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Record W2214529617 · doi:10.1186/s12885-015-2041-z

What does satisfaction with wait times mean to cancer patients?

2015· article· en· W2214529617 on OpenAlexafffund
Maria Mathews, Dana Ryan, Donna Bulman

Bibliographic record

VenueBMC Cancer · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsUniversity of New BrunswickSt. John’s Health Sciences Centre
FundersCanadian Institutes of Health Research
KeywordsPatient satisfactionMedicineThematic analysisInterpersonal communicationFamily medicineNursingHealth careEmpathyQualitative researchPsychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Patient satisfaction is an important element of quality improvement and patient-centered care, and is an indicator of the public's confidence in the health care system. Although shorter wait times are believed intuitively to lead to higher satisfaction, studies have demonstrated the importance of many other factors which contribute to patients' satisfaction with their wait time experiences. The current study explores the factors that shape patients' satisfaction with their overall wait times (i.e. from symptom to treatment). METHODS: We conducted qualitative interviews with 60 breast, prostate, lung, or colorectal cancer patients to examine the reasons behind patients' satisfaction or dissatisfaction with their wait time experiences. We purposefully recruited satisfied and unsatisfied participants from our larger survey sample. Using a semi-structured interview guide, patients were asked about their wait time experiences and the reasons behind their (dis)satisfaction. Interviews were transcribed verbatim and coded using a thematic approach. RESULTS: Patients' perceptions of satisfaction with wait times were influenced by three interrelated dimensions: the interpersonal skills of treating physicians (which included expressions/demonstrations of empathy and concern, quality of information exchange, accountability for errors), coordination (which included assistance navigating the health system, scheduling of appointments, sharing information between providers, coordination in scheduling appointments, and sharing of information ), and timeliness of care (which referred to providers' responsiveness to patients' symptoms, coverage during provider absences, and shared sense of urgency between patient and providers). Providers' willingness to "trouble shoot" and acknowledge errors/delays were particularly influential in patients' overall perception of their wait times. CONCLUSIONS: We described three dimensions of wait-related satisfaction: physicians' interpersonal skills, coordination of care, and timeliness of care, which are often interrelated and overlapping. Furthermore, while patients wait-related satisfaction was typically based on multiple interactions with different providers, positive or negative experiences with a single provider, often (but not always) the family physician, had a substantial impact on the overall satisfaction or dissatisfaction with wait time experiences. The findings provide a conceptual basis for the development of validated instruments to measure wait time-related patient satisfaction.

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)0.003
metaresearch head score (Gemma)0.025
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.082
GPT teacher head0.427
Teacher spread0.346 · 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

Citations53
Published2015
Admission routes2
Has abstractyes

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