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Record W2411333999 · doi:10.1097/tme.0000000000000023

Calling All APRN Researchers

2014· editorial· en· W2411333999 on OpenAlexaboutno aff
K. Sue Hoyt, Jean A. Proehl

Bibliographic record

VenueAdvanced Emergency Nursing Journal · 2014
Typeeditorial
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentMedicineScope of practiceHealth careNurse practitionersScope (computer science)Patient careFamily medicineNursingPolitical science

Abstract

fetched live from OpenAlex

There is widespread concern that the implementation of the Affordable Care Act will lead to increased health care spending in the United States. One commonly proposed mitigation strategy is the expansion of the scope of practice for advanced practice registered nurses (APRNs). In the November 2013 issue of Health Affairs, several authors discuss using nurse practitioners (NPs) as a way to decrease health care costs (Iglehart, 2013). This is good news. But we need more advanced practice research, especially in the area of emergency department (ED) patient outcomes. Historically, most of the patient outcomes studies with regard to emergency nurse practitioners (ENPs) have been published by ENPs in Australia, Canada, and the United Kingdom (Ducharme, Alder, Pelletier, Murray, & Tepper, 2009; Sandhu, Dale, Stallard, Crouch, & Glucksman, 2009). Only recently have ENPs from the United States offered research contributions with regard to ENPs and patient care outcomes. AUSTRALIAN STUDIES In 2006, ENPs from Australia looked at ENP care and ED patient flow (Considine, Martin, Smit, Winter, & Jenkins, 2006). This study compared ED wait times for patient assessment and management. The study also looked at length of stay (LOS) and treatment times for patients cared for by an ENP candidate as compared with the traditional ED care method with a physician. The authors concluded that there were no significant differences in wait times, LOS, and treatment times. The authors also noted that patient flow outcomes for patients seen by ENPs are comparable with those of patients managed by the physician. That same year Considine (2006) also set out to define the scope of practice of the ENP role in a metropolitan ED in Australia. In 2008, a group of researchers demonstrated shorter wait times and ED LOS associated with the use of ENPs in a major urban ED in Melbourne (Jennings, O'Reilly, Lee, Cameron, Free, & Bailey, 2008). The average wait time for emergency patients seen by the ENP was 12 min compared with 31 min for those seen by a physician. Length of stay in the ED was also significantly lower in the ENP group (94 min) than in the physician group (170 min). Wilson (2008) investigated the effectiveness of ENPs in an adult ED and assessed patient satisfaction for the care received for minor injuries. A majority of patients were satisfied with the treatment received from NPs. The authors also noted that patient flow through the department was significantly improved. CANADIAN STUDIES Carter and Chochinov (2007) performed a systematic review of the literature about the impact of ENPs on cost, quality of care, satisfaction, and wait times in the ED. The researchers focused on four outcome measures: (1) wait times, (2) patient satisfaction, (3) quality of care, and (4) cost-effectiveness. They noted that ENPs decreased wait times while providing quality, comprehensive, and cost-effective ED care, resulting in higher patient satisfaction. A 2008 study of patient satisfaction with NP care in Canadian EDs found that patients were satisfied with NP attentiveness and the comprehensiveness of their care and had a moderate understanding of the ENP role (Thrasher & Purc-Stephenson, 2008). Another Canadian study looked at the impact on patient flow after the integration of NPs and physician assistants (PAs) in six Ontario EDs (Ducharme et al., 2009). That study concluded that the addition of ENPs and PAs to the ED team could improve patient flow in medium-sized community hospital EDs. U.K. STUDIES A 2009 study compared the communication skills and patient satisfaction ratings of ENPs and ED physicians (Sandhu et al., 2009). This study compared the content of, and satisfaction with, consultations made by ENPs and physicians when patients presented to the ED with primary care problems. In the study, the researchers noted that ENPs seemed to focus more on patient education/counseling than did their physician counterparts. The authors noted that there were no statistically significant differences in consultation length. The study also revealed that ENPs had higher levels of self-satisfaction with their consultations than did the ED physicians. U.S. STUDIES In a 2012 study about the effectiveness ED provider in triage (PIT), the authors reported a quality improvement initiative to improve patient flow by redesigning the triage process (Love, Murphy, Lietz, & Jordan, 2012). The ED PIT decreased the time from patient arrival to initial contact with a licensed medical provider from 75 to 25 min. Also, the proportion of patients who left without being seen decreased from 3.6% to 0.9%. Bahena and Andreoni (2013) studied the use of the PIT. They found that using an ENP in triage was a cost-effective method to improve throughput in the ED while providing quality emergency care. Patient satisfaction, quality measures, and financial improvements occurred with the use of a PIT. The authors concluded that an ENP is an excellent ED triage provider option. In addition, the authors noted that by having advanced emergency nursing competencies and decision-making skills, the ENP is a cost-effective provider to improve throughput in the ED while providing quality emergency care. A recent study provided evidence regarding the impact of NPs when compared with physicians. This study addressed the areas of health care quality, safety, and effectiveness from 1990–2009. “A high level of evidence also indicated that patient outcomes on satisfaction with care, health status, functional status, number of ED visits and hospitalizations, blood glucose, blood pressure, and mortality are similar for NPs and MDs” (Stanik-Hutt et al., 2013, p. 492). MORE RESEARCH IS NEEDED We need more quantitative and qualitative studies focusing on patient outcomes when APRNs provide care in the ED. Studies indicate that ENPs can be a valuable resource to manage increased ED service demands, including wait times, LOS, and patient satisfaction. Increased use of ENPs may improve both access to care and patient satisfaction and help make the best use of limited health care resources. Research funding is available from the Centers for Medicare and Medicaid through the National Prevention Partnership Program at www.hhs.gov/ash/nppa-faq.html. For ED quality data, you can also access https://data.medicare.gov/data/hospital-compare/Timely%26&%Effective&20Care (Centers for Medicare & Medicaid Services, 2014). So, let's get researching and get writing. —K. Sue Hoyt, PhD, RN, FNP-BC, CEN, FAEN, FAANP, FAAN Emergency Nurse Practitioner St. Mary Medical Center Long Beach, CA —Jean A. Proehl, RN, MN, CEN, CPEN, FAEN Emergency Clinical Nurse Specialist Proehl PRN, LLC Cornish, NH

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.013
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.100
GPT teacher head0.528
Teacher spread0.428 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2014
Admission routes1
Has abstractyes

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