Literature DB >> 29086480

Assessing diagnostic coding practices among a sample of healthcare facilities in Lyme disease endemic areas: Maryland and New York - A Brief Report.

N Thomas1, H J Rutz2, S A Hook3, A F Hinckley3, G Lukacik1, B P Backenson1, K A Feldman2, J L White1.   

Abstract

The value of using diagnostic codes in Lyme disease (LD) surveillance in highly endemic states has not been well studied. Surveys of healthcare facilities in Maryland (MD) and New York (NY) regarding coding practices were conducted to evaluate the feasibility of using diagnostic codes as a potential method for LD surveillance. Most respondents indicated that their practice utilized electronic medical records (53%) and processed medical/billing claims electronically (74%). Most facilities were able to search office visits associated with specific ICD-9-CM and CPT codes (74% and 73%, respectively); no discernible differences existed between the healthcare facilities in both states. These codes were most commonly assigned by the practitioner (82%), and approximately 70% of respondents indicated that these codes were later validated by administrative staff. These results provide evidence for the possibility of using diagnostic codes in LD surveillance. However, the utility of these codes as an alternative to traditional LD surveillance requires further evaluation.
© 2017 Blackwell Verlag GmbH.

Entities:  

Keywords:  Lyme disease; administrative codes; diagnostic codes; surveillance

Mesh:

Year:  2017        PMID: 29086480      PMCID: PMC7053297          DOI: 10.1111/zph.12414

Source DB:  PubMed          Journal:  Zoonoses Public Health        ISSN: 1863-1959            Impact factor:   2.702


  10 in total

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Authors:  J I Meek; C L Roberts; E V Smith; M L Cartter
Journal:  J Public Health Manag Pract       Date:  1996

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Authors:  Emily E Sickbert-Bennett; David J Weber; Charles Poole; Pia D M MacDonald; Jean-Marie Maillard
Journal:  Am J Epidemiol       Date:  2010-09-28       Impact factor: 4.897

3.  Evaluation of International Classification of Diseases, Ninth Revision, Clinical Modification Codes for reporting methicillin-resistant Staphylococcus aureus infections at a hospital in Illinois.

Authors:  Melissa K Schaefer; Katherine Ellingson; Craig Conover; Alicia E Genisca; Donna Currie; Tina Esposito; Laura Panttila; Peter Ruestow; Karen Martin; Diane Cronin; Michael Costello; Stephen Sokalski; Scott Fridkin; Arjun Srinivasan
Journal:  Infect Control Hosp Epidemiol       Date:  2010-05       Impact factor: 3.254

Review 4.  Administrative coding data and health care-associated infections.

Authors:  Michael A Jhung; Shailen N Banerjee
Journal:  Clin Infect Dis       Date:  2009-09-15       Impact factor: 9.079

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Journal:  Am J Epidemiol       Date:  1998-02-15       Impact factor: 4.897

6.  The public health impact of Lyme disease in Maryland.

Authors:  B S Coyle; G T Strickland; Y Y Liang; C Peña; R McCarter; E Israel
Journal:  J Infect Dis       Date:  1996-05       Impact factor: 5.226

7.  Using administrative medical claims data to supplement state disease registry systems for reporting zoonotic infections.

Authors:  Stephen G Jones; Steven Coulter; William Conner
Journal:  J Am Med Inform Assoc       Date:  2012-07-18       Impact factor: 4.497

8.  Characterizing Lyme Disease Surveillance in an Endemic State.

Authors:  H J Rutz; S B Wee; K A Feldman
Journal:  Zoonoses Public Health       Date:  2016-07-29       Impact factor: 2.702

9.  Lyme disease testing by large commercial laboratories in the United States.

Authors:  Alison F Hinckley; Neeta P Connally; James I Meek; Barbara J Johnson; Melissa M Kemperman; Katherine A Feldman; Jennifer L White; Paul S Mead
Journal:  Clin Infect Dis       Date:  2014-05-30       Impact factor: 9.079

10.  Incidence of Clinician-Diagnosed Lyme Disease, United States, 2005-2010.

Authors:  Christina A Nelson; Shubhayu Saha; Kiersten J Kugeler; Mark J Delorey; Manjunath B Shankar; Alison F Hinckley; Paul S Mead
Journal:  Emerg Infect Dis       Date:  2015-09       Impact factor: 6.883

  10 in total
  1 in total

1.  Use of Commercial Claims Data for Evaluating Trends in Lyme Disease Diagnoses, United States, 2010-2018.

Authors:  Amy M Schwartz; Kiersten J Kugeler; Christina A Nelson; Grace E Marx; Alison F Hinckley
Journal:  Emerg Infect Dis       Date:  2021       Impact factor: 6.883

  1 in total

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