Evidence map›Paper›PMID 42761400›Full record

ArticleInternational journal of telemedicine and applications2026

Teledialysis in Community Settings: Evaluation of Feasibility, Safety and Effectiveness.

Thin Han, Colin Brown, Yishen Wang, Moses Ezeakile, Erin McGovern, Rachel Scott, Zaw Thet, Mahmudul Hassan Al Imam, Gulam Khandaker, Craig F Munns

Abstract read
In one paragraph

Article in International journal of telemedicine and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Thin HanDepartment of Nephrology, Division of Medicine, Central Queensland Hospital and Health Service (CQHHS), Rockhampton, Queensland, Australia.ORCID https://orcid.org/0000-0001-8540-3316
Colin BrownDepartment of Nephrology, Division of Medicine, Central Queensland Hospital and Health Service (CQHHS), Rockhampton, Queensland, Australia.ORCID https://orcid.org/0009-0007-7026-9995
Yishen WangDepartment of Nephrology, Division of Medicine, Central Queensland Hospital and Health Service (CQHHS), Rockhampton, Queensland, Australia.
Moses EzeakileDepartment of Nephrology, Division of Medicine, Central Queensland Hospital and Health Service (CQHHS), Rockhampton, Queensland, Australia.ORCID https://orcid.org/0009-0003-0788-3758
Erin McGovernDepartment of Nephrology, Division of Medicine, Central Queensland Hospital and Health Service (CQHHS), Rockhampton, Queensland, Australia.ORCID https://orcid.org/0009-0007-5284-807X
Rachel ScottDepartment of Nephrology, Division of Medicine, Central Queensland Hospital and Health Service (CQHHS), Rockhampton, Queensland, Australia.ORCID https://orcid.org/0009-0002-6192-455X
Zaw ThetDepartment of Nephrology, Division of Medicine, Central Queensland Hospital and Health Service (CQHHS), Rockhampton, Queensland, Australia.ORCID https://orcid.org/0000-0001-7150-2399
Mahmudul Hassan Al ImamCentral Queensland Public Health Unit, CQHHS, Rockhampton, Queensland, Australia.ORCID https://orcid.org/0000-0002-1670-9060
Gulam KhandakerCentral Queensland Public Health Unit, CQHHS, Rockhampton, Queensland, Australia.ORCID https://orcid.org/0000-0002-0661-4113
Craig F MunnsMedical School, The University of Queensland, Brisbane, Queensland, Australia, uq.edu.au.ORCID https://orcid.org/0000-0001-5898-5808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of patients with end-stage kidney disease requiring haemodialysis (HD) is increasing worldwide, placing substantial pressure on healthcare systems. In Central Queensland, Australia, many patients, including Indigenous Australians, live far from major centres providing HD services. Teledialysis (Tele-D), involving virtual nephrologist-led ward rounds, can improve access to specialist care while supporting community-based dialysis. This study evaluated the feasibility, safety and effectiveness of Tele-D for satellite HD units in Central Queensland. This retrospective cohort study compared patients receiving in-centre HD at Rockhampton Hospital (hospital group) with those receiving community HD (Tele-D group), where dialysis nurses delivered routine care under a nephrologist-led telehealth model comprising weekly virtual reviews via the Queensland Telehealth Portal and additional telephone or email support as required over a 2-year period. Both groups received routine monthly pathology review and face-to-face outpatient review every 3 months. Clinical and biochemical outcomes, including haemoglobin, urea reduction ratio, albumin, calcium, phosphate and parathyroid hormone, showed no significant differences in longitudinal trajectories between groups. Haemoglobin levels in the Tele-D group converged towards the recommended target range. Emergency department presentations, hospital length of stay and all-cause mortality were lower in the Tele-D group. However, after adjustment for age, sex, diabetes and modified Charlson comorbidity index (mCCI), the hazard ratio for mortality had a confidence interval crossing 1.0, indicating noninferiority rather than superiority. In this regional retrospective cohort, Tele-D was feasible, with clinical, biochemical and survival outcomes comparable with conventional hospital-based HD. Because patients in the Tele-D group were younger, had fewer comorbidities and exclusively used arteriovenous fistulas for vascular access, causal inference cannot be made. These findings support the Tele-D model of care and warrant further evaluation in larger prospective studies.

Indexed as

communityhaemodialysismortalityteledialysistelemedicine

Identifiers

PMID42761400
PMCPMC13586554

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.