Mastery learning in a bachelor's of nursing program: the Roseman University of Health Sciences experience

BACKGROUND

Roseman University of Health Sciences (RUHS) developed and delivers a mastery learning curriculum designed for students to acquire the knowledge and skills to become competent nurses. Despite a trend in nursing education to adopt competency-based education (CBE) models, there is little in the nursing literature about programs based on a mastery model. The aim of this study is to describe an undergraduate nursing program built on a mastery learning model and to report on program outcome measures.

METHODS

The 18-month BSN nursing program is divided into blocks, varying in length and focusing on a single subject. Students must demonstrate mastery, defined as ≥90% on an assessment, to pass a block. Recognizing the critical nature of health care, educators seek methods to assure that practitioners become competent to perform the services they provide.Program outcomes reported include comparisons to national standards and RUHS student exit survey data.

RESULTS

From 2013 to 2017 the RUHS College of Nursing students' pass rates ranged from 82 to 97% for the National Council Licensure Examination exam compared to national pass rates between 81.8-84.5% during the same time frame. The program completion rate ranged from 86 to 100% and employment rates exceeded accreditation standards. Students reported overall satisfaction with their education as 4.38 and with the block system as 4.74 (5 point Likert scale).

CONCLUSIONS

Roseman University's mastery learning model appears successful as measured by high levels of student satisfaction, outcomes on exams, and degree completion when compared to national averages. The results suggest that other nursing and health profession's programs can develop a successful mastery based learning model.

A comparison of electronic and manual fracture risk assessment tools in screening elderly male US veterans at risk for osteoporosis

This study compares four screening tools in their ability to predict osteoporosis. We found that there was no significant difference between the tools. These results provide support for the use of automated screening tools which work in conjunction with the electronic medical record and help improve screening rates for osteoporosis.

INTRODUCTION

The purpose of this study is to compare the performance of four fracture risk assessment tools (FRATs) in identifying osteoporosis by bone mineral density (BMD) T-score: Veterans Affairs Fracture Absolute Risk Assessment Tool (VA-FARA), World Health Organization's Fracture Risk Assessment Tool (FRAX), electronic FRAX (e-FRAX), and Osteoporosis Self-Assessment Screening Tool (OST).

METHODS

We performed a cross-sectional analysis of all patients enrolled in the VA Salt Lake City bone health team (BHT) who had completed a DXA scan between February 1, 2012, and February 1, 2013. DXA scan results were obtained by chart abstraction. For calculation of FRAX, osteoporosis risk factors were obtained from a screening questionnaire completed prior to DXA. For VA-FARA and e-FRAX, risk factors were derived from the electronic medical record (EMR). Clinical risk scores were calculated and compared against the gold standard of DXA-based osteoporosis. Sensitivity, specificity, and predictive values were calculated. Receiver operator characteristic (ROC) curves were plotted, and areas under the curve (AUC) were compared.

RESULTS

A cohort of 463 patients met eligibility criteria (mean age 80.4 years). One hundred twelve patients (24%) had osteoporosis as defined by DXA T-score ≤-2.5. Sensitivity, specificity, and predictive values were calculated. ROC statistics were compared and did not reach statistical significance difference between FRATs in identifying DXA-based osteoporosis.

CONCLUSIONS

Our study suggests that all FRATs tested perform similarly in identifying osteoporosis among elderly, primarily Caucasian, male veterans. If these electronic screening methods perform similarly for fracture outcomes, they could replace manual FRAX and thus improve efficiency in identifying individuals who should be sent for DXA scan.

The Bone Health Team: A Team-Based Approach to Improving Osteoporosis Care for Primary Care Patients

BACKGROUND

Significant improvements in secondary prevention of osteoporotic fractures have been noted with fracture liaison services. However, similar models for the primary prevention of such fractures have not been reported.

OBJECTIVE

To determine the impact of a Bone Health Team (BHT) on osteoporosis screening and treatment rates in U.S. veterans in primary care practices.

DESIGN

Historical cohort study of a primary care-based intervention of a BHT from February 2013 to February 2015.

SETTING

Community-based outpatient clinics of the Salt Lake City Veterans Affairs Health Care System.

PARTICIPANTS

Men aged 70 years and older and women aged 65 years and older.

INTERVENTION

Enrollment in the BHT.

MEASUREMENTS

Rates of dual energy x-ray absorptiometry (DXA) completion, chart diagnosis of osteoporosis or osteopenia, completion of vitamin D measurement, and initiation of fracture reducing medication.

RESULTS

Our cohort consisted of 7644 individuals, 975 of whom were exposed to the BHT and 6669 of whom were not. Comparison of patients exposed to the BHT versus non-exposed subjects demonstrated a substantial increase in all outcome measures studied. Hazard ratios (HRs) from multivariable cox proportional hazard models were: measurement of vitamin D, HR = 1.619 ( P < .001); chart diagnosis of osteopenia, HR = 37.00 ( P < .001); chart diagnosis of osteoporosis, HR = 16.38 ( P < .001); osteoporosis medication, HR = 17.03 ( P < .001); and completion of DXA, HR = 139.9 ( P < .001).

CONCLUSIONS AND RELEVANCE

The implementation of a dedicated BHT produced significantly increased rates of intermediate osteoporosis outcome measures in US veterans in primary care practices. Additional research describing medication adherence rates and cost-effectiveness is forthcoming.