| Title |
The Nurse Education and Transition (NEAT) model: educating the hospitalized patient with diabetes
|
|---|---|
| Published in |
Clinical Diabetes and Endocrinology, January 2016
|
| DOI | 10.1186/s40842-016-0020-1 |
| Pubmed ID | |
| Authors |
Jodi Stotts Krall, Amy Calabrese Donihi, Mary Hatam, Janice Koshinsky, Linda Siminerio |
| Abstract |
The number of patients with a diabetes mellitus (DM)-related diagnosis is increasing, yet the number of hospital-based diabetes educators is being reduced. Interest in determining effective ways for staff nurses to deliver diabetes education (DE) is mounting. The purpose of this multi-phase feasibility study was to develop and evaluate the Nurse Education and Transition (NEAT) inpatient DM education model. Exploratory focus groups were conducted with staff nurses from inpatient units at academic tertiary and community hospitals to gain insight into barriers, content, delivery and support mechanisms related to providing DE to hospitalized patients. Findings informed the development of the NEAT model, which included a delivery protocol and toolkit with brief educational videos on key diabetes topics uploaded onto iPads, patient assessments and "teach back" tools, a discharge survival skills summary sheet, and guidelines for electronic medical record documentation and scheduling outpatient DE visits. Trained staff nurses used NEAT to deliver DE to hospitalized patients with DM and then participated in follow-up focus groups to assess their experiences, with particular attention to the usefulness of NEAT in meeting the needs of nurses related to the delivery of diabetes survival skill education. Information generated was analyzed to identify emerging key themes. Exploratory focus groups revealed that staff nurses view teaching patients with DM as part of their job, but report barriers. Nurses agreed that inpatient DE should be designed to assure safety after discharge and advised that it be patient-centered, targeted, assessment-based and user friendly. Nurses who participated in the delivery of NEAT found that the process and tools met the majority of the basic DE needs of their patients while relieving their workload. In particular, they reported that video and iPad technology provided a convenient and standardized method for facilitating teaching at the bedside, but requested that an interactive feedback mechanism be added to encourage patient self-knowledge assessment. This study presents challenges staff nurses face in providing DE to hospitalized patients and identifies opportunities and strategies for improving content and delivery to ensure safe transition of patients with DM from hospital to outpatient setting. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 19% |
| Lecturer | 10 | 12% |
| Student > Bachelor | 9 | 11% |
| Researcher | 7 | 8% |
| Librarian | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 24 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 31 | 37% |
| Medicine and Dentistry | 12 | 14% |
| Social Sciences | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Linguistics | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 26 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2017.
All research outputs
#13,224,317
of 22,849,304 outputs
Outputs from Clinical Diabetes and Endocrinology
#35
of 81 outputs
Outputs of similar age
#185,455
of 395,740 outputs
Outputs of similar age from Clinical Diabetes and Endocrinology
#3
of 6 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 81 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.