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Record W3214945139 · doi:10.7939/r3-kepd-0f64

Volunteer-student experiences and patient access to an inner-city dental clinic

2021· article· en· W3214945139 on OpenAlexaboutno aff
Maria G Kallal

Bibliographic record

VenueUniversity of Alberta Library · 2021
Typearticle
Languageen
FieldDentistry
TopicDental Research and COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsVolunteerMedicineMedical education

Abstract

fetched live from OpenAlex

Background: Low-income Canadians face multi-faceted physical and social barriers to dental care including but not limited to cost and stigma. Recognising the barriers to care, the Student-Health Initiative for the Needs of Edmonton (SHINE) dental clinic was created in 2004. SHINE is a student-volunteer operated clinic that aims to reduce inequalities in access to oral health care by offering free dental care to low-income individuals. However, as SHINE is a volunteer initiative independent from the undergraduate dentistry and dental hygiene programs at the University of Alberta, there has been limited investigation into the clinic and how it aligns with patient needs and contributes to student learning. Purpose: The purpose of this dissertation was to explore the accessibility to SHINE for oral health care, and how students perceive volunteering at SHINE contributes to their learning. Methods: The dissertation consists of three related papers: (1) interviews with health brokers were held to explore access to SHINE for the intended patient population to understand SHINE’s alignment to the populations needs; (2) student focus groups explored how the volunteer experience at SHINE contributed to student learning; (3) patient surveys and field notes investigated patient satisfaction with access, patient oral health concerns, and alternative dental care options outside of SHINE. Results: Interviews with health brokers revealed lack of awareness of the SHINE clinic. Further, English language translation support was an identified need, and there was concern for clients who fear discrimination in health care settings. From the student focused groups, data showed that students gained both clinical and cultural competence by volunteering at SHINE. Three themes were derived from the data which captured how SHINE benefitted student learning: learning environment, learning enhancements, and learning from patients. Patient surveys revealed that patients primarily present to SHINE for pain (52%) or broken teeth. However, desire for preventative care was indicated by 25.2% seeking dental hygiene services. Patients were generally satisfied with SHINE although the least satisfaction was seen in time spent waiting to attain care and patient ability to attain dental care when needed. Dissatisfaction was correlated with attending SHINE without receiving treatment. Field notes revealed physical accessibility barriers not captured within the survey. If SHINE was not an option for receiving dental care, 32% would seek care through an emergency department or physician and 27% would not attain care at all. Conclusion: Health brokers identified preliminary barriers to dental care at SHINE. However, further investigation was required to understand SHINE’s accessibility. Through patient surveys and field notes, remaining barriers were identified to be wait times and capacity for SHINE to provide all dental services required. Although patients were generally satisfied with access to SHINE, suggestions were made to alleviate barriers. Access to care at SHINE may reduce the utilization of emergency departments. Students’ experiences volunteering with SHINE had beneficial learning outcomes and brought to light three considerations for undergraduate dentistry and dental hygiene education; need for further cultural competence education, student desire for “real-life” clinical experiences, and a reduction in evaluations once clinical competency was achieved.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.024
GPT teacher head0.300
Teacher spread0.276 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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