Patient experience of residents with restricted primary care access during the COVID-19 pandemic
Bibliographic record
Abstract
OBJECTIVES: To evaluate primary care access for COVID-19 consultation among residents who have a usual source of care (USC) and to examine their associations with patient experience during the pandemic in Japan. DESIGN: Nationwide cross-sectional study. SETTING: Japanese general adult population. PARTICIPANTS: 1004 adult residents who have a USC. MAIN OUTCOME MEASURES: Patient experience assessed by the Japanese version of Primary Care Assessment Tool Short Form (JPCAT-SF). RESULTS: A total of 198 (19.7%) reported restricted primary care access for COVID-19 consultation despite having a USC. After adjustment for possible confounders, restricted primary care access for COVID-19 consultation was negatively associated with the JPCAT-SF total score (adjusted mean difference = -8.61, 95% CI -11.11 to -6.10). In addition, restricted primary care access was significantly associated with a decrease in all JPCAT-SF domain scores. CONCLUSIONS: Approximately one-fifth of adult residents who had a USC reported restricted primary care access for COVID-19 consultation during the pandemic in Japan. Our study also found that restricted primary care access for COVID-19 consultation was negatively associated with a wide range of patient experience including first contact. Material, financial and educational support to primary care facilities, the spread of telemedicine and the application of a patient registration system might be necessary to improve access to primary care during a pandemic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".