Evidence map›Paper›PMID 36560312›Full record

ReviewSensors (Basel, Switzerland)2022

Sensor-Based Assessment of Social Isolation and Loneliness in Older Adults: A Survey.

Deepa Prabhu, Mahnoosh Kholghi, Moid Sandhu, Wei Lu, Katie Packer, Liesel Higgins, David Silvera-Tawil

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The social environment and cognitive aging over the life course: laying out critical concepts and research gaps.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  4. Social connection and cognitive health: A review of concepts, measures, and research priorities.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

7 authors at 1 institution in 1 country.

Deepa PrabhuAustralian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.ORCID 0000-0002-0257-2200
Mahnoosh KholghiAustralian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.ORCID 0000-0002-2979-6554
Moid SandhuAustralian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.ORCID 0000-0001-6444-0900
Wei LuAustralian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.ORCID 0000-0002-2869-8450
Katie PackerAustralian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.ORCID 0000-0001-7086-5251
Liesel HigginsAustralian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.ORCID 0000-0001-5470-7034
David Silvera-TawilAustralian eHealth Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.ORCID 0000-0003-2653-0141
Commonwealth Scientific and Industrial Research Organisation · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social isolation (SI) and loneliness are 'invisible enemies'. They affect older people's health and quality of life and have significant impact on aged care resources. While in-person screening tools for SI and loneliness exist, staff shortages and psycho-social challenges fed by stereotypes are significant barriers to their implementation in routine care. Autonomous sensor-based approaches can be used to overcome these challenges by enabling unobtrusive and privacy-preserving assessments of SI and loneliness. This paper presents a comprehensive overview of sensor-based tools to assess social isolation and loneliness through a structured critical review of the relevant literature. The aim of this survey is to identify, categorise, and synthesise studies in which sensing technologies have been used to measure activity and behavioural markers of SI and loneliness in older adults. This survey identified a number of feasibility studies using ambient sensors for measuring SI and loneliness activity markers. Time spent out of home and time spent in different parts of the home were found to show strong associations with SI and loneliness scores derived from standard instruments. This survey found a lack of long-term, in-depth studies in this area with older populations. Specifically, research gaps on the use of wearable and smart phone sensors in this population were identified, including the need for co-design that is important for effective adoption and practical implementation of sensor-based SI and loneliness assessment in older adults.

Indexed as

LonelinessQuality of LifeAgedHumansPrivacySocial Isolationactivity markersassessmentlonelinessolder adultspassive monitoringsensorssocial isolation

Identifiers

PMID36560312
PMCPMC9781772
OpenAlexW4312196180

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.