Evidence map›Paper›PMID 38236325›Full record

ArticleJournal of patient-reported outcomes2024

The subjective and objective quality of life score (SOQOLTM) for the quantification of general health status: a preliminary study with initial normative population values.

Ralph J Mobbs, R Dineth Fonseka, Pragadesh Natarajan, Lianne Koinis, Monish Maharaj

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Article in Journal of patient-reported outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ralph J MobbsNeuroSpine Surgery Research Group (NSURG), Sydney, Australia.
R Dineth FonsekaNeuroSpine Surgery Research Group (NSURG), Sydney, Australia.
Pragadesh NatarajanNeuroSpine Surgery Research Group (NSURG), Sydney, Australia.
Lianne KoinisWearables and Gait Assessment Research Group (WAGAR), Sydney, Australia. lianne@koinis.com.au.ORCID 0000-0001-5955-0910
Monish MaharajNeuroSpine Surgery Research Group (NSURG), Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstablished health-related quality of life scores do not consider both subjective and objective indices of health. We propose the subjective and objective quality of life score (SOQOL) for the comprehensive assessment of health-related quality of life and aim to provide normative population data. The SOQOL is compatible with smartphone applications, allowing widespread use on a global scale.

methodsNormative SOQOL population data was sourced from pre-existing datasets on the EQ-5D-5L, daily step count, and walking speed. Normative values were calculated using weighted grand means. We trialled the SOQOL in a group of five patients presenting to a spinal neurosurgery clinic.

resultsSOQOL scores decreased with age, and women had lower scores in every age group. In our case series, the spine patients with the biggest SOQOL deficit compared to age- and sex-matched population averages were found to be surgical while the rest were non-surgical.

conclusionsThe SOQOL shows promise as a simple and effective scoring tool that is compatible with smartphones, potentially useful for screening in primary and specialized care settings, and for assessment following healthcare interventions. This study, however, is preliminary, and the findings are primarily suggestive. They underline the necessity for future, more comprehensive studies to validate and expand upon these initial observations. The conclusion of both this abstract and the full paper will clearly state these limitations and the preliminary nature of the study.

Indexed as

Mobile ApplicationsQuality of LifeAmbulatory Care FacilitiesFemaleHumansRestSmartphoneAnxietyDaily step countDepressionGait analysisGait metricsGait speedHealth metricsObjectivePainQOLSMoSSOQOLStep countWalkingWalking speed

Identifiers

PMID38236325
PMCPMC10796876

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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.