Perception and Attitude of Specialist Nurses, Patients and their Families on Internet + Nursing Service in Yunnan Provence: A Mixed-method Study (Preprint)
Bibliographic record
Abstract
Background: "Internet + nursing service" is currently in full swing in China.Domestic scholars have also explored the perception and participation willingness of patients and nurses on "Internet + nursing service" successively, but few scholars start from the perspective of specialist nurses, who are the main implementers of "Internet + nursing service".Objective: This study aims to understand the current situation of specialist nurses' perception and attitude towards "Internet+Nursing Service", and to explore its influencing factors.Methods: A total of 1200 specialist nurses participated in the questionnaire survey.The survey collected their perception and attitude of the "Internet+Nursing Service" using a self-developed questionnaire. Results:The 572 (47.7%) specialist nurses were aware of the "Internet+Nursing Service",they were willing to participate in "Internet+Nursing Service"(n=931,77.6%) ,and optimistic about the development prospect of "Internet + nursing service"( n=970,80.8%).They agreed with the government's attitude of vigorously promoting "Internet + nursing service" (n=1059,88.3%), and believed that it was necessary to carry out "Internet + nursing service"( n=984, 82%).The results of logistic regression analysis showed that the number of years of working seniority, position, age, type of nurse specialists, whether the institution carrying out "Internet + nursing service", and whether they had participated in "Internet+Nursing Service" were the factors influencing the specialist nurses' perception of and attitude towards "Internet+Nursing Service"(P?0.05).Conclusions: Specialist nurses have positive attitudes towards "Internet+Nursing Service", but their perception needs to be improved.It is suggested that the relevant departments should follow the national policy, penetrate the relevant perception in advance, and increase the publicity of "Internet+Nursing Service", so that more Specialist nurses can understand and participate in it.Meanwhile, optimising the access environment for specialist nurses, empowering and enabling them, and increasing the enthusiasm of specialist nurses to participate in "Internet + nursing service".
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".