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Record W2886179700 · doi:10.14740/cr755w

A Community Level Sample Survey to Determine CurrentUnderstanding About Medical Recycling of Cardiovascular ImplantableElectronic Devices

2018· article· en· W2886179700 on OpenAlex
Milan Mahesh, Munish Sharma, Daniel AN Mascarenhas

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCardiology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicHealthcare and Environmental Waste Management
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityHealth careMedicinePopulationFamily medicineSample (material)DonationQuestionnaireEnvironmental healthPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Medical recycling and reutilization of cardiovascular implantableelectronic devices (CIEDs) have a significant impact not only in patientsof low-income countries but may also in certain patients in the UnitedStates who do not have sufficient medical insurance coverage. Themain determining factor for future utility and popularity of recycledmedical devices is thorough understanding about this topic amongstpublic and healthcare professional. To the best of our knowledge,there has been no study conducted so far at a community level to determinethe understanding in public and healthcare personnel about recyclingof medical devices including CIEDs. We sought to determine existingknowledge and attitude about recycling of CIEDs amongst representativesample population in a community. METHODS: A questionnaire was sent for online completion to multiple peoplein the community, healthcare and funeral home in Lehigh Valley, Pennsylvania,USA. The questionnaire was designed in order to assess three maincategories; knowledge, attitude and practice. We called this a KAPstudy which is an acronym for knowledge, attitude and practice survey. RESULTS: We got 117 responses to our questionnaire from community members(55.45%), 89 responses (42.18%) from the healthcare personnel andfive responses (2.37%) from funeral homes. About 30.77% communityparticipants had heard about medical devices recycling compared to57.30% participants from healthcare sector. A total of 88.64% of medicalprofessionals were aware that there are people in the world who diebecause they cannot afford CIEDs while 73.50% of community participantswere also found to be aware of this fact. Higher percentages of healthcareprofessionals were found to be willing to personally consider a decisionabout medical device donation compared to community participants. CONCLUSIONS: CIED reutilization can improve quality of life among many patientswith low or medium socioeconomic status. People should be made moreaware about the benefits of CIED reutilization. Concerns about device-relatedinfections, complications and law suits should be addressed to helpimprove their utility.

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.

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)0.014
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.506
GPT teacher head0.483
Teacher spread0.023 · 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