MétaCan
Menu
Back to cohort
Record W2275827368 · doi:10.22038/ebcj.2016.6160

Prescribing: A Crucial Factor in the Professionalization of Nursing in Iran

2016· article· en· W2275827368 on OpenAlexaboutno aff
Hamidreza Haririan

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsWorkloadNursingMedical prescriptionMedicineDelegateProfessionalizationDistrict nurseHealth careFamily medicinePolitical science

Abstract

fetched live from OpenAlex

In the past two decades, the number of countries giving the permission of prescribing to nurses has increased. Nowadays, in countries such as Australia, South Africa, Ireland, Finland, Canada, Norway, New Zealand, Sweden, Britain, Spain, and America, nurses have the legal right to prescribe medicine. Nurse prescribing can enhance the quality of care, save patients’ time and money, promote occupational independence in nurses, and provide an opportunity for nurses to use their professional skills more efficiently [1]. In addition, it leads to optimal use of time, elimination of repetitive procedures for nurses, improvement of disease management, reduction in the number of hospital admissions, minimizing the duration of hospital stay, and lowering health costs [2, 3]. In a study done by Courtenay, entitled “Prescription by Nurses: Advantages and Risks”, the results indicated that nurse prescribing can increase communication between different health professionals, decrease physicians’ workload, promote holistic care, and diminish the waiting time for patients to receive a prescription. In this study, patients expressed the advantages of nurse prescribing to be: accessibility of nurses, receiving detailed information about disease from the nurses, easiness and quickness of nurse prescribing, and nurses’ in-depth knowledge about patient’s condition [4]. Since cost containment is one of the most important policies of worldwide health system, experts believe that one strategy to achieve this goal is to delegate some of the responsibilities of physicians to nurses. It can also help nurses to ensure their occupational development and promote professionalism in nurses [5]. In addition, physicians believe that since nurses have more interpersonal contact with patients, they can have a more efficient role in patient training, especially in terms of the details of prescriptions [2-4]. Nurse prescribing was first introduced in Britain in 1986 by Community health nurses and in a Cambridge report. In 1998, it was performed using a Nurse Prescriber’s Formulary in a limited form. It was eventually made official in 2006 and any Registered Nurse (RN) with three years of experience was allowed to participate in Prescription Writing courses. Most of nurse prescribers are currently working in health care centers of Britain. Nurse prescribing has been proposed since 2000 with the development of the national health system and the growing emphasis on providing timely health services for patients. According to the formulary of 2002, independent nurse prescribers in Britain prescribed 180 drugs for about 80 clinical situations, which reached to 240 kinds of drugs for 110 different clinical situations in 1. PhD Candidate in Nursing, School of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran *Corresponding author, Email: houman.haririan@gmail.com 2005. These nurses were able to prescribe all the legal drugs, except for some of the controlled ones such as some narcotics since 2006 [6]. In an African country called Botswana, nurses have been able to write prescriptions in hospitals, public clinics, and different wards since 1992. Nurses in South Africa have achieved the right to independent prescriptions writing since 1997 [7]. The laws of prescription writing in America vary for each state and Advanced Practitioner Nurses (APN) have achieved the privilege of writing prescriptions since 1969, and since 2003 in more than 40 states of America they can prescribe drugs [8]. Darvishpour performed a study in Iran entitled “An Analysis on Prescription by Nurses in Iran and the World: A Comparison”. It showed that even though people do not concept the prescriptions written by nurses, sometimes they are driven by necessity to use nurse prescribing in most hospital wards, especially emergency wards. Quite the same as other developed countries, the prescribing pattern in Iran is in a range between independent and dependent. But its quality and way of application is extremely different from them, since it is mostly done illegally or even in some cases, secretly [9]. Based on the results of various studies, it has been illustrated that one of the main factors in the professionalization of nurses is having independency in their job [1, 3, 10]. Since nurse prescribing has several advantages for patients, nurses, and even physicians, and because it creates a sense of being useful, independency, and professional identity for nurses [2-4, 11], it can be introduced as a Discipline for the society. Therefore, it seems necessary to develop and design native structures for nurse prescribing in Iran.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.576
GPT teacher head0.677
Teacher spread0.101 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicNursing Roles and PracticesFrench-language works237,207