Evidence map›Paper›PMID 26843380›Full record

ArticleInternational journal of behavioral medicine2016

Substitution of SF-36 by SF-12 Among Hong Kong Chinese Older Adults: Secondary Analysis of Randomized Controlled Trials.

Paul H Lee, Frances K Y Wong, Shao Ling Wang, Susan K Y Chow

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Article in International journal of behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

4 authors.

Paul H LeeSchool of Nursing, The Hong Kong Polytechnic University, GH519, Hung Hom, Kowloon, Hong Kong.
Frances K Y WongSchool of Nursing, The Hong Kong Polytechnic University, GH519, Hung Hom, Kowloon, Hong Kong. frances.wong@polyu.edu.hk.
Shao Ling WangSchool of Nursing, The Hong Kong Polytechnic University, GH519, Hung Hom, Kowloon, Hong Kong.
Susan K Y ChowSchool of Nursing, The Hong Kong Polytechnic University, GH519, Hung Hom, Kowloon, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to examine the appropriateness of substituting the Short-Form 36 (SF-36) by its shortened version (SF-12) in measuring health-related quality of life (HRQoL) in older Chinese population.

methodsSecondary analysis of two transitional care management programs, conducted from 2009 to 2012, were analyzed (n = 1188, aged 60-97). Participants were discharged patients with respiratory disease, type 2 diabetes, cardiac disease, and renal disease, and were classified according to number of chronic diseases. SF-36 was administered at baseline and 4-week follow-up.

resultsBoth overestimations and underestimations of HRQoL by SF-12 were found. Most domain scores of SF-36 and SF-12 were highly correlated (Spearman correlation (ρ) > 0.85), with the exception of General Health (ρ = 0.64) and Vitality subscales (ρ = 0.82). Multiple linear regression adjusted for demographic characteristics showed that the four out of eight domains of SF-36 and SF-12 were equivalent in measuring the difference across numbers of chronic diseases (all p < 0.05). Paired sample t tests in 989 (83.2 %) who completed the SF-36 survey 4 weeks after baseline showed that SF-12 overestimated the 4-week changes in most of the domains.

conclusionsThe use of the Chinese version of SF-12v2 for reporting the change over time in quality of life among medical patients after hospital discharge may need to be interpreted with caution. The SF-12 tends to underestimate the difference when compared with the SF-36.

Indexed as

Quality of LifeSurveys and QuestionnairesAgedAged, 80 and overAsian PeopleFemaleHong KongHumansMaleMiddle AgedMultivariate AnalysisRandomized Controlled Trials as TopicDischarged patientsElderlyQuality of lifeScale developmentValidity

Identifiers

PMID26843380

What OpenQuestion holds

Textmetadata
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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.