A Community Level Sample Survey to Determine CurrentUnderstanding About Medical Recycling of Cardiovascular ImplantableElectronic Devices
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".