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Record W6908007713 · doi:10.25384/sage.c.4225871

Effectiveness of a Web-Based eHealth Portal for Delivery of Care to Home Dialysis Patients: A Single-Arm Pilot Study

2018· other· en· W6908007713 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordseHealthPatient portalTelemedicineHealth careDialysisPeritoneal dialysisQuality of life (healthcare)Hemodialysis

Abstract

fetched live from OpenAlex

BackgroundImproving a patient’s experience with their care through an online interface for communication (an eHealth patient portal) has been shown to be beneficial in some studies of chronic disease populations. However, little is known about the effectiveness of an eHealth portal for delivery of care to home dialysis patients.ObjectivesPrimary: To determine whether an eHealth portal is effective at improving a patient’s experience with their home dialysis care. Secondary: (1) To determine whether an eHealth portal improves health-related quality of life for home dialysis patients, (2) to assess patient satisfaction with an eHealth portal and perceived impact on aspects of their home dialysis therapy and health, (3) to determine the acceptability of the eHealth portal software, and (4) to determine the change in telephone usage for communication after patient adoption of an eHealth portal.DesignSingle-arm pilot trial with recruitment over a 4-month period.SettingThe multidisciplinary home dialysis clinic in Halifax Nova Scotia Canada.PatientsAdults (>18 years) receiving either home hemodialysis or peritoneal dialysis.MeasurementsConsumer quality index (CQI), health-related quality of life using the EuroQol Five Dimensions Questionnaire (EQ-5D), acceptability of the eHealth portal software (using the Acceptability E-scale), and satisfaction/perceived impact (using a modified questionnaire).MethodsA web-based application (McKesson, Canada, RelayHealth®) allowed patients and health care workers to communicate through a secure, password-protected online portal that permitted visualization of the messaging history by patient and provider. Patients and the home dialysis health care team had the ability to send messages related to patient care at any time including proposed changes to medication, instructions after a clinic visit, times of new appointments, upcoming investigations, or questions about care. Patient experience with home dialysis care using the CQI, health-related quality of life using the EQ-5D, acceptability of the eHealth portal software, and satisfaction/perceived impact were assessed at baseline, 6, and 12 months of follow-up (where applicable). Total minutes of telephone communication was assessed prior to and after adoption of the portal.ResultsOf the 41 patients who consented to join the portal, 27 (66%) created an online account. At baseline, patients had a positive experience for the care and communication provided by their nephrologist (CQI: 3.63, 95% confidence interval [CI]: 3.50-3.76) and this did not change significantly over the study period. Similar results were observed for the care provided by other nephrology health care team members. Health-related quality of life using the EQ-5D score was 0.80 (interquartile range [IQR]: 0.71-0.83) at baseline and this also did not significantly change over the study period. Patients were satisfied with the eHealth portal (mean Likert scale score of 6.5 ± 0.6 in overall satisfaction, scale ranging from 1 completely dissatisfied to 10 completely satisfied), but only a minority (N = 12) completed a satisfaction questionnaire. Median monthly phone usage decreased from 12.5 to 10 minutes (P = .02) after adoption of the portal.LimitationsThe study is limited by the small sample size, high rate of patient dropout, and limited response rate.ConclusionsIn this study of home dialysis patients, we identified that an eHealth communication did not lead to significant improvements in patient experience with home dialysis care.Trial RegistrationClinicalTrials.gov number NCT02128347

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.052
GPT teacher head0.333
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueSage Journals DataFrench-language works237,207