Brief Communication: Patient Satisfaction with the Use of Tablet Computers: A Pilot Study in Two Outpatient Home Dialysis Clinics
Bibliographic record
Abstract
BACKGROUND: Electronic capture of patients' reports of their health is significant in clinical nephrology research because health-related quality of life (HRQOL) for patients with end-stage renal disease is compromised and assessment by patients of their HRQOL in practice is relatively uncommon. OBJECTIVE: The purpose of this study was to evaluate patient satisfaction with and time involved in administering HRQOL and symptom assessment measures using tablet computers in two outpatient home dialysis clinics. DESIGN: A cross-sectional observational study design was employed. SETTING: The study was conducted in two home dialysis clinics. PATIENTS: Fifty-six patients participated in the study; 35 males (63%) and 21 females (37%) with a mean age of 66 ± 12 (36-90 years old) were included. Forty-nine participants were on peritoneal dialysis (87%), 6 on home hemodialysis (11%), and 1 on nocturnal home hemodialysis (2%). MEASUREMENTS: Measures included the Kidney Disease Quality of Life-36 (KDQOL-36), the Edmonton Symptom Assessment Scale (ESAS) and Participant's Level of Satisfaction in Using a Tablet Computer. METHODS: Using a tablet computer, participants completed the three measures. Descriptive statistics and bivariate correlations were calculated. RESULTS: Participants' satisfaction with use of the tablet computer was high; 66% were "very satisfied", 7% "satisfied", 2% "slightly satisfied", and 18% "neutral". On the 7-point Likert-type scale, the mean satisfaction score was 5.11 (SD = 1.6). Mean time to complete the measures was: Level of Satisfaction 1.15 minutes (SD = 0.41), ESAS 2.55 minutes (SD = 1.04), and KDQOL 9.56 minutes (SD = 2.03); the mean time to complete all three instruments was 13.19 minutes (SD = 2.42). There were no significant correlations between level of satisfaction and age, gender, HRQOL, time taken to complete surveys, computer experience, or comfort with technology. Comfort with technology and computer experience were highly correlated, r = .7, p (one-tailed) < 0.01. LIMITATIONS: Limitations include lack of generalizability because of a small self-selected sample of relatively healthy patients and a lack of psychometric testing on the measure of satisfaction. CONCLUSIONS: Participants were satisfied with the platform and the time involved for completion of instruments was modest. Routine use of HRQOL measures for clinical purposes may be facilitated through use of tablet computers.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".