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Ability to generate patient registries among practices with and without electronic health records.

Publication ,  Journal Article
Wright, A; McGlinchey, EA; Poon, EG; Jenter, CA; Bates, DW; Simon, SR
Published in: Journal of medical Internet research
August 2009

The ability to generate registries of patients with particular clinical attributes, such as diagnoses or medications taken, is central to measuring and improving the quality of health care. However, it is not known how many providers have the ability to generate such registries.To assess the proportion of physician practices that can construct registries of patients with specific diagnoses, laboratory results, or medications, and to determine the relationship between electronic health record (EHR) usage and the ability to perform registry functions.We conducted a mail survey of a stratified random sample of physician practices in Massachusetts in the northeastern United States (N = 1884). The survey included questions about the physicians' ability to generate diagnosis, laboratory result, and medication registries; the presence of EHR; and usage of specific EHR features.The response rate was 71% (1345/1884). Overall, 79.8% of physician practices reported being able to generate registries of patients by diagnosis; 56.1% by laboratory result; and 55.8% by medication usage. In logistic regression analyses, adjusting for urban/rural location, practice size and ownership, teaching status, hospital affiliation, and specialty, physician practices with an EHR were more likely to be able to construct diagnosis registries (adjusted odds ratio [OR] 1.53, 95% confidence interval [CI] 1.25 - 1.86), laboratory registries (OR 1.42, 95% CI 1.22 - 1.66), and medication registries (OR 2.30, 95% CI 1.96 - 2.70).Many physician practices were able to generate registries, but this capability is far from universal. Adoption of EHRs appears to be a useful step toward this end, and practices with EHRs are considerably more likely to be able to carry out registry functions. Because practices need registries to perform broad-based quality improvement, they should consider adopting EHRs that have built-in registry functionality.

Duke Scholars

Published In

Journal of medical Internet research

DOI

EISSN

1438-8871

ISSN

1439-4456

Publication Date

August 2009

Volume

11

Issue

3

Start / End Page

e31

Related Subject Headings

  • Urban Population
  • Surveys and Questionnaires
  • Rural Population
  • Regression Analysis
  • Registries
  • Quality Assurance, Health Care
  • Physicians
  • Odds Ratio
  • Medical Records Systems, Computerized
  • Medical Records
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Wright, A., McGlinchey, E. A., Poon, E. G., Jenter, C. A., Bates, D. W., & Simon, S. R. (2009). Ability to generate patient registries among practices with and without electronic health records. Journal of Medical Internet Research, 11(3), e31. https://doi.org/10.2196/jmir.1166
Wright, Adam, Elizabeth A. McGlinchey, Eric G. Poon, Chelsea A. Jenter, David W. Bates, and Steven R. Simon. “Ability to generate patient registries among practices with and without electronic health records.Journal of Medical Internet Research 11, no. 3 (August 2009): e31. https://doi.org/10.2196/jmir.1166.
Wright A, McGlinchey EA, Poon EG, Jenter CA, Bates DW, Simon SR. Ability to generate patient registries among practices with and without electronic health records. Journal of medical Internet research. 2009 Aug;11(3):e31.
Wright, Adam, et al. “Ability to generate patient registries among practices with and without electronic health records.Journal of Medical Internet Research, vol. 11, no. 3, Aug. 2009, p. e31. Epmc, doi:10.2196/jmir.1166.
Wright A, McGlinchey EA, Poon EG, Jenter CA, Bates DW, Simon SR. Ability to generate patient registries among practices with and without electronic health records. Journal of medical Internet research. 2009 Aug;11(3):e31.

Published In

Journal of medical Internet research

DOI

EISSN

1438-8871

ISSN

1439-4456

Publication Date

August 2009

Volume

11

Issue

3

Start / End Page

e31

Related Subject Headings

  • Urban Population
  • Surveys and Questionnaires
  • Rural Population
  • Regression Analysis
  • Registries
  • Quality Assurance, Health Care
  • Physicians
  • Odds Ratio
  • Medical Records Systems, Computerized
  • Medical Records