ArticleBMC medical informatics and decision making2012
Impact of a computerized system for evidence-based diabetes care on completeness of records: a before-after study.
Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Effectiveness and perceptions of using templates in long-term condition reviews: a systematic synthesis of quantitative and qualitative studies.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021Review
- A pilot study of the functionality and clinician acceptance of a clinical decision support tool to improve primary care of opioid use disorder.Addiction science & clinical practice · 2021Article
- Computer versus physician identification of gastrointestinal alarm features.International journal of medical informatics · 2015Article
- Mixed Influence of Electronic Health Record Implementation on Diabetes Order Patterns for Michigan Medicaid Adults.Journal of diabetes science and technology · 2015Article
- Sharing of clinical data in a maternity setting: how do paper hand-held records and electronic health records compare for completeness?BMC health services research · 2014Article
- Evaluation of a chronic disease management system for the treatment and management of diabetes in primary health care practices in Ontario: an observational study.Ontario health technology assessment series · 2014Observational
- Filtering data from the collaborative initial glaucoma treatment study for improved identification of glaucoma progression.BMC medical informatics and decision making · 2013Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundPhysicians 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.
methodsUsing 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.
resultsThe 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%).
conclusionsThe 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.
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