Evidence map›Paper›PMID 29367185›Full record

ArticleJournal of medical Internet research2018

Effect of Contract Compliance Rate to a Fourth-Generation Telehealth Program on the Risk of Hospitalization in Patients With Chronic Kidney Disease: Retrospective Cohort Study.

Chi-Sheng Hung, Jenkuang Lee, Ying-Hsien Chen, Ching-Chang Huang, Vin-Cent Wu, Hui-Wen Wu, Pao-Yu Chuang, Yi-Lwun Ho

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06274710 (Open Access Digital CommunitY Promoting Self-Care, Peer Support, and HEalth LitEracy), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT06274710 narecruitingnot on this mapstarted 2023, after this paper: background citation

Open Access Digital CommunitY Promoting Self-Care, Peer Support, and HEalth LitEracy (ODYSSEE) for Kidney Health (KH) Trial

TypeinterventionalSponsorUniversity Health Network, TorontoRan2023 to 2026Enrolled344ConditionsChronic Kidney DiseasesArmsODYSSEE-KH
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

8 authors.

Chi-Sheng HungTelehealth Center, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0002-0158-7232
Jenkuang LeeTelehealth Center, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0003-3790-484X
Ying-Hsien ChenTelehealth Center, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0003-2746-4967
Ching-Chang HuangTelehealth Center, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0001-8733-6217
Vin-Cent WuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0001-7935-0991
Hui-Wen WuTelehealth Center, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0002-4565-250X
Pao-Yu ChuangTelehealth Center, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0002-8618-6912
Yi-Lwun HoTelehealth Center, National Taiwan University Hospital, Taipei, Taiwan.ORCID 0000-0002-8936-9570

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is prevalent in Taiwan and it is associated with high all-cause mortality. We have shown in a previous paper that a fourth-generation telehealth program is associated with lower all-cause mortality compared to usual care with a hazard ratio of 0.866 (95% CI 0.837-0.896).

objectiveThis study aimed to evaluate the effect of renal function status on hospitalization among patients receiving this program and to evaluate the relationship between contract compliance rate to the program and risk of hospitalization in patients with CKD.

methodsWe retrospectively analyzed 715 patients receiving the telehealth care program. Contract compliance rate was defined as the percentage of days covered by the telehealth service before hospitalization. Patients were stratified into three groups according to renal function status: (1) normal renal function, (2) CKD, or (3) end-stage renal disease (ESRD) and on maintenance dialysis. The outcome measurements were first cardiovascular and all-cause hospitalizations. The association between contract compliance rate, renal function status, and hospitalization risk was analyzed with a Cox proportional hazards model with time-dependent covariates.

resultsThe median follow-up duration was 694 days (IQR 338-1163). Contract compliance rate had a triphasic relationship with cardiovascular and all-cause hospitalizations. Patients with low or very high contract compliance rates were associated with a higher risk of hospitalization. Patients with CKD or ESRD were also associated with a higher risk of hospitalization. Moreover, we observed a significant interaction between the effects of renal function status and contract compliance rate on the risk of hospitalization: patients with ESRD, who were on dialysis, had an increased risk of hospitalization at a lower contract compliance rate, compared with patients with normal renal function or CKD.

conclusionsOur study showed that there was a triphasic relationship between contract compliance rate to the telehealth program and risk of hospitalization. Renal function status was associated with risk of hospitalization among these patients, and there was a significant interaction with contract compliance rate.

Indexed as

AgedCohort StudiesFemaleHospitalizationHumansMaleMiddle AgedPatient ComplianceRenal Insufficiency, ChronicRetrospective StudiesTelemedicinechronic kidney diseasecontract compliance ratetelehealth

Identifiers

PMID29367185
PMCPMC5803530

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.