Evidence map›Paper›PMID 29859047›Full record

Observational studyBMC nephrology2018

Patient and treatment characteristics associated with patient activation in patients undergoing hemodialysis: a cross-sectional study.

Liesbet Van Bulck, Kathleen Claes, Katrien Dierickx, Annelies Hellemans, Sofie Jamar, Sven Smets, Gijs Van Pottelbergh

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  16. Utilization of CMS pre-ESRD Kidney Disease Education services and its associations with the home dialysis therapies.Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis · 2021
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  17. Article
  18. Determinants of patient activation and its association with cardiovascular disease risk in chronic kidney disease: A cross-sectional study.Health expectations : an international journal of public participation in health care and health policy · 2021
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  19. Measuring Patient Activation as Part of Kidney Disease Policy: Are We There Yet?Journal of the American Society of Nephrology : JASN · 2020
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  20. Review
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

7 authors.

Liesbet Van BulckKU Leuven, Department of Public Health and Primary Care, Academic Centre for Nursing and Midwifery, Kapucijnenvoer 35 (box 7001), B-3000, Leuven, Belgium. liesbetvanbulck@gmail.com.ORCID 0000-0001-8975-4455
Kathleen ClaesUniversity Hospitals Leuven, Department of Nephrology and Renal Transplantation, Herestraat 49, B-3000, Leuven, Belgium.
Katrien DierickxUniversity Hospitals Leuven, Department of Nephrology and Renal Transplantation, Herestraat 49, B-3000, Leuven, Belgium.
Annelies HellemansUniversity Hospitals Leuven, Department of Nephrology and Renal Transplantation, Herestraat 49, B-3000, Leuven, Belgium.
Sofie JamarImeldaziekenhuis, Nephrology, Imeldalaan 9, B-2820, Bonheiden, Belgium.
Sven SmetsSint-Trudo Ziekenhuis, Nephrology, Diestersteenweg 100, B-3800, Sint-Truiden, Belgium.
Gijs Van PottelberghKU Leuven, Department of Public Health and Primary Care, Academic Centre for General Practice, Kapucijnenvoer 33 (box 7001), B-3000, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient activation is associated with better outcomes and lower costs. Although the concept is widely investigated, little attention was given to patient activation and its predictors in patients undergoing hemodialysis. Hence, we aimed to investigate the level of patient activation and aimed to determine patient- and treatment-related predictors of activation in patients undergoing hemodialysis.

methodsThis cross-sectional observational study recruited patients undergoing hemodialysis in three Flemish hospitals. Participants were questioned about patient characteristics (i.e., age, sex, education, employment, children, social support, leisure-time, living condition, and care at home), treatment- and health-related characteristics (i.e., hospital, time since first dialysis, transplantation, self-reported health (EQ-VAS) and depressive symptoms (PHQ-2)), and patient activation (PAM-13). Univariate and multiple linear regression analyses with dummy variables were conducted to investigate the associations between the independent variables and patient activation.

resultsThe average patient activation-score was 51. Of 192 patients, 44% patients did not believe they had an important role regarding their health. Multiple linear regression showed that older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, and living in a residential care home, had lower patient activation. These variables explained 31% of the variance in patient activation. Based on literature, we found that activation of patients on hemodialysis is low, compared to that of other chronic patient groups.

conclusionIt could be useful to implement patient activation monitoring, since the level of activation is low in patients undergoing hemodialysis. Older patients, who reported being in bad health, treated in a particular hospital, without leisure-time activities, living in a residential care home, are at higher risk for lower activation.

Indexed as

AgedAged, 80 and overBelgiumCross-Sectional StudiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedPatient ParticipationRenal DialysisSurveys and QuestionnairesEnd-stage renal diseaseHemodialysisPatient activationPersonalized interventions

Identifiers

PMID29859047
PMCPMC5984733

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.