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Biomedical subjects

T Borders

Publications and source records attributed to T Borders.

3 recordsLinked to original sources

The relationship between supply and hospitalization rates for mental illness and substance use disorders.

This study investigated the extent to which mental illness and substance use hospitalization rates were related to the supply of psychiatric treatment services. Supply variables, notably the per capita rate of psychiatrists, primary care physicians, and specialty units, were strongly related to mental illness and substance use hospitalization rates to acute care hospitals across 114 small geographic areas in Iowa. The supply of outpatient services was not related to hospitalization rates. The need to study the reliability of patient assessment processes, refine guidelines and admissions criteria, and understand the contributions of supply variables to hospitalization rates are indicated by these results. A conceptual model is offered within which the dynamic cycle from patient functioning to service delivery may be framed.

Data Collection↗

Understanding and comparing differences in reported medication administration error rates.

The prevention of medication administration errors (MAEs) represents a central focus of hospitals' quality improvement and risk management initiatives. Because the identification and reporting of MAEs is a nonautomated and voluntary process, it is essential to understand the extent to which errors may not be reported. This study reports the results of 2 multihospital surveys in which over 1300 staff nurses in each survey estimated the extent to which various types of nonintravenous (non-i.v.) and intravenous (i.v.)-related MAEs are actually being reported on their nursing units. Overall, respondents estimated that about 60% of MAEs are actually being reported. Considerable differences in estimated rates of MAE reporting were found between staff and supervisors working on the same patient care units. A simulation based on actual and perceived rates of MAE reporting is presented to estimate the range of errors not being reported. Implications regarding the reliability, validity, and completeness of MAEs actually being reported are discussed.

Adverse Drug Reaction Reporting Systems↗

Understanding why medication administration errors may not be reported.

Because the identification and reporting of medication administration errors (MAE) is a nonautomated and voluntary process, it is important to understand potential barriers to MAE reporting. This paper describes and analyzes a survey instrument designed to assist in evaluating the relative importance of 15 different potential MAE-reporting barriers. Based on the responses of over 1300 nurses and a confirmatory LISREL analysis, the 15 potential barriers are combined into 4 subscales: Disagreement Over Error, Reporting Effort, Fear, and Administrative Response. The psychometric properties of this instrument and descriptive profiles are presented. Specific suggestions for enhancing MAE reporting are discussed.

Adverse Drug Reaction Reporting Systems↗