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Record W4384625936 · doi:10.1111/iwj.14321

The world of wound care loses a true legend: Dr. Barbara Braden

2023· editorial· en· W4384625936 on OpenAlexaboutno aff
Keith G Harding, Douglas Queen

Bibliographic record

VenueInternational Wound Journal · 2023
Typeeditorial
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorBattleLegendMedicineGerontologyNursingArt historyHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

The IWJ family were saddened to learn of the passing of a wound care legend Dr. Barbara Braden after a 2-year battle with cancer. While many of us may not have personally met Barbara, her name is known universally. Barbara J. Braden, PhD, FAAN, was the Dean of University College at Creighton University in Omaha, Nebraska. She received her bachelor's degree from Creighton University in 1973, her master's from the University of California at San Francisco in 1975 and her doctoral degree from the University of Texas at Austin in 1988. She is best known for her work in the development of the Braden Scale for Predicting Pressure Sore Risk, which has been translated into many languages and is used on all continents. Dr. Braden is a Fellow of the American Academy of Nursing, and a past member of the NPUAP board of directors. In her own words in an interview with Wounds Canada in 2007, she explained her surprising journey. ‘I authored the tool out of my expertise in clinical nursing but working with Dr. Nancy Bergstrom to test it convinced me to get my PhD. It has propelled me from being known locally and regionally to being known nationally and internationally. It has resulted in opportunities to speak to multidisciplinary audiences around the world. Because of it, I have received awards for achievement from the Creighton University, University of California at San Francisco and the University of Texas at Austin. It took me from faculty to administration and directly resulted in my appointment as Graduate Dean at Creighton University. Many people read this and interpret it as meaning I was in charge of graduate programs in nursing. But because of my international reputation for research in the field, the faculty of the university had sufficient respect for my expertise to make me Dean of the entire Graduate School, which included 21 master's programs and three doctoral programs across five different schools. In short, it turned a nice and moderately successful career into an unbelievably fabulous career!’1 It may have been surprising to her but not to those who knew her. Being the namesake of the most widely used pressure injury risk assessment globally changed her career. Dr. Braden had a major impact in nursing research and alongside her colleague Dr. Nancy Bergstrom changed pressure ulcer care forever. She was a leader in supporting nursing research and a strong advocate for nursing science and evidenced based care. Her passing while sad, reminds us all of the extensive influence of Barbara Braden in the wound-care area and she will leave a legacy in this area for other clinicians and researcher to benefit from. Her legacy will live on through the continued work of many others, using the Braden Scale. We all know she made the world a better place. Let us face it we all know that nurses make the world a better place. Plain and simple, they are the engine of healthcare. A legacy like the Braden Scale is testament to this impact being an excellent reminder of the difference nurses can make. Dr. Braden, we thank you for all you contributed to our world of wound care. We thank you for making a difference in the lives of clinicians caring for those with wounds. But most of all we thank you for your impact in reducing the pain and suffering of those with or having the potential for pressure injuries. The world has Superman and Superwoman but has sadly lost its Supernurse! Rest In Peace, and make sure those in heaven know how to use the Braden Scale effectively!

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.257
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.432
Teacher spread0.397 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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