Development and Validation of an Assessment of Regional Anesthesia Ultrasound Interpretation Skills.

BACKGROUND: Interpretation of ultrasound images and knowledge of anatomy are essential skills for ultrasound-guided peripheral nerve blocks. Competency-based educational models promoted by the Accreditation Council for Graduate Medical Education require the development of assessment tools for the achievement of different competency milestones to demonstrate the longitudinal development of skills that occur during training. METHODS: A rigorous study guided by psychometric principles was undertaken to identify and validate the domains and items in an assessment of ultrasound interpretation skills for regional anesthesia. A survey of residents, academic faculty, and community anesthesiologists, as well as video recordings of experts teaching ultrasound-guided peripheral nerve blocks, was used to develop short video clips with accompanying multiple choice-style questions. Four rounds of pilot testing produced a 50-question assessment that was subsequently administered online to residents, fellows, and faculty from multiple institutions. RESULTS: Test results from 90 participants were analyzed with Item Response Theory model fitting indicating that a 47-item subset of the test fits the model well (P = 0.11). There was a significant linear relation between expected and predicted item difficulty (P < 0.001). Overall test scores increased linearly with higher levels of formal anesthesia training, regional anesthesia training, number of ultrasound-guided blocks performed per year, and a self-rating of regional anesthesia skill (all P < 0.001). CONCLUSIONS: This study provides evidence for the reliability, content validity, and construct validity of a 47-item multiple choice-style online test of ultrasound interpretation skills for regional anesthesia, which can be used as an assessment of competency milestone achievement in anesthesiology training.

Efficacy of computer-based video and simulation in ultrasound-guided regional anesthesia training.

STUDY OBJECTIVE: To determine the effectiveness of a short educational video and simulation on improvement of ultrasound (US) image acquisition and interpretation skills. DESIGN: Prospective, randomized study. SETTING: University medical center. SUBJECTS: 28 anesthesia residents and community anesthesiologists with varied ultrasound experience were randomized to teaching video with interactive simulation or sham video groups. SUBJECTS: Participants were assessed preintervention and postintervention on their ability to identify the sciatic nerve and other anatomic structures on static US images, as well as their ability to locate the sciatic nerve with US on live models. MAIN RESULTS: Pretest written test scores correlated with reported US block experience (Kendall tau rank r = 0.47) and with live US scanning scores (r = 0.64). The teaching video and simulation significantly improved scores on the written examination (P < 0.001); however, they did not significantly improve live US scanning skills. CONCLUSIONS: A short educational video with interactive simulation significantly improved knowledge of US anatomy, but failed to improve hands-on performance of US scanning to localize the nerve.

Breastfeeding practices of Cameroonian mothers determined by dietary recall since birth and the dose-to-the-mother deuterium-oxide turnover technique.

Exclusive breastfeeding during the first 6 months of infant's life is a public health recommendation and important factor for the promotion of optimal growth, health and behavioural development of each child. The accuracy of the mothers' self-reported past infant-feeding events was examined and compared with the isotopic dilution technique. Breastfeeding practices were assessed in a sample of 44 Cameroonian mother-infant pairs using dietary recall since birth. Intakes of breast milk and non-breast milk water were measured in the same sample using the dose-to-the-mother deuterium-oxide turnover technique and compared with questionnaire. Results showed that mothers' self-reported behaviour overestimates the exclusive breastfeeding rate. Seventy-five per cent of the mothers who claimed to be exclusively breastfeeding were found to be predominantly or partially breastfeeding by the dose-to-the-mother deuterium-oxide turnover technique. Only 11% of the infants were exclusively breastfed, and the breast milk output was not significantly affected (P ≤ 0.05) by the mother's body composition. Mean intakes of breast milk and non-breast milk water were 701 mL day(-1) and 268 mL day(-1), respectively. Introduction of non-breast milk foods is associated with a reduction in the level of breast milk intake, but the difference in breast milk intake was not significant between exclusively and predominantly breastfed infants. In conclusion, the dose-to-the-mother deuterium-oxide turnover technique can be applied to validate the mother's reports of infant-feeding practices, but non-breast milk water intake by breastfeeding category still needs to be normalized.

Perceived barriers to receiving HIV services in groups of traditionally underserved individuals: empirical models.

Persons living with HIV/AIDS face many issues that make them highly vulnerable to a number of health and social problems. As the demographics of the epidemic have shifted in recent years, many members of traditionally underserved groups have encountered barriers to entering the services system. This article uses data from seven national demonstration projects funded to enroll persons with HIV/AIDS who tend to "fall through the cracks" and help them access needed services. Data on the initial perceptions of the participants about barriers to accessing services were related to 17 indicators of traditionally underserved status including demographic characteristics and behavioral variables using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Through the modeling methods, the groups most likely to experience a large number of barriers to service participation are identified. Having children needing care is particularly predictive of the level of barriers to care.

Unmet needs in groups of traditionally underserved individuals with HIV/AIDS: empirical models.

Over the course of the HIV epidemic, the demographics of the populations of affected individuals have changed. Groups that traditionally have been underserved in systems of care have a number of unmet service needs. This article presents results based on data from 478 patients in five national demonstration projects which were funded to enroll individuals from traditionally underserved groups and to help them access services using different strategies. The participants in these programs had a high level of unmet need prior to enrolling in care. Data on client service needs were related to 17 indicators of traditionally underserved status including demographic characteristics and risk behaviors, using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Crack cocaine users with HIV/AIDS were more likely than other patient groups to have unmet service needs. Patients who were homeless or in precarious housing also were vulnerable. Results are discussed in terms of designing and evaluating innovative service models to close these service gaps.

Finding the underserved: directions for HIV care in the future.

The demographic, behavior, and background characteristics of 4,804 participants in 17 national demonstration projects for HIV medical and/or psychosocial support services were coded for an index of "service need" or possible under-representation in the traditional healthcare system. Fifteen items were coded including status as a person of color, lack of private insurance, unemployment/disability, problem drinking, crack cocaine use, heroin use, other illicit drug use, less than 12 years of education, criminal justice system involvement, children requiring care while the patient receives services, sex work, being the sex partner of an injection drug user, unstable housing, primary language not English, and age less than 21 or over 55 years. Most (87.7%) of the program participants had four or more of these factors present. Through CHAID modeling, those groups with the highest levels of service need and vulnerability were identified. These data suggest that these projects, designed to attract and serve individuals potentially underrepresented in the health services system, had in fact achieved that goal. Implications of the changing demographics of the HIV epidemic for the health service delivery system are discussed.

Satisfaction with innovative community and university health clinic programs for groups of traditionally underserved individuals with HIV/AIDS: empirical models.

As the demographics of the populations of affected individuals have changed, systems of care have needed to adapt to be responsive to client needs. This article examines client satisfaction data from seven national demonstration projects funded to enroll individuals from traditionally underserved groups and help them access services using different strategies. Data on client satisfaction ratings were related to indicators of traditionally underserved status, including demographic characteristics, behaviors, and other risk factors using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Client groups that were most likely to experience relatively higher and lower levels of satisfaction with services are identified. Overall, all client groups were highly satisfied with the innovative HIV/AIDS services received. The findings illustrate the success of these innovative HIV care models in being responsive and sensitive to the needs of their target populations.

Typology of quality of life experiences among persons living with HIV.

This article develops a typology of 2,038 participants in 13 innovative HIV/AIDS treatment model service demonstration projects targeted to traditionally underserved populations. The typology is based on self-reported health-related quality of life levels. Eight clusters were identified that classify HIV/AIDS patients based on their reported health-related quality of life. Participants were clustered based on their overall levels of quality of life, as well as by deficits in specific areas of functioning such as energy level, physical impairment, and role impairment. However, factor analysis suggests that health-related quality of life as perceived by the HIV-positive participants is best represented as a single underlying dimension and an ordering of the types shows that they are consistently related, in the same order, to several criterion measures of impairment. The results suggest that a general categorization of patients with HIV in terms of quality of life is more meaningful than an assessment of the relative areas of impairment. Since the impairment ratings were also self-reported, analyses relating quality of life clusters to actual symptom levels and healthcare utilization are needed. Implications for the assessment of health-related quality of life and the evaluation of service delivery programs for persons living with HIV are discussed.

Service needs and factors related to quality of life at time of service enrollment among persons living with HIV.

This article explores the relationships of HIV risk factors, service needs, and vulnerabilities to health-related quality of life in a sample of 1,371 participants newly enrolled into 13 innovative HIV/AIDS treatment model service demonstration projects. These projects targeted services to traditionally underserved populations. Eight distinct quality of life clusters of HIV patients were used in this analysis along with patient self-identified risk factors. The quality of life clusters were based on patient self-reported quality of life dimensions. The eight clusters were differentiated based on relative strengths and weaknesses in physical functioning, energy levels, and social functioning. Data on patient need-vulnerability factors and demographic characteristics were related to these eight clusters using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Through this method, the characteristics most likely to be associated with higher and lower levels of quality of life at the time of enrollment into services were identified. The results provide further support that quality of life assessment is a useful clinical tool for monitoring patient progress.