CHARACTERIZING, ASSESSING AND IMPROVING HEALTHCARE REFERRAL COMMUNICATION

Similar to other health care processes, referrals are susceptible to breakdowns. These breakdowns in the referral process can lead to poor continuity of care, slow diagnostic processes, delays and repetition of tests, patient and provider dissatisfaction, and can lead to a loss of confidence in providers. These facts and the necessity for a deeper understanding of referrals in healthcare served as the motivation to conduct a comprehensive study of referrals. The research began with the real problem and need to understand referral communication as a mean to improve patient care. Despite previous efforts to explain referrals and the dynamics and interrelations of the variables that influence referrals there is not a common, contemporary, and accepted definition of what a referral is in the health care context. The research agenda was guided by the need to explore referrals as an abstract concept by: 1) developing a conceptual definition of referrals, and 2) developing a model of referrals, to finally propose a 3) comprehensive research framework. This dissertation has resulted in a standard conceptual definition of referrals and a model of referrals. In addition a mixed-method framework to evaluate referrals was proposed, and finally a data driven model was developed to predict whether a referral would be approved or denied by a specialty service. The three manuscripts included in this dissertation present the basis for studying and assessing referrals using a common framework that should allow an easier comparative research agenda to improve referrals taking into account the context where referrals occur

Accuracy and self correction of information received from an internet breast cancer list: content analysis.

OBJECTIVES: To determine the prevalence of false or misleading statements in messages posted by internet cancer support groups and whether these statements were identified as false or misleading and corrected by other participants in subsequent postings. DESIGN: Analysis of content of postings. SETTING: Internet cancer support group Breast Cancer Mailing List. MAIN OUTCOME MEASURES: Number of false or misleading statements posted from 1 January to 23 April 2005 and whether these were identified and corrected by participants in subsequent postings. RESULTS: 10 of 4600 postings (0.22%) were found to be false or misleading. Of these, seven were identified as false or misleading by other participants and corrected within an average of four hours and 33 minutes (maximum, nine hours and nine minutes). CONCLUSIONS: Most posted information on breast cancer was accurate. Most false or misleading statements were rapidly corrected by participants in subsequent postings

Developing and Integrating the Management of Elder Abuse in Primary Practice: A Case Study Using A Web-Based CME Course Format

Introduction: As the population in the United States continues to age, more attention in primary practice settings is now devoted toward managing the care of the elderly. The occurrence of elder abuse is a growing problem. It is a condition many professionals in primary care may be ill prepared with the knowledge or resources to identify and manage. [See PDF for complete abstract

When your words count: a discriminative model to predict approval of referrals

Objective To develop and test a statistical model which correctly predicts the approval of outpatient referrals when reviewed by a specialty service based on nine discriminating variables. Design Retrospective cross-sectional study. Setting Large public county hospital system in a southern US city. Participants Written documents and associated data from 500 random adult referrals made by primary care providers to various specialty services during the course of one month. Main outcome measures The resulting correct prediction rates obtained by the model. Results The model correctly predicted 78.6% of approved referrals using all nine discriminating variables, 75.3% of approved referrals using all variables in a stepwise manner and 74.7% of approved referrals using only the referral total word count as a single discriminating variable. Conclusions Three iterations of the model correctly predicted at least 75% of the approved referrals in the validation set. A correct prediction of whether or not a referral will be approved can be made in three out of four cases

Improving outpatient safety through effective electronic communication: a study protocol

<p>Abstract</p> <p>Background</p> <p>Health information technology and electronic medical records (EMRs) are potentially powerful systems-based interventions to facilitate diagnosis and treatment because they ensure the delivery of key new findings and other health related information to the practitioner. However, effective communication involves more than just information transfer; despite a state of the art EMR system, communication breakdowns can still occur. <abbrgrp><abbr bid="B1">1</abbr><abbr bid="B2">2</abbr><abbr bid="B3">3</abbr></abbrgrp> In this project, we will adapt a model developed by the Systems Engineering Initiative for Patient Safety (SEIPS) to understand and improve the relationship between work systems and processes of care involved with electronic communication in EMRs. We plan to study three communication activities in the Veterans Health Administration's (VA) EMR: electronic communication of abnormal imaging and laboratory test results via automated notifications (<it>i.e.</it>, alerts); electronic referral requests; and provider-to-pharmacy communication via computerized provider order entry (CPOE).</p> <p>Aim</p> <p>Our specific aim is to propose a protocol to evaluate the systems and processes affecting outcomes of electronic communication in the computerized patient record system (related to diagnostic test results, electronic referral requests, and CPOE prescriptions) using a human factors engineering approach, and hence guide the development of interventions for work system redesign.</p> <p>Design</p> <p>This research will consist of multiple qualitative methods of task analysis to identify potential sources of error related to diagnostic test result alerts, electronic referral requests, and CPOE; this will be followed by a series of focus groups to identify barriers, facilitators, and suggestions for improving the electronic communication system. Transcripts from all task analyses and focus groups will be analyzed using methods adapted from grounded theory and content analysis.</p

Towards successful coordination of electronic health record based-referrals: a qualitative analysis

<p>Abstract</p> <p>Background</p> <p>Successful subspecialty referrals require considerable coordination and interactive communication among the primary care provider (PCP), the subspecialist, and the patient, which may be challenging in the outpatient setting. Even when referrals are facilitated by electronic health records (EHRs) (<it>i.e</it>., e-referrals), lapses in patient follow-up might occur. Although compelling reasons exist why referral coordination <it>should </it>be improved, little is known about which elements of the complex referral coordination process should be targeted for improvement. Using Okhuysen & Bechky's coordination framework, this paper aims to understand the barriers, facilitators, and suggestions for improving communication and coordination of EHR-based referrals in an integrated healthcare system.</p> <p>Methods</p> <p>We conducted a qualitative study to understand coordination breakdowns related to e-referrals in an integrated healthcare system and examined work-system factors that affect the timely receipt of subspecialty care. We conducted interviews with seven subject matter experts and six focus groups with a total of 30 PCPs and subspecialists at two tertiary care Department of Veterans Affairs (VA) medical centers. Using techniques from grounded theory and content analysis, we identified organizational themes that affected the referral process.</p> <p>Results</p> <p>Four themes emerged: lack of an institutional referral policy, lack of standardization in certain referral procedures, ambiguity in roles and responsibilities, and inadequate resources to adapt and respond to referral requests effectively. Marked differences in PCPs' and subspecialists' communication styles and individual mental models of the referral processes likely precluded the development of a <it>shared </it>mental model to facilitate coordination and successful referral completion. Notably, very few barriers related to the EHR were reported.</p> <p>Conclusions</p> <p>Despite facilitating information transfer between PCPs and subspecialists, e-referrals remain prone to coordination breakdowns. Clear referral policies, well-defined roles and responsibilities for key personnel, standardized procedures and communication protocols, and adequate human resources must be in place before implementing an EHR to facilitate referrals.</p

Understanding the management of electronic test result notifications in the outpatient setting

<p>Abstract</p> <p>Background</p> <p>Notifying clinicians about abnormal test results through electronic health record (EHR) -based "alert" notifications may not always lead to timely follow-up of patients. We sought to understand barriers, facilitators, and potential interventions for safe and effective management of abnormal test result delivery via electronic alerts.</p> <p>Methods</p> <p>We conducted a qualitative study consisting of six 6-8 member focus groups (N = 44) at two large, geographically dispersed Veterans Affairs facilities. Participants included full-time primary care providers, and personnel representing diagnostic services (radiology, laboratory) and information technology. We asked participants to discuss barriers, facilitators, and suggestions for improving timely management and follow-up of abnormal test result notifications and encouraged them to consider technological issues, as well as broader, human-factor-related aspects of EHR use such as organizational, personnel, and workflow.</p> <p>Results</p> <p>Providers reported receiving a large number of alerts containing information unrelated to abnormal test results, many of which were believed to be unnecessary. Some providers also reported lacking proficiency in use of certain EHR features that would enable them to manage alerts more efficiently. Suggestions for improvement included improving display and tracking processes for critical alerts in the EHR, redesigning clinical workflow, and streamlining policies and procedures related to test result notification.</p> <p>Conclusion</p> <p>Providers perceive several challenges for fail-safe electronic communication and tracking of abnormal test results. A multi-dimensional approach that addresses technology as well as the many non-technological factors we elicited is essential to design interventions to reduce missed test results in EHRs.</p

Improving the Effectiveness of Electronic Health Record-Based Referral Processes

Abstract Electronic health records are increasingly being used to facilitate referral communication in the outpatient setting. However, despite support by technology, referral communication between primary care providers and specialists is often unsatisfactory and is unable to eliminate care delays. This may be in part due to lack of attention to how information and communication technology fits within the social environment of health care. Making electronic referral communication effective requires a multifaceted “socio-technical” approach. Using an 8-dimensional socio-technical model for health information technology as a framework, we describe ten recommendations that represent good clinical practices to design, develop, implement, improve, and monitor electronic referral communication in the outpatient setting. These recommendations were developed on the basis of our previous work, current literature, sound clinical practice, and a systems-based approach to understanding and implementing health information technology solutions. Recommendations are relevant to system designers, practicing clinicians, and other stakeholders considering use of electronic health records to support referral communication.</p

Using Technology to Teach Technology: Design and Evaluation of Bilingual Online Physician Education About Electronic Medical Records

The “EMR Tutorial” is designed to be a bilingual online physician education environment about electronic medical records. After iterative assessment and redesign, the tutorial was tested in two groups: U.S. physicians and Mexican medical students. Split-plot ANOVA revealed significantly different pre-test scores in the two groups, significant cognitive gains for the two groups overall, and no significant difference in the gains made by the two groups. Users rated the module positively on a satisfaction questionnaire

Traffic related deaths in Nuevo Leon, Mexico: causes and associated factors Muertes relacionadas con accidentes viales en Nuevo León, México: causas y factores asociados

OBJECTIVE: The effects of alcohol on mortality due to motor vehicle accidents was studied. MATERIAL AND METHODS: During the first semester of 2003, a sample of 243 fatality victims of traffic-related accidents and their blood alcohol levels were analyzed in the state of Nuevo Leon, Mexico. The age-adjusted mortality rate for traffic accidents was 8.9/100000 pop. (13.2 for males and 3.21 for females, per 100000). Fatal accidents were more common in the Metropolitan Area (MA). RESULTS: Fatalities were four times greater in males and the mean age was 34.7±18.2 years. Blood alcohol was detected in almost half of the victims who were drivers of the vehicles; the other cases of fatalities may be associated with road/car condition, weather and other factors. CONCLUSIONS: Alcohol intoxication levels were primarily associated with male drivers ages 16 to 45 (p=0.029); levels increased with age. In females, alcohol played a lesser role, affecting mostly ages 31 to 45 y (p=0.055).<br>OBJETIVO:Durante seis meses de 2003 se estudió el efecto del alcohol en 243 víctimas fatales relacionadas con accidentes viales del estado de Nuevo León, México. MATERIAL Y MÉTODOS: Se realizó autopsia en todos los casos y se determinó el nivel de alcohol en sangre. La tasa de mortalidad ajustada por edad para accidentes viales fue 8.9/100000 hab. (13.2 para hombres y 3.21 para mujeres, por 100000). Accidentes fatales fueron comunes en el Área Metropolitana. RESULTADOS: Las fatalidades fueron cuatro veces mayores en hombres y la edad promedio fue de 34.7±18.2 años. Se detectaron niveles de alcohol en sangre en casi la mitad de los conductores que fueron víctimas; los otros casos de fatalidad fueron asociados con las condiciones del camino, el auto, factores meteorológicos, entre otros. CONCLUSIONES: Los niveles de intoxicación alcohólica fueron básicamente con conductores masculinos, de 16-45 años (p=0.029), aumentando con la edad. Entre las mujeres, el alcohol jugó un papel menos preponderante, afectando mayormente las de 31-45 años (p=0.055)