Evidence map›Paper›PMID 38504733›Full record

ArticleJournal of mid-life health

Development and Validation of India-specific Hindi Version of Osteoporosis Knowledge Assessment Tool.

Sitanshu Barik, Vikash Raj, Boudhayan Das Munshi, Ojasvi Rajput, Shivji Prajapati, Sant Guru Prasad, Ashish Kumar

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Article in Journal of mid-life health. 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
1.5field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Sitanshu BarikDepartment of Orthopedics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Vikash RajDepartment of Orthopedics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Boudhayan Das MunshiDepartment of General Medicine, All India Institute of Medical Sciences, Kalyani, West Bengal, India.
Ojasvi RajputDepartment of Mathematics and Statistics, Indian Institute of Technology, Kanpur, Uttar Pradesh, India.
Shivji PrajapatiDepartment of Orthopedics, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Sant Guru PrasadDepartment of Orthopedics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
Ashish KumarDepartment of Orthopedics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.
All India Institute of Medical Sciences, DeogharAll India Institute of Medical Sciences · INAll India Institute of Medical Sciences Raipur · INIndian Institute of Technology Kanpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Patient education is one of the important components of reducing the morbidity of osteoporosis. The aim of this study is to validate the Hindi version of the Osteoporosis Knowledge Assessment Tool (OKAT-H) among a hospital-based sample in the age group of 18-44 years of age. Methods: The study was conducted in two phases - translation and adaption of the OKAT in Hindi followed by its validation. The translated tool was analyzed by Flesch reading ease, McNemar test, Cronbach alpha, difficulty index, discrimination index, and principal factor analysis. Results: Two hundred and sixty women with a mean age of 28.3 ± 17.2 years were enrolled in the study. The mean score of the OKAT-H tool obtained in the study was 11.3 ± 2.1. A significant difference was noted in the scores based on educational qualification or with any family history of either osteoporosis or fracture ( Conclusion: A new shorter version of the tool may be developed since six items showed low consistency. The use of such an instrument in local language would help spread awareness about the disease as well as help the population in adopting osteoprotective strategies and also to seek help and advice regarding treatment.

Indexed as

IndiaosteoporosisOsteoporosis Knowledge Assessment Toolpsychometric properties

Identifiers

PMID38504733
PMCPMC10946677
OpenAlexW4392099505

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.