discharges were studied for major clinical activity groups, such as cardiovascular disease, frequent diagnoses, rarely occurring diagnoses, short- and long-stay diagnoses, certain surgical procedures, and major organ groups of the diagnostic classification system. Although high-use communities tend to admit proportionately fewer surgical cases and proportionately more nonsurgical cases, few other such patterns could be demonstrated.
Indexed as
Identifiers
4008271PMC1068871What 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.