Evidence map›Paper›PMID 33382812›Full record

ArticlePloS one2020

Predictive validity of three home fall hazard assessment tools for older adults in Thailand.

Charupa Lektip, Sarawut Lapmanee, Thanapoom Rattananupong, Vitool Lohsoonthorn, Arnond Vorayingyong, Thira Woratanarat, Kitti-On Sirisuk, Plaiwan Suttanon, Rewwadee Petsirasan, Parinya Kitidumrongsuk and 1 more

Abstract read
In one paragraph

Article in PloS one, 2020. 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

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

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

11 authors.

Charupa LektipDepartment of Physical Therapy, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand.
Sarawut LapmaneePreclinical Department, Faculty of Medicine, Siam University, Bangkok, Thailand.ORCID 0000-0002-8890-9109
Thanapoom RattananupongDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Vitool LohsoonthornDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Arnond VorayingyongDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Thira WoratanaratDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Kitti-On SirisukDepartment of Interior Architecture, Faculty of Architecture, Chulalongkorn University, Bangkok, Thailand.
Plaiwan SuttanonDepartment of Physical Therapy, Faculty of Allied Health Sciences, Thammasat University, Bangkok, Thailand.
Rewwadee PetsirasanSchool of Nursing, Walailak University, Nakhon Si Thammarat, Thailand.
Parinya KitidumrongsukDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Wiroj JiamjarasrangsiDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-0610-6848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the predictive validity of two internationally well-known instruments, the Modified Home Falls and Accidents Screening Tool (Modified HOME FAST) and the Modified Home Falls and Accidents Screening Tool-Self Report (Modified HOME FAST-SR), and the newly developed Thai Home Falls Hazard Assessment Tool (Thai-HFHAT) (69 items) in predicting falls among older Thai adults. It also aimed to examine the predictive validity of the two abbreviated versions (44 and 27 items) of the Thai-HFHAT, which were developed post hoc to accommodate older adults' limited literacy and poor vision and to facilitate the identification of high-impact home fall hazards that are prevalent in the Thailand context. A prospective cohort study was conducted among 450 participants aged 60 years and above who were assessed by the aforementioned tools at baseline, for which data on fall incidence were then collected during the one-year follow-up. The Cox proportional hazard model was applied to estimate hazard ratios (HRs); then, Harrell's C-statistics and receiver operating characteristic (ROC) analyses were conducted to identify the best cutoff point, sensitivity and specificity for each instrument. The results showed that the fall hazard rate was 2.04 times per 1,000 person-days. Taking into account both the predictive validity and applicability, the Thai-HFHAT (44 items) was found to be the most suitable screening tool due to its highest sensitivity and specificity (93% and 72%) at the cutoff score of 18. In conclusion, our study showed that these internationally validated home fall hazard assessment tools were quite applicable for Thailand, but further tailoring the tools into a specific local context yielded even more highly valid tools in predicting fall risk among older Thai adults. Although these findings were well reproducible by inferring from the internal validation results, further external validation in the independent population is necessary.

Indexed as

Accidental FallsAgedAged, 80 and overFemaleGeriatric AssessmentHumansMaleMiddle AgedProspective StudiesRisk AssessmentSensitivity and SpecificityThailand

Identifiers

PMID33382812
PMCPMC7774965

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Registered trials

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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.