Evidence map›Paper›PMID 35410016›Full record

ReviewInternational journal of environmental research and public health2022

The Behavioral Factors That Influence Person-Centered Social Care: A Literature Review and Conceptual Framework.

Eugene Tay, Ivo Vlaev, Sebastiano Massaro

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2022. 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

3 authors.

Eugene TayNUS Care Unit, Office of the Senior Deputy President and Provost, National University of Singapore, Singapore 119077, Singapore.
Ivo VlaevDepartment of Behavioural Science, Warwick Business School, University of Warwick, Coventry CV4 7AL, UK.
Sebastiano MassaroSurrey Business School, University of Surrey, Guildford GU2 7XH, UK.ORCID 0000-0001-8581-8546

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last decade has seen numerous policy reforms to emplace person-centered social care. Consequently, the public has been given more information, choice, and autonomy to decide how best they want to be cared for later in life. Despite this, adults generally fail to plan or prepare effectively for their future care needs. Understanding the behavioral antecedents of person-centered decision-making is thus critical for addressing key gaps in the provision of quality social care. To this end, we conducted a literature review of the psychological and health sciences with the aim of identifying the aspects that influence person-centered decision-making in social care. Using an established theoretical framework, we distilled nine behavioral factors-knowledge, competency, health, goal clarity, time discounting, familiarity, cognitive biases, cognitive overload, and emotion-associated with "Capability," "Opportunity," "Motivation," and "Behavior" that explained person-centered decision-making in social care. These factors exist to different degrees and change as a person ages, gradually impacting their ability to obtain the care they want. We discuss the role of carers and the promise of shared decision-making and conclude by advocating a shift from personal autonomy to one that is shared with carers in the delivery of quality social care.

Indexed as

CaregiversSocial SupportAdultDecision MakingDecision Making, SharedHumansPatient-Centered CarePersonal AutonomyQuality of Health Careadvance planningaging populationdecision-makingelderly carenudging

Identifiers

PMID35410016
PMCPMC8998779

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.