Cargando…

Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study

BACKGROUND: Physicians practicing in ambulatory care are adopting electronic health record (EHR) systems. Governments promote this adoption with financial incentives, some hinged on improvements in care. These systems can improve care but most demonstrations of successful systems come from a few hig...

Descripción completa

Detalles Bibliográficos
Autores principales: Roshanov, Pavel S, Gerstein, Hertzel C, Hunt, Dereck L, Sebaldt, Rolf J, Haynes, R Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3461491/
https://www.ncbi.nlm.nih.gov/pubmed/22769425
http://dx.doi.org/10.1186/1472-6947-12-63
_version_ 1782245088122896384
author Roshanov, Pavel S
Gerstein, Hertzel C
Hunt, Dereck L
Sebaldt, Rolf J
Haynes, R Brian
author_facet Roshanov, Pavel S
Gerstein, Hertzel C
Hunt, Dereck L
Sebaldt, Rolf J
Haynes, R Brian
author_sort Roshanov, Pavel S
collection PubMed
description BACKGROUND: Physicians practicing in ambulatory care are adopting electronic health record (EHR) systems. Governments promote this adoption with financial incentives, some hinged on improvements in care. These systems can improve care but most demonstrations of successful systems come from a few highly computerized academic environments. Those findings may not be generalizable to typical ambulatory settings, where evidence of success is largely anecdotal, with little or no use of rigorous methods. The purpose of our pilot study was to evaluate the impact of a diabetes specific chronic disease management system (CDMS) on recording of information pertinent to guideline-concordant diabetes care and to plan for larger, more conclusive studies. METHODS: Using a before–after study design we analyzed the medical record of approximately 10 patients from each of 3 diabetes specialists (total = 31) who were seen both before and after the implementation of a CDMS. We used a checklist of key clinical data to compare the completeness of information recorded in the CDMS record to both the clinical note sent to the primary care physician based on that same encounter and the clinical note sent to the primary care physician based on the visit that occurred prior to the implementation of the CDMS, accounting for provider effects with Generalized Estimating Equations. RESULTS: The CDMS record outperformed by a substantial margin dictated notes created for the same encounter. Only 10.1% (95% CI, 7.7% to 12.3%) of the clinically important data were missing from the CDMS chart compared to 25.8% (95% CI, 20.5% to 31.1%) from the clinical note prepared at the time (p < 0.001) and 26.3% (95% CI, 19.5% to 33.0%) from the clinical note prepared before the CDMS was implemented (p < 0.001). There was no significant difference between dictated notes created for the CDMS-assisted encounter and those created for usual care encounters (absolute mean difference, 0.8%; 95% CI, −8.5% to 6.8%). CONCLUSIONS: The CDMS chart captured information important for the management of diabetes more often than dictated notes created with or without its use but we were unable to detect a difference in completeness between notes dictated in CDMS-associated and usual-care encounters. Our sample of patients and providers was small, and completeness of records may not reflect quality of care.
format Online
Article
Text
id pubmed-3461491
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-34614912012-10-02 Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study Roshanov, Pavel S Gerstein, Hertzel C Hunt, Dereck L Sebaldt, Rolf J Haynes, R Brian BMC Med Inform Decis Mak Research Article BACKGROUND: Physicians practicing in ambulatory care are adopting electronic health record (EHR) systems. Governments promote this adoption with financial incentives, some hinged on improvements in care. These systems can improve care but most demonstrations of successful systems come from a few highly computerized academic environments. Those findings may not be generalizable to typical ambulatory settings, where evidence of success is largely anecdotal, with little or no use of rigorous methods. The purpose of our pilot study was to evaluate the impact of a diabetes specific chronic disease management system (CDMS) on recording of information pertinent to guideline-concordant diabetes care and to plan for larger, more conclusive studies. METHODS: Using a before–after study design we analyzed the medical record of approximately 10 patients from each of 3 diabetes specialists (total = 31) who were seen both before and after the implementation of a CDMS. We used a checklist of key clinical data to compare the completeness of information recorded in the CDMS record to both the clinical note sent to the primary care physician based on that same encounter and the clinical note sent to the primary care physician based on the visit that occurred prior to the implementation of the CDMS, accounting for provider effects with Generalized Estimating Equations. RESULTS: The CDMS record outperformed by a substantial margin dictated notes created for the same encounter. Only 10.1% (95% CI, 7.7% to 12.3%) of the clinically important data were missing from the CDMS chart compared to 25.8% (95% CI, 20.5% to 31.1%) from the clinical note prepared at the time (p < 0.001) and 26.3% (95% CI, 19.5% to 33.0%) from the clinical note prepared before the CDMS was implemented (p < 0.001). There was no significant difference between dictated notes created for the CDMS-assisted encounter and those created for usual care encounters (absolute mean difference, 0.8%; 95% CI, −8.5% to 6.8%). CONCLUSIONS: The CDMS chart captured information important for the management of diabetes more often than dictated notes created with or without its use but we were unable to detect a difference in completeness between notes dictated in CDMS-associated and usual-care encounters. Our sample of patients and providers was small, and completeness of records may not reflect quality of care. BioMed Central 2012-07-07 /pmc/articles/PMC3461491/ /pubmed/22769425 http://dx.doi.org/10.1186/1472-6947-12-63 Text en Copyright ©2012 Roshanov et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Roshanov, Pavel S
Gerstein, Hertzel C
Hunt, Dereck L
Sebaldt, Rolf J
Haynes, R Brian
Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study
title Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study
title_full Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study
title_fullStr Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study
title_full_unstemmed Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study
title_short Impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study
title_sort impact of a computerized system for evidence-based diabetes care on completeness of records: a before–after study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3461491/
https://www.ncbi.nlm.nih.gov/pubmed/22769425
http://dx.doi.org/10.1186/1472-6947-12-63
work_keys_str_mv AT roshanovpavels impactofacomputerizedsystemforevidencebaseddiabetescareoncompletenessofrecordsabeforeafterstudy
AT gersteinhertzelc impactofacomputerizedsystemforevidencebaseddiabetescareoncompletenessofrecordsabeforeafterstudy
AT huntdereckl impactofacomputerizedsystemforevidencebaseddiabetescareoncompletenessofrecordsabeforeafterstudy
AT sebaldtrolfj impactofacomputerizedsystemforevidencebaseddiabetescareoncompletenessofrecordsabeforeafterstudy
AT haynesrbrian impactofacomputerizedsystemforevidencebaseddiabetescareoncompletenessofrecordsabeforeafterstudy