ArticleHealth services research1984
Community correlates of hospital use.
Article in Health services research, 1984. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Effects of global budgeting on the distribution of dentists and use of dental care in Taiwan.Health services research · 2004Article
- The impact of utilization management on readmissions among patients with cardiovascular disease.Health services research · 2000Article
- Use of community versus individual socioeconomic data in predicting variation in hospital use.Health services research · 1998Article
- A brief history of health care quality assessment and improvement in the United States.The Western journal of medicine · 1994Article
- The effects of utilization review on hospital use and expenditures: a covariance analysis.Health services research · 1992Article
- Micro-area variation in hospital use.Health services research · 1990Article
- The extremal quotient in small-area variation analysis.Health services research · 1989Article
- Patterns of surgical and nonsurgical hospital use in Michigan communities from 1980 through 1984.Health services research · 1989Article
- Identifying and managing inappropriate hospital utilization: a policy synthesis.Health services research · 1987Review
- Appropriate measures of hospital market areas.Health services research · 1987Article
- Adaptive decisions in the use of hospital beds.Health services research · 1987Article
- Clinical profiles of hospital discharge rates in local communities.Health services research · 1985Article
- Does race affect hospital use?American journal of public health · 1985Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article demonstrates that the variation among communities in hospital use, measured by the total patient-day rate, is overwhelmingly associated with the variation in discharge rates. In particular, this variation is primarily attributable to the variation in nonsurgical discharge rates. While there is residual variance associated with variance in length of stay and interaction effects, more than two-thirds of the variance in the patient-day rates is attributable to variance in discharge rates. Further, little variation is demonstrated across communities in total average length of stay. High use communities have high discharge rates which are not explicable in terms of several need-determining characteristics of the community populations. Discharge-rate variation is demonstrated to be strongly associated with differences in the supply of medical care resources--in particular, acute care beds, surgeons, and nonsurgical specialists.
Indexed as
Identifiers
6746296PMC1068818What 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.