University of Lucerne Reports Findings in Health Services [The Swiss Health Insurance Literacy Measure (HILM-CH): Measurement Properties and Cross-Cultural Validation]: Health and Medicine - Health Services - Insurance News | InsuranceNewsNet

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February 6, 2023 Newswires
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University of Lucerne Reports Findings in Health Services [The Swiss Health Insurance Literacy Measure (HILM-CH): Measurement Properties and Cross-Cultural Validation]: Health and Medicine – Health Services

Insurance Daily News

2023 FEB 06 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- New research on Health and Medicine - Health Services is the subject of a report. According to news reporting out of Lucerne, Switzerland, by NewsRx editors, the research stated, “Most consumers face difficulties when choosing and navigating health insurance plans. Health insurance literacy (HIL) has been discussed as a critical lever to ensure efficient choices and navigation in choice-based health insurance systems.”

Our news journalists obtained a quote from the research from the University of Lucerne, “Still, existing evidence about HIL mainly comes from the US, and the only validated scale, the Health Insurance Literacy Measure (HILM), may not be adequate to measure HIL outside US samples. This paper describes the measurement properties of the Swiss Health Insurance Literacy Measure (HILM-CH), the first scale to measure HIL in Switzerland. The items of the HILM-CH were adapted from the HILM in German, French, and Italian. A panel of experts refined it to ensure its suitability for the Swiss context. The final version of the HILM-CH contains 21 items, and other relevant measures were administered in the Swiss Health Insurance Literacy Survey to a sample of 6036 insurees. Measurement properties were investigated overall and per linguistic group. Internal reliability was determined using Cronbach’s alphas. Criterion validity was examined through convergent and concurrent validity of the HILM-CH. The construct validity was assessed using factor analysis. Measurement invariance of the HILM-CH between linguistic regions was further evaluated using multiple-group confirmatory factor analyses. The HILM-CH had acceptable to good reliability (alphas between 0.70 and 0.91). Concurrent and convergent validity showed that HILM-CH is a good measurement of HIL. Factor analysis revealed a four-factor model and showed an acceptable fit to the data (CFI= 0.977; TLI = 0.974; RMSEA = 0.061; SRMR = 0.032). Using the established four-factor model, measurement invariance was established across Switzerland’s German, French, and Italian-speaking regions. The HILM-CH is a reliable and valid measure of HIL across Switzerland’s German, French, and Italian-speaking regions.”

According to the news editors, the research concluded: “It can be used in future research to find associations between HIL and individual characteristics.”

For more information on this research see: The Swiss Health Insurance Literacy Measure (HILM-CH): Measurement Properties and Cross-Cultural Validation. BMC Health Services Research, 2023;23(1):85. BMC Health Services Research can be contacted at: Bmc, Campus, 4 Crinan St, London N1 9XW, England. (BioMed Central - http://www.biomedcentral.com/; BMC Health Services Research - http://www.biomedcentral.com/bmchealthservres/)

Our news journalists report that additional information may be obtained by contacting Tess L. C. Bardy, Dept. of Health Sciences and Medicine & Center for Health, Policy and Economics, University of Lucerne, Frohburgstrasse 3, CH-6002, Lucerne, Switzerland.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1186/s12913-022-08986-0. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Publisher contact information for the journal BMC Health Services Research is: Bmc, Campus, 4 Crinan St, London N1 9XW, England.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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