Evidence map›Paper›PMID 35072904›Full record

SynthesisQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2022

The impact of loneliness and social isolation on health state utility values: a systematic literature review.

Ishani K Majmudar, Cathrine Mihalopoulos, Bianca Brijnath, Michelle H Lim, Natasha Yvonne Hall, Lidia Engel

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Measuring outcomes for loneliness research: examining the appropriateness of the EQ-5D-5 L and EQ-HWB.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. [Migration background and loneliness among middle-aged and older adults in Germany].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
  10. Review
  11. Extending the EQ-5D: the case for a complementary set of 4 psycho-social dimensions.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  12. 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

6 authors at 3 institutions in 1 country.

Ishani K MajmudarFaculty of Health, School of Health and Social Development, Institute for Health Transformation, Deakin Health Economics, Deakin University, Geelong, VIC, Australia. Ishani.majmudar@deakin.edu.au.ORCID http://orcid.org/0000-0003-2059-4857
Cathrine MihalopoulosFaculty of Health, School of Health and Social Development, Institute for Health Transformation, Deakin Health Economics, Deakin University, Geelong, VIC, Australia.
Bianca BrijnathSocial Gerontology, National Ageing Research Institute (NARI), Parkville, Australia.
Michelle H LimCentre for Mental Health, Swinburne University of Technology, Hawthorn, Australia.
Natasha Yvonne HallFaculty of Health, School of Health and Social Development, Institute for Health Transformation, Deakin Health Economics, Deakin University, Geelong, VIC, Australia.
Lidia EngelFaculty of Health, School of Health and Social Development, Institute for Health Transformation, Deakin Health Economics, Deakin University, Geelong, VIC, Australia.
Deakin University · AUNational Ageing Research Institute · AUSwinburne University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoneliness and social isolation are recognised as social problems and denote a significant health burden. The aim of this study was to conduct a systematic literature review to explore the health state utility values (HSUVs) associated with loneliness and/or social isolation.

methodPeer-reviewed journals published in English language that reported both HSUVs along with loneliness and/or social isolation scores were identified through five databases. No restrictions were made relating to the population, study design or utility estimation method used.

resultsIn total, 19 papers were included; 12 included a measure of loneliness, four studies included a measure of social isolation and three studies considered both loneliness and social isolation. All studies focused on individuals with pre-existing health conditions-where the EQ-5D-3L instrument was most frequently used to assess HSUVs. HSUVs ranged from 0.5 to 0.95 in those who reported not being lonely, 0.42 to 0.97 in those who experienced some level of loneliness, 0.3 to 0.87 in those who were socially isolated and 0.63 to 0.94 in those who were not socially isolated.

conclusionThere was significant variation in HSUVs complicated by the presence of co-morbidities, population heterogeneity, variations in methods used to derive utility scores and differences in the measurement of loneliness and/or social isolation. Nevertheless, the lower HSUVs observed should be considered to significantly impact quality of life, though we also note the need for further research to explore the unique impact of loneliness and social isolation on HSUVs that can be used in the future economic evaluations.

Indexed as

LonelinessQuality of LifeCost-Benefit AnalysisHumansSocial IsolationEconomic burdenHealth burdenHealth state utility valuesLonelinessSocial isolation

Identifiers

PMID35072904
PMCPMC8785005
OpenAlexW4206945664

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.