Evidence map›Paper›PMID 32050911›Full record

ArticleBMC geriatrics2020

Elderly patients' decision-making embedded in the social context: a mixed-method analysis of subjective norms and social support.

Kirti D Doekhie, Martina Buljac-Samardzic, Mathilde M H Strating, Jaap Paauwe

Abstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Surgery patients' perspectives of their role in postoperative pain: A scoping review.International journal of nursing studies advances · 2023
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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

4 authors.

Kirti D DoekhieErasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands. doekhie@eshpm.eur.nl.ORCID 0000-0002-3313-1811
Martina Buljac-SamardzicErasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands.
Mathilde M H StratingErasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands.
Jaap PaauweErasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, PO Box 1738, 3000 DR, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder patients are increasingly encouraged to be actively involved but how they perceive their role in the decision-making process varies according to their health care providers and their health situation. Their role could be influenced by their social context but more specifically by subjective norms (i.e. patients' view of the role that significant others expect them to play in the decision-making process) and perceived social support. We explore how social context (i.e. subjective norms and social support) relates to how the patient perceives their role in the decision-making process. Also, we explore the level of alignment on subjective norms between patients and their informal caregivers and nurses.

methodsMixed-method study among older patients, informal caregivers and nurses. For the quantitative questionnaire, a home care organisation randomly selected patients. The patients were asked to identify their informal caregiver and the home care organisation was asked to identify the nurse who was most involved in their care. In total 133 patients, 64 informal caregivers and 72 nurses were questioned. Participants for the qualitative interviews were selected using convenience sampling, resulting in the inclusion of ten patients, five informal caregivers and six nurses. Subjective norms were based on a previous study. Social support was measured with the 'social support for health scale' of the Health Literacy Questionnaire. The Control Preference Scale was used as outcome variable. The interviews focused on subjective norms, social support and how the patient perceived their role. Quantitative analysis included the calculation of subjective norm difference scores between respondent groups, one-way analysis of variance and multinomial logistic regression analysis. Directed content analysis was applied to the interviews using Atlas TI.

resultsLower difference scores were found for patient-informal caregiver dyads (mean = 0.95), implying more alignment than in patient-nurse dyads (mean = 2.12). Patients perceiving themselves to have a shared or passive role tend to believe that they are expected to leave decision-making to the health care provider. Higher social support scores related more to a shared role. Alignment relates to: familiarity with the patient's preferences, overprotectiveness or valuing the care provider's opinion and the severity of the patient's medical history.

conclusionPatients and informal caregivers align on whether the patient should make decisions. The more patients believe that they are expected to leave decision-making to the health care provider, the more they perceive themselves as having a passive role. The more patients who feel they have support, the more they perceive themselves as having a shared role. Patients and caregivers could be facilitated to make role expectations explicit. Examining support resources in the social network is desirable.

Indexed as

CaregiversSocial SupportAgedDecision MakingHealth PersonnelHumansNurse-Patient RelationsSurveys and QuestionnairesDecision-makingPatient roleSocial contextSocial supportSubjective norms

Identifiers

PMID32050911
PMCPMC7017481

What OpenQuestion holds

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LicenceCC BY
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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.