Literature DB >> 7377194

The SENIC sampling process: design for choosing hospitals and patients and results of sample selection.

D Quade, D H Culver, R W Haley, F S Whaley, W D Kalsbeek, C D Hardison, R E Johnson, R C Stanley, R H Shachtman.   

Abstract

To achieve its primary objectives, the Study on the Efficacy of Nosocomial Infection Control (SENIC Project) focused its attention on a target population of patients referred to as SENIC-eligible admissions in a target population of hospitals referred to as the "SENIC Universe." SENIC thus required a design for sampling hospitals and patients within these hospitals and a valid procedure for projecting sample results to the target population. This paper presents the details of the sampling design used, describes the actual process of selecting hospitals and patients for the surveys, explains the procedure used to project sample results to the target population, and examines the possibility of bias in the design and hospital selection process. As with most large-scale sample surveys, the design and sample selection processes for the surveys in Phases II and III of SENIC were complicated by incomplete frame, nonresponse and measurement problems. Nevertheless, adjustments to reduce the effects of some of these problems have been made through the development of a valid procedure for projecting sample results to the target population, and it appears unlikely that practically important nonsampling biases will result from the estimation procedures applied to this sample of hospitals.

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Year:  1980        PMID: 7377194     DOI: 10.1093/oxfordjournals.aje.a112929

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  2 in total

1.  A method for constructing case-mix indexes, with application to hospital length of stay.

Authors:  R H Shachtman; S M Snapinn; D Quade; D A Freund; A K Kronhaus
Journal:  Health Serv Res       Date:  1986-02       Impact factor: 3.402

2.  Staffing and structure of infection prevention and control programs.

Authors:  Patricia W Stone; Andrew Dick; Monika Pogorzelska; Teresa C Horan; E Yoko Furuya; Elaine Larson
Journal:  Am J Infect Control       Date:  2009-02-08       Impact factor: 2.918

  2 in total

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