Use of Electronic Patient Reported Outcomes in Clinical Nephrology Practice: A Qualitative Pilot Study
Bibliographic record
Abstract
Background:Use of patient-reported outcome measures (PROM) in clinical practice can offer clinicians important information about the impact of illness on patients and their quality of life. Electronic reporting of patient-reported outcomes (ePROs) provide quick access of this information to the health care team. Although this type of information is acknowledged to be critical to not only improving the quality of care but also involving patients in care planning, little is known about how ePRO reports can be used in nephrology clinics to enhance person-centered care.Objective:The purpose of this research was to examine how ePROs were used in home dialysis clinics.Design:A pilot qualitative research design was employed.Setting:The study was conducted in 2 home dialysis clinics over 6 months.Patients:A total of 99 home dialysis patients and 12 nurses participated in the study.Measurements:Patients completed 2 ePROs (the Edmonton Symptom Assessment System revised for renal patients and Kidney Disease Quality of Life-36) prior to their clinic appointment, and results were given to their health care providers. Nurses saw patients first, along with ePRO data. Patients and nurses consented to having their clinic interactions observed and audio recorded (n = 169).Methods:Summative content analysis was used to synthesize the data.Results:The ePRO data were used to discuss 24 specific issues (brought up a total of 456 times over 165 interactions), most frequently: itchiness (n = 55), appetite (n = 51), problems with sleeping (n = 50), tiredness (n = 46), and shortness of breath (n = 45) as well as overall patient health and the general effects of kidney disease on the patient’s daily life. The issues that most often prompted a change in care plan, referral to another health care professional, or further assessment included itching (n = 23), depression (n = 18), tiredness (n = 13), sleeping (n = 12), anxiety (n = 11), and disease interfering with daily life (n = 7).Limitations:Limitations include the duration of follow-up (6 months), the restriction to 2 home dialysis clinics, and the potential for the Hawthorne effect due to observation.Conclusions:Use of these ePROs in the home dialysis clinics provided useful information that guided focused assessments and augmented standard assessments to support person-centered care. Further studies are warranted to identify whether this practice offers benefits over usual 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 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 | 0.035 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".