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Record W4223441308 · doi:10.3390/ijerph19074256

An Evaluation Index System of Basic Elderly Care Services Based on the Perspective of Accessibility

2022· review· en· W4223441308 on OpenAlexaff
Jinrong Hu, Yuyuan Zhang, Victor Shi

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typereview
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsBusinessIndex (typography)Service (business)AdaptabilityQuality (philosophy)Service systemComputer scienceMarketingEconomics

Abstract

fetched live from OpenAlex

Population aging has become more and more severe in many countries. As a result, the demand for basic elderly care services has risen. The establishment of an evaluation index system for basic elderly care services can provide guidelines for governments to improve the quality of such services. Based on the "5A" theoretical analysis framework of Penchansky and Thomas, this paper introduces the concept of "accessibility" into evaluation. The "accessibility" model of services, through a literature review, field research, and three rounds of expert correspondence, consists of three first-level indicators, including the accessibility of home-based community elderly care services, the accessibility of institutional elderly care services, and the accessibility of administrative services. The evaluation index system of 15 s-level indicators and 70 third-level indicators, using AHP to determine the weight value of each indicator, provides a quantitative basis for the quality evaluation and improvement of basic elderly care services. Based on our quantitative results, policy recommendations are put forward: strengthen the support for the human and financial resources of community home-based elderly care services; improve the affordability of basic elderly care services; increase the types and numbers of institutional elderly care service projects; improve the availability and adaptability of institutional elderly care services; improve the accessibility of administrative services so that elderly care service institutions and elderly care administrative agencies can establish an effective communication and feedback mechanism.

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)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.158
GPT teacher head0.488
Teacher spread0.330 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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

Citations31
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Environmental Research and Public HealthSame topicMigration, Aging, and Tourism StudiesFrench-language works237,207