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Record W3058501197 · doi:10.1093/pch/pxaa068.031

32 Web-based Camera (NICView) as a sense of proximity tool: a Quality-Improvement initiative for parents of neonates admitted in the NICU

2020· article· en· W3058501197 on OpenAlexaboutno aff
Kaarthigeyan Kalaniti, Veronica Samedi, Adel Riehl, William Bingham, Sibasis Daspal

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionMedicineFamily centered careAnxietyNursingHealth careQuality (philosophy)Service (business)Family medicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Family-centered care (FCC) is an important approach and a vital component in healthcare. However, implementation of FCC model in a clinical setting presents a challenge. Effective parent-health care provider relationships are very essential in NICU especially when treatment is complex during the management of critically-ill neonates. Web-based camera (WBC) systems have been used in a few NICUs in the USA and the UK, allowing virtual visitation of the family members. However, to the best of our knowledge, there is no center in Canada that has utilized this WBC (NICView ®) service. NICView® is a WBC mounted to the baby’s bed, which is streaming ‘live’ video around-the-clock to parents and families. We report the perception of parents and their satisfaction after using NICView® facility in our NICU. Objectives Our goal was to see if the WBC system reduced the anxiety and stress level in parents by exploring NICView ® as a tool to enhance FCC model. This study was designed to explore the perception of parents and their satisfaction levels during their newborns stay within our NICU. Design/Methods A prospective, questionnaire-based study conducted over 6-month period. Determinants that may facilitate or disrupt the use of a commercially-available camera device were identified. After signing an informed consent form, the parents utilized the camera service continuously throughout the newborn stay within the NICU, except during the times of procedures, feedings and routine baby care. Demographic information of parents was collected in the questionnaire, along with along satisfaction questions. Parents filled out the questionnaires after 1-week of utilization of the camera or sooner if the baby was getting discharged. Results 94 respondents completed the questionnaire. Parental perception was consistent with earlier studies. Almost all parents used the service on a regular basis, twenty NICView cameras had more than 7000 logins by respondents during study period. Family members residing out of Saskatoon or out-of-SK and in some instances out-of-Canada used it the most, especially working fathers or distant grandparents. Seventy-five percent of the respondents were mothers. Almost 89% of parents reported having the WBC system helped reduce their anxiety and stress levels. All parents (100%) recommended this WBC system to other parents and strongly agreed that NICView was easy to use. Nearly 98% of parents agreed that they felt very connected with their baby using the WBC system. Frequently reported comments were on the positioning of camera like incorrect camera placement that did not offer a good view of the baby, the need to call nurses sometimes to turn on or adjust the camera after care, using the chat option to adjust the camera position when moved away. After we saw these frequent comments, we had to reiterate to bed-side nurses to re-position the camera if moved away and reminded parents to make use of the NICView® 24-hr customer support service available offered by the company. Conclusion

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.082
GPT teacher head0.395
Teacher spread0.314 · 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 designObservational
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

Citations2
Published2020
Admission routes1
Has abstractyes

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