Biomedical subjects

Ibrahim Awad Ibrahim

Publications and source records attributed to Ibrahim Awad Ibrahim.

4 recordsLinked to original sources

PubMed2003

Benchmarking variation in coding accuracy across the United States.

The objective of this study was to measure the consistency of coded medical data through information managers' reports of the overall coding error level in patients' medical records. Using a cross-sectional design, we examined the reported percent of records containing coding errors significant enough to change a diagnostic related group (DRG). Results indicate about 87 percent, 9 percent, and 5 percent of respondents reported that significant coding errors existed in less than 5 percent, 6-10 percent, and greater than 10 percent of the medical records in their institutions, respectively. Significant variation was found in the accuracy and consistency of coding practice and associated data quality across key demographic and organizational variables. Significantly large error rates in coded data exist in some organizations. Given variations across key demographic characteristics, providers may tend to distrust all coded data, when aggregated. As the United States moves toward an evidence-based medicine environment, the use of current patient data classification methods may be of limited value without increased attention to coding practices.

Benchmarking↗

PubMed2003

Disparity in coding concordance: do physicians and coders agree?

Increasing demands for large-scale comparative analysis of health care costs has led to a similar demand for consistently classified data. Evidence-based medicine demands evidence that can be trusted. This study sought to assess managers' observed levels of agreement with physician code selections when classifying patient data. Using a non-sampled research design of both mailed and telephone surveys, we employ a nationwide cross-section of over 16,000 accredited US medical record managers. As a main outcome measure, we evaluate reported levels of agreement between physician and information manager code selections made when classifying patient data. Results indicate about 19 percent of respondents report that coder-physician classification disagreement occurred on more than 5 percent of all patient encounters. In some cases, disagreement occurred in 20 percent or more instances of code selection. This phenomenon shows significant variation across key demographic and market indicators. With the growing practice of measuring coded data quality as an outcome of health care financial performance, along with adoption of electronic classification and patient record systems, the accuracy of coded data is likely to remain uncertain in the absence of more consistent classification and coding practices.

Data Collection↗

PubMed2003

Identifying barriers to billing compliance.

Programs designed toward the control of health care fraud are leading to increasingly aggressive enforcement and prosecutorial efforts by federal regulators, related to over-reimbursement for service providers. Greater penalties for fraudulent practices have been touted as an effective deterrent to practices that encourage, or fail to prevent, incorrect claims for reimbursement. In such a context, this study sought to examine the extent of compliance management barriers through a national survey of all accredited US health information managers, examining likely barriers to payment of health care claims. Using data from a series of surveys on the stated compliance actions of more than 16,000 health care managers, we find that the publication and dissemination of compliance enforcement regulations had a significant effect on the reduction of fraud. Results further suggest that significant non-adoption of proper billing compliance measures continues to occur, despite the existence of counter-fraud prosecution risk designed to enforce proper compliance. Finally, we identify benchmarks of compliance management and show how they vary across demographic, practice setting, and market characteristics. We find significant variation in influence across practice settings and managed care markets. While greater publicity related to proper billing procedures generally leads to greater compliance awareness, this trend may have created pockets of "institutional non-compliance," which result in an increase in the prevalence of non-compliant management actions. As a more general proposition, we find that it is not sufficient to consider compliance actions independent of institutional or industry-wide influences.

Data Collection↗

PubMed2002

Measuring outcomes of type 2 diabetes disease management program in an HMO setting.

BACKGROUND: There is a need to evaluate empirical disease management programs used in managing chronic diseases such as diabetes mellitus in managed care settings. METHODS: We analyzed data from 252 patients with type 2 diabetes before and 1 year after enrollment in a disease management program. We examined clinical indicators such as HbA1C, HDL, LDL, total cholesterol, diastolic blood pressure, and BMI in addition to self-reported health status measured by SF-36 instrument. RESULTS: All clinical indicators showed statistically and clinically significant improvements. Only vitality and mental health showed statistically significant improvements in health status. Weak to moderate significant correlation between clinical indicators and health status was observed. CONCLUSIONS: Disease management can be effective at making significant clinical improvements for participants in a mixed-model HMO setting. No strong relationship between clinical indicators and health status was found. Future research is needed using a more specific health status measuring instrument and a randomized clinical trial design.

Adult↗