MétaCan
Menu
← Back to cohort
Record W7133053043

Gender Affirmation Surgery: Understanding and Accounting for the Social and Economic Impacts of Access to Care Through an Institutional Ethnography of Patient Experiences in the Ontario Health System

2024· dissertation· W7133053043 on OpenAlexfundaboutno aff
Chantal R. Valiquette

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniversity of Toronto
KeywordsHealth careContext (archaeology)SituatedEthnographyReimbursementScope (computer science)Perspective (graphical)Economic evaluation
DOInot available

Abstract

fetched live from OpenAlex

AbstractInequitable coverage of services between and within provinces and strict criteria to qualify for gender affirming care are barriers that continue to exist for transgender and gender diverse (TGD) individuals trying to access gender affirmation surgery (GAS). Using institutional ethnography (IE), this project aimed to provide evidence supporting an economic reimbursement model that considers the lived experience of TGD patients and their healthcare practitioners in accessing GAS care through Ontario’s health system. Drawing from the experiences of TGD individuals and their healthcare practitioners, this study explored the ways in which social and economic experiences of these populations can be used to inform system level changes in the provision of GAS. OutlineFirst, a theoretical/ontological and methodological approach was established for conducting an institutional ethnography of, and for, economic evaluations, a novel IE approach (Chapter 2). The ways that IE evidence could be integrated into health economic evaluations (IE for economic evaluations) fell into categories of establishing point of view (i.e., using IE standpoint to determine which perspective an economic evaluation should take), considering system(s) scope (i.e., using IE evidence to validate or identify valuations of health), and utilization of textual materials (i.e., contextualizing health system processes through resources and academic literature). The approach developed was situated in the context of current health economics literature related to health equity. How IE evidence may be used for broader assessment of economic evaluations as tools in health policy decision-making (IE of economic evaluations) was also conceptualized. Prior to conducting an IE of or for GAS economic evaluations, an initial traditional economic evaluation was done. To understand the value and economic case for funding GAS in Ontario, a cost-utility analysis (CUA) was performed by estimating the effectiveness of top surgery GAS in Ontario from a conventional health system payer perspective (Chapter 3). To complement the economic evaluation, IE evidence was generated to evaluate the social and economic impacts of GAS from the standpoint of TGD individuals pursuing surgical care as well as healthcare practitioners (HCPs) involved in GAS provision. IE analysis identified barriers (related to principles of the Canada Health Act) experienced by TGD patients in the current OHIP referral pathway and considered how medical ethics principles have been applied to TGD populations undergoing GAS (Chapter 4). Finally, this thesis considered how the IE evidence could be utilized to fill gaps in the scant literature on the range of health and non-health outcomes associated with GAS that are not routinely accounted for in traditional economic evaluations. Applications of this work were also discussed (Chapter 5). IE evidence was applied to conceptualize how future GAS health economic evaluations could incorporate the experiential expertise from TGD patients and providers. Evidence suggested that developing TGD specific health valuations, taking societal perspectives, re-defining health outcomes of importance, and contextualizing TGD health literature were ways in which IE expertise that reflects institutional knowledge could better align economic evaluation model perspectives and outputs. Further IE analysis allowed for critical appraisal of how economic evaluations of GAS provision are assessed by healthcare decision-makers. This work demonstrated how IE evidence can validate or identify important characteristics of health economic evaluations through centering lived experience expertise. It also identified the limitations of an integrated IE approach by critically analyzing the ways in which economic evaluations are utilized in healthcare decision-making.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.589

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.016
Scholarly communication0.0060.004
Open science0.0020.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.218
GPT teacher head0.476
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueTSpace→Same topicLGBTQ Health, Identity, and Policy→French-language works237,207→