Evidence map›Paper›PMID 26572607›Full record

ArticleBMC nephrology2015

Healthcare decision-making in end stage renal disease-patient preferences and clinical correlates.

Anuradha Jayanti, Markus Neuvonen, Alison Wearden, Julie Morris, Philip Foden, Paul Brenchley, Sandip Mitra, BASIC-HHD study group

Abstract read
In one paragraph

Article in BMC nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. When attitudes and beliefs get in the way of shared decision-making: A mediation analysis of participation preference.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  6. Shared Decision-Making for a Dialysis Modality.Kidney international reports · 2022
    Review
  7. Article
  8. Article
  9. 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.

Anuradha JayantiDepartment of Nephrology, Central Manchester Hospitals NHS Trust, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, UK. anu_5577@yahoo.co.in.
Markus NeuvonenDepartment of Political and Economic Studies, University of Helsinki, Helsinki, Finland. markus.neuvonen@filosofianakatemia.fi.
Alison WeardenDepartment of Psychology, University of Manchester, Manchester, UK. Alison.Wearden@manchester.ac.uk.
Julie MorrisDepartment of Biostatistics, University of Manchester, Manchester, UK. Julie.Morris@manchester.ac.uk.
Philip FodenDepartment of Biostatistics, University of Manchester, Manchester, UK. Philip.Foden@manchester.ac.uk.
Paul BrenchleyDepartment of Nephrology, Central Manchester Hospitals NHS Trust, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, UK. Paul.Brenchley@manchester.ac.uk.
Sandip MitraDepartment of Nephrology, Central Manchester Hospitals NHS Trust, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, UK. Sandip.Mitra@cmft.nhs.uk.
BASIC-HHD study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical decision-making is critical to patient survival and well-being. Patients with end stage renal disease (ESRD) are faced with incrementally complex decision-making throughout their treatment journey. The extent to which patients seek involvement in the decision-making process and factors which influence these in ESRD need to be understood.

methods535 ESRD patients were enrolled into the cross-sectional study arm and 30 patients who started dialysis were prospectively evaluated. Patients were enrolled into 3 groups- 'predialysis' (group A), 'in-centre' haemodialysis (HD) (group B) and self-care HD (93 % at home-group C) from across five tertiary UK renal centres. The Autonomy Preference Index (API) has been employed to study patient preferences for information-seeking (IS) and decision-making (DM). Demographic, psychosocial and neuropsychometric assessments are considered for analyses.

results458 complete responses were available. API items have high internal consistency in the study population (Cronbach's alpha > 0.70). Overall and across individual study groups, the scores for information-seeking and decision-making are significantly different indicating that although patients had a strong preference to be well informed, they were more neutral in their preference to participate in DM (p < 0.05). In the age, education and study group adjusted multiple linear regression analysis, lower age, female gender, marital status; higher API IS scores and white ethnicity background were significant predictors of preference for decision-making. DM scores were subdivided into tertiles to identify variables associated with high (DM > 70: and low DM (≤30) scores. This shows association of higher DM scores with lower age, lower comorbidity index score, higher executive brain function, belonging in the self-caring cohort and being unemployed. In the prospectively studied cohort of predialysis patients, there was no change in decision-making preference scores after commencement of dialysis.

conclusionESRD patients prefer to receive information, but this does not always imply active involvement in decision-making. By understanding modifiable and non-modifiable factors which affect patient preferences for involvement in healthcare decision-making, health professionals may acknowledge the need to accommodate individual patient preferences to the extent determined by the individual patient factors.

Indexed as

Decision MakingPatient PreferenceCross-Sectional StudiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedPatient ParticipationProspective Studies

Identifiers

PMID26572607
PMCPMC4647276

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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.