Literature DB >> 2014868

Use of a medical center's computerized health care database for notifiable disease surveillance.

M Watkins1, S Lapham, W Hoy.   

Abstract

The sensitivity of a medical center's inpatient and outpatient database to detect notifiable diseases was examined. Only 53 percent of inpatient and 7 percent of outpatient laboratory-confirmed cases of shigellosis, salmonellosis, giardiasis, and hepatitis were identified by an automated search for matching diagnosis codes. Reasons for lack of sensitivity include nonavailability of laboratory results at the time of diagnosis assignment, use of a standardized encounter form with limited preselected diagnosis codes, and pre-emptying of the infectious disease diagnosis by other diagnoses.

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Year:  1991        PMID: 2014868      PMCID: PMC1405097          DOI: 10.2105/ajph.81.5.637

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  5 in total

1.  The effect of underreporting on the apparent incidence and epidemiology of acute viral hepatitis.

Authors:  M J Alter; A Mares; S C Hadler; J E Maynard
Journal:  Am J Epidemiol       Date:  1987-01       Impact factor: 4.897

2.  The reporting of communicable diseases.

Authors:  R Marier
Journal:  Am J Epidemiol       Date:  1977-06       Impact factor: 4.897

Review 3.  The use of large data bases in health care studies.

Authors:  F A Connell; P Diehr; L G Hart
Journal:  Annu Rev Public Health       Date:  1987       Impact factor: 21.981

4.  The surveillance of infectious diseases.

Authors:  S B Thacker; K Choi; P S Brachman
Journal:  JAMA       Date:  1983-03-04       Impact factor: 56.272

5.  Toxic shock syndrome. Evaluation of national surveillance data using a hospital discharge survey.

Authors:  L E Markowitz; A W Hightower; C V Broome; A L Reingold
Journal:  JAMA       Date:  1987-07-03       Impact factor: 56.272

  5 in total
  5 in total

1.  The quality of computerized hospital discharge data.

Authors:  A Muse; P F Smith; J Mikl
Journal:  Am J Public Health       Date:  1992-07       Impact factor: 9.308

Review 2.  Public health surveillance: historical origins, methods and evaluation.

Authors:  S Declich; A O Carter
Journal:  Bull World Health Organ       Date:  1994       Impact factor: 9.408

3.  A secure protocol for protecting the identity of providers when disclosing data for disease surveillance.

Authors:  Khaled El Emam; Jun Hu; Jay Mercer; Liam Peyton; Murat Kantarcioglu; Bradley Malin; David Buckeridge; Saeed Samet; Craig Earle
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

4.  Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak.

Authors:  Khaled El Emam; Jay Mercer; Katherine Moreau; Inese Grava-Gubins; David Buckeridge; Elizabeth Jonker
Journal:  BMC Public Health       Date:  2011-06-09       Impact factor: 3.295

5.  How well do ICD-9 physician claim diagnostic codes identify confirmed pertussis cases in Alberta, Canada? A Canadian Immunization Research Network (CIRN) Study.

Authors:  Sumana Fathima; Kimberley A Simmonds; Steven J Drews; Lawrence W Svenson; Jeffrey C Kwong; Salaheddin M Mahmud; Susan Quach; Caitlin Johnson; Kevin L Schwartz; Natasha S Crowcroft; Margaret L Russell
Journal:  BMC Health Serv Res       Date:  2017-07-12       Impact factor: 2.655

  5 in total

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