The phrase "analysis of hospitalizations" is correct and usable in written English.
It can be used in contexts related to healthcare, research, or public health discussions where the examination of hospitalization data is relevant.
Example: "The analysis of hospitalizations revealed significant trends in patient demographics over the past decade."
Alternatives: "examination of hospital admissions" or "study of hospital stays".
In this paper, we present a detailed analysis of hospitalizations over the first five years.
These codes include most of those used by Edelsberg et al [ 25]. in their analysis of hospitalizations caused by SSTIs, plus erysipelas, abscess of breast, nonpurulent mastitis, folliculitis and hydradenitis.
One important aspect of this study was our decision to restrict the analysis of hospitalizations, KPSC claims, and deaths to ICD9 codes 480 487 codes often used to monitor influenza trends (15 ).
An analysis of hospitalizations among a national sample of Medicare beneficiaries found the average number of chronic conditions was 2.34, which is lower than the average for homeless persons admitted for a primary ACSC (4.81), as well as those admitted for a non-primary ACSC (3.56) [ 12].
The second part of the hurdle model used for the analysis of hospitalization costs indicated that, once hospitalized and after covariate adjustment, the expected costs incurred by underweight ($6,288; SD: $1,326), overweight ($6,035; SD: $1,033) and obese ($6,413, SD: $1,002) individuals were not statistically different from the costs associated with the normal-weight group ($5,846; SD: $1,135).
Disease-incidence estimates were generated based on a published analysis of hospitalization databases [ 12].
21 Analysis of hospitalization data from 1988 to 1997 found that psychiatric length of stay decreased more rapidly than other conditions, particularly among the privately insured.
We performed a provider level, retrospective, observational analysis of hospitalization and mortality rates among patients receiving hemodialysis at US dialysis facilities during 2010.
Interquartile ranges (IQR) were created for health care utilization and logistic regression analysis of hospitalization risk was conducted by TIS adherence categories.
This criterion was met in the sample for analysis of physician visit rate (N = 190, m = 10), and more than satisfied with the samples for analysis of hospitalization and medical debt rate (N = 1494, m = 11).
The new aspects of this cross-sectional study are the assessment of health inequalities through the analysis of hospitalization data, as a proxy of the quality of health care services, and the attempt to release an estimate of immigrants' hospitalization rate which takes into account irregular people also.
