Evidence map›Paper›PMID 36836533›Full record

ReviewJournal of personalized medicine2023

Psychometric Properties of Suboptimal Health Status Instruments: A Systematic Review.

Mohamed Ali Alzain, Collins Otieno Asweto, Sehar-Un-Nisa Hassan, Mohammed Elshiekh Saeed, Ahmed Kassar, Bandar Alsaif

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Mohamed Ali AlzainDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il 55476, Saudi Arabia.ORCID 0000-0002-0085-5805
Collins Otieno AswetoDepartment of Community Health, School of Nursing, University of Embu, Embu 6-60100, Kenya.ORCID 0000-0003-3514-9836
Sehar-Un-Nisa HassanDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il 55476, Saudi Arabia.ORCID 0000-0002-4703-4094
Mohammed Elshiekh SaeedFaculty of Medicine, National University-Sudan, Khartoum 11115, Sudan.
Ahmed KassarDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il 55476, Saudi Arabia.ORCID 0000-0001-8518-2314
Bandar AlsaifDepartment of Public Health, College of Public Health and Health Informatics, University of Ha'il, Ha'il 55476, Saudi Arabia.

Funding

University of Ha'il RG-20215
6 · The paper itself

Abstract

backgroundSuboptimal health status (SHS) measurement has now been recognized as an essential construct in predictive, preventive, and personalized medicine. Currently, there are limited tools, and an ongoing debate about appropriate tools. Therefore, it is crucial to evaluate and generate conclusive evidence about the psychometric properties of available SHS tools.

objectiveThis research aimed to identify and critically assess the psychometric properties of available SHS instruments and provide recommendations for their future use.

methodsArticles were retrieved by following the guidelines of the PRISMA checklist, and the robustness of methods and evidence about the measurement properties was assessed using the adapted COSMIN checklist. The review was registered in PROSPERO.

resultsThe systematic review identified 14 publications describing four subjective SHS measures with established psychometric properties; these included the Suboptimal Health Status Questionnaire-25 (SHSQ-25), Sub-health Measurement Scale Version 1.0 (SHMS V1.0), Multidimensional Sub-health Questionnaire of Adolescents (MSQA), and the Sub-Health Self-Rating Scale (SSS). Most studies were conducted in China and reported three reliability indices: (1) the internal consistency measured by Cronbach's α value ranged between 0.70 and 0.96; (2) the test-retest reliability; and (3) the split-half reliability coefficient values ranged between 0.64 and 0.98, and between 0.83 and 0.96, respectively. For the values of validity coefficients in the case of SHSQ-25 > 0.71, the SHMS-1.0 ranged from 0.64 to 0.87, and the SSS ranged from 0.74 to 0.96. Using these existing and well-characterized tools rather than constructing original tools is beneficial, given that the existing choice demonstrated sound psychometric properties and established norms.

conclusionsThe SHSQ-25 stood out as being more suitable for the general population and routine health surveys, because it is short and easy to complete. Therefore, there is a need to adapt this tool by translating it into other languages, including Arabic, and establishing norms based on populations from other regions of the world.

Indexed as

a systematic reviewinstrumentsmeasurementpsychometricsreliabilitysub-optimal health statustoolsvalidity

Identifiers

PMID36836533
PMCPMC9967625

What OpenQuestion holds

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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.