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The development and validation of a measurement instrument to investigate determinants of health care utilisation for low back pain in Ethiopia
Journal article   Open access   Peer reviewed

The development and validation of a measurement instrument to investigate determinants of health care utilisation for low back pain in Ethiopia

Getahun Kebede Beyera, Jane O'Brien and Steven Campbell
PLoS One, Vol.15(1), pp.1-17
2020
PMID: 31945105
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The development and validation of a measurement instrument to investigate determinants of health care utilisation for low back pain in Ethiopia1.03 MBDownloadView
Published VersionCC BY V4.0 Open Access
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https://doi.org/10.1371/journal.pone.0227801View
Published VersionCC BY V4.0 Open

Abstract

Ethiopia Low back pain (LBP) pain management determinants health care utilisation measurement
Low back pain (LBP) is a highly prevalent and disabling public health problem globally. However, little is known about factors affecting health care utilisation for optimal management of the pain, and there is no validated instrument to derive epidemiological data for a better understanding of these factors. The aim of this study was to develop and validate an instrument used to measure determinants of health care utilisation for LBP in Ethiopia. The relevant domains of potential determinants of health care utilisation for LBP were identified following a comprehensive review of the literature. Items relating to each domain were then generated by considering the context of Ethiopia, and where necessary, existing items were adapted. The instrument was then translated, and an expert panel reviewed the instrument for content validity, clarity and any other suggestions. Using the data collected from 1303 adults with LBP, factorial validity was assessed by conducting principal component and parallel analyses. Internal consistency reliability was also assessed using Cronbach's alpha. Intraclass correlation coefficient (ICC) and Cohen Kappa statistic were calculated to evaluate temporal stability of the instrument. Parallel analysis showed that there were six components with Eigenvalues (obtained from principal component analysis) exceeding the corresponding criterion values for a randomly generated data matrix of the same size. Cronbach's alpha for the internal consistency reliability ranged from 0.65 to 0.82. In assessing temporal stability, ICC ranged from 0.60, 95% CI: 0.23-0.98 to 0.95, 95% CI: 0.81-1.00 while Cohen Kappa ranged from 0.72, 95% CI: 0.49-0.94 to 0.93, 95% CI: 0.85-1.00. This study demonstrated that the newly developed instrument has an overall good level of content and factorial validity, internal consistency reliability, and temporal stability. In this way, this instrument is appropriate for measuring determinants of health care utilisation among people with LBP in Ethiopia.

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