Survey of Peritoneal Dialysis Patients' Challenges and Experiences during the COVID-19 Pandemic: A Multicenter Study in the United States
Bibliographic record
Abstract
Key Points The adjustments made by the dialysis units during the peak of the pandemic were effective in maneuvering the challenges faced by our patients during the COVID-19 pandemic. Patients who remained on PD were satisfied with the quality of care, felt supported by the unit staff, and did not report feeling anxious or depressed. Background During the coronavirus disease 2019 (COVID-19) pandemic, adjustments were made to peritoneal dialysis (PD) practices in the outpatient units. These were decisions made by dialysis providers, clinical staff, and governments with input from patient organizations in some instances. The patient perspective regarding these changes during the pandemic has not been explored. We sought to evaluate patient experiences and perceptions of the challenges they faced, institutional adjustments, and their mental health during the height of the COVID-19 pandemic in the United States. Methods We conducted a cross-sectional survey of PD patients across four home dialysis units affiliated with four large academic centers, who were on PD between March 2020 and March 2021. Results Ninety-eight participants completed the survey across the four outpatient PD clinics. Over 95% of patients did not have to change their home accommodations during the pandemic, and over 80% did not have issues getting their dialysis supplies and medications delivered. Ninety-three percent of patients felt comfortable coming to the dialysis unit if they needed to during the pandemic. Almost all patients (98%) felt supported by their dialysis staff during the peak of COVID-19 and had modified Patient Health Questionnaire 2 (91%) and Generalized Anxiety Disorder 2-item (96%) scores not consistent with depression or anxiety. Less than 10% of patients considered changing their dialysis modality. Conclusions The adjustments made by the dialysis units during the peak of the pandemic were effective in maneuvering the challenges faced by our patients during the COVID-19 pandemic. Overall, patients who remained on PD were satisfied with the quality of care, felt supported by the unit staff, and did not report feeling anxious or depressed. Podcast This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/K360/2023_12_01_KID0000000000000202.mp3
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".