ArticleHealth services research1992
Testing the null hypothesis in small area analysis.
Article in Health services research, 1992. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Determinants and changes associated with aldosterone breakthrough after angiotensin II receptor blockade in patients with type 2 diabetes with overt nephropathy.Clinical journal of the American Society of Nephrology : CJASN · 2013Trial
- Measuring the level of compulsory hospitalisation in mental health care: The performance of different measures across areas and over time.International journal of methods in psychiatric research · 2021Article
- Is there much variation in variation? Revisiting statistics of small area variation in health services research.BMC health services research · 2009Article
- Effect of motor vehicle emissions on respiratory health in an urban area.Environmental health perspectives · 2002Article
- Regional variations in the use of home care services in Ontario, 1993/95.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 1999Article
- Estimating potential savings in cancer deaths by eliminating regional and social class variation in cancer survival in the Nordic countries.Journal of epidemiology and community health · 1997Article
- Distribution of physicians in Ontario. Where are there too few or too many family physicians and general practitioners?Canadian family physician Medecin de famille canadien · 1997Article
- Small area variations in health care delivery in Maryland.Health services research · 1995Article
- Analysis of variations in mortality rates with small numbers.Health services research · 1994Article
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
Abstract
The goal of small area analysis is often to demonstrate that hospital admission rates or procedure rates vary greatly among regions, suggesting the occurrence of unnecessary admissions or procedures in some regions. Recent articles have shown that such variation may be largely due to chance, even if no underlying differences exist among the small areas; thus, it is important to test if the observed variation is larger than expected by chance. In this article we discuss how the appropriate method for testing the null hypothesis depends on the distribution of the number of admissions at the person level. If it is not possible for an individual to have more than one admission for a given procedure, the appropriate test is a simple chi-square test. If multiple admissions are possible, a modified chi-square test can be used to account for the excess variability due to multiple admissions. Failure to make the correct modification to the chi-square test in this latter case can result in spurious results. This underscores the importance of collecting data on multiple admissions in order to estimate the distribution of the number of admissions at the individual-patient level.
Indexed as
Identifiers
1500287PMC1069879What 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.