Dataset Information

Quality and correlates of medical record documentation in the ambulatory care setting.

ABSTRACT: BACKGROUND:Documentation in the medical record facilitates the diagnosis and treatment of patients. Few studies have assessed the quality of outpatient medical record documentation, and to the authors' knowledge, none has conclusively determined the correlates of chart documentation. We therefore undertook the present study to measure the rates of documentation of quality of care measures in an outpatient primary care practice setting that utilizes an electronic medical record. METHODS:We reviewed electronic medical records from 834 patients receiving care from 167 physicians (117 internists and 50 pediatricians) at 14 sites of a multi-specialty medical group in Massachusetts. We abstracted information for five measures of medical record documentation quality: smoking history, medications, drug allergies, compliance with screening guidelines, and immunizations. From other sources we determined physicians' specialty, gender, year of medical school graduation, and self-reported time spent teaching and in patient care. RESULTS:Among internists, unadjusted rates of documentation were 96.2% for immunizations, 91.6% for medications, 88% for compliance with screening guidelines, 61.6% for drug allergies, 37.8% for smoking history. Among pediatricians, rates were 100% for immunizations, 84.8% for medications, 90.8% for compliance with screening guidelines, 50.4% for drug allergies, and 20.4% for smoking history. While certain physician and patient characteristics correlated with some measures of documentation quality, documentation varied depending on the measure. For example, female internists were more likely than male internists to document smoking history (odds ratio [OR], 1.90; 95% confidence interval [CI], 1.27 - 2.83) but were less likely to document drug allergies (OR, 0.51; 95% CI, 0.35 - 0.75). CONCLUSIONS:Medical record documentation varied depending on the measure, with room for improvement in most domains. A variety of characteristics correlated with medical record documentation, but no pattern emerged. Further study could lead to targeted interventions to improve documentation.

SUBMITTER: Soto CM

PROVIDER: S-EPMC140026 | biostudies-literature | 2002 Dec

REPOSITORIES: biostudies-literature

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Quality and correlates of medical record documentation in the ambulatory care setting.

Soto Carlos M CM Kleinman Kenneth P KP Simon Steven R SR

BMC health services research 20021210 1

<h4>Background</h4>Documentation in the medical record facilitates the diagnosis and treatment of patients. Few studies have assessed the quality of outpatient medical record documentation, and to the authors' knowledge, none has conclusively determined the correlates of chart documentation. We therefore undertook the present study to measure the rates of documentation of quality of care measures in an outpatient primary care practice setting that utilizes an electronic medical record.<h4>Method ...[more]

PMID: 12473161

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Project description:Rationale & objectiveElicitation and documentation of patient preferences is at the core of shared decision making and is particularly important among patients with high anticipated mortality. The extent to which older patients with incident kidney failure undertake such discussions with their providers is unknown and its characterization was the focus of this study.Study designRetrospective cohort study.Setting & participantsA random sample of veterans 67 years and older with incident kidney failure receiving care from the US Veterans Health Administration between 2005 and 2010.ExposuresDemographic and facility characteristics, as well as predicted 6-month mortality risk after dialysis initiation and documentation of resuscitation preferences.OutcomesDocumented discussions of dialysis treatment and supportive care.Analytical approachWe reviewed medical records over the 2 years before incident kidney failure and up to 1 year afterward to ascertain the frequency and timing of documented discussions about dialysis treatment, supportive care, and resuscitation. Logistic regression was used to identify factors associated with these documented discussions.ResultsThe cohort of 821 veterans had a mean age of 80.9±7.2 years, and 37.2% had a predicted 6-month mortality risk>20% with dialysis. Documented discussions addressing dialysis treatment and resuscitation were present in 55.6% and 77.1% of patients, respectively. Those addressing supportive care were present in 32.4%. The frequency of documentation varied by mortality risk and whether the patient ultimately started dialysis. In adjusted analyses, the frequency and pattern of documentation were more strongly associated with geographic location and receipt of outpatient nephrology care than with patient demographic or clinical characteristics.LimitationsDocumentation may not fully reflect the quality and content of discussions, and generalizability to nonveteran patients is limited.ConclusionsAmong older veterans with incident kidney failure, discussions of dialysis treatment are decoupled from other aspects of advance care planning and are suboptimally documented, even among patients at high risk for mortality.

Project description:BackgroundAround half the US population uses dietary supplements (DS), and concomitant use with medications is common. Many DS include bioactive substances that can interact with medications; therefore, accurate tracking is critical for patient safety. Unfortunately, documentation of patients' DS use is often missing or incomplete in the electronic medical record (EMR), leaving patients susceptible to potential adverse events. Novel approaches to assist healthcare professionals (HCPs) in capturing patients' DS use are needed.ObjectiveTo assess HCPs' perspectives on challenges and facilitators of DS documentation in the EMR and their opinions on a proposed mHealth application (app) to aid in DS capture.MethodsHCPs, recruited from professional networks, largely in North Carolina, using purposive sampling, took part in semi-structured interviews. We inquired about HCPs' experiences with DS documentation in the EMR and their opinions about our proposed mHealth app. Interviews were recorded, transcribed, and coded. Thematic analysis included deductive codes based on the interview guide, and inductive codes that emerged during transcript review.ResultsHCPs (N = 30) included 60% females, mean age 46 ± 10; 70% White. Pharmacists (20%), nurses (17%), and physicians (17%) were the most represented professions. Years in practice ranged from 3-35 years. Most HCPs were concerned about DS safety and potential supplement-drug interactions, and cited several barriers to accurate EMR DS documentation including time constraints, database inconsistencies, and poor patient-HCP communication about DS. HCPs' views on our proposed mHealth app were generally positive. They expressed that our proposed mHealth app could streamline documentation processes and enhance patient-provider communication. HCPs expressed desire for a high-quality mHealth app that includes access to evidence-based DS information, integrates with the EMR, and does not increase time burdens.ConclusionHCPs believe documentation of patients' DS use is important but not accurately captured in the EMR. Support was expressed for our proposed barcode-scanning DS mHealth app.

Project description:BACKGROUND:The increased use of electronic medical records (EMRs) in Canadian primary health care practice has resulted in an expansion of the availability of EMR data. Potential users of these data need to understand their quality in relation to the uses to which they are applied. Herein, we propose a basic model for assessing primary health care EMR data quality, comprising a set of data quality measures within four domains. We describe the process of developing and testing this set of measures, share the results of applying these measures in three EMR-derived datasets, and discuss what this reveals about the measures and EMR data quality. The model is offered as a starting point from which data users can refine their own approach, based on their own needs. METHODS:Using an iterative process, measures of EMR data quality were created within four domains: comparability; completeness; correctness; and currency. We used a series of process steps to develop the measures. The measures were then operationalized, and tested within three datasets created from different EMR software products. RESULTS:A set of eleven final measures were created. We were not able to calculate results for several measures in one dataset because of the way the data were collected in that specific EMR. Overall, we found variability in the results of testing the measures (e.g. sensitivity values were highest for diabetes, and lowest for obesity), among datasets (e.g. recording of height), and by patient age and sex (e.g. recording of blood pressure, height and weight). CONCLUSIONS:This paper proposes a basic model for assessing primary health care EMR data quality. We developed and tested multiple measures of data quality, within four domains, in three different EMR-derived primary health care datasets. The results of testing these measures indicated that not all measures could be utilized in all datasets, and illustrated variability in data quality. This is one step forward in creating a standard set of measures of data quality. Nonetheless, each project has unique challenges, and therefore requires its own data quality assessment before proceeding.

Dataset Information

Quality and correlates of medical record documentation in the ambulatory care setting.

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Quality and correlates of medical record documentation in the ambulatory care setting.

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