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Record W2137600361 · doi:10.1177/0898264305281100

A Systematic Review of Practice Standards and Research Ethics in Technology-Based Home Health Care Intervention Programs for Older Adults

2005· review· en· W2137600361 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Aging and Health · 2005
Typereview
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsAccountabilityResearch ethicsInformed consentMedicineIntervention (counseling)Health careBest practiceMedical educationInstitutional review boardInclusion (mineral)NursingPsychologyFamily medicineAlternative medicinePolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of the review is to assess frequencies of reporting adherence to professional practice standards and research ethics in studies of technology-based home health care programs. METHODS: Key databases were searched to yield 2,866 abstracts that were independently rated by two reviewers using inclusion-exclusion criteria, resulting in 107 articles that were then reviewed for reports of practice standards and research ethics. RESULTS: Issues related to professional practice standards and research ethics were not well reported. When reported, adherence to practice standards included preintervention training, use of intervention protocols, supervision, and mechanisms for risk management. Research ethics most commonly reported were informed consent, REB/IRB approval, and protection of privacy. DISCUSSION: The results raise questions as to whether practice standards and research ethics are addressed sufficiently when health service delivery occurs in technology-based environments. Guidelines for professional accountability in e-health service delivery are needed.

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)0.026
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.468
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.183
GPT teacher head0.613
Teacher spread0.430 · 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