Impacts of the COVID-19 Pandemic on the Healthcare Provision and Lived Experiences of Patients with Hydrocephalus
Bibliographic record
Abstract
The emergence of COVID-19 (SARS-CoV-2) led to distancing measures which acutely affected healthcare infrastructure, leading to limited in-person clinical visits and an increased number of virtual appointments. This study aimed to examine the effects this had on adults with hydrocephalus by describing the lived experiences of a cohort of patients at an outpatient hydrocephalus clinic. Between early May and early July of 2020, remote structured interviews were conducted with participants. Interviews were in-depth and open-ended, allowing participants to reflect and expand on the effects of the social distancing mandate on their well-being and quality of care. Three themes emerged: (1) impacts of changes in treatment provision, (2) impacts of changes in mitigating activities, and (3) impacts of changes on personal well-being. The comprehensive understanding of lived experiences may inform the future provision of healthcare services and social policy. Improved approaches to remote care telemedicine have the potential to facilitate high-quality care.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".